diff --git a/BrowserGym/.gitignore b/BrowserGym/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f4f63f13f8376906de3a987afd5889428044e993 --- /dev/null +++ b/BrowserGym/.gitignore @@ -0,0 +1,154 @@ +.DS_store +.idea/ +docs/src/generated/ + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# error logs +error_logs.txt + +# tests +tests/results +tmp.py +.vscode/** + +# demo and results +results/ + +.vscode/launch.json + +# assistantbench +tests/assistantbench/assistantbench-predictions-test.jsonl + +# weblinx +bg_wl_data/ + +uv.lock diff --git a/BrowserGym/.pre-commit-config.yaml b/BrowserGym/.pre-commit-config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2540c4401414dcb70b89403e1204b14c19b4191e --- /dev/null +++ b/BrowserGym/.pre-commit-config.yaml @@ -0,0 +1,44 @@ +fail_fast: false + +default_language_version: + python: python3 + +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.2.0 + hooks: + - id: trailing-whitespace + exclude: ^(.*)\.md$ + - id: end-of-file-fixer + - id: check-yaml + exclude: ^(.circleci/recipe|recipe) # conda build recipes are templated + - id: check-added-large-files + - repo: https://github.com/pocc/pre-commit-hooks + rev: v1.1.1 + hooks: + - id: clang-format + args: [--style=file, -i] + - id: clang-tidy + args: [--fix, --fix-errors] + - repo: https://github.com/psf/black + rev: 24.2.0 + hooks: + - id: black + args: [--config=./pyproject.toml] + - repo: https://github.com/asottile/blacken-docs + rev: v1.12.1 + hooks: + - id: blacken-docs + args: [ '--line-length', '100' ] + additional_dependencies: [black] + - repo: https://github.com/Lucas-C/pre-commit-hooks + rev: v1.5.5 + hooks: + - id: forbid-crlf + - id: remove-crlf + # Black does not clear tabs in docstrings + - id: forbid-tabs + files: '.*\.py$' + - id: remove-tabs + files: '.*\.py$' + args: [ '--whitespaces-count', '4' ] \ No newline at end of file diff --git a/BrowserGym/.readthedocs.yaml b/BrowserGym/.readthedocs.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ce73045be1277d70c440176a52ede53c9b5c5b2b --- /dev/null +++ b/BrowserGym/.readthedocs.yaml @@ -0,0 +1,32 @@ +# .readthedocs.yaml +# Read the Docs configuration file +# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details + +# Required +version: 2 + +# Set the OS, Python version and other tools you might need +build: + os: ubuntu-22.04 + tools: + python: "3.12" + # You can also specify other tool versions: + # nodejs: "19" + # rust: "1.64" + # golang: "1.19" + +# Build documentation in the "docs/" directory with Sphinx +sphinx: + configuration: docs/src/conf.py + +# Optionally build your docs in additional formats such as PDF and ePub +# formats: +# - pdf +# - epub + +# Optional but recommended, declare the Python requirements required +# to build your documentation +# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html +python: + install: + - requirements: docs/requirements.txt diff --git a/BrowserGym/LICENSE b/BrowserGym/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..7bdcaa655270b02eb4b5a7446e81474d99b302a0 --- /dev/null +++ b/BrowserGym/LICENSE @@ -0,0 +1,13 @@ + Copyright 2024 ServiceNow + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/BrowserGym/Makefile b/BrowserGym/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..c8b0fd7a9a34ca8540569d64863d386b127c4123 --- /dev/null +++ b/BrowserGym/Makefile @@ -0,0 +1,17 @@ +install: + @echo "--- 🚀 Installing project dependencies ---" + pip install -e ./browsergym/core -e ./browsergym/miniwob -e ./browsergym/webarena -e ./browsergym/visualwebarena/ -e ./browsergym/experiments -e ./browsergym/assistantbench -e ./browsergym/ + playwright install chromium + +install-demo: + @echo "--- 🚀 Installing demo dependencies ---" + pip install -r demo_agent/requirements.txt + playwright install chromium + +demo: + @echo "--- 🚀 Running demo agent ---" + (set -x && cd demo_agent && python run_demo.py) + +test-core: + @echo "--- 🧪 Running tests ---" + pytest -n auto ./tests/core diff --git a/BrowserGym/README.md b/BrowserGym/README.md new file mode 100644 index 0000000000000000000000000000000000000000..0b02e7f9e37aaf2b821e1852e04092f9077ff1b4 --- /dev/null +++ b/BrowserGym/README.md @@ -0,0 +1,254 @@ +
+ +![BrowserGym banner](https://github.com/user-attachments/assets/4853f210-43ac-4107-a0d2-95c9c614dbe7) + +🛠️ [Setup](#%EF%B8%8F-setup) - +🏋 [Usage](#-usage) - +💻 [Demo](#-demo) - +🌐 [Ecosystem](#-ecosystem) - +🚀 [AgentLab](https://github.com/ServiceNow/AgentLab) - +🌟 [Contributors](#-contributors) - +📄 [Paper](https://arxiv.org/abs/2412.05467) - +📝 [Citation](#-citing-this-work) + +[![pypi](https://badge.fury.io/py/browsergym.svg)](https://pypi.org/project/browsergym/) +[![PyPI - License](https://img.shields.io/pypi/l/browsergym?style=flat-square)]([https://opensource.org/licenses/MIT](http://www.apache.org/licenses/LICENSE-2.0)) +[![PyPI - Downloads](https://img.shields.io/pypi/dm/browsergym-core?style=flat-square)](https://pypistats.org/packages/browsergym-core) +[![GitHub star chart](https://img.shields.io/github/stars/ServiceNow/BrowserGym?style=flat-square)](https://star-history.com/#ServiceNow/BrowserGym) +[![Code Format](https://github.com/ServiceNow/BrowserGym/actions/workflows/code_format.yml/badge.svg)](https://github.com/ServiceNow/BrowserGym/actions/workflows/code_format.yml) +[![Tests](https://github.com/ServiceNow/BrowserGym/actions/workflows/unit_tests.yml/badge.svg)](https://github.com/ServiceNow/BrowserGym/actions/workflows/unit_tests.yml) + +```python +pip install browsergym +``` + +
+ +> [!WARNING] +> BrowserGym is meant to provide an open, easy-to-use and extensible framework to accelerate the field of web agent research. +> It is not meant to be a consumer product. Use with caution! + +> [!TIP] +> 🚀 Check out [AgentLab](https://github.com/ServiceNow/AgentLab)✨ ! +> A seamless framework to implement, test, and evaluate your web agents on all BrowserGym benchmarks. + +https://github.com/ServiceNow/BrowserGym/assets/26232819/e0bfc788-cc8e-44f1-b8c3-0d1114108b85 + +_Example of a GPT4-V agent executing openended tasks (top row, chat interactive), as well as WebArena and WorkArena tasks (bottom row)._ + +BrowserGym includes the following benchmarks by default: + - [MiniWoB](https://miniwob.farama.org/) + - [WebArena](https://webarena.dev/) + - [VisualWebArena](https://jykoh.com/vwa) + - [WorkArena](https://github.com/ServiceNow/WorkArena) + - [AssistantBench](https://github.com/oriyor/assistantbench) + - [WebLINX](https://github.com/McGill-NLP/weblinx) (static benchmark) + +Designing new web benchmarks with BrowserGym is easy, and simply requires to inherit the [`AbstractBrowserTask`](https://github.com/ServiceNow/BrowserGym/blob/main/browsergym/core/src/browsergym/core/task.py#L7C7-L7C26) class. + +## 🛠️ Setup + +To use browsergym, install one of the following packages: +```sh +pip install browsergym # (recommended) everything below +pip install browsergym-experiments # experiment utilities (agent, loop, benchmarks) + everything below +pip install browsergym-core # core functionalities only (no benchmark, just the openended task) +pip install browsergym-miniwob # core + miniwob +pip install browsergym-webarena # core + webarena +pip install browsergym-visualwebarena # core + visualwebarena +pip install browsergym-workarena # core + workarena +pip install browsergym-assistantbench # core + assistantbench +pip install weblinx-browsergym # core + weblinx +``` + +Then setup playwright by running +```sh +playwright install chromium +``` + +Finally, each benchmark comes with its own specific setup that requires to follow additional steps. + - for MiniWoB++, see [miniwob/README.md](browsergym/miniwob/README.md) + - for WebArena, see [webarena/README.md](browsergym/webarena/README.md) + - for VisualWebArena, see [visualwebarena/README.md](browsergym/visualwebarena/README.md) + - for WorkArena, see [WorkArena](https://github.com/ServiceNow/WorkArena) + - for AssistantBench, see [assistantbench/README.md](browsergym/assistantbench/README.md) + +### 🏗️ Development setup + +To install browsergym locally for development, use the following commands: +```sh +git clone git@github.com:ServiceNow/BrowserGym.git +cd BrowserGym +make install +``` + +Contributions are welcome! 😊 + +## 🏋 Usage + +Boilerplate code to run an agent on an interactive, open-ended task: +```python +import gymnasium as gym +import browsergym.core # register the openended task as a gym environment + +# start an openended environment +env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": "https://www.google.com/"}, # starting URL + wait_for_user_message=True, # wait for a user message after each agent message sent to the chat +) +# run the environment <> agent loop until termination +obs, info = env.reset() +while True: + action = ... # implement your agent here + obs, reward, terminated, truncated, info = env.step(action) + if terminated or truncated: + break +# release the environment +env.close() +``` + +MiniWoB +```python +import gymnasium as gym +import browsergym.miniwob # register miniwob tasks as gym environments + +# start a miniwob task +env = gym.make("browsergym/miniwob.choose-list") +... + +# list all the available miniwob tasks +env_ids = [id for id in gym.envs.registry.keys() if id.startswith("browsergym/miniwob")] +print("\n".join(env_ids)) +``` + +WorkArena +```python +import gymnasium as gym +import browsergym.workarena # register workarena tasks as gym environments + +# start a workarena task +env = gym.make("browsergym/workarena.servicenow.order-ipad-pro") +... + +# list all the available workarena tasks +env_ids = [id for id in gym.envs.registry.keys() if id.startswith("browsergym/workarena")] +print("\n".join(env_ids)) +``` + +WebArena +```python +import gymnasium as gym +import browsergym.webarena # register webarena tasks as gym environments + +# start a webarena task +env = gym.make("browsergym/webarena.310") +... + +# list all the available webarena tasks +env_ids = [id for id in gym.envs.registry.keys() if id.startswith("browsergym/webarena")] +print("\n".join(env_ids)) +``` + +VisualWebArena +```python +import gymnasium as gym +import browsergym.webarena # register webarena tasks as gym environments + +# start a visualwebarena task +env = gym.make("browsergym/visualwebarena.721") +... + +# list all the available visualwebarena tasks +env_ids = [id for id in gym.envs.registry.keys() if id.startswith("browsergym/visualwebarena")] +print("\n".join(env_ids)) +``` + +AssistantBench +```python +import gymnasium as gym +import browsergym.workarena # register assistantbench tasks as gym environments + +# start an assistantbench task +env = gym.make("browsergym/assistantbench.validation.3") +... + +# list all the available assistantbench tasks +env_ids = [id for id in gym.envs.registry.keys() if id.startswith("browsergym/workarena")] +print("\n".join(env_ids)) +``` + +## 💻 Demo + +If you want to experiment with a demo agent in BrowserGym, follow these steps +```sh +# conda setup +conda env create -f demo_agent/environment.yml +conda activate demo_agent + +# or pip setup +pip install -r demo_agent/requirements.txt + +# then download the browser for playwright +playwright install chromium +``` + +Our demo agent uses `openai` as a backend, be sure to set your `OPENAI_API_KEY`. + +Launch the demo agent as follows +```sh +# openended (interactive chat mode) +python demo_agent/run_demo.py --task_name openended --start_url https://www.google.com + +# miniwob +python demo_agent/run_demo.py --task_name miniwob.click-test + +# workarena +python demo_agent/run_demo.py --task_name workarena.servicenow.order-standard-laptop + +# webarena +python demo_agent/run_demo.py --task_name webarena.4 + +# visualwebarena +python demo_agent/run_demo.py --task_name visualwebarena.398 +``` + +You can customize your experience by changing the `model_name` to your preferred LLM (it uses `gpt-4o-mini` by default), adding screenshots for your VLMs with `use_screenshot`, and much more! + +```python +python demo_agent/run_demo.py --help +``` + +## 🌐 Ecosystem + +- [AgentLab](https://github.com/ServiceNow/AgentLab): Seamlessly run agents on benchmarks, collect and analyse traces. +- [WorkArena(++)](https://github.com/ServiceNow/WorkArena): A benchmark for web agents on the ServiceNow platform. +- [WebArena](https://github.com/web-arena-x/webarena): A benchmark of realistic web tasks on self-hosted domains. +- [VisualWebArena](https://github.com/web-arena-x/visualwebarena): A benchmark of realistic visual web tasks on self-hosted domains. +- [MiniWoB(++)](https://miniwob.farama.org/): A collection of over 100 web tasks on synthetic web pages. +- [WebLINX](https://github.com/McGill-NLP/weblinx): A dataset of real-world web interaction traces. +- [AssistantBench](https://github.com/oriyor/assistantbench): A benchmark of realistic and time-consuming tasks on the open web. +- [DoomArena](https://github.com/ServiceNow/DoomArena): A framework for AI agent security testing which supports injecting attacks into web pages from Browsergym environments. + +## 🌟 Contributors + +[![BrowserGym contributors](https://contrib.rocks/image?repo=ServiceNow/BrowserGym&max=2000)](https://github.com/ServiceNow/BrowserGym/graphs/contributors) + +## 📝 Citing This Work + +Please use the following BibTeX to cite our work: +```tex +@inproceedings{workarena2024, + title = {{W}ork{A}rena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?}, + author = {Drouin, Alexandre and Gasse, Maxime and Caccia, Massimo and Laradji, Issam H. and Del Verme, Manuel and Marty, Tom and Vazquez, David and Chapados, Nicolas and Lacoste, Alexandre}, + booktitle = {Proceedings of the 41st International Conference on Machine Learning}, + pages = {11642--11662}, + year = {2024}, + editor = {Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix}, + volume = {235}, + series = {Proceedings of Machine Learning Research}, + month = {21--27 Jul}, + publisher = {PMLR}, + url = {https://proceedings.mlr.press/v235/drouin24a.html}, +} +``` diff --git a/BrowserGym/browsergym/assistantbench/README.md b/BrowserGym/browsergym/assistantbench/README.md new file mode 100644 index 0000000000000000000000000000000000000000..affd80aa6c8f0d02f1d3c41f6d2e77908cd46606 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/README.md @@ -0,0 +1,21 @@ +# AssistantBench <> BrowserGym + +This package provides an implementation for using the [AssistantBench](https://assistantbench.github.io/) benchmark in BrowserGym. + +Because AssistantBench includes open-ended tasks, setup is extremely easy and simply requires installing the package. + +Please note that AssistantBench has a hidden test set, so test set predictions will need to be uploaded to the official [leaderboard](https://huggingface.co/spaces/AssistantBench/leaderboard). + +## Setting up + +- Install the package (this is still a wip) +``` +pip install browsergym-assistantbench +``` + +- Run inference, e.g., run the following commands for demo on a simple toy task +``` +python demo_agent/run_demo.py --task_name assistantbench.validation.3 +``` + +- Test set predictions will be saved to `./assistantbench-predictions-test.jsonl`. To evaluate on the official test set, upload these predictions to the official [leaderboard](https://huggingface.co/spaces/AssistantBench/leaderboard). diff --git a/BrowserGym/browsergym/assistantbench/pyproject.toml b/BrowserGym/browsergym/assistantbench/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..39e45b938cea996fb9b3c419c2bc8fa92920af23 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/pyproject.toml @@ -0,0 +1,35 @@ +[build-system] +requires = ["hatchling", "hatch-requirements-txt"] +build-backend = "hatchling.build" + +[project] +name = "browsergym-assistantbench" +description = "AssistantBench benchmark for BrowserGym" +authors = [ + {name = "Ori Yoran"}, + {name = "Maxime Gasse"}, +] +readme = "README.md" +requires-python = ">3.7" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: Apache Software License", +] +dynamic = ["dependencies", "version"] + +[project.urls] +homepage = "https://github.com/ServiceNow/BrowserGym" + +[tool.hatch.version] +path = "../core/src/browsergym/core/__init__.py" + +[tool.hatch.metadata.hooks.requirements_txt] +files = ["requirements.txt"] + +[tool.hatch.build.targets.wheel] +packages = ["src/browsergym"] diff --git a/BrowserGym/browsergym/assistantbench/requirements.txt b/BrowserGym/browsergym/assistantbench/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..c432e0c15727b243fc1b951d9b85997854d56ea9 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/requirements.txt @@ -0,0 +1,4 @@ +browsergym-core==0.13.4 +datasets +scipy +numpy diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/__init__.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..333b3d22430ddeb6e94f9b3dd8f18ab34c7bc189 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/__init__.py @@ -0,0 +1,54 @@ +from browsergym.core.registration import register_task + +from . import task + +TOY_AB_TASK_IDS = [] +VALID_AB_TASK_IDS = [] +TEST_AB_TASK_IDS = [] + + +# register a toy easy task for testing implementation +gym_id = f"assistantbench.imp.0" +register_task( + gym_id, + task.AssistantBenchTask, + task_kwargs={ + "task_id": f"imp.0", + }, + default_task_kwargs={ + "save_predictions": False, # can be overriden + }, +) +TOY_AB_TASK_IDS.append(gym_id) + +# register the AssistantBench dev set +for task_id in range(33): + gym_id = f"assistantbench.validation.{task_id}" + register_task( + gym_id, + task.AssistantBenchTask, + task_kwargs={ + "task_id": f"validation.{task_id}", + }, + default_task_kwargs={ + "save_predictions": False, # can be overriden + }, + ) + VALID_AB_TASK_IDS.append(gym_id) + +# register the AssistantBench test set +for task_id in range(181): + gym_id = f"assistantbench.test.{task_id}" + register_task( + gym_id, + task.AssistantBenchTask, + task_kwargs={ + "task_id": f"test.{task_id}", + }, + default_task_kwargs={ + "save_predictions": True, # can be overriden + }, + ) + TEST_AB_TASK_IDS.append(gym_id) + +ALL_AB_TASK_IDS = TOY_AB_TASK_IDS + VALID_AB_TASK_IDS + TEST_AB_TASK_IDS diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_dicts.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_dicts.py new file mode 100644 index 0000000000000000000000000000000000000000..76136c06afa27a2c8e217182e61137e52939d4d5 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_dicts.py @@ -0,0 +1,68 @@ +from typing import Dict, List + +import numpy as np + +from .utils import _align_bags + + +def calculate_f1_score(precision, recall): + if precision + recall == 0: + return 0 # Handle the case to avoid division by zero + return 2 * (precision * recall) / (precision + recall) + + +def calc_recall(pred: Dict, gold: Dict, use_gold_for_eval: bool): + from .evaluate_factory import get_evaluator_from_gold_answer + + recall = [] + for gold_key, gold_value in gold.items(): + pred_value = pred.get(gold_key) + gold_value = fix_number(gold_value) + pred_value = fix_number(pred_value) + if gold_key not in pred: + recall.append(0) + else: + evaluator = ( + get_evaluator_from_gold_answer(type(gold_value)) + if use_gold_for_eval + else get_evaluator_from_gold_answer(type(pred_value)) + ) + if type(pred_value) != type(gold_value): + recall.append(0) + continue + recall.append(evaluator(pred_value, gold_value)) + avg_recall = np.average(recall) + return avg_recall + + +def fix_number(number): + + if type(number) == str: + copy_ans = number + copy_ans = " ".join( + " ".join(" ".join(copy_ans.split("$")).split("%")).split("sqft") + ).strip() + copy_ans = copy_ans.strip() + copy_ans = copy_ans.replace(",", ".") + try: + return float(copy_ans) + except: + return number + elif type(number) == int: + return float(number) + else: + return number + + +def evaluate_pair_of_dicts(pred: Dict, gold: Dict): + recall = calc_recall(pred, gold, True) + precision = calc_recall(gold, pred, False) + f1 = calculate_f1_score(precision, recall) + return f1 + + +def evaluate_dicts(pred: List[Dict], gold: List[Dict]): + if not (type(pred) == dict or len(pred) == 0 or (type(pred) == list and type(pred[0]) == dict)): + return 0 + max_alignment_scores = _align_bags(pred, gold, evaluate_pair_of_dicts) + return np.average(max_alignment_scores) diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_factory.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_factory.py new file mode 100644 index 0000000000000000000000000000000000000000..6ce2c5448ddc470994e6f0149cb15ae846b0417f --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_factory.py @@ -0,0 +1,28 @@ +from typing import Union + +from .evaluate_dicts import evaluate_dicts +from .evaluate_numbers import evaluate_numbers +from .evaluate_strings import evaluate_strings + +EvaluatorFactory = { + "string": evaluate_strings, + "number": evaluate_numbers, + "json": evaluate_dicts, + "string list": evaluate_strings, +} + +EvaluatorFactoryFromType = { + str: evaluate_strings, + int: evaluate_numbers, + float: evaluate_numbers, + bool: evaluate_strings, + list: evaluate_strings, +} + + +def get_evaluator(evaluator: str): + return EvaluatorFactory[evaluator] + + +def get_evaluator_from_gold_answer(gold_answer: Union[str, int, float]): + return EvaluatorFactoryFromType[gold_answer] diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_numbers.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_numbers.py new file mode 100644 index 0000000000000000000000000000000000000000..e043216b18b5fb56b012a5d0a173ef689c1b8a52 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_numbers.py @@ -0,0 +1,34 @@ +from typing import Union + +import numpy as np + + +# Renamed calc_z function to distance_function_log +def distance_function_log(pred: float, gold: float): + if pred == gold == 0: + return 1 + if pred == 0: + pred = 1e-4 + if gold == 0: + gold = 1e-4 + if pred > gold: + return max(0, 1 - np.log(pred / gold)) + else: + return max(0, 1 - np.log(gold / pred)) + + +def evaluate_numbers(pred: Union[float, str], gold: float): + res = None + if type(pred) != float and type(pred) != int: + try: + pred = float(pred) + except ValueError: + res = 0 + if type(gold) != float and type(gold) != int: + try: + gold = float(gold) + except ValueError: + res = 0 + if res is None: + res = distance_function_log(pred, gold) + return res diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_strings.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_strings.py new file mode 100644 index 0000000000000000000000000000000000000000..68b451e3f981eb92e5c1a8ac094789da3038b9be --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/evaluate_strings.py @@ -0,0 +1,174 @@ +""" +Evaluation for two strings or list of strings. +Code taken from the DROP benchmark - https://github.com/allenai/allennlp-reading-comprehension/blob/master/allennlp_rc/eval/drop_eval.py +""" + +import re +import string +from typing import List, Set, Tuple, Union + +import numpy as np +from scipy.optimize import linear_sum_assignment + + +# From here through _normalize_answer was originally copied from: +# https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/ +# Then cleaned up and modified a bit. +def _remove_articles(text: str) -> str: + regex = re.compile(r"\b(a|an|the)\b", re.UNICODE) + return re.sub(regex, " ", text) + + +def _white_space_fix(text: str) -> str: + return " ".join(text.split()) + + +EXCLUDE = set(string.punctuation) + + +def _remove_punc(text: str) -> str: + if not _is_number(text): + return "".join(ch for ch in text if ch not in EXCLUDE) + else: + return text + + +def _lower(text: str) -> str: + return text.lower() + + +def _tokenize(text: str) -> List[str]: + return re.split(" |-", text) + + +def _normalize_answer(text: str) -> str: + """Lower text and remove punctuation, articles and extra whitespace.""" + + parts = [ + _white_space_fix(_remove_articles(_normalize_number(_remove_punc(_lower(token))))) + for token in _tokenize(text) + ] + parts = [part for part in parts if part.strip()] + normalized = " ".join(parts).strip() + return normalized + + +def _is_number(text: str) -> bool: + try: + float(text) + return True + except ValueError: + return False + + +def _normalize_number(text: str) -> str: + if _is_number(text): + return str(float(text)) + else: + return text + + +def _answer_to_bags( + answer: Union[str, List[str], Tuple[str, ...]] +) -> Tuple[List[str], List[Set[str]]]: + if isinstance(answer, (list, tuple)): + raw_spans = answer + else: + raw_spans = [answer] + normalized_spans: List[str] = [] + token_bags = [] + for raw_span in raw_spans: + normalized_span = _normalize_answer(raw_span) + normalized_spans.append(normalized_span) + token_bags.append(set(normalized_span.split())) + return normalized_spans, token_bags + + +def _align_bags(predicted: List[Set[str]], gold: List[Set[str]]) -> List[float]: + """ + Takes gold and predicted answer sets and first finds the optimal 1-1 alignment + between them and gets maximum metric values over all the answers. + """ + scores = np.zeros([len(gold), len(predicted)]) + for gold_index, gold_item in enumerate(gold): + for pred_index, pred_item in enumerate(predicted): + if _match_numbers_if_present(gold_item, pred_item): + scores[gold_index, pred_index] = _compute_f1(pred_item, gold_item) + row_ind, col_ind = linear_sum_assignment(-scores) + + max_scores = np.zeros([max(len(gold), len(predicted))]) + for row, column in zip(row_ind, col_ind): + max_scores[row] = max(max_scores[row], scores[row, column]) + return max_scores + + +def _compute_f1(predicted_bag: Set[str], gold_bag: Set[str]) -> float: + intersection = len(gold_bag.intersection(predicted_bag)) + if not predicted_bag: + precision = 1.0 + else: + precision = intersection / float(len(predicted_bag)) + if not gold_bag: + recall = 1.0 + else: + recall = intersection / float(len(gold_bag)) + f1 = ( + (2 * precision * recall) / (precision + recall) + if not (precision == 0.0 and recall == 0.0) + else 0.0 + ) + return f1 + + +def _match_numbers_if_present(gold_bag: Set[str], predicted_bag: Set[str]) -> bool: + gold_numbers = set() + predicted_numbers = set() + for word in gold_bag: + if _is_number(word): + gold_numbers.add(word) + for word in predicted_bag: + if _is_number(word): + predicted_numbers.add(word) + if (not gold_numbers) or gold_numbers.intersection(predicted_numbers): + return True + return False + + +def get_metrics( + predicted: Union[str, List[str], Tuple[str, ...]], + gold: Union[str, List[str], Tuple[str, ...]], +) -> Tuple[float, float]: + """ + Takes a predicted answer and a gold answer (that are both either a string or a list of + strings), and returns exact match and the DROP F1 metric for the prediction. If you are + writing a script for evaluating objects in memory (say, the output of predictions during + validation, or while training), this is the function you want to call, after using + :func:`answer_json_to_strings` when reading the gold answer from the released data file. + """ + predicted_bags = _answer_to_bags(predicted) + gold_bags = _answer_to_bags(gold) + + if set(predicted_bags[0]) == set(gold_bags[0]) and len(predicted_bags[0]) == len(gold_bags[0]): + exact_match = 1.0 + else: + exact_match = 0.0 + + f1_per_bag = _align_bags(predicted_bags[1], gold_bags[1]) + f1 = np.mean(f1_per_bag) + f1 = round(f1, 2) + return exact_match, f1 + + +def evaluate_strings(prediction, gold): + if type(prediction) != list and type(prediction) != str: + prediction = str(prediction) + if type(gold) != list and type(gold) != str: + gold = str(gold) + try: + predicted_bags = _answer_to_bags(prediction) + gold_bags = _answer_to_bags(gold) + f1_per_bag = _align_bags(predicted_bags[1], gold_bags[1]) + f1 = np.mean(f1_per_bag) + except Exception: + f1 = 0.0 + return f1 diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/utils.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..82be9e4adc7121a866a642af3c2f463f2038fe94 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluate_utils/utils.py @@ -0,0 +1,25 @@ +from typing import Callable, List, Set + +import numpy as np +from scipy.optimize import linear_sum_assignment + + +def _align_bags( + predicted: List[Set[str]], + gold: List[Set[str]], + method: Callable[[object, object], float], +) -> List[float]: + """ + Takes gold and predicted answer sets and first finds the optimal 1-1 alignment + between them and gets maximum metric values over all the answers. + """ + scores = np.zeros([len(gold), len(predicted)]) + for gold_index, gold_item in enumerate(gold): + for pred_index, pred_item in enumerate(predicted): + scores[gold_index, pred_index] = method(pred_item, gold_item) + row_ind, col_ind = linear_sum_assignment(-scores) + + max_scores = np.zeros([max(len(gold), len(predicted))]) + for row, column in zip(row_ind, col_ind): + max_scores[row] = max(max_scores[row], scores[row, column]) + return max_scores diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluator.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluator.py new file mode 100644 index 0000000000000000000000000000000000000000..7910eadf8a3e3a2097144ad0fedec5ed2be0715c --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/evaluation/evaluator.py @@ -0,0 +1,132 @@ +# todo export evaluation to a python package + +import json + +import numpy as np + +from .evaluate_utils.evaluate_factory import get_evaluator + + +def find_isnan(samp): + try: + if np.isnan(samp): + return True + else: + return False + except: + return False + + +def fix_ans(answer): + try: + answer = ( + answer.replace("{'", '{"') + .replace("', '", '", "') + .replace("': '", '": "') + .replace("'}", '"}') + ) + answer = answer.replace("': ", '": ') + return answer + except: + return answer + + +def parse_answer(answer): + if len(answer) == 1: + ans, is_num = fix_number(answer[0]) + if is_num: + return ans, "number" + try: + ans = json.loads(fix_ans(answer[0])) + return [ans], "json" + except: + ans, is_num = fix_number(answer[0]) + if is_num: + return ans, "number" + else: + return answer[0], "string" + else: + try: + ans = [json.loads(fix_ans(ex)) for ex in answer] + return ans, "json" + except: + return answer, "string list" + + +def fix_number(number): + if type(number) == str: + copy_ans = number + copy_ans = " ".join( + " ".join(" ".join(copy_ans.split("$")).split("%")).split("sqft") + ).strip() + copy_ans = copy_ans.strip() + copy_ans = copy_ans.replace(",", ".").replace(" square kilometers", "") + try: + return float(copy_ans), True + except: + return number, False + elif type(number) == int: + return float(number), True + else: + return number, True + + +def fix_prediction(prediction, gold_answer, evaluator): + if ( + type(prediction) == list + and len(prediction) == 1 + and ( + type(prediction[0]) == int + or ((type(prediction[0]) == str) and prediction[0].isnumeric()) + ) + ): + prediction = fix_number(prediction[0]) + + if type(prediction) != list: + prediction, is_num = fix_number(prediction) + if evaluator == "json": + try: + prediction = [json.loads(pred) for pred in prediction.split("\n")] + except: + prediction = [prediction] + + if (hasattr(type(prediction), "__len__")) and (len(prediction) == 0): + return prediction, False + + if (type(prediction) == list and len(prediction) > 1) and type(gold_answer) == float: + return prediction, False + + return prediction, True + + +def question_scorer(prediction, gold_answer): + try: + prediction = json.loads(prediction) + except: + prediction = prediction + + answer_list = ( + [x for x in gold_answer.split("\n") if len(x.strip()) > 0] + if type(gold_answer) != list + else gold_answer + ) + gold_answer, evaluator = parse_answer(answer_list) + prediction, run_eval = fix_prediction(prediction, gold_answer, evaluator) + + has_ans = 1.0 + if (type(prediction) != float and len(prediction) == 0) or find_isnan(prediction): + has_ans = 0.0 + + if type(prediction) == list: + if all( + (type(pred) not in {float, int} and len(pred) == 0) or find_isnan(pred) + for pred in prediction + ): + has_ans = 0 + + if not run_eval: + return 0.0, has_ans + + metric_eval = get_evaluator(evaluator) + accuracy = metric_eval(prediction, gold_answer) + return accuracy, has_ans diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/task.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/task.py new file mode 100644 index 0000000000000000000000000000000000000000..e7789df5bd7335d4077138c4a06ae29c2c345e1e --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/task.py @@ -0,0 +1,142 @@ +import logging +import os +from typing import Dict, Tuple + +from datasets import load_dataset +from playwright.sync_api import Page + +from browsergym.core.task import AbstractBrowserTask + +from .evaluation.evaluator import question_scorer +from .utils import add_prediction_to_jsonl + +logger = logging.getLogger(__name__) + +_DEFAULT_OUTPUT_FILE = None + + +def set_default_output_file(output_file: str): + global _DEFAULT_OUTPUT_FILE + _DEFAULT_OUTPUT_FILE = output_file + + +def get_default_output_file(): + return _DEFAULT_OUTPUT_FILE + + +# Load dataset + +DATA_DATASET = "AssistantBench/AssistantBench" +all_tasks = load_dataset(DATA_DATASET, trust_remote_code=True) + + +# Extract answers and tasks for validation and test splits +def extract_data(split_name: str) -> Tuple[Dict[str, str], Dict[str, str], Dict[str, str]]: + return ( + { + f"{split_name}.{i}": row["answer"] if row["answer"] is not None else "" + for i, row in enumerate(all_tasks[split_name]) + }, + {f"{split_name}.{i}": row["task"] for i, row in enumerate(all_tasks[split_name])}, + {f"{split_name}.{i}": row["id"] for i, row in enumerate(all_tasks[split_name])}, + ) + + +# Implementation data for testing +def get_implementation_testing_data() -> Tuple[Dict[str, str], Dict[str, str], Dict[str, str]]: + return ( + {"imp.0": "20"}, + { + "imp.0": "What is the weather in Paris yesterday in Celsius? Answer with the number only." + }, + {"imp.0": "test_imp_id_0"}, + ) + + +# Combine dev, test, and implementation-specific testing splits +gold_answers_dev, tasks_dev, ids_dev = extract_data("validation") +gold_answers_test, tasks_test, ids_test = extract_data("test") +gold_answers_impl_testing, tasks_test_impl_testing, ids_imp_testing = ( + get_implementation_testing_data() +) +gold_answers = {**gold_answers_dev, **gold_answers_test, **gold_answers_impl_testing} +tasks = {**tasks_dev, **tasks_test, **tasks_test_impl_testing} +ids = {**ids_dev, **ids_test, **ids_imp_testing} + + +class AssistantBenchTask(AbstractBrowserTask): + + @classmethod + def get_task_id(cls) -> str: + """ + Generic class for several task ids, this way of obtaining the task id is not compatible for now. + """ + raise NotImplementedError + + def __init__( + self, seed: int, task_id: str, output_file: str = None, save_predictions: bool = False + ) -> None: + """ + Args: + seed (int): Random seed for task initialization. + task_id (str): Unique identifier for the task (for the BrowserGym environment). + output_file (str, optional): Path to the output file for saving results, needed for test set. + save_predictions (bool, optional): Save predictions to the output file (yes/no). + """ + super().__init__(seed) + self.locale = "en-US" + self.timezone_id = "America/New_York" + + self.task_id = task_id + self.start_url = "https://google.com" + self.goal = tasks[str(self.task_id)] + self.gold = gold_answers[str(self.task_id)] + self.ab_task_id = ids[self.task_id] + self.save_predictions = save_predictions + + self.output_file = output_file + + # set output_file using the global default value, if not provided in constructor + if not self.output_file: + self.output_file = get_default_output_file() + # use env variable in last resort + if not self.output_file: + self.output_file = os.getenv("ASSISTANTBENCH_OUTPUT_FILE", None) + + if self.save_predictions and self.output_file: + logger.info(f"Task prediction will be written to output file {self.output_file}") + + def setup(self, page: Page) -> Tuple[str, dict]: + logger.info(f"Navigating to start url: {self.start_url}") + page.goto(self.start_url, timeout=50000) + if self.save_predictions and self.output_file: + # create an empty task entry in the output file (will raise an Exception if the entry is already there) + add_prediction_to_jsonl( + file_path=self.output_file, + task_id=self.ab_task_id, + prediction="", + override_if_exists=False, + ) + return self.goal, {} + + def teardown(self) -> None: + pass + + def validate(self, page: Page, chat_messages: list[dict]) -> Tuple[float, bool, str, dict]: + accuracy, done, msg, info = 0.0, False, "", {} + + # eval when the agent returns a response + if chat_messages and chat_messages[-1]["role"] == "assistant": + done = True + prediction = chat_messages[-1]["message"] + if self.save_predictions and self.output_file: + # update the task entry in the output file + add_prediction_to_jsonl( + file_path=self.output_file, + task_id=self.ab_task_id, + prediction=prediction, + override_if_exists=True, + ) + accuracy, has_ans = question_scorer(prediction, self.gold) + + return accuracy, done, msg, info diff --git a/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/utils.py b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..74c8198cba28edc54d09ac2bf792187ecacd8e17 --- /dev/null +++ b/BrowserGym/browsergym/assistantbench/src/browsergym/assistantbench/utils.py @@ -0,0 +1,73 @@ +import json +import logging +import os +import pathlib +import time + +logger = logging.getLogger(__name__) + + +def add_prediction_to_jsonl( + file_path: str, task_id: str, prediction: object, override_if_exists: bool +) -> None: + """ + Multiprocessing-safe file write. + """ + lock_file_path = pathlib.Path(file_path).with_suffix(".lock") + lock_max_wait = 10 # 10 seconds + + # Acquire lock (atomic file creation) + start_time = time.time() + while True: + try: + fd = os.open(lock_file_path, os.O_CREAT | os.O_EXCL | os.O_WRONLY) + with os.fdopen(fd, "w") as f: + f.write("lock") + break + except FileExistsError: + # give up if max wait time reached + seconds_waited = time.time() - start_time + if seconds_waited >= lock_max_wait: + raise RuntimeError( + f"Lock file could not be acquired after {seconds_waited} seconds ({lock_file_path})" + ) + # wait for lock release + logger.info(f"Waiting for lock file to be released: {lock_file_path}") + time.sleep(1) # 1 sec + + logger.info(f"Lock file acquired: {lock_file_path}") + + # Check if the file exists, if not, create it + if not os.path.exists(file_path): + with open(file_path, "w") as f: + pass # Create an empty file + + # Load existing data, if any + data = [] + if os.path.exists(file_path): + with open(file_path, "r") as f: + data.extend([json.loads(line) for line in f if line.strip()]) # Skip empty lines + + # Check if task_id already exists + existing_record = next((entry for entry in data if entry["id"] == task_id), None) + + # Add or update the record + if not existing_record: + # Add new record + data.append({"id": task_id, "answer": prediction}) + elif override_if_exists: + # Update existing record + existing_record["answer"] = prediction + else: + raise ValueError( + f"Prediction for task ID {repr(task_id)} already exists in file {file_path}." + ) + + # Write data back to the file + with open(file_path, "w") as f: + for entry in data: + f.write(json.dumps(entry) + "\n") + + # Release lock (remove file) + os.remove(lock_file_path) + logger.info(f"Lock file released: {lock_file_path}") diff --git a/BrowserGym/browsergym/browsergym.egg-info/PKG-INFO b/BrowserGym/browsergym/browsergym.egg-info/PKG-INFO new file mode 100644 index 0000000000000000000000000000000000000000..b5232ec10893f958362c04540dd85679441ddfa6 --- /dev/null +++ b/BrowserGym/browsergym/browsergym.egg-info/PKG-INFO @@ -0,0 +1,22 @@ +Metadata-Version: 2.4 +Name: browsergym +Version: 0.13.4 +Summary: BrowserGym: a gym environment for web task automation in the Chromium browser +Author: Rim Assouel, Léo Boisvert, Massimo Caccia, Alex Drouin, Maxime Gasse, Imene Kerboua, Alex Lacoste, Thibault Le Sellier De Chezelles, Tom Marty, Aman Jaiswal +License: Apache-2.0 +Classifier: Development Status :: 3 - Alpha +Classifier: Programming Language :: Python :: 3 +Classifier: Operating System :: OS Independent +Classifier: Intended Audience :: Science/Research +Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence +Classifier: License :: OSI Approved :: Apache Software License +Requires-Python: >3.10 +Description-Content-Type: text/markdown +Requires-Dist: browsergym-core==0.13.4 +Requires-Dist: browsergym-miniwob==0.13.4 +Requires-Dist: browsergym-webarena==0.13.4 +Requires-Dist: browsergym-visualwebarena==0.13.4 +Requires-Dist: browsergym-assistantbench==0.13.4 +Requires-Dist: browsergym-experiments==0.13.4 +Requires-Dist: browsergym-workarena>=0.4.1 +Requires-Dist: weblinx-browsergym>=0.0.2 diff --git a/BrowserGym/browsergym/browsergym.egg-info/SOURCES.txt b/BrowserGym/browsergym/browsergym.egg-info/SOURCES.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a1959829995e91d796e4e636baa7df08324d88b --- /dev/null +++ b/BrowserGym/browsergym/browsergym.egg-info/SOURCES.txt @@ -0,0 +1,6 @@ +pyproject.toml +browsergym.egg-info/PKG-INFO +browsergym.egg-info/SOURCES.txt +browsergym.egg-info/dependency_links.txt +browsergym.egg-info/requires.txt +browsergym.egg-info/top_level.txt \ No newline at end of file diff --git a/BrowserGym/browsergym/browsergym.egg-info/dependency_links.txt b/BrowserGym/browsergym/browsergym.egg-info/dependency_links.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/BrowserGym/browsergym/browsergym.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/BrowserGym/browsergym/browsergym.egg-info/requires.txt b/BrowserGym/browsergym/browsergym.egg-info/requires.txt new file mode 100644 index 0000000000000000000000000000000000000000..397e6ed00eb2e3ba721add7562967fe6b9f5d6a6 --- /dev/null +++ b/BrowserGym/browsergym/browsergym.egg-info/requires.txt @@ -0,0 +1,8 @@ +browsergym-core==0.13.4 +browsergym-miniwob==0.13.4 +browsergym-webarena==0.13.4 +browsergym-visualwebarena==0.13.4 +browsergym-assistantbench==0.13.4 +browsergym-experiments==0.13.4 +browsergym-workarena>=0.4.1 +weblinx-browsergym>=0.0.2 diff --git a/BrowserGym/browsergym/browsergym.egg-info/top_level.txt b/BrowserGym/browsergym/browsergym.egg-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/BrowserGym/browsergym/browsergym.egg-info/top_level.txt @@ -0,0 +1 @@ + diff --git a/BrowserGym/browsergym/core/README.md b/BrowserGym/browsergym/core/README.md new file mode 100644 index 0000000000000000000000000000000000000000..102f55a7a9415f631055a620688a31212665adb2 --- /dev/null +++ b/BrowserGym/browsergym/core/README.md @@ -0,0 +1,10 @@ +# BrowserGym core + +This package provides `browsergym.core`, which provides the core functionalities of [BrowserGym](https://github.com/ServiceNow/BrowserGym). + +## Setup + +1. Install the package +```sh +pip install browsergym-core +``` diff --git a/BrowserGym/browsergym/core/pyproject.toml b/BrowserGym/browsergym/core/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..d315f2afd72b56f5ad208e030e25f91b8099b9d5 --- /dev/null +++ b/BrowserGym/browsergym/core/pyproject.toml @@ -0,0 +1,42 @@ +[build-system] +requires = ["hatchling", "hatch-requirements-txt"] +build-backend = "hatchling.build" + +[project] +name = "browsergym-core" +description = "BrowserGym: a gym environment for web task automation in the Chromium browser" +authors = [ + {name = "Rim Assouel"}, + {name = "Léo Boisvert"}, + {name = "Massimo Caccia"}, + {name = "Alex Drouin"}, + {name = "Maxime Gasse"}, + {name = "Imene Kerboua"}, + {name = "Alex Lacoste"}, + {name = "Thibault Le Sellier De Chezelles"}, + {name = "Tom Marty"}, +] +readme = "README.md" +requires-python = ">3.9" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: Apache Software License", +] +dynamic = ["dependencies", "version"] + +[project.urls] +homepage = "https://github.com/ServiceNow/BrowserGym" + +[tool.hatch.version] +path = "src/browsergym/core/__init__.py" + +[tool.hatch.metadata.hooks.requirements_txt] +files = ["requirements.txt"] + +[tool.hatch.build.targets.wheel] +packages = ["src/browsergym"] diff --git a/BrowserGym/browsergym/core/requirements.txt b/BrowserGym/browsergym/core/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..80c4b9819a1ce8b50b1eee1535f842c2cef825e9 --- /dev/null +++ b/BrowserGym/browsergym/core/requirements.txt @@ -0,0 +1,8 @@ +playwright==1.44 +gymnasium>=0.27 +numpy>=1.14 +pyparsing>=3 +Pillow>=10.1 +beautifulsoup4>=4.12 +lxml>=4.9 +mcp[cli]>=1.6.0 diff --git a/BrowserGym/browsergym/core/src/browsergym/core/__init__.py b/BrowserGym/browsergym/core/src/browsergym/core/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e9ba517f2c9c7aafe4f6b7042a986f1e4f015a23 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/__init__.py @@ -0,0 +1,27 @@ +__version__ = "0.13.4" + +import playwright.sync_api + +# we use a global playwright instance +_PLAYWRIGHT = None + + +def _set_global_playwright(pw: playwright.sync_api.Playwright): + global _PLAYWRIGHT + _PLAYWRIGHT = pw + + +def _get_global_playwright(): + global _PLAYWRIGHT + if not _PLAYWRIGHT: + pw = playwright.sync_api.sync_playwright().start() + _set_global_playwright(pw) + + return _PLAYWRIGHT + + +# register the open-ended task +from .registration import register_task +from .task import OpenEndedTask + +register_task(OpenEndedTask.get_task_id(), OpenEndedTask) diff --git 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ABC, abstractmethod + +import playwright.sync_api + +from . import get_global_demo_mode + + +class AbstractActionSet(ABC): + def __init__(self, strict: bool = False): + self.strict = strict + + @abstractmethod + def describe(self, with_long_description: bool = True, with_examples: bool = True) -> str: + """ + Returns a textual description of this action space. + """ + + @abstractmethod + def example_action(self, abstract: bool) -> str: + """ + Returns an example action as a string. + """ + + @abstractmethod + def to_python_code(self, action) -> str: + """ + Converts the given action to browsergym-compatible python code. + + Args: + action: the action to convert. + + Returns: + Executable python code that performs the action in a browsergym environment. + """ + + +def execute_python_code( + code: str, + page: playwright.sync_api.Page, + send_message_to_user: callable, + report_infeasible_instructions: callable, +): + """ + Executes Python code in a new context, except for a playwright `page` object and a `send_message_to_user` function. + + WARNING: this is not safe! + https://stackoverflow.com/questions/77655440/can-you-protect-a-python-variable-with-exec + + Args: + code: the Python code to execute, as a string. + page: the playwright page that will be made accessible to the code. + send_message_to_user: utility function that will be made accessible to the code. It should take one text argument. + report_infeasible_instructions: utility function that will be made accessible to the code. It should take one text argument. + """ + + globals = { + "page": page, + "send_message_to_user": send_message_to_user, + "report_infeasible_instructions": report_infeasible_instructions, + "DEMO_MODE": get_global_demo_mode(), + } + + exec(code, globals) diff --git a/BrowserGym/browsergym/core/src/browsergym/core/action/functions.py b/BrowserGym/browsergym/core/src/browsergym/core/action/functions.py new file mode 100644 index 0000000000000000000000000000000000000000..bb31db9aceefa96b228bd0f9fd5dde8134d7f81d --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/action/functions.py @@ -0,0 +1,624 @@ +# these are placeholders +# all these symbols will be available in browsergym actions +from typing import Literal + +import playwright.sync_api + +from .utils import ( + add_demo_mode_effects, + call_fun, + get_elem_by_bid, + highlight_by_box, + smooth_move_visual_cursor_to, +) + +page: playwright.sync_api.Page = None +send_message_to_user: callable = None +report_infeasible_instructions: callable = None +demo_mode: Literal["off", "default", "all_blue", "only_visible_elements"] = None +retry_with_force: bool = False + +"""IMPORTANT +The following primitives are meant to be included in the browsergym action using +inspect.getsource(). +""" + + +def send_msg_to_user(text: str): + """ + Sends a message to the user. + + Examples: + send_msg_to_user("Based on the results of my search, the city was built in 1751.") + """ + send_message_to_user(text) + + +def report_infeasible(reason: str): + """ + Notifies the user that their instructions are infeasible. + + Examples: + report_infeasible("I cannot follow these instructions because there is no email field in this form.") + """ + report_infeasible_instructions(reason) + + +def noop(wait_ms: float = 1000): + """ + Do nothing, and optionally wait for the given time (in milliseconds). + + Examples: + noop() + noop(500) + """ + page.wait_for_timeout(wait_ms) + + +# https://playwright.dev/docs/input#text-input +def fill(bid: str, value: str): + """ + Fill out a form field. It focuses the element and triggers an input event with the entered text. + It works for , + + + + + + + + + + diff --git a/BrowserGym/browsergym/core/src/browsergym/core/chat_files/chatbox_modern.html b/BrowserGym/browsergym/core/src/browsergym/core/chat_files/chatbox_modern.html new file mode 100644 index 0000000000000000000000000000000000000000..5c8d8e5a9e49dda7759feac46e6952ae87c828f4 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/chat_files/chatbox_modern.html @@ -0,0 +1,379 @@ + + + + + + + UI Assistant Chat + + + + +
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+
+
+ + + + + + diff --git a/BrowserGym/browsergym/core/src/browsergym/core/chat_files/img/send.svg b/BrowserGym/browsergym/core/src/browsergym/core/chat_files/img/send.svg new file mode 100644 index 0000000000000000000000000000000000000000..7d5705f5b8d5fcaee4ee3369bd226e050ec258fb --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/chat_files/img/send.svg @@ -0,0 +1,3 @@ + + + diff --git a/BrowserGym/browsergym/core/src/browsergym/core/constants.py b/BrowserGym/browsergym/core/src/browsergym/core/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..8591e104ae1f043dcb04a005550bed8e36a3d0c7 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/constants.py @@ -0,0 +1,5 @@ +BROWSERGYM_ID_ATTRIBUTE = "bid" # Playwright's default is "data-testid" +BROWSERGYM_VISIBILITY_ATTRIBUTE = "browsergym_visibility_ratio" +BROWSERGYM_SETOFMARKS_ATTRIBUTE = "browsergym_set_of_marks" + +EXTRACT_OBS_MAX_TRIES = 5 diff --git a/BrowserGym/browsergym/core/src/browsergym/core/env.py b/BrowserGym/browsergym/core/src/browsergym/core/env.py new file mode 100644 index 0000000000000000000000000000000000000000..50b949944bdddc2480c9c76de2e2cc98cd0670b6 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/env.py @@ -0,0 +1,628 @@ +import copy +import logging +import re +import time +from abc import ABC +from pathlib import Path +from typing import Any, Callable, Literal, Optional + +import gymnasium as gym +import numpy as np +import playwright.sync_api + +from . import _get_global_playwright +from .action.base import execute_python_code +from .action.highlevel import HighLevelActionSet +from .chat import Chat +from .constants import BROWSERGYM_ID_ATTRIBUTE, EXTRACT_OBS_MAX_TRIES +from .observation import ( + MarkingError, + _post_extract, + _pre_extract, + extract_dom_extra_properties, + extract_dom_snapshot, + extract_focused_element_bid, + extract_merged_axtree, + extract_screenshot, +) +from .spaces import AnyBox, AnyDict, Float, Unicode +from .task import AbstractBrowserTask +from ..utils.obs import overlay_som, flatten_axtree_to_str + +logger = logging.getLogger(__name__) + + +def _try_to_extract_legacy_goal(goal: list): + legacy_goal_strings = [] + for message in goal: + if message["type"] == "text": + legacy_goal_strings.append(message["text"]) + else: + logger.debug( + f"Message type {repr(message['type'])} present in the goal, cannot be converted to legacy text-only format." + ) + legacy_goal_strings.append( + 'WARNING: This goal cannot be converted to a text-only goal format. Use the new goal format instead ("goal_object" field). Any agent reading this should abort immediately.' + ) + break + legacy_goal = "\n".join(legacy_goal_strings) + + return legacy_goal + + +class BrowserEnv(gym.Env, ABC): + """The main BrowserGym class, which encapsulates instruction-following Web browsing into a Gymnasium environment.""" + + # gym metadata + metadata = {"render_modes": None} + + def __init__( + self, + # task-related arguments + task_entrypoint: type[AbstractBrowserTask], + task_kwargs: dict = {}, + viewport: Optional[dict] = None, # will override the task's viewport + slow_mo: Optional[int] = None, # will override the task's slow_mo + timeout: Optional[int] = None, # will override the task's timeout + locale: Optional[str] = None, # will override the task's locale + timezone_id: Optional[str] = None, # will override the task's timezone_id + tags_to_mark: Literal["all", "standard_html"] = "standard_html", + # interactive / debugging arguments + headless: bool = True, + wait_for_user_message: bool = False, + terminate_on_infeasible: bool = True, + resizeable_window: bool = False, + record_video_dir: Optional[str] = None, + pw_chromium_kwargs: dict = {}, + pw_context_kwargs: dict = {}, + # agent-related arguments + action_mapping: Optional[callable] = HighLevelActionSet().to_python_code, + ): + """ + Instantiate a ready to use BrowserEnv gym environment. + + Args: + task_entrypoint: a callable that returns a new task object from a seed. Used for creating a new task during `reset()`. + task_kwargs: additional arguments passed to `task_entrypoint`. + viewport: desired viewport size. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. + slow_mo: desired slow_mo value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. + timeout: desired timeout value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. + locale: desired user locale for Playwright, for example en-GB, de-DE, etc. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. + timezone_id. desired timezone for Playwright, for example "Pacific/Tahiti". This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. + tags_to_mark: which HTML tags should be marked by BrowserGym and receive a bid. Value "all" will mark every element in the page, while "standard_html" (default) will only mark standard html tags. + headless: whether the browser should run in headless mode or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Headless mode should only be disabled for debugging/testing. + wait_for_user_message: whether the environment should pause and wait for a user message in the chat after a new message is sent by the agent. Useful for running agents in interactive mode. + resizeable_window: whether the browser window should be resizeable or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Should only be set for debugging/testing. + record_video_dir: if set, indicates a directory to which viewport videos will be recorded. + pw_chromium_kwargs: extra parameters for the playwright Browser. Should only be used for debugging/testing. + pw_context_kwargs: extra parameters for the playwright BrowserContext. Should only be used for debugging/testing. + action_mapping: if set, the environment will use this function to map every received action to executable Python code. + + """ + super().__init__() + self.task_entrypoint = task_entrypoint + self.task_kwargs = dict(**task_kwargs) + self.viewport = viewport + self.slow_mo = slow_mo + self.timeout = timeout + self.locale = locale + self.timezone_id = timezone_id + self.tags_to_mark = tags_to_mark + self.headless = headless + self.wait_for_user_message = wait_for_user_message + self.terminate_on_infeasible = terminate_on_infeasible + self.resizeable_window = resizeable_window + self.record_video_dir = record_video_dir + self.pw_chromium_kwargs = pw_chromium_kwargs + self.pw_context_kwargs = pw_context_kwargs + self.action_mapping = action_mapping + + # check argument values + assert tags_to_mark in ("all", "standard_html") + + # task + self.task = None + + # playwright + self.browser: playwright.sync_api.Browser = None + self.context: playwright.sync_api.BrowserContext = None + self.page: playwright.sync_api.Page = None + self.page_history: dict = {} + + # chat + self.chat: Chat = None + + # observation space + self.observation_space = gym.spaces.Dict( + { + "chat_messages": gym.spaces.Sequence( + gym.spaces.Dict( + { + "role": Unicode(), + "timestamp": Float(), + "message": Unicode(), + } + ) + ), + "goal": Unicode(), + "goal_object": gym.spaces.Sequence(AnyDict()), + "open_pages_urls": gym.spaces.Sequence(Unicode()), + "open_pages_titles": gym.spaces.Sequence(Unicode()), + "active_page_index": gym.spaces.Box( + low=0, high=255, dtype=int + ), # TODO: change to an Integer (breaking change for users) + "url": Unicode(), + "screenshot": AnyBox( + low=0, + high=255, + shape=(-1, -1, 3), + dtype=np.uint8, + ), # swapped axes (height, width, RGB) + "dom_object": AnyDict(), + "axtree_object": AnyDict(), + "extra_element_properties": AnyDict(), + "focused_element_bid": Unicode(), + "last_action": Unicode(), + "last_action_error": Unicode(), + "elapsed_time": gym.spaces.Box( + low=0, high=np.inf, dtype=float + ), # TODO: change to a Float (breaking change for users) + } + ) + + # action space + self.action_space = Unicode() + + def close(self): + # stop the task + if self.task: + self.task.teardown() + self.task = None + # close the chat + if self.chat: + self.chat.close() + self.chat = None + # close the browser context + if self.context: + self.context.close() + self.context = None + # close the browser + if self.browser: + self.browser.close() + self.browser = None + + def reset(self, seed=None, *args, **kwargs): + super().reset(seed=seed, *args, **kwargs) + self.np_random = None # make sure all randomness is handled by the task + + if self.task: + self.task.teardown() + self.context.close() + self.chat.close() + self.browser.close() + + # create a new task + self.task = self.task_entrypoint(seed=seed, **self.task_kwargs) + + def override_property(task, env, property): + """Extract property value from env if not None, otherwise from task.""" + env_value = getattr(env, property) + task_value = getattr(task, property) + if env_value is None: + return task_value + else: + if task_value is not None: + logger.warning( + f"Overriding the task's {property} parameter ({repr(task_value)} => {repr(env_value)}). This might change the task's behaviour and difficulty." + ) + return env_value + + # fetch task's desired parameters for browser setup + viewport = override_property(self.task, self, "viewport") + slow_mo = override_property(self.task, self, "slow_mo") + timeout = override_property(self.task, self, "timeout") + locale = override_property(self.task, self, "locale") + timezone_id = override_property(self.task, self, "timezone_id") + + # use the global Playwright instance + pw: playwright.sync_api.Playwright = _get_global_playwright() + # important: change playwright's test id attribute from "data-testid" to "bid" + pw.selectors.set_test_id_attribute(BROWSERGYM_ID_ATTRIBUTE) + + # create a new browser + self.browser = pw.chromium.launch( + headless=self.headless, + slow_mo=slow_mo, + args=( + [f"--window-size={viewport['width']},{viewport['height']}"] + if self.resizeable_window + else None + ), + # will raise an Exception if above args are overriden + **self.pw_chromium_kwargs, + ) + + # create a new browser context for pages + self.context = self.browser.new_context( + no_viewport=True if self.resizeable_window else None, + viewport=viewport if not self.resizeable_window else None, + record_video_dir=( + Path(self.record_video_dir) / "task_video" if self.record_video_dir else None + ), + record_video_size=viewport, + locale=locale, + timezone_id=timezone_id, + # will raise an Exception if above args are overriden + **self.pw_context_kwargs, + ) + + # set default timeout + self.context.set_default_timeout(timeout) + + # hack: keep track of the active page with a javascript callback + # there is no concept of active page in playwright + # https://github.com/microsoft/playwright/issues/2603 + self.context.expose_binding( + "browsergym_page_activated", lambda source: self._activate_page_from_js(source["page"]) + ) + self.context.add_init_script( + r""" +window.browsergym_page_activated(); +window.addEventListener("focus", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("focusin", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("load", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("pageshow", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("mousemove", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("mouseup", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("mousedown", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("wheel", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("keyup", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("keydown", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("input", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("touchstart", () => {window.browsergym_page_activated();}, {capture: true}); +window.addEventListener("touchend", () => {window.browsergym_page_activated();}, {capture: true}); +document.addEventListener("visibilitychange", () => { + if (document.visibilityState === "visible") { + window.browsergym_page_activated(); + } +}, {capture: true}); +""" + ) + + # create the chat + self.chat = Chat( + headless=self.headless, + chat_size=(500, max(viewport["height"], 800)), + record_video_dir=self.record_video_dir, + ) + + # create a new page + self.page = self.context.new_page() + recording_start_time = time.time() + + # setup the task + task_goal, task_info = self.task.setup(page=self.page) + + # process the task goal + + # no goal specified + if task_goal is None: + self.goal_object = [] + # convert text-only goal (legacy) to new format + elif isinstance(task_goal, str): + self.goal_object = [{"type": "text", "text": task_goal}] + # new format goal with multiple texts and images (OpenAI style) + elif isinstance(task_goal, list): + self.goal_object = task_goal + else: + raise ValueError(f"task_goal should be of type str or list, got {task_goal.__class__}") + + # initialize the chat + self.chat.add_message( + role="assistant", + msg="Hi! I am your UI assistant, I can perform web tasks for you. What can I help you with?", + ) + + # send task goal (if any) to the chat + for message in self.goal_object: + match message["type"]: + case "text": + self.chat.add_message(role="user", msg=message["text"]) + case "image_url": + image_src = message["image_url"] + if isinstance(image_src, dict): + image_src = image_src["url"] + self.chat.add_message(role="user_image", msg=image_src) + case _: + raise ValueError( + f"Unknown message type {repr(message['type'])} in the task goal." + ) + + self._wait_dom_loaded() + + # after the task's setup, the active page might have changed + # perform a safety check + self._active_page_check() + + # init start time + self.start_time = time.time() + + # no action yet + self.last_action = "" + self.last_action_error = "" + self.infeasible_message_received = False + + # if asked, wait for user message + self._wait_for_user_message() + + # extract obs and info from environment + obs = self._get_obs() + + info = {} + info["task_info"] = task_info + + # TODO this is a bit hacky, find a better solution to record videos + if self.record_video_dir: + info["recording_start_time"] = recording_start_time + info["recording_file"] = str(self.page.video.path()) + info["chat"] = { + "recording_start_time": self.chat.recording_start_time, + "recording_file": str(self.chat.page.video.path()), + } + + return obs, info + + def pre_step(self) -> tuple[dict[str, Any], Callable, Callable]: + info = {} + info["action_exec_start"] = time.time() + info["action_exec_timeout"] = 0 + + def send_message_to_user(text: str): + if not isinstance(text, str): + raise ValueError(f"Forbidden value: {text} is not a string") + self.chat.add_message(role="assistant", msg=text) + + def report_infeasible_instructions(reason: str): + if not isinstance(reason, str): + raise ValueError(f"Forbidden value: {reason} is not a string") + self.chat.add_message(role="infeasible", msg=reason) + self.infeasible_message_received = True + + # try to execute the action + logger.debug("Executing action") + return info, send_message_to_user, report_infeasible_instructions + + def step(self, action: str) -> tuple[dict[str, Any], float, bool, bool, dict[str, Any]]: + """ + Execute the action in the environment. + + Args: + action: the action to execute. This should be a string with code or a function call + + Returns: + obs: the observation after executing the action + reward: the reward received after executing the action + terminated: whether the episode is terminated or not + truncated: whether the episode is truncated or not + info: additional information about the step + """ + self.last_action = action + info, send_message_to_user, report_infeasible_instructions = self.pre_step() + try: + if self.action_mapping: + code = self.action_mapping(action) + else: + code = action + execute_python_code( + code, + self.page, + send_message_to_user=send_message_to_user, + report_infeasible_instructions=report_infeasible_instructions, + ) + self.last_action_error = "" + except Exception as e: + self.last_action_error = f"{type(e).__name__}: {e}" + match = re.match("TimeoutError: Timeout ([0-9]+)ms exceeded.", self.last_action_error) + if match: + info["action_exec_timeout"] = float(match.groups()[0]) / 1000 # ms to sec + return self.post_step(info) + + def post_step( + self, info: dict[str, Any], validate: bool = True + ) -> tuple[dict[str, Any], float, bool, bool, dict[str, Any]]: + """ + Post step method, called after executing the action. + This method is responsible for extracting the observation after the action. + It also prepares reward, task status, user message and other step info. + Args: + info: dictionary containing information about the step + Returns: + obs: the observation after executing the action + reward: the reward received after executing the action + terminated: whether the episode is terminated or not + truncated: whether the episode is truncated or not + info: additional information about the step + """ + logger.debug("Action executed") + info["action_exec_stop"] = time.time() + + # wait a bit (for the JavaScript callback to set the active page) + time.sleep(0.5) # wait for JS events to be fired (half a second) + self.context.cookies() # trigger all waiting Playwright callbacks on the stack (hack, see https://playwright.dev/java/docs/multithreading) + + # wait for the network to idle before extracting the observation, reward etc. + self._wait_dom_loaded() + + if validate: + # after the action is executed, the active page might have changed + # perform a safety check + self._active_page_check() + logger.debug("Active page checked") + + # if asked, wait for user message + self._wait_for_user_message() + logger.debug("User message done") + + logger.debug("Initiating task validation") + # extract reward, done, user_message, info (task-specific) + reward, done, user_message, task_info = self._task_validate() + info["task_info"] = task_info + logger.debug("Task validation done") + else: + reward = 0 + done = False + user_message = None + info["task_info"] = {} + logger.debug("Task validation skipped") + + # add any user message sent by the task to the chat + if user_message: + self.chat.add_message(role="user", msg=user_message) + + # extract observation (generic) + obs = self._get_obs() + logger.debug("Observation extracted") + + # new step API wants a 5-tuple (gymnasium) + terminated = done or ( + self.terminate_on_infeasible and self.infeasible_message_received + ) # task or agent can terminate the episode + truncated: bool = False + return obs, reward, terminated, truncated, info + + def _task_validate(self): + # back-up these in case validate() navigates pages and messes the history + prev_active_page = self.page + prev_page_history = self.page_history.copy() + # call validate + reward, done, user_message, info = self.task.validate(self.page, self.chat.messages) + + # safety fix, in case validate() did mess up the active page and/or page history + if prev_active_page != self.page or prev_page_history != self.page_history: + logger.debug( + "The active page and / or page history has changed during task.validate(). A recovery fix will be applied." + ) + self.page = prev_active_page + self.page_history = prev_page_history + + return reward, done, user_message, info + + def _wait_for_user_message(self): + # if last message is from the assistant, wait for a user message to continue + # TODO: be smarter about when to wait for a user message (different action from the assistant?) + if self.chat.messages[-1]["role"] == "assistant" and self.wait_for_user_message: + self.chat.wait_for_user_message() + + def _wait_dom_loaded(self): + for page in self.context.pages: + try: + page.wait_for_load_state("domcontentloaded", timeout=3000) + except playwright.sync_api.Error: + pass + for frame in page.frames: + try: + frame.wait_for_load_state("domcontentloaded", timeout=3000) + except playwright.sync_api.Error: + pass + + def _activate_page_from_js(self, page: playwright.sync_api.Page): + logger.debug(f"_activate_page_from_js(page) called, page={str(page)}") + if not page.context == self.context: + raise RuntimeError( + f"Unexpected: activating a page that belongs to a different browser context ({page})." + ) + + # add the activated page to the page history (or move it to last which is the most recent) + if page in self.page_history: + self.page_history[page] = self.page_history.pop( + page + ) # move page to the end of dictionnary + else: + self.page_history[page] = None # add page to the end of dictionnary + + self.page = page + + def _active_page_check(self): + # make sure there is always a page open + # if all pages have been closed, create a new page + if len(self.context.pages) == 0: + logger.warning("All pages are closed, opening a new page.") + self.page = self.context.new_page() + + # if the active page got closed, get the last active page from the history + while self.page_history and (self.page.is_closed() or self.page not in self.context.pages): + self.page_history.pop(self.page) # remove active page from history + self.page = list(self.page_history.keys())[ + -1 + ] # set last active page as the active page (most recent) + + # active page should share the same browser context with the environment + if self.page not in self.context.pages: + raise RuntimeError( + f"Unexpected: active page is not part of the browser context's open pages ({self.page})." + ) + + # active page should not be closed + if self.page.is_closed(): + raise RuntimeError(f"Unexpected: active page has been closed ({self.page}).") + + def _get_obs(self): + + for retries_left in reversed(range(EXTRACT_OBS_MAX_TRIES)): + try: + # pre-extraction, mark dom elements (set bid, set dynamic attributes like value and checked) + _pre_extract(self.page, tags_to_mark=self.tags_to_mark, lenient=(retries_left == 0)) + + dom = extract_dom_snapshot(self.page) + axtree = extract_merged_axtree(self.page) + focused_element_bid = extract_focused_element_bid(self.page) + extra_properties = extract_dom_extra_properties(dom) + except (playwright.sync_api.Error, MarkingError) as e: + err_msg = str(e) + # try to add robustness to async events (detached / deleted frames) + if retries_left > 0 and ( + "Frame was detached" in err_msg + or "Frame with the given frameId is not found" in err_msg + or "Execution context was destroyed" in err_msg + or "Frame has been detached" in err_msg + or "Cannot mark a child frame without a bid" in err_msg + or "Cannot read properties of undefined" in err_msg + ): + logger.warning( + f"An error occurred while extracting the dom and axtree. Retrying ({retries_left}/{EXTRACT_OBS_MAX_TRIES} tries left).\n{repr(e)}" + ) + # post-extract cleanup (ARIA attributes) + _post_extract(self.page) + time.sleep(0.5) + continue + else: + raise e + break + + # post-extraction cleanup of temporary info in dom + _post_extract(self.page) + + # obs is generic to all tasks + screenshot_np_array = extract_screenshot(self.page) + som_screenshot_np_array = overlay_som(screenshot_np_array, extra_properties) + obs = { + "chat_messages": tuple(copy.deepcopy(self.chat.messages)), + "goal": _try_to_extract_legacy_goal(self.goal_object), # legacy goal, deprecated + "goal_object": tuple( + copy.deepcopy(self.goal_object) + ), # new goal format, list of messages openai style + "open_pages_urls": tuple(page.url for page in self.context.pages), + "open_pages_titles": tuple(page.title() for page in self.context.pages), + "active_page_index": np.asarray([self.context.pages.index(self.page)]), + "url": self.page.url, # redundant with "open_pages_urls" and "active_page_index" + "som_screenshot": som_screenshot_np_array, + "dom_object": dom, + "axtree_object": axtree, + "extra_element_properties": extra_properties, + "focused_element_bid": focused_element_bid, + "last_action": self.last_action, + "last_action_error": self.last_action_error, + "elapsed_time": np.asarray([time.time() - self.start_time]), + } + + return obs diff --git a/BrowserGym/browsergym/core/src/browsergym/core/javascript/frame_mark_elements.js b/BrowserGym/browsergym/core/src/browsergym/core/javascript/frame_mark_elements.js new file mode 100644 index 0000000000000000000000000000000000000000..04017365d2f09c4d6d2bde9ce2575a0403d296c0 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/javascript/frame_mark_elements.js @@ -0,0 +1,295 @@ +/** + * Go through all DOM elements in the frame (including shadowDOMs), give them unique browsergym + * identifiers (bid), and store custom data in ARIA attributes. + */ +async ([parent_bid, bid_attr_name, tags_to_mark]) => { + + // standard html tags + // https://www.w3schools.com/tags/ + const html_tags = new Set([ + "a", "abbr", "acronym", "address", "applet", "area", "article", "aside", "audio", + "b", "base", "basefont", "bdi", "bdo", "big", "blockquote", "body", "br", "button", + "canvas", "caption", "center", "cite", "code", "col", "colgroup", "data", "datalist", + "dd", "del", "details", "dfn", "dialog", "dir", "div", "dl", "dt", "em", "embed", + "fieldset", "figcaption", "figure", "font", "footer", "form", "frame", "frameset", + "h1", "h2", "h3", "h4", "h5", "h6", "head", "header", "hgroup", "hr", "html", "i", + "iframe", "img", "input", "ins", "kbd", "label", "legend", "li", "link", "main", + "map", "mark", "menu", "meta", "meter", "nav", "noframes", "noscript", "object", + "ol", "optgroup", "option", "output", "p", "param", "picture", "pre", "progress", + "q", "rp", "rt", "ruby", "s", "samp", "script", "search", "section", "select", + "small", "source", "span", "strike", "strong", "style", "sub", "summary", "sup", + "svg", "table", "tbody", "td", "template", "textarea", "tfoot", "th", "thead", + "time", "title", "tr", "track", "tt", "u", "ul", "var", "video", "wbr" + ]); + const set_of_marks_tags = new Set([ + "input", "textarea", "select", "button", "a", "iframe", "video", "li", "td", "option" + ]); + + let browsergym_first_visit = false; + // if no yet set, set the frame (local) element counter to 0 + if (!("browsergym_elem_counter" in window)) { + window.browsergym_elem_counter = 0; + window.browsergym_frame_id_generator = new IFrameIdGenerator(); + browsergym_first_visit = true; + } + // mechanism for computing all element's visibility + // the intersection observer will set the visibility ratio of elements entering / exiting the viewport + // a set is used to keep track of not-yet-visited elements + let elems_to_be_visited = new Set(); + let intersection_observer = new IntersectionObserver( + entries => { + entries.forEach(entry => { + let elem = entry.target; + elem.setAttribute('browsergym_visibility_ratio', Math.round(entry.intersectionRatio * 100) / 100); + if (elems_to_be_visited.has(elem)) { + elems_to_be_visited.delete(elem); + } + }) + }, + { + threshold: [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] + } + ) + + let all_bids = new Set(); + + // get all DOM elements in the current frame (does not include elements in shadowDOMs) + let elements = Array.from(document.querySelectorAll('*')); + let som_buttons = []; + i = 0; + while (i < elements.length) { + const elem = elements[i]; + // add shadowDOM elements to the elements array, in such a way that order is preserved + // TODO: do we really need the order preserved? + if (elem.shadowRoot !== null) { + elements = new Array( + ...Array.prototype.slice.call(elements, 0, i + 1), + ...Array.from(elem.shadowRoot.querySelectorAll("*")), + ...Array.prototype.slice.call(elements, i + 1) + ); + } + i++; + // decide if the current element should be marked or not + switch (tags_to_mark) { + // mark all elements + case "all": + break; + // mark only standard HTML tags + case "standard_html": + if (!elem.tagName || !html_tags.has(elem.tagName.toLowerCase())) { + // continue the loop, i.e., move on to the next element + continue; + } + break; + // non-recognized argument + default: + throw new Error(`Invalid value for parameter \"tags_to_mark\": ${JSON.stringify(tags_to_mark)}`); + } + // Processing element + // register intersection callback on element, and keep track of element for waiting later + elem.setAttribute('browsergym_visibility_ratio', 0); + elems_to_be_visited.add(elem); + intersection_observer.observe(elem); + // write dynamic element values to the DOM + if (typeof elem.value !== 'undefined') { + elem.setAttribute("value", elem.value); + } + // write dynamic checked properties to the DOM + if (typeof elem.checked !== 'undefined') { + if (elem.checked === true) { + elem.setAttribute("checked", ""); + } + else { + elem.removeAttribute("checked"); + } + } + // add the element global id (browsergym id) to a custom HTML attribute + // https://playwright.dev/docs/locators#locate-by-test-id + // recover the element id if it has one already, else compute a new element id + let elem_global_bid = null; + if (elem.hasAttribute(bid_attr_name)) { + // throw an error if the attribute is already set while this is the first visit of the page + if (browsergym_first_visit) { + throw new Error(`Attribute ${bid_attr_name} already used in element ${elem.outerHTML}`); + } + elem_global_bid = elem.getAttribute(bid_attr_name); + // if the bid has already been encountered, then this is a duplicate and a new bid should be set + if (all_bids.has(elem_global_bid)) { + console.log(`BrowserGym: duplicate bid ${elem_global_bid} detected, generating a new one`); + elem_global_bid = null; + } + } + if (elem_global_bid === null) { + let elem_local_id = null; + // iFrames get alphabetical ids: 'a', 'b', ..., 'z', 'aA', 'aB' etc. + if (['iframe', 'frame'].includes(elem.tagName.toLowerCase())) { + elem_local_id = `${window.browsergym_frame_id_generator.next()}`; + } + // other elements get numerical ids: '0', '1', '2', ... + else { + elem_local_id = `${window.browsergym_elem_counter++}`; + } + if (parent_bid == "") { + elem_global_bid = `${elem_local_id}`; + } + else { + elem_global_bid = `${parent_bid}${elem_local_id}`; + } + elem.setAttribute(bid_attr_name, `${elem_global_bid}`); + } + all_bids.add(elem_global_bid); + + // Hack: store custom data inside ARIA attributes (will be available in DOM and AXTree) + // - elem_global_bid: global element identifier (unique over multiple frames) + // TODO: add more data if needed (x, y coordinates, bounding box, is_visible, is_clickable etc.) + push_bid_to_attribute(elem_global_bid, elem, "aria-roledescription"); + push_bid_to_attribute(elem_global_bid, elem, "aria-description"); // fallback for generic nodes + + // set-of-marks flag (He et al. 2024) + // https://github.com/MinorJerry/WebVoyager/blob/main/utils.py + elem.setAttribute("browsergym_set_of_marks", "0"); + // click at center activates self or a child + if (["self", "child"].includes(whoCapturesCenterClick(elem))) { + // has valid tag name, or has click event, or triggers a pointer cursor + if (set_of_marks_tags.has(elem.tagName.toLowerCase()) || (elem.onclick != null) || (window.getComputedStyle(elem).cursor == "pointer")) { + let rect = elem.getBoundingClientRect(); + let area = (rect.right - rect.left) * (rect.bottom - rect.top); + // area is large enough + if (area >= 20) { + // is not a child of a button (role, type, tag) set to be marked + if (som_buttons.every(button => !button.contains(elem))) { + // is not the sole child of span that has a role and is set to be marked + let parent = elem.parentElement; + if (!(parent && parent.tagName.toLowerCase() == "span" && parent.children.length === 1 && parent.getAttribute("role") && parent.getAttribute("browsergym_set_of_marks") === "1")) { + // all checks have passed, flag the element for inclusion in set-of-marks + elem.setAttribute("browsergym_set_of_marks", "1"); + if (elem.matches('button, a, input[type="button"], div[role="button"]')) { + som_buttons.push(elem) + } + // lastly, remove the set-of-marks flag from all parents, if any + while (parent) { + if (parent.getAttribute("browsergym_set_of_marks") === "1") { + parent.setAttribute("browsergym_set_of_marks", "0") + } + parent = parent.parentElement; + } + } + } + } + } + } + } + + warning_msgs = new Array(); + + // wait for all elements to be visited for visibility + let visibility_marking_timeout = 1000; // ms + try { + await until(() => elems_to_be_visited.size == 0, visibility_marking_timeout); + } catch { + warning_msgs.push(`Frame marking: not all elements have been visited by the intersection_observer after ${visibility_marking_timeout} ms`); + } + // disconnect intersection observer + intersection_observer.disconnect(); + + return warning_msgs; +} + +async function until(f, timeout, interval=40) { + return new Promise((resolve, reject) => { + const start_time = Date.now(); + // immediate check + if (f()) { + resolve(); + } + // loop check + const wait = setInterval(() => { + if (f()) { + clearInterval(wait); + resolve(); + } else if (Date.now() - start_time > timeout) { + clearInterval(wait); + reject(); + } + }, interval); + }); +} + + +function whoCapturesCenterClick(element){ + var rect = element.getBoundingClientRect(); + var x = (rect.left + rect.right) / 2 ; + var y = (rect.top + rect.bottom) / 2 ; + var element_at_center = elementFromPoint(x, y); // return the element in the foreground at position (x,y) + if (!element_at_center) { + return "nobody"; + } else if (element_at_center === element) { + return "self"; + } else if (element.contains(element_at_center)) { + return "child"; + } else { + return "non-descendant"; + } +} + +function push_bid_to_attribute(bid, elem, attr){ + let original_content = ""; + if (elem.hasAttribute(attr)) { + original_content = elem.getAttribute(attr); + } + let new_content = `browsergym_id_${bid} ${original_content}` + elem.setAttribute(attr, new_content); +} + +function elementFromPoint(x, y) { + let dom = document; + let last_elem = null; + let elem = null; + + do { + last_elem = elem; + elem = dom.elementFromPoint(x, y); + dom = elem?.shadowRoot; + } while(dom && elem !== last_elem); + + return elem; +} + +// https://stackoverflow.com/questions/12504042/what-is-a-method-that-can-be-used-to-increment-letters#answer-12504061 +class IFrameIdGenerator { + constructor(chars = 'abcdefghijklmnopqrstuvwxyz') { + this._chars = chars; + this._nextId = [0]; + } + + next() { + const r = []; + for (let i = 0; i < this._nextId.length; i++) { + let char = this._chars[this._nextId[i]]; + // all but first character must be upper-cased (a, aA, bCD) + if (i < this._nextId.length - 1) { + char = char.toUpperCase(); + } + r.unshift(char); + } + this._increment(); + return r.join(''); + } + + _increment() { + for (let i = 0; i < this._nextId.length; i++) { + const val = ++this._nextId[i]; + if (val < this._chars.length) { + return; + } + this._nextId[i] = 0; + } + this._nextId.push(0); + } + + *[Symbol.iterator]() { + while (true) { + yield this.next(); + } + } + } diff --git a/BrowserGym/browsergym/core/src/browsergym/core/javascript/frame_unmark_elements.js b/BrowserGym/browsergym/core/src/browsergym/core/javascript/frame_unmark_elements.js new file mode 100644 index 0000000000000000000000000000000000000000..4ea14d80a79ec3640f99815dcf438af2a43315bc --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/javascript/frame_unmark_elements.js @@ -0,0 +1,40 @@ +/** + * Go through all DOM elements in the frame (including shadowDOMs), + * and cleanup previously stored data in ARIA attributes. + */ +() => { + // get all DOM elements in the current frame (does not include elements in shadowDOMs) + let elements = Array.from(document.querySelectorAll('*')); + let i = 0; + while (i < elements.length) { + const elem = elements[i]; + // add shadowDOM elements to the elements array, in such a way that order is preserved + // TODO: do we really need the order preserved? + if (elem.shadowRoot !== null) { + elements = new Array( + ...Array.prototype.slice.call(elements, 0, i + 1), + ...Array.from(elem.shadowRoot.querySelectorAll("*")), + ...Array.prototype.slice.call(elements, i + 1) + ); + } + i++; + // Hack: remove custom data stored in ARIA attributes + // - elem_global_id: global browsergym identifier + pop_bid_from_attribute(elem, "aria-description"); + pop_bid_from_attribute(elem, "aria-roledescription"); // fallback for generic nodes + } +} + +function pop_bid_from_attribute(elem, attr) { + let bid_regex = /^browsergym_id[^\s]*\s/; + if (elem.hasAttribute(attr)) { + let content = elem.getAttribute(attr); + let original_content = content.replace(bid_regex, ''); + if (original_content) { + elem.setAttribute(attr, original_content); + } + else { + elem.removeAttribute(attr); + } + } +} diff --git a/BrowserGym/browsergym/core/src/browsergym/core/observation.py b/BrowserGym/browsergym/core/src/browsergym/core/observation.py new file mode 100644 index 0000000000000000000000000000000000000000..e36ebadc26e54a807664e0e28cbf15ee24fcb953 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/observation.py @@ -0,0 +1,575 @@ +import base64 +import io +import logging +import pkgutil +import re +from typing import Literal + +import numpy as np +import PIL.Image +import playwright.sync_api + +from .constants import BROWSERGYM_ID_ATTRIBUTE as BID_ATTR +from .constants import BROWSERGYM_SETOFMARKS_ATTRIBUTE as SOM_ATTR +from .constants import BROWSERGYM_VISIBILITY_ATTRIBUTE as VIS_ATTR + +MARK_FRAMES_MAX_TRIES = 3 + + +logger = logging.getLogger(__name__) + + +class MarkingError(Exception): + pass + + +def _pre_extract( + page: playwright.sync_api.Page, + tags_to_mark: Literal["all", "standard_html"] = "standard_html", + lenient: bool = False, +): + """ + pre-extraction routine, marks dom elements (set bid and dynamic attributes like value and checked) + """ + js_frame_mark_elements = pkgutil.get_data(__name__, "javascript/frame_mark_elements.js").decode( + "utf-8" + ) + + # we can't run this loop in JS due to Same-Origin Policy + # (can't access the content of an iframe from a another one) + def mark_frames_recursive(frame, frame_bid: str): + assert frame_bid == "" or re.match(r"^[a-z][a-zA-Z]*$", frame_bid) + logger.debug(f"Marking frame {repr(frame_bid)}") + + # mark all DOM elements in the frame (it will use the parent frame element's bid as a prefix) + warning_msgs = frame.evaluate( + js_frame_mark_elements, + [frame_bid, BID_ATTR, tags_to_mark], + ) + # print warning messages if any + for msg in warning_msgs: + logger.warning(msg) + + # recursively mark all descendant frames + for child_frame in frame.child_frames: + # deal with detached frames + if child_frame.is_detached(): + continue + # deal with weird frames (pdf viewer in ) + child_frame_elem = child_frame.frame_element() + if not child_frame_elem.content_frame() == child_frame: + logger.warning( + f"Skipping frame '{child_frame.name}' for marking, seems problematic." + ) + continue + # deal with sandboxed frames with blocked script execution + sandbox_attr = child_frame_elem.get_attribute("sandbox") + if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): + continue + child_frame_bid = child_frame_elem.get_attribute(BID_ATTR) + if child_frame_bid is None: + if lenient: + logger.warning("Cannot mark a child frame without a bid. Skipping frame.") + continue + else: + raise MarkingError("Cannot mark a child frame without a bid.") + mark_frames_recursive(child_frame, frame_bid=child_frame_bid) + + # mark all frames recursively + mark_frames_recursive(page.main_frame, frame_bid="") + + +def _post_extract(page: playwright.sync_api.Page): + js_frame_unmark_elements = pkgutil.get_data( + __name__, "javascript/frame_unmark_elements.js" + ).decode("utf-8") + + # we can't run this loop in JS due to Same-Origin Policy + # (can't access the content of an iframe from a another one) + for frame in page.frames: + try: + if not frame == page.main_frame: + # deal with weird frames (pdf viewer in ) + if not frame.frame_element().content_frame() == frame: + logger.warning( + f"Skipping frame '{frame.name}' for unmarking, seems problematic." + ) + continue + # deal with sandboxed frames with blocked script execution + sandbox_attr = frame.frame_element().get_attribute("sandbox") + if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): + continue + # deal with frames without a BID + bid = frame.frame_element().get_attribute(BID_ATTR) + if bid is None: + continue + + frame.evaluate(js_frame_unmark_elements) + except playwright.sync_api.Error as e: + if any(msg in str(e) for msg in ("Frame was detached", "Frame has been detached")): + pass + else: + raise e + + +def extract_screenshot(page: playwright.sync_api.Page): + """ + Extracts the screenshot image of a Playwright page using Chrome DevTools Protocol. + + Args: + page: the playwright page of which to extract the screenshot. + + Returns: + A screenshot of the page, in the form of a 3D array (height, width, rgb). + + """ + + cdp = page.context.new_cdp_session(page) + cdp_answer = cdp.send( + "Page.captureScreenshot", + { + "format": "png", + }, + ) + cdp.detach() + + # bytes of a png file + png_base64 = cdp_answer["data"] + png_bytes = base64.b64decode(png_base64) + with io.BytesIO(png_bytes) as f: + # load png as a PIL image + img = PIL.Image.open(f) + # convert to RGB (3 channels) + img = img.convert(mode="RGB") + # convert to a numpy array + img = np.array(img) + + return img + + +# we could handle more data items here if needed +__BID_EXPR = r"([a-zA-Z0-9]+)" +__DATA_REGEXP = re.compile(r"^browsergym_id_" + __BID_EXPR + r"\s?" + r"(.*)") + + +def extract_data_items_from_aria(string: str, log_level: int = logging.NOTSET): + """ + Utility function to extract temporary data stored in the ARIA attributes of a node + """ + + match = __DATA_REGEXP.fullmatch(string) + if not match: + logger.log( + level=log_level, + msg=f"Failed to extract BrowserGym data from ARIA string: {repr(string)}", + ) + return [], string + + groups = match.groups() + data_items = groups[:-1] + original_aria = groups[-1] + return data_items, original_aria + + +def extract_dom_snapshot( + page: playwright.sync_api.Page, + computed_styles=[], + include_dom_rects: bool = True, + include_paint_order: bool = True, + temp_data_cleanup: bool = True, +): + """ + Extracts the DOM snapshot of a Playwright page using Chrome DevTools Protocol. + + Args: + page: the playwright page of which to extract the screenshot. + computed_styles: whitelist of computed styles to return. + include_dom_rects: whether to include DOM rectangles (offsetRects, clientRects, scrollRects) in the snapshot. + include_paint_order: whether to include paint orders in the snapshot. + temp_data_cleanup: whether to clean up the temporary data stored in the ARIA attributes. + + Returns: + A document snapshot, including the full DOM tree of the root node (including iframes, + template contents, and imported documents) in a flattened array, as well as layout + and white-listed computed style information for the nodes. Shadow DOM in the returned + DOM tree is flattened. + + """ + cdp = page.context.new_cdp_session(page) + dom_snapshot = cdp.send( + "DOMSnapshot.captureSnapshot", + { + "computedStyles": computed_styles, + "includeDOMRects": include_dom_rects, + "includePaintOrder": include_paint_order, + }, + ) + cdp.detach() + + # if requested, remove temporary data stored in the ARIA attributes of each node + if temp_data_cleanup: + pop_bids_from_attribute(dom_snapshot, "aria-roledescription") + pop_bids_from_attribute(dom_snapshot, "aria-description") + + return dom_snapshot + + +def pop_bids_from_attribute(dom_snapshot, attr: str): + try: + target_attr_name_id = dom_snapshot["strings"].index(attr) + except ValueError: + target_attr_name_id = -1 + # run the cleanup only if the target attribute string is present + if target_attr_name_id > -1: + processed_string_ids = set() + for document in dom_snapshot["documents"]: + for node_attributes in document["nodes"]["attributes"]: + i = 0 + # find the target attribute, if any + for i in range(0, len(node_attributes), 2): + attr_name_id = node_attributes[i] + attr_value_id = node_attributes[i + 1] + if attr_name_id == target_attr_name_id: + attr_value = dom_snapshot["strings"][attr_value_id] + # remove any data stored in the target attribute + if attr_value_id not in processed_string_ids: + _, new_attr_value = extract_data_items_from_aria(attr_value) + dom_snapshot["strings"][ + attr_value_id + ] = new_attr_value # update the string in the metadata + processed_string_ids.add( + attr_value_id + ) # mark string as processed (in case several nodes share the same target attribute string value) + attr_value = new_attr_value + # remove target attribute (name and value) if empty + if attr_value == "": + del node_attributes[i : i + 2] + # once target attribute is found, exit the search + break + + +def extract_dom_extra_properties(dom_snapshot): + def to_string(idx): + if idx == -1: + return None + else: + return dom_snapshot["strings"][idx] + + # pre-locate important string ids + try: + bid_string_id = dom_snapshot["strings"].index(BID_ATTR) + except ValueError: + bid_string_id = -1 + try: + vis_string_id = dom_snapshot["strings"].index(VIS_ATTR) + except ValueError: + vis_string_id = -1 + try: + som_string_id = dom_snapshot["strings"].index(SOM_ATTR) + except ValueError: + som_string_id = -1 + + # build the iframe tree (DFS from the first frame) + doc_properties = { + 0: { + "parent": None, + } + } + + docs_to_process = [0] + while docs_to_process: + doc = docs_to_process.pop(-1) # DFS + + children = dom_snapshot["documents"][doc]["nodes"]["contentDocumentIndex"] + for node, child_doc in zip(children["index"], children["value"]): + doc_properties[child_doc] = { + "parent": { + "doc": doc, # parent frame index + "node": node, # node index within the parent frame + } + } + docs_to_process.append(child_doc) + + # recover the absolute x and y position of the frame node in the parent (if any) + parent = doc_properties[doc]["parent"] + if parent: + parent_doc = parent["doc"] + parent_node = parent["node"] + try: + node_layout_idx = dom_snapshot["documents"][parent_doc]["layout"][ + "nodeIndex" + ].index(parent_node) + except ValueError: + node_layout_idx = -1 + if node_layout_idx >= 0: + node_bounds = dom_snapshot["documents"][parent_doc]["layout"]["bounds"][ + node_layout_idx + ] # can be empty? + # absolute position of parent + relative position of frame node within parent + parent_node_abs_x = doc_properties[parent_doc]["abs_pos"]["x"] + node_bounds[0] + parent_node_abs_y = doc_properties[parent_doc]["abs_pos"]["y"] + node_bounds[1] + else: + parent_node_abs_x = 0 + parent_node_abs_y = 0 + else: + parent_node_abs_x = 0 + parent_node_abs_y = 0 + + # get the frame's absolute position, by adding any scrolling offset if any + doc_properties[doc]["abs_pos"] = { + "x": parent_node_abs_x - dom_snapshot["documents"][doc]["scrollOffsetX"], + "y": parent_node_abs_y - dom_snapshot["documents"][doc]["scrollOffsetY"], + } + + document = dom_snapshot["documents"][doc] + doc_properties[doc]["nodes"] = [ + { + "bid": None, # default value, to be filled (str) + "visibility": None, # default value, to be filled (float) + "bbox": None, # default value, to be filled (list) + "clickable": False, # default value, to be filled (bool) + "set_of_marks": None, # default value, to be filled (bool) + } + for _ in enumerate(document["nodes"]["parentIndex"]) + ] # all nodes in document + + # extract clickable property + for node_idx in document["nodes"]["isClickable"]["index"]: + doc_properties[doc]["nodes"][node_idx]["clickable"] = True + + # extract bid and visibility properties (attribute-based) + for node_idx, node_attrs in enumerate(document["nodes"]["attributes"]): + i = 0 + # loop over all attributes + for i in range(0, len(node_attrs), 2): + name_string_id = node_attrs[i] + value_string_id = node_attrs[i + 1] + if name_string_id == bid_string_id: + doc_properties[doc]["nodes"][node_idx]["bid"] = to_string(value_string_id) + if name_string_id == vis_string_id: + doc_properties[doc]["nodes"][node_idx]["visibility"] = float( + to_string(value_string_id) + ) + if name_string_id == som_string_id: + doc_properties[doc]["nodes"][node_idx]["set_of_marks"] = ( + to_string(value_string_id) == "1" + ) + + # extract bbox property (in absolute coordinates) + for node_idx, bounds, client_rect in zip( + document["layout"]["nodeIndex"], + document["layout"]["bounds"], + document["layout"]["clientRects"], + ): + # empty clientRect means element is not actually rendered + if not client_rect: + doc_properties[doc]["nodes"][node_idx]["bbox"] = None + else: + # bounds gives the relative position within the document + doc_properties[doc]["nodes"][node_idx]["bbox"] = bounds.copy() + # adjust for absolute document position + doc_properties[doc]["nodes"][node_idx]["bbox"][0] += doc_properties[doc]["abs_pos"][ + "x" + ] + doc_properties[doc]["nodes"][node_idx]["bbox"][1] += doc_properties[doc]["abs_pos"][ + "y" + ] + + # Note: other interesting fields + # document["nodes"]["parentIndex"] # parent node + # document["nodes"]["nodeType"] + # document["nodes"]["nodeName"] + # document["nodes"]["nodeValue"] + # document["nodes"]["textValue"] + # document["nodes"]["inputValue"] + # document["nodes"]["inputChecked"] + # document["nodes"]["optionSelected"] + # document["nodes"]["pseudoType"] + # document["nodes"]["pseudoIdentifier"] + # document["nodes"]["isClickable"] + # document["textBoxes"] + # document["layout"]["nodeIndex"] + # document["layout"]["bounds"] + # document["layout"]["offsetRects"] + # document["layout"]["scrollRects"] + # document["layout"]["clientRects"] + # document["layout"]["paintOrders"] + + # collect the extra properties of all nodes with a browsergym_id attribute + extra_properties = {} + for doc in doc_properties.keys(): + for node in doc_properties[doc]["nodes"]: + bid = node["bid"] + if bid: + if bid in extra_properties: + logger.warning(f"duplicate {BID_ATTR}={repr(bid)} attribute detected") + extra_properties[bid] = { + extra_prop: node[extra_prop] + for extra_prop in ("visibility", "bbox", "clickable", "set_of_marks") + } + + return extra_properties + + +def extract_all_frame_axtrees(page: playwright.sync_api.Page): + """ + Extracts the AXTree of all frames (main document and iframes) of a Playwright page using Chrome DevTools Protocol. + + Args: + page: the playwright page of which to extract the frame AXTrees. + + Returns: + A dictionnary of AXTrees (as returned by Chrome DevTools Protocol) indexed by frame IDs. + + """ + cdp = page.context.new_cdp_session(page) + + # extract the frame tree + frame_tree = cdp.send( + "Page.getFrameTree", + {}, + ) + + # extract all frame IDs into a list + # (breadth-first-search through the frame tree) + frame_ids = [] + root_frame = frame_tree["frameTree"] + frames_to_process = [root_frame] + while frames_to_process: + frame = frames_to_process.pop() + frames_to_process.extend(frame.get("childFrames", [])) + # extract the frame ID + frame_id = frame["frame"]["id"] + frame_ids.append(frame_id) + + # extract the AXTree of each frame + frame_axtrees = { + frame_id: cdp.send( + "Accessibility.getFullAXTree", + {"frameId": frame_id}, + ) + for frame_id in frame_ids + } + + cdp.detach() + + # extract browsergym data from ARIA attributes + for ax_tree in frame_axtrees.values(): + for node in ax_tree["nodes"]: + data_items = [] + # look for data in the node's "roledescription" property + if "properties" in node: + for i, prop in enumerate(node["properties"]): + if prop["name"] == "roledescription": + data_items, new_value = extract_data_items_from_aria(prop["value"]["value"]) + prop["value"]["value"] = new_value + # remove the "description" property if empty + if new_value == "": + del node["properties"][i] + break + # look for data in the node's "description" (fallback plan) + if "description" in node: + data_items_bis, new_value = extract_data_items_from_aria( + node["description"]["value"] + ) + node["description"]["value"] = new_value + if new_value == "": + del node["description"] + if not data_items: + data_items = data_items_bis + # add the extracted "browsergym" data to the AXTree + if data_items: + (browsergym_id,) = data_items + node["browsergym_id"] = browsergym_id + return frame_axtrees + + +def extract_merged_axtree(page: playwright.sync_api.Page): + """ + Extracts the merged AXTree of a Playwright page (main document and iframes AXTrees merged) using Chrome DevTools Protocol. + + Args: + page: the playwright page of which to extract the merged AXTree. + + Returns: + A merged AXTree (same format as those returned by Chrome DevTools Protocol). + + """ + frame_axtrees = extract_all_frame_axtrees(page) + + cdp = page.context.new_cdp_session(page) + + # merge all AXTrees into one + merged_axtree = {"nodes": []} + for ax_tree in frame_axtrees.values(): + merged_axtree["nodes"].extend(ax_tree["nodes"]) + # connect each iframe node to the corresponding AXTree root node + for node in ax_tree["nodes"]: + if node["role"]["value"] == "Iframe": + frame_id = ( + cdp.send("DOM.describeNode", {"backendNodeId": node["backendDOMNodeId"]}) + .get("node", {}) + .get("frameId", None) + ) + if not frame_id: + logger.warning( + f"AXTree merging: unable to recover frameId of node with backendDOMNodeId {repr(node['backendDOMNodeId'])}, skipping" + ) + # it seems Page.getFrameTree() from CDP omits certain Frames (empty frames?) + # if a frame is not found in the extracted AXTrees, we just ignore it + elif frame_id in frame_axtrees: + # root node should always be the first node in the AXTree + frame_root_node = frame_axtrees[frame_id]["nodes"][0] + assert frame_root_node["frameId"] == frame_id + node["childIds"].append(frame_root_node["nodeId"]) + else: + logger.warning( + f"AXTree merging: extracted AXTree does not contain frameId '{frame_id}', skipping" + ) + + cdp.detach() + + return merged_axtree + + +def extract_focused_element_bid(page: playwright.sync_api.Page): + # this JS code will dive through ShadowDOMs + extract_focused_element_with_bid_script = """\ +() => { + // This recursive function traverses shadow DOMs + function getActiveElement(root) { + const active_element = root.activeElement; + + if (!active_element) { + return null; + } + + if (active_element.shadowRoot) { + return getActiveElement(active_element.shadowRoot); + } else { + return active_element; + } + } + return getActiveElement(document); +}""" + # this playwright code will dive through iFrames + frame = page + focused_bid = "" + try: + while frame: + focused_element = frame.evaluate_handle( + extract_focused_element_with_bid_script, BID_ATTR + ).as_element() + if focused_element: + frame = focused_element.content_frame() + focused_bid = focused_element.get_attribute(BID_ATTR) + else: + frame = None + except playwright.sync_api.TimeoutError: + focused_bid = "" + + # convert null / None to empty string + if not focused_bid: + focused_bid = "" + + return focused_bid diff --git a/BrowserGym/browsergym/core/src/browsergym/core/registration.py b/BrowserGym/browsergym/core/src/browsergym/core/registration.py new file mode 100644 index 0000000000000000000000000000000000000000..d2aa2533838bbf4a2814bf0ed2f1d643c225f443 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/registration.py @@ -0,0 +1,76 @@ +from functools import partial +from typing import Type + +import gymnasium as gym + +from .env import BrowserEnv +from .task import AbstractBrowserTask + + +class frozen_partial: + """ + Freeze some keyword arguments of a function. + + """ + + def __init__(self, func, **frozen_kwargs): + self.func = func + self.frozen_kwargs = frozen_kwargs + + def __call__(self, *args, **kwargs): + # check overlap between kwargs and frozen_kwargs + clashing_kwargs = set(self.frozen_kwargs) & set(kwargs) # key set intersection + if clashing_kwargs: + raise ValueError(f"Illegal attempt to override frozen parameters {clashing_kwargs}.") + # merge the two dicts + kwargs = kwargs | self.frozen_kwargs + + return self.func(*args, **kwargs) + + +def register_task( + id: str, + task_class: Type[AbstractBrowserTask], + task_kwargs: dict = {}, + default_task_kwargs: dict = {}, + nondeterministic: bool = True, + *args, + **kwargs, +): + """ + Registers a browser task as a gym environment with its unique id. + + Args: + id: the id of the task to register (will be prepended by "browsergym/"). + task_class: the task class to register. + task_kwargs: frozen task arguments (can not be overloaded at environment creation time). + task_kwargs_default: default task arguments (can be overloaded at environment creation time). + nondeterministic: whether the task cannot be guaranteed deterministic transitions. + *args: additional sequential arguments for either the gym or the browsergym environment. + *kwargs: additional keyword arguments for either the gym or the browsergym environment. + """ + if task_kwargs and default_task_kwargs: + # check overlap between frozen and default task_kwargs + clashing_kwargs = set(task_kwargs) & set(default_task_kwargs) # key set intersection + if clashing_kwargs: + raise ValueError( + f"Illegal attempt to register Browsergym environment {id} with both frozen and default values for task parameters {clashing_kwargs}." + ) + + task_entrypoint = task_class + + # freeze task_kwargs (cannot be overriden at environment creation) + task_entrypoint = frozen_partial(task_class, **task_kwargs) + + # pre-set default_task_kwargs (can be overriden at environment creation) + task_entrypoint = partial(task_entrypoint, **default_task_kwargs) + + gym.register( + id=f"browsergym/{id}", + entry_point=lambda *env_args, **env_kwargs: BrowserEnv( + task_entrypoint, *env_args, **env_kwargs + ), + nondeterministic=nondeterministic, + *args, + **kwargs, + ) diff --git a/BrowserGym/browsergym/core/src/browsergym/core/spaces.py b/BrowserGym/browsergym/core/src/browsergym/core/spaces.py new file mode 100644 index 0000000000000000000000000000000000000000..cdeef1aa5574397db7589f2d2082a86a5541c0db --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/spaces.py @@ -0,0 +1,140 @@ +"""Borrowed from https://github.com/Farama-Foundation/miniwob-plusplus/blob/553daee55ea0b2cc32b181a474083ab4cad782a1/miniwob/spaces.py""" + +from typing import Any + +import numpy as np +from gymnasium.spaces import Space +from numpy.typing import NDArray + + +class Unicode(Space): + """ + A space representing a unicode string. + """ + + def __init__(self): + super().__init__() + + def contains(self, x: Any) -> bool: + """Return boolean specifying if x is a valid member of this space.""" + # Do not check the character set. + return isinstance(x, str) + + def __repr__(self) -> str: + """Gives a string representation of this space.""" + return f"Unicode()" + + def __eq__(self, other: Any) -> bool: + """Check whether ``other`` is equivalent to this instance.""" + return isinstance(other, Unicode) + + +class Float(Space): + """ + A space representing a float. + """ + + def __init__(self): + super().__init__() + + def contains(self, x: Any) -> bool: + """Return boolean specifying if x is a valid member of this space.""" + return isinstance(x, float) + + def __repr__(self) -> str: + """Gives a string representation of this space.""" + return f"Float()" + + def __eq__(self, other: Any) -> bool: + """Check whether ``other`` is equivalent to this instance.""" + return isinstance(other, Float) + + +class Integer(Space): + """ + A space representing an integer. + """ + + def __init__(self): + super().__init__() + + def contains(self, x: Any) -> bool: + """Return boolean specifying if x is a valid member of this space.""" + return isinstance(x, int) + + def __repr__(self) -> str: + """Gives a string representation of this space.""" + return f"Integer()" + + def __eq__(self, other: Any) -> bool: + """Check whether ``other`` is equivalent to this instance.""" + return isinstance(other, Integer) + + +class AnyDict(Space): + """A space representing an arbitrary dictionary object.""" + + def contains(self, x: Any) -> bool: + """Return boolean specifying if x is a valid member of this space.""" + # Do not check anything specific. + return isinstance(x, dict) + + def __repr__(self) -> str: + """Gives a string representation of this space.""" + return f"AnyDict()" + + def __eq__(self, other: Any) -> bool: + """Check whether ``other`` is equivalent to this instance.""" + return isinstance(other, AnyDict) + + +class Anything(Space): + """A space representing an arbitrary dictionary object.""" + + def contains(self, x: Any) -> bool: + return True + + def __repr__(self) -> str: + return f"Anything()" + + def __eq__(self, other: Any) -> bool: + return isinstance(other, Anything) + + +class AnyBox(Space[NDArray[Any]]): + """A space representing an arbitrary dictionary object.""" + + def __init__(self, low, high, shape, dtype): + super().__init__(shape, dtype) + self.low = low + self.high = high + + def contains(self, x: Any) -> bool: + """Return boolean specifying if x is a valid member of this space.""" + if not isinstance(x, np.ndarray): + try: + x = np.asarray(x, dtype=self.dtype) + except (ValueError, TypeError): + return False + + return bool( + np.can_cast(x.dtype, self.dtype) + and len(x.shape) == len(self.shape) + and all([dim in (xdim, -1) for xdim, dim in zip(x.shape, self.shape)]) + and np.all(x >= self.low) + and np.all(x <= self.high) + ) + + def __repr__(self) -> str: + """Gives a string representation of this space.""" + return f"AnyBox(low={repr(self.low)}, high={repr(self.high)}, shape={repr(self.shape)}, dtype={repr(self.dtype)})" + + def __eq__(self, other: Any) -> bool: + """Check whether ``other`` is equivalent to this instance.""" + return ( + isinstance(other, AnyBox) + and self.low == other.low + and self.high == other.high + and self.shape == other.shape + and self.dtype == other.dtype + ) diff --git a/BrowserGym/browsergym/core/src/browsergym/core/task.py b/BrowserGym/browsergym/core/src/browsergym/core/task.py new file mode 100644 index 0000000000000000000000000000000000000000..5c5b2eb3714f5d7b5dd60920a239d4de3efbc781 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/core/task.py @@ -0,0 +1,111 @@ +from abc import ABC, abstractmethod +from typing import Tuple + +import numpy as np +import playwright.sync_api + + +class AbstractBrowserTask(ABC): + """ + Abstract class for browsergym tasks. + + """ + + @classmethod + def get_task_id(cls): + raise NotImplementedError + + def __init__(self, seed: int) -> None: + # initiate a random number generator + self.random = np.random.RandomState(seed) + + # task properties, will be used to set up the browsergym environment + # default values, can be overriden in children classes + self.viewport = {"width": 1280, "height": 720} + self.slow_mo = 1000 # ms + self.timeout = 5000 # ms + self.locale = None # see https://playwright.dev/python/docs/api/class-browser#browser-new-context-option-locale + self.timezone_id = None # see https://playwright.dev/python/docs/api/class-browser#browser-new-context-option-timezone-id + + @abstractmethod + def setup(self, page: playwright.sync_api.Page) -> tuple[str, dict]: + """ + Set up everything needed to execute the task. + + Args: + page: the active playwright page. + + Returns: + goal: str, goal of the task. + info: dict, custom information from the task. + """ + + @abstractmethod + def validate( + self, page: playwright.sync_api.Page, chat_messages: list[str] + ) -> Tuple[float, bool, str, dict]: + """ + Validate the task was completed successfully + + Args: + page: the active playwright page. + chat_messages: the chat messages. + + Returns: + reward: float, the reward obtained since last call to validate(). + done: boolean flag, indicates if the task has finished or not (be it success or fail). + message: string, a new user message for the chat. + info: dictionnary, custom information from the task. + + """ + + def cheat(self, page: playwright.sync_api.Page, chat_messages: list[str]) -> None: + """ + Solve the task using a pre-defined solution (optional). + + """ + raise NotImplementedError + + def teardown(self) -> None: + """ + Tear down the task and clean up any resource / data created by the task (optional). + + """ + pass + + +class OpenEndedTask(AbstractBrowserTask): + @classmethod + def get_task_id(cls): + return "openended" + + def __init__(self, seed: int, start_url: str, goal: str = None) -> None: + """ + Args: + seed: random seed. + start_url: str, the url for the starting page. + goal: str, the initial goal. + + """ + super().__init__(seed) + self.start_url = start_url + self.goal = goal + + def setup(self, page: playwright.sync_api.Page) -> tuple[str, dict]: + page.goto(self.start_url, timeout=50000) + return self.goal, {} + + def teardown(self) -> None: + pass + + def validate( + self, page: playwright.sync_api.Page, chat_messages: list[str] + ) -> Tuple[float, bool, str, dict]: + reward, done, msg, info = 0, False, "", {} + + for message in chat_messages: + if message["role"] == "user" and message["message"] == "exit": + done = True + break + + return reward, done, msg, info diff --git a/BrowserGym/browsergym/core/src/browsergym/utils/__pycache__/obs.cpython-311.pyc b/BrowserGym/browsergym/core/src/browsergym/utils/__pycache__/obs.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e0b3eac1d628ac41cf263772d9a0d67b08fedfd4 Binary files /dev/null and b/BrowserGym/browsergym/core/src/browsergym/utils/__pycache__/obs.cpython-311.pyc differ diff --git a/BrowserGym/browsergym/core/src/browsergym/utils/mcp_server.py b/BrowserGym/browsergym/core/src/browsergym/utils/mcp_server.py new file mode 100644 index 0000000000000000000000000000000000000000..1a6fb2663084ee755c6531eae5698e0505a66589 --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/utils/mcp_server.py @@ -0,0 +1,192 @@ +# MCP server for BrowserGym +import argparse +import asyncio +import re +from collections.abc import AsyncIterator +from contextlib import asynccontextmanager +from dataclasses import dataclass, field +from typing import Callable + +import gymnasium as gym +from mcp.server.fastmcp import FastMCP + +from browsergym.core.action.highlevel import ACTION_SUBSETS, HighLevelActionSet +from browsergym.core.env import BrowserEnv + + +@dataclass +class BgymConfig: + headless: bool = True + timeout_ms: int = 10000 + record_video_dir: str | None = None + demo_mode: HighLevelActionSet.DemoMode = "default" + validate_actions: list[str] = field(default_factory=list) + + +@dataclass +class AppContext: + gym: BrowserEnv + config: BgymConfig + task_id: str + actions: HighLevelActionSet + + +def get_cli_args(): + parser = argparse.ArgumentParser( + description="BrowserGym MCP server", + usage="python browsergym/core/src/browsergym/utils/%(prog)s [options]", + epilog="To run Dev UI: mcp dev browsergym/core/src/browsergym/utils/mcp_server.py -e browsergym/core/", + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + ) + parser.add_argument( + "-t", + "--task_id", + type=str, + default="browsergym/openended", + help="Task ID to run", + ) + parser.add_argument( + "-l", + "--headless", + action="store_true", + help="Run in headless mode", + ) + parser.add_argument( + "-r", + "--record_video_dir", + type=str, + default=None, + help="Directory to save recorded videos", + ) + parser.add_argument( + "--demo_mode", + type=str, + default="off", + choices=["off", "default", "all_blue", "only_visible_elements"], + help="Demo mode for action set", + ) + parser.add_argument( + "--timeout_ms", + type=int, + default=10000, + help="Timeout in milliseconds for each step", + ) + parser.add_argument( + "--subset", + type=str, + default="workarena++", + choices=ACTION_SUBSETS.keys(), + help="Subset of actions to use", + ) + parser.add_argument( + "--validate_actions", + type=str, + nargs="+", + default=["click", "goto"], + help="Names of actions for which validation should be performed", + ) + args, _ = parser.parse_known_args() + return args + + +args = get_cli_args() +task_id = args.task_id +config = BgymConfig( + headless=args.headless, + timeout_ms=args.timeout_ms, + record_video_dir=args.record_video_dir, + demo_mode=args.demo_mode, + validate_actions=args.validate_actions, +) + + +@asynccontextmanager +async def app_lifespan(server: FastMCP) -> AsyncIterator[AppContext]: + """Manage application lifecycle with type-safe context""" + # Initialize on startup + actions = HighLevelActionSet(demo_mode=config.demo_mode, subsets=args.subset) + _gym: BrowserEnv = await asyncio.to_thread( + gym.make, + task_id, + headless=config.headless, + record_video_dir=config.record_video_dir, + action_mapping=actions.to_python_code, + timeout=config.timeout_ms, + task_kwargs={"start_url": "about:blank"}, + ) # type: ignore + await asyncio.to_thread(_gym.reset) + + try: + yield AppContext(gym=_gym, config=config, task_id=task_id, actions=actions) + finally: + # Cleanup on shutdown + await asyncio.to_thread(_gym.close) + + +mcp = FastMCP("BrowserGym", lifespan=app_lifespan) + + +def format_func_call(func: Callable, args, kwargs) -> str: + args_str = ", ".join(repr(arg) for arg in args) + kwargs_str = ", ".join(f"{k}={repr(v)}" for k, v in kwargs.items()) + all_args_str = ", ".join(filter(None, [args_str, kwargs_str])) + return f"{func.__name__}({all_args_str})" + + +def fn_wrapper(func: Callable, validate: bool = True): + async def decorator(*args, **kwargs): + """ + Decorator to execute function from the action space in the context of the gym. + 1. Loads the parent module of the function to use as function context + 2. Executes the pre_step method of the gym + 3. Sets up the module vars from the current state of the gym + 4. Executes the function from this module and handles any exceptions + 5. Executes the post_step method of the gym + + """ + gym: BrowserEnv = mcp.get_context().request_context.lifespan_context.gym # type: ignore + while not isinstance(gym, BrowserEnv): + gym = ( + gym.env + ) # gym library wraps the BrowserEnv in a few layers (usually 2) of wrappers, this loop unwraps them + + # Load the parent module of the function to use as function context + import browsergym.core.action.functions as fn_context + + fn = getattr(fn_context, func.__name__) + + gym.last_action = format_func_call(fn, args, kwargs) + info, send_message_to_user, report_infeasible_instructions = await asyncio.to_thread( + gym.pre_step + ) + + # Set up the module vars from the current state of the gym + fn_context.send_message_to_user = send_message_to_user + fn_context.report_infeasible_instructions = report_infeasible_instructions + fn_context.page = gym.page + fn_context.demo_mode = config.demo_mode + + try: + fn(*args, **kwargs) + gym.last_action_error = "" + except Exception as e: + gym.last_action_error = f"{type(e).__name__}: {e}" + match = re.match("TimeoutError: Timeout ([0-9]+)ms exceeded.", gym.last_action_error) + if match: + info["action_exec_timeout"] = float(match.groups()[0]) / 1000 + + results = await asyncio.to_thread(gym.post_step, info, validate) + return results + + decorator.__wrapped__ = func # type: ignore + decorator.__name__ = func.__name__ + decorator.__doc__ = func.__doc__ + return decorator + + +for fn in ACTION_SUBSETS[args.subset]: + validate = fn.__name__ in config.validate_actions + mcp.add_tool(fn_wrapper(fn, validate)) + +if __name__ == "__main__": + mcp.run(transport="stdio") diff --git a/BrowserGym/browsergym/core/src/browsergym/utils/obs.py b/BrowserGym/browsergym/core/src/browsergym/utils/obs.py new file mode 100644 index 0000000000000000000000000000000000000000..db5b8ce03f4ad0c1708c70aa5d52ba20297fc22d --- /dev/null +++ b/BrowserGym/browsergym/core/src/browsergym/utils/obs.py @@ -0,0 +1,554 @@ +import ast +import logging +import math +import re +from collections import defaultdict + +import numpy as np +import PIL.Image +import PIL.ImageDraw +import PIL.ImageFont +from bs4 import BeautifulSoup + +from browsergym.core.constants import BROWSERGYM_ID_ATTRIBUTE as BID_ATTR +from browsergym.core.constants import BROWSERGYM_SETOFMARKS_ATTRIBUTE as SOM_ATTR +from browsergym.core.constants import BROWSERGYM_VISIBILITY_ATTRIBUTE as VIS_ATTR + +logger = logging.getLogger(__name__) + +IGNORED_AXTREE_ROLES = ["LineBreak"] + +IGNORED_AXTREE_PROPERTIES = ( + "editable", + "readonly", + "level", + "settable", + "multiline", + "invalid", + "focusable", +) + + +def flatten_dom_to_str( + dom_snapshot, + extra_properties: dict = None, + with_visible: bool = False, + with_clickable: bool = False, + with_center_coords: bool = False, + with_bounding_box_coords: bool = False, + with_som: bool = False, + filter_visible_only: bool = False, + filter_with_bid_only: bool = False, + filter_som_only: bool = False, + coord_decimals: int = 0, + hide_bid_if_invisible: int = False, + hide_all_bids: bool = False, +) -> str: + """Formats a DOM snapshot into a string text""" + + def to_string(idx): + if idx == -1: + return None + else: + return dom_snapshot["strings"][idx] + + def parse_document(document_idx) -> str: + # adapted from [natbot](https://github.com/nat/natbot) + + nodes = dom_snapshot["documents"][document_idx]["nodes"] + node_children = defaultdict(lambda: []) + + for node_idx in range(len(nodes["nodeName"])): + parent_idx = nodes["parentIndex"][node_idx] + if parent_idx != -1: + node_children[parent_idx].append(node_idx) + + def dfs(node_idx: int, parent_node_skipped: bool) -> str: + + # https://developer.mozilla.org/en-US/docs/Web/API/Node/nodeType + # https://developer.mozilla.org/en-US/docs/Web/API/Node/nodeName + # https://developer.mozilla.org/en-US/docs/Web/API/Node/nodeValue + + node_type = nodes["nodeType"][node_idx] + node_name = to_string(nodes["nodeName"][node_idx]) + node_value = to_string(nodes["nodeValue"][node_idx]) + html_before = "" + html_after = "" + skip_node = False + + # text nodes: print text content only if parent was not skipped + if node_type == 3: # node_name == "#text" + if not parent_node_skipped and node_value is not None: + html_before += node_value + + # CData nodes: print content only if parent was not skipped + elif node_type == 4: # node_name == "#cdata-section": + if not parent_node_skipped and node_value is not None: + html_before += f"" + + # processing instructions, comments, documents, doctypes, document fragments: don't print + elif node_type in (7, 8, 9, 10, 11): + skip_node = True + + # now we should have an element node + else: + assert node_type == 1 + + tag_name = node_name.lower().strip() + attributes = [] # to be printed as attributes with the tag + bid = None + + # parse node attributes + node_attr_idxs = nodes["attributes"][node_idx] + for i in range(0, len(node_attr_idxs), 2): + attr_name = to_string(node_attr_idxs[i]) + attr_value = to_string(node_attr_idxs[i + 1]) + + # extract and print bid + if attr_name == BID_ATTR: + bid = attr_value + # ignore browsergym attributes + elif attr_name in (VIS_ATTR, SOM_ATTR): + pass + # print other attributes + else: + if attr_value is None: + # attribute value missing + attributes.append(f"{attr_name}") + else: + # attribute value present + attributes.append(f'{attr_name}="{attr_value}"') + + skip_node, extra_attributes_to_print = _process_bid( + bid, + extra_properties=extra_properties, + with_visible=with_visible, + with_clickable=with_clickable, + with_center_coords=with_center_coords, + with_bounding_box_coords=with_bounding_box_coords, + with_som=with_som, + filter_visible_only=filter_visible_only, + filter_with_bid_only=filter_with_bid_only, + filter_som_only=filter_som_only, + coord_decimals=coord_decimals, + ) + + # insert extra attributes before regular attributes + attributes = extra_attributes_to_print + attributes + + # insert bid as first attribute + if not ( + hide_all_bids + or bid is None + or ( + hide_bid_if_invisible + and extra_properties.get(bid, {}).get("visibility", 0) < 0.5 + ) + ): + attributes.insert(0, f'bid="{bid}"') + + if not skip_node: + # print node opening tag, with its attributes + html_before += f"<{tag_name}" + " ".join([""] + attributes) + ">" + # print node closing tag + html_after += f"" + + html = "" + html += html_before + + # recursively print iframe nodes if any + if node_idx in nodes["contentDocumentIndex"]["index"]: + sub_document_idx = nodes["contentDocumentIndex"]["value"][ + nodes["contentDocumentIndex"]["index"].index(node_idx) + ] + html += parse_document(document_idx=sub_document_idx) + + # recursively print children nodes if any + for child_idx in node_children[node_idx]: + html += dfs(node_idx=child_idx, parent_node_skipped=skip_node) + + html += html_after + + return html + + html = dfs(node_idx=0, parent_node_skipped=False) + + # Format the HTML document with indentation + soup = BeautifulSoup(html, "lxml") + html = soup.prettify() + + return html + + html = parse_document(document_idx=0) + + return html + + +def _get_coord_str(coord, decimals): + if isinstance(coord, str): + coord = list(map(float, ast.literal_eval(coord))) + + coord_format = f".{decimals}f" + coord_str = ",".join([f"{c:{coord_format}}" for c in coord]) + return f"({coord_str})" + + +def _process_bid( + bid, + extra_properties: dict = None, + with_visible: bool = False, + with_clickable: bool = False, + with_center_coords: bool = False, + with_bounding_box_coords: bool = False, + with_som: bool = False, + filter_visible_only: bool = False, + filter_with_bid_only: bool = False, + filter_som_only: bool = False, + coord_decimals: int = 0, +): + """ + Process extra attributes and attribute-based filters, for the element with the given bid. + + Returns: + A flag indicating if the element should be skipped or not (due to filters). + Attributes to be printed, as a list of "x=y" strings. + """ + + if extra_properties is None: + if any( + ( + with_visible, + with_clickable, + with_center_coords, + with_bounding_box_coords, + with_som, + filter_visible_only, + filter_with_bid_only, + filter_som_only, + ) + ): + raise ValueError("extra_properties argument required") + else: + extra_properties = {} + + skip_element = False + attributes_to_print = [] + + if bid is None: + # skip nodes without a bid (if requested) + if filter_with_bid_only: + skip_element = True + if filter_som_only: + skip_element = True + if filter_visible_only: + # element without bid have no visibility mark, they could be visible or non-visible + # TODO we consider them as visible. Is this what we want? Now that duplicate bids are handled, should we mark all non-html elements? + pass # keep elements without visible property + # skip_element = True # filter elements without visible property + + # parse extra browsergym properties, if node has a bid + else: + if bid in extra_properties: + node_vis = extra_properties[bid]["visibility"] + node_bbox = extra_properties[bid]["bbox"] + node_is_clickable = extra_properties[bid]["clickable"] + node_in_som = extra_properties[bid]["set_of_marks"] + node_is_visible = node_vis >= 0.5 + # skip non-visible nodes (if requested) + if filter_visible_only and not node_is_visible: + skip_element = True + if filter_som_only and not node_in_som: + skip_element = True + # print extra attributes if requested (with new names) + if with_som and node_in_som: + attributes_to_print.insert(0, f"som") + if with_visible and node_is_visible: + attributes_to_print.insert(0, f"visible") + if with_clickable and node_is_clickable: + attributes_to_print.insert(0, f"clickable") + if with_center_coords and node_bbox is not None: + x, y, width, height = node_bbox + center = (x + width / 2, y + height / 2) + attributes_to_print.insert(0, f'center="{_get_coord_str(center, coord_decimals)}"') + if with_bounding_box_coords and node_bbox is not None: + x, y, width, height = node_bbox + box = (x, y, x + width, y + height) + attributes_to_print.insert(0, f'box="{_get_coord_str(box, coord_decimals)}"') + + return skip_element, attributes_to_print + + +def flatten_axtree_to_str( + AX_tree, + extra_properties: dict = None, + with_visible: bool = False, + with_clickable: bool = False, + with_center_coords: bool = False, + with_bounding_box_coords: bool = False, + with_som: bool = False, + skip_generic: bool = True, + filter_visible_only: bool = False, + filter_with_bid_only: bool = False, + filter_som_only: bool = False, + coord_decimals: int = 0, + ignored_roles=IGNORED_AXTREE_ROLES, + ignored_properties=IGNORED_AXTREE_PROPERTIES, + remove_redundant_static_text: bool = True, + hide_bid_if_invisible: bool = False, + hide_all_children: bool = False, + hide_all_bids: bool = False, +) -> str: + """Formats the accessibility tree into a string text""" + node_id_to_idx = {} + for idx, node in enumerate(AX_tree["nodes"]): + node_id_to_idx[node["nodeId"]] = idx + + def dfs(node_idx: int, depth: int, parent_node_filtered: bool, parent_node_name: str) -> str: + tree_str = "" + node = AX_tree["nodes"][node_idx] + indent = "\t" * depth + skip_node = False # node will not be printed, with no effect on children nodes + filter_node = False # node will not be printed, possibly along with its children nodes + node_role = node["role"]["value"] + node_name = "" + + if node_role in ignored_roles: + skip_node = True + pass + elif "name" not in node: + skip_node = True + pass + else: + node_name = node["name"]["value"] + if "value" in node and "value" in node["value"]: + node_value = node["value"]["value"] + else: + node_value = None + + # extract bid + bid = node.get("browsergym_id", None) + + # extract node attributes + attributes = [] + for property in node.get("properties", []): + if not "value" in property: + continue + if not "value" in property["value"]: + continue + + prop_name = property["name"] + prop_value = property["value"]["value"] + + if prop_name in ignored_properties: + continue + elif prop_name in ("required", "focused", "atomic"): + if prop_value: + attributes.append(prop_name) + else: + attributes.append(f"{prop_name}={repr(prop_value)}") + + if skip_generic and node_role == "generic" and not attributes: + skip_node = True + + if hide_all_children and parent_node_filtered: + skip_node = True + + if node_role == "StaticText": + if parent_node_filtered: + skip_node = True + elif remove_redundant_static_text and node_name in parent_node_name: + skip_node = True + else: + filter_node, extra_attributes_to_print = _process_bid( + bid, + extra_properties=extra_properties, + with_visible=with_visible, + with_clickable=with_clickable, + with_center_coords=with_center_coords, + with_bounding_box_coords=with_bounding_box_coords, + with_som=with_som, + filter_visible_only=filter_visible_only, + filter_with_bid_only=filter_with_bid_only, + filter_som_only=filter_som_only, + coord_decimals=coord_decimals, + ) + + # if either is True, skip the node + skip_node = skip_node or filter_node + + # insert extra attributes before regular attributes + attributes = extra_attributes_to_print + attributes + + # actually print the node string + if not skip_node: + if node_role == "generic" and not node_name: + node_str = f"{node_role}" + else: + node_str = f"{node_role} {repr(node_name.strip())}" + + if not ( + hide_all_bids + or bid is None + or ( + hide_bid_if_invisible + and extra_properties.get(bid, {}).get("visibility", 0) < 0.5 + ) + ): + node_str = f"[{bid}] " + node_str + + if node_value is not None: + node_str += f' value={repr(node["value"]["value"])}' + + if attributes: + node_str += ", ".join([""] + attributes) + + tree_str += f"{indent}{node_str}" + + for child_node_id in node["childIds"]: + if child_node_id not in node_id_to_idx or child_node_id == node["nodeId"]: + continue + # mark this to save some tokens + child_depth = depth if skip_node else (depth + 1) + child_str = dfs( + node_id_to_idx[child_node_id], + child_depth, + parent_node_filtered=filter_node, + parent_node_name=node_name, + ) + if child_str: + if tree_str: + tree_str += "\n" + tree_str += child_str + + return tree_str + + tree_str = dfs(0, 0, False, "") + return tree_str + + +def overlay_som( + screenshot: np.typing.ArrayLike, + extra_properties: dict, + fontsize: int = 12, + linewidth: int = 2, + tag_margin: int = 2, +): + img = PIL.Image.fromarray(screenshot).copy() # make a copy + img = img.convert(mode="RGBA") + draw = PIL.ImageDraw.Draw(img) + + font = PIL.ImageFont.load_default(size=fontsize) + + # Adapted from https://stackoverflow.com/questions/51908563/dotted-or-dashed-line-with-python-pillow/58885306#58885306 + def linedashed( + draw: PIL.ImageDraw.Draw, x0, y0, x1, y1, fill, width, dash_length=4, nodash_length=8 + ): + line_dx = x1 - x0 # delta x (can be negative) + line_dy = y1 - y0 # delta y (can be negative) + line_length = math.hypot(line_dx, line_dy) # line length (positive) + if line_length == 0: + return # Avoid division by zero in case the line length is 0 + pixel_dx = line_dx / line_length # x add for 1px line length + pixel_dy = line_dy / line_length # y add for 1px line length + dash_start = 0 + while dash_start < line_length: + dash_end = dash_start + dash_length + if dash_end > line_length: + dash_end = line_length + draw.line( + ( + round(x0 + pixel_dx * dash_start), + round(y0 + pixel_dy * dash_start), + round(x0 + pixel_dx * dash_end), + round(y0 + pixel_dy * dash_end), + ), + fill=fill, + width=width, + ) + dash_start += dash_length + nodash_length + + for bid, properties in extra_properties.items(): + if properties["set_of_marks"] and properties["bbox"]: + x, y, width, height = properties["bbox"] + x0, y0 = x, y + x1, y1 = x + width, y + height + + # skip small boxes + area = (x1 - x0) * (y1 - y0) + if area < 20: + logger.warning( + f'som overlay: skipping bid "{bid}" due to bbox too small (area={area})' + ) + continue + + # draw bounding box with dashed lines + linedashed(draw, x0, y0, x1, y0, fill=(0, 0, 0, 255), width=linewidth) + linedashed(draw, x1, y0, x1, y1, fill=(0, 0, 0, 255), width=linewidth) + linedashed(draw, x1, y1, x0, y1, fill=(0, 0, 0, 255), width=linewidth) + linedashed(draw, x0, y1, x0, y0, fill=(0, 0, 0, 255), width=linewidth) + + # get text box size (left, top, right, bottom) + tag_box = font.getbbox( + bid, + ) + + # set tag size, including margins + tag_size = ( + (tag_box[2] - tag_box[0] + 2 * (tag_margin + 1)), + (tag_box[3] - tag_box[1] + 2 * (tag_margin + 1)), + ) + + # create tag image with correct size and black background + tag_img = PIL.Image.new("RGBA", tag_size, "black") + tag_draw = PIL.ImageDraw.Draw(tag_img) + # write text with 1px horizontal margin + tag_draw.text( + (-tag_box[0] + tag_margin + 1, -tag_box[1] + tag_margin + 1), + bid, + font=font, + fill=(255, 255, 255, 255), + spacing=0, + ) + tag_draw.rectangle( + (0, 0, tag_size[0] - 1, tag_size[1] - 1), + fill=None, + outline=(255, 255, 255, 255), + width=1, + ) + + # draw tag in the source image, upper left of the bounding box + tag_pos = (x + 0, y - tag_size[1] / 2 + 4) + tag_pos = list(map(round, tag_pos)) + img.paste(tag_img, tag_pos) + + # convert to RGB (3 channels) + img = img.convert(mode="RGB") + # convert to a numpy array + img = np.array(img) + + return img + + +def prune_html(html): + html = re.sub(r"\n", " ", html) + # remove html comments + html = re.sub(r"", "", html, flags=re.MULTILINE) + + soup = BeautifulSoup(html, "lxml") + for tag in reversed(soup.find_all()): + # remove body and html tags (not their content) + if tag.name in ("html", "body"): + tag.unwrap() + # remove useless tags + elif tag.name in ("style", "link", "script", "br"): + tag.decompose() + # remove / unwrap structural tags + elif tag.name in ("div", "span", "i", "p") and len(tag.attrs) == 1 and tag.has_attr("bid"): + if not tag.contents: + tag.decompose() + else: + tag.unwrap() + + html = soup.prettify() + + return html diff --git a/BrowserGym/browsergym/experiments/README.md b/BrowserGym/browsergym/experiments/README.md new file mode 100644 index 0000000000000000000000000000000000000000..cf050994f81716164fc27b4b21a5c7f3bc77f7de --- /dev/null +++ b/BrowserGym/browsergym/experiments/README.md @@ -0,0 +1,12 @@ +# BrowserGym experiments + +This package provides `browsergym.experiments`, a suite of experimentation tools for [BrowserGym](https://github.com/ServiceNow/BrowserGym). + +As a convenience namespace, it also provides `bgym`. + +## Setup + +1. Install the package +```sh +pip install browsergym-experiments +``` diff --git a/BrowserGym/browsergym/experiments/pyproject.toml b/BrowserGym/browsergym/experiments/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..14a9a7a0a39d596b0f5f3ac20c8cbb258f5dd358 --- /dev/null +++ b/BrowserGym/browsergym/experiments/pyproject.toml @@ -0,0 +1,65 @@ +[build-system] +requires = ["hatchling", "hatch-requirements-txt"] +build-backend = "hatchling.build" + +[project] +name = "browsergym-experiments" +description = "Experimentation tools for BrowserGym" +authors = [ + {name = "Massimo Caccia"}, + {name = "Alex Lacoste"}, + {name = "Thibault Le Sellier De Chezelles"}, + {name = "Maxime Gasse"}, +] +readme = "README.md" +requires-python = ">3.7" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: Apache Software License", +] +dynamic = ["dependencies", "version"] + +[project.optional-dependencies] +miniwob = [ + "browsergym-miniwob", +] +workarena = [ + "browsergym-workarena", +] +webarena = [ + "browsergym-webarena", +] +visualwebarena = [ + "browsergym-visualwebarena", +] +assistantbench = [ + "browsergym-assistantbench", +] +weblinx = [ + "weblinx_browsergym", +] +all = [ + "browsergym-experiment[miniwob]", + "browsergym-experiment[workarena]", + "browsergym-experiment[webarena]", + "browsergym-experiment[visualwebarena]", + "browsergym-experiment[assistantbench]", + "browsergym-experiment[weblinx]", +] + +[project.urls] +homepage = "https://github.com/ServiceNow/BrowserGym" + +[tool.hatch.version] +path = "../core/src/browsergym/core/__init__.py" + +[tool.hatch.metadata.hooks.requirements_txt] +files = ["requirements.txt"] + +[tool.hatch.build.targets.wheel] +packages = ["src/browsergym", "src/bgym"] diff --git a/BrowserGym/browsergym/experiments/requirements.txt b/BrowserGym/browsergym/experiments/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..0542cc0d864c8c0963b883c869e181c3819244cf --- /dev/null +++ b/BrowserGym/browsergym/experiments/requirements.txt @@ -0,0 +1,3 @@ +browsergym-core==0.13.4 +tiktoken>=0.4 +dataclasses-json diff --git a/BrowserGym/browsergym/experiments/src/bgym/__init__.py b/BrowserGym/browsergym/experiments/src/bgym/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c43f505fc568cc167f2f1a02fa89dd6999c14865 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/bgym/__init__.py @@ -0,0 +1,17 @@ +from browsergym.core.action.base import AbstractActionSet +from browsergym.core.action.highlevel import HighLevelActionSet +from browsergym.core.action.python import PythonActionSet +from browsergym.experiments.agent import Agent, AgentInfo +from browsergym.experiments.benchmark import ( + DEFAULT_BENCHMARKS, + Benchmark, + HighLevelActionSetArgs, +) +from browsergym.experiments.loop import ( + AbstractAgentArgs, + EnvArgs, + ExpArgs, + ExpResult, + StepInfo, + StepTimestamps, +) diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/__init__.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..815391f17836238a45aaf0f45f32cd7f75ab88c1 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/__init__.py @@ -0,0 +1,2 @@ +from .agent import Agent, AgentInfo +from .loop import AbstractAgentArgs, EnvArgs, ExpArgs, get_exp_result diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/__pycache__/__init__.cpython-311.pyc b/BrowserGym/browsergym/experiments/src/browsergym/experiments/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 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field +from typing import Any + +from browsergym.core.action.base import AbstractActionSet +from browsergym.core.action.highlevel import HighLevelActionSet +from browsergym.utils.obs import flatten_axtree_to_str, flatten_dom_to_str, prune_html + + +def default_obs_preprocessor(obs: dict) -> dict: + obs = obs.copy() # shallow copy to avoid modifying the original dict + # augment the observation with text versions of the DOM and AXTree + obs["dom_txt"] = flatten_dom_to_str(obs["dom_object"]) + obs["axtree_txt"] = flatten_axtree_to_str(obs["axtree_object"]) + obs["pruned_html"] = prune_html(obs["dom_txt"]) + # remove raw entries that the agent won't use, and we don't want to record + del obs["dom_object"] + del obs["axtree_object"] + return obs + + +DEFAULT_ACTION_SET: AbstractActionSet = HighLevelActionSet() +DEFAULT_OBS_PREPROCESSOR: callable = default_obs_preprocessor + + +@dataclass +class AgentInfo: + think: str = None + chat_messages: list = None + stats: dict = field(default_factory=dict) + markdown_page: str = "" + html_page: str = "" + extra_info: dict = None + + def __getitem__(self, key): + return getattr(self, key) + + def __contains__(self, key): + return hasattr(self, key) + + def pop(self, key, default=None): + return getattr(self, key, default) + + def get(self, key, default=None): + return getattr(self, key, default) + + +class Agent(ABC): + """ + A template class that defines the required signature of an agent interacting + with a browsergym environment + + Attributes: + action_set: AbstractActionSet + Defines the set of actions that the agent can take in the environment. + This property is meant to be overloaded by your agent (optional). + By default, uses BrowserGym's high-level action set. + """ + + action_set: AbstractActionSet = DEFAULT_ACTION_SET + + def obs_preprocessor(self, obs: dict) -> Any: + """ + Function that pre-processes observations before feeding them to `get_action()`. + This property is meant to be overloaded by your agent (optional). + By default, the base observation is augmented with text versions of the DOM and AXTREE. + + Why this mapping? This mapping will happen within the experiment loop, so that the + resulting observation gets recorded in the execution traces, and statistics can be computed from it. + """ + return DEFAULT_OBS_PREPROCESSOR(obs) + + @abstractmethod + def get_action(self, obs: Any) -> tuple[str, AgentInfo]: + """ + Updates the agent with the current observation, and returns its next action (plus an info dict, optional). + + Parameters: + ----------- + obs: + The current observation of the environment, after it has been processed by `obs_preprocessor()`. + By default, a BrowserGym observation is a dict with the following entries: + - "chat_messages": list[str], messages between the agent and the user. + - "goal": str, the current goal. + - "open_pages_urls": list[str], open pages. + - "active_page_index": int, the index of the active page. + - "url": str, the current URL. + - "screenshot": 3D np.array, the current screenshot. + - "dom_object": dict, the current DOM object. See DOMSnapshot from chrome devtools. + - "axtree_object": dict, the current AXTREE object. See Accessibility Tree from chrome devtools. + - "extra_element_properties": dict[bid, dict[name, value]] extra + properties of elements in the DOM. + - "focused_element_bid": str, the bid of the focused element. + - "last_action": str, the last action executed. + - "last_action_error": str, the error of the last action. + - "elapsed_time": float, the time elapsed since the start of the episode. + + Returns: + -------- + action: str + The action to be processed by `action_mapping()` (if any), and executed in the environment. + info: AgentInfo + Additional information about the action. with the following entries + being handled by BrowserGym: + - "think": optional chain of thought + - "messages": list of messages with the LLM + - "stats": dict of extra statistics that will be saved and + aggregated. + - "markdown_page": str, string that will be displayed by agentlab's xray tool. + - "extra_info": dict, additional information that will be saved + and aggregated. + """ diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/__init__.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..39d64d6f5551402e417b62796009e7afce0cfeb8 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/__init__.py @@ -0,0 +1,2 @@ +from .base import Benchmark, HighLevelActionSetArgs +from .configs import DEFAULT_BENCHMARKS diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/base.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/base.py new file mode 100644 index 0000000000000000000000000000000000000000..df4d20eb142c594ae64726621607d4ebe56ba279 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/base.py @@ -0,0 +1,253 @@ +import fnmatch +import logging +import random +import typing +from dataclasses import dataclass, field +from typing import Literal, Optional + +import pandas as pd +from dataclasses_json import DataClassJsonMixin, config + +from browsergym.core.action.highlevel import HighLevelActionSet +from browsergym.experiments.loop import EnvArgs + +from .metadata.utils import ( + build_env_args_dependency_graphs, + build_full_task_dependency_graph_from_metadata, + extract_sparse_task_dependency_graph_from_subset, + task_list_from_metadata, +) +from .utils import prepare_backend + +logger = logging.getLogger(__name__) + + +@dataclass +class HighLevelActionSetArgs(DataClassJsonMixin): + subsets: tuple[HighLevelActionSet.ActionSubset] = field( + metadata=config( + encoder=lambda x: list(x), + decoder=lambda x: tuple(x), + ), + ) + # custom_actions: list[callable] | None # non-serializable argument, not supported + multiaction: bool = False + strict: bool = False + retry_with_force: bool = False + demo_mode: Optional[Literal["off", "default", "all_blue", "only_visible_elements"]] = None + + def __post_init__(self): + if isinstance(self.subsets, list): + """Needs to be hashable for AgentLab when uniquely identifying agents.""" + self.subsets = tuple(self.subsets) + + def make_action_set(self): + return HighLevelActionSet( + subsets=self.subsets, + custom_actions=None, + multiaction=self.multiaction, + strict=self.strict, + retry_with_force=self.retry_with_force, + demo_mode=self.demo_mode, + ) + + +BenchmarkBackend = Literal[ + "miniwob", "webarena", "visualwebarena", "workarena", "assistantbench", "weblinx" +] + + +@dataclass +class Benchmark(DataClassJsonMixin): + name: str + high_level_action_set_args: HighLevelActionSetArgs + is_multi_tab: bool + supports_parallel_seeds: bool + env_args_list: list[EnvArgs] + backends: list[BenchmarkBackend] + task_metadata: Optional[pd.DataFrame] = field( + default_factory=lambda: None, + metadata=config( + encoder=lambda df: df.to_dict(orient="records") if df is not None else None, + decoder=lambda items: pd.DataFrame(items) if items is not None else None, + ), + ) + + def __post_init__(self): + # if no metadata is present, generate a dataframe with single "task_name" column + if self.task_metadata is None: + unique_task_names = list(set([env_args.task_name for env_args in self.env_args_list])) + self.task_metadata = pd.DataFrame( + [{"task_name": task_name} for task_name in unique_task_names] + ) + # make sure all tasks in env_args are in the metadata + metadata_tasks = list(self.task_metadata["task_name"]) + assert all([env_args.task_name in metadata_tasks for env_args in self.env_args_list]) + # check backend values + for backend in self.backends: + if backend not in typing.get_args(BenchmarkBackend): + raise ValueError( + f"Unknown Benchmark backend {repr(backend)}. Available backends: {typing.get_args(BenchmarkBackend)}" + ) + + def prepare_backends(self): + for backend in self.backends: + logger.info(f"Preparing {backend} backend...") + prepare_backend(backend) + logger.info(f"{backend} backend ready") + + def subset_from_split(self, split: Literal["train", "valid", "test"]): + split_column = "browsergym_split" + + # check for a split column in metadata + if split_column not in self.task_metadata.columns: + raise NotImplementedError( + f"This benchmark does not provide default train/valid/test splits (missing a {repr(split_column)} column in task metadata)" + ) + + # recover the target split + sub_benchmark = self.subset_from_regexp(split_column, regexp=f"^{split}$") + sub_benchmark.name = f"{self.name}_{split}" + + # check that the split exists (non-empty task list) + if not sub_benchmark.env_args_list: + raise ValueError(f"The default {split} split for this benchmark is empty.") + + return sub_benchmark + + def subset_from_list( + self, + task_list: list[str], + benchmark_name_suffix: Optional[str] = "custom", + split: Optional[str] = None, + ): + """Create a sub-benchmark containing only the specified tasks. + + Args: + task_list: List of task names to include in the sub-benchmark. + benchmark_name_suffix: Optional suffix to append to the benchmark name. Defaults to "custom". + split: Optional split name to append to the benchmark name. Useful for organization. + + Returns: + Benchmark: A new benchmark instance containing only the specified tasks. + + Raises: + ValueError: If the resulting task list is empty or if any specified task doesn't exist. + """ + if not task_list: + raise ValueError("Task list cannot be empty") + + # Convert task_list to set for more efficient lookups + task_set = set(task_list) + + # Validate that all requested tasks exist in the original benchmark + existing_tasks = {env_args.task_name for env_args in self.env_args_list} + invalid_tasks = task_set - existing_tasks + if invalid_tasks: + raise ValueError(f"The following tasks do not exist in the benchmark: {invalid_tasks}") + + name = f"{self.name}_{benchmark_name_suffix}" + if split: + name += f"_{split}" + + sub_benchmark = Benchmark( + name=name, + high_level_action_set_args=self.high_level_action_set_args, + is_multi_tab=self.is_multi_tab, + supports_parallel_seeds=self.supports_parallel_seeds, + backends=self.backends, + env_args_list=[ + env_args for env_args in self.env_args_list if env_args.task_name in task_set + ], + task_metadata=self.task_metadata, + ) + + # This check is redundant now due to the validation above, but kept for safety + if not sub_benchmark.env_args_list: + raise ValueError( + f"The custom {split if split else ''} split for this benchmark is empty." + ) + + return sub_benchmark + + def subset_from_glob(self, column, glob): + subset = self.subset_from_regexp(column, regexp=fnmatch.translate(glob)) + subset.name = f"{self.name}[{column}={glob}]" + return subset + + def subset_from_regexp(self, column, regexp): + # extract the filtered task_name subset + task_name_subset = task_list_from_metadata(self.task_metadata, {column: regexp}) + + # return the sub benchmark + return Benchmark( + name=f"{self.name}[{column}=/{regexp}/]", + high_level_action_set_args=self.high_level_action_set_args, + is_multi_tab=self.is_multi_tab, + supports_parallel_seeds=self.supports_parallel_seeds, + backends=self.backends, + env_args_list=[ + env_args + for env_args in self.env_args_list + if env_args.task_name in task_name_subset + ], + task_metadata=self.task_metadata, + ) + + def subset_from_task_ratio(self, ratio, seed): + """Get a random subset of the tasks given a ratio and seed.""" + rng = random.Random(seed) + task_names = list(set([env_args.task_name for env_args in self.env_args_list])) + rng.shuffle(task_names) + num_tasks = int(len(task_names) * ratio) + task_name_subset = task_names[:num_tasks] + + return Benchmark( + name=f"{self.name}[ratio={ratio}, seed={seed}]", + high_level_action_set_args=self.high_level_action_set_args, + is_multi_tab=self.is_multi_tab, + supports_parallel_seeds=self.supports_parallel_seeds, + backends=self.backends, + env_args_list=[ + env_args + for env_args in self.env_args_list + if env_args.task_name in task_name_subset + ], + task_metadata=self.task_metadata, + ) + + def dependency_graph_over_tasks(self) -> dict[str, list[str]]: + # recover all unique task_names present in the benchmark + task_names = list(set([env_args.task_name for env_args in self.env_args_list])) + + # if "depends_on" column is missing, raise a warning and deal with it + # (we don't want the "depends_on" column to be mandatory) + if "depends_on" not in self.task_metadata.columns: + logger.warning( + f'This benchmark does not provide a dependency graph (missing a "depends_on" column in task metadata). Assuming no task dependencies.' + ) + zero_dependencies = {task_name: [] for task_name in task_names} + return zero_dependencies + + # recover the task dependency graph, for tasks in the benchmark only + task_dependencies = extract_sparse_task_dependency_graph_from_subset( + task_subset=task_names, + parents=build_full_task_dependency_graph_from_metadata( + task_metadata=self.task_metadata + ), + ) + + return task_dependencies + + def dependency_graphs_over_env_args(self) -> list[dict[str, list[str]]]: + """ + Returns a list of dependency graphs to be executed sequentially, typically with a full instance reset in-between. + Ideally, a job scheduler should connect these graphs by injecting a reset task in-between each, which depends on all previous tasks being completed. + """ + task_dependencies = self.dependency_graph_over_tasks() + env_args_dependencies = build_env_args_dependency_graphs( + env_args_list=self.env_args_list, + task_dependencies=task_dependencies, + supports_parallel_seeds=self.supports_parallel_seeds, + ) + return env_args_dependencies diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/configs.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/configs.py new file mode 100644 index 0000000000000000000000000000000000000000..c9c5994e0690c0f80894001bedd7e559107c36d0 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/configs.py @@ -0,0 +1,264 @@ +import numpy as np + +from browsergym.experiments.benchmark.metadata.utils import ( + task_list_from_metadata, + task_metadata, +) +from browsergym.experiments.benchmark.utils import ( + make_env_args_list_from_fixed_seeds, + make_env_args_list_from_repeat_tasks, + make_env_args_list_from_workarena_curriculum, +) + +from .base import Benchmark, HighLevelActionSetArgs + +# These are mean as the default highlevel action set to fairly evaluate agents on each benchmark. +# They are mostly arbitrary, the important thing is to evaluate different agents using the same action set for fairness. +DEFAULT_HIGHLEVEL_ACTION_SET_ARGS = { + "miniwob_all": HighLevelActionSetArgs( + subsets=["miniwob_all"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + "miniwob_liu18": HighLevelActionSetArgs( + subsets=["miniwob_liu18"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + "miniwob_shi17": HighLevelActionSetArgs( + subsets=["miniwob_shi17"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + "miniwob_humphreys22": HighLevelActionSetArgs( + subsets=["miniwob_humphreys22"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + "workarena": HighLevelActionSetArgs( + subsets=["workarena"], # no need for infeasible action + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + "workarena++": HighLevelActionSetArgs( + subsets=["workarena++"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + # from https://arxiv.org/abs/2307.13854 + "webarena": HighLevelActionSetArgs( + subsets=["webarena"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + # from https://arxiv.org/abs/2401.13649 + "visualwebarena": HighLevelActionSetArgs( + subsets=["visualwebarena"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + "assistantbench": HighLevelActionSetArgs( + subsets=["assistantbench"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), + "weblinx": HighLevelActionSetArgs( + subsets=["weblinx"], + multiaction=False, + strict=False, + retry_with_force=True, + demo_mode="off", + ), +} + +# all benchmarks are callables designed for lazy loading, i.e. `bench = DEFAULT_BENCHMARKS["miniwob_all"]()` +DEFAULT_BENCHMARKS = { + "miniwob": lambda: Benchmark( + name="miniwob", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["miniwob_all"], + is_multi_tab=False, + supports_parallel_seeds=True, + backends=["miniwob"], + env_args_list=make_env_args_list_from_repeat_tasks( + task_list=task_list_from_metadata(metadata=task_metadata("miniwob")), + max_steps=10, + n_repeats=5, + seeds_rng=np.random.RandomState(42), + ), + task_metadata=task_metadata("miniwob"), + ), + "miniwob_tiny_test": lambda: Benchmark( + name="miniwob_tiny_test", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["miniwob_all"], + is_multi_tab=False, + supports_parallel_seeds=True, + backends=["miniwob"], + env_args_list=make_env_args_list_from_repeat_tasks( + task_list=["miniwob.click-dialog", "miniwob.click-checkboxes"], + max_steps=5, + n_repeats=2, + seeds_rng=np.random.RandomState(42), + ), + task_metadata=task_metadata("miniwob"), + ), + "webarena": lambda: Benchmark( + name="webarena", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["webarena"], + is_multi_tab=True, + supports_parallel_seeds=False, + backends=["webarena"], + env_args_list=make_env_args_list_from_repeat_tasks( + task_list=task_list_from_metadata(metadata=task_metadata("webarena")), + max_steps=30, + n_repeats=1, + seeds_rng=np.random.RandomState(42), + ), + task_metadata=task_metadata("webarena"), + ), + "webarena_tiny": lambda: Benchmark( + name="webarena_tiny", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["webarena"], + is_multi_tab=True, + supports_parallel_seeds=False, + backends=["webarena"], + env_args_list=make_env_args_list_from_fixed_seeds( + task_list=[ + "webarena.410", + "webarena.533", + "webarena.537", + "webarena.552", + "webarena.561", + "webarena.562", + ], + max_steps=30, + fixed_seeds=[0], + ), + task_metadata=task_metadata("webarena"), + ), + "visualwebarena_tiny": lambda: Benchmark( + name="visualwebarena_tiny", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["visualwebarena"], + is_multi_tab=True, + supports_parallel_seeds=False, + backends=["visualwebarena"], + env_args_list=make_env_args_list_from_fixed_seeds( + task_list=[ + "visualwebarena.228", + "visualwebarena.263", + "visualwebarena.550", + "visualwebarena.784", + ], + max_steps=30, + fixed_seeds=[0], + ), + task_metadata=task_metadata("visualwebarena"), + ), + "visualwebarena": lambda: Benchmark( + name="visualwebarena", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["visualwebarena"], + is_multi_tab=True, + supports_parallel_seeds=False, + backends=["visualwebarena"], + env_args_list=make_env_args_list_from_repeat_tasks( + task_list=task_list_from_metadata(metadata=task_metadata("visualwebarena")), + max_steps=30, + n_repeats=1, + seeds_rng=np.random.RandomState(42), + ), + task_metadata=task_metadata("visualwebarena"), + ), + "workarena_l1": lambda: Benchmark( + name="workarena_l1", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["workarena"], + is_multi_tab=False, + supports_parallel_seeds=True, + backends=["workarena"], + env_args_list=make_env_args_list_from_workarena_curriculum( + level="l1", + task_category_filter=None, + meta_seed=42, # meta seed for evaluation curriculum + max_steps=15, + curriculum_type="agent", + seeds_l1=10, + ), + task_metadata=task_metadata("workarena"), + ), + "workarena_l2_agent_curriculum_eval": lambda: Benchmark( + name="workarena_l2_agent_curriculum_eval", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["workarena++"], + is_multi_tab=True, + supports_parallel_seeds=True, + backends=["workarena"], + env_args_list=make_env_args_list_from_workarena_curriculum( + level="l2", + task_category_filter=None, + meta_seed=42, # meta seed for evaluation curriculum + max_steps=50, + curriculum_type="agent", + ), + task_metadata=task_metadata("workarena"), + ), + "workarena_l3_agent_curriculum_eval": lambda: Benchmark( + name="workarena_l3_agent_curriculum_eval", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["workarena++"], + is_multi_tab=True, + supports_parallel_seeds=True, + backends=["workarena"], + env_args_list=make_env_args_list_from_workarena_curriculum( + level="l3", + task_category_filter=None, + meta_seed=42, # meta seed for evaluation curriculum + max_steps=50, + curriculum_type="agent", + ), + task_metadata=task_metadata("workarena"), + ), + "assistantbench": lambda: Benchmark( + name="assistantbench", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["assistantbench"], + is_multi_tab=True, + supports_parallel_seeds=True, + backends=["assistantbench"], + env_args_list=make_env_args_list_from_repeat_tasks( + task_list=task_list_from_metadata( + metadata=task_metadata("assistantbench"), filter={"browsergym_split": "valid|test"} + ), + max_steps=30, + n_repeats=1, + seeds_rng=np.random.RandomState(42), + ), + task_metadata=task_metadata("assistantbench"), + ), + "weblinx": lambda: Benchmark( + name="weblinx", + high_level_action_set_args=DEFAULT_HIGHLEVEL_ACTION_SET_ARGS["weblinx"], + is_multi_tab=True, + supports_parallel_seeds=True, + backends=["weblinx"], + env_args_list=make_env_args_list_from_repeat_tasks( + task_list=task_list_from_metadata(metadata=task_metadata("weblinx")), + max_steps=1, + n_repeats=1, + seeds_rng=np.random.RandomState(42), + ), + task_metadata=task_metadata("weblinx"), + ), +} diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/assistantbench.csv b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/assistantbench.csv new file mode 100644 index 0000000000000000000000000000000000000000..7580cad2b70081ad51f545c31b58b71576b60190 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/assistantbench.csv @@ -0,0 +1,215 @@ +task_name,original_id,browsergym_split,difficulty,time_dependency +assistantbench.validation.0,b36ef2d8f2643b80e74a44ce3403f674ecb2aed7fd36afeaa289061a59feef92,valid,Hard,Unlikely +assistantbench.validation.1,a9074997e698f912b9e751779ea19c1e92fa148404e90e0ae997acea3f9559b0,valid,Hard,Unlikely +assistantbench.validation.2,2aa5dd83fbcd0dce9a3dd4592106e5b5edf738008d932e357d477bba80e59ccf,valid,Medium,Static +assistantbench.validation.3,2ddae3b7a208e3c25f14d82d7a1faaaa1832fbf950b4dac345e755c4c361f294,valid,Medium,Static +assistantbench.validation.4,797f7a5b65ca28b7e7156e7db1e9f117bd4a021de0cd512bfdbb0be897d89eab,valid,Hard,Unlikely +assistantbench.validation.5,4e615af6f0348597b4133cc1ec5418bb3f35328e3d95e23a275027cee97b5e09,valid,Hard,Unlikely +assistantbench.validation.6,c7afe00869f98cf363fd83677ac41757ed5e57f03eacc3d1304feb0a92084bd1,valid,Medium,Unlikely +assistantbench.validation.7,57d9dc6935e8a40b02e7f8ec81768fe70e68a0c05f6866927c9fda38db38a486,valid,Hard,Unlikely +assistantbench.validation.8,748899d9d70c09beb3bd48ac8a3658bdcfd2f9114fe6dc4c4b8d2f9541ef4607,valid,Hard,Unlikely +assistantbench.validation.9,9e31099fffa6a3891c94934fd4fc2f3f522d51c1904ff3561f3a10e4bf245821,valid,Medium,Static +assistantbench.validation.10,291b53e665b4dd4365cde995042db4a6f6fecef3fe3a6f4482f23d61bd673918,valid,Hard,Static +assistantbench.validation.11,8fa42360185068216f2919935148d4e1ad28ddc18da0abd0f4bb0b6b6f84b127,valid,Medium,Static +assistantbench.validation.12,3af8028c2a59e28ca88baff0e6d91f2a9f170c5ef91003f1c8406755a2760ad4,valid,Medium,Stable +assistantbench.validation.13,6b06d186921b8b390c65aebd0d16f09f60a47d2f1288ebe36953f734e84c0a3c,valid,Hard,Static +assistantbench.validation.14,9bdca8677af1e25cb7b0c7992dc62670c3e58e4afcd5ae60bcaa2483556bba00,valid,Medium,Unlikely +assistantbench.validation.15,557e78eceec08ca8b0da5f9fdaca6e1c7ec6140a8ce600983ee716327dab005e,valid,Hard,Unlikely +assistantbench.validation.16,fb9ba3ab6a13d0adc677f993e90d54914a5cdf211305a1bba6bf16ec4ccb9b7c,valid,Medium,Stable +assistantbench.validation.17,52f7224e9c79431e7926afe317782711a0028750693e7456cde22ef6f4bd8bd5,valid,Medium,Unlikely +assistantbench.validation.18,0ec4371851b96837b0a81b3dd3df401415061bb532fbafeb4609f3337c358508,valid,Hard,Unlikely +assistantbench.validation.19,6f224e7730ed027cbac73aebb1aea7f954053082041b02b19f4ff126a0a8a208,valid,Hard,Static +assistantbench.validation.20,99da66d8af02491f98b98c56b26c709e773b5a2ad945fb280375951ba600de09,valid,Medium,Unlikely +assistantbench.validation.21,ccec2229ced20a4b0cb4897e3a99120a3017ea030903e01c9bda6b13d40b0b14,valid,Medium,Unlikely +assistantbench.validation.22,9baaa267c95f9d8b75741ee9169c50563d297cfa592c20deaffd30dbc5984c74,valid,Medium,Static +assistantbench.validation.23,6e3be83d1949fa52cba03fb1ce4b5b3bf7e37a83fd7d67694b10b2e439d90cf8,valid,Hard,Unlikely +assistantbench.validation.24,e2dc3a6b10b762e8aba7fa4d4e70f757f6d04dcbc8b56c48fc53fd9928d31d07,valid,Medium,Static +assistantbench.validation.25,f88066d274e265edd6cd9d61cd80a41accb3a14baf2297652fdd05cdf716d455,valid,Hard,Unlikely +assistantbench.validation.26,e6bc98089608217e45b6956a46518fe3cce64a799b3ac43c6974c449ae14c408,valid,Hard,Static +assistantbench.validation.27,8ad84bd6fe38481ba49e7ad1f6fbd43219a999074e5c6fc940003281f55ec65b,valid,Hard,Unlikely +assistantbench.validation.28,55f4258484c5b398956133128a50462a767da211f8f72aa5ac5bbffb9bcbba1a,valid,Hard,Unlikely +assistantbench.validation.29,4dbedc5e1a0205e14b7ff3ba89bce3060dab15d0ada3b7e1351a6f2aa8287aec,valid,Hard,Static +assistantbench.validation.30,929b45f34805280d77c61d1e093e3d4e551d77ddb6ecd73552b12b1af286388d,valid,Hard,Static +assistantbench.validation.31,cca4776df3c73e7f9430a2e624aafad056b14322a0b7ca6c0c22b7e7f3f0890a,valid,Hard,Static +assistantbench.validation.32,efc0f3a47e9ed2ecdbcc037c2093865fe6e39f4d413a5d1ccdc7357160a4606b,valid,Medium,Static +assistantbench.test.0,00505300c5e2055a81f13b097e70c6c17420807397476c173b64be2397963d59,test,,Unlikely +assistantbench.test.1,02f02d5fa279e6db52db4feeacf0e609c59a0b8942c42e6ef7bd250cc9ed6c82,test,,Unlikely +assistantbench.test.2,03738b82119ccb19dafb08482073e72230eac9dc5795c343090513130c3826d5,test,,Unlikely +assistantbench.test.3,093801d638247024e59893033aa8761f45804796a16c91e3cf0209cf083ca13e,test,,Static +assistantbench.test.4,09e4811ec2b99f402f990b4156e50d1406cd5357d9f6e53b5608ebe0054033c8,test,,Static +assistantbench.test.5,0a4b6a5b08ecc0c66441a1b753cf906ab19e161881780a1187a4cb1e4a498d2f,test,,Unlikely +assistantbench.test.6,0badf85df8ca5522b2c456ac0a49752ae19f866253d59f2994bcad0830a4220f,test,,Static +assistantbench.test.7,0be81f1de07ab255d02536becd22bd030f6c5b9feb01a584eeeef8990c7acb54,test,,Stable +assistantbench.test.8,0cc9eaba778ea2e112069e36be0b613a6c854d875bcf827f342b487cfd74379b,test,,Unlikely +assistantbench.test.9,0f017fe70543669ddadf17cb22b2acfd0146e20dd80766fb815df5d9b8ce35c4,test,,Unlikely +assistantbench.test.10,13bde87833425ea94d2d6f1975dd973d53ca0eaddcff2653e778f32c86b687e1,test,,Static +assistantbench.test.11,1c11784ee137592a9b4a259caf0da749af5b983b7a2dbc817a3a9650ee01a7fd,test,,Unlikely +assistantbench.test.12,1d669a5aaef6fe91bfe53025073f4e022687bde4d3a97d6546f0b57f631f1af4,test,,Static +assistantbench.test.13,1f6a23c598211fa0057378e045778b688378c3cbf22ac9deca7b5c392b29767c,test,,Static +assistantbench.test.14,211ace94acd5df42b52ab308ab1d79c3dc81e41cb093cef185ed20f25e9f377a,test,,Unlikely +assistantbench.test.15,23af1c205e19bd90666ec0e78e3566c4358106f3a039d48044fa2fae2dfcd0ac,test,,Static +assistantbench.test.16,23c890f1596f32b5b372ee90217971d7884ade8ee4795c9de43844215a516342,test,,Unlikely +assistantbench.test.17,253e2a8ed662a82223029f97259706fa4f892cb9cecc5b79ab0970679618e4d0,test,,Stable +assistantbench.test.18,295c401c9dd5fa1de8a967d2b96eb9c5507985185e0733637f53c2e9cf255e59,test,,Static +assistantbench.test.19,2987f2915a8642a0a85335c0ca7e5b4e35653aa2a353b020824087c84091a9ba,test,,Unlikely +assistantbench.test.20,2bedecc055920566a97e6f049dc9c722d7a8d46adff62bcb096904e7e3783c04,test,,Static +assistantbench.test.21,2f6a86fe1241c77ed3ea77056cf63868bb7f9dbe7794b36d62d9fa4d8c680328,test,,Static +assistantbench.test.22,3248292a781c4f58507d6b40d32f5110919582722fe6ed6ba97440fd59490a54,test,,Unlikely +assistantbench.test.23,33d880072dc1f1f21b04a7c589056bad18ea97d8c929ee486b74f9fe5ed6620f,test,,Static +assistantbench.test.24,36bdda5550481760bf9280dbe06796126a015d96a792079b3c3efb24d2e03983,test,,Stable +assistantbench.test.25,37932ee7ec5102af355d8c5b8f94e64bb89e6089c2483676a1cfd98597a9adb5,test,,Unlikely +assistantbench.test.26,3940b9ef19e15c72b9f833ad4121c789ae07bf2bdc49bc2197894cc7af6a43d2,test,,Static +assistantbench.test.27,3a680dbb9b820d8875ec5cccd16d763ead31b621d3a58e551f9307baf50cef02,test,,Static +assistantbench.test.28,3d2bd6aebe882442cada9dfe268743f17b6ca4e654d34b3a10a6c4828cba209d,test,,Unlikely +assistantbench.test.29,3f54600c914123f29d029aabef69fceac3e609f8ed26c2d150736576ef177321,test,,Stable +assistantbench.test.30,3f6829e2d43b95c897328c64ee4e6c0c313723bd6420a38e24bfd840cf79eaad,test,,Unlikely +assistantbench.test.31,3f83f3527e48019c0b1596f7a1105c7b4fd2990441c3136a871767f0426167dc,test,,Unlikely +assistantbench.test.32,3fd3575287b5d561a223e201c82e1eefefeee5fdc02a0b181f54253183b4c729,test,,Unlikely +assistantbench.test.33,43cabfa874351f03a6b8e447d662d9f376acaf582d1d4199303ba58fe2cc03b8,test,,Stable +assistantbench.test.34,444b4f5736fb6f4b45acdc39c1fa4d95158523cad8a8b55ce2b38aad1bd93565,test,,Unlikely +assistantbench.test.35,4542278ae4ab7edb463ba6a449f7d2291b61a75a85a143d741e5fbe25ca27c38,test,,Static +assistantbench.test.36,49f1c6a49bd84673eb9de788ea1f0a9216b83ee0e1a050ab23f8ff599ca32fb1,test,,Unlikely +assistantbench.test.37,4c30210ec132db6c5440d5c70e90c609123191ca7955dd9ae1442e105dd3a154,test,,Unlikely +assistantbench.test.38,4d07734efd01f15c99dc05ec4494b25583be6c58010091acd6ae36b83c31f993,test,,Unlikely +assistantbench.test.39,50fc9972c9c6648079b0d6faf13600524f25e597fc809d174c9648854b2dbf2b,test,,Unlikely +assistantbench.test.40,51f052ecf1c129c98cce8736c9b9fc59e49e92ed4cc96c4669aad49b161322f5,test,,Unlikely +assistantbench.test.41,58d01ca60a4efe2bff799b05dc0b46d5efa63d3f404805fe589e4aec167a3726,test,,Stable +assistantbench.test.42,59a6501b90d8412de25f493dd9f8d1d20c8f26eb499c8d29a7ae6f0a03b72ae5,test,,Static +assistantbench.test.43,5ba9e8b81da502edc0c14326e136d3a9f07d1db0b0b4777858e587985bdadc8c,test,,Unlikely +assistantbench.test.44,60471053b55cf40a543c43836604e06a9cb945234336fca18b8e870de75ce465,test,,Static +assistantbench.test.45,63e9716e42b94e69ca651c5d47bdfb39d5dcee02d69f75888726d53a04342cf7,test,,Unlikely +assistantbench.test.46,66acc3396b14969006688548fa70e8ef9806b728c346d5651e83d73c0d29b71f,test,,Unlikely +assistantbench.test.47,673d1fb3de30b88745818a3c6ea520b2d907eb5e3a9be1a3c702518f93ca2330,test,,Static +assistantbench.test.48,6bcc74f4efcbc88707db17396b85b335d66571568c8af5c7087296e9d5f19aa7,test,,Static +assistantbench.test.49,6bd706878a0924bda9acc9548aaf87ed824d828f74573ffc1450403e0cfeaa7a,test,,Static +assistantbench.test.50,6d314f1ddcc63bead76d11776cf41afa6771f46a02ecbcb15df5134fa1dae4d7,test,,Unlikely +assistantbench.test.51,6d94b7d48a2ba111dc739a63de979a26f87e73120a427e42c06b06e46caf8370,test,,Static +assistantbench.test.52,70d36d42a954465962d7fefd8c296cb71643102a05abb19b4b3d41302007d49a,test,,Stable +assistantbench.test.53,72321c1ada24009b2f8d59de25e7244a478789aa1e53644f9f708c7f963a3da6,test,,Unlikely +assistantbench.test.54,75e6d569f9b7236ab603c588f07ce0b9e0026a652416e049be6e9eefcbe0d974,test,,Static +assistantbench.test.55,76256673b444a783821d6d61344a19bed49ab04bd3c5b6677ab0439896898314,test,,Unlikely +assistantbench.test.56,76387637c6194f5e1cc5a0dee312db9428c40bace01eab2f71320b1a85cb84cc,test,,Stable +assistantbench.test.57,776c768209261a861576db65adecc9086fab01c7a8e473abf605af72f3bcabe7,test,,Unlikely +assistantbench.test.58,7820b1bca5d280bced7ddb5fa86625f8703e117587b93dbebbef617b3b2cd3eb,test,,Static +assistantbench.test.59,7c146b20313069f7f2bf4e6ac0c1dbcff5147c872fec2cf19ee6d2646fe00bf4,test,,Unlikely +assistantbench.test.60,7f7e4dbf7f76346e7cbb5a65e6c88a6b5d513f08cf4d3b223bf3e1c75fa1eb61,test,,Unlikely +assistantbench.test.61,7f9db43f0d971dfd710b2246082e292e92edcadecbaf36699a78edf305d26cb9,test,,Unlikely +assistantbench.test.62,8793b8f5678d16282618f68ae9103f3061c9938a228e5a91d73f64541d35bf0e,test,,Unlikely +assistantbench.test.63,87f591cfe2afe9d227a30af862eb358e2d03c2e735a31ec1c3bb8b782a34abc6,test,,Unlikely +assistantbench.test.64,8869b0e92052103b52e240f0e327ee76964d8ad8b24dc3f63fad803f6b491be3,test,,Unlikely +assistantbench.test.65,8a484653d13418c51be95443374468900f81587c3a64c45ce69dc41b93f1fa7a,test,,Unlikely +assistantbench.test.66,8b68fdf29a1fb5bc6426f32633720127908207bed38ea847768488f34bba7d01,test,,Stable +assistantbench.test.67,8cc61c493af8d1850d3d9e1dafd228a38092751221c016f1d4a80c8e0c203e7f,test,,Static +assistantbench.test.68,8d5e7bd76c993d4ed11ce1e9f9430421f0f3b21ed85287e630af1916069a02b2,test,,Static +assistantbench.test.69,8dcaac8e280e3dccd9c46b0515e3a06fee6f4fb12629acace16b9d690d439124,test,,Static +assistantbench.test.70,91bdaec93e3062279545c24c00b7b7a86968f394e3314cd5c9ddf6cb9a1c3199,test,,Unlikely +assistantbench.test.71,926c0629e6704ed354f6811d4b0f4696450ebad578d20af34f3fbead7319c33b,test,,Unlikely +assistantbench.test.72,9288bf0fa0af3a4319215d3a7ada201e604955abaaab06b4a037129d8d3d0e74,test,,Static +assistantbench.test.73,92bfc3abcf4734fbd629ea16f4981e865edd54408543405cefffdbcc6f39dce7,test,,Unlikely +assistantbench.test.74,96d3a0951e0d24a0ccc714e48b2e46ca0505b38d4cd1cf22e77c8717f9cf7461,test,,Static +assistantbench.test.75,970ed6d1930b0389dd99708c4068899281df1c41182fe998f5b67d057701ae38,test,,Stable +assistantbench.test.76,9755e8f9a5ba24a7365c0bed2e27067c597c7bb3903dc917f10fad8529bbe012,test,,Unlikely +assistantbench.test.77,97aa789e49ed7f7b6499e39a5b46d0e41f3aa11758581d18f7a1e125c2065dca,test,,Static +assistantbench.test.78,9e3ec4235b6c1051c566a0b766a59a6c1a4a373eb9be72910bed6ae3da4d74c2,test,,Unlikely +assistantbench.test.79,9e4fac4a33ca217f6b797428d5341a70d9d3b2621019e0268217ab2f056ccc79,test,,Unlikely +assistantbench.test.80,9f08cc39bed76dd23662beca7184617425cb8a0c47ceccd0556e37fee4781f71,test,,Unlikely +assistantbench.test.81,a174cc55d856ff9a5ff10c0b76685a7aea7d1b7a6f9e7abb87f8b75d9949efbc,test,,Static +assistantbench.test.82,a207a5818db3c03bf9f1400b85428f8ad05a0fb7b227c6ef07393c5cd7f326be,test,,Unlikely +assistantbench.test.83,a39700b8c69fa7e30ec892de05945e8dda571259ca746c36729ee785087def3a,test,,Unlikely +assistantbench.test.84,a4b1d901126ac3c788efde74b18afc9ee6966aa4da0c84c38ccab5a7ff42e6e4,test,,Stable +assistantbench.test.85,a52f55bdb417358d2fb250a7a030039f25897678df5bc96382dfbab2e18b3e6c,test,,Static +assistantbench.test.86,a57418553a8732d8fb2bc4030fb965d4685e7a22da843c3d0db15d64be4de4ef,test,,Stable +assistantbench.test.87,a691d6542027faa5c8039d3528e69a495f84d57e412702c6bfd09aef727bac1e,test,,Stable +assistantbench.test.88,a6c33c56ccd59e637ab68d82ddc99edb22df2e032fdbd4e0c1e1b2cb31c8e610,test,,Stable +assistantbench.test.89,a80d8d1a8a045dff028941009335506c4a8077f4004b53087d5ef8686ddf2d3e,test,,Unlikely +assistantbench.test.90,aa50434ca5a1e320cdc3151a97043b16b00b2107fd20db47e0b6e156a21cf43f,test,,Unlikely +assistantbench.test.91,ab6f0eb1dd556e950503d145888f7d21eeefa22aa421f88f0ead8f422c6dbe85,test,,Static +assistantbench.test.92,adfa9c6fd9601bda6e9250f0ebae684d3bc77d8fdace9638ffea55e137f9bf58,test,,Unlikely +assistantbench.test.93,b15021fcee8c19ed15e23866105379e08d21af2ab9901c235b352bbd51eea0ae,test,,Unlikely +assistantbench.test.94,b233fa687d68f68c3778d70913ba037315e4800af8488df27dbb2335e1c88aa7,test,,Static +assistantbench.test.95,b2ee3c2204f67dc77ee4654004e5ceab813f212c7f542de660640383df096e0d,test,,Stable +assistantbench.test.96,b5658515258cbecfe0f862fdf28e64b5152f6414aee2bb3d356ab648537c1c50,test,,Static +assistantbench.test.97,b67e2e2d5d5a4587adf2ff46c272d26bd3671bd49a346cc9f4111bb6e0162e87,test,,Unlikely +assistantbench.test.98,b81702f7d586a35dcd5dcb8de17cf4aefb26676ab95de013462c349e1bcb9557,test,,Unlikely +assistantbench.test.99,b95fc9d59f8c37f984abf5758b60f8c3638185897db4a4ce5ad34f68ef39faca,test,,Unlikely +assistantbench.test.100,ba529e08a377d308e7f739c2520f62f45d284d701ab94646e8212e93e0dcc8c4,test,,Unlikely +assistantbench.test.101,bcb45d84d33f5867afa826d5aee94c6d42aa4a421877d7848006e892407eeef9,test,,Stable +assistantbench.test.102,c15ccf7b3de5e34a196167ad827905955d4ea961a7a1d67c98de7f4566037f71,test,,Static +assistantbench.test.103,c16027bfc0d580a4b3baa94e54daf80a5726e9bee0a7fd13aabc26e0b295abdd,test,,Unlikely +assistantbench.test.104,c24495d0ec872218e4317ffe1e579f9dd7424f12966926f03a9c45a4769c1919,test,,Static +assistantbench.test.105,c2f852f47ad2a4f1059c87f04262911d497d50b42fc17755ffe4c155baf8cdc2,test,,Unlikely +assistantbench.test.106,c68da637f66c9435d7b645297d004e7e655c1b1d8b750447f6a3e43379e5efb9,test,,Static +assistantbench.test.107,c6b119d6bbd30d8e3954e8e0a49a1f968502976a96634288a14378d31fe7c851,test,,Unlikely +assistantbench.test.108,ce3e51789e74e09de03b77fac57c99a8b8d0abff4736ad57a56178836f8ef677,test,,Static +assistantbench.test.109,d0f910100493471e9b96462b788c2faae3b545a200ca86526dd52ef8cbafdff3,test,,Unlikely +assistantbench.test.110,d108631c8c89136fc6d00d10f2916e1e95e4bfd8c65497bacb597dbad0644127,test,,Unlikely +assistantbench.test.111,d5d57f4fd32a505e5392162dd359f9f6e319908538b0d17fe08a9e0f5ae3d51d,test,,Static +assistantbench.test.112,d60cca1cc5d9c44ac6d125b01cff46e98e75be54a61c26f28358b9a00c83a26c,test,,Static +assistantbench.test.113,d8016940a88d4cbbdf271f6390c56a9b259559595db446ab4a5aef2c44c5a5d0,test,,Unlikely +assistantbench.test.114,d8727993c3e8368640d285f7588bd90ec21157b724e3b7524639f9102fde9fb9,test,,Unlikely +assistantbench.test.115,d8c701789b9c31445e71ebcdfc25e99e98ad43b3c2ad20fae4fc5c51e8eb7a3f,test,,Static +assistantbench.test.116,dadb74122ca1f4f2a706c299d53ad1305756c93245540367ba11c98b2198cdf0,test,,Static +assistantbench.test.117,e046e1ecb2d897b10b9355ed6519475acc1fdd27a3731f5e5f4cbc42e43ac1d1,test,,Static +assistantbench.test.118,e22a10e8fa601d27733915fbecde35bcaa9555c68012f56540da0ad19278d331,test,,Stable +assistantbench.test.119,e2ce46cea9c2cd0dd5ed0e6d7a1610ec68bf8c3e9006797416cf6baec19b98e4,test,,Unlikely +assistantbench.test.120,e57a78ec590a586ccb1c9d89189cd4df967286069b62d6057417549399d6b9f0,test,,Stable +assistantbench.test.121,e59613ccac51f917898f10fb0749b97a3e8d984901f28b6f894db9d910f02eef,test,,Stable +assistantbench.test.122,e6501ed8caf105247280c95a2333ffc0bde2a61a65309e69bef9bae8883258df,test,,Unlikely +assistantbench.test.123,ebc09a58d9394084a8f0279d669d73aba3fbf7e8edbd6d386693ee6c5e81cca1,test,,Unlikely +assistantbench.test.124,ebcc923f8ae80c6de586a23b6404a535c588a448a2e7c03a0969fd8e8dfb8e2b,test,,Unlikely +assistantbench.test.125,ecdc2383f4488a541abba98f96a3358690fca9c3efc2f0290e5d7c1ac1867503,test,,Stable +assistantbench.test.126,ee192f50280bec36dfc5d55189fa387e5e132c10bdee78c667f663d5312cbda9,test,,Static +assistantbench.test.127,f042bfc06dd124cc7cc9afd2aa52ed833ebfa52c3bae3960a44b510205339d2a,test,,Unlikely +assistantbench.test.128,f15306770885cb221cf7cd3ec70b9c2392c1203c5b27964d7fb89abc697f744a,test,,Unlikely +assistantbench.test.129,f16dd8c68dcc27ea386f49f8cbb6e46d1c9ede8a8c20b3416ddae1483eb38b09,test,,Unlikely +assistantbench.test.130,f2ad18f19a73373c045005eae481764f38c13e8f64cf0ed90b3397aceb58fefc,test,,Unlikely +assistantbench.test.131,f3fb20397a1201d3e58de4f53e38ffb4dedc090e3c342a6bd558b0a1cba614f5,test,,Unlikely +assistantbench.test.132,f4fc8f368e10632804fd5f9e2d2d0d506dba45cced9f95bd4bdaea114d230289,test,,Static +assistantbench.test.133,f5661ee525eab51c375d0cff9e90f26c96aafd1d887e6b1ec5fb6b15cbd87fb3,test,,Stable +assistantbench.test.134,f5c7873d18ea96a6238d634ba0ce7b1ea6f97f4051505a3ba90ce7f8a3576aa7,test,,Unlikely +assistantbench.test.135,f67d32cf78da634d3768e756b35d764a1e3ff09fc112c908169a9da4a6f84f98,test,,Static +assistantbench.test.136,f69d3a64ae8bedb2ef8f5de93f2d520e36cf1ee10a1f9b51e6124974069f2706,test,,Unlikely +assistantbench.test.137,fc690d6696aff2366deb4a1c06e47234194f0261e4d5cc612008d56a995b5beb,test,,Static +assistantbench.test.138,fcf91c5116e20ee62b4e3f6048840b74656b561a0470efbe092f63b30cf1258b,test,,Static +assistantbench.test.139,0424b13f1c22b6e47f4c78425cdbb39eb2bf047320d75cf25816565e0b41fd25,test,,Stable +assistantbench.test.140,044052ab125aa7ed35c4fb10696343579271406b0f65b4575392215f6ee3f641,test,,Static +assistantbench.test.141,08ee947e090b200813e4bd343f2520bb7f00488c2dc445e884a50d98594ac862,test,,Static +assistantbench.test.142,0c354eb213bf907ac34070d6487bbe81f19b5e8c1a0f0734089cf6dc6f3d233d,test,,Stable +assistantbench.test.143,101edfc8d8c9912af10e624f36c1a6936cd542c52bfab81efe739cdc9dff6e21,test,,Static +assistantbench.test.144,1a0f1343f6e98b50b917d06e60afdaf9200ab74929b2972bf5212df2d5b15187,test,,Static +assistantbench.test.145,1c19711ea4234efd73f43f659729d7dae8219200e6145886e2d24ed256ceb5c6,test,,Stable +assistantbench.test.146,35d9cdcde8a6ebe15a149b8243cde068677f2c3a15e9633b6ea14f71f7137dd0,test,,Static +assistantbench.test.147,3b9b30d3d138413bd8f39eae7c6bcdf10cc09fe76c003c36ef7c00db90058995,test,,Static +assistantbench.test.148,491baea240075e656d514bf13d8c626a9d0481c9ecf2aba65d0c5529dea147a3,test,,Stable +assistantbench.test.149,5a51e05719b356ab3597aa50e3d057eb67ef3530fd2092fac0eaabd4b343bea4,test,,Static +assistantbench.test.150,5cf78b0b055bf7eeb908733cb0e55b358b1528474529a28f22157bf6679886c3,test,,Static +assistantbench.test.151,6689e6704ab8ed0342f743ff39cde31b5f0a4e5c2b3bb2433297d4dc98f68740,test,,Static +assistantbench.test.152,691fe10f8d4591afebc7b0e7a3deee0110228e963860190fdafe547c92016901,test,,Static +assistantbench.test.153,6fe7c0ab1c913049f5df7a9f7d08b0c52aa64f6c6c4b7e072dec7430ca359f72,test,,Stable +assistantbench.test.154,79c3314323758e2993a66e3d7d96bafd3bdc4c8aca1d45331bf0af383d115cc0,test,,Static +assistantbench.test.155,7ad7df047c75ac3a018164d324c9e3d2883a714e0717c971f1790d8342826ede,test,,Static +assistantbench.test.156,8339e24137e11ee7f32860160a178fceed447a396340c0e78cca077342a2be67,test,,Static +assistantbench.test.157,85b57e54837272d56c15f08f96d94f1d9d20cc3c3865b0e61fcdad6f4ac64b99,test,,Static +assistantbench.test.158,8905eaca3a6d15357a43fd6b865a86bf37f3b8d53a3beac8f72fe70d6d22cac9,test,,Static +assistantbench.test.159,8d0987af49f3c27e6ef32560bf1b15cbe1bcc7aef2e4a87aae6e4e023aed9b45,test,,Static +assistantbench.test.160,93561818306180f8698c6eb458b1c7caa83fbe70773ad53671558ec45c84876f,test,,Stable +assistantbench.test.161,a5511d3db1c395d7afeef42673a3e879e23a15724d5b6f82ea09455802a15a77,test,,Static +assistantbench.test.162,a81ef982012db796f00201a00e481095125d1c5f69e4ff42600d5fdd21f1f5f4,test,,Stable +assistantbench.test.163,b2205067ed4642bd95a20615545208c02c2498f4abc1706b0f990db2bec322bf,test,,Stable +assistantbench.test.164,be5c2371a2179ae4da25f29a1e1f1443094073e81e933ec558dd92cb62344d7b,test,,Static +assistantbench.test.165,c5c3d63fe2f2ec781aa73cad6f0be6936ef24847fca348277757262f4eb55ab6,test,,Static +assistantbench.test.166,c8f38296bd5974997bd23297d0766b26b7f1d8c92a84ff42099e01c1775f431c,test,,Static +assistantbench.test.167,cfc177dec35af2101aa17b0c324750cb72da7191e698403cceb7e5658eb34b5b,test,,Static +assistantbench.test.168,d10a3eeabe14c9f44b7a65225bcd8f505af96040fa53f846747a942208334993,test,,Static +assistantbench.test.169,d3e4a7ef9d623ed2fafe06c1937a8bdc20d361c084820e151bd6c3dceebf5dcf,test,,Static +assistantbench.test.170,d983c69d1a9b88ca3e4b9648ecb4506ae18bb185b761d064729645180dd96e60,test,,Static +assistantbench.test.171,dfac84ded5eac1752ebb305283798fee70bd8458cf1a65dbadebe2dfbdb4f5e2,test,,Static +assistantbench.test.172,e4a7fe2433ca2ace294e0bd52db091235ca7353332420203da1b695d07bc54fa,test,,Static +assistantbench.test.173,e51bca317cc7dfd2ddb2c462704ff3e83330ecc51b67b0b2284e0ea88d792f10,test,,Static +assistantbench.test.174,e54171e7ef59310ae782ad3555be003cdda83b1c07103c0da97b4d16a5559a1f,test,,Static +assistantbench.test.175,e7bcaaf48effbe281663cc76b4a72cbdbafc8dab9f25d8cc0cd746f8af1a5c77,test,,Static +assistantbench.test.176,eefe2359b1f4cd0f3dae302db7a4fee6249b8dc5562ac5b80fd07339abfc6100,test,,Static +assistantbench.test.177,efa10fe10864192ed4b6fa9fd159b1291de7234d9eb72cd634441a167ab0577f,test,,Stable +assistantbench.test.178,f508fd3078da20d51d4ae2bc5899a0127cbbf6723af48aa69672d56b5c330b9c,test,,Static +assistantbench.test.179,f94fa0a81aedde2ba39236a7f64988dbfa92a41a19f26f0caca81f55404de8ce,test,,Static +assistantbench.test.180,fa51a77611c4e13058d24aa0c693458380d5bc3b34d6cd2cdd074920e86fa45d,test,,Stable diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/miniwob.csv b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/miniwob.csv new file mode 100644 index 0000000000000000000000000000000000000000..ac52b19f4e262295f4a9dfeed4d5a490e0c47a6d --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/miniwob.csv @@ -0,0 +1,126 @@ +task_name,miniwob_category,comment,webgum_subset,similarity_group,browsergym_split +miniwob.ascending-numbers,hidden test,,False,0,test +miniwob.bisect-angle,original,,False,1,test +miniwob.book-flight,original,delay,True,2,train +miniwob.book-flight-nodelay,nodelay,,False,2,train +miniwob.buy-ticket,hidden test,,False,3,train +miniwob.choose-date,original,delay,True,4,train +miniwob.choose-date-easy,debug,delay,True,4,train +miniwob.choose-date-medium,debug,delay,True,4,train +miniwob.choose-date-nodelay,nodelay,,False,4,train +miniwob.choose-list,original,,True,5,test +miniwob.circle-center,original,,False,6,train +miniwob.click-button,original,,True,7,test +miniwob.click-button-sequence,original,,True,8,test +miniwob.click-checkboxes,original,,True,9,train +miniwob.click-checkboxes-large,additional,,True,9,train +miniwob.click-checkboxes-soft,additional,,True,9,train +miniwob.click-checkboxes-transfer,additional,,True,9,train +miniwob.click-collapsible,original,delay,True,10,train +miniwob.click-collapsible-2,original,delay,True,10,train +miniwob.click-collapsible-2-nodelay,nodelay,,False,10,train +miniwob.click-collapsible-nodelay,nodelay,,False,10,train +miniwob.click-color,original,,True,11,test +miniwob.click-dialog,original,,True,12,train +miniwob.click-dialog-2,original,,True,12,train +miniwob.click-link,original,,True,13,test +miniwob.click-menu,original,,True,14,test +miniwob.click-menu-2,original,,False,14,test +miniwob.click-option,original,,True,15,train +miniwob.click-pie,original,delay,True,16,test +miniwob.click-pie-nodelay,nodelay,,False,16,test +miniwob.click-scroll-list,original,,True,17,test +miniwob.click-shades,original,,True,18,train +miniwob.click-shape,original,,True,19,test +miniwob.click-tab,original,,True,20,test +miniwob.click-tab-2,original,,True,21,test +miniwob.click-tab-2-easy,debug,,False,21,test +miniwob.click-tab-2-hard,additional,,True,21,test +miniwob.click-tab-2-medium,debug,,False,21,test +miniwob.click-test,original,,True,22,test +miniwob.click-test-2,original,,True,23,train +miniwob.click-test-transfer,debug,,False,23,train +miniwob.click-widget,original,,True,24,test +miniwob.copy-paste,original,,False,25,test +miniwob.copy-paste-2,original,,False,25,test +miniwob.count-shape,original,,True,26,train +miniwob.count-sides,original,,False,27,test +miniwob.daily-calendar,hidden test,,False,28,train +miniwob.drag-box,original,,False,29,train +miniwob.drag-circle,original,,False,30,test +miniwob.drag-cube,original,,False,31,test +miniwob.drag-items,original,,False,32,train +miniwob.drag-items-grid,original,,False,33,test +miniwob.drag-shapes,original,,False,29,train +miniwob.drag-shapes-2,hidden test,,False,29,train +miniwob.drag-single-shape,hidden test,,False,34,train +miniwob.drag-sort-numbers,original,,False,32,train +miniwob.draw-circle,hidden test,,False,35,train +miniwob.draw-line,hidden test,,False,36,train +miniwob.email-inbox,original,,True,37,test +miniwob.email-inbox-delete,debug,,False,37,test +miniwob.email-inbox-forward,debug,,False,37,test +miniwob.email-inbox-forward-nl,additional,,True,37,test +miniwob.email-inbox-forward-nl-turk,additional,,True,37,test +miniwob.email-inbox-important,debug,,False,37,test +miniwob.email-inbox-nl-turk,additional,,True,37,test +miniwob.email-inbox-noscroll,debug,,False,37,test +miniwob.email-inbox-reply,debug,,False,37,test +miniwob.email-inbox-star-reply,debug,,False,37,test +miniwob.enter-date,original,,True,38,train +miniwob.enter-password,original,,True,38,train +miniwob.enter-text,original,,True,38,train +miniwob.enter-text-2,original,,False,38,train +miniwob.enter-text-dynamic,original,,True,38,train +miniwob.enter-time,original,,True,38,train +miniwob.find-greatest,hidden test,,False,39,test +miniwob.find-midpoint,original,,False,40,train +miniwob.find-word,original,,False,41,test +miniwob.focus-text,original,,True,42,train +miniwob.focus-text-2,original,,True,42,train +miniwob.form-sequence,hidden test,,False,43,train +miniwob.form-sequence-2,hidden test,,False,44,test +miniwob.form-sequence-3,hidden test,,False,45,test +miniwob.generate-number,hidden test,,False,46,test +miniwob.grid-coordinate,original,,True,47,test +miniwob.guess-number,original,,True,48,test +miniwob.highlight-text,original,,False,49,test +miniwob.highlight-text-2,original,,False,49,test +miniwob.hot-cold,hidden test,,False,50,test +miniwob.identify-shape,original,,True,51,train +miniwob.login-user,original,,True,52,train +miniwob.login-user-popup,additional,,True,52,train +miniwob.multi-layouts,additional,,True,53,train +miniwob.multi-orderings,additional,,True,53,train +miniwob.navigate-tree,original,,True,54,train +miniwob.number-checkboxes,original,,False,55,test +miniwob.odd-or-even,hidden test,,False,56,train +miniwob.order-food,hidden test,,False,57,test +miniwob.phone-book,hidden test,,False,58,test +miniwob.read-table,original,,False,59,train +miniwob.read-table-2,original,,False,59,train +miniwob.resize-textarea,original,,False,60,test +miniwob.right-angle,original,,False,61,test +miniwob.scroll-text,original,,False,62,test +miniwob.scroll-text-2,original,,False,62,test +miniwob.search-engine,original,,True,63,train +miniwob.sign-agreement,hidden test,,False,64,test +miniwob.simple-algebra,original,,False,65,test +miniwob.simple-arithmetic,original,,False,65,test +miniwob.social-media,original,,True,66,test +miniwob.social-media-all,additional,,True,66,test +miniwob.social-media-some,additional,,True,66,test +miniwob.stock-market,hidden test,delay,False,67,test +miniwob.terminal,original,,False,68,test +miniwob.text-editor,original,,False,69,train +miniwob.text-transform,original,,False,70,train +miniwob.tic-tac-toe,original,,True,71,test +miniwob.unicode-test,debug,,False,72,train +miniwob.use-autocomplete,original,delay,True,73,train +miniwob.use-autocomplete-nodelay,nodelay,,False,73,train +miniwob.use-colorwheel,original,,False,74,train +miniwob.use-colorwheel-2,original,,False,74,train +miniwob.use-slider,original,,False,75,train +miniwob.use-slider-2,original,,False,75,train +miniwob.use-spinner,original,,True,76,test +miniwob.visual-addition,original,,False,77,train diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/scripts.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/scripts.py new file mode 100644 index 0000000000000000000000000000000000000000..67253a8cad7712bfe0974dfdb8612ef2c2f4a4fa --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/scripts.py @@ -0,0 +1,161 @@ +import importlib.resources +import json + +import numpy as np + +from browsergym.experiments.benchmark import task_metadata + +# for posterity + + +def print_metadata_workarena(): + from browsergym.workarena import ( + AGENT_CURRICULUM_L2, + AGENT_CURRICULUM_L3, + TASK_CATEGORY_MAP, + ) + + metadata = [("task_name", "level", "category")] + + for task_name, category in TASK_CATEGORY_MAP.items(): + metadata.append((task_name, "l1", category)) + + for category, items in AGENT_CURRICULUM_L2.items(): + for task_set in items["buckets"]: + for task in task_set: + metadata.append((task.get_task_id(), "l2", category)) + + for category, items in AGENT_CURRICULUM_L3.items(): + for task_set in items["buckets"]: + for task in task_set: + metadata.append((task.get_task_id(), "l3", category)) + + print("\n".join([",".join(x) for x in metadata])) + + +def print_metadata_webarena(): + + import webarena + + metadata = [ + ( + "task_name", + "requires_reset", + "sites", + "eval_types", + ) + ] + all_configs_str = importlib.resources.files(webarena).joinpath("test.raw.json").read_text() + all_configs = json.loads(all_configs_str) + for task in all_configs: + metadata.append( + ( + f"webarena.{task['task_id']}", + str(task["require_reset"] == True), + " ".join(task["sites"]), + " ".join(task["eval"]["eval_types"]), + ) + ) + + print("\n".join([",".join(x) for x in metadata])) + + +def print_metadata_visualwebarena(): + import visualwebarena + + metadata = [ + ( + "task_name", + "requires_reset", + "sites", + "reasoning_difficulty", + "visual_difficulty", + "overall_difficulty", + "eval_types", + ) + ] + + all_configs_str = ( + importlib.resources.files(visualwebarena).joinpath("test_raw.json").read_text() + ) + all_configs = json.loads(all_configs_str) + for task in all_configs: + metadata.append( + ( + f"visualwebarena.{task['task_id']}", + str(task["require_reset"] == True), + " ".join(task["sites"]), + task["reasoning_difficulty"], + task["visual_difficulty"], + task["overall_difficulty"], + " ".join(task["eval"]["eval_types"]), + ) + ) + + print("\n".join([",".join(x) for x in metadata])) + + +def print_miniwob_train_test_splits(): + metadata = task_metadata("miniwob") + + groups = metadata["similarity_group"] + group_counts = groups.value_counts(sort=False) + + group_counts = dict({group: count for group, count in zip(group_counts.index, group_counts)}) + + free_groups = set(group_counts.keys()) + train_groups = set() + test_groups = set() + rng = np.random.RandomState(1337) + + # slack for train / test size equality + slack = sum(group_counts.values()) % 2 + + def move_random_group(from_groups: set, to_groups: set): + # pick uniformly among tasks (weighted sampling among groups) + probs = np.asarray([float(group_counts[group]) for group in from_groups]) + probs = probs / probs.sum() + # sample a group + group = rng.choice(list(from_groups), size=1, p=probs)[0] + # move between sets + to_groups.add(group) + from_groups.remove(group) + # return group for information + return group + + done = False + while not done: + n_train = sum([group_counts[group] for group in train_groups]) + n_test = sum([group_counts[group] for group in test_groups]) + + print(f"train/test split: {n_train} <> {n_test}") + + # growing phase + if free_groups: + if n_train < n_test: + group = move_random_group(from_groups=free_groups, to_groups=train_groups) + print(f"adding {group} to train") + else: + group = move_random_group(from_groups=free_groups, to_groups=test_groups) + print(f"adding {group} to test") + + # group switching phase + elif n_train < n_test - slack: + group = move_random_group(from_groups=test_groups, to_groups=train_groups) + print(f"switching {group} from test to train") + elif n_test < n_train - slack: + group = move_random_group(from_groups=train_groups, to_groups=test_groups) + print(f"switching {group} from train to test") + + # done (equilibrium) + else: + print("equilibrium") + done = True + + print() + + metadata["browsergym_split"] = metadata["similarity_group"].apply( + lambda group: "train" if group in train_groups else "test" if group in test_groups else "" + ) + + print(metadata.to_csv(index=False)) diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/utils.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..6c4f84bdb808c1c4a3ff1efda273332774396020 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/utils.py @@ -0,0 +1,154 @@ +import io +import pkgutil +from collections import defaultdict +from copy import deepcopy +from typing import Any, Optional + +import pandas as pd + +from browsergym.experiments.loop import EnvArgs + + +def task_metadata(benchmark_name: str): + return task_metadata_from_csv( + io.StringIO(pkgutil.get_data(__name__, f"{benchmark_name}.csv").decode("utf-8")) + ) + + +def task_metadata_from_csv(filepath): + return pd.read_csv(filepath).fillna("") + + +def task_list_from_metadata(metadata: pd.DataFrame, filter: dict[str, str] = {}): + df = metadata + # filter the desired columns (AND filter) + for col_name, regex in filter.items(): + col_filter = df[col_name].astype(str).str.contains(regex, regex=True) + df = df[col_filter] + # return only the task names + return list(df["task_name"]) + + +def build_full_task_dependency_graph_from_metadata( + task_metadata: pd.DataFrame, +) -> tuple[dict[str, list[str]], dict[str, list[str]]]: + if "depends_on" not in task_metadata.columns: + raise ValueError( + 'task metadata column "depends_on" is required to compute task dependencies.' + ) + + graph_parents = { + task_name: depends_on.split() + for task_name, depends_on in zip(task_metadata["task_name"], task_metadata["depends_on"]) + } + + return graph_parents + + +def extract_graph_children(parents: dict[Any, list[Any]]): + # start with empty children + children = {task_name: [] for task_name in parents.keys()} + # build children sets iteratively + for child, parents in parents.items(): + for parent in parents: + children[parent].append(child) + return children + + +def extract_sparse_task_dependency_graph_from_subset( + task_subset: list[str], + parents: dict[str, list[str]], + children: Optional[dict[str, list[str]]] = None, + return_children: bool = False, +) -> tuple[dict[str, list[str]], dict[str, list[str]]]: + + if children is None: + children = extract_graph_children(parents) + + # consistency check + assert all([task in parents for task in task_subset]) + assert all([task in children for task in task_subset]) + + # copy the graph + subgraph_parents = deepcopy(parents) + subgraph_children = deepcopy(children) + + # prune the graph (node contraction) + for task_name in parents.keys(): + # if task is not present in the target task subset, drop its node + if task_name not in task_subset: + # connect node's children to node's parents + for child in subgraph_children[task_name]: + subgraph_parents[child].remove(task_name) + subgraph_parents[child].extend(subgraph_parents[task_name]) + # connect node's parents to node's children + for parent in subgraph_parents[task_name]: + subgraph_children[parent].remove(task_name) + subgraph_children[parent].extend(subgraph_children[task_name]) + # remove node + del subgraph_parents[task_name] + del subgraph_children[task_name] + + # return parent and (optionally) children mappings + if return_children: + return subgraph_parents, subgraph_children + + return subgraph_parents + + +def build_env_args_dependency_graphs( + env_args_list: list[EnvArgs], + task_dependencies: dict[str, list[str]], + supports_parallel_seeds: bool, +) -> list[dict[int, list[int]]]: + """ + Returns a list of dependency graphs to be executed sequentially, typically with a full instance reset in-between. + Ideally, a job scheduler should connect these graphs by injecting a reset task in-between each, which depends on all previous tasks being completed. + """ + # build mapping from tasks to run subsets (task_name -> list of env_args_list indices) + task_runs = defaultdict(list) + for i, env_args in enumerate(env_args_list): + task_runs[env_args.task_name].append(i) + task_runs = dict(task_runs) + + # consistency check + assert all([task in task_dependencies for task in task_runs.keys()]) + + # divide same-task runs into distinct splits if needed + task_runs_splits = [] + if supports_parallel_seeds: + # if parallel task runs over seeds is supported, do not split + task_runs_splits.append(task_runs) + else: + # else, split runs so that each task has only one run (seed) in each split + while task_runs: + # extract first task run only (one seed per task) + split = {task_name: [runs.pop(0)] for task_name, runs in task_runs.items()} + task_runs_splits.append(split) + # update task list to only those with remaining runs (seeds) + task_runs = {task_name: runs for task_name, runs in task_runs.items() if runs} + + # recover the parent and child mappings of the task dependency graph + task_parents = task_dependencies + task_children = extract_graph_children(task_parents) + + # for each split, build the task dependency subgraph (task_name nodes), then build the run dependency graph (env_args index nodes) + run_parents_split = [] + for split in task_runs_splits: + # build the task dependency graph (task_name nodes) + split_task_names = list(split.keys()) + split_task_parents = extract_sparse_task_dependency_graph_from_subset( + task_subset=split_task_names, + parents=task_parents, + children=task_children, + ) + # then, build the run dependency graph (env_args index nodes) + split_run_parents = defaultdict(list) + for task_name, runs in split.items(): + parent_tasks_runs = sum([split[parent] for parent in split_task_parents[task_name]], []) + for run in runs: + split_run_parents[run].extend(parent_tasks_runs) + split_run_parents = dict(split_run_parents) + run_parents_split.append(split_run_parents) + + return run_parents_split diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/visualwebarena.csv b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/visualwebarena.csv new file mode 100644 index 0000000000000000000000000000000000000000..44ff2b23c2fc5e8542d359d3e899c1c640d5f535 --- /dev/null +++ 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a/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/webarena.csv b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/webarena.csv new file mode 100644 index 0000000000000000000000000000000000000000..b263a22d41d9dfd917be4eed4ee1a127753129e5 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/benchmark/metadata/webarena.csv @@ -0,0 +1,813 @@ +task_name,requires_reset,sites,eval_types,task_id,browsergym_split,depends_on +webarena.0,False,shopping_admin,string_match,0,train, +webarena.1,False,shopping_admin,string_match,1,test,webarena.0 +webarena.2,False,shopping_admin,string_match,2,train,webarena.1 +webarena.3,False,shopping_admin,string_match,3,test,webarena.2 +webarena.4,False,shopping_admin,string_match,4,train,webarena.3 +webarena.5,False,shopping_admin,string_match,5,train,webarena.4 +webarena.6,False,shopping_admin,string_match,6,test,webarena.5 +webarena.7,False,map,string_match,7,train, 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+1,282 @@ +import logging +import multiprocessing as mp +import os +import traceback +import typing +from typing import Literal + +import numpy as np + +from browsergym.experiments.loop import SEED_MAX, EnvArgs + +logger = logging.getLogger(__name__) + + +def make_env_args_list_from_workarena_curriculum( + level: Literal["l1", "l2", "l3"], + task_category_filter: str, + meta_seed: int, + max_steps: int, + curriculum_type: Literal["human", "agent"], + seeds_l1: int = 10, +): + """ + Returns a WorkArena predefined task curriculum (e.g., task and seed combination). + """ + assert level in ("l1", "l2", "l3") + assert curriculum_type in ("human", "agent") + + env_args_list = [] + + # dynamic import + from browsergym.workarena import get_all_tasks_agents + + all_task_tuples = get_all_tasks_agents( + filter=f"{level}.{task_category_filter}" if task_category_filter else level, + meta_seed=meta_seed, + is_agent_curriculum=(curriculum_type == "agent"), + n_seed_l1=seeds_l1, + ) + + for task, seed in all_task_tuples: + task_name = task.get_task_id() + env_args_list.append(EnvArgs(task_name=task_name, task_seed=seed, max_steps=max_steps)) + + return env_args_list + + +def make_env_args_list_from_repeat_tasks( + task_list: list[str], max_steps: int, n_repeats: int, seeds_rng: np.random.RandomState +): + """ + Generates a list of `len(task_list)` time `n_repeats` environments arguments, using randomly generated seeds. + """ + env_args_list = [] + for task in task_list: + for seed in seeds_rng.randint(low=0, high=SEED_MAX, size=n_repeats): + env_args_list.append( + EnvArgs( + task_name=task, + task_seed=int(seed), + max_steps=max_steps, + headless=True, + record_video=False, + wait_for_user_message=False, + viewport=None, + slow_mo=None, + storage_state=None, + task_kwargs=None, + ) + ) + + return env_args_list + + +def make_env_args_list_from_fixed_seeds( + task_list: list[str], max_steps: int, fixed_seeds: list[int], n_repeats: int = 1 +): + """ + Generates a list of `len(task_list)` time `n_repeats` environments arguments, using randomly generated seeds. + """ + env_args_list = [] + for task in task_list: + for seed in fixed_seeds: + for _ in range(n_repeats): + env_args_list.append( + EnvArgs( + task_name=task, + task_seed=int(seed), + max_steps=max_steps, + headless=True, + record_video=False, + wait_for_user_message=False, + viewport=None, + slow_mo=None, + storage_state=None, + task_kwargs=None, + ) + ) + + return env_args_list + + +def prepare_backend(backend: str): + match backend: + case "miniwob": + # register environments + import browsergym.miniwob + + # check setup + browsergym.miniwob.environment_variables_precheck() + + case "webarena": + # register environments + import browsergym.webarena + + # full reset the instance (requires environment variables properly set up) + from browsergym.webarena.instance import WebArenaInstance + + default_instance = WebArenaInstance() + default_instance.full_reset() + + logging.info( + f"Initiating WebArena instance warm-up. Some tasks will be pre-loaded (massaged) to trigger some caching mechanisms and make the server more responsive." + ) + massage_tasks( + [ + f"webarena.{id}" + for id in [ + 410, # reddit + 533, # gitlab + 561, # gitlab wiki + 562, # gitlab reddit + 574, # shopping + 640, # reddit + 680, # shopping_admin + 740, # wiki map + ] + ] + ) + + case "visualwebarena": + # register environments + import browsergym.visualwebarena + + # full reset the instance (requires environment variables properly set up) + from browsergym.visualwebarena.instance import VisualWebArenaInstance + + default_instance = VisualWebArenaInstance() + default_instance.full_reset() + + logging.info( + f"Initiating VisualWebArena instance warm-up. Some tasks will be pre-loaded (massaged) to trigger some caching mechanisms and make the server more responsive." + ) + massage_tasks( + [ + f"visualwebarena.{id}" + for id in [ + 0, # classifieds + 33, # classifieds + 555, # shopping + 666, # shopping + 282, # __REDDIT__/f/dataisbeautiful + 305, # __REDDIT__/f/memes/new + 314, # __REDDIT__/f/mildlyinteresting + 317, # __REDDIT__/f/Art/active + 318, # __REDDIT__/f/consoles + 319, # __REDDIT__/f/EarthPorn + 410, # __REDDIT__/f/food + 411, # __REDDIT__/f/food + 427, # __REDDIT__/f/EarthPorn + 436, # __REDDIT__/f/Art + 440, # __REDDIT__/f/EarthPorn + ] + ] + ) + + case "workarena": + # register environments + import browsergym.workarena + + # check server status + from browsergym.workarena.instance import SNowInstance + + default_instance = SNowInstance() + default_instance.check_status() + + case "assistantbench": + # register environments + import browsergym.assistantbench + + case "weblinx": + # register environments + import weblinx_browsergym + + # pre-download all weblinx files + cache_dir = os.environ.get("BROWSERGYM_WEBLINX_CACHE_DIR", None) + + assert ( + cache_dir + ), f"Environment variable BROWSERGYM_WEBLINX_CACHE_DIR is missing or empty, required to prepare the weblinx backend." + + all_tasks = [] + for split in ("train", "valid", "test_iid"): + all_tasks.extend(weblinx_browsergym.list_tasks(split=split, cache_dir=cache_dir)) + demo_ids = weblinx_browsergym.get_unique_demo_ids(tasks=all_tasks) + weblinx_browsergym.download_and_unzip_demos(demo_ids=demo_ids, cache_dir=cache_dir) + + case _: + raise NotImplementedError(f"Unknown benchmark backend {repr(backend)}") + + +def massage_tasks(task_ids: list[str], max_retries: int = 1, timeout: int = 60): + for i, task_id in enumerate(task_ids): + logger.info(f"Massaging task {i + 1} / {len(task_ids)}: {task_id}") + for retries in range(max_retries + 1): + outcome, err_msg = massage_task_within_subprocess(task_id=task_id, timeout=timeout) + if outcome == "success": + break + if retries < max_retries: + logger.info( + f"Massage resulted in {outcome}, retrying ({retries + 1} / {max_retries} retries)" + ) + else: + logger.warning( + f"Massage unsuccessful after {retries} retries, skipping. Last error message: {err_msg}" + ) + + +def run_massage(outcome_queue: mp.Queue, task_id: str): + import gymnasium as gym + + gym_id = f"browsergym/{task_id}" + env = gym.make(gym_id) + no_action = "noop()" + # check if action space exists and is compatible with "noop()" + try: + env.unwrapped.action_mapping(no_action) + except: + no_action = "" # fallback plan + # run massage + try: + env.reset() # task setup + env.step(no_action) # task validation + env.step(no_action) # task validation again + outcome = "success", None + except Exception as e: + outcome = "exception", traceback.format_exception(e) + finally: + env.close() + outcome_queue.put(outcome) + + +def massage_task_within_subprocess( + task_id: str, timeout: int, kill_timeout: int = 10 +) -> typing.Tuple[str, str]: + """Massages a BrowserGym task (reset, noop, noop) inside a subprocess to monitor execution + times and kill the process after a timeout. + + Returns: an (outcome, err_msg) tuple. + - outcome: the outcome of the massage, one of 'success', 'exception' or 'timeout'. + - err_msg: error message if any, or None. + """ + + queue = mp.Queue() + process = mp.Process(target=run_massage, args=(queue, task_id)) + process.start() + process.join(timeout=timeout) + + if process.is_alive(): + # if the process is still alive after the timeout + outcome = "timeout", f"Timeout {timeout} seconds exceeded" + process.kill() + process.join(timeout=kill_timeout) + if process.is_alive(): + # if the process is still alive after the kill + logger.warning( + f"Massage sub-process still alive {kill_timeout} seconds after kill(), you might have a zombie process now." + ) + else: + outcome = queue.get_nowait() + + return outcome diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/loop.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/loop.py new file mode 100644 index 0000000000000000000000000000000000000000..22c5d924d681b12d9656cfd11328ea6799789f9a --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/loop.py @@ -0,0 +1,969 @@ +import copy +import gzip +import importlib.metadata +import json +import logging +import os +import pickle +import re +import sys +import time +import traceback +import uuid +from abc import ABC, abstractmethod +from collections import defaultdict +from dataclasses import asdict, dataclass, field, is_dataclass +from datetime import datetime +from pathlib import Path +from typing import Optional + +import gymnasium as gym +import numpy as np +from dataclasses_json import DataClassJsonMixin +from PIL import Image +from tqdm import tqdm + +from browsergym.core.action.parsers import highlevel_action_parser +from browsergym.core.chat import Chat + +from .agent import Agent +from .utils import count_messages_token, count_tokens + +logger = logging.getLogger(__name__) + +SEED_MAX = 2 ^ 32 # arbitrary max value (exclusive), seems large enough + + +@dataclass +class EnvArgs(DataClassJsonMixin): + task_name: str + task_seed: Optional[int] = None + max_steps: Optional[int] = None + headless: bool = True + record_video: bool = False + wait_for_user_message: bool = False + viewport: Optional[dict] = None # use default value from BrowserGym + slow_mo: Optional[int] = None # use default value from BrowserGym + storage_state: Optional[str | Path | dict] = None + task_kwargs: Optional[dict] = None # use default value from BrowserGym + + def make_env(self, action_mapping, exp_dir, exp_task_kwargs: dict = {}): + """ + Instantiates the BrowserGym environment corresponding to the arguments (with some tweaks). + + Args: + action_mapping: overrides the action mapping of the environment. + exp_dir: will set some environment parameters (e.g., record_video_dir) with respect to the directory where the experiment is running. + exp_task_kwargs: use with caution! Will override task parameters to experiment-specific values. Useful to set different server configs for different experiments, or output file paths within the experiment's folder (e.g., assistantbench). + """ + extra_kwargs = {} + if self.record_video: + extra_kwargs["record_video_dir"] = exp_dir + if self.viewport: + extra_kwargs["viewport"] = self.viewport + if self.slow_mo is not None: + extra_kwargs["slow_mo"] = self.slow_mo + if self.storage_state: + extra_kwargs["pw_context_kwargs"] = {"storage_state": self.storage_state} + if self.task_kwargs is not None: + extra_kwargs["task_kwargs"] = self.task_kwargs + if exp_task_kwargs: + extra_kwargs["task_kwargs"] = extra_kwargs.get("task_kwargs", {}) | exp_task_kwargs + + # assistantbench hack, write the task output (agent prediction) to a file in the experiment's directory + # TODO: find a better way to deal with this + if self.task_name.startswith("assistantbench.test"): + extra_kwargs["task_kwargs"] = extra_kwargs.get("task_kwargs", {}) | { + "output_file": exp_dir / "assistantbench-prediction.json" + } + + return gym.make( + _get_env_name(self.task_name), + disable_env_checker=True, + max_episode_steps=self.max_steps, + headless=self.headless, + wait_for_user_message=self.wait_for_user_message, + action_mapping=action_mapping, # action mapping is provided by the agent + **extra_kwargs, + ) + + +@dataclass +class AbstractAgentArgs(ABC): + """A template class that defines the required signature of an agent's arguments.""" + + agent_name: str = None + + def __post_init__(self): + if self.agent_name is None: + self.agent_name = self.__class__.__name__ + + def prepare(self): + """Prepare the agent's LLM models before running the experiment.""" + pass + + def close(self): + """Close the agent's LLM models after running the experiment.""" + pass + + @abstractmethod + def make_agent(self) -> Agent: + """Comply the experiments.loop API for instantiating the agent.""" + + +def save_package_versions(exp_dir: Path): + """Save the versions of the installed packages in the experiment directory.""" + python_dists = "\n".join( + sorted( + [ + f'{dist.metadata["Name"]}=={dist.metadata["Version"]}' + for dist in importlib.metadata.distributions() + ] + ) + ) + (exp_dir / "package_versions.txt").write_text(python_dists) + + +@dataclass +class StepTimestamps: + env_start: float = 0 + action_exec_start: float = 0 # to extract begining of visual action from video + action_exec_stop: float = 0 # to extract end of visual action from video + action_exect_after_timeout: float = 0 + env_stop: float = 0 + agent_start: float = 0 + agent_stop: float = 0 + + +@dataclass +class StepInfo: + """Collects information about step that will be saved and reloaded. + Helper functions only modify the dataclass attributes and helps keeping the + information organized. + + Attributes: + ----------- + step: int + The step number of the episode. + obs: dict + The observation of the environment. + reward: float + The reward of the step. + raw_reward: float + The raw reward of the step. + terminated: bool + Whether the episode is terminated i.e. reached a terminal state. + truncated: bool + Whether the episode is truncated i.e. reached a maximum number of steps. + action: str + The action taken by the agent. + agent_info: dict + Additional information from the agent. + stats: dict + Extra statistics about the step. + profiling: StepTimestamps + Timestamps of the different events during the episode. + """ + + step: int = None + obs: dict = None + reward: float = 0 + raw_reward: float = 0 + terminated: bool = None + truncated: bool = None + action: str = None + agent_info: dict = field(default_factory=dict) + stats: dict = None + profiling: StepTimestamps = field(default_factory=StepTimestamps) + task_info: dict = None + + def from_step(self, env: gym.Env, action: str, obs_preprocessor: callable): + t = self.profiling + t.env_start = time.time() + self.obs, self.reward, self.terminated, self.truncated, env_info = env.step(action) + t.env_stop = time.time() + + self.task_info = env_info.get("task_info", None) + + self.raw_reward = env_info.get("RAW_REWARD_GLOBAL", None) + + t.action_exec_start = env_info["action_exec_start"] # start + t.action_exect_after_timeout = env_info["action_exec_stop"] + t.action_exec_stop = env_info["action_exec_stop"] - env_info["action_exec_timeout"] + + if obs_preprocessor: + self.obs = obs_preprocessor(self.obs) + + def from_action(self, agent: Agent): + self.profiling.agent_start = time.time() + self.action, self.agent_info = agent.get_action(self.obs.copy()) + self.profiling.agent_stop = time.time() + + self.make_stats() + + return self.action + + def from_reset(self, env: gym.Env, seed: int, obs_preprocessor: callable): + t = self.profiling + t.env_start = time.time() + self.obs, env_info = env.reset(seed=seed) + self.reward, self.terminated, self.truncated = 0, False, False + t.env_stop = time.time() + + t.action_exec_start = env_info.get("recording_start_time", t.env_start) + t.action_exect_after_timeout = t.env_stop + t.action_exec_stop = t.env_stop + + if obs_preprocessor: + self.obs = obs_preprocessor(self.obs) + + @property + def is_done(self): + return self.terminated or self.truncated + + def make_stats(self): + + stats = { + f"n_token_{key}": count_tokens(val) + for key, val in self.obs.items() + if isinstance(val, str) + } + stats.update(self.agent_info.pop("stats", {})) + + messages = self.agent_info.get("chat_messages", None) + if messages is not None: + stats["n_token_agent_messages"] = count_messages_token(messages) + + t = self.profiling + stats["step_elapsed"] = t.env_stop - t.env_start + stats["agent_elapsed"] = t.agent_stop - t.agent_start + + self.stats = stats + + def save_step_info(self, exp_dir, save_json=False, save_screenshot=True, save_som=False): + + # special treatment for some of the observation fields + if self.obs is not None: + # save screenshots to separate files + screenshot = self.obs.pop("screenshot", None) + screenshot_som = self.obs.pop("screenshot_som", None) + + if save_screenshot and screenshot is not None: + img = Image.fromarray(screenshot) + img.save(exp_dir / f"screenshot_step_{self.step}.png") + + if save_som and screenshot_som is not None: + img = Image.fromarray(screenshot_som) + img.save(exp_dir / f"screenshot_som_step_{self.step}.png") + + # save goal object (which might contain images) to a separate file to save space + if self.obs.get("goal_object", False): + # save the goal object only once (goal should never change once setup) + goal_object_file = Path(exp_dir) / "goal_object.pkl.gz" + if not goal_object_file.exists(): + with gzip.open(goal_object_file, "wb") as f: + pickle.dump(self.obs["goal_object"], f) + # set goal_object to a special placeholder value, which indicates it should be loaded from a separate file + self.obs["goal_object"] = None + + with gzip.open(exp_dir / f"step_{self.step}.pkl.gz", "wb") as f: + pickle.dump(self, f) + + if save_json: + with open(exp_dir / "steps_info.json", "w") as f: + json.dump(self, f, indent=4, cls=DataclassJSONEncoder) + + if self.obs is not None: + # add the screenshots back to the obs + # why do we need this? + if screenshot is not None: + self.obs["screenshot"] = screenshot + if screenshot_som is not None: + self.obs["screenshot_som"] = screenshot_som + + +@dataclass +class ExpArgs: + """Arguments to run an experiment, i.e. run agent in an environment until done. + + This dataclass is used to store experiments arguments. It contains + agent_args and env_args which follows the same principle. It contains helper + functions to prepare and run experiments. + + Attributes: + ----------- + agent_args: AbstractAgentArgs + The arguments to instantiate the agent. + env_args: EnvArgs + The arguments to instantiate the environment. + exp_dir: str + The directory where the experiment will be saved. + exp_name: str + The name of the experiment. If None, it will be generated from the + agent and environment names. + enable_debug: bool + If python is running in debug mode and `enable_debug` is True, errors + will be raised instead of only logged + error_msg: str + Error that occured while running the experiment (if any). + stack_trace: str + Stack trace of the error (if any). + order: int (internal) + The order of the experiment in the batch. It is used to keep track of + the original order of the experiments in case they are shuffled. + """ + + agent_args: AbstractAgentArgs + env_args: EnvArgs + exp_dir: str = None + exp_name: str = None + enable_debug: bool = True + err_msg: str = None + stack_trace: str = None + order: int = None # use to keep the original order the experiments were meant to be launched. + logging_level: int = logging.INFO + logging_level_stdout: int = logging.INFO + exp_id: str = None + depends_on: tuple[str] = () + save_screenshot: bool = True + save_som: bool = False + + def make_id(self): + """Create a unique id for the experiment.""" + if self.exp_id is None: + self.exp_id = str(uuid.uuid4()) + + def prepare(self, exp_root): + """Prepare the experiment directory and save the experiment arguments. + + This enables inspecting experiments that are not run yet. + """ + if self.env_args.task_seed is None: + self.env_args.task_seed = np.random.randint(0, SEED_MAX) + + if self.exp_name is None: + task_name = self.env_args.task_name + self.exp_name = f"{self.agent_args.agent_name}_on_{task_name}_{self.env_args.task_seed}" + + # if exp_dir exists, it means it's a re-run, move the old one + if self.exp_dir is not None: + _move_old_exp(self.exp_dir) + + self.make_id() + + self.exp_date = datetime.now() + self._make_dir(exp_root) + + self.exp_dir.mkdir(parents=True, exist_ok=True) + with open(self.exp_dir / "exp_args.pkl", "wb") as f: + pickle.dump(self, f) + + def _make_dir(self, exp_root): + """Create a unique directory for the experiment.""" + date_str = self.exp_date.strftime("%Y-%m-%d_%H-%M-%S") + exp_str = re.sub( + r"[\/:*?<>|]", "_", self.exp_name + ) # sanitize exp_name to be used as a file name (substitute forbidden characters) + + for i in range(1000): + if i >= 999: # make sure we don't loop forever + raise ValueError("Could not find a unique name for the experiment directory.") + + tag = f"_{i}" if i > 0 else "" + self.exp_dir = Path(exp_root) / f"{date_str}_{exp_str}{tag}" + if not self.exp_dir.exists(): + break + + # TODO distinguish between agent error and environment or system error. e.g. + # the parsing error of an action should not be re-run. + def run(self): + """Run the experiment and save the results""" + + # start writing logs to run logfile + self._set_logger() + + # log python environment info + save_package_versions(self.exp_dir) + + episode_info = [] + env, step_info, err_msg, stack_trace = None, None, None, None + try: + logger.info(f"Running experiment {self.exp_name} in:\n {self.exp_dir}") + agent = self.agent_args.make_agent() + logger.debug(f"Agent created.") + + env = self.env_args.make_env( + action_mapping=agent.action_set.to_python_code, + exp_dir=self.exp_dir, + ) + + logger.debug(f"Environment created.") + + step_info = StepInfo(step=0) + episode_info = [step_info] + step_info.from_reset( + env, seed=self.env_args.task_seed, obs_preprocessor=agent.obs_preprocessor + ) + logger.debug(f"Environment reset.") + + while not step_info.is_done: # set a limit + logger.debug(f"Starting step {step_info.step}.") + action = step_info.from_action(agent) + logger.debug(f"Agent chose action:\n {action}") + + if action is None: + # will end the episode after saving the step info. + step_info.truncated = True + + step_info.save_step_info( + self.exp_dir, save_screenshot=self.save_screenshot, save_som=self.save_som + ) + logger.debug(f"Step info saved.") + + _send_chat_info(env.unwrapped.chat, action, step_info.agent_info) + logger.debug(f"Chat info sent.") + + if action is None: + logger.debug(f"Agent returned None action. Ending episode.") + break + + step_info = StepInfo(step=step_info.step + 1) + episode_info.append(step_info) + + logger.debug(f"Sending action to environment.") + step_info.from_step(env, action, obs_preprocessor=agent.obs_preprocessor) + logger.debug(f"Environment stepped.") + + except Exception as e: + err_msg = f"Exception uncaught by agent or environment in task {self.env_args.task_name}.\n{type(e).__name__}:\n{e}" + stack_trace = traceback.format_exc() + + self.err_msg = err_msg + self.stack_trace = stack_trace + + logger.warning(err_msg + "\n" + stack_trace) + if _is_debugging() and self.enable_debug: + logger.warning("Debug mode is enabled. Raising the error.") + raise + + finally: + try: + if step_info is not None: + step_info.save_step_info( + self.exp_dir, save_screenshot=self.save_screenshot, save_som=self.save_som + ) + except Exception as e: + logger.error(f"Error while saving step info in the finally block: {e}") + try: + if ( + not err_msg + and len(episode_info) > 0 + and not (episode_info[-1].terminated or episode_info[-1].truncated) + ): + e = KeyboardInterrupt("Early termination??") + err_msg = f"Exception uncaught by agent or environment in task {self.env_args.task_name}.\n{type(e).__name__}:\n{e}" + logger.info(f"Saving summary info.") + self.save_summary_info(episode_info, self.exp_dir, err_msg, stack_trace) + except Exception as e: + logger.error(f"Error while saving summary info in the finally block: {e}") + try: + if env is not None: + env.close() + except Exception as e: + logger.error(f"Error while closing the environment in the finally block: {e}") + try: + self._unset_logger() # stop writing logs to run logfile + except Exception as e: + logger.error(f"Error while unsetting the logger in the finally block: {e}") + + def _set_logger(self): + # output logging traces to a log file + file_handler = logging.FileHandler(self.exp_dir / "experiment.log") + file_handler.setLevel(self.logging_level) # same level as console outputs + formatter = logging.Formatter( + "%(asctime)s - %(process)d - %(name)s - %(levelname)s - %(message)s" + ) + file_handler.setFormatter(formatter) + # output handler + stream_handler = logging.StreamHandler() + stream_handler.setLevel(self.logging_level_stdout) + stream_handler.setFormatter(formatter) + # setup root logger + root_logger = logging.getLogger() + + # remove previous stream handlers + for handler in root_logger.handlers: + if isinstance(handler, logging.StreamHandler): + root_logger.removeHandler(handler) + + root_logger.setLevel(self.logging_level) + root_logger.addHandler(file_handler) + root_logger.addHandler(stream_handler) + # setup openai logger (don't go below INFO verbosity) + openai_logger = logging.getLogger("openai._base_client") + openai_logger.setLevel(max(logging.INFO, self.logging_level)) + + self.logging_file_handler = file_handler + + def _unset_logger(self): + root_logger = logging.getLogger() + root_logger.removeHandler(self.logging_file_handler) + + def save_summary_info( + self, + episode_info: list[StepInfo], + exp_dir, + err_msg, + stack_trace, + ): + # bring err from agent_info to the top level + if err_msg is None: + err_msg, stack_trace = _extract_err_msg(episode_info) + else: + # useful until we get a proper place in agent_xray to view error + # messages. + if len(episode_info) == 0: + episode_info.append(StepInfo()) + episode_info[-1].agent_info["err_msg"] = err_msg + episode_info[-1].agent_info["stack_trace"] = stack_trace + + summary_info = dict( + n_steps=len(episode_info) - 1, + cum_reward=sum([step.reward for step in episode_info]), + cum_raw_reward=sum([step.raw_reward for step in episode_info if step.raw_reward]), + err_msg=err_msg, + stack_trace=stack_trace, + ) + for key, val in _aggregate_episode_stats(episode_info).items(): + summary_info[f"stats.{key}"] = val + + if len(episode_info) > 0: + summary_info["terminated"] = episode_info[-1].terminated + summary_info["truncated"] = episode_info[-1].truncated + + with open(exp_dir / "summary_info.json", "w") as f: + json.dump(summary_info, f, indent=4) + + +def _extract_err_msg(episode_info: list[StepInfo]): + """Extract the last error message from the episode info.""" + errors = [(None, None)] + for step_info in episode_info: + if step_info.agent_info is None: + continue + err_msg = step_info.agent_info.get("err_msg", None) + if err_msg is not None: + errors.append((err_msg, step_info.agent_info.get("stack_trace", None))) + + return errors[-1] + + +def _aggregate_episode_stats(episode_info: list[StepInfo]): + """Aggregate StepInfo.stats across episodes. + + It will compute the sum and max of each value in the stats dict. + These two summaries should cover many use cases. If more are needed, the + user can compute other stats by reloading individual StepInfo. + """ + + stats = defaultdict(list) + for step_info in episode_info: + if step_info.stats is not None: + for key, val in step_info.stats.items(): + if val is None: + val = np.nan + stats[key].append(val) + + aggregated_stats = {"cum_steps": len(episode_info)} # to be able to compute the mean + for key, val_list in stats.items(): + aggregated_stats[f"cum_{key}"] = np.nansum(val_list) + aggregated_stats[f"max_{key}"] = np.nanmax(val_list) + + for key, val in aggregated_stats.items(): + if isinstance(val, np.generic): + aggregated_stats[key] = val.item() + if np.isnan(val): + aggregated_stats[key] = None + return aggregated_stats + + +def _is_debugging(): + """Tells you if your code is currently running in debug mode.""" + return sys.gettrace() is not None + + +class ExpResult: + """Helper class to load and visualize the results of an experiment. + + attributes are loaded lazily. + + Attributes (lazily loaded): + exp_args: ExpArgs, the arguments of the experiment. + steps_info: list[StepInfo], the information of each steps so far + summary_info: dict, the summary of the experiment. + screenshots: list[Image], the screenshots of each step. + screenshots_som: list[Image], the screenshots of each step with set of + marks inprinted. + flat_exp_args: dict, the flattened version of exp_args. + chat_video_path: Path, the path to the chat video. (if record_video=True) + task_video_path: Path, the path to the task video. (if record_video=True) + combined_video_path: Path, the path to the combined video. (if video was + combined) + """ + + def __init__(self, exp_dir) -> None: + self.exp_dir = Path(exp_dir) + self._exp_args = None + self._steps_info = {} + self._summary_info = None + self._screenshots = {} + self._flat_exp_args = None + self._logs = None + + @property + def exp_args(self) -> ExpArgs: + if self._exp_args is None: + with open(self.exp_dir / "exp_args.pkl", "rb") as f: + self._exp_args = pickle.load(f) + # in case experiments were moved + self._exp_args.exp_dir = self.exp_dir + return self._exp_args + + def get_step_info(self, step: int) -> StepInfo: + """Load the step info from the file and return it.""" + if self._steps_info.get(step, None) is None: + with gzip.open(self.exp_dir / f"step_{step}.pkl.gz", "rb") as f: + self._steps_info[step] = pickle.load(f) + if self._steps_info[step].obs: + if "screenshot" not in self._steps_info[step].obs: + try: + self._steps_info[step].obs["screenshot"] = np.array( + self.get_screenshot(step), dtype=np.uint8 + ) + except FileNotFoundError: + pass + if "screenshot_som" not in self._steps_info[step].obs: + try: + self._steps_info[step].obs["screenshot_som"] = np.array( + self.get_screenshot(step, som=True), dtype=np.uint8 + ) + except FileNotFoundError: + pass + # if goal_object is set to None, it indicates it has been saved into a separate file + if ( + "goal_object" in self._steps_info[step].obs + and self._steps_info[step].obs["goal_object"] is None + ): + with gzip.open(self.exp_dir / "goal_object.pkl.gz", "rb") as f: + goal_object = pickle.load(f) + self._steps_info[step].obs["goal_object"] = goal_object + + return self._steps_info[step] + + @property + def steps_info(self) -> list[StepInfo]: + step_files = list(self.exp_dir.glob("step_*.pkl.gz")) + for file in step_files: + step = int(file.name.split("_")[-1].split(".")[0]) + self.get_step_info(step) + + return [self._steps_info[i] for i in range(len(self._steps_info))] + + @property + def summary_info(self) -> dict: + if self._summary_info is None: + with open(self.exp_dir / "summary_info.json", "r") as f: + # if length is zero raise file not found error + if os.fstat(f.fileno()).st_size == 0: + raise FileNotFoundError(f"summary_info.json is empty.") + self._summary_info = json.load(f) + return self._summary_info + + @property + def tape(self) -> dict: + """ + TapeAgents (https://github.com/ServiceNow/TapeAgents) framework compatibility. + Exports experiment trace in the format of serialized tape. + Reuses tape segments if they were already placed in the agent_info during the experiment. + + :returns: dict: serialized tape of the experiment + """ + steps = [] + for step_info in self.steps_info: + if "tape_segment" in step_info.agent_info["extra_info"]: + tape_segment = step_info.agent_info["extra_info"]["tape_segment"] + else: + tape_segment = self._create_tape_segment(step_info) + steps += tape_segment + metadata = dict( + id=str(uuid.uuid4()), + author=f"browsergym_agent_[{self.exp_args.agent_args.agent_name}]", + result=self.get_exp_record(), + ) + return dict(steps=steps, metadata=metadata) + + def _create_tape_segment(self, step_info: StepInfo) -> list[dict]: + tape_segment = [] + # extract observation step + if step_info.obs is not None: + screenshot: str = "" + screenshot_som: str = "" + obs_dict = copy.deepcopy(step_info.obs) + if "screenshot" in obs_dict: + screenshot = str(self.exp_dir / f"screenshot_step_{step_info.step}.png") + obs_dict.pop("screenshot") + if "screenshot_som" in obs_dict: + screenshot_som = str(self.exp_dir / f"screenshot_som_step_{step_info.step}.png") + obs_dict.pop("screenshot_som") + tape_segment.append( + dict( + kind="browsergym_observation", + metadata=dict(step=step_info.step), + obs=obs_dict, + screenshot=screenshot, + screenshot_som=screenshot_som, + ) + ) + + # extract thought step + think = step_info.agent_info.get("think", "") + if think: + tape_segment.append( + dict(kind="browsergym_thought", metadata={"step": step_info.step}, text=think) + ) + + # extract action steps + function_calls = highlevel_action_parser.parse_string(step_info.action, parse_all=True) + for name, arguments in function_calls: + tape_segment.append( + dict( + kind="browsergym_action", + metadata=dict( + step=step_info.step, + reward=step_info.reward, + raw_reward=step_info.raw_reward, + terminated=step_info.terminated, + truncated=step_info.truncated, + agent_info=step_info.agent_info, + stats=step_info.stats, + task_info=step_info.task_info, + ), + name=name, + arguments=arguments, + ) + ) + return tape_segment + + def save_tape(self, filename: str = "tape.json"): + if os.path.exists(self.exp_dir / filename): + raise FileExistsError(f"{filename} already exists in {self.exp_dir}") + with open(self.exp_dir / filename, "w") as f: + json.dump(self.tape, f, indent=4, ensure_ascii=False) + + def get_screenshot(self, step: int, som=False) -> Image: + key = (step, som) + if self._screenshots.get(key, None) is None: + file_name = f"screenshot_{'som_' if som else ''}step_{step}" + try: + with Image.open(self.exp_dir / (file_name + ".png")) as img: + self._screenshots[key] = img.copy() + except FileNotFoundError: + with Image.open(self.exp_dir / (file_name + ".jpg")) as img: + self._screenshots[key] = img.copy() + return self._screenshots[key] + + def get_screenshots(self, som=False): + files = list(self.exp_dir.glob("screenshot_step_*")) + max_step = 0 + for file in files: + step = int(file.name.split("_")[-1].split(".")[0]) + self.get_screenshot(step, som=som) + max_step = max(max_step, step) + return [self._screenshots.get((i, som), None) for i in range(max_step + 1)] + + @property + def screenshots(self): + return self.get_screenshots(som=False) + + @property + def screenshots_som(self): + return self.get_screenshots(som=True) + + @property + def flat_exp_args(self) -> dict: + """Return a dict with exp_args flattened.""" + if self._flat_exp_args is None: + exp_args = asdict(self.exp_args) + # this will flatten nested dicts + self._flat_exp_args = _flatten_dict(exp_args) + return self._flat_exp_args + + def get_exp_record(self) -> dict: + """Return a dict with exp_args flattened and summary_info.""" + record = {"exp_dir": self.exp_dir} + try: + record.update(self.flat_exp_args) + except FileNotFoundError: + pass + try: + record.update(self.summary_info) + except FileNotFoundError: + pass + return record + + @property + def chat_video_path(self) -> Path: + try: + return next(self.exp_dir.glob("chat_video/*.webm")) + except StopIteration: + raise FileNotFoundError(f"No chat_video found in {self.exp_dir}") + + @property + def task_video_path(self) -> Path: + try: + return next(self.exp_dir.glob("task_video/*.webm")) + except StopIteration: + raise FileNotFoundError(f"No task_video found in {self.exp_dir}") + + @property + def combined_video_path(self) -> Path: + return self.exp_dir / "combined_video.mp4" + + @property + def logs(self): + if self._logs is None: + self._logs = (self.exp_dir / "experiment.log").read_text() + return self._logs + + @property + def status(self): + """Return one of the following status: + * "done": completed with no error + * "error": completed with error + * "incomplete": not completed yet (may be pending or just stalled) + """ + try: + summary_info = self.summary_info + except FileNotFoundError: + return "incomplete" + + if summary_info.get("err_msg", None) is not None: + return "error" + + if summary_info.get("terminated", False) or summary_info.get("truncated", False): + return "done" + + return "incomplete" + + +EXP_RESULT_CACHE = {} + + +def get_exp_result(exp_dir) -> ExpResult: + """Keep a cache of pre-loaded exp_results for faster loading""" + exp_dir = str(exp_dir) # make sure it's not a Path + exp_result = EXP_RESULT_CACHE.get(exp_dir, None) + if exp_result is None: + exp_result = ExpResult(exp_dir) + EXP_RESULT_CACHE[exp_dir] = exp_result + return exp_result + + +def yield_all_exp_results( + savedir_base: str | Path, progress_fn=tqdm, load_hidden=False, use_cache=True +): + """Recursively find all experiments from savedir_base folder. + + This will ignore all experiments that start with "_" or ".". use + `load_hidden=True` to load them anyway. + """ + + if not isinstance(savedir_base, list): + savedir_base = [savedir_base] + + exp_args_paths = [] + for exp_dir in savedir_base: + exp_args_paths.extend(list(Path(exp_dir).glob("**/exp_args.pkl"))) + + if progress_fn is not None: + exp_args_paths = progress_fn(exp_args_paths, desc="Searching experiments directories.") + + for exp_args_path in exp_args_paths: + exp_dir = exp_args_path.parent + if not load_hidden: + if exp_dir.name.startswith("_") or exp_dir.name.startswith("."): + continue + if use_cache: + yield get_exp_result(exp_dir) + else: + yield ExpResult(exp_dir) + + +class DataclassJSONEncoder(json.JSONEncoder): + def default(self, obj): + if is_dataclass(obj): + return asdict(obj) + if isinstance(obj, np.integer): + return int(obj) + if isinstance(obj, np.floating): + return float(obj) + if isinstance(obj, np.ndarray): + return obj.tolist() + return super().default(obj) + + +def _move_old_exp(exp_dir): + """Move the old experiment directory to a new name.""" + exp_dir = Path(exp_dir) + if exp_dir.exists(): + exp_dir.rename(exp_dir.with_name("_" + exp_dir.name)) + + +def _get_env_name(task_name: str): + """Register tasks if needed (lazy import) and return environment name.""" + + # lazy benchmark import + if task_name.startswith("miniwob"): + import browsergym.miniwob + elif task_name.startswith("workarena"): + import browsergym.workarena + elif task_name.startswith("webarena"): + import browsergym.webarena + elif task_name.startswith("visualwebarena"): + import browsergym.visualwebarena + elif task_name.startswith("assistantbench"): + import browsergym.assistantbench + elif task_name.startswith("weblinx"): + import weblinx_browsergym + + return f"browsergym/{task_name}" + + +def _send_chat_info(chat: Chat, action: str, agent_info: dict): + """Send the think and action info to the chat.""" + msg = "" + if "think" in agent_info: + msg += f"""\ +{agent_info["think"]} + +""" + + msg += f"""\ +action: +{action} +""" + + logger.info(msg) + chat.add_message(role="info", msg=msg) + + +def _flatten_dict(d, parent_key="", sep="."): + """Recursively flatten a nested dictionary.""" + items = [] + for k, v in d.items(): + new_key = parent_key + sep + k if parent_key else k + if isinstance(v, dict): + items.extend(_flatten_dict(v, new_key, sep).items()) + else: + items.append((new_key, v)) + return dict(items) diff --git a/BrowserGym/browsergym/experiments/src/browsergym/experiments/utils.py b/BrowserGym/browsergym/experiments/src/browsergym/experiments/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..8c14b4c15740debcf6d2f93764069b08ba4636d6 --- /dev/null +++ b/BrowserGym/browsergym/experiments/src/browsergym/experiments/utils.py @@ -0,0 +1,43 @@ +import tiktoken + + +def count_tokens(text, model="gpt-4"): + """Count the number of tokens in a text.""" + + return len(tiktoken.encoding_for_model(model).encode(text)) + + +def count_messages_token(messages, model="gpt-4"): + """Count the number of tokens in a list of messages. + + Args: + messages (list): a list of messages, each message can be a string or a + list of dicts or an object with a content attribute. + model (str): the model to use for tokenization. + + Returns: + int: the number of tokens. + """ + token_count = 0 + for message in messages: + if hasattr(message, "content"): + message = message.content + elif isinstance(message, dict) and "content" in message: + message = message["content"] + + if isinstance(message, str): + token_count += count_tokens(message, model) + # handles messages with image content + elif isinstance(message, (list, tuple)): + for part in message: + if not isinstance(part, dict): + raise ValueError( + f"The message is expected to be a list of dicts, but got list of {type(message)}" + ) + if part["type"] == "text": + token_count += count_tokens(part["text"], model) + else: + raise ValueError( + f"The message is expected to be a string or a list of dicts, but got {type(message)}" + ) + return token_count diff --git a/BrowserGym/browsergym/miniwob/README.md b/BrowserGym/browsergym/miniwob/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2bda732f92e9a44c84896dac62a2df91f804d68c --- /dev/null +++ b/BrowserGym/browsergym/miniwob/README.md @@ -0,0 +1,23 @@ +# Miniwob benchmark for BrowserGym + +This package provides `browsergym.miniwob`, which is an unofficial port of the [MiniWoB++](https://miniwob.farama.org/) benchmark for BrowserGym. + +## Setup + +1. Install the package +```sh +pip install browsergym-miniwob +``` + +2. Clone miniwob (use a specific frozen commit for reproducibility) +```sh +git clone git@github.com:Farama-Foundation/miniwob-plusplus.git +git -C "./miniwob-plusplus" reset --hard 7fd85d71a4b60325c6585396ec4f48377d049838 +``` + +3. Setup Miniwob URL (change `PATH_TO_MINIWOB_CLONED_REPO` here to the absolute path to your `miniwob-plusplus` folder) +```sh +export MINIWOB_URL="file:///miniwob/html/miniwob/" +``` + +Alternatively, one can [setup a simple HTTP server](https://miniwob.farama.org/content/viewing/) and use a proper URL. diff --git a/BrowserGym/browsergym/miniwob/pyproject.toml b/BrowserGym/browsergym/miniwob/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..c02c63aa54b90b13047d9aba6ec107d9207e98db --- /dev/null +++ b/BrowserGym/browsergym/miniwob/pyproject.toml @@ -0,0 +1,36 @@ +[build-system] +requires = ["hatchling", "hatch-requirements-txt"] +build-backend = "hatchling.build" + +[project] +name = "browsergym-miniwob" +description = "MiniWoB++ benchmark for BrowserGym" +authors = [ + {name = "Rim Assouel"}, + {name = "Maxime Gasse"}, + {name = "Tom Marty"}, +] +readme = "README.md" +requires-python = ">3.7" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: Apache Software License", +] +dynamic = ["dependencies", "version"] + +[project.urls] +homepage = "https://github.com/ServiceNow/BrowserGym" + +[tool.hatch.version] +path = "../core/src/browsergym/core/__init__.py" + +[tool.hatch.metadata.hooks.requirements_txt] +files = ["requirements.txt"] + +[tool.hatch.build.targets.wheel] +packages = ["src/browsergym"] diff --git a/BrowserGym/browsergym/miniwob/requirements.txt b/BrowserGym/browsergym/miniwob/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0aa29e8b3aabe1457e501e5cc2858ec7055cc95 --- /dev/null +++ b/BrowserGym/browsergym/miniwob/requirements.txt @@ -0,0 +1 @@ +browsergym-core==0.13.4 diff --git a/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/__init__.py b/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..bc9f6086de73c388b85030539c66ac1be91c34d2 --- /dev/null +++ b/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/__init__.py @@ -0,0 +1,148 @@ +import os + +from browsergym.core.registration import register_task + +from . import all + + +def environment_variables_precheck(): + assert os.environ.get( + "MINIWOB_URL", None + ), "Environment variable MINIWOB_URL has not been setup." + + +ALL_MINIWOB_TASKS = [ + all.AscendingNumbersTask, + all.BisectAngleTask, + all.BookFlightTask, + all.BookFlightNodelayTask, + all.BuyTicketTask, + all.ChooseDateTask, + all.ChooseDateEasyTask, + all.ChooseDateMediumTask, + all.ChooseDateNodelayTask, + all.ChooseListTask, + all.CircleCenterTask, + all.ClickButtonTask, + all.ClickButtonSequenceTask, + all.ClickCheckboxesTask, + all.ClickCheckboxesLargeTask, + all.ClickCheckboxesSoftTask, + all.ClickCheckboxesTransferTask, + all.ClickCollapsibleTask, + all.ClickCollapsible2Task, + all.ClickCollapsible2NodelayTask, + all.ClickCollapsibleNodelayTask, + all.ClickColorTask, + all.ClickDialogTask, + all.ClickDialog2Task, + all.ClickLinkTask, + all.ClickMenuTask, + all.ClickMenu2Task, + all.ClickOptionTask, + all.ClickPieTask, + all.ClickPieNodelayTask, + all.ClickScrollListTask, + all.ClickShadesTask, + all.ClickShapeTask, + all.ClickTabTask, + all.ClickTab2Task, + all.ClickTab2EasyTask, + all.ClickTab2HardTask, + all.ClickTab2MediumTask, + all.ClickTestTask, + all.ClickTest2Task, + all.ClickTestTransferTask, + all.ClickWidgetTask, + all.CopyPasteTask, + all.CopyPaste2Task, + all.CountShapeTask, + all.CountSidesTask, + all.DailyCalendarTask, + all.DragBoxTask, + all.DragCircleTask, + all.DragCubeTask, + all.DragItemsTask, + all.DragItemsGridTask, + all.DragShapesTask, + all.DragShapes2Task, + all.DragSingleShapeTask, + all.DragSortNumbersTask, + all.DrawCircleTask, + all.DrawLineTask, + all.EmailInboxTask, + all.EmailInboxDeleteTask, + all.EmailInboxForwardTask, + all.EmailInboxForwardNlTask, + all.EmailInboxForwardNlTurkTask, + all.EmailInboxImportantTask, + all.EmailInboxNlTurkTask, + all.EmailInboxNoscrollTask, + all.EmailInboxReplyTask, + all.EmailInboxStarReplyTask, + all.EnterDateTask, + all.EnterPasswordTask, + all.EnterTextTask, + all.EnterText2Task, + all.EnterTextDynamicTask, + all.EnterTimeTask, + all.FindGreatestTask, + all.FindMidpointTask, + all.FindWordTask, + all.FocusTextTask, + all.FocusText2Task, + all.FormSequenceTask, + all.FormSequence2Task, + all.FormSequence3Task, + all.GenerateNumberTask, + all.GridCoordinateTask, + all.GuessNumberTask, + all.HighlightTextTask, + all.HighlightText2Task, + all.HotColdTask, + all.IdentifyShapeTask, + all.LoginUserTask, + all.LoginUserPopupTask, + all.MultiLayoutsTask, + all.MultiOrderingsTask, + all.NavigateTreeTask, + all.NumberCheckboxesTask, + all.OddOrEvenTask, + all.OrderFoodTask, + all.PhoneBookTask, + all.ReadTableTask, + all.ReadTable2Task, + all.ResizeTextareaTask, + all.RightAngleTask, + all.ScrollTextTask, + all.ScrollText2Task, + all.SearchEngineTask, + all.SignAgreementTask, + all.SimpleAlgebraTask, + all.SimpleArithmeticTask, + all.SocialMediaTask, + all.SocialMediaAllTask, + all.SocialMediaSomeTask, + all.StockMarketTask, + all.TerminalTask, + all.TextEditorTask, + all.TextTransformTask, + all.TicTacToeTask, + all.UnicodeTestTask, + all.UseAutocompleteTask, + all.UseAutocompleteNodelayTask, + all.UseColorwheelTask, + all.UseColorwheel2Task, + all.UseSliderTask, + all.UseSlider2Task, + all.UseSpinnerTask, + all.VisualAdditionTask, +] + +# register the Miniwob benchmark +for task in ALL_MINIWOB_TASKS: + register_task( + task.get_task_id(), + task, + nondeterministic=task.nondeterministic, + ) diff --git a/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/all.py b/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/all.py new file mode 100644 index 0000000000000000000000000000000000000000..2e3105099b3a001d6282988ac2e7b35a42e8edb5 --- /dev/null +++ b/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/all.py @@ -0,0 +1,694 @@ +import playwright.sync_api + +from .base import AbstractMiniwobTask + + +class AscendingNumbersTask(AbstractMiniwobTask): + desc = "Click on the numbers in ascending order." + subdomain = "ascending-numbers" + + +class BisectAngleTask(AbstractMiniwobTask): + desc = "Find the line that bisects an angle evenly in two." + subdomain = "bisect-angle" + + +class BookFlightTask(AbstractMiniwobTask): + desc = "Search for flight results." + subdomain = "book-flight" + + +class BookFlightNodelayTask(AbstractMiniwobTask): + desc = "[book-flight] Removed animation." + subdomain = "book-flight-nodelay" + + +class BuyTicketTask(AbstractMiniwobTask): + desc = "Buy a ticket that matches the requested criteria." + subdomain = "buy-ticket" + + +class ChooseDateTask(AbstractMiniwobTask): + desc = "Learn to operate a date picker tool." + subdomain = "choose-date" + + +class ChooseDateEasyTask(AbstractMiniwobTask): + desc = "[choose-date] December only." + subdomain = "choose-date-easy" + + +class ChooseDateMediumTask(AbstractMiniwobTask): + desc = "[choose-date] December or November only." + subdomain = "choose-date-medium" + + +class ChooseDateNodelayTask(AbstractMiniwobTask): + desc = "[choose-date] Removed animation." + subdomain = "choose-date-nodelay" + + +class ChooseListTask(AbstractMiniwobTask): + desc = "Choose an item from a drop down list." + subdomain = "choose-list" + + +class CircleCenterTask(AbstractMiniwobTask): + desc = "Find the center of a circle." + subdomain = "circle-center" + + +class ClickButtonTask(AbstractMiniwobTask): + desc = "Click on a specific button in a generated form." + subdomain = "click-button" + + +class ClickButtonSequenceTask(AbstractMiniwobTask): + desc = "Click on buttons in a certain order." + subdomain = "click-button-sequence" + + +class ClickCheckboxesTask(AbstractMiniwobTask): + desc = "Click desired checkboxes." + subdomain = "click-checkboxes" + + +class ClickCheckboxesLargeTask(AbstractMiniwobTask): + desc = "[click-checkboxes] Click at least 5 out of up to 12 checkboxes." + subdomain = "click-checkboxes-large" + + +class ClickCheckboxesSoftTask(AbstractMiniwobTask): + desc = "[click-checkboxes] Paraphrased entries." + subdomain = "click-checkboxes-soft" + + +class ClickCheckboxesTransferTask(AbstractMiniwobTask): + desc = "[click-checkboxes] Train and test on different number of targets." + subdomain = "click-checkboxes-transfer" + + +class ClickCollapsibleTask(AbstractMiniwobTask): + desc = "Click a collapsible element to expand it." + subdomain = "click-collapsible" + + +class ClickCollapsible2Task(AbstractMiniwobTask): + desc = "Find and click on a specified link, from collapsible elements." + subdomain = "click-collapsible-2" + + +class ClickCollapsible2NodelayTask(AbstractMiniwobTask): + desc = "[click-collapsible-2] Removed animation." + subdomain = "click-collapsible-2-nodelay" + + +class ClickCollapsibleNodelayTask(AbstractMiniwobTask): + desc = "[click-collapsible] Removed animation." + subdomain = "click-collapsible-nodelay" + + +class ClickColorTask(AbstractMiniwobTask): + desc = "Click the specified color." + subdomain = "click-color" + + +class ClickDialogTask(AbstractMiniwobTask): + desc = "Click the button to close the dialog box." + subdomain = "click-dialog" + + +class ClickDialog2Task(AbstractMiniwobTask): + desc = "Click a specific button in a dialog box." + subdomain = "click-dialog-2" + + +class ClickLinkTask(AbstractMiniwobTask): + desc = "Click on a specified link in text." + subdomain = "click-link" + + +class ClickMenuTask(AbstractMiniwobTask): + desc = "Click menu items." + subdomain = "click-menu" + + +class ClickMenu2Task(AbstractMiniwobTask): + desc = "Find a specific item from a menu." + subdomain = "click-menu-2" + + def setup(self, page: playwright.sync_api.Page) -> tuple[str, dict]: + goal, info = super().setup(page) + + if self.remove_human_display: + get_utterance_func = "getUtterance_legacy" + else: + get_utterance_func = "getUtterance" + + # this task requires specific treatment to recover the text goal + page.evaluate( + f"core.{get_utterance_func} = function () " + + r"""{ + query_div = document.getElementById('query'); + if (query_div.children.length > 0) { + utterance = ''; + utterance = utterance + query_div.childNodes[0].textContent.replace(/\s+/g, ' ').trim(); + utterance = utterance + ' "' + query_div.children[0].getAttribute('class').split(' ')[1] + '"'; + utterance = utterance + ' ' + query_div.childNodes[2].textContent.replace(/\s+/g, ' ').trim(); + } + else { + utterance = query_div.textContent.replace(/\s+/g, ' ').trim(); + } + return utterance; +}; +''; +""" + ) + + # re-extract the goal + goal = self._get_goal() + + return goal, info + + +class ClickOptionTask(AbstractMiniwobTask): + desc = "Click option boxes." + subdomain = "click-option" + + +class ClickPieTask(AbstractMiniwobTask): + desc = "Click items on a pie menu." + subdomain = "click-pie" + nondeterministic = True + + +class ClickPieNodelayTask(AbstractMiniwobTask): + desc = "[click-pie] Removed animation." + subdomain = "click-pie-nodelay" + nondeterministic = True + + +class ClickScrollListTask(AbstractMiniwobTask): + desc = "Click multiple items from a scroll list." + subdomain = "click-scroll-list" + + +class ClickShadesTask(AbstractMiniwobTask): + desc = "Click the shades that match a specified color." + subdomain = "click-shades" + + +class ClickShapeTask(AbstractMiniwobTask): + desc = "Click on a specific shape." + subdomain = "click-shape" + + +class ClickTabTask(AbstractMiniwobTask): + desc = "Click on a tab element." + subdomain = "click-tab" + + +class ClickTab2Task(AbstractMiniwobTask): + desc = "Click a link inside a specific tab element." + subdomain = "click-tab-2" + + +class ClickTab2EasyTask(AbstractMiniwobTask): + desc = "[click-tab-2] One 1 tab." + subdomain = "click-tab-2-easy" + + +class ClickTab2HardTask(AbstractMiniwobTask): + desc = "[click-tab-2] Varying number of tabs from 2 to 6." + subdomain = "click-tab-2-hard" + + +class ClickTab2MediumTask(AbstractMiniwobTask): + desc = "[click-tab-2] Choose between a link or ‘no match’." + subdomain = "click-tab-2-medium" + + +class ClickTestTask(AbstractMiniwobTask): + desc = "Click on a single button." + subdomain = "click-test" + + +class ClickTest2Task(AbstractMiniwobTask): + desc = "Click on one of two buttons." + subdomain = "click-test-2" + + +class ClickTestTransferTask(AbstractMiniwobTask): + desc = "[click-test] Different buttons during train and test." + subdomain = "click-test-transfer" + + +class ClickWidgetTask(AbstractMiniwobTask): + desc = "Click on a specific widget in a generated form." + subdomain = "click-widget" + + +class CopyPasteTask(AbstractMiniwobTask): + desc = "Copy text and paste it into an input." + subdomain = "copy-paste" + + +class CopyPaste2Task(AbstractMiniwobTask): + desc = "Copy text from a specific textarea and paste it into an input." + subdomain = "copy-paste-2" + + +class CountShapeTask(AbstractMiniwobTask): + desc = "Count number of shapes." + subdomain = "count-shape" + + +class CountSidesTask(AbstractMiniwobTask): + desc = "Count the number of sides on a shape." + subdomain = "count-sides" + + +class DailyCalendarTask(AbstractMiniwobTask): + desc = "Create an event on a daily calendar." + subdomain = "daily-calendar" + + +class DragBoxTask(AbstractMiniwobTask): + desc = "Drag the smaller box into the larger box." + subdomain = "drag-box" + + +class DragCircleTask(AbstractMiniwobTask): + desc = "Drag an item in a specified direction." + subdomain = "drag-circle" + + +class DragCubeTask(AbstractMiniwobTask): + desc = "Drag a 3D cube to show a specific face." + subdomain = "drag-cube" + + +class DragItemsTask(AbstractMiniwobTask): + desc = "Drag items in a list, in a specified direction" + subdomain = "drag-items" + + +class DragItemsGridTask(AbstractMiniwobTask): + desc = "Drag items in a 2D grid around." + subdomain = "drag-items-grid" + + +class DragShapesTask(AbstractMiniwobTask): + desc = "Drag shapes into a box." + subdomain = "drag-shapes" + + +class DragShapes2Task(AbstractMiniwobTask): + desc = "Drag shapes into boxes, categorized by type." + subdomain = "drag-shapes-2" + + +class DragSingleShapeTask(AbstractMiniwobTask): + desc = "Drag a randomly generated shape in a specified direction." + subdomain = "drag-single-shape" + + +class DragSortNumbersTask(AbstractMiniwobTask): + desc = "Drag numbers into sorted ascending order." + subdomain = "drag-sort-numbers" + + +class DrawCircleTask(AbstractMiniwobTask): + desc = "Draw a circle around a marked point." + subdomain = "draw-circle" + + +class DrawLineTask(AbstractMiniwobTask): + desc = "Draw a line through a marked point." + subdomain = "draw-line" + + +class EmailInboxTask(AbstractMiniwobTask): + desc = "Navigate through an email inbox and perform some actions." + subdomain = "email-inbox" + + +class EmailInboxDeleteTask(AbstractMiniwobTask): + desc = "[email-inbox] No scrolling + 1 subtask." + subdomain = "email-inbox-delete" + + +class EmailInboxForwardTask(AbstractMiniwobTask): + desc = "[email-inbox] No scrolling + 1 subtask." + subdomain = "email-inbox-forward" + + +class EmailInboxForwardNlTask(AbstractMiniwobTask): + desc = "[email-inbox-forward] varied instruction texts (30 templates)." + subdomain = "email-inbox-forward-nl" + + +class EmailInboxForwardNlTurkTask(AbstractMiniwobTask): + desc = "[email-inbox-forward] varied instruction texts (100 templates)." + subdomain = "email-inbox-forward-nl-turk" + + +class EmailInboxImportantTask(AbstractMiniwobTask): + desc = "[email-inbox] No scrolling + 1 subtask." + subdomain = "email-inbox-important" + + +class EmailInboxNlTurkTask(AbstractMiniwobTask): + desc = "[email-inbox] varied instruction texts (100 templates for each subtask)." + subdomain = "email-inbox-nl-turk" + + +class EmailInboxNoscrollTask(AbstractMiniwobTask): + desc = "[email-inbox] No scrolling." + subdomain = "email-inbox-noscroll" + + +class EmailInboxReplyTask(AbstractMiniwobTask): + desc = "[email-inbox] No scrolling + 1 subtask." + subdomain = "email-inbox-reply" + + +class EmailInboxStarReplyTask(AbstractMiniwobTask): + desc = "[email-inbox] No scrolling + 2 subtasks." + subdomain = "email-inbox-star-reply" + + +class EnterDateTask(AbstractMiniwobTask): + desc = "Use the date input to pick the correct date." + subdomain = "enter-date" + + +class EnterPasswordTask(AbstractMiniwobTask): + desc = "Enter the password into the form." + subdomain = "enter-password" + + +class EnterTextTask(AbstractMiniwobTask): + desc = "Enter given text to a textfield." + subdomain = "enter-text" + + +class EnterText2Task(AbstractMiniwobTask): + desc = "Convert given text to upper or lower case." + subdomain = "enter-text-2" + + +class EnterTextDynamicTask(AbstractMiniwobTask): + desc = "Enter dynamically generated text to a textfield." + subdomain = "enter-text-dynamic" + + +class EnterTimeTask(AbstractMiniwobTask): + desc = "Enter the specified time into the input." + subdomain = "enter-time" + + +class FindGreatestTask(AbstractMiniwobTask): + desc = "Find the card with the greatest number." + subdomain = "find-greatest" + + +class FindMidpointTask(AbstractMiniwobTask): + desc = "Find the shortest mid-point of two points." + subdomain = "find-midpoint" + + +class FindWordTask(AbstractMiniwobTask): + desc = "Find nth word in a block of text." + subdomain = "find-word" + + +class FocusTextTask(AbstractMiniwobTask): + desc = "Focus into a text input." + subdomain = "focus-text" + + +class FocusText2Task(AbstractMiniwobTask): + desc = "Focus on a specific text input." + subdomain = "focus-text-2" + + +class FormSequenceTask(AbstractMiniwobTask): + desc = "Perform a series of instructions on a form." + subdomain = "form-sequence" + + +class FormSequence2Task(AbstractMiniwobTask): + desc = "Perform a series of instructions on a form." + subdomain = "form-sequence-2" + + +class FormSequence3Task(AbstractMiniwobTask): + desc = "Perform a series of instructions on a form." + subdomain = "form-sequence-3" + + +class GenerateNumberTask(AbstractMiniwobTask): + desc = "Generate a random number that meets certain criteria." + subdomain = "generate-number" + + +class GridCoordinateTask(AbstractMiniwobTask): + desc = "Find the Cartesian coordinates on a grid." + subdomain = "grid-coordinate" + + +class GuessNumberTask(AbstractMiniwobTask): + desc = "Guess the number." + subdomain = "guess-number" + + +class HighlightTextTask(AbstractMiniwobTask): + desc = "Highlight all the text." + subdomain = "highlight-text" + + +class HighlightText2Task(AbstractMiniwobTask): + desc = "Highlight the specified paragraph." + subdomain = "highlight-text-2" + + +class HotColdTask(AbstractMiniwobTask): + desc = "Find and click on the hot area." + subdomain = "hot-cold" + + +class IdentifyShapeTask(AbstractMiniwobTask): + desc = "Identify a randomly generated shape." + subdomain = "identify-shape" + + +class LoginUserTask(AbstractMiniwobTask): + desc = "Enter user login details into the form." + subdomain = "login-user" + + +class LoginUserPopupTask(AbstractMiniwobTask): + desc = "[login-user] Random popup." + subdomain = "login-user-popup" + + +class MultiLayoutsTask(AbstractMiniwobTask): + desc = "Fill in forms of varying layouts." + subdomain = "multi-layouts" + + +class MultiOrderingsTask(AbstractMiniwobTask): + desc = "Fill in forms with shuffled field orderings." + subdomain = "multi-orderings" + + +class NavigateTreeTask(AbstractMiniwobTask): + desc = "Navigate a file tree to find a specified file or folder." + subdomain = "navigate-tree" + + +class NumberCheckboxesTask(AbstractMiniwobTask): + desc = "Draw a given number using checkboxes." + subdomain = "number-checkboxes" + + +class OddOrEvenTask(AbstractMiniwobTask): + desc = "Mark each number as odd or even." + subdomain = "odd-or-even" + + +class OrderFoodTask(AbstractMiniwobTask): + desc = "Order food items from a menu." + subdomain = "order-food" + + +class PhoneBookTask(AbstractMiniwobTask): + desc = "Find a contact in a phone book." + subdomain = "phone-book" + + +class ReadTableTask(AbstractMiniwobTask): + desc = "Read information out from a table." + subdomain = "read-table" + + +class ReadTable2Task(AbstractMiniwobTask): + desc = "Read multiple pieces of information out from a table." + subdomain = "read-table-2" + + +class ResizeTextareaTask(AbstractMiniwobTask): + desc = "Resize a textarea in a given direction." + subdomain = "resize-textarea" + + +class RightAngleTask(AbstractMiniwobTask): + desc = "Given two points, add a third point to create a right angle." + subdomain = "right-angle" + + +class ScrollTextTask(AbstractMiniwobTask): + desc = "Scroll through a text area element and enter last word into text area." + subdomain = "scroll-text" + + +class ScrollText2Task(AbstractMiniwobTask): + desc = "Scroll through a text area in a given direction." + subdomain = "scroll-text-2" + + +class SearchEngineTask(AbstractMiniwobTask): + desc = "Search through a bunch of results to find a specified link." + subdomain = "search-engine" + + +class SignAgreementTask(AbstractMiniwobTask): + desc = "Sign a user agreement." + subdomain = "sign-agreement" + + +class SimpleAlgebraTask(AbstractMiniwobTask): + desc = "Solve for X." + subdomain = "simple-algebra" + + +class SimpleArithmeticTask(AbstractMiniwobTask): + desc = "Perform some arithmetic math operations." + subdomain = "simple-arithmetic" + + +class SocialMediaTask(AbstractMiniwobTask): + desc = "Interact with a social media feed." + subdomain = "social-media" + + +class SocialMediaAllTask(AbstractMiniwobTask): + desc = "[social-media] Do some action on all matching entries." + subdomain = "social-media-all" + + +class SocialMediaSomeTask(AbstractMiniwobTask): + desc = "[social-media] Do some action on some matching entries." + subdomain = "social-media-some" + + +class StockMarketTask(AbstractMiniwobTask): + desc = "Buy from the stock market below a specified price." + subdomain = "stock-market" + + +class TerminalTask(AbstractMiniwobTask): + desc = "Use the terminal to delete a file." + subdomain = "terminal" + nondeterministic = True + + +class TextEditorTask(AbstractMiniwobTask): + desc = "Modify a text's style in a text-editor." + subdomain = "text-editor" + + +class TextTransformTask(AbstractMiniwobTask): + desc = "Enter slightly transformed text into a text box." + subdomain = "text-transform" + + +class TicTacToeTask(AbstractMiniwobTask): + desc = "Win a game of tic-tac-toe." + subdomain = "tic-tac-toe" + + +class UnicodeTestTask(AbstractMiniwobTask): + desc = "Click on the button with the correct Unicode text." + subdomain = "unicode-test" + + +class UseAutocompleteTask(AbstractMiniwobTask): + desc = "Use autocomplete element efficiently." + subdomain = "use-autocomplete" + + +class UseAutocompleteNodelayTask(AbstractMiniwobTask): + desc = "[use-autocomplete] Removed delay." + subdomain = "use-autocomplete-nodelay" + + +class UseColorwheelTask(AbstractMiniwobTask): + desc = "Use a color wheel." + subdomain = "use-colorwheel" + + +class UseColorwheel2Task(AbstractMiniwobTask): + desc = "Use a color wheel given specific random color." + subdomain = "use-colorwheel-2" + + def setup(self, page: playwright.sync_api.Page) -> tuple[str, dict]: + goal, info = super().setup(page) + + if self.remove_human_display: + get_utterance_func = "getUtterance_legacy" + else: + get_utterance_func = "getUtterance" + + # this task requires specific treatment to recover the text goal + page.evaluate( + f"core.{get_utterance_func} = function () " + + r"""{ + const rgb2hex = (rgb) => `#${rgb.match(/^rgb\((\d+),\s*(\d+),\s*(\d+)\)$/).slice(1).map(n => parseInt(n, 10).toString(16).padStart(2, '0')).join('')}`; + query_div = document.getElementById('query'); + utterance = ''; + utterance = utterance + query_div.children[0].textContent.replace(/\s+/g, ' ').trim(); + utterance = utterance + ' ' + rgb2hex(query_div.children[1].style.backgroundColor); + utterance = utterance + ' ' + query_div.children[2].textContent.replace(/\s+/g, ' ').trim(); + return utterance; +}; +''; +""" + ) + + # re-extract the goal + goal = self._get_goal() + + return goal, info + + +class UseSliderTask(AbstractMiniwobTask): + desc = "Use a slider to select a particular value." + subdomain = "use-slider" + + +class UseSlider2Task(AbstractMiniwobTask): + desc = "Use sliders to create a given combination." + subdomain = "use-slider-2" + + +class UseSpinnerTask(AbstractMiniwobTask): + desc = "Use a spinner to select given number." + subdomain = "use-spinner" + + +class VisualAdditionTask(AbstractMiniwobTask): + desc = "Count the total number of blocks." + subdomain = "visual-addition" + nondeterministic = True diff --git a/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/base.py b/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/base.py new file mode 100644 index 0000000000000000000000000000000000000000..ce5a38b02e3aa4db307e1f719c948d711e8158fa --- /dev/null +++ b/BrowserGym/browsergym/miniwob/src/browsergym/miniwob/base.py @@ -0,0 +1,186 @@ +import os +from typing import Optional, Tuple + +import playwright.sync_api + +from browsergym.core.task import AbstractBrowserTask + + +class AbstractMiniwobTask(AbstractBrowserTask): + """ + Abstract class for all Miniwob++ tasks + + """ + + # gym metadata (default value, can be overloaded per task) + nondeterministic: bool = False + + @classmethod + def get_task_id(cls): + return f"miniwob.{cls.subdomain}" + + def __init__( + self, + seed: int, + base_url: Optional[str] = None, + episode_max_time: int = 1000000, + remove_human_display: bool = True, + ) -> None: + """ + Args: + seed: random seed. + base_url: str (optional), the base Miniwob URL where the task's HTML file is to be found. If not provided, the MINIWOB_URL environment variable will be used. + episode_max_time: int, episode max time in milliseconds. Default: 1000000 ms. + remove_human_display: bool, whether or not to remove the human display (goal, time left, last reward etc.) from the DOM. Default: True. + + """ + super().__init__(seed) + + # task properties, will be used to set up the browsergym environment + self.viewport = {"width": 500, "height": 320} + self.slow_mo = 100 # ms + self.timeout = 5000 # ms + + assert episode_max_time > 0 + + # if not provided, try to get Miniwob URL from environment variable + if base_url is None: + if "MINIWOB_URL" in os.environ: + base_url = os.environ["MINIWOB_URL"] + else: + raise ValueError( + f"Please provide a Miniwob base URL (or setup one using the environment variable MINIWOB_URL)." + ) + + self.url = base_url + self.subdomain + ".html" + self.episode_max_time = episode_max_time + self.remove_human_display = remove_human_display + + def setup(self, page: playwright.sync_api.Page) -> tuple[str, dict]: + self.page = page + + # navigate to the task's url + self.page.goto(self.url) + + # remove human display if requested (goal, time left, last reward etc.) + if self.remove_human_display: + self.page.evaluate( # if error : core is not defined, make sure you started the miniwob http server at the right place miniwob-plusplus/miniwob/html + r""" +let __display_ids = ['reward-display', 'click-canvas', 'sync-task-cover']; +let __display_divs = {}; +let __query_div_hidden_copy = null; + +removeDisplay = function() { + core.clearTimer(); + document.body.removeEventListener('click', core.canvasDrawClick); + + __query_div_hidden_copy = document.getElementById('query').cloneNode(true); + document.getElementById('query').innerHTML = ''; + + for (i in __display_ids) { + elem_id = __display_ids[i]; + elem = document.getElementById(elem_id); + // remove elem from the document + elem.remove(); + // but keep it stored somewhere to bring back later + __display_divs[elem_id] = elem; + } +}; + +bringBackDisplay = function() { + document.getElementById('query').innerHTML = __query_div_hidden_copy.innerHTML; + for (var elem_id in __display_divs){ + document.body.appendChild(__display_divs[elem_id]); + } + core.createDisplay(); +}; + +core.endEpisode_legacy = core.endEpisode; +core.startEpisodeReal_legacy = core.startEpisodeReal; +core.getUtterance_legacy = core.getUtterance; + +core.getUtterance = function () { + bringBackDisplay(); + utterance = core.getUtterance_legacy(); + removeDisplay(); + return utterance; +}; + +core.endEpisode = function(reward, time_proportional, reason){ + bringBackDisplay(); + core.endEpisode_legacy(reward, time_proportional, reason); + removeDisplay(); +}; + +core.startEpisodeReal = function() { + bringBackDisplay(); + core.startEpisodeReal_legacy(); + removeDisplay(); +}; + +removeDisplay(); +""" + ) + + # start the task + self.page.evaluate( + r""" +Math.seedrandom({seed}); +core.EPISODE_MAX_TIME = {episode_max_time}; +core.startEpisodeReal(); +""".format( + seed=self.random.randint(0, 1000000), + episode_max_time=self.episode_max_time, + ) + ) + + # wait for the Miniwob task to have status ready + self.page.wait_for_function(r"""() => WOB_TASK_READY""") + + return self._get_goal(), self._get_info() + + def teardown(self) -> None: + pass # nothing to clean up + + def _get_goal(self) -> str: + response = self.page.evaluate(r"""() => core.getUtterance()""") + if isinstance(response, dict): + goal = response["utterance"] + else: + goal = response + return goal + + def _get_info(self) -> dict: + ( + REWARD_GLOBAL, + RAW_REWARD_GLOBAL, + REWARD_REASON, + DONE_GLOBAL, + EPISODE_ID, + TASK_READY, + ) = self.page.evaluate( + r"""() => [WOB_REWARD_GLOBAL, WOB_RAW_REWARD_GLOBAL, WOB_REWARD_REASON, WOB_DONE_GLOBAL, WOB_EPISODE_ID, WOB_TASK_READY]""" + ) + info = { + "REWARD_GLOBAL": REWARD_GLOBAL, + "RAW_REWARD_GLOBAL": RAW_REWARD_GLOBAL, + "REWARD_REASON": REWARD_REASON, + "DONE_GLOBAL": DONE_GLOBAL, + "EPISODE_ID": EPISODE_ID, + "TASK_READY": TASK_READY, + } + return info + + def validate( + self, page: playwright.sync_api.Page, chat_messages: list[str] + ) -> Tuple[float, bool, str, dict]: + if page != self.page: + return 0, True, "", {"error": "invalid page, terminating task"} + if page.url != self.url: + return 0, True, "", {"error": "invalid url, terminating task"} + + info = self._get_info() + reward = float(info["RAW_REWARD_GLOBAL"] > 0) # TODO: shouldn't it be 0.5? + done = info["DONE_GLOBAL"] + msg = "" + return reward, done, msg, info diff --git a/BrowserGym/browsergym/pyproject.toml b/BrowserGym/browsergym/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..26c9039cbf4548c28ab9247bcbd94346663b7c35 --- /dev/null +++ b/BrowserGym/browsergym/pyproject.toml @@ -0,0 +1,44 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools"] + +[project] +name = "browsergym" +description = "BrowserGym: a gym environment for web task automation in the Chromium browser" +authors = [ + {name = "Rim Assouel"}, + {name = "Léo Boisvert"}, + {name = "Massimo Caccia"}, + {name = "Alex Drouin"}, + {name = "Maxime Gasse"}, + {name = "Imene Kerboua"}, + {name = "Alex Lacoste"}, + {name = "Thibault Le Sellier De Chezelles"}, + {name = "Tom Marty"}, + {name = "Aman Jaiswal"}, +] +readme = "README.md" +requires-python = ">3.10" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: Apache Software License", +] +version="0.13.4" +dependencies = [ + "browsergym-core==0.13.4", + "browsergym-miniwob==0.13.4", + "browsergym-webarena==0.13.4", + "browsergym-visualwebarena==0.13.4", + "browsergym-assistantbench==0.13.4", + "browsergym-experiments==0.13.4", + "browsergym-workarena>=0.4.1", + "weblinx-browsergym>=0.0.2", +] + +[tool.setuptools] +packages = [] # meta distribution, packages are included as dependencies diff --git a/BrowserGym/browsergym/visualwebarena/README.md b/BrowserGym/browsergym/visualwebarena/README.md new file mode 100644 index 0000000000000000000000000000000000000000..23b6188ae396bc28f41284fcb2b7e812083e6c88 --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/README.md @@ -0,0 +1,51 @@ +# VisualWebArena benchmark for BrowserGym + +This package provides `browsergym.visualwebarena`, which is an unofficial port of the [VisualWebArena](https://jykoh.com/vwa) benchmark for BrowserGym. + +Note: the original VisualWebArena codebase has been slightly adapted to ensure compatibility. + + +## Server installation + +You have two options to setup your webarena instance: + - option 1: follow the official [visualwebarena README](https://github.com/web-arena-x/visualwebarena/blob/main/environment_docker/README.md) + - option 2: use our [unofficial setup scripts](https://github.com/gasse/webarena-setup/tree/main/visualwebarena) + +We recommend **option 2** as it allows you to easily customize the ports of each webarena domain, and offers a reset functionality that allwos browsergym to trigger a full instance reset remotely. + +## Setup + +1. Install the package +```sh +pip install browsergym-visualwebarena +``` + +2. Download tokenizer resources +```sh +python -c "import nltk; nltk.download('punkt_tab')" +``` + +3. Setup the URLs as environment variables. The ports for each domain here should correspond to those you used when setting up your webarena instance. Note also the `VWA_` prefix which is specific to browsergym. +```sh +BASE_URL= # example: "http://myazuremachine.eastus.cloudapp.azure.com" + +# visualwebarena environment variables (change ports as needed) +export VWA_CLASSIFIEDS="$BASE_URL:8083" +export VWA_CLASSIFIEDS_RESET_TOKEN="4b61655535e7ed388f0d40a93600254c" +export VWA_SHOPPING="$BASE_URL:8082" +export VWA_REDDIT="$BASE_URL:8080" +export VWA_WIKIPEDIA="$BASE_URL:8081" +export VWA_HOMEPAGE="$BASE_URL:80" + +# if your webarena instance offers the FULL_RESET feature (optional) +export VWA_FULL_RESET="$BASE_URL:7565" + +# otherwise, be sure to NOT set VWA_FULL_RESET, or set it to an empty string +export VWA_FULL_RESET="" +``` + +4. Setup an OpenAI API key + +```sh +export OPENAI_API_KEY=... +``` diff --git a/BrowserGym/browsergym/visualwebarena/pyproject.toml b/BrowserGym/browsergym/visualwebarena/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..0e0669c201c9568af8e6524faad7f249e35ee795 --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/pyproject.toml @@ -0,0 +1,35 @@ +[build-system] +requires = ["hatchling", "hatch-requirements-txt"] +build-backend = "hatchling.build" + +[project] +name = "browsergym-visualwebarena" +description = "VisualWebArena benchmark for BrowserGym" +authors = [ + {name = "Lawrence Jang"}, + {name = "Maxime Gasse"}, +] +readme = "README.md" +requires-python = ">3.7" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: Apache Software License", +] +dynamic = ["dependencies", "version"] + +[project.urls] +homepage = "https://github.com/ServiceNow/BrowserGym" + +[tool.hatch.version] +path = "../core/src/browsergym/core/__init__.py" + +[tool.hatch.metadata.hooks.requirements_txt] +files = ["requirements.txt"] + +[tool.hatch.build.targets.wheel] +packages = ["src/browsergym"] diff --git a/BrowserGym/browsergym/visualwebarena/requirements.txt b/BrowserGym/browsergym/visualwebarena/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..f450c295ed2406200226f50b1d793477030efe64 --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/requirements.txt @@ -0,0 +1,5 @@ +browsergym-core==0.13.4 +browsergym-webarena +libvisualwebarena==0.0.15 +requests +torch diff --git a/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/__init__.py b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..618875c37a3902b78835c2bff92a514bf911c44e --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/__init__.py @@ -0,0 +1,30 @@ +import nltk + +from browsergym.core.registration import register_task + +from . import config, task + +# download necessary tokenizer resources +# note: deprecated punkt -> punkt_tab https://github.com/nltk/nltk/issues/3293 +try: + nltk.data.find("tokenizers/punkt_tab") +except: + nltk.download("punkt_tab", quiet=True, raise_on_error=True) + +ALL_VISUALWEBARENA_TASK_IDS = [] +VISUALWEBARENA_TASK_IDS_WITH_RESET = [] +VISUALWEBARENA_TASK_IDS_WITHOUT_RESET = [] + +# register all VisualWebArena tasks +for task_id in config.TASK_IDS: + gym_id = f"visualwebarena.{task_id}" + register_task( + gym_id, + task.GenericVisualWebArenaTask, + task_kwargs={"task_id": task_id}, + ) + ALL_VISUALWEBARENA_TASK_IDS.append(gym_id) + if task_id in config.TASK_IDS_WITH_RESET: + VISUALWEBARENA_TASK_IDS_WITH_RESET.append(gym_id) + else: + VISUALWEBARENA_TASK_IDS_WITHOUT_RESET.append(gym_id) diff --git a/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/config.py b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/config.py new file mode 100644 index 0000000000000000000000000000000000000000..2077e7e06fdb791501fa822e4da64efe0d0361fa --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/config.py @@ -0,0 +1,72 @@ +TASK_IDS = range(910) + +# import visualwebarena +# import importlib.resources +# import json +# all_configs_str = importlib.resources.files(visualwebarena).joinpath("test_raw.json").read_text() +# all_configs = json.loads(all_configs_str) +# task_ids_with_reset = [task["task_id"] for task in all_configs if task["require_reset"] == True] +TASK_IDS_WITH_RESET = [ + 4, + 5, + 8, + 9, + 28, + 29, + 30, + 31, + 57, + 76, + 77, + 143, + 144, + 145, + 159, + 160, + 203, + 205, + 208, + 213, + 217, + 223, + 392, + 393, + 394, + 402, + 404, + 405, + 406, + 407, + 408, + 410, + 411, + 412, + 416, + 422, + 423, + 424, + 425, + 426, + 441, + 442, + 443, + 668, + 669, + 670, + 671, + 672, + 673, + 688, + 689, + 711, + 712, + 713, + 714, + 715, + 716, + 717, + 733, + 764, + 765, + 766, +] diff --git a/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/instance.py b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/instance.py new file mode 100644 index 0000000000000000000000000000000000000000..63936e8a9ceab73ab90cc251d4412bdaef2e8831 --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/instance.py @@ -0,0 +1,103 @@ +import logging +import os + +import playwright.sync_api + +# we inherit some code base from webarena to avoid too much duplication +from browsergym.webarena.instance import WebArenaInstance + +logger = logging.getLogger(__name__) + + +ENV_VARS = ("SHOPPING", "REDDIT", "WIKIPEDIA", "HOMEPAGE", "CLASSIFIEDS", "CLASSIFIEDS_RESET_TOKEN") + + +class VisualWebArenaInstance(WebArenaInstance): + """ + Utility class to access a WebArena instance. + + """ + + RESET_URL_VAR = "VWA_FULL_RESET" # used by full_reset() + + def __init__( + self, + ) -> None: + + # setup visualwebarena environment variables (visualwebarena will read those on import) + os.environ["DATASET"] = "visualwebarena" + append_vwa = lambda x: f"VWA_{x}" + for key in ENV_VARS: + assert append_vwa(key) in os.environ, ( + f"Environment variable {append_vwa(key)} missing.\n" + + "Please set the following environment variables to use VisualWebArena through BrowserGym:\n" + + "\n".join([append_vwa(x) for x in ENV_VARS]) + ) + os.environ[key] = os.environ[append_vwa(key)] + + # import webarena on instantiation + from visualwebarena.browser_env.env_config import ( + ACCOUNTS, + CLASSIFIEDS, + CLASSIFIEDS_RESET_TOKEN, + HOMEPAGE, + REDDIT, + SHOPPING, + WIKIPEDIA, + ) + + self.urls = { + "reddit": REDDIT, + "shopping": SHOPPING, + "wikipedia": WIKIPEDIA, + "classifieds": CLASSIFIEDS, + } + self.home_url = HOMEPAGE + self.classifieds_reset_token = CLASSIFIEDS_RESET_TOKEN + + self.credentials = ACCOUNTS + + def ui_login(self, site: str, page: playwright.sync_api.Page): + """ + Should only be called once per site (expects user to be logged out). + """ + + url = self.urls[site] + + # open a new page (tab) to perform the login + page = page.context.new_page() + + match site: + case "reddit": + username = self.credentials[site]["username"] + password = self.credentials[site]["password"] + page.goto(f"{url}") + page.get_by_role("link", name="Log in").click() + page.get_by_label("Username").fill(username) + page.get_by_label("Password").fill(password) + page.get_by_role("button", name="Log in").click() + case "shopping": + username = self.credentials[site]["username"] + password = self.credentials[site]["password"] + + page.goto(f"{url}/customer/account/login/") + page.get_by_label("Email", exact=True).fill(username) + page.get_by_label("Password", exact=True).fill(password) + page.get_by_role("button", name="Sign In").click() + + case "wikipedia": + page.goto(url) + + case "classifieds": + username = self.credentials[site]["username"] + password = self.credentials[site]["password"] + page.goto(f"{url}/index.php?page=login") + page.locator("#email").fill(username) + page.locator("#password").fill(password) + page.get_by_role("button", name="Log in").click() + + case _: + raise ValueError + + # release login page + page.close() diff --git a/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/task.py b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/task.py new file mode 100644 index 0000000000000000000000000000000000000000..41d2d304f8f0b08a5e0a1477c03349fb0d6b2bd5 --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/task.py @@ -0,0 +1,298 @@ +import importlib.resources +import json +import logging +import pathlib +import tempfile +import urllib.parse +from typing import Literal, Optional, Tuple + +import playwright.sync_api +import requests +import torch + +from browsergym.core.task import AbstractBrowserTask + +from .instance import VisualWebArenaInstance +from .utils import image_url_to_pil_image, pil_image_to_data_uri + +logger = logging.getLogger(__name__) + + +def _build_goal(config, with_na_hint: bool): + """ + Build an openai-style goal (list of messages) + - recovers the goal text from config + - download goal images if any + - save goal images to local files + - expose goal images as image_url messages using base64 encoding + - expose goal images as local file paths (if task requires to upload them) + """ + + # recover goal text + goal_text = config["intent"] + + # This note is present in some of webarena's agent prompts + if with_na_hint: + goal_text += """\ + +If you believe the task is impossible to complete, provide the answer "N/A". +""" + + # recover goal image urls + image_urls = config.get("image", []) + image_data_uris = [] + image_paths = [] + + # fix image list if needed + if image_urls is None: + image_urls = [] + elif isinstance(image_urls, str): + image_urls = [image_urls] + + # save images to local files in a temporary directory + temp_dir = pathlib.Path(tempfile.mkdtemp()) + for i, image_url in enumerate(image_urls): + # extract image content from url + image = image_url_to_pil_image(image_url) + format = image.format.lower() + # write image to local file + image_path = temp_dir / f"input_image_{i+1}.{format}" + image.save(image_path) + # save image path for the goal + image_paths.append(image_path) + # save image data as base64 for the goal + image_data_uris.append(pil_image_to_data_uri(image)) + + # build an OpenAI-style structured goal + # textual goal first + goal = [{"type": "text", "text": goal_text}] + # then goal images + for i, (image_url, image_data_uri, image_path) in enumerate( + zip(image_urls, image_data_uris, image_paths) + ): + goal.extend( + [ + # image description (id, filepath, url) + { + "type": "text", + "text": f"Input image {i+1}/{len(image_urls)} below (local path: {repr(image_path)}, url: {repr(image_url)})", + }, + # actual image (base64 image data URI) + { + "type": "image_url", + "image_url": { + "url": image_data_uri, # send data URI instead of URL (local urls might be inaccessible from the outside) + }, + }, + ] + ) + + return goal + + +class GenericVisualWebArenaTask(AbstractBrowserTask): + """ + Base class for all WebArena tasks. + + """ + + def __init__( + self, + seed: int, + task_id: Optional[int] = None, + intent_template_id: Optional[int] = None, + with_na_hint: bool = False, + eval_captioning_model_device: Literal["cpu", "cuda"] = "cpu", + ) -> None: + super().__init__(seed) + + # task properties, will be used to set up the browsergym environment + self.viewport = {"width": 1280, "height": 720} + self.slow_mo = 1000 # ms + self.timeout = 50000 # ms + + self.webarena_instance = VisualWebArenaInstance() + self.config_file: str = None + self.with_na_hint = with_na_hint + self.eval_captioning_model_device = eval_captioning_model_device + + # one and only one of task id and template id must be provided + if (task_id is None) == (intent_template_id is None): + raise ValueError( + f"One and only one of 'task_id' and 'intent_template_id' must be provided (task_id={task_id}, intent_template_id={intent_template_id})." + ) + + # read the list of all webarena task configs + import visualwebarena + + all_configs_str = ( + importlib.resources.files(visualwebarena).joinpath("test_raw.json").read_text() + ) + + # substitute URLs + for pattern, url in { + "__REDDIT__": self.webarena_instance.urls["reddit"], + "__SHOPPING__": self.webarena_instance.urls["shopping"], + "__WIKIPEDIA__": self.webarena_instance.urls["wikipedia"], + "__CLASSIFIEDS__": self.webarena_instance.urls["classifieds"], + "__HOMEPAGE__": self.webarena_instance.home_url, + }.items(): + all_configs_str = all_configs_str.replace(pattern, url) + + # load all task configs to JSON + all_configs = json.loads(all_configs_str) + + # keep only the desired task configs + if intent_template_id is not None: + task_configs = [ + conf for conf in all_configs if conf["intent_template_id"] == intent_template_id + ] + if not task_configs: + raise ValueError( + f"Could not find any task config with intent_template_id={intent_template_id}." + ) + + elif task_id is not None: + task_configs = [conf for conf in all_configs if conf["task_id"] == task_id] + if not task_configs: + raise ValueError( + f"Could not find any task config with task_id={intent_template_id}." + ) + + self.task_configs = task_configs + + def setup(self, page: playwright.sync_api.Page) -> tuple[str, dict]: + # import webarena on instanciation + from visualwebarena.evaluation_harness.evaluators import evaluator_router + from visualwebarena.evaluation_harness.image_utils import get_captioning_fn + + # pick a task at random + self.config = self.random.choice(self.task_configs) + + # hack: dynamically build a config file to read from + with tempfile.NamedTemporaryFile(mode="w+", delete=False) as f: + json.dump(self.config, f) + f.flush() + self.config_file = f.name + + # build the evaluator + from transformers.utils.logging import ( + disable_progress_bar, + enable_progress_bar, + is_progress_bar_enabled, + ) + + hide_progress_bar = is_progress_bar_enabled() + if hide_progress_bar: + disable_progress_bar() + captioning_fn = get_captioning_fn( + device=self.eval_captioning_model_device, + dtype=( + torch.float16 + if (self.eval_captioning_model_device == "cuda" and torch.cuda.is_available()) + else torch.float32 + ), + model_name="Salesforce/blip2-flan-t5-xl", + ) + if hide_progress_bar: + enable_progress_bar() + self.evaluator = evaluator_router(self.config_file, captioning_fn=captioning_fn) + + # reset instance if needed (classifieds domain only) + if self.config.get("require_reset", False): + if "classifieds" in self.config["sites"]: + # Send POST request to __CLASSIFIEDS__/index.php?page=reset with token=CLASSIFIEDS_TOKEN + response = requests.post( + f'{self.webarena_instance.urls["classifieds"]}/index.php?page=reset', + data={"token": self.webarena_instance.classifieds_reset_token}, + ) + + # Check if the request was successful + if not response.status_code == 200: + raise Exception(f"Failed to reset Classifieds site: {response.status_code}") + + logger.info("Reset Classifieds site successful.") + + # authenticate + for site in self.config["sites"]: + self.webarena_instance.ui_login(site=site, page=page) + + # set geolocation + page.context.set_geolocation(self.config["geolocation"]) + + # navigate to the starting url(s) (might need several pages) + # https://github.com/web-arena-x/webarena/blob/c6475f0e9affe5252a2966e26b8cb4c834a4ae40/browser_env/envs.py#L150 + if self.config["start_url"]: + start_urls = self.config["start_url"].split(" |AND| ") + for i, url in enumerate(start_urls): + page.goto(url) + if i < len(start_urls) - 1: + page = page.context.new_page() + + goal = _build_goal(self.config, with_na_hint=self.with_na_hint) + + return goal, {} + + def cheat(self, page: playwright.sync_api.Page, chat_messages: list[str]) -> None: + raise NotImplementedError + + @classmethod + def get_task_id(cls): + """ + Generic class for several task ids, this way of obtaining the task id is not compatible for now. + """ + raise NotImplementedError + + def teardown(self) -> None: + # Nothing to be done here + # https://github.com/web-arena-x/webarena/blob/c6475f0e9affe5252a2966e26b8cb4c834a4ae40/browser_env/envs.py#L227 + pass + + def validate( + self, page: playwright.sync_api.Page, chat_messages: list[str] + ) -> Tuple[float, bool, str, dict]: + + # safeguard: check that all open tabs are either blank or within the list of WebArena URLs + authorized_locations = ["newtab", ""] + [ + urllib.parse.urlparse(url).netloc + for url in [*self.webarena_instance.urls.values(), self.webarena_instance.home_url] + ] + for open_page in page.context.pages: + page_location = urllib.parse.urlparse(open_page.url).netloc + if not page_location in authorized_locations: + return 0, True, "", {"error": "Unauthorized url, terminating task"} + + # import webarena dynamically + from visualwebarena.browser_env.actions import ActionTypes + + # if any, use the last assistant message as the stop answer for webarena + if chat_messages and chat_messages[-1]["role"] == "assistant": + last_action = {"action_type": ActionTypes.STOP, "answer": chat_messages[-1]["message"]} + elif chat_messages and chat_messages[-1]["role"] == "infeasible": + last_action = {"action_type": ActionTypes.STOP, "answer": "N/A"} + else: + last_action = {"action_type": ActionTypes.NONE, "answer": ""} + # llm_fuzzy_match() bugfix + last_action["answer"] = "whatever" + + # hack: fake trajectory for evaluation (only last_action["answer"] is used in the webarena evaluation codebase) + trajectory = [{}, last_action] # StateInfo, Action + + # call the evaluator + try: + score = self.evaluator( + trajectory=trajectory, + config_file=self.config_file, + page=page, # none of webarena's evaluators requires a cdp session + ) + # llm_fuzzy_match() bugfix (assert "correct" in response) + except AssertionError: + logger.debug( + "llm_fuzzy_match() bugfix applied: AssertionError in evaluator, using score = 0.0" + ) + score = 0.0 + + if score > 0 or last_action["action_type"] == ActionTypes.STOP: + return score, True, "", {} + else: + return score, False, "", {} diff --git a/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/utils.py b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..c02d2f7233111784ee9afb96389a00cf4ef56e09 --- /dev/null +++ b/BrowserGym/browsergym/visualwebarena/src/browsergym/visualwebarena/utils.py @@ -0,0 +1,39 @@ +import base64 +import io +import PIL.Image +import requests + +from typing import Literal + + +def image_url_to_pil_image(image_url: str) -> PIL.Image: + if not image_url.startswith("http"): + raise ValueError(f"Unexpected image URL: {image_url}") + response = requests.get(image_url, stream=True) + if response.status_code != 200: + raise ValueError( + f"Could not download image from url {image_url} (status code {response.status_code})" + ) + img = PIL.Image.open(io.BytesIO(response.content)) + return img + + +def data_uri_to_pil_image(data_uri: str) -> PIL.Image: + if data_uri.startswith("data:image/png;base64,"): + image_data = base64.b64decode(data_uri.removeprefix("data:image/png;base64,")) + elif data_uri.startswith("data:image/jpeg;base64,"): + image_data = base64.b64decode(data_uri.removeprefix("data:image/jpeg;base64,")) + else: + raise ValueError(f"Unexpected image encoding: {data_uri}") + img = PIL.Image.open(io.BytesIO(image_data)) + return img + + +def pil_image_to_data_uri(image: PIL.Image, format: Literal["png", "jpeg"] = "png") -> str: + assert format in ("png", "jpeg") + with io.BytesIO() as image_buffer: + image.save(image_buffer, format=format.upper()) + byte_data = image_buffer.getvalue() + image_b64 = base64.b64encode(byte_data).decode("utf-8") + image_b64 = f"data:image/{format};base64," + image_b64 + return image_b64 diff --git a/BrowserGym/browsergym/webarena/README.md b/BrowserGym/browsergym/webarena/README.md new file mode 100644 index 0000000000000000000000000000000000000000..cb1416dc7d68391a04decf2d8d611878c001c4e6 --- /dev/null +++ b/BrowserGym/browsergym/webarena/README.md @@ -0,0 +1,53 @@ +# WebArena benchmark for BrowserGym + +This package provides `browsergym.webarena`, which is an unofficial port of the [WebArena](https://webarena.dev/) benchmark for BrowserGym. + +Note: the original WebArena codebase has been slightly adapted to ensure compatibility. + +## Server installation + +You have two options to setup your webarena instance: + - option 1: follow the official [webarena README](https://github.com/web-arena-x/webarena/blob/main/environment_docker/README.md) + - option 2: use our [unofficial setup scripts](https://github.com/gasse/webarena-setup/tree/main/webarena) + +We recommend **option 2** as it allows you to easily customize the ports of each webarena domain, and offers a reset functionality that allows browsergym to trigger a full instance reset remotely. + +## Setup + +1. Install the package +```sh +pip install browsergym-webarena +``` + +2. Download tokenizer resources +```sh +python -c "import nltk; nltk.download('punkt_tab')" +``` + +3. Setup the URLs as environment variables. The ports for each domain here should correspond to those you used when setting up your webarena instance. Note also the `WA_` prefix which is specific to browsergym. +```sh +BASE_URL= # example: "http://myazuremachine.eastus.cloudapp.azure.com" + +# webarena environment variables (change ports as needed) +export WA_SHOPPING="$BASE_URL:8082/" +export WA_SHOPPING_ADMIN="$BASE_URL:8083/admin" +export WA_REDDIT="$BASE_URL:8080" +export WA_GITLAB="$BASE_URL:9001" +export WA_WIKIPEDIA="$BASE_URL:8081/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing" +export WA_MAP="$BASE_URL:443" +export WA_HOMEPAGE="$BASE_URL:80" + +# if your webarena instance offers the FULL_RESET feature (optional) +export WA_FULL_RESET="$BASE_URL:7565" + +# otherwise, be sure to NOT set WA_FULL_RESET, or set it to an empty string +export WA_FULL_RESET="" +``` + +4. Setup an OpenAI API key + +```sh +export OPENAI_API_KEY=... +``` + +> **_NOTE:_** be mindful of costs, as WebArena will call GPT4 for certain evaluations ([llm_fuzzy_match](https://github.com/web-arena-x/webarena/blob/1469b7c9d8eaec3177855b3131569751f43a40d6/evaluation_harness/helper_functions.py#L146C5-L146C20)). diff --git a/BrowserGym/browsergym/webarena/pyproject.toml b/BrowserGym/browsergym/webarena/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..035b6d5a508f25021b31cafcd4b4d6e3e16e6abf --- /dev/null +++ b/BrowserGym/browsergym/webarena/pyproject.toml @@ -0,0 +1,35 @@ +[build-system] +requires = ["hatchling", "hatch-requirements-txt"] +build-backend = "hatchling.build" + +[project] +name = "browsergym-webarena" +description = "WebArena benchmark for BrowserGym" +authors = [ + {name = "Maxime Gasse"}, + {name = "Tom Marty"}, +] +readme = "README.md" +requires-python = ">3.7" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: Apache Software License", +] +dynamic = ["dependencies", "version"] + +[project.urls] +homepage = "https://github.com/ServiceNow/BrowserGym" + +[tool.hatch.version] +path = "../core/src/browsergym/core/__init__.py" + +[tool.hatch.metadata.hooks.requirements_txt] +files = ["requirements.txt"] + +[tool.hatch.build.targets.wheel] +packages = ["src/browsergym"] diff --git a/BrowserGym/browsergym/webarena/requirements.txt b/BrowserGym/browsergym/webarena/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..635396bdd1045c7874d30c169bdc1a783c2709a0 --- /dev/null +++ b/BrowserGym/browsergym/webarena/requirements.txt @@ -0,0 +1,2 @@ +browsergym-core==0.13.4 +libwebarena==0.0.4 diff --git a/BrowserGym/browsergym/webarena/src/browsergym/webarena/__init__.py b/BrowserGym/browsergym/webarena/src/browsergym/webarena/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f846436c94522ceac433f271e53a2c6493b27478 --- /dev/null +++ b/BrowserGym/browsergym/webarena/src/browsergym/webarena/__init__.py @@ -0,0 +1,24 @@ +import nltk + +from browsergym.core.registration import register_task + +from . import config, task + +# download necessary tokenizer resources +# note: deprecated punkt -> punkt_tab https://github.com/nltk/nltk/issues/3293 +try: + nltk.data.find("tokenizers/punkt_tab") +except: + nltk.download("punkt_tab", quiet=True, raise_on_error=True) + +ALL_WEBARENA_TASK_IDS = [] + +# register all WebArena benchmark +for task_id in config.TASK_IDS: + gym_id = f"webarena.{task_id}" + register_task( + gym_id, + task.GenericWebArenaTask, + task_kwargs={"task_id": task_id}, + ) + ALL_WEBARENA_TASK_IDS.append(gym_id) diff --git a/BrowserGym/browsergym/webarena/src/browsergym/webarena/config.py b/BrowserGym/browsergym/webarena/src/browsergym/webarena/config.py new file mode 100644 index 0000000000000000000000000000000000000000..b3aabb95e9c319d35b53e5317d970d5fe9a77a00 --- /dev/null +++ b/BrowserGym/browsergym/webarena/src/browsergym/webarena/config.py @@ -0,0 +1 @@ +TASK_IDS = range(812) diff --git a/BrowserGym/browsergym/webarena/src/browsergym/webarena/instance.py b/BrowserGym/browsergym/webarena/src/browsergym/webarena/instance.py new file mode 100644 index 0000000000000000000000000000000000000000..503560f6ac4dc3c759706c645201af70f7fa8b91 --- /dev/null +++ b/BrowserGym/browsergym/webarena/src/browsergym/webarena/instance.py @@ -0,0 +1,214 @@ +import logging +import os +import time + +import playwright.sync_api +import requests + +logger = logging.getLogger(__name__) + +ENV_VARS = ("SHOPPING", "SHOPPING_ADMIN", "REDDIT", "GITLAB", "WIKIPEDIA", "MAP", "HOMEPAGE") + + +class WebArenaInstance: + """ + Utility class to access a WebArena instance. + + """ + + RESET_URL_VAR = "WA_FULL_RESET" # used by full_reset() + + def __init__( + self, + ) -> None: + + # setup webarena environment variables (webarena will read those on import) + append_wa = lambda x: f"WA_{x}" + for key in ENV_VARS: + assert append_wa(key) in os.environ, ( + f"Environment variable {append_wa(key)} missing.\n" + + "Please set the following environment variables to use WebArena through BrowserGym:\n" + + "\n".join([append_wa(x) for x in ENV_VARS]) + ) + os.environ[key] = os.environ[append_wa(key)] + + # import webarena on instanciation + from webarena.browser_env.env_config import ( + ACCOUNTS, + GITLAB, + HOMEPAGE, + MAP, + REDDIT, + SHOPPING, + SHOPPING_ADMIN, + WIKIPEDIA, + ) + + self.urls = { + "reddit": REDDIT, + "gitlab": GITLAB, + "shopping": SHOPPING, + "shopping_admin": SHOPPING_ADMIN, + "wikipedia": WIKIPEDIA, + "map": MAP, + } + self.home_url = HOMEPAGE + + self.credentials = ACCOUNTS + + def full_reset(self, skip_if_not_set: bool = True): + base_url = os.environ.get(self.RESET_URL_VAR, None) + + if not base_url: + # check for reset URL + logger.error( + f"Environment variable {self.RESET_URL_VAR} is missing or empty, required for a full instance reset." + ) + if skip_if_not_set: + logger.warning( + f"Skipping automated reset. Make sure the instance has been manually reset." + ) + else: + raise RuntimeError(f"Could not reset instance, aborting.") + + else: + # reset the instance + reset_url = f"{base_url}/reset" + status_url = f"{base_url}/status" + + logger.info( + f"Initiating {self.__class__.__name__} instance reset on URL {reset_url}. Should take between 200 - 500 seconds to restart." + ) + + # trigger instance reset + response = requests.get(reset_url) + match response.status_code: + case 200: + logger.info(f"Reset started.") + case 418: + logger.warning("Reset was already running.") + case _: + raise Exception( + f"{self.__class__.__name__} reset request {reset_url} failed ({response.status_code}): {response.text}" + ) + + # wait until reset complete + retry_after = 20 # 20 seconds wait between status checks + timeout = 10 * 60 # 10 minutes timeout + start_time = time.time() + while True: + # request instance status + response = requests.get(status_url) + # check for server error + if response.status_code != 200: + raise Exception( + f"{self.__class__.__name__} status request {status_url} failed ({response.status_code}): {response.text}" + ) + # check for readiness + if response.text == "Ready for duty!": + break + # check for timeout + time_elapsed = time.time() - start_time + logger.info(f"Reset still running after {time_elapsed:.0f} seconds...") + if time_elapsed > timeout: + raise Exception( + f"Reset still running after {time_elapsed} seconds (> {timeout}), aborting." + ) + # wait a bit before next retry + time.sleep(retry_after) + + # warm-start the instance (navigate to every domain) + retries_left = 3 + while retries_left: + retries_left -= 1 + try: + self._check_is_reachable( + timeout=60 + ) # 60 seconds, warming up after reset might be slow + break + except Exception as e: + if not retries_left: + raise + logger.info( + f"Instance unresponsive after reset, retrying ({retries_left} retries left)\n{e}" + ) + + def check_status(self): + """ + Check the status of the instance. Raises an error if the instance is not ready to be used. + + """ + self._check_is_reachable(timeout=10) # 10 seconds + + def _check_is_reachable(self, timeout: int): + """ + Test that every website is reachable. + + """ + for site, url in self.urls.items(): + try: + requests.get(url, timeout=timeout) + except (requests.exceptions.ConnectionError, requests.exceptions.Timeout): + raise RuntimeError( + f'WebArena site "{site}" ({url}) is not reacheable. Please check the URL.' + ) + + def ui_login(self, site: str, page: playwright.sync_api.Page): + """ + Should only be called once per site (expects user to be logged out). + """ + + url = self.urls[site] + + # open a new page (tab) to perform the login + page = page.context.new_page() + + match site: + case "reddit": + username = self.credentials[site]["username"] + password = self.credentials[site]["password"] + + page.goto(f"{url}") + page.get_by_role("link", name="Log in").click() + page.get_by_label("Username").fill(username) + page.get_by_label("Password").fill(password) + page.get_by_role("button", name="Log in").click() + + case "gitlab": + username = self.credentials[site]["username"] + password = self.credentials[site]["password"] + + page.goto(f"{url}/users/sign_in") + page.get_by_label("Username or email").fill(username) + page.get_by_label("Password").fill(password) + page.get_by_role("button", name="Sign in").click() + + case "shopping": + username = self.credentials[site]["username"] + password = self.credentials[site]["password"] + + page.goto(f"{url}/customer/account/login/") + page.get_by_label("Email", exact=True).fill(username) + page.get_by_label("Password", exact=True).fill(password) + page.get_by_role("button", name="Sign In").click() + + case "shopping_admin": + username = self.credentials[site]["username"] + password = self.credentials[site]["password"] + + page.goto(url) + page.get_by_label("Username").fill(username) + page.get_by_label("Password").fill(password) + page.get_by_role("button", name="Sign in").click() + + case "wikipedia": + page.goto(url) + + case "map": + page.goto(url) + + case _: + raise ValueError + + # release login page + page.close() diff --git a/BrowserGym/browsergym/webarena/src/browsergym/webarena/task.py b/BrowserGym/browsergym/webarena/src/browsergym/webarena/task.py new file mode 100644 index 0000000000000000000000000000000000000000..182a1137c6d608f546aeefdcbd720743ea13d21c --- /dev/null +++ b/BrowserGym/browsergym/webarena/src/browsergym/webarena/task.py @@ -0,0 +1,203 @@ +import importlib.resources +import json +import logging +import tempfile +import urllib.parse +from typing import Optional, Tuple + +import numpy as np +import playwright.sync_api + +from browsergym.core.task import AbstractBrowserTask + +from .instance import WebArenaInstance + +logger = logging.getLogger(__name__) + + +class GenericWebArenaTask(AbstractBrowserTask): + """ + Base class for all WebArena tasks. + + """ + + def __init__( + self, + seed: int, + task_id: Optional[int] = None, + intent_template_id: Optional[int] = None, + with_na_hint: bool = False, + with_homepage_hint: bool = False, + ) -> None: + super().__init__(seed) + + # task properties, will be used to set up the browsergym environment + self.viewport = {"width": 1280, "height": 720} + self.slow_mo = 1000 # ms + self.timeout = 50000 # ms + + self.webarena_instance = WebArenaInstance() + self.config_file: str = None + self.with_na_hint = with_na_hint + self.with_homepage_hint = with_homepage_hint + + # one and only one of task id and template id must be provided + if (task_id is None) == (intent_template_id is None): + raise ValueError( + f"One and only one of 'task_id' and 'intent_template_id' must be provided (task_id={task_id}, intent_template_id={intent_template_id})." + ) + + # read the list of all webarena task configs + import webarena + + all_configs_str = importlib.resources.files(webarena).joinpath("test.raw.json").read_text() + + # substitute URLs + for pattern, url_key in { + "__GITLAB__": "gitlab", + "__REDDIT__": "reddit", + "__SHOPPING__": "shopping", + "__SHOPPING_ADMIN__": "shopping_admin", + "__WIKIPEDIA__": "wikipedia", + "__MAP__": "map", + }.items(): + all_configs_str = all_configs_str.replace(pattern, self.webarena_instance.urls[url_key]) + + # load all task configs to JSON + all_configs = json.loads(all_configs_str) + + # keep only the desired task configs + if intent_template_id is not None: + task_configs = [ + conf for conf in all_configs if conf["intent_template_id"] == intent_template_id + ] + if not task_configs: + raise ValueError( + f"Could not find any task config with intent_template_id={intent_template_id}." + ) + + elif task_id is not None: + task_configs = [conf for conf in all_configs if conf["task_id"] == task_id] + if not task_configs: + raise ValueError( + f"Could not find any task config with task_id={intent_template_id}." + ) + + self.task_configs = task_configs + + def setup(self, page: playwright.sync_api.Page) -> tuple[str, dict]: + # import webarena on instanciation + from webarena.evaluation_harness.evaluators import evaluator_router + + # pick a task at random + self.config = self.random.choice(self.task_configs) + + # hack: dynamically build a config file to read from + with tempfile.NamedTemporaryFile(mode="w+", delete=False) as f: + json.dump(self.config, f) + f.flush() + self.config_file = f.name + + # build the evaluator + self.evaluator = evaluator_router(self.config_file) + + # authenticate + for site in self.config["sites"]: + self.webarena_instance.ui_login(site=site, page=page) + + # set geolocation + page.context.set_geolocation(self.config["geolocation"]) + + # navigate to the starting url(s) (might need several pages) + # https://github.com/web-arena-x/webarena/blob/c6475f0e9affe5252a2966e26b8cb4c834a4ae40/browser_env/envs.py#L150 + if self.config["start_url"]: + start_urls = self.config["start_url"].split(" |AND| ") + for i, url in enumerate(start_urls): + page.goto(url) + if i < len(start_urls) - 1: + page = page.context.new_page() + + # recover goal + goal = self.config["intent"] + + # This note is present in all webarena's agent prompts + # https://github.com/web-arena-x/webarena/blob/c6475f0e9affe5252a2966e26b8cb4c834a4ae40/agent/prompts/raw/p_cot_id_actree_2s.py#L34 + if self.with_homepage_hint: + goal += f""" + +(Note: if you want to visit other websites, check out the homepage at {self.webarena_instance.home_url}. It has a list of websites you can visit. {self.webarena_instance.home_url}/password.html lists all the account name and password for the websites. You can use them to log in to the websites.) +""" + + # This note is present in some of webarena's agent prompts + if self.with_na_hint: + goal += """\ + +If you believe the task is impossible to complete, provide the answer "N/A". +""" + + return goal, {} + + def cheat(self, page: playwright.sync_api.Page, chat_messages: list[str]) -> None: + raise NotImplementedError + + @classmethod + def get_task_id(cls): + """ + Generic class for several task ids, this way of obtaining the task id is not compatible for now. + """ + raise NotImplementedError + + def teardown(self) -> None: + # Nothing to be done here + # https://github.com/web-arena-x/webarena/blob/c6475f0e9affe5252a2966e26b8cb4c834a4ae40/browser_env/envs.py#L227 + pass + + def validate( + self, page: playwright.sync_api.Page, chat_messages: list[str] + ) -> Tuple[float, bool, str, dict]: + + # safeguard: check that all open tabs are either blank or within the list of WebArena URLs + authorized_locations = ["newtab", ""] + [ + urllib.parse.urlparse(url).netloc + for url in [*self.webarena_instance.urls.values(), self.webarena_instance.home_url] + ] + for open_page in page.context.pages: + page_location = urllib.parse.urlparse(open_page.url).netloc + if not page_location in authorized_locations: + return 0, True, "", {"error": "Unauthorized url, terminating task"} + + # import webarena dynamically + from webarena.browser_env.actions import ActionTypes + + # if any, use the last assistant message as the stop answer for webarena + if chat_messages and chat_messages[-1]["role"] == "assistant": + last_action = {"action_type": ActionTypes.STOP, "answer": chat_messages[-1]["message"]} + elif chat_messages and chat_messages[-1]["role"] == "infeasible": + last_action = {"action_type": ActionTypes.STOP, "answer": "N/A"} + else: + last_action = {"action_type": ActionTypes.NONE, "answer": ""} + # llm_fuzzy_match() bugfix + last_action["answer"] = "whatever" + + # hack: fake trajectory for evaluation (only last_action["answer"] is used in the webarena evaluation codebase) + trajectory = [{}, last_action] # StateInfo, Action + + # call the evaluator + try: + score = self.evaluator( + trajectory=trajectory, + config_file=self.config_file, + page=page, + client=None, # none of webarena's evaluators requires a cdp session + ) + # llm_fuzzy_match() bugfix (assert "correct" in response) + except AssertionError: + logger.debug( + "llm_fuzzy_match() bugfix applied: AssertionError in evaluator, using score = 0.0" + ) + score = 0.0 + + if score > 0 or last_action["action_type"] == ActionTypes.STOP: + return score, True, "", {} + else: + return score, False, "", {} diff --git a/BrowserGym/demo_agent/README.md b/BrowserGym/demo_agent/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e08e703c39056aca6a1d940c8fdc953510145739 --- /dev/null +++ b/BrowserGym/demo_agent/README.md @@ -0,0 +1,5 @@ +## Install demo-agent + +conda env create -f environment.yml +conda activate demo-agent +playwright install chromium diff --git a/BrowserGym/demo_agent/agent.py b/BrowserGym/demo_agent/agent.py new file mode 100644 index 0000000000000000000000000000000000000000..632c0bbc7f08d1dc6a2b94fbf5d713d188eeab40 --- /dev/null +++ b/BrowserGym/demo_agent/agent.py @@ -0,0 +1,356 @@ +import base64 +import dataclasses +import io +import logging + +import numpy as np +import openai +from PIL import Image + +from browsergym.core.action.highlevel import HighLevelActionSet +from browsergym.core.action.python import PythonActionSet +from browsergym.experiments import AbstractAgentArgs, Agent +from browsergym.utils.obs import flatten_axtree_to_str, flatten_dom_to_str, prune_html + +logger = logging.getLogger(__name__) + + +def image_to_jpg_base64_url(image: np.ndarray | Image.Image): + """Convert a numpy array to a base64 encoded image url.""" + + if isinstance(image, np.ndarray): + image = Image.fromarray(image) + if image.mode in ("RGBA", "LA"): + image = image.convert("RGB") + + with io.BytesIO() as buffer: + image.save(buffer, format="JPEG") + image_base64 = base64.b64encode(buffer.getvalue()).decode() + + return f"data:image/jpeg;base64,{image_base64}" + + +class DemoAgent(Agent): + """A basic agent using OpenAI API, to demonstrate BrowserGym's functionalities.""" + + def obs_preprocessor(self, obs: dict) -> dict: + + return { + "chat_messages": obs["chat_messages"], + "screenshot": obs["screenshot"], + "goal_object": obs["goal_object"], + "last_action": obs["last_action"], + "last_action_error": obs["last_action_error"], + "open_pages_urls": obs["open_pages_urls"], + "open_pages_titles": obs["open_pages_titles"], + "active_page_index": obs["active_page_index"], + "axtree_txt": flatten_axtree_to_str(obs["axtree_object"]), + "pruned_html": prune_html(flatten_dom_to_str(obs["dom_object"])), + } + + def __init__( + self, + model_name: str, + chat_mode: bool, + demo_mode: str, + use_html: bool, + use_axtree: bool, + use_screenshot: bool, + ) -> None: + super().__init__() + self.model_name = model_name + self.chat_mode = chat_mode + self.use_html = use_html + self.use_axtree = use_axtree + self.use_screenshot = use_screenshot + + if not (use_html or use_axtree): + raise ValueError(f"Either use_html or use_axtree must be set to True.") + + self.openai_client = openai.OpenAI() + + self.action_set = HighLevelActionSet( + subsets=["chat", "tab", "nav", "bid", "infeas"], # define a subset of the action space + # subsets=["chat", "bid", "coord", "infeas"] # allow the agent to also use x,y coordinates + strict=False, # less strict on the parsing of the actions + multiaction=False, # does not enable the agent to take multiple actions at once + demo_mode=demo_mode, # add visual effects + ) + # use this instead to allow the agent to directly use Python code + # self.action_set = PythonActionSet()) + + self.action_history = [] + + def get_action(self, obs: dict) -> tuple[str, dict]: + system_msgs = [] + user_msgs = [] + + if self.chat_mode: + system_msgs.append( + { + "type": "text", + "text": f"""\ +# Instructions + +You are a UI Assistant, your goal is to help the user perform tasks using a web browser. You can +communicate with the user via a chat, to which the user gives you instructions and to which you +can send back messages. You have access to a web browser that both you and the user can see, +and with which only you can interact via specific commands. + +Review the instructions from the user, the current state of the page and all other information +to find the best possible next action to accomplish your goal. Your answer will be interpreted +and executed by a program, make sure to follow the formatting instructions. +""", + } + ) + # append chat messages + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Chat Messages +""", + } + ) + for msg in obs["chat_messages"]: + if msg["role"] in ("user", "assistant", "infeasible"): + user_msgs.append( + { + "type": "text", + "text": f"""\ +- [{msg['role']}] {msg['message']} +""", + } + ) + elif msg["role"] == "user_image": + user_msgs.append({"type": "image_url", "image_url": msg["message"]}) + else: + raise ValueError(f"Unexpected chat message role {repr(msg['role'])}") + + else: + assert obs["goal_object"], "The goal is missing." + system_msgs.append( + { + "type": "text", + "text": f"""\ +# Instructions + +Review the current state of the page and all other information to find the best +possible next action to accomplish your goal. Your answer will be interpreted +and executed by a program, make sure to follow the formatting instructions. +""", + } + ) + # append goal + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Goal +""", + } + ) + # goal_object is directly presented as a list of openai-style messages + user_msgs.extend(obs["goal_object"]) + + # append url of all open tabs + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Currently open tabs +""", + } + ) + for page_index, (page_url, page_title) in enumerate( + zip(obs["open_pages_urls"], obs["open_pages_titles"]) + ): + user_msgs.append( + { + "type": "text", + "text": f"""\ +Tab {page_index}{" (active tab)" if page_index == obs["active_page_index"] else ""} + Title: {page_title} + URL: {page_url} +""", + } + ) + + # append page AXTree (if asked) + if self.use_axtree: + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Current page Accessibility Tree + +{obs["axtree_txt"]} + +""", + } + ) + # append page HTML (if asked) + if self.use_html: + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Current page DOM + +{obs["pruned_html"]} + +""", + } + ) + + # append page screenshot (if asked) + if self.use_screenshot: + user_msgs.append( + { + "type": "text", + "text": """\ +# Current page Screenshot +""", + } + ) + user_msgs.append( + { + "type": "image_url", + "image_url": { + "url": image_to_jpg_base64_url(obs["screenshot"]), + "detail": "auto", + }, # Literal["low", "high", "auto"] = "auto" + } + ) + + # append action space description + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Action Space + +{self.action_set.describe(with_long_description=False, with_examples=True)} + +Here are examples of actions with chain-of-thought reasoning: + +I now need to click on the Submit button to send the form. I will use the click action on the button, which has bid 12. +```click("12")``` + +I found the information requested by the user, I will send it to the chat. +```send_msg_to_user("The price for a 15\\" laptop is 1499 USD.")``` + +""", + } + ) + + # append past actions (and last error message) if any + if self.action_history: + user_msgs.append( + { + "type": "text", + "text": f"""\ +# History of past actions +""", + } + ) + user_msgs.extend( + [ + { + "type": "text", + "text": f"""\ + +{action} +""", + } + for action in self.action_history + ] + ) + + if obs["last_action_error"]: + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Error message from last action + +{obs["last_action_error"]} + +""", + } + ) + + # ask for the next action + user_msgs.append( + { + "type": "text", + "text": f"""\ +# Next action + +You will now think step by step and produce your next best action. Reflect on your past actions, any resulting error message, and the current state of the page before deciding on your next action. +""", + } + ) + + prompt_text_strings = [] + for message in system_msgs + user_msgs: + match message["type"]: + case "text": + prompt_text_strings.append(message["text"]) + case "image_url": + image_url = message["image_url"] + if isinstance(message["image_url"], dict): + image_url = image_url["url"] + if image_url.startswith("data:image"): + prompt_text_strings.append( + "image_url: " + image_url[:30] + "... (truncated)" + ) + else: + prompt_text_strings.append("image_url: " + image_url) + case _: + raise ValueError( + f"Unknown message type {repr(message['type'])} in the task goal." + ) + full_prompt_txt = "\n".join(prompt_text_strings) + logger.info(full_prompt_txt) + + # query OpenAI model + response = self.openai_client.chat.completions.create( + model=self.model_name, + messages=[ + {"role": "system", "content": system_msgs}, + {"role": "user", "content": user_msgs}, + ], + ) + action = response.choices[0].message.content + + self.action_history.append(action) + + return action, {} + + +@dataclasses.dataclass +class DemoAgentArgs(AbstractAgentArgs): + """ + This class is meant to store the arguments that define the agent. + + By isolating them in a dataclass, this ensures serialization without storing + internal states of the agent. + """ + + model_name: str = "gpt-4o-mini" + chat_mode: bool = False + demo_mode: str = "off" + use_html: bool = False + use_axtree: bool = True + use_screenshot: bool = False + + def make_agent(self): + return DemoAgent( + model_name=self.model_name, + chat_mode=self.chat_mode, + demo_mode=self.demo_mode, + use_html=self.use_html, + use_axtree=self.use_axtree, + use_screenshot=self.use_screenshot, + ) diff --git a/BrowserGym/demo_agent/environment.yml b/BrowserGym/demo_agent/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..a1a4f216ca9aeeeede36a4c2c89e582ee3c5cac5 --- /dev/null +++ b/BrowserGym/demo_agent/environment.yml @@ -0,0 +1,13 @@ +name: demo-agent + +channels: + - huggingface + - conda-forge + - defaults + +dependencies: + - python>=3.10 + - pip + + - pip: + - -r requirements.txt diff --git a/BrowserGym/demo_agent/requirements.txt b/BrowserGym/demo_agent/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaa7842fdc69a0caa905d372ca9ecddbb8da1525 --- /dev/null +++ b/BrowserGym/demo_agent/requirements.txt @@ -0,0 +1,3 @@ +browsergym +openai +opencv-python diff --git a/BrowserGym/demo_agent/run_demo.py b/BrowserGym/demo_agent/run_demo.py new file mode 100644 index 0000000000000000000000000000000000000000..82cc2c9601fc885ebd06c373653353b7e33ab291 --- /dev/null +++ b/BrowserGym/demo_agent/run_demo.py @@ -0,0 +1,124 @@ +import argparse + +# locally defined agent +from agent import DemoAgentArgs + +# browsergym experiments utils +from browsergym.experiments import EnvArgs, ExpArgs, get_exp_result + + +def str2bool(v): + if isinstance(v, bool): + return v + if v.lower() in ("yes", "true", "t", "y", "1"): + return True + elif v.lower() in ("no", "false", "f", "n", "0"): + return False + else: + raise argparse.ArgumentTypeError("Boolean value expected.") + + +def parse_args(): + parser = argparse.ArgumentParser(description="Run experiment with hyperparameters.") + parser.add_argument( + "--model_name", + type=str, + default="gpt-4o-mini", + help="OpenAI model name.", + ) + parser.add_argument( + "--task_name", + type=str, + default="openended", + help="Name of the Browsergym task to run. If 'openended', you need to specify a 'start_url'", + ) + parser.add_argument( + "--start_url", + type=str, + default="https://www.google.com", + help="Starting URL (only for the openended task).", + ) + parser.add_argument( + "--visual_effects", + type=str2bool, + default=True, + help="Add visual effects when the agents performs actions.", + ) + parser.add_argument( + "--use_html", + type=str2bool, + default=False, + help="Use HTML in the agent's observation space.", + ) + parser.add_argument( + "--use_axtree", + type=str2bool, + default=True, + help="Use AXTree in the agent's observation space.", + ) + parser.add_argument( + "--use_screenshot", + type=str2bool, + default=False, + help="Use screenshot in the agent's observation space.", + ) + + return parser.parse_args() + + +def main(): + print( + """\ +--- WARNING --- +This is a basic agent for demo purposes. +Visit AgentLab for more capable agents with advanced features. +https://github.com/ServiceNow/AgentLab""" + ) + + args = parse_args() + + # setting up agent config + agent_args = DemoAgentArgs( + model_name=args.model_name, + chat_mode=False, + demo_mode="default" if args.visual_effects else "off", + use_html=args.use_html, + use_axtree=args.use_axtree, + use_screenshot=args.use_screenshot, + ) + + # setting up environment config + env_args = EnvArgs( + task_name=args.task_name, + task_seed=None, + max_steps=100, + headless=False, # keep the browser open + # viewport={"width": 1500, "height": 1280}, # can be played with if needed + ) + + # for openended task, set environment and agent to interactive chat mode on a start url + if args.task_name == "openended": + agent_args.chat_mode = True + env_args.wait_for_user_message = True + env_args.task_kwargs = {"start_url": args.start_url} + + # setting up the experiment + exp_args = ExpArgs( + env_args=env_args, + agent_args=agent_args, + ) + + # running and logging results + exp_args.prepare("./results") + exp_args.run() + + # loading and printing results + exp_result = get_exp_result(exp_args.exp_dir) + exp_record = exp_result.get_exp_record() + + for key, val in exp_record.items(): + print(f"{key}: {val}") + + +if __name__ == "__main__": + main() diff --git a/BrowserGym/dev/environment.yaml b/BrowserGym/dev/environment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..698128e2a035a1774ddedb840d6bdb552d88519e --- /dev/null +++ b/BrowserGym/dev/environment.yaml @@ -0,0 +1,13 @@ +name: browsergym-dev + +channels: + - huggingface + - conda-forge + - defaults + +dependencies: + - python>=3.10 + - pip + + - pip: + - -r requirements.txt \ No newline at end of file diff --git a/BrowserGym/dev/requirements.txt b/BrowserGym/dev/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..c406ac7fc3ca8086f2b87039ee86bb4a5791d2d7 --- /dev/null +++ b/BrowserGym/dev/requirements.txt @@ -0,0 +1,15 @@ +black[jupyter]==24.2.0 +blacken-docs +pre-commit +pytest==7.3.2 +pytest-xdist +pytest-playwright +tenacity +-e ../browsergym/core # local package +-e ../browsergym/miniwob # local package +-e ../browsergym/webarena # local package +-e ../browsergym/visualwebarena # local package +-e ../browsergym/experiments # local package +-e ../browsergym/assistantbench # local package +browsergym-workarena +weblinx_browsergym diff --git a/BrowserGym/docs/Makefile b/BrowserGym/docs/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..4cb8328965952c4439c514e0d27fc94f7b68ddf9 --- /dev/null +++ b/BrowserGym/docs/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = src +BUILDDIR = build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) \ No newline at end of file diff --git a/BrowserGym/docs/requirements.txt b/BrowserGym/docs/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff1f2bba1945bb2b47ae4e076044055976a9aecf --- /dev/null +++ b/BrowserGym/docs/requirements.txt @@ -0,0 +1,9 @@ +sphinx==7.3.7 +# sphinx-rtd-theme==2.0.0 +pydata-sphinx-theme == 0.15.3 +sphinx_design==0.6.0 +-e browsergym/core/ +-e browsergym/miniwob/ +-e browsergym/webarena/ +-e browsergym/visualwebarena/ +-e browsergym/experiments/ diff --git a/BrowserGym/docs/src/api.rst b/BrowserGym/docs/src/api.rst new file mode 100644 index 0000000000000000000000000000000000000000..a5f91c3a6b1446a7b926d9f5e7d972fb8b2411e2 --- /dev/null +++ b/BrowserGym/docs/src/api.rst @@ -0,0 +1,24 @@ +API +=== + +Core +____ + +.. toctree:: + core/core.rst + + +Action and Observation Spaces +_____________________________ + +.. toctree:: + core/action_space.rst + core/observation_space.rst + +Environments +____________ + +.. toctree:: + environments/miniwob.rst + environments/webarena.rst + environments/workarena.rst diff --git a/BrowserGym/docs/src/conf.py b/BrowserGym/docs/src/conf.py new file mode 100644 index 0000000000000000000000000000000000000000..fbec84f01094b119a6f9b01d5965687b64ea7f60 --- /dev/null +++ b/BrowserGym/docs/src/conf.py @@ -0,0 +1,58 @@ +# Configuration file for the Sphinx documentation builder. + +# -- Project information + +project = "BrowserGym" +copyright = "2024, ServiceNow Research" +author = "ServiceNow Research" + +version = "0.13.3" +release = version + +# -- General configuration + +extensions = [ + "sphinx.ext.duration", + "sphinx.ext.doctest", + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx_design", +] + +intersphinx_mapping = { + "python": ("https://docs.python.org/3/", None), + "sphinx": ("https://www.sphinx-doc.org/en/master/", None), +} +intersphinx_disabled_domains = ["std"] + +templates_path = ["_templates"] +fixed_sidebar = True + +# -- Options for HTML output + +# Automatically extract typehints when specified and place them in +# descriptions of the relevant function/method. +# autodoc_typehints = "description" + +# Don't show class signature with the class' name. +# autodoc_class_signature = "separated" + +html_theme = "pydata_sphinx_theme" + +html_theme_options = { + "show_nav_level": 2, + "navigation_depth": 2, + "show_toc_level": 2, + "icon_links": [ + { + "name": "GitHub", + "url": "https://github.com/ServiceNow/BrowserGym", + "icon": "fa-brands fa-square-github", + "type": "fontawesome", + } + ], +} + +# -- Options for EPUB output +epub_show_urls = "footnote" diff --git a/BrowserGym/docs/src/core/action_space.rst b/BrowserGym/docs/src/core/action_space.rst new file mode 100644 index 0000000000000000000000000000000000000000..37b4c9bfa4085aa2453254b5a91e079b2cd1317f --- /dev/null +++ b/BrowserGym/docs/src/core/action_space.rst @@ -0,0 +1,100 @@ +Action space +____________ + +The action space is a set of primitives that the agent can use to interact with the environment. +The primitives are divided into categories based on the type of interaction they perform. +Below a list of the primitives supported by BrowserGym: + ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| Category | Primitive | Description | ++==========+===========================================================+==============================================================================================+ +| bid | fill(bid, text) | Fill an input field with text. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | click(bid, button) | Click an element. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | dblclick(bid, button) | Double-click an element. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | hover(bid) | Hover the mouse over an element. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | press(bid, key comb) | Focus an element and press a combination of keys. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | focus(bid) | Focus an element. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | clear(bid) | Clear an input field. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | select_option(bid, options) | Select one or multiple options in a drop-down element. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | drag_and_drop(from bid, to bid) | Drag and drop one element to another. | ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| coord | mouse_move(x, y) | Move the mouse to a location. | +| | | then press and hold a mouse button. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | mouse_up(x, y, button) | Move the mouse to a location then release a mouse button. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | mouse_click(x, y, button) | Move the mouse to a location and click a mouse button. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | mouse_dblclick(x, y, button) | Move the mouse to a location and double-click a mouse button. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | mouse_drag_and_drop(from x, from y, to x, to y) | Drag and drop from a location to a location. | ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| keyboard | keyboard_down(key) | Press and holds a keyboard key. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | keyboard_up(key) | Release a keyboard key. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | keyboard_press(key comb) | Press a combination of keys. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | keyboard_type(text) | Types a string of text through the keyboard. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | keyboard_inset_text(text) | Insert a string of text in the currently focused element. | ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| tab | new_tab() | Open a new tab. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | tab_close() | Close the current tab. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | tab_focus(index) | Bring a tab to front (activate tab). | ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| nav | go_back() | Navigate to the previous page in history. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | go_forward() | Navigate to the next page in history. | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | goto(url) | Navigate to a url. | ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| misc | scroll(dx, dy) | | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | send_msg_to_user(text) | | ++ +-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| | noop() | Do nothing. | ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ +| python | Any python code (UNSAFE!) | Executes code with playwright, the active page and the send msg to user primitive available. | ++----------+-----------------------------------------------------------+----------------------------------------------------------------------------------------------+ + +Example +""""""" + +.. code-block:: python + + import gymnasium as gym + import browsergym.workarena + import time + + env = gym.make( + "browsergym/workarena.servicenow.filter-asset-list", + headless=False, + ) + + try: + obs, info = env.reset(seed=10) + + # Perform the following sequence of actions + actions = ["click('a46')", "click('a2157')", "fill('a2164', 'Asset tag')"] + + for action in actions: + obs, reward, terminated, truncated, info = env.step(action) + # Sleep for 3 seconds to see the effect of the action + time.sleep(3) + + finally: + env.close() + + +For more details please refer to the `WorkArena paper `_. \ No newline at end of file diff --git a/BrowserGym/docs/src/core/core.rst b/BrowserGym/docs/src/core/core.rst new file mode 100644 index 0000000000000000000000000000000000000000..9c33422d01fdbfa8b443ba1a35edc543f4e06459 --- /dev/null +++ b/BrowserGym/docs/src/core/core.rst @@ -0,0 +1,24 @@ +BrowserGym API +^^^^^^^^^^^^^^ + +BrowserEnv +"""""""""" + +.. autoclass:: browsergym.core.env.BrowserEnv + :members: + :show-inheritance: + +Chat +"""" + +.. autoclass:: browsergym.core.env.Chat + :members: + :show-inheritance: + +Task +"""" + +.. autoclass:: browsergym.core.task.AbstractBrowserTask + :members: + :show-inheritance: + diff --git a/BrowserGym/docs/src/core/observation_space.rst b/BrowserGym/docs/src/core/observation_space.rst new file mode 100644 index 0000000000000000000000000000000000000000..989c58aecb9114059593cdbc7383b4035e8f4fb4 --- /dev/null +++ b/BrowserGym/docs/src/core/observation_space.rst @@ -0,0 +1,4 @@ +Observation space +_________________ + +For more details refer to the `WorkArena paper `_. diff --git a/BrowserGym/docs/src/environments/miniwob.rst b/BrowserGym/docs/src/environments/miniwob.rst new file mode 100644 index 0000000000000000000000000000000000000000..cbfdab248ebbee8b61b95a099da359135a2a75ab --- /dev/null +++ b/BrowserGym/docs/src/environments/miniwob.rst @@ -0,0 +1,40 @@ +MiniWoB++ +^^^^^^^^^ + +`BrowserGym` integrates `MiniWoB++` enviroment. For more information about this enviroment, please refer to the `MiniWoB+ `_ official documentation. + + +BrowserGym API +"""""""""""""" + +.. currentmodule:: browsergym + +.. autosummary:: + :recursive: + :toctree: generated + :caption: MiniWoB++ + + miniwob + + +Usage +""""" + +Before running the sample code, install `MiniWoB++` by following the steps in the `docs `_. + +.. code-block:: python + + import gym + import browsergym.minwob + + env = gym.make('browsergym/miniwob.book-flight') + obs, info = env.reset() + done = False + + while not done: + action = "noop()" + obs, reward, terminated, truncated, info = env.step(action) + print(f"Reward: {reward}, Done: {done}, Info: {info}") + + env.close() + diff --git a/BrowserGym/docs/src/environments/webarena.rst b/BrowserGym/docs/src/environments/webarena.rst new file mode 100644 index 0000000000000000000000000000000000000000..6163952dac66e2d96d26b44c65bc0e66d097d386 --- /dev/null +++ b/BrowserGym/docs/src/environments/webarena.rst @@ -0,0 +1,40 @@ +WebArena +^^^^^^^^ + +`BrowserGym` integrates `WebArena` enviroment. For more information about this enviroment, please refer to the `WebArena `_ official documentation. + + +BrowserGym API +"""""""""""""" + +.. currentmodule:: browsergym + +.. autosummary:: + :recursive: + :toctree: generated + :caption: WebArena + + webarena + + +Usage +""""" + +Before running the sample code, install `WebArena` by following the steps in the `docs `_. + +.. code-block:: python + + import gym + import browsergym.webarena + + env = gym.make('browsergym/webarena.10') + obs, info = env.reset() + done = False + + while not done: + action = "noop()" + obs, reward, terminated, truncated, info = env.step(action) + print(f"Reward: {reward}, Done: {done}, Info: {info}") + + env.close() + diff --git a/BrowserGym/docs/src/environments/workarena.rst b/BrowserGym/docs/src/environments/workarena.rst new file mode 100644 index 0000000000000000000000000000000000000000..332137527c9dc73d05bf5c747fe5767dce5b8b45 --- /dev/null +++ b/BrowserGym/docs/src/environments/workarena.rst @@ -0,0 +1,83 @@ +WorkArena +^^^^^^^^^ + +`BrowserGym` integrates `WebArena` enviroment. For more information about this enviroment, please refer to the `WorkArena `_ official documentation. + + +BrowserGym API +"""""""""""""" + +.. currentmodule:: browsergym + +.. autosummary:: + :recursive: + :toctree: generated + :caption: WorkArena + + workarena + + +Usage +""""" + +**Create a ServiceNow Developer Instance** + +* Go to https://developer.servicenow.com/ and create an account. + +* Click on Request an instance and select the Washington release (initializing the instance will take a few minutes) + +* Once the instance is ready, you should see your instance URL and credentials. If not, click Return to the Developer Portal, then navigate to Manage instance password and click Reset instance password. + +* You should now see your URL and credentials. Based on this information, set the following environment variables: + + * SNOW_INSTANCE_URL: The URL of your ServiceNow developer instance + + * SNOW_INSTANCE_UNAME: The username, should be "admin" + + * SNOW_INSTANCE_PWD: The password, make sure you place the value in quotes "" and be mindful of escaping special shell characters. Running echo $SNOW_INSTANCE_PWD should print the correct password. + +* Log into your instance via a browser using the admin credentials. Close any popup that appears on the main screen (e.g., agreeing to analytics). + + +**Install WorkArena and Initialize your Instance** + +Run the following command to install WorkArena in the BrowswerGym environment: + +.. code:: bash + + pip install browsergym-workarena + + +Then, run this command in a terminal to upload the benchmark data to your ServiceNow instance: + +.. code:: bash + + workarena-install + + +Finally, install Playwright: + +.. code:: bash + + playwright install chromium + + +Your installation is now complete! 🎉 + +**Run a task from the benchmark suite** + +.. code-block:: python + + import gym + import browsergym.workarena + + env = gym.make("browsergym/workarena.servicenow.filter-asset-list") + obs, info = env.reset() + done = False + + while not done: + action = "noop()" + obs, reward, terminated, truncated, info = env.step(action) + print(f"Reward: {reward}, Done: {done}, Info: {info}") + + env.close() diff --git a/BrowserGym/docs/src/examples/create_custom_task.rst b/BrowserGym/docs/src/examples/create_custom_task.rst new file mode 100644 index 0000000000000000000000000000000000000000..3f2d13aa91a892ca888aab04626f3ecbfb038d7a --- /dev/null +++ b/BrowserGym/docs/src/examples/create_custom_task.rst @@ -0,0 +1,133 @@ +Creating a custom task +______________________ + +Creating a custom task in `BrowserGym` can be done easily by inheriting from the `AbstractBrowserTask` class. + + +Let's start with an example, we will build a task that starts from the Google Search page and asks for the Eiffel Tower Wikipedia page. + +* **Goal**: Search for 'Eiffel Tower' Wikipedia page. + +* **Reward**: Gets reward = 1 if reaches the expected Wikipedia page on Eiffel Tower, else gets 0. + +.. code-block:: python + + from typing import Tuple + + import playwright.sync_api + from browsergym.core.task import AbstractBrowserTask + + + class SampleTask(AbstractBrowserTask): + def __init__(self, seed: int) -> None: + super().__init__(seed) + + @classmethod + def get_task_id(cls): + return "sample_task" + + +First, let's setup the task. To do this, we need to implement the `setup()` function. The starting point is *https://www.google.com* page and the goal is *"Search for 'Eiffel Tower' Wikipedia page"*. + +.. code-block:: python + + class SampleTask(AbstractBrowserTask): + # ... + # Code above + # ... + + def setup(self, page: playwright.sync_api.Page) -> Tuple[str, dict]: + """Set up everything needed to execute the task.""" + page.goto("https://www.google.com", timeout=10000) + goal = "Search for 'Eiffel Tower' Wikipedia page." + info = {} + return goal, info + + +Next, we need to compute a reward. For this, we'll implement our validation criteria in the `validate()` function. In our case, we consider the task being completed when the Eiffel Tower Wikipedia page is reached. Else it's a fail. + +.. code-block:: python + + class SampleTask(AbstractBrowserTask): + # ... + # Code above + # ... + + def validate( + self, page: playwright.sync_api.Page, chat_messages: list[str] + ) -> Tuple[float, bool, str, dict]: + """Compute reward based on reaching final URL.""" + if page.url == "https://en.wikipedia.org/wiki/Eiffel_Tower": + return 1.0, True, "Task completed", {} + else: + return 0.0, False, "", {} + + +We can also implement the code for completing the task, it's an oracle (a.k.a. cheat) version. For this, we'll fill out the `cheat()` function. + +.. code-block:: python + + class SampleTask(AbstractBrowserTask): + # ... + # Code above + # ... + + def cheat(self, page: playwright.sync_api.Page, chat_messages: list[str]) -> None: + """Solve the task in a single step using a hard-coded Playwright solution.""" + page.get_by_text("Search").fill("Eiffel Tower") + page.get_by_text("Google Search").click() + page.get_by_text("Eiffel Tower - Wikipedia").click() + + +Finally, the `teardown()` function. This function allows to clean resources before closing the enviroment. In our case, nothing need to be done, so we will leave it empty. + +.. code-block:: python + + class SampleTask(AbstractBrowserTask): + # ... + # Code above + # ... + + def teardown(self) -> None: + # Nothing to do for this task. + pass + + +Our folder structure should look like the following: + +.. code-block:: bash + + . + |── tasks + | ├── __init__.py + | └── sample_task.py + ├── run_task.py + + +Now we should register the task in the gym environment using the following code in the `__init__.py` of your package: + +.. code-block:: python + + from browsergym.core.registration import register_task + + from .sample_task import SampleTask + + register_task(id=SampleTask.get_task_id(), task_class=SampleTask) + + +Now that the task is registered it can be called via this code that you can put in `run_task.py` file: + +.. code-block:: python + + import gymnasium as gym + import tasks # will register the gym environment + + env = gym.make("browsergym/sample_task") + obs, info = env.reset() + done = False + + while not done: + action = "noop()" + obs, reward, terminated, truncated, info = env.step(action) + print(f"Reward: {reward}, Done: {done}, Info: {info}") + diff --git a/BrowserGym/docs/src/examples/walkthrough.rst b/BrowserGym/docs/src/examples/walkthrough.rst new file mode 100644 index 0000000000000000000000000000000000000000..c09240079d820201fe1a6c91aa0987ff5272d54f --- /dev/null +++ b/BrowserGym/docs/src/examples/walkthrough.rst @@ -0,0 +1,21 @@ +Walkthrough +___________ + + +Boilerplate code to run an agent on an interactive, open-ended task: + +.. code-block:: python + + import gymnasium as gym + import browsergym.core # register the openended task as a gym environment + + env = gym.make( + "browsergym/openended", task_kwargs={"start_url": "https://www.google.com/"}, wait_for_user_message=True + ) + + obs, info = env.reset() + done = False + while not done: + action = ... # implement your agent here + obs, reward, terminated, truncated, info = env.step(action) + done = terminated or truncated \ No newline at end of file diff --git a/BrowserGym/docs/src/index.rst b/BrowserGym/docs/src/index.rst new file mode 100644 index 0000000000000000000000000000000000000000..0cadc95038c26ff63a3c85b7f5952c262a99dc17 --- /dev/null +++ b/BrowserGym/docs/src/index.rst @@ -0,0 +1,20 @@ +Welcome to BrowserGym's documentation! +====================================== + +**BrowserGym** is a Python library that provides a `gym environment `_ +for web task automation in the Chromium browser. It includes the following benchmarks by default: +`MiniWob++ `_, `WebArena `_, `WorkArena `_. + +.. note:: + + This project is under active development. + +Contents +-------- + +.. toctree:: + :maxdepth: 2 + + usage + api + tutorials diff --git a/BrowserGym/docs/src/tutorials.rst b/BrowserGym/docs/src/tutorials.rst new file mode 100644 index 0000000000000000000000000000000000000000..01f5bcdb67769cd04b4d1e7c01e11fa9d0741bf6 --- /dev/null +++ b/BrowserGym/docs/src/tutorials.rst @@ -0,0 +1,26 @@ +Tutorials +========= + +This section provides tutorials to help build new environments and tasks. + +.. grid:: 2 + :gutter: 2 + + .. grid-item-card:: Walkthrough + :link: examples/walkthrough.html + + :bdg-primary:`Getting started` + + .. grid-item-card:: Create a custom task + :link: examples/create_custom_task.html + + :bdg-primary:`Custom task` + + + +.. toctree:: + :maxdepth: 1 + :hidden: + + examples/walkthrough.rst + examples/create_custom_task.rst diff --git a/BrowserGym/docs/src/usage.rst b/BrowserGym/docs/src/usage.rst new file mode 100644 index 0000000000000000000000000000000000000000..038ca6d93508754bea95f4f7d8c7ddabbfc8e3f6 --- /dev/null +++ b/BrowserGym/docs/src/usage.rst @@ -0,0 +1,42 @@ +Usage +===== + +.. _installation: + +Installation +------------ + +To use BrowserGym, first install it using pip: + +.. code-block:: console + + pip install browsergym + +Then, a required step is to setup playwright by running + +.. code-block:: console + + playwright install chromium + +Example code +------------ + +Boilerplate code to run an agent on an interactive, open-ended task: + +.. code-block:: python + + import gymnasium as gym + import browsergym.core # register the openended task as a gym environment + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": "https://www.google.com/"}, # starting URL + wait_for_user_message=True, # wait for a user message after each agent message sent to the chat + ) + + obs, info = env.reset() + done = False + while not done: + action = ... # implement your agent here + obs, reward, terminated, truncated, info = env.step(action) + done = terminated or truncated diff --git a/BrowserGym/pyproject.toml b/BrowserGym/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..68b016a511ba078a6a0614b47af3d6026d04f83c --- /dev/null +++ b/BrowserGym/pyproject.toml @@ -0,0 +1,33 @@ +[project] +name = "browsergym-meta" +description = "BrowserGym: a gym environment for web task automation in the Chromium browser" +dynamic = ["version"] +[tool.setuptools] +packages = [] # meta distribution, packages are included as dependencies +[tool.black] +line-length = 100 +include = '\.pyi?$' +exclude = ''' +/( + \.eggs + | \.git + | \.hg + | \.mypy_cache + | \.nox + | \.tox + | \.venv + | _build + | buck-out + | build + | dist +)/ +''' + +[tool.pytest.ini_options] +filterwarnings = [ + 'ignore::UserWarning:gymnasium.*:', # too many "The obs is not within the observation space." warnings. +] +markers = [ + "slow: marks tests as slow (deselect with '-m \"not slow\"')", + "serial: mark test to be run sequantially (deselect with '-m \"not serial\"')" +] diff --git a/BrowserGym/tests/__init__.py b/BrowserGym/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/BrowserGym/tests/assistantbench/__init__.py b/BrowserGym/tests/assistantbench/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/BrowserGym/tests/assistantbench/data/fallback_gpt4_seeplanact_predictions.jsonl b/BrowserGym/tests/assistantbench/data/fallback_gpt4_seeplanact_predictions.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..04c1bf8931e9aca6493316f7f4703ba2f4c95d92 --- /dev/null +++ b/BrowserGym/tests/assistantbench/data/fallback_gpt4_seeplanact_predictions.jsonl @@ -0,0 +1,33 @@ +{"id": "2aa5dd83fbcd0dce9a3dd4592106e5b5edf738008d932e357d477bba80e59ccf", "answer": "\\( \\frac{2}{7} \\times 100 \\approx 28.57 \\)", "gold_answer": "14.2", "score": 0, "has_ans": 1.0} +{"id": "2ddae3b7a208e3c25f14d82d7a1faaaa1832fbf950b4dac345e755c4c361f294", "answer": 800000.0, "gold_answer": "1010000", "score": 0.7669061178326222, "has_ans": 1.0} +{"id": "4e615af6f0348597b4133cc1ec5418bb3f35328e3d95e23a275027cee97b5e09", "answer": [], "gold_answer": "Adrenalinpark K\u00f6ln", "score": 0.0, "has_ans": 0} +{"id": "c7afe00869f98cf363fd83677ac41757ed5e57f03eacc3d1304feb0a92084bd1", "answer": "Knives Out", "gold_answer": "Glass Onion: A Knives Out Mystery", "score": 0.5714285714285715, "has_ans": 1.0} +{"id": "57d9dc6935e8a40b02e7f8ec81768fe70e68a0c05f6866927c9fda38db38a486", "answer": "-$108", "gold_answer": "45", "score": 0, "has_ans": 1.0} +{"id": "748899d9d70c09beb3bd48ac8a3658bdcfd2f9114fe6dc4c4b8d2f9541ef4607", "answer": [{"sender": "dhl", "price (usd)": "50"}, {"sender": "fedex", "price (usd)": "60"}], "gold_answer": "{\"sender\": \"DHL\", \"price (usd)\": \"55-70\"}\n{\"sender\": \"Fedex\", \"price (usd)\": \"62-95\"}\n{\"sender\": \"USPS\", \"price (usd)\": \"73.4-78.15\"}", "score": 0.3333333333333333, "has_ans": 1.0} +{"id": "9e31099fffa6a3891c94934fd4fc2f3f522d51c1904ff3561f3a10e4bf245821", "answer": "oshrat binyamin", "gold_answer": "Shiran Nawi, Yoni Osherov, Daniel Lereya", "score": 0.0, "has_ans": 1.0} +{"id": "291b53e665b4dd4365cde995042db4a6f6fecef3fe3a6f4482f23d61bd673918", "answer": "ftp://ftp.ncbi.nlm.nih.gov/genomes/all/gcf_002288925.1_asm228892v2/gcf_002288925.1_asm228892v2_genomic.gff.gz", "gold_answer": "https://ftp.ensembl.org/pub/release-101/gff3/delphinapterus_leucas/Delphinapterus_leucas.ASM228892v3.101.gff3.gz", "score": 0.0, "has_ans": 1.0} +{"id": "8fa42360185068216f2919935148d4e1ad28ddc18da0abd0f4bb0b6b6f84b127", "answer": "vgt", "gold_answer": "VGT", "score": 1.0, "has_ans": 1.0} +{"id": "3af8028c2a59e28ca88baff0e6d91f2a9f170c5ef91003f1c8406755a2760ad4", "answer": "Oko, Thief of Crowns", "gold_answer": "Oko, Thief of Crowns", "score": 1.0, "has_ans": 1.0} +{"id": "6b06d186921b8b390c65aebd0d16f09f60a47d2f1288ebe36953f734e84c0a3c", "answer": "", "gold_answer": "1148 sqft", "score": 0.0, "has_ans": 0.0} +{"id": "9bdca8677af1e25cb7b0c7992dc62670c3e58e4afcd5ae60bcaa2483556bba00", "answer": ["'{\"sender\": \"usps\", \"price (usd)\": 25}'"], "gold_answer": "{\"sender\": \"USPS\", \"price (usd)\": \"41.75\"}", "score": 0, "has_ans": 1.0} +{"id": "557e78eceec08ca8b0da5f9fdaca6e1c7ec6140a8ce600983ee716327dab005e", "answer": "Wolly Mammoth", "gold_answer": "For Pete's Sake", "score": 0.0, "has_ans": 1.0} +{"id": "fb9ba3ab6a13d0adc677f993e90d54914a5cdf211305a1bba6bf16ec4ccb9b7c", "answer": "Instagram", "gold_answer": "Linkedin", "score": 0.0, "has_ans": 1.0} +{"id": "52f7224e9c79431e7926afe317782711a0028750693e7456cde22ef6f4bd8bd5", "answer": "Nosferatu the Vampyre", "gold_answer": "Nosferatu the Vampyre", "score": 1.0, "has_ans": 1.0} +{"id": "0ec4371851b96837b0a81b3dd3df401415061bb532fbafeb4609f3337c358508", "answer": ["anytime fitness", "point pleasant wellness center"], "gold_answer": "The Root Sports & Fitness Center\nMuscle Headz Gym", "score": 0.16666666666666666, "has_ans": 1.0} +{"id": "6f224e7730ed027cbac73aebb1aea7f954053082041b02b19f4ff126a0a8a208", "answer": "Gina DiGioia", "gold_answer": "Gina DiGioia", "score": 1.0, "has_ans": 1.0} +{"id": "99da66d8af02491f98b98c56b26c709e773b5a2ad945fb280375951ba600de09", "answer": 250.0, "gold_answer": "395", "score": 0.5425751529611245, "has_ans": 1.0} +{"id": "ccec2229ced20a4b0cb4897e3a99120a3017ea030903e01c9bda6b13d40b0b14", "answer": "", "gold_answer": "McDonald's", "score": 0.0, "has_ans": 0.0} +{"id": "9baaa267c95f9d8b75741ee9169c50563d297cfa592c20deaffd30dbc5984c74", "answer": 16.67, "gold_answer": "31.67", "score": 0.3582408362121543, "has_ans": 1.0} +{"id": "6e3be83d1949fa52cba03fb1ce4b5b3bf7e37a83fd7d67694b10b2e439d90cf8", "answer": "wall street boxing & fitness", "gold_answer": "Renzo Gracie Jiu-Jitsu Wall Street", "score": 0.4, "has_ans": 1.0} +{"id": "e2dc3a6b10b762e8aba7fa4d4e70f757f6d04dcbc8b56c48fc53fd9928d31d07", "answer": 40.0, "gold_answer": "30", "score": 0.7123179275482192, "has_ans": 1.0} +{"id": "f88066d274e265edd6cd9d61cd80a41accb3a14baf2297652fdd05cdf716d455", "answer": "lower yosemite fall trail", "gold_answer": "Yosemite Falls\nBridalveil Fall", "score": 0.16666666666666666, "has_ans": 1.0} +{"id": "e6bc98089608217e45b6956a46518fe3cce64a799b3ac43c6974c449ae14c408", "answer": 2140000.0, "gold_answer": "3080000", "score": 0.635876232048277, "has_ans": 1.0} +{"id": "8ad84bd6fe38481ba49e7ad1f6fbd43219a999074e5c6fc940003281f55ec65b", "answer": ["trader joe's", "whole foods market", "aldi"], "gold_answer": "Potash Markets - Clark Street", "score": 0.0, "has_ans": 1.0} +{"id": "55f4258484c5b398956133128a50462a767da211f8f72aa5ac5bbffb9bcbba1a", "answer": "Becker", "gold_answer": "CSI: Cyber", "score": 0.0, "has_ans": 1.0} +{"id": "4dbedc5e1a0205e14b7ff3ba89bce3060dab15d0ada3b7e1351a6f2aa8287aec", "answer": 95.0, "gold_answer": "$55", "score": 0.4534562936319301, "has_ans": 1.0} +{"id": "929b45f34805280d77c61d1e093e3d4e551d77ddb6ecd73552b12b1af286388d", "answer": "http://hgdownload.soe.ucsc.edu/goldenpath/canfam3/bigzips/", "gold_answer": "ftp://ftp.broadinstitute.org/distribution/assemblies/mammals/dog/canFam3.1/", "score": 0.0, "has_ans": 1.0} +{"id": "cca4776df3c73e7f9430a2e624aafad056b14322a0b7ca6c0c22b7e7f3f0890a", "answer": "monica c. lozano", "gold_answer": "Wanda Austin\nRonald D. Sugar\nSue Wagner", "score": 0.0, "has_ans": 1.0} +{"id": "efc0f3a47e9ed2ecdbcc037c2093865fe6e39f4d413a5d1ccdc7357160a4606b", "answer": "fidelity emerging asia fund (fseax)", "gold_answer": "Fidelity\u00ae Emerging Markets Index Fund (FPADX)", "score": 0.3636363636363636, "has_ans": 1.0} +{"id": "b36ef2d8f2643b80e74a44ce3403f674ecb2aed7fd36afeaa289061a59feef92", "answer": "crunch fitness - east village", "gold_answer": "CrossFit East River\nAvea Pilates", "score": 0.14285714285714288, "has_ans": 1.0} +{"id": "a9074997e698f912b9e751779ea19c1e92fa148404e90e0ae997acea3f9559b0", "answer": ["uncle tom's trail", "mount washburn", "fairy falls"], "gold_answer": "Trout lake trail\nArtist Point\nFountain Paint Pot\nLone Star Geyser\nStorm Point Trail", "score": 0.06666666666666667, "has_ans": 1.0} +{"id": "797f7a5b65ca28b7e7156e7db1e9f117bd4a021de0cd512bfdbb0be897d89eab", "answer": ["red bamboo", "quantum leap"], "gold_answer": "Shanghai villa", "score": 0.0, "has_ans": 1.0} \ No newline at end of file diff --git a/BrowserGym/tests/assistantbench/test_env_general.py b/BrowserGym/tests/assistantbench/test_env_general.py new file mode 100644 index 0000000000000000000000000000000000000000..6a2c2e44f3849ad2b49e36893f6c50a705a34595 --- /dev/null +++ b/BrowserGym/tests/assistantbench/test_env_general.py @@ -0,0 +1,49 @@ +import logging +import os +import random + +import gymnasium as gym +import playwright.sync_api +import pytest +from tenacity import retry, retry_if_exception_type, stop_after_attempt + +# register gym environments +import browsergym.assistantbench + +__SLOW_MO = 1000 if "DISPLAY_BROWSER" in os.environ else None +__HEADLESS = False if "DISPLAY_BROWSER" in os.environ else True + + +from browsergym.assistantbench import TEST_AB_TASK_IDS, VALID_AB_TASK_IDS + +rng = random.Random(1) +valid_task_ids = rng.sample(VALID_AB_TASK_IDS, 10) +test_task_ids = rng.sample(TEST_AB_TASK_IDS, 10) + + +@retry( + stop=stop_after_attempt(5), + retry=retry_if_exception_type(playwright.sync_api.TimeoutError), + reraise=True, + before_sleep=lambda _: logging.info("Retrying due to a TimeoutError..."), +) +@pytest.mark.parametrize("task_id", valid_task_ids + test_task_ids) +@pytest.mark.slow +def test_valid_env(task_id): + env = gym.make( + f"browsergym/{task_id}", + headless=__HEADLESS, + slow_mo=__SLOW_MO, + ) + obs, info = env.reset() + assert not obs["last_action_error"] + + obs, reward, terminated, truncated, info = env.step("noop(0)") + assert not obs["last_action_error"] + assert not (terminated or truncated) + + obs, reward, terminated, truncated, info = env.step('send_msg_to_user("something")') + assert not obs["last_action_error"] + assert terminated + + env.close() diff --git a/BrowserGym/tests/assistantbench/test_evaluation.py b/BrowserGym/tests/assistantbench/test_evaluation.py new file mode 100644 index 0000000000000000000000000000000000000000..4973d7158f780b0397ff669f7051e44fcfd8d0a5 --- /dev/null +++ b/BrowserGym/tests/assistantbench/test_evaluation.py @@ -0,0 +1,77 @@ +import json +import pathlib + +import gymnasium as gym +import pytest + +from browsergym.assistantbench.evaluation.evaluator import question_scorer +from browsergym.experiments.benchmark.metadata.utils import ( + task_list_from_metadata, + task_metadata, +) + +__DATA_DIR = pathlib.Path(__file__).resolve().parent / "data" + +metadata = task_metadata("assistantbench") +file_path = pathlib.Path(__DATA_DIR) / "fallback_gpt4_seeplanact_predictions.jsonl" + +data_points = {} + +# Open the JSONL file and read each line as a JSON object +with open(file_path, "r") as f: + for line in f: + data_point = json.loads(line) + + original_id = data_point["id"] + answer = data_point["answer"] + gold_answer = data_point["gold_answer"] + score = data_point["score"] + has_ans = data_point["has_ans"] + + data_points[original_id] = { + "task_id": task_list_from_metadata(metadata, {"original_id": original_id})[0], + "answer": answer, + "gold_answer": gold_answer, + "score": score, + "has_ans": has_ans, + } + + +@pytest.mark.parametrize("original_id", list(data_points.keys())) +def test_evaluate(original_id: str): + + answer = data_points[original_id]["answer"] + gold_answer = data_points[original_id]["gold_answer"] + expected_score = data_points[original_id]["score"] + expected_has_ans = data_points[original_id]["has_ans"] + + score, has_ans = question_scorer(answer, gold_answer) + + # Assert if the expected results doesn't match + assert score == expected_score + assert has_ans == expected_has_ans + + +@pytest.mark.parametrize( + "original_id", + [id for id in data_points.keys() if isinstance(data_points[id]["answer"], (str, float, int))], +) +@pytest.mark.slow +def test_evaluate_within_env(original_id: str): + + task_id = data_points[original_id]["task_id"] + answer = data_points[original_id]["answer"] + expected_score = data_points[original_id]["score"] + + env = gym.make( + f"browsergym/{task_id}", + ) + obs, info = env.reset() + assert not obs["last_action_error"] + + obs, reward, terminated, truncated, info = env.step(f"send_msg_to_user({repr(str(answer))})") + assert not obs["last_action_error"] + assert terminated + assert reward == expected_score + + env.close() diff --git a/BrowserGym/tests/core/__init__.py b/BrowserGym/tests/core/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..75f09d6fbde51609da41e1041eb3fb8125d808cb --- /dev/null +++ b/BrowserGym/tests/core/__init__.py @@ -0,0 +1,2 @@ +# bugfix: use same playwright instance in browsergym and pytest +from ..utils import setup_playwright diff --git a/BrowserGym/tests/core/data/basic_iframe_site/basic_iframe.html b/BrowserGym/tests/core/data/basic_iframe_site/basic_iframe.html new file mode 100644 index 0000000000000000000000000000000000000000..e2e61c694f20f358274a32f62c0cb74b6a63286b --- /dev/null +++ b/BrowserGym/tests/core/data/basic_iframe_site/basic_iframe.html @@ -0,0 +1,37 @@ + + + + Iframe Example + + + + + + + + + diff --git a/BrowserGym/tests/core/data/basic_iframe_site/basic_iframe_2.html b/BrowserGym/tests/core/data/basic_iframe_site/basic_iframe_2.html new file mode 100644 index 0000000000000000000000000000000000000000..d8e51b6ce1a4b8deebfd02868dd44e42e3a12158 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_iframe_site/basic_iframe_2.html @@ -0,0 +1,12 @@ + + + + Simple Website + + + + + + + + diff --git a/BrowserGym/tests/core/data/basic_iframe_site/inner-iframe.html b/BrowserGym/tests/core/data/basic_iframe_site/inner-iframe.html new file mode 100644 index 0000000000000000000000000000000000000000..6cb49db9ca79b79111698aa23d975a1900296298 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_iframe_site/inner-iframe.html @@ -0,0 +1,23 @@ + + + + + Inner Iframe + + + + +

Iframe Level 2

+ + + + + diff --git a/BrowserGym/tests/core/data/basic_iframe_site/outer-iframe.html b/BrowserGym/tests/core/data/basic_iframe_site/outer-iframe.html new file mode 100644 index 0000000000000000000000000000000000000000..b71a077f2b374005894c2804aa9bf827e139d213 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_iframe_site/outer-iframe.html @@ -0,0 +1,30 @@ + + + + Shadow DOM Example + + + +
+
+
+ +
+ + diff --git a/BrowserGym/tests/core/data/basic_shadow_dom_site/basic_shadow_dom.html b/BrowserGym/tests/core/data/basic_shadow_dom_site/basic_shadow_dom.html new file mode 100644 index 0000000000000000000000000000000000000000..242678f9696f448afffe5e5523aa36704fe6ec95 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_shadow_dom_site/basic_shadow_dom.html @@ -0,0 +1,52 @@ + + + + Unit Test with Complex Nested Shadow DOM + + +
+
+ + + + diff --git a/BrowserGym/tests/core/data/basic_shadow_dom_site/simple_shadow_dom.html b/BrowserGym/tests/core/data/basic_shadow_dom_site/simple_shadow_dom.html new file mode 100644 index 0000000000000000000000000000000000000000..fdcc8ceca07f897be41996144dd2a895d1a02229 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_shadow_dom_site/simple_shadow_dom.html @@ -0,0 +1,22 @@ + + + + Unit Test with Complex Nested Shadow DOM + + +
+ + + + diff --git a/BrowserGym/tests/core/data/basic_shadow_iframe_site/basic_iframe.html b/BrowserGym/tests/core/data/basic_shadow_iframe_site/basic_iframe.html new file mode 100644 index 0000000000000000000000000000000000000000..e2e61c694f20f358274a32f62c0cb74b6a63286b --- /dev/null +++ b/BrowserGym/tests/core/data/basic_shadow_iframe_site/basic_iframe.html @@ -0,0 +1,37 @@ + + + + Iframe Example + + + + + + + + + diff --git a/BrowserGym/tests/core/data/basic_shadow_iframe_site/basic_iframe_2.html b/BrowserGym/tests/core/data/basic_shadow_iframe_site/basic_iframe_2.html new file mode 100644 index 0000000000000000000000000000000000000000..dbcd6756822e81b68bdee21ec36944613b682826 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_shadow_iframe_site/basic_iframe_2.html @@ -0,0 +1,12 @@ + + + + Simple Website + + + + + + + + diff --git a/BrowserGym/tests/core/data/basic_shadow_iframe_site/inner-iframe.html b/BrowserGym/tests/core/data/basic_shadow_iframe_site/inner-iframe.html new file mode 100644 index 0000000000000000000000000000000000000000..0d480d6701adc7d034f3e05c03b899b206b9f949 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_shadow_iframe_site/inner-iframe.html @@ -0,0 +1,12 @@ + + + + Inner Iframe + + +

Iframe Level 2

+ + + + + diff --git a/BrowserGym/tests/core/data/basic_shadow_iframe_site/outer-iframe.html b/BrowserGym/tests/core/data/basic_shadow_iframe_site/outer-iframe.html new file mode 100644 index 0000000000000000000000000000000000000000..eed22ca03938bded8c1408df0a698515fa5068e9 --- /dev/null +++ b/BrowserGym/tests/core/data/basic_shadow_iframe_site/outer-iframe.html @@ -0,0 +1,40 @@ + + + + Shadow DOM Example + + +
+ + + + diff --git a/BrowserGym/tests/core/data/example.html b/BrowserGym/tests/core/data/example.html new file mode 100644 index 0000000000000000000000000000000000000000..13552a70b0edc84663a94433a7da6ed525561e65 --- /dev/null +++ b/BrowserGym/tests/core/data/example.html @@ -0,0 +1,52 @@ + + + + + Example Domain + + + + + + + + +
+

Example Domain

+

This domain is for use in illustrative examples in documents. You may use this + domain in literature without prior coordination or asking for permission.

+

More information...

+
+ + + diff --git a/BrowserGym/tests/core/data/hover.html b/BrowserGym/tests/core/data/hover.html new file mode 100644 index 0000000000000000000000000000000000000000..385bf2dc97085ea2a06eefdc22aa1af159bbe077 --- /dev/null +++ b/BrowserGym/tests/core/data/hover.html @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/BrowserGym/tests/core/data/input_type/button_input.html b/BrowserGym/tests/core/data/input_type/button_input.html new file mode 100644 index 0000000000000000000000000000000000000000..9d6e6493c7594a0a9cd86cbd3f04fcfbea415c93 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/button_input.html @@ -0,0 +1,10 @@ + + + + +

Input Button

+ + + + + diff --git a/BrowserGym/tests/core/data/input_type/checkbox_input.html b/BrowserGym/tests/core/data/input_type/checkbox_input.html new file mode 100644 index 0000000000000000000000000000000000000000..ada1f2ff25cc66ed14281a96ca60021da9d173c4 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/checkbox_input.html @@ -0,0 +1,19 @@ + + + + +

Checkboxes

+

The input type="checkbox" defines a checkbox:

+ +
+ +
+ +
+ +

+ +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/color_picker_input.html b/BrowserGym/tests/core/data/input_type/color_picker_input.html new file mode 100644 index 0000000000000000000000000000000000000000..e33b957dc62cb351ad6f2af5e4b2b55af5967acf --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/color_picker_input.html @@ -0,0 +1,18 @@ + + + + +

Show a Color Picker

+ +

The input type="color" is used for input fields that should contain a color.

+ +
+ + + +
+ +

Note: type="color" is not supported in Internet Explorer 11 or Safari 9.1 (or earlier).

+ + + diff --git a/BrowserGym/tests/core/data/input_type/date_input.html b/BrowserGym/tests/core/data/input_type/date_input.html new file mode 100644 index 0000000000000000000000000000000000000000..0e2d6a3fe1155b35651896483e9a072685f2c34d --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/date_input.html @@ -0,0 +1,18 @@ + + + + +

Date Field

+ +

The input type="date" is used for input fields that should contain a date.

+ +
+ + + +
+ +

Note: type="date" is not supported in Internet Explorer 11 or prior Safari 14.1.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/date_min_max_input.html b/BrowserGym/tests/core/data/input_type/date_min_max_input.html new file mode 100644 index 0000000000000000000000000000000000000000..f519df9c130708a26e71c474496538c60d9930f4 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/date_min_max_input.html @@ -0,0 +1,22 @@ + + + + +

Date Field Restrictions

+ +

Use the min and max attributes to add restrictions to dates:

+ +
+ +

+ + +

+ + +
+ +

Note: type="date" is not supported in Internet Explorer 11 or prior Safari 14.1.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/date_time_local_input.html b/BrowserGym/tests/core/data/input_type/date_time_local_input.html new file mode 100644 index 0000000000000000000000000000000000000000..cc34237bebfa0704a8cc6d1553d5b490fed9dd58 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/date_time_local_input.html @@ -0,0 +1,18 @@ + + + + +

Local Date Field

+ +

The input type="datetime-local" specifies a date and time input field, with no time zone.

+ +
+ + + +
+ +

Note: type="datetime-local" is not supported in Internet Explorer 11 or prior Safari 14.1.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/email_input.html b/BrowserGym/tests/core/data/input_type/email_input.html new file mode 100644 index 0000000000000000000000000000000000000000..0e2f6c3b5db4022e32eef4eb8ac5c0aa79a8ba40 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/email_input.html @@ -0,0 +1,16 @@ + + + + +

Email Field

+ +

The input type="email" is used for input fields that should contain an e-mail address:

+ +
+ + + +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/file_input.html b/BrowserGym/tests/core/data/input_type/file_input.html new file mode 100644 index 0000000000000000000000000000000000000000..5a026e729276c425c23e546cee19a7900cbae84d --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/file_input.html @@ -0,0 +1,15 @@ + + + + +

File upload

+ +

Show a file-select field which allows a file to be chosen for upload:

+
+ +

+ +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/hidden_field_input.html b/BrowserGym/tests/core/data/input_type/hidden_field_input.html new file mode 100644 index 0000000000000000000000000000000000000000..af16596e12dfde14ecc4f2d3daac9006f0cfb26a --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/hidden_field_input.html @@ -0,0 +1,17 @@ + + + + +

A Hidden Field (look in source code)

+ +
+ +

+ + +
+ +

Note: The hidden field is not shown to the user, but the data is sent when the form is submitted.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/image_input.html b/BrowserGym/tests/core/data/input_type/image_input.html new file mode 100644 index 0000000000000000000000000000000000000000..502fd2990500a8a21b2ef030db2017a90e0bd02f --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/image_input.html @@ -0,0 +1,18 @@ + + + + +

Display an Image as the Submit button

+ +
+ +

+ +

+ +
+ +

Note: The input type="image" sends the X and Y coordinates of the click that activated the image button.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/number_input.html b/BrowserGym/tests/core/data/input_type/number_input.html new file mode 100644 index 0000000000000000000000000000000000000000..1158e2baaab595f7ba1f8381fd95811b2fdf9be8 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/number_input.html @@ -0,0 +1,18 @@ + + + + +

Number Field

+ +

The input type="number" defines a numeric input field.

+ +

You can use the min and max attributes to add numeric restrictions in the input field:

+ +
+ + + +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/number_step_input.html b/BrowserGym/tests/core/data/input_type/number_step_input.html new file mode 100644 index 0000000000000000000000000000000000000000..8d68505c3c8005bbc6a055bca0210db276120050 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/number_step_input.html @@ -0,0 +1,16 @@ + + + + +

Numeric Steps

+ +

Depending on browser support: Fixed steps will apply in the input field.

+ +
+ + + +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/password_input.html b/BrowserGym/tests/core/data/input_type/password_input.html new file mode 100644 index 0000000000000000000000000000000000000000..66eb78622aec4c406d77b49bb61e8f7e99503e41 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/password_input.html @@ -0,0 +1,20 @@ + + + + +

Password field

+ +

The input type="password" defines a password field:

+ +
+
+
+
+

+ +
+ +

The characters in a password field are masked (shown as asterisks or circles).

+ + + diff --git a/BrowserGym/tests/core/data/input_type/radio_input.html b/BrowserGym/tests/core/data/input_type/radio_input.html new file mode 100644 index 0000000000000000000000000000000000000000..125d68f4df1bd3c28d1954519c01b40ff24daa68 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/radio_input.html @@ -0,0 +1,19 @@ + + + + +

Radio Buttons

+ +

The input type="radio" defines a radio button:

+ +

Choose your favorite Web language:

+
+ +  + 
+ + +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/range_input.html b/BrowserGym/tests/core/data/input_type/range_input.html new file mode 100644 index 0000000000000000000000000000000000000000..d96b9791994a7546b71c4808ffd1b111546d3323 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/range_input.html @@ -0,0 +1,16 @@ + + + + +

Range Field

+ +

Depending on browser support: The input type "range" can be displayed as a slider control.

+ +
+ + + +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/reset_input.html b/BrowserGym/tests/core/data/input_type/reset_input.html new file mode 100644 index 0000000000000000000000000000000000000000..d7710c1a8078eceef1f0c3b70503c7aed35ac2da --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/reset_input.html @@ -0,0 +1,21 @@ + + + + +

Reset Button

+ +

The input type="reset" defines a reset button that resets all form values to their default values:

+ +
+
+
+
+

+ + +
+ +

If you change the input values and then click the "Reset" button, the form-data will be reset to the default values.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/search_input.html b/BrowserGym/tests/core/data/input_type/search_input.html new file mode 100644 index 0000000000000000000000000000000000000000..db8ab66ed15a758c76d9f9fca7344c91b378dd10 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/search_input.html @@ -0,0 +1,15 @@ + + + + +

Search Field

+

The input type="search" is used for search fields (behaves like a regular text field):

+ +
+ + + +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/submit_input.html b/BrowserGym/tests/core/data/input_type/submit_input.html new file mode 100644 index 0000000000000000000000000000000000000000..257ebdda7f922079c4cd2648564e6adcd8be4c58 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/submit_input.html @@ -0,0 +1,20 @@ + + + + +

Submit Button

+ +

The input type="submit" defines a button for submitting form data to a form-handler:

+ +
+
+
+
+

+ +
+ +

If you click "Submit", the form-data will be sent to a page called "https://www.w3schools.com/action_page.php".

+ + + diff --git a/BrowserGym/tests/core/data/input_type/submit_nn_input.html b/BrowserGym/tests/core/data/input_type/submit_nn_input.html new file mode 100644 index 0000000000000000000000000000000000000000..da04e9d3a5413e6d5ca8f08c0c705d3156161569 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/submit_nn_input.html @@ -0,0 +1,14 @@ + + + + +
+
+
+
+

+ +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/telephone_input.html b/BrowserGym/tests/core/data/input_type/telephone_input.html new file mode 100644 index 0000000000000000000000000000000000000000..12a0c8a59a1da62b4e578dca976d167dbf1d8dfa --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/telephone_input.html @@ -0,0 +1,17 @@ + + + + +

Telephone Field

+ +

The input type="tel" is used for input fields that should contain a telephone number:

+ +
+

+

+ Format: 123-45-678

+ +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/text_input.html b/BrowserGym/tests/core/data/input_type/text_input.html new file mode 100644 index 0000000000000000000000000000000000000000..811753a26fd5325d481b2246051dc1d2d153a540 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/text_input.html @@ -0,0 +1,20 @@ + + + + +

Text field

+

The input type="text" defines a one-line text input field:

+ +
+
+
+
+

+ +
+ +

Note that the form itself is not visible.

+

Also note that the default width of a text field is 20 characters.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/time_input.html b/BrowserGym/tests/core/data/input_type/time_input.html new file mode 100644 index 0000000000000000000000000000000000000000..8ca605580af8ee58f86aecb20acf5d2d8fa9c263 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/time_input.html @@ -0,0 +1,20 @@ + + + + +

Show a Time Input Control

+ +

The input type="time" allows the user to select a time (no time zone):

+ +

If the browser supports it, a time picker pops up when entering the input field.

+ +
+ + + +
+ +

Note: type="time" is not supported in Internet Explorer 11 or prior Safari 14.1.

+ + + diff --git a/BrowserGym/tests/core/data/input_type/url_input.html b/BrowserGym/tests/core/data/input_type/url_input.html new file mode 100644 index 0000000000000000000000000000000000000000..1f6bdf641d746e582d0ce3dad5f04e483ab7bef4 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/url_input.html @@ -0,0 +1,16 @@ + + + + +

Display a URL Input Field

+ +

The input type="url" is used for input fields that should contain a URL address:

+ +
+ + + +
+ + + diff --git a/BrowserGym/tests/core/data/input_type/week_input.html b/BrowserGym/tests/core/data/input_type/week_input.html new file mode 100644 index 0000000000000000000000000000000000000000..1f6bdf641d746e582d0ce3dad5f04e483ab7bef4 --- /dev/null +++ b/BrowserGym/tests/core/data/input_type/week_input.html @@ -0,0 +1,16 @@ + + + + +

Display a URL Input Field

+ +

The input type="url" is used for input fields that should contain a URL address:

+ +
+ + + +
+ + + diff --git a/BrowserGym/tests/core/data/long_page.html b/BrowserGym/tests/core/data/long_page.html new file mode 100644 index 0000000000000000000000000000000000000000..8fd6ca357e35581ea09f2c905b36ee9df439f92f --- /dev/null +++ b/BrowserGym/tests/core/data/long_page.html @@ -0,0 +1,211 @@ + + + + + +

This is the top

+ + +
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This is the bottom

+ + + + + + diff --git a/BrowserGym/tests/core/data/lots_of_iframes.html b/BrowserGym/tests/core/data/lots_of_iframes.html new file mode 100644 index 0000000000000000000000000000000000000000..ba342a9ced3d48364816b1fcb7888f5518a69001 --- /dev/null +++ b/BrowserGym/tests/core/data/lots_of_iframes.html @@ -0,0 +1,21 @@ + + + + + Lots of Iframes + + + + + + + diff --git a/BrowserGym/tests/core/data/obstructed_checkbox_page.html b/BrowserGym/tests/core/data/obstructed_checkbox_page.html new file mode 100644 index 0000000000000000000000000000000000000000..a3f9ec1f23c7dad374236eb1a6e19e52ceb56cb5 --- /dev/null +++ b/BrowserGym/tests/core/data/obstructed_checkbox_page.html @@ -0,0 +1,93 @@ + + + + + + Checkbox with Label Interception + + + + +
+
+ +
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+ +
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+ +
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+ + + diff --git a/BrowserGym/tests/core/data/test_page.html b/BrowserGym/tests/core/data/test_page.html new file mode 100644 index 0000000000000000000000000000000000000000..cdb46c801b32395364831e3c0a6dc32149bda067 --- /dev/null +++ b/BrowserGym/tests/core/data/test_page.html @@ -0,0 +1,29 @@ + + + + Simple Form + + +

Simple Form

+ +
+ +

+ + +

+ + +

+ +
+

+ + +

+ + + +
+ + diff --git a/BrowserGym/tests/core/data/test_page_2.html b/BrowserGym/tests/core/data/test_page_2.html new file mode 100644 index 0000000000000000000000000000000000000000..b3b2a5d69c83f74229fb2589f7c0798f960db9bb --- /dev/null +++ b/BrowserGym/tests/core/data/test_page_2.html @@ -0,0 +1,63 @@ + + + + + Simple Form + + + +

Simple Form

+ +
+ +

+ + +

+ + +

+ +
+

+ + +

+ + + +
+ + + Text within a non-html tag + +
+
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+

Text that should not be visible

+ + + diff --git a/BrowserGym/tests/core/data/textbox.html b/BrowserGym/tests/core/data/textbox.html new file mode 100644 index 0000000000000000000000000000000000000000..c93bd6f7835a9f11860ce6cd2406794c3376a26b --- /dev/null +++ b/BrowserGym/tests/core/data/textbox.html @@ -0,0 +1,13 @@ + + + + + Simple HTML Page + + + + + + + + diff --git a/BrowserGym/tests/core/test_actions_highlevel.py b/BrowserGym/tests/core/test_actions_highlevel.py new file mode 100644 index 0000000000000000000000000000000000000000..a3a4f56c6f9f7d579cccee40f2d747c8c42cbdc9 --- /dev/null +++ b/BrowserGym/tests/core/test_actions_highlevel.py @@ -0,0 +1,1256 @@ +import ast +import os +import pathlib +import platform +import re + +import bs4 +import gymnasium as gym +import pytest +from pyparsing.exceptions import ParseException + +# register openended gym environments +import browsergym.core +from browsergym.core.action.highlevel import HighLevelActionSet +from browsergym.core.action.parsers import NamedArgument, highlevel_action_parser +from browsergym.core.constants import BROWSERGYM_ID_ATTRIBUTE as BID_ATTR +from browsergym.utils.obs import flatten_dom_to_str + +_IS_MAC_OS = platform.system() == "Darwin" + +__SLOW_MO = 1000 if "DISPLAY_BROWSER" in os.environ else None +__HEADLESS = False if "DISPLAY_BROWSER" in os.environ else True +__TIMEOUT = 500 + +__DATA_DIR = pathlib.Path(__file__).resolve().parent / "data" + +TEXTBOX_URL = f"file://{__DATA_DIR}/textbox.html" +EXAMPLE_URL = f"file://{__DATA_DIR}/example.html" +HOVER_URL = f"file://{__DATA_DIR}/hover.html" +INEXISTANT_FILE_URL = f"file://{__DATA_DIR}/no_file_here.html" +LONG_PAGE_URL = f"file://{__DATA_DIR}/long_page.html" +TEXT_INPUT_URL = f"file://{__DATA_DIR}/input_type/text_input.html" +URL_INPUT_URL = f"file://{__DATA_DIR}/input_type/url_input.html" +CHECKBOX_URL = f"file://{__DATA_DIR}/input_type/checkbox_input.html" +MULTI_IFRAME_URL = f"file://{__DATA_DIR}/basic_iframe_site/basic_iframe_2.html" +OBSTRUCTED_CHECKBOX_URL = f"file://{__DATA_DIR}/obstructed_checkbox_page.html" +LOTS_OF_IFRAMES_URL = f"file://{__DATA_DIR}/lots_of_iframes.html" + + +def test_action_parser(): + parser = highlevel_action_parser + + with pytest.raises(ParseException): + function_calls = parser.parse_string("", parseAll=True) + assert not function_calls + + function_calls = parser.parse_string("a()", parseAll=True) + assert len(function_calls) == 1 + + function_calls = parser.parse_string(" a ( ) \n\n\t", parseAll=True) + assert len(function_calls) == 1 + + function_calls = parser.parse_string(" a ( ) b() \n \tc()", parseAll=True) + assert [function_name for function_name, _ in function_calls] == ["a", "b", "c"] + + function_calls = parser.parse_string('a(12, 12.2, "text", (1, 2, 3), ["a", 23])', parseAll=True) + _, function_args = function_calls[0] + assert function_args == [12, 12.2, "text", (1, 2, 3), ["a", 23]] + + function_calls = parser.parse_string('a(x=12, y = 12.2, other = "text")', parseAll=True) + _, function_args = function_calls[0] + assert function_args == [ + NamedArgument(name="x", value=12), + NamedArgument(name="y", value=12.2), + NamedArgument(name="other", value="text"), + ] + + function_calls = parser.parse_string('a(12, y = 12.2, other = "text")', parseAll=True) + _, function_args = function_calls[0] + assert function_args == [ + 12, + NamedArgument(name="y", value=12.2), + NamedArgument(name="other", value="text"), + ] + + with pytest.raises(ParseException): + function_calls = parser.parse_string('a(x = 12, 12.2, other = "text")', parseAll=True) + + with pytest.raises(ParseException): + function_calls = parser.parse_string('a(12, 12.2, 1 = "text")', parseAll=True) + + with pytest.raises(ParseException): + function_calls = parser.parse_string("a(1-)", parseAll=True) + + with pytest.raises(ParseException): + function_calls = parser.parse_string("a(1/2)", parseAll=True) + + function_calls = parser.parse_string('a("""\nsome\ntext\\"\\"""")', parseAll=True) + _, function_args = function_calls[0] + assert function_args == ['\nsome\ntext""'] + + function_calls = parser.parse_string("a('\"some\\ntext\"')", parseAll=True) + _, function_args = function_calls[0] + assert function_args == ['"some\ntext"'] + + function_calls = parser.parse_string('#comment\na("# not comment") #comment \n ', parseAll=True) + assert len(function_calls) == 1 + function_name, function_args = function_calls[0] + assert function_name == "a" + assert function_args == ["# not comment"] + + function_calls = parser.parse_string('fun(12, x="val", y={"aaa": 23})', parseAll=True) + function_name, function_args = function_calls[0] + assert function_name == "fun" + assert function_args == [ + 12, + NamedArgument(name="x", value="val"), + NamedArgument(name="y", value={"aaa": 23}), + ] + + +def test_valid_action(): + action_set = HighLevelActionSet() + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": CHECKBOX_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + def get_checkbox_elem(obs): + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + checkbox = soup.find("input", attrs={"type": "checkbox", "id": "vehicle1"}) + return checkbox + + obs, info = env.reset() + checkbox = get_checkbox_elem(obs) + + # box not checked + assert not obs["last_action_error"] + assert not checkbox.has_attr("checked") + + # typo in action (unescaped double quotes) + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}, "17" screen") # typo here +""" + with pytest.raises(ValueError): + python_action = action_set.to_python_code(action) + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # error and box not checked + assert "Received an empty action." in obs["last_action_error"] + assert not checkbox.has_attr("checked") + + # click box 1 time + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 1 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box checked + assert not obs["last_action_error"] + assert checkbox.has_attr("checked") + + # click box 2 times + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) +click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 2 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box still checked + assert not obs["last_action_error"] + assert checkbox.has_attr("checked") + + # click box 3 times + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) +click({repr(checkbox.get(BID_ATTR))}) +click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 3 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box unchecked + assert not obs["last_action_error"] + assert not checkbox.has_attr("checked") + + # click box 3 times, same line ops + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) click({repr(checkbox.get(BID_ATTR))}) click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 3 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box checked + assert not obs["last_action_error"] + assert checkbox.has_attr("checked") + + # click box 3 times, multi line ops, whitespace, tab, comma in-between args + action = f"""\ + click( {repr(checkbox.get(BID_ATTR))} ) click({repr(checkbox.get(BID_ATTR))})\t + noop() noop () noop( ) + # THIS IS A COMMENT + noop() # this is a noop() call +click({repr(checkbox.get(BID_ATTR))}, ) +#click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 3 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box unchecked + assert not obs["last_action_error"] + assert not checkbox.has_attr("checked") + + # click box 3 times, multi line ops, whitespace, tab, comma in-between args, markdown code block + action = f"""\ +Below is code + ```python + click( {repr(checkbox.get(BID_ATTR))} ) click({repr(checkbox.get(BID_ATTR))})\t + noop() noop () noop( ) + # THIS IS A COMMENT + noop() # this is a noop() call +click({repr(checkbox.get(BID_ATTR))}, ) +#click({repr(checkbox.get(BID_ATTR))}) +``` +This is not code, just an explanation +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 3 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box checked + assert not obs["last_action_error"] + assert checkbox.has_attr("checked") + + # multiple markdown code blocks + action = f"""\ +Below is code + ```python + noop() noop () noop( ) + # THIS IS A COMMENT + noop() # this is a noop() call +click({repr(checkbox.get(BID_ATTR))}, ) +#click({repr(checkbox.get(BID_ATTR))}) +``` +This is not code, just an explanation +Below is more code + ```python + click( {repr(checkbox.get(BID_ATTR))} ) click({repr(checkbox.get(BID_ATTR))})\t + noop() noop () noop( ) + # THIS IS A COMMENT + noop() # this is a noop() call +#click({repr(checkbox.get(BID_ATTR))}) +``` +This is not code, just an explanation +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 3 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box unchecked + assert not obs["last_action_error"] + assert not checkbox.has_attr("checked") + + # multiple function calls in the middle of text + action = f"""\ +Let's do a noop(), then noop () noop( ) then click({repr(checkbox.get(BID_ATTR))}, ) +#click({repr(checkbox.get(BID_ATTR))}) +Now let's do two more + click( {repr(checkbox.get(BID_ATTR))} ) click({repr(checkbox.get(BID_ATTR))})\t + noop() noop () noop( ) + # THIS IS A COMMENT + noop() # this is a noop() call +#click({repr(checkbox.get(BID_ATTR))}) +``` +This is not code, just an explanation +This is garbage +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nclick(") == 3 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box checked + assert not obs["last_action_error"] + assert checkbox.has_attr("checked") + + env.close() + + +def test_invalid_action(): + action_set = HighLevelActionSet() + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": CHECKBOX_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + obs, info = env.reset() + + # click inexistant bid + action = f"""\ +click("INVALID_BID") +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert "ValueError" in obs["last_action_error"] + + # invalid bid value type + action = f"""\ +click(None) +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert obs["last_action_error"] == "ValueError: expected a string, got None" + + # invalid bid value type + action = f"""\ +click(42.7) +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert obs["last_action_error"] == "ValueError: expected a string, got 42.7" + + # invalid bid value type + action = f"""\ +click([]) +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert obs["last_action_error"] == "ValueError: expected a string, got []" + + # invalid bid value type + action = f"""\ +click([42, "a", True, None]) +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert obs["last_action_error"] == "ValueError: expected a string, got [42, 'a', True, None]" + + # invalid bid value type + action = f"""\ +click({{}}) +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert obs["last_action_error"] == "ValueError: expected a string, got {}" + + # invalid bid value type + action = f"""\ +click({{"k": "aaa"}}) +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert obs["last_action_error"] == "ValueError: expected a string, got {'k': 'aaa'}" + + # invalid action args (too many) + action = f"""\ +click("4", "aa", "bb") +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert obs["last_action_error"] == "Error: Locator.click: modifiers: expected array, got string" + + # invalid action args (not enough) + action = f"""\ +click() +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert ( + obs["last_action_error"] + == "TypeError: click() missing 1 required positional argument: 'bid'" + ) + + # invalid action args (not enough) + action = f"""\ +click() +""" + + obs, reward, term, trunc, info = env.step(action) + + # error + assert ( + obs["last_action_error"] + == "TypeError: click() missing 1 required positional argument: 'bid'" + ) + + # invalid action name + with pytest.raises(NameError): + action_set.to_python_code( + f"""\ +not_a_valid_action() +""" + ) + + # forbidden fill action + with pytest.raises(NameError): + HighLevelActionSet(subsets=["coord"]).to_python_code( + f"""\ +fill("INVALID_BID", "some text") +""" + ) + + # forbidden import + with pytest.raises(ValueError): + action_set.to_python_code( + f"""\ +import numpy as np +""" + ) + + # invalid expression, results in empty action + with pytest.raises(ValueError): + action_set.to_python_code( + f"""\ +[ +""" + ) + + # invalid expression, results in empty action + with pytest.raises(ValueError): + action_set.to_python_code( + f"""\ +click +""" + ) + + env.close() + + +def test_click_through_frames(): + action_set = HighLevelActionSet() + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": MULTI_IFRAME_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + obs, info = env.reset() + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + checkbox = soup.find("input", attrs={"type": "checkbox", "id": "checkbox_2"}) + + # box checked + assert checkbox.has_attr("checked") + + # click box + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + obs, reward, term, trunc, info = env.step(action) + + # no error + assert not obs["last_action_error"] + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + checkbox = soup.find("input", attrs={"type": "checkbox", "id": "checkbox_2"}) + + # box not checked + assert not checkbox.has_attr("checked") + + env.close() + + +def test_fill_through_iframe(): + action_set = HighLevelActionSet() + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": MULTI_IFRAME_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + obs, info = env.reset() + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + text_input = soup.find( + "input", attrs={"type": "text", "placeholder": "Enter text here in iframe"} + ) + + # empty input + assert text_input.get("value") == "" + + # fill with some text + action = f"""\ +fill({repr(text_input.get(BID_ATTR))}, "This is a test value.") +""" + python_action = action_set.to_python_code(action) + + obs, reward, term, trunc, info = env.step(action) + + # no error + assert not obs["last_action_error"] + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + text_input = soup.find( + "input", attrs={"type": "text", "placeholder": "Enter text here in iframe"} + ) + + # input filled to desired value + assert text_input.get("value") == "This is a test value." + + env.close() + + +def test_click(): + action_set = HighLevelActionSet() + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": CHECKBOX_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + def get_checkbox_elem(obs): + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + checkbox = soup.find("input", attrs={"type": "checkbox", "id": "vehicle1"}) + return checkbox + + obs, info = env.reset() + checkbox = get_checkbox_elem(obs) + + # box not checked + assert not checkbox.has_attr("checked") + + # click box + action = f""" +click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + obs, reward, terminated, truncated, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # no error + assert not obs["last_action_error"] + + # box checked + assert checkbox.has_attr("checked") + + # click box + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # no error + assert not obs["last_action_error"] + + # box unchecked + assert not checkbox.has_attr("checked") + + # click box twice + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) +click({repr(checkbox.get(BID_ATTR))}) +""" + python_action = action_set.to_python_code(action) + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # no error + assert not obs["last_action_error"] + + # box still unchecked + assert not checkbox.has_attr("checked") + + env.close() + + +def test_hover(): + action_set = HighLevelActionSet(subsets=["bid", "coord"]) + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": HOVER_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + def get_button_elem(obs): + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + button = soup.find("input", attrs={"type": "button"}) + return button + + obs, info = env.reset() + button = get_button_elem(obs) + + assert not obs["last_action_error"] + assert button.get("value") == "Hover me" + + action = f""" +hover({repr(button.get(BID_ATTR))}) +""" + + obs, reward, terminated, truncated, info = env.step(action) + button = get_button_elem(obs) + + assert not obs["last_action_error"] + assert button.get("value") == "Hello world!" + + action = f""" +mouse_move(0, 0) +""" + + obs, reward, terminated, truncated, info = env.step(action) + button = get_button_elem(obs) + + assert not obs["last_action_error"] + assert button.get("value") == "Hover me" + + env.close() + + +def test_fill_type_press(): + action_set = HighLevelActionSet(subsets=["bid", "coord"]) + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEXT_INPUT_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + def get_fname_lname_elems(obs): + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + fname = soup.find("input", attrs={"id": "fname"}) + lname = soup.find("input", attrs={"id": "lname"}) + return fname, lname + + obs, info = env.reset() + fname, lname = get_fname_lname_elems(obs) + + # type using bid + action = f""" +fill({repr(fname.get(BID_ATTR))}, 'Christian') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "Christian" + assert lname.get("value") == "" + + # type using bid + action = f""" +fill({repr(lname.get(BID_ATTR))}, 'Clavier') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "Christian" + assert lname.get("value") == "Clavier" + + # type using focus and keyboard_type + action = f""" +focus({repr(fname.get(BID_ATTR))}) keyboard_type('Gérard') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "ChristianGérard" + assert lname.get("value") == "Clavier" + + # type using click and keyboard_insert_text + action = f""" +click({repr(lname.get(BID_ATTR))}) keyboard_insert_text('Jugnot') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "ChristianGérard" + assert lname.get("value") == "ClavierJugnot" + + # type using clear and keyboard_insert_text + action = f""" +clear({repr(lname.get(BID_ATTR))}) keyboard_insert_text('Jugnot') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "ChristianGérard" + assert lname.get("value") == "Jugnot" + + # type using click, manual clear and keyboard_insert_text + action = f""" +click({repr(fname.get(BID_ATTR))}) +# clear the field +keyboard_press('End') +keyboard_down('Shift') +keyboard_press('Home') +keyboard_up('Shift') +keyboard_press('Backspace') +# insert text +keyboard_insert_text('Gérard') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "Gérard" + assert lname.get("value") == "Jugnot" + + # fill empty text + action = f""" +fill({repr(fname.get(BID_ATTR))}, '') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "" + assert lname.get("value") == "Jugnot" + + # type in currently focused element + action = f""" +keyboard_type('Jean') +""" + + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "Jean" + assert lname.get("value") == "Jugnot" + + # de-focus (click 0, 0), then type text + action = f""" +mouse_click(0, 0) +""" + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "Jean" + assert lname.get("value") == "Jugnot" + + action = f""" +keyboard_type('Reno') +""" + obs, reward, terminated, truncated, info = env.step(action) + fname, lname = get_fname_lname_elems(obs) + + assert not obs["last_action_error"] + assert fname.get("value") == "Jean" + assert lname.get("value") == "Jugnot" + + env.close() + + +@pytest.mark.skip(reason="Not implemented yet") +def test_dblclick(): + pass + + +# copy/paste text using a sequence of keyboard_press actions +def test_key_press(): + action_set = HighLevelActionSet(subsets=["bid", "coord"]) + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEXT_INPUT_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + obs, info = env.reset() + + def get_fname_lname_elems(obs): + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + fname = soup.find("input", attrs={"id": "fname"}) + lname = soup.find("input", attrs={"id": "lname"}) + return fname, lname + + fname, lname = get_fname_lname_elems(obs) + + action = f""" + fill({repr(fname.get(BID_ATTR))}, "Christian") + keyboard_press({repr("Meta+a" if _IS_MAC_OS else "Control+a")}) + keyboard_press({repr("Meta+c" if _IS_MAC_OS else "Control+c")}) + click({repr(lname.get(BID_ATTR))}) + keyboard_press({repr("Meta+v" if _IS_MAC_OS else "Control+v")}) + """ + + obs, reward, terminated, truncated, info = env.step(action) + + assert not obs["last_action_error"] + + fname, lname = get_fname_lname_elems(obs) + + assert lname.get("value") == "Christian" + + env.close() + + +def test_goto(): + url1 = URL_INPUT_URL + url2 = TEXT_INPUT_URL + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": url1}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + ) + + obs, info = env.reset() + + assert obs["url"] == url1 + + action = f""" +goto({repr(url2)}) +""" + + obs, reward, terminated, truncated, info = env.step(action) + + assert not obs["last_action_error"] + + assert obs["url"] == url2 + + action = """ +go_back() +""" + + obs, reward, terminated, truncated, info = env.step(action) + + assert not obs["last_action_error"] + + assert obs["url"] == url1 + + action = """ +go_forward() +""" + + obs, reward, terminated, truncated, info = env.step(action) + + assert not obs["last_action_error"] + + assert obs["url"] == url2 + + env.close() + + +def test_scroll(): + action_set = HighLevelActionSet(subsets=["coord"]) + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": LONG_PAGE_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + def extract_coords_from_elem(elem): + return ast.literal_eval(elem.get("center")) + + def get_top_bottom_elems(obs): + soup = bs4.BeautifulSoup( + flatten_dom_to_str( + obs["dom_object"], obs["extra_element_properties"], with_center_coords=True + ), + "lxml", + ) + top = soup.find("input", attrs={"type": "checkbox", "id": "top"}) + bottom = soup.find("input", attrs={"type": "checkbox", "id": "bottom"}) + return top, bottom + + obs, info = env.reset() + top, bottom = get_top_bottom_elems(obs) + top_x, top_y = extract_coords_from_elem(top) + bottom_x, bottom_y = extract_coords_from_elem(bottom) + + # top not checked + assert not top.has_attr("checked") + # bottom not checked + assert not bottom.has_attr("checked") + + # click top + action = f"mouse_click({repr(top_x)}, {repr(top_y)})" + + obs, reward, terminated, truncated, info = env.step(action) + + top, bottom = get_top_bottom_elems(obs) + top_x, top_y = extract_coords_from_elem(top) + bottom_x, bottom_y = extract_coords_from_elem(bottom) + + # no error + assert not obs["last_action_error"] + # top checked + assert top.has_attr("checked") + # bottom not checked + assert not bottom.has_attr("checked") + + top, bottom = get_top_bottom_elems(obs) + top_x, top_y = extract_coords_from_elem(top) + bottom_x, bottom_y = extract_coords_from_elem(bottom) + + # click bottom + action = f"mouse_click({repr(bottom_x)}, {repr(bottom_y)})" + + obs, reward, terminated, truncated, info = env.step(action) + + top, bottom = get_top_bottom_elems(obs) + top_x, top_y = extract_coords_from_elem(top) + bottom_x, bottom_y = extract_coords_from_elem(bottom) + + # no error (click coordinates out of viewport is a silent fail in playwright) + assert not obs["last_action_error"] + # top checked + assert top.has_attr("checked") + # bottom not checked (click didn't go through) + assert not bottom.has_attr("checked") + + # scroll up + action = f"scroll(0, -500)" + + obs, reward, terminated, truncated, info = env.step(action) + + top, bottom = get_top_bottom_elems(obs) + prev_top_x, prev_top_y = top_x, top_y + top_x, top_y = extract_coords_from_elem(top) + prev_bottom_x, prev_bottom_y = bottom_x, bottom_y + bottom_x, bottom_y = extract_coords_from_elem(bottom) + + # no error + assert not obs["last_action_error"] + + # no movement + assert prev_top_x == top_x and prev_top_y == top_y + assert prev_bottom_x == bottom_x and prev_bottom_y == bottom_y + + # scroll down + action = f"scroll(0, 500)" + + obs, reward, terminated, truncated, info = env.step(action) + + top, bottom = get_top_bottom_elems(obs) + prev_top_x, prev_top_y = top_x, top_y + top_x, top_y = extract_coords_from_elem(top) + prev_bottom_x, prev_bottom_y = bottom_x, bottom_y + bottom_x, bottom_y = extract_coords_from_elem(bottom) + + # no error + assert not obs["last_action_error"] + + # movement + assert prev_top_x == top_x and prev_top_y > top_y + assert prev_bottom_x == bottom_x and prev_bottom_y > bottom_y + + env.close() + + +def test_tab_actions(): + action_set = HighLevelActionSet(subsets=["tab", "nav"]) + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": CHECKBOX_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + obs, info = env.reset() + assert not obs["last_action_error"] + assert len(obs["open_pages_urls"]) == 1 + assert len(obs["open_pages_titles"]) == 1 + assert obs["active_page_index"] == 0 + assert obs["open_pages_urls"][obs["active_page_index"][0]] == obs["url"] + + obs, reward, terminated, truncated, info = env.step("new_tab()") + assert not obs["last_action_error"] + assert len(obs["open_pages_urls"]) == 2 + assert len(obs["open_pages_titles"]) == 2 + assert obs["active_page_index"] == 1 + assert obs["open_pages_urls"][obs["active_page_index"][0]] == obs["url"] + + obs, reward, terminated, truncated, info = env.step(f"goto({repr(TEXTBOX_URL)})") + assert not obs["last_action_error"] + assert len(obs["open_pages_urls"]) == 2 + assert len(obs["open_pages_titles"]) == 2 + assert obs["active_page_index"] == 1 + assert obs["open_pages_urls"][obs["active_page_index"][0]] == obs["url"] + + obs, reward, terminated, truncated, info = env.step("tab_focus(0)") + assert not obs["last_action_error"] + assert len(obs["open_pages_urls"]) == 2 + assert len(obs["open_pages_titles"]) == 2 + assert obs["active_page_index"] == 0 + assert obs["open_pages_urls"][obs["active_page_index"][0]] == obs["url"] + + obs, reward, terminated, truncated, info = env.step("tab_close()") + assert not obs["last_action_error"] + assert len(obs["open_pages_urls"]) == 1 + assert len(obs["open_pages_titles"]) == 1 + assert obs["active_page_index"] == 0 + assert obs["open_pages_urls"][obs["active_page_index"][0]] == obs["url"] + + env.close() + + +def test_mouse_down_up(): + action_set = HighLevelActionSet(subsets=["bid", "coord"]) + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": CHECKBOX_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + def get_checkbox_elem(obs): + soup = bs4.BeautifulSoup( + flatten_dom_to_str( + obs["dom_object"], obs["extra_element_properties"], with_center_coords=True + ), + "lxml", + ) + checkbox = soup.find("input", attrs={"type": "checkbox", "id": "vehicle1"}) + return checkbox + + obs, info = env.reset() + checkbox = get_checkbox_elem(obs) + + # box not checked + assert not obs["last_action_error"] + assert not checkbox.has_attr("checked") + + # click box 1 time + x, y = ast.literal_eval(checkbox.get("center")) + action = f"""\ +mouse_click({repr(x)}, {repr(y)}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nmouse_") == 1 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box checked + assert not obs["last_action_error"] + assert checkbox.has_attr("checked") + + # click box 1 time + x, y = ast.literal_eval(checkbox.get("center")) + action = f"""\ +mouse_move(0, 0) +mouse_move({repr(x)}, {repr(y)}) +mouse_down({repr(x)}, {repr(y)}) +mouse_up({repr(x)}, {repr(y)}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nmouse_") == 4 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box not checked + assert not obs["last_action_error"] + assert not checkbox.has_attr("checked") + + # click box 2 times + x, y = ast.literal_eval(checkbox.get("center")) + action = f"""\ +mouse_move(0, 0) +mouse_move({repr(x)}, {repr(y)}) +mouse_down({repr(x)}, {repr(y)}, button="left") +mouse_up({repr(x)}, {repr(y)}, "left") +mouse_down({repr(x)}, {repr(y)}) +mouse_up({repr(x)}, {repr(y)}) +""" + python_action = action_set.to_python_code(action) + + assert python_action.count("\nmouse_") == 6 + + obs, reward, term, trunc, info = env.step(action) + checkbox = get_checkbox_elem(obs) + + # box not checked + assert not obs["last_action_error"] + assert not checkbox.has_attr("checked") + + +# test that forced action can click an obstructed element +@pytest.mark.parametrize("retry_with_force", [True, False]) +def test_forced_actions(retry_with_force): + action_set = HighLevelActionSet(subsets=["bid"], retry_with_force=retry_with_force) + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": OBSTRUCTED_CHECKBOX_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + obs, info = env.reset() + + def get_checkbox(obs): + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + checkbox = soup.find("input", attrs={"id": "hobbies-checkbox-1"}) + return checkbox + + checkbox = get_checkbox(obs) + + action = f""" + click({repr(checkbox.get(BID_ATTR))}) + """ + + obs, reward, terminated, truncated, info = env.step(action) + checkbox = get_checkbox(obs) + if retry_with_force: + assert not obs["last_action_error"] + assert checkbox.get("checked", False) == False + else: + assert obs["last_action_error"] + assert checkbox.has_attr("checked") + + env.close() + + +# TODO investigate why it takes ~1sec to mark each frame, although they are very small, and if we can do something about it +@pytest.mark.slow +def test_iframe_bid(): + action_set = HighLevelActionSet(subsets=["bid"]) + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": LOTS_OF_IFRAMES_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + + obs, info = env.reset() + + def get_checkbox(obs, i): + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + checkbox = soup.find("input", attrs={"id": f"checkbox{i}"}) + return checkbox + + # try to click on checkboxes + checkboxes = [ + (0, "a"), + # (5, "f"), + # (26, "aA"), + (29, "aD"), + ] + for id, iframe_bid in checkboxes: + + # try to click on checkbox + checkbox = get_checkbox(obs, id) + bid = checkbox.get(BID_ATTR) + + # iframe bid should match + assert re.match(f"^{iframe_bid}[0-9]+$", bid) + + action = f""" + click({repr(bid)}) + """ + + obs, reward, terminated, truncated, info = env.step(action) + assert not obs["last_action_error"] + + # checkbox should get checked + checkbox = get_checkbox(obs, id) + assert checkbox.has_attr("checked") + + env.close() diff --git a/BrowserGym/tests/core/test_actions_python.py b/BrowserGym/tests/core/test_actions_python.py new file mode 100644 index 0000000000000000000000000000000000000000..69cc6237bb1f128709578f7ea84a969cfb33adf8 --- /dev/null +++ b/BrowserGym/tests/core/test_actions_python.py @@ -0,0 +1,60 @@ +import pytest + +from browsergym.core.action.python import PythonActionSet + + +ACTIONS_TO_TEST = [ + ( + """\ +a = 0 +""", + """\ +a = 0 +""", + ), + ( + """\ +``` +a = 0 +``` +""", + """\ +a = 0 +""", + ), + ( + """\ +```python +a = 0 +``` +""", + """\ +a = 0 +""", + ), + ( + """\ +```python +a = 0 +``` +This is an explanation +```python +b = 3 +``` +More explanations +""", + """\ +a = 0 + +b = 3 +""", + ), +] + + +@pytest.mark.parametrize("action,expected_code", ACTIONS_TO_TEST) +def test_action_cleaning(action, expected_code): + action_set = PythonActionSet() + code = action_set.to_python_code(action) + + assert code == expected_code diff --git a/BrowserGym/tests/core/test_gym_envs.py b/BrowserGym/tests/core/test_gym_envs.py new file mode 100644 index 0000000000000000000000000000000000000000..48fca3a32e119ee0a1e58440565c8e10d1fca2d7 --- /dev/null +++ b/BrowserGym/tests/core/test_gym_envs.py @@ -0,0 +1,313 @@ +import os +import pathlib +from time import time + +import bs4 +import gymnasium as gym +import pytest + +# register openended gym environments +import browsergym.core +import browsergym.core.action +from browsergym.core.action.highlevel import HighLevelActionSet +from browsergym.core.action.python import PythonActionSet +from browsergym.core.constants import BROWSERGYM_ID_ATTRIBUTE as BID_ATTR +from browsergym.utils.obs import flatten_dom_to_str + +__SLOW_MO = 1000 if "DISPLAY_BROWSER" in os.environ else None +__HEADLESS = False if "DISPLAY_BROWSER" in os.environ else True +__TIMEOUT = 500 + +__DATA_DIR = pathlib.Path(__file__).resolve().parent / "data" +TEST_PAGE = f"file://{__DATA_DIR}/test_page.html" +BASIC_IFRAME_PAGE = f"file://{__DATA_DIR}/basic_iframe_site/basic_iframe_2.html" + + +def test_gym_env(): + action_set = PythonActionSet() + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + obs, info = env.reset() + + assert not obs["last_action_error"] + + obs, reward, term, trunc, info = env.step( + f"""\ +page.get_by_label("Name:").click() +page.get_by_label("Name:").fill("Janice") +page.get_by_label("Name:").press("Tab") +page.get_by_label("Email:").fill("janice@mail.com") +page.get_by_label("Email:").press("Tab") +page.get_by_label("Age:", exact=True).fill("21") +page.get_by_label("Age:", exact=True).press("Tab") +""" + ) + + assert obs["last_action_error"] == "" + assert reward == 0 + assert term == False + assert trunc == False + + obs, reward, term, trunc, info = env.step( + f"""\ +page.get_by_label("Message:").fill("Hello") +page.get_by_label("Message:").press("Tab") +page.get_by_label("Subscribe to newsletter").check() +page.get_by_label("Subscribe to newsletter").press("Tab") +page.get_by_role("button", name="Submit").press("Enter") +""" + ) + + assert obs["last_action_error"] == "" + assert reward == 0 + assert term == False + assert trunc == False + + obs, reward, term, trunc, info = env.step( + f"""\ +page.get_by_label("LABEL DOES NOT EXIST:").fill("Hello") +page.get_by_role("button", name="Submit").press("Enter") +""" + ) + + assert obs["last_action_error"] != "" + assert reward == 0 + assert term == False + assert trunc == False + + env.close() + + +def test_max_episode_steps(): + # no max_steps + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + obs, reward, term, trunc, info = env.step("") + + assert term == False + assert trunc == False + + obs, reward, term, trunc, info = env.step("") + + assert term == False + assert trunc == False + + # max_steps = 2 + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + max_episode_steps=2, + ) + obs, info = env.reset() + + obs, reward, term, trunc, info = env.step("") + + assert term == False + assert trunc == False + + obs, reward, term, trunc, info = env.step("") + + assert term == False + assert trunc == True + + env.close() + + +def test_active_page(): + action_set = PythonActionSet() + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + obs, info = env.reset() + + assert len(obs["open_pages_urls"]) == 1 + assert obs["active_page_index"] == 0 + + obs, reward, term, trunc, info = env.step("page.context.new_page()") + + assert len(obs["open_pages_urls"]) == 2 + assert obs["active_page_index"] == 1 + + obs, reward, term, trunc, info = env.step("page.context.pages[0].mouse.click(5, 5)") + + assert len(obs["open_pages_urls"]) == 2 + assert obs["active_page_index"] == 0 + + obs, reward, term, trunc, info = env.step("page.context.pages[1].mouse.click(5, 5)") + + assert len(obs["open_pages_urls"]) == 2 + assert obs["active_page_index"] == 1 + + obs, reward, term, trunc, info = env.step("page.context.pages[1].close()") + + assert len(obs["open_pages_urls"]) == 1 + assert obs["active_page_index"] == 0 + + obs, reward, term, trunc, info = env.step("page.close()") + + assert len(obs["open_pages_urls"]) == 1 + assert obs["active_page_index"] == 0 + + obs, reward, term, trunc, info = env.step("page.context.new_page()") + + assert len(obs["open_pages_urls"]) == 2 + assert obs["active_page_index"] == 1 + + obs, reward, term, trunc, info = env.step("page.close()") + + assert len(obs["open_pages_urls"]) == 1 + assert obs["active_page_index"] == 0 + + env.close() + + +def test_nested_iframes_default_demo_mode(): + demo_mode = "default" + action_set = HighLevelActionSet(demo_mode=demo_mode) + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": BASIC_IFRAME_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + obs, info = env.reset() + assert not obs["last_action_error"] + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + inner_checkbox = soup.find("input", attrs={"id": "checkbox_2"}) + + assert inner_checkbox.has_attr("checked") + # click box + action = f"""\ +click({repr(inner_checkbox.get(BID_ATTR))}) +""" + click_start = time() + obs, _, _, _, _ = env.step(action) + click_end = time() + # clicking should be slow in demo mode + assert click_end - click_start > 1 + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + inner_checkbox = soup.find("input", attrs={"id": "checkbox_2"}) + # box is not checked; meaning it was clicked by the previous action + assert not inner_checkbox.has_attr("checked") + + env.close() + + +@pytest.mark.parametrize("global_demo_mode", [True, False]) +@pytest.mark.parametrize("demo_mode", [None, "off", "default", "only_visible_elements", "all_blue"]) +def test_demo_mode(global_demo_mode: bool, demo_mode: str): + action_set = HighLevelActionSet(demo_mode=demo_mode) + browsergym.core.action.set_global_demo_mode(global_demo_mode) + + demo_mode_active = (global_demo_mode and demo_mode is None) or ( + demo_mode is not None and demo_mode != "off" + ) + + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=action_set.to_python_code, + ) + obs, info = env.reset() + assert not obs["last_action_error"] + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + email_field = soup.find("input", attrs={"id": "email"}) + checkbox = soup.find("input", attrs={"id": "subscribe"}) + + # check that the email field is empty + assert email_field.get("value") == "" + + # check that the box is not checked + assert not checkbox.has_attr("checked") + + # click box + action = f"""\ +click({repr(checkbox.get(BID_ATTR))}) +""" + obs, reward, terminated, truncated, info = env.step(action) + assert not obs["last_action_error"] + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + checkbox = soup.find("input", attrs={"type": "checkbox", "id": "subscribe"}) + + # check that the box is checked + assert checkbox.has_attr("checked") + + # clicking should be slow (only in demo mode) + action_time = info["action_exec_stop"] - info["action_exec_start"] + if demo_mode_active: + assert action_time > 2 + else: + assert action_time <= 1.5 + + # fill box + action = f"""\ +fill({repr(email_field.get(BID_ATTR))}, "test@test") +""" + obs, reward, terminated, truncated, info = env.step(action) + assert not obs["last_action_error"] + + soup = bs4.BeautifulSoup(flatten_dom_to_str(obs["dom_object"]), "lxml") + + # email field has been filled correctly + email_field = soup.find("input", attrs={"id": "email"}) + assert email_field.get("value") == "test@test" + + # typing should be slow (only in demo mode) + action_time = info["action_exec_stop"] - info["action_exec_start"] + if demo_mode_active: + assert action_time > 2 + else: + assert action_time <= 1.5 + + env.close() + + +@pytest.mark.parametrize("resizeable_window", (True, False)) +@pytest.mark.parametrize("size", ((1600, 1200), (800, 800))) +def test_resizeable_window(resizeable_window, size): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + viewport={"width": size[0], "height": size[1]}, + resizeable_window=resizeable_window, + ) + obs, info = env.reset() + assert not obs["last_action_error"] + + assert (obs["screenshot"].shape[1], obs["screenshot"].shape[0]) == size + + env.close() diff --git a/BrowserGym/tests/core/test_observation.py b/BrowserGym/tests/core/test_observation.py new file mode 100644 index 0000000000000000000000000000000000000000..36bb341937b265d8792199ac4722d404b3199049 --- /dev/null +++ b/BrowserGym/tests/core/test_observation.py @@ -0,0 +1,819 @@ +import ast +import os +from pathlib import Path + +import bs4 +import gymnasium as gym +import numpy as np +import pytest +import regex as re + +# register gym environments +import browsergym.core +from browsergym.core.constants import BROWSERGYM_ID_ATTRIBUTE as BID_ATTR +from browsergym.core.observation import ( + _post_extract, + _pre_extract, + extract_all_frame_axtrees, + extract_dom_snapshot, + extract_merged_axtree, + extract_screenshot, +) +from browsergym.utils.obs import flatten_axtree_to_str, flatten_dom_to_str + +__SLOW_MO = 1000 if "DISPLAY_BROWSER" in os.environ else None +__HEADLESS = False if "DISPLAY_BROWSER" in os.environ else True +__TIMEOUT = 500 +__VIEWPORT = {"width": 800, "height": 600} + +__DATA_DIR = Path(__file__).resolve().parent / "data" + +TEST_PAGE = f"file://{__DATA_DIR}/test_page.html" +TEST_PAGE_2 = f"file://{__DATA_DIR}/test_page_2.html" +MULTI_IFRAME_URL = f"file://{__DATA_DIR}/basic_iframe_site/basic_iframe_2.html" +SHADOW_DOM_URL = f"file://{__DATA_DIR}/basic_shadow_dom_site/basic_shadow_dom.html" +SIMPLE_SHADOW_DOM_URL = f"file://{__DATA_DIR}/basic_shadow_dom_site/simple_shadow_dom.html" +BASIC_IFRAME_URL = f"file://{__DATA_DIR}/basic_shadow_iframe_site/basic_iframe.html" +BASIC_IFRAME_2_URL = f"file://{__DATA_DIR}/basic_shadow_iframe_site/basic_iframe_2.html" +INNER_IFRAME_URL = f"file://{__DATA_DIR}/basic_shadow_iframe_site/inner-iframe.html" +OUTER_IFRAME_URL = f"file://{__DATA_DIR}/basic_shadow_iframe_site/outer-iframe.html" +CUSTOM_PAGE_URL = f"file://{__DATA_DIR}/custom_page/basic_iframe.html" +MULTI_IFRAME_URL = f"file://{__DATA_DIR}/basic_iframe_site/basic_iframe_2.html" + + +@pytest.mark.skip(reason="TODO: how to get the final viewport size right?") +def test_extract_screenshot(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + _pre_extract(env.unwrapped.page) + screenshot = extract_screenshot(env.unwrapped.page) + _post_extract(env.unwrapped.page) + + # 3D array (height, width, rgb) of unsigned bytes (between 0 and 255) + assert isinstance(screenshot, np.ndarray) + assert len(screenshot.shape) == 3 + assert screenshot.shape[0] == __VIEWPORT["height"] + assert screenshot.shape[1] == __VIEWPORT["width"] + assert screenshot.shape[2] == 3 # RGB + assert screenshot.dtype == np.uint8 + + env.close() + + +def test_extract_axtree_simple(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + _pre_extract(env.unwrapped.page) + all_frame_axtrees = extract_all_frame_axtrees(env.unwrapped.page) + merged_axtree = extract_merged_axtree(env.unwrapped.page) + _post_extract(env.unwrapped.page) + + # single frame + assert len(all_frame_axtrees) == 1 + assert len(next(iter(all_frame_axtrees.values()))["nodes"]) == len(merged_axtree["nodes"]) + + env.close() + + +def test_extract_axtree_multi_iframe(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": MULTI_IFRAME_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + _pre_extract(env.unwrapped.page) + all_frame_axtrees = extract_all_frame_axtrees(env.unwrapped.page) + merged_axtree = extract_merged_axtree(env.unwrapped.page) + _post_extract(env.unwrapped.page) + + # multiple frames + assert len(all_frame_axtrees) == 3 + + # total number of nodes in merged and individual frame axtrees should be equal + n_nodes = 0 + for frame_id, frame_axtree in all_frame_axtrees.items(): + n_nodes += len(frame_axtree["nodes"]) + + assert n_nodes == len(merged_axtree["nodes"]) + + env.close() + + +def test_extract_dom_simple(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + _pre_extract(env.unwrapped.page) + dom_snapshot = extract_dom_snapshot(env.unwrapped.page) + _post_extract(env.unwrapped.page) + + # single frame + assert len(dom_snapshot["documents"]) == 1 + + env.close() + + +def test_extract_dom_multi_iframe(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": MULTI_IFRAME_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + _pre_extract(env.unwrapped.page) + dom_snapshot = extract_dom_snapshot(env.unwrapped.page) + _post_extract(env.unwrapped.page) + + # multiple frames + assert len(dom_snapshot["documents"]) == 3 + + env.close() + + +def test_simple_shadowdom(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": SIMPLE_SHADOW_DOM_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + # retrieve an input element inside the shadowDOM + elem = env.unwrapped.page.get_by_placeholder("Level 1.1 Text Field 1") + assert elem.count() == 1 + + # elem should have a browsergym_id in its BID_ATTR attribute + elem_id = elem.get_attribute(BID_ATTR) + assert elem_id is not None + + # elem should not have an aria-description (it should have been cleaned) + aria_description = elem.get_attribute("aria-description") + assert aria_description is None + + # elem should not have an aria-roledescription (it should have been cleaned) + aria_roledescription = elem.get_attribute("aria-roledescription") + assert aria_roledescription is None + + # check that elem can be retrieved correctly using its browsergym_id + elem2 = env.unwrapped.page.get_by_test_id(elem_id) + assert elem2.count() == 1 + assert env.unwrapped.page.evaluate( + "([node1, node2]) => {return node1.isEqualNode(node2);}", + [elem.element_handle(), elem2.element_handle()], + ) + + env.close() + + +def test_nested_shadowdom(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": SHADOW_DOM_URL}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + # retrieve an input element inside the nested shadowDOM + elem = env.unwrapped.page.get_by_placeholder("Level 2.4 Text Field 2") + assert elem.count() == 1 + + # elem should have a browsergym_id in its BID_ATTR attribute + elem_id = elem.get_attribute(BID_ATTR) + assert elem_id is not None + + # elem should not have an aria-description (it should have been cleaned) + aria_description = elem.get_attribute("aria-description") + assert aria_description is None + + # elem should not have an aria-roledescription (it should have been cleaned) + aria_roledescription = elem.get_attribute("aria-roledescription") + assert aria_roledescription is None + + # check that elem can be retrieved correctly using its browsergym_id + elem2 = env.unwrapped.page.get_by_test_id(elem_id) + assert elem2.count() == 1 + assert env.unwrapped.page.evaluate( + "([node1, node2]) => {return node1.isEqualNode(node2);}", + [elem.element_handle(), elem2.element_handle()], + ) + + env.close() + + +@pytest.mark.parametrize( + "url", + [ + TEST_PAGE, + MULTI_IFRAME_URL, + SIMPLE_SHADOW_DOM_URL, + BASIC_IFRAME_URL, + BASIC_IFRAME_2_URL, + INNER_IFRAME_URL, + OUTER_IFRAME_URL, + ], +) +def test_dom_has_bids_no_aria(url): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": url}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + viewport=__VIEWPORT, + timeout=__TIMEOUT, + ) + obs, info = env.reset() + + # exceptions + dom_node_names_without_bid = ["html", "#text", "#document", "#comment"] + axtree_roles_without_bid = ["RootWebArea", "none", "generic", "StaticText", "InlineTextBox"] + + # 1. test the DOM snapshot for BID_ATTR, "aria-description" and "aria-roledescription" + + # check all HTML elements in the DOM for unique browsergym id + dom = obs["dom_object"] + bids = [] + for doc in dom["documents"]: + for node_name_id, attributes in zip(doc["nodes"]["nodeName"], doc["nodes"]["attributes"]): + node_name = dom["strings"][node_name_id] + # read the node's attributes + j = 0 + bid = None + while j < len(attributes): + attr_name = dom["strings"][attributes[j]] + attr_value = dom["strings"][attributes[j + 1]] + + # print(f"{node_name} {attr_name}: {attr_value}") + + # check that the "aria-roledescription" attribute is absent (this is specific to this test page) + assert attr_name != "aria-roledescription" + + # check that the "aria-description" attribute is absent (this is specific to this test page) + assert attr_name != "aria-description" + + # extract the browsergym id from the BID_ATTR attribute + if attr_name == BID_ATTR: + bid = attr_value + j += 2 + + # check that all elements (with exceptions) have a browsergym id + if node_name not in dom_node_names_without_bid: + assert bid is not None + + if bid is not None: + bids.append(bid) + + # check that all browsergym ids are unique + assert len(bids) == len(set(bids)) + + # 2. test the AXTree for "browsergym_id" and "description" properties + axtree = obs["axtree_object"] + bids = [] + for node in axtree["nodes"]: + bid = node.get("browsergym_id", None) + + # check that the "aria-roledescription" attribute is absent (this is specific to this test page) + for property in node.get("properties", []): + assert property["name"] != "roledescription" + + # check that the "aria-description" attribute is absent (this is specific to this test page) + assert "description" not in node + + # check that all elements (with exceptions) have a browsergym id + if node["role"]["value"] not in axtree_roles_without_bid: + assert bid is not None + + if bid is not None: + bids.append(bid) + + # check that all browsergym ids are unique + assert len(bids) == len(set(bids)) + + env.close() + + +def test_dom_to_text(): + env = gym.make( + "browsergym/openended", + task_kwargs={"start_url": TEST_PAGE_2}, + headless=__HEADLESS, + slow_mo=__SLOW_MO, + timeout=__TIMEOUT, + action_mapping=None, + ) + obs, info = env.reset() + + dom = flatten_dom_to_str(obs["dom_object"]) + assert isinstance(dom, str) + assert "Subscribe to newsletter" in dom + assert "Janice" not in dom + + obs, reward, term, trunc, info = env.step( + f"""\ +page.get_by_label("Name:").click() +page.get_by_label("Name:").fill("Janice") +page.get_by_label("Name:").press("Tab") +page.get_by_label("Email:").fill("janice@mail.com") +page.get_by_label("Email:").press("Tab") +page.get_by_label("Age:", exact=True).fill("21") +page.get_by_label("Age:", exact=True).press("Tab") +""" + ) + + dom = flatten_dom_to_str(obs["dom_object"]) + assert "Janice" in dom + assert "janice@mail.com" in dom + + dom = flatten_dom_to_str( + obs["dom_object"], + extra_properties=obs["extra_element_properties"], + with_visible=True, + with_clickable=True, + with_center_coords=True, + with_bounding_box_coords=True, + with_som=True, + ) + assert 'box="(' in dom + assert 'center="(' in dom + assert 'clickable="" som="" type="submit" value="Submit" visible=""' in dom + assert 'head bid="1">' in dom + assert 'clickable="" for="email" visible=""' in dom + assert "Text within a non-html tag" in dom + assert "Text that should not be visible" in dom + + dom = flatten_dom_to_str( + obs["dom_object"], extra_properties=obs["extra_element_properties"], filter_som_only=True + ) + assert 'for="email"' not in dom + assert 'type="submit" value="Submit"' in dom + assert "Text within a non-html tag" not in dom + assert "Text that should not be visible" not in dom + + dom = flatten_dom_to_str( + obs["dom_object"], + extra_properties=obs["extra_element_properties"], + filter_visible_only=True, + ) + assert " + + + +

Benchmark Results Report

+ + +
+ + +
+ + +
+""" + + # Process each Task/Step data + for i, step_data in enumerate(data): + task_id = step_data.get("task_id", "N/A") + step_id = step_data.get("step_id", "N/A") + intent = step_data.get("intent", "N/A") + start_url = step_data.get("start_url", "N/A") + gt_checklist = step_data.get("gt_checklist", "N/A") + generated_checklist = step_data.get("generated_checklist", None) + trajectory = step_data.get("trajectory", "N/A") + text_observation = step_data.get("text_observation", "N/A") + source_name = step_data.get("source_name", "") + + # Wrap each Task/Step in a container with a unique ID (hidden initially) + html_content += f""" +
+
+

Task ID: {html.escape(str(task_id))} | Step ID: {html.escape(str(step_id))} {f'({html.escape(source_name)})' if source_name else ''}

+

Intent:

+

{html.escape(intent)}

+

Start URL: {html.escape(start_url)}

+ +

Ground Truth Checklist:

+ 
{html.escape(gt_checklist)}
+""" + if checklist_generation and generated_checklist is not None: + html_content += f""" +
+ Generated Checklist (Click to expand/collapse) + 
{html.escape(str(generated_checklist))}
+
+""" + + html_content += f""" +
+ Trajectory (Click to expand/collapse) + 
{html.escape(trajectory)}
+
+ +
+ Text Observation (Click to expand/collapse) + 
{html.escape(text_observation)}
+
+
+""" + + # Chosen Responses + if 'chosen' in step_data and step_data['chosen']: + html_content += '

Chosen Responses:

' + for choice_block in step_data['chosen']: + thought = choice_block.get('thought', 'N/A') + action = choice_block.get('action', 'N/A') + responses = choice_block.get('response', []) + scores = choice_block.get('score', []) + + # Add Thought and Action information + html_content += f""" +
+

Thought:

+ 
{html.escape(thought)}
+

Action:

+ 
{html.escape(action)}
+
""" + + # Loop through responses and create toggles + for idx, (response, score) in enumerate(zip(responses, scores)): + html_content += f""" +
+ Judge Response {idx + 1}: {html.escape(str(score))} + 
{html.escape(str(response))}
+
""" + html_content += '
' # End chosen-section + + # Rejected Responses + if 'rejected' in step_data and step_data['rejected']: + html_content += '

Rejected Responses:

' + for rejection_block in step_data['rejected']: + thought = rejection_block.get('thought', 'N/A') + action = rejection_block.get('action', 'N/A') + responses = rejection_block.get('response', []) + scores = rejection_block.get('score', []) + + # Add Thought and Action information + html_content += f""" +
+

Thought:

+ 
{html.escape(thought)}
+

Action:

+ 
{html.escape(action)}
+
""" + + # Loop through responses and create toggles + for idx, (response, score) in enumerate(zip(responses, scores)): + html_content += f""" +
+ Judge Response {idx + 1}: {html.escape(str(score))} + 
{html.escape(str(response))}
+
""" + html_content += '
' # End rejected-section + + html_content += """ +
+
+""" + + # Finalize HTML and add JavaScript + html_content += """ +
+ + + + + +""" + + # Save the HTML file + try: + with open(html_path, 'w', encoding='utf-8') as f: + f.write(html_content) + print(f"Completed: HTML report created at {html_path}") + except IOError: + print(f"Error: Failed to write HTML file - {html_path}") + except Exception as e: + print(f"Unexpected error during HTML file saving: {e}") + +# --- Example Usage --- +# input_json_file = 'path/to/your/results.json' +# output_html_file = 'trajectory_report.html' +# create_html_report(input_json_file, output_html_file) \ No newline at end of file diff --git a/agent/reward.py b/agent/reward.py new file mode 100644 index 0000000000000000000000000000000000000000..2337bc24110a83634c0ec9d6feba3edde13b85f8 --- /dev/null +++ b/agent/reward.py @@ -0,0 +1,96 @@ +import time +from typing import List, Dict, Any, Optional, Union +import numpy as np +from .mini_bench.reward_agent import ProgressJudgeAgent +from .reward_postprocessor import REWARD_PROCESSORS, REWARD_PROCESSOR_N_SAMPLES, extract_judge_hash +import json +import os +from concurrent.futures import ThreadPoolExecutor, as_completed + +def _process_unit(idx, unit, configs, n_samples, reward_processor, max_retries=5): + """하나의 unit을 처리해 (idx, reward, thought)를 돌려준다.""" + agent = ProgressJudgeAgent(configs) + current_temperature = configs["temperature"] + + rewards = [] + n_err = 0 + retry_count = 0 + judge_hash_count_thought = {} + + while len(rewards) < n_samples and retry_count < max_retries: + # 외부 API 호출 + responses, _ = agent.generate_probs( + unit, "ours", n=n_samples - len(rewards), temperature=current_temperature + ) + + for response in responses: + content = response["response"] + thought = content # 전체를 로그로 저장 + reward = REWARD_PROCESSORS[reward_processor](response) + rewards.append(reward) + + if np.isnan(reward) or reward is None: + n_err += 1 + else: + judge_hash = extract_judge_hash(response) + judge_hash_count_thought[judge_hash] = (judge_hash_count_thought.get(judge_hash, (0, None))[0] + 1, thought) + + if n_err > 0: + # 실패 시 온도를 높여 재시도 + if n_samples == 1: + current_temperature = 0.5 + retry_count += 1 + + reward = np.nanmean(rewards) + if np.isnan(reward): + print(f"[idx={idx}] Warning: reward is NaN after retries -> set 0") + reward = 0.0 + print(judge_hash_count_thought) + thought = max(judge_hash_count_thought.values(), key=lambda x: x[0])[1] + + return idx, reward, thought + + +def get_ar_reward(dataset, base_url, model_name, reward_processor='avg_logits', max_workers=8): + """원본 get_ar_reward를 스레드 버전으로 교체.""" + n_samples = REWARD_PROCESSOR_N_SAMPLES[reward_processor] + + temperature = 0.5 if n_samples > 1 else 0.0 + + configs = { + "model_name": model_name, + "base_url": base_url, + "api_key": "empty", + "temperature": temperature, + "num_generate": 1, + "use_checklist": True, + "input_type": "text_only", + "text_obs_type": "axtree", + "image_obs_type": "som", + "use_in_progress": True, + "use_multimodal": False, + "use_log_probs": True, + } + + t_start = time.time() + results = [None] * len(dataset) + + with ThreadPoolExecutor(max_workers=max_workers) as executor: + futures = [ + executor.submit( + _process_unit, idx, unit, configs, n_samples, reward_processor + ) + for idx, unit in enumerate(dataset) + ] + + for fut in as_completed(futures): + idx, reward, thought = fut.result() + results[idx] = (reward, thought) + + # 순서 보존된 리스트로 분리 + final_rewards = [float(r) for r, _ in results] + thoughts = [t for _, t in results] + + print(f"Time taken (threaded): {time.time() - t_start:.2f} s") + return final_rewards, thoughts + diff --git a/agent/reward_postprocessor.py b/agent/reward_postprocessor.py new file mode 100644 index 0000000000000000000000000000000000000000..4124dba8cf12745a64d756002c3c5e99a17f1123 --- /dev/null +++ b/agent/reward_postprocessor.py @@ -0,0 +1,41 @@ +import numpy as np +import re + + +def extract_judge_hash(response): + """ + checklist 별로 yes, in, no를 판단한 정보를 hash 형태로 변환하여 반환 + """ + content = response['response'] + + try: + judge_content = content.lower().replace(' ', '').split('')[1].split('')[0] + except: + import traceback + traceback.print_exc() + return None + pattern = r":yes|:inprogress|:no" + matches = re.findall(pattern, judge_content) + matches = [{':yes': 'y', ':inprogress': 'i', ':no': 'n'}[match] for match in matches] + return ''.join(matches) + +def average_logits(response): + """ + yes, in, no를 logits 레벨에서 계산. + """ + judge_probs = response['judge_probs'] + + yes_ = np.mean([r['yes'] for r in judge_probs]) + in_ = np.mean([r['in'] for r in judge_probs]) + + reward = yes_ + 0.5 * in_ + return reward + + +REWARD_PROCESSORS = { + 'avg_logits': average_logits +} + +REWARD_PROCESSOR_N_SAMPLES = { + 'avg_logits': 5 +} \ No newline at end of file diff --git a/app.py b/app.py index 0da0319a5b670dce5025888fde58916b96f19869..58fb621ece872ea5d3624e5e1a8d2da7b42359aa 100644 --- a/app.py +++ b/app.py @@ -1,64 +1,134 @@ +import os +import logging import gradio as gr -from huggingface_hub import InferenceClient +import openai +import multiprocessing -""" -For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference -""" -client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") +from process_run import process_run +# Configure logging +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(levelname)s - %(message)s', + handlers=[ + logging.StreamHandler(), + ] +) +logger = logging.getLogger(__name__) +logger.setLevel('INFO') -def respond( - message, - history: list[tuple[str, str]], - system_message, - max_tokens, - temperature, - top_p, -): - messages = [{"role": "system", "content": system_message}] +# Set your OpenAI API key +openai.api_key = os.getenv("OPENAI_API_KEY") - for val in history: - if val[0]: - messages.append({"role": "user", "content": val[0]}) - if val[1]: - messages.append({"role": "assistant", "content": val[1]}) - messages.append({"role": "user", "content": message}) +# Example instructions to display +EXAMPLES = [ + "When did the solar system form? Find on wikipedia.", + "Find the rating of Monopoly (1935) on boardgamegeek.com", +] - response = "" +URL_EXAMPLES = [ + "about:blank", + "https://www.wikipedia.org", + "https://www.boardgamegeek.com" +] - for message in client.chat_completion( - messages, - max_tokens=max_tokens, - stream=True, - temperature=temperature, - top_p=top_p, - ): - token = message.choices[0].delta.content +def main(): + logger.info("Starting BrowserGym web agent") + + with gr.Blocks(title="WebShephered Demo") as demo: + # Add CSS for outlined groups + gr.Markdown("# WebShephered Demo") + with gr.Row(): + with gr.Column(scale=2): + with gr.Column(): + instruction = gr.Textbox( + label="Instruction", + placeholder="Enter your instruction here", + lines=2, + ) + gr.Examples( + examples=[[e] for e in EXAMPLES], + inputs=instruction, + cache_examples=False, + ) + + gr.Markdown("\n\n") + + with gr.Column(): + start_url = gr.Textbox( + label="Starting URL", + placeholder="URL to start the browser at", + value="about:blank" + ) + gr.Examples( + examples=URL_EXAMPLES, + inputs=start_url, + cache_examples=False, + ) - response += token - yield response + gr.Markdown("\n\n") + model_name = gr.Dropdown( + label="Agent Model", + choices=["gpt-4o"], + value="gpt-4o" + ) + run_btn = gr.Button("Run Demo") -""" -For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface -""" -demo = gr.ChatInterface( - respond, - additional_inputs=[ - gr.Textbox(value="You are a friendly Chatbot.", label="System message"), - gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), - gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), - gr.Slider( - minimum=0.1, - maximum=1.0, - value=0.95, - step=0.05, - label="Top-p (nucleus sampling)", - ), - ], -) + gr.Markdown("---") + + with gr.Column(): + gr.Markdown("## Current State") + state_view = gr.Markdown() + browser_view = gr.Image(label="Browser View") + + gr.Markdown("### Task Checklist from WebShephered") + checklist_view = gr.Markdown() + + gr.Markdown("### Action Selection in current step") + with gr.Row() as rm_row: + rm_cards_container = gr.HTML() + with gr.Column(scale=2): + gr.Markdown("## Trajectory") + trajectory_container = gr.HTML() # Placeholder for our custom trajectory component + + + + run_btn.click( + fn=process_run, + inputs=[instruction, model_name, start_url], + outputs=[state_view, browser_view, checklist_view, rm_cards_container, trajectory_container], + api_name="run_agent", + concurrency_limit=32, + show_progress=True + ) + logger.info("Launching Gradio interface") + # Set max_threads to allow multiple concurrent requests + demo.launch(share=True, max_threads=32) if __name__ == "__main__": - demo.launch() + import os + import subprocess + import multiprocessing + + # Install BrowserGym dependencies before running the main application + def install_browsergym(): + try: + print("Installing BrowserGym dependencies...") + subprocess.run("cd BrowserGym && make install", shell=True, check=True) + print("BrowserGym installation completed successfully") + except subprocess.CalledProcessError as e: + print(f"Error installing BrowserGym: {e}") + raise + + # Run the installation before starting the application + if os.path.exists("BrowserGym"): + install_browsergym() + else: + print("BrowserGym directory not found. Skipping installation.") + + # Add support for multiprocessing on Windows + multiprocessing.freeze_support() + main() diff --git a/browser_agent.py b/browser_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..389a0da2a48b912c8f6ea42f9de119eb0414a403 --- /dev/null +++ b/browser_agent.py @@ -0,0 +1,282 @@ +import logging +import os +from typing import Any, List, Tuple + +from browsergym.core.action.highlevel import HighLevelActionSet +from browsergym.utils.obs import ( + flatten_axtree_to_str, + flatten_dom_to_str, + prune_html, +) +from browsergym.experiments import Agent + +from utils import remove_inline_comments_safe, image_to_jpg_base64_url + +import openai + + +logger = logging.getLogger(__name__) + +openai.api_key = os.getenv("OPENAI_API_KEY") + + + +class BrowserAgent(Agent): + def obs_preprocessor(self, obs: dict) -> dict: + return { + "chat_messages": obs["chat_messages"], + "som_screenshot": obs["som_screenshot"], + "goal_object": obs["goal_object"], + "last_action": obs["last_action"], + "last_action_error": obs["last_action_error"], + "open_pages_urls": obs["open_pages_urls"], + "open_pages_titles": obs["open_pages_titles"], + "active_page_index": obs["active_page_index"], + "axtree_txt": flatten_axtree_to_str(obs["axtree_object"], filter_visible_only=True, extra_properties=obs['extra_element_properties'], filter_som_only=True), + "pruned_html": prune_html(flatten_dom_to_str(obs["dom_object"])), + } + + def __init__(self, model_name: str = "gpt-4o", use_html: bool = False, use_axtree: bool = True, use_screenshot: bool = False): + super().__init__() + logger.info(f"Initializing BrowserAgent with model: {model_name}") + logger.info(f"Observation space: HTML={use_html}, AXTree={use_axtree}, Screenshot={use_screenshot}") + + self.model_name = model_name + self.use_html = use_html + self.use_axtree = use_axtree + self.use_screenshot = use_screenshot + + if not (use_html or use_axtree): + raise ValueError("Either use_html or use_axtree must be set to True.") + + self.openai_client = openai.OpenAI() + + self.action_set = HighLevelActionSet( + subsets=["chat", "tab", "nav", "bid", "infeas"], + strict=False, + multiaction=False, + demo_mode="default" + ) + self.action_history = [] + + def get_action(self, obs: dict) -> tuple[str, dict]: + logger.debug("Preparing action request") + + system_msgs = [{ + "type": "text", + "text": """\ +# Instructions + +You are a UI Assistant, your goal is to help the user perform tasks using a web browser. You can +communicate with the user via a chat, to which the user gives you instructions and to which you +can send back messages. You have access to a web browser that both you and the user can see, +and with which only you can interact via specific commands. + +Review the instructions from the user, the current state of the page and all other information +to find the best possible next action to accomplish your goal. Your answer will be interpreted +and executed by a program, make sure to follow the formatting instructions. +""" + }] + + user_msgs = [] + + # Add chat messages + user_msgs.append({ + "type": "text", + "text": "# Chat Messages\n" + }) + for msg in obs["chat_messages"]: + if msg["role"] in ("user", "assistant", "infeasible"): + user_msgs.append({ + "type": "text", + "text": f"- [{msg['role']}] {msg['message']}\n" + }) + logger.debug(f"Added chat message: [{msg['role']}] {msg['message']}") + elif msg["role"] == "user_image": + user_msgs.append({"type": "image_url", "image_url": msg["message"]}) + logger.debug("Added user image message") + + # Add open tabs info + user_msgs.append({ + "type": "text", + "text": "# Currently open tabs\n" + }) + for page_index, (page_url, page_title) in enumerate( + zip(obs["open_pages_urls"], obs["open_pages_titles"]) + ): + user_msgs.append({ + "type": "text", + "text": f"""\ +Tab {page_index}{" (active tab)" if page_index == obs["active_page_index"] else ""} + Title: {page_title} + URL: {page_url} +""" + }) + logger.debug(f"Added tab info: {page_title} ({page_url})") + + # Add accessibility tree if enabled + if self.use_axtree: + user_msgs.append({ + "type": "text", + "text": f"""\ +# Current page Accessibility Tree + +{obs["axtree_txt"]} + +""" + }) + logger.debug("Added accessibility tree") + + # Add HTML if enabled + if self.use_html: + user_msgs.append({ + "type": "text", + "text": f"""\ +# Current page DOM + +{obs["pruned_html"]} + +""" + }) + logger.debug("Added HTML DOM") + + # Add screenshot if enabled + if self.use_screenshot: + user_msgs.append({ + "type": "text", + "text": "# Current page Screenshot\n" + }) + user_msgs.append({ + "type": "image_url", + "image_url": { + "url": image_to_jpg_base64_url(obs["som_screenshot"]), + "detail": "auto" + } + }) + logger.debug("Added screenshot") + + # Add action space description + user_msgs.append({ + "type": "text", + "text": f"""\ +# Action Space + +{self.action_set.describe(with_long_description=False, with_examples=True)} + +Here are examples of actions with chain-of-thought reasoning: + +I now need to click on the Submit button to send the form. I will use the click action on the button, which has bid 12. +```click("12")``` + +I found the information requested by the user, I will send it to the chat. +```send_msg_to_user("The price for a 15\\" laptop is 1499 USD.")``` + +""" + }) + + # Add action history and errors + if self.action_history: + user_msgs.append({ + "type": "text", + "text": "# History of past actions\n" + }) + for action in self.action_history: + user_msgs.append({ + "type": "text", + "text": f"\n{action}\n" + }) + logger.debug(f"Added past action: {action}") + + if obs["last_action_error"]: + user_msgs.append({ + "type": "text", + "text": f"""\ +# Error message from last action + +{obs["last_action_error"]} + +""" + }) + logger.warning(f"Last action error: {obs['last_action_error']}") + + # Ask for next action + user_msgs.append({ + "type": "text", + "text": """\ +# Next action + +You will now think step by step and produce your next best action. Reflect on your past actions, any resulting error message, and the current state of the page before deciding on your next action. +Note: You might use 'goto' action if you're in a blank page. +""" + }) + + # Log the full prompt for debugging + prompt_text_strings = [] + for message in system_msgs + user_msgs: + match message["type"]: + case "text": + prompt_text_strings.append(message["text"]) + case "image_url": + image_url = message["image_url"] + if isinstance(message["image_url"], dict): + image_url = image_url["url"] + if image_url.startswith("data:image"): + prompt_text_strings.append( + "image_url: " + image_url[:30] + "... (truncated)" + ) + else: + prompt_text_strings.append("image_url: " + image_url) + case _: + raise ValueError( + f"Unknown message type {repr(message['type'])} in the task goal." + ) + full_prompt_txt = "\n".join(prompt_text_strings) + logger.debug(full_prompt_txt) + + # Query OpenAI model + logger.info("Sending request to OpenAI") + response = self.openai_client.chat.completions.create( + model=self.model_name, + messages=[ + {"role": "system", "content": system_msgs}, + {"role": "user", "content": user_msgs} + ], + n=20, + temperature=0.8 + ) + parses = [] + for i, choice in enumerate(response.choices): + response = choice.message.content + try: + parses.append({ + 'response': response, + 'thought': response.split('```')[0].strip(), + 'action': remove_inline_comments_safe(response.split('```')[1].strip('`').strip().strip('`').strip()), + }) + except Exception as e: + logger.error(f"Error parsing action: {e}") + logger.error(f"Response: {response}") + logger.error(f"Choice: {choice}") + logger.error(f"Index: {i}") + logger.error(f"Response: {response}") + + candidates = self.get_top_k_actions(parses) + logger.info(f"Received action from OpenAI: {[cand['action'] for cand in candidates]}") + return candidates, {} + + def get_top_k_actions(self, parses, k=3): + count_dict = {} + action_to_parsed = {} + for parsed in parses: + action = parsed["action"] + if action in count_dict: + count_dict[action] += 1 + else: + count_dict[action] = 1 + action_to_parsed[action] = parsed.copy() + + # Get the top_k most frequent actions + sorted_actions = sorted(count_dict.items(), key=lambda x: x[1], reverse=True) + top_k_actions = [action_to_parsed[action] for action, _ in sorted_actions[:k]] + + return top_k_actions \ No newline at end of file diff --git a/process_run.py b/process_run.py new file mode 100644 index 0000000000000000000000000000000000000000..e5a2dd217ab6fcecd566df280d4ae6621e7fcd87 --- /dev/null +++ b/process_run.py @@ -0,0 +1,301 @@ +from pathlib import Path +import multiprocessing +import logging +from PIL import Image +import io +import base64 +import numpy as np +import gymnasium as gym +import os + +from agent.checklist import generate_checklist +from agent.reward import get_ar_reward + +from browser_agent import BrowserAgent + + +logger = logging.getLogger(__name__) +logger.setLevel('INFO') + +templates_dir = Path(__file__).parent / "templates" +CSS_RM_CARDS: str = (templates_dir / "rm_cards.css").read_text() +CSS_TRAJECTORY: str = (templates_dir / "trajectory.css").read_text() +CARD_HTML_TEMPLATE: str = (templates_dir / "card.html").read_text() + +RM_BASE_URL = os.environ['RM_BASE_URL'] +RM_MODEL_NAME = os.environ['RM_MODEL_NAME'] + +def return_state(state, screenshot=None): + return state, None, None, screenshot, None + +def run_agent(instruction: str, model_name: str = "gpt-4o", start_url: str = "about:blank", + use_html: bool = False, use_axtree: bool = True, use_screenshot: bool = False, max_steps: int = 20): + logger.info(f"Starting agent with instruction: {instruction}") + logger.info(f"Configuration: model={model_name}, start_url={start_url}") + + trajectory = [] + trajectory_str = '' + agent = BrowserAgent( + model_name=model_name, + use_html=use_html, + use_axtree=use_axtree, + use_screenshot=use_screenshot + ) + + # Initialize BrowserGym environment + logger.info("Initializing BrowserGym environment") + yield return_state("## Initializing BrowserGym environment...", None) + env = gym.make( + "browsergym/openended", + task_kwargs={ + "start_url": start_url, + "goal": instruction, + }, + wait_for_user_message=True + ) + obs, info = env.reset() + logger.info("Environment initialized") + + # Send user instruction to the environment + logger.info("Sending user instruction to environment") + obs, reward, terminated, truncated, info = env.step({ + "type": "send_msg_to_user", + "message": instruction + }) + processed_obs = agent.obs_preprocessor(obs) + logger.info(f"Obs: {processed_obs.keys()}") + logger.info(f"axtree_txt: {processed_obs['axtree_txt']}") + + yield return_state("## Generating checklist...", obs['som_screenshot']) + checklist = generate_checklist(intent=instruction, start_url=start_url, text_observation=processed_obs['axtree_txt']) + + # yield initial state + current_screenshot = obs['som_screenshot'].copy() + yield "## Rollout actions from policy...", checklist, [], current_screenshot, trajectory.copy() + + try: + step_count = 0 + while step_count < max_steps: + logger.info(f"Step {step_count}: Getting next action") + # Get next action from agent + candidates, _ = agent.get_action(processed_obs) + + yield return_state(f"## Rewarding actions...", current_screenshot) + + total_rewards, total_thoughts = get_ar_reward( + dataset=[ + { + 'text_observation': processed_obs['axtree_txt'], + 'intent': instruction, + 'trajectory': trajectory_str, + 'current_url': processed_obs['open_pages_urls'][processed_obs['active_page_index'][0]], + 'checklist': checklist, + 'thought': cand['thought'], + 'action': cand['action'], + } for cand in candidates + ], + base_url=RM_BASE_URL, + model_name=RM_MODEL_NAME, + ) + + # process rewards + diff_reward = abs(max(total_rewards) - total_rewards[0]) # reward difference between actions with the highest reward and the most frequent. + if diff_reward <= 0.01: + logger.info(f"diff_reward: {diff_reward} -> most frequent action") + max_index = 0 # most frequent action + else: + logger.info(f"diff_reward: {diff_reward} -> highest reward") + max_index = total_rewards.index(max(total_rewards)) # highest reward + + # sort by reward + sorted_indices = sorted(list(enumerate(total_rewards)), key=lambda x: (-1 if x[0] == max_index else 0, -x[1])) + new_order = [idx for idx, _ in sorted_indices] + candidates = [candidates[idx] for idx in new_order] + total_rewards = [total_rewards[idx] for idx in new_order] + total_thoughts = [total_thoughts[idx] for idx in new_order] + + best_cand = candidates[0] + + agent.action_history.append(best_cand['response']) + + action = best_cand['action'] + + # processing action + step_info = { + 'thought': best_cand['thought'], + 'action': action + } + current_cards = [{'thought': cand['thought'], 'action': cand['action'], 'feedback': feedback, 'reward': round(reward, 2)} for idx, (cand, reward, feedback) in enumerate(zip(candidates, total_rewards, total_thoughts))] + + trajectory_str += f'THOUGHT {step_count+1}: {step_info["thought"]}\nACTION {step_count+1}: {step_info["action"]}\n\n' + + # Execute action + logger.info(f"Step {step_count}: Executing action: {action}") + yield f"## Executing action: {action}", checklist, current_cards, current_screenshot, trajectory.copy() + if action.startswith('send_msg_to_user'): + terminated = True + truncated = False + else: + obs, reward, terminated, truncated, info = env.step(action) + trajectory.append((processed_obs['som_screenshot'], [{'action': cand['action'], 'reward': round(reward, 2)} for cand, reward in zip(candidates, total_rewards)])) + processed_obs = agent.obs_preprocessor(obs) + current_screenshot = processed_obs['som_screenshot'].copy() + + while '\n\n' in step_info['thought']: + step_info['thought'] = step_info['thought'].replace('\n\n', '\n') + + # trajectory에 numpy array 직접 저장 + logger.info(f"Step {step_count}: Saved screenshot and updated trajectory") + step_count += 1 + + # yield by each step + yield "## Rollout actions from policy...", checklist, current_cards, current_screenshot, trajectory.copy() + + if terminated or truncated: + logger.info(f"Episode ended: terminated={terminated}, truncated={truncated}") + yield return_state("## Episode ended", current_screenshot) + break + + finally: + logger.info("Finished") + + +def run_agent_worker(instruction, model_name, start_url, use_html, use_axtree, use_screenshot, max_steps, return_queue): + """Worker function that runs the agent in a separate process and puts results in a queue.""" + try: + for result in run_agent(instruction, model_name, start_url, use_html, use_axtree, use_screenshot, max_steps): + return_queue.put(result) + except Exception as e: + logger.error(f"Error in agent worker process: {e}") + return_queue.put(("Error occurred in agent process", [], None, [])) + import traceback + traceback.print_exc() + finally: + # Signal that the process is done + return_queue.put(None) + +def run_agent_wrapper(instruction, model_name="gpt-4o", start_url="about:blank", + use_html=False, use_axtree=True, use_screenshot=False, max_steps=20): + """Wrapper function that runs the agent in a separate process and yields results.""" + return_queue = multiprocessing.Queue() + + # Start the agent in a separate process + p = multiprocessing.Process( + target=run_agent_worker, + args=(instruction, model_name, start_url, use_html, use_axtree, use_screenshot, max_steps, return_queue) + ) + p.daemon = True # Ensure process terminates when parent terminates + p.start() + + # Get results from the queue and yield them + while True: + result = return_queue.get() + if result is None: # End signal + break + yield result + + # Clean up + if p.is_alive(): + p.terminate() + p.join() + +def process_run(instruction, model_name, start_url): + # Use the wrapper function instead of directly calling run_agent + trajectory_generator = run_agent_wrapper( + instruction, + model_name, + start_url, + use_html=False, + use_axtree=True, + use_screenshot=False + ) + + all_trajectory = [] + last_checklist_view, last_trajectory_html = None, None + + for state, checklist_view, rm_cards, screenshot, trajectory in trajectory_generator: + if checklist_view is None: + yield state, screenshot, last_checklist_view, None, last_trajectory_html + continue + # Create HTML for reward model cards + rm_cards_html = f""" + +
+ """ + + for idx, card in enumerate(rm_cards): + rm_cards_html += CARD_HTML_TEMPLATE.format( + additional_class='top-candidate' if idx == 0 else '', + k=idx+1, + suffix='(best)' if idx == 0 else '', + thought=card['thought'], + action=card['action'], + reward=card['reward'], + feedback=card['feedback'] + ) + + rm_cards_html += "
" + all_trajectory = trajectory + + # Create HTML for trajectory display + trajectory_html = f""" + +
+ """ + + for idx, (after_img, cands) in enumerate(all_trajectory): + # Convert image to base64 if needed + img = all_trajectory[idx][0] + if isinstance(img, np.ndarray): + img = Image.fromarray(img) + if isinstance(img, Image.Image): + buffer = io.BytesIO() + img.save(buffer, format="JPEG") + img_str = base64.b64encode(buffer.getvalue()).decode() + img_src = f"data:image/jpeg;base64,{img_str}" + else: + img_src = img + + trajectory_html += f""" +
+
Step {idx + 1}
+
+
+ Browser state +
+
+
Action Candidates:
+
+ """ + + # Display all candidates for this step + for i, cand in enumerate(cands): + action = cand['action'] + reward = cand['reward'] + + trajectory_html += f""" +
+
+ Action {i+1}{' (Selected)' if i == 0 else ''} + Reward: {reward} +
+ 
{action}
+
+ """ + + trajectory_html += """ +
+
+
+
+ """ + + trajectory_html += "
" + + last_checklist_view, last_trajectory_html = checklist_view, trajectory_html + yield state, screenshot, last_checklist_view, rm_cards_html, last_trajectory_html + yield state, screenshot, last_checklist_view, rm_cards_html, last_trajectory_html diff --git a/requirements.txt b/requirements.txt index cfc5b09a68217c6eba8d711a8c995c765049d339..bb8e47a583bb7b74c8504053dbb375c759cbc3ea 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1 +1,7 @@ -huggingface_hub==0.25.2 \ No newline at end of file +gradio +openai +numpy +gymnasium +langsmith +langchain[openai] +pillow \ No newline at end of file diff --git a/templates/card.html b/templates/card.html new file mode 100644 index 0000000000000000000000000000000000000000..274a06f43b3b615e0af8f310946c603bbc44a0dd --- /dev/null +++ b/templates/card.html @@ -0,0 +1,33 @@ +
+
+ Top {k} Action Candidate {suffix} +
+
+
+
Thought:
+
+ 
{thought}
+
+
+
+
Action:
+
+ 
{action}
+
+
+
+
Reward:
+
+ 
{reward}
+
+
+
+
+ Feedback (click to view) + +
+
+
+
\ No newline at end of file diff --git a/templates/rm_cards.css b/templates/rm_cards.css new file mode 100644 index 0000000000000000000000000000000000000000..e09b97dd6a01ae909031d4e476af4120da0b4d0b --- /dev/null +++ b/templates/rm_cards.css @@ -0,0 +1,106 @@ +.rm-cards-container { + display: flex; + gap: 15px; + padding: 10px 0; + overflow-x: auto; +} + +.rm-card { + min-width: 300px; + max-width: 400px; + border: 1px solid #ddd; + border-radius: 8px; + overflow: hidden; + box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); + background: rgba(255, 255, 255, 0.0); +} + +.rm-card.top-candidate { + border: 3px solid #007bff; + box-shadow: 0 4px 8px rgba(0, 0, 150, 0.2); +} + +.rm-card-header { + background: rgba(240, 240, 240, 0.3); + padding: 10px 15px; + font-weight: bold; + border-bottom: 1px solid #ddd; + display: flex; + justify-content: space-between; + align-items: center; +} + +.top-candidate .rm-card-header { + background: rgba(230, 242, 255, 0.3); +} + +.reward-badge { + background: #007bff; + color: white; + padding: 3px 8px; + border-radius: 12px; + font-size: 0.9em; +} + +.rm-card-body { + padding: 15px; + background-color: rgba(240, 240, 240, 0.0); +} + +.card-section { + margin-bottom: 12px; +} + +.card-section-title { + font-weight: bold; + margin-bottom: 5px; + color: #555; +} + +.thought-content { + background: rgba(247, 247, 255, 0.3); + border: 1px solid #d0d0ff; + border-radius: 6px; + padding: 8px; +} + +.action-content { + background: rgba(240, 255, 240, 0.3); + border: 1px solid #d0ffd0; + border-radius: 6px; + padding: 8px; +} + +.feedback-content { + background: rgba(255, 247, 240, 0.3); + border: 1px solid #ffd0a0; + border-radius: 6px; + padding: 8px; +} + +.reward-content { + background: rgba(240, 240, 255, 0.3); + border: 1px solid #d0d0ff; + border-radius: 6px; + padding: 8px; +} + +details { + margin-top: 5px; +} + +summary { + cursor: pointer; + font-weight: bold; + color: #555; +} + +summary:hover { + color: #007bff; +} + +pre { + margin: 0; + white-space: pre-wrap; + word-break: break-word; +} \ No newline at end of file diff --git a/templates/trajectory.css b/templates/trajectory.css new file mode 100644 index 0000000000000000000000000000000000000000..5795985190beaec7a73168113106e8094a16c0cd --- /dev/null +++ b/templates/trajectory.css @@ -0,0 +1,82 @@ +/* templates/trajectory.css */ + +.trajectory-container { + display: flex; + flex-direction: column; + gap: 20px; +} + +.step-container { + border: 1px solid #ddd; + border-radius: 8px; + overflow: hidden; + box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); +} + +.step-header { + background: rgba(240, 240, 240, 0.0); + padding: 10px 15px; + font-weight: bold; + border-bottom: 1px solid #ddd; +} + +.step-content { + display: flex; + gap: 15px; + flex-wrap: wrap; +} + +.step-image { + flex: 1 1 40%; + padding: 10px; +} + +.step-image img { + width: 100%; + border: 1px solid #eee; + border-radius: 4px; +} + +.step-info { + flex: 1 1 55%; + display: flex; + flex-direction: column; + padding: 10px; +} + +.action-candidates { + display: flex; + flex-direction: column; + gap: 10px; +} + +.candidate-box { + background: rgba(245, 240, 255, 0.0); + border: 1px solid #d0d0ff; + border-radius: 6px; + padding: 10px; +} + +.candidate-box.selected { + border: 2px solid #7030a0; + box-shadow: 0 2px 4px rgba(112, 48, 160, 0.1); +} + +.box-title { + font-weight: bold; + margin-bottom: 5px; +} + +.reward-text { + display: inline-block; + color: #555; + font-size: 0.9em; + margin-left: 8px; + font-style: italic; +} + +pre { + margin: 0; + white-space: pre-wrap; + word-break: break-word; +} \ No newline at end of file diff --git a/utils.py b/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..c133195e82b192db4b825a1938ba2a1918a1457c --- /dev/null +++ b/utils.py @@ -0,0 +1,41 @@ +import tokenize +import io +import base64 +import numpy as np +from PIL import Image + +def remove_inline_comments_safe(code: str) -> str: + result = [] + tokens = tokenize.generate_tokens(io.StringIO(code).readline) + + last_line = -1 + current_line = '' + for tok_type, tok_string, (srow, scol), (_, _), _ in tokens: + if srow != last_line: + if current_line: + result.append(current_line.rstrip()) + current_line = '' + last_line = srow + + if tok_type == tokenize.COMMENT: + # 주석 무시 (아무 것도 추가하지 않음) + continue + + current_line += tok_string + + if current_line: + result.append(current_line.rstrip()) + + return '\n'.join(result) + + +def image_to_jpg_base64_url(image: Image.Image | np.ndarray) -> str: + """Return a base64 *JPEG* data‑URL from a PIL image or NumPy array.""" + if isinstance(image, np.ndarray): + image = Image.fromarray(image) + if image.mode in {"RGBA", "LA"}: + image = image.convert("RGB") + with io.BytesIO() as buffer: + image.save(buffer, format="JPEG") + encoded: str = base64.b64encode(buffer.getvalue()).decode() + return f"data:image/jpeg;base64,{encoded}"