import contextvars
import time
import webbrowser
from pathlib import Path

import huggingface_hub
from gradio_client import Client
from httpx import ReadTimeout
from huggingface_hub.errors import RepositoryNotFoundError

from trackio.deploy import deploy_as_space
from trackio.run import Run
from trackio.ui import demo
from trackio.utils import TRACKIO_DIR, TRACKIO_LOGO_PATH, block_except_in_notebook

__version__ = Path(__file__).parent.joinpath("version.txt").read_text().strip()


current_run: contextvars.ContextVar[Run | None] = contextvars.ContextVar(
    "current_run", default=None
)
current_project: contextvars.ContextVar[str | None] = contextvars.ContextVar(
    "current_project", default=None
)
current_server: contextvars.ContextVar[str | None] = contextvars.ContextVar(
    "current_server", default=None
)

config = {}
SPACE_URL = "https://huggingface.co/spaces/{space_id}"


def init(
    project: str,
    name: str | None = None,
    space_id: str | None = None,
    dataset_id: str | None = None,
    config: dict | None = None,
) -> Run:
    """
    Creates a new Trackio project and returns a Run object.

    Args:
        project: The name of the project (can be an existing project to continue tracking or a new project to start tracking from scratch).
        name: The name of the run (if not provided, a default name will be generated).
        space_id: If provided, the project will be logged to a Hugging Face Space instead of a local directory. Should be a complete Space name like "username/reponame". If the Space does not exist, it will be created. If the Space already exists, the project will be logged to it.
        dataset_id: If provided, a persistent Hugging Face Dataset will be created and the metrics will be synced to it every 5 minutes. Should be a complete Dataset name like "username/datasetname". If the Dataset does not exist, it will be created. If the Dataset already exists, the project will be appended to it.
        config: A dictionary of configuration options. Provided for compatibility with wandb.init()
    """
    if not current_server.get() and space_id is None:
        _, url, _ = demo.launch(
            show_api=False, inline=False, quiet=True, prevent_thread_lock=True
        )
        current_server.set(url)
    else:
        url = current_server.get()

    if current_project.get() is None or current_project.get() != project:
        print(f"* Trackio project initialized: {project}")

        if space_id is None:
            print(f"* Trackio metrics logged to: {TRACKIO_DIR}")
            print(
                f'\n* View dashboard by running in your terminal: trackio show --project "{project}"'
            )
            print(f'* or by running in Python: trackio.show(project="{project}")')
        else:
            create_space_if_not_exists(space_id, dataset_id)
            print(
                f"* View dashboard by going to: {SPACE_URL.format(space_id=space_id)}"
            )
    current_project.set(project)

    space_or_url = space_id if space_id else url
    client = Client(space_or_url, verbose=False)
    run = Run(
        project=project, client=client, name=name, config=config, dataset_id=dataset_id
    )
    current_run.set(run)
    globals()["config"] = run.config
    return run


def create_space_if_not_exists(
    space_id: str,
    dataset_id: str | None = None,
) -> None:
    """
    Creates a new Hugging Face Space if it does not exist.

    Args:
        space_id: The ID of the Space to create.
        dataset_id: The ID of the Dataset to create.
    """
    if "/" not in space_id:
        raise ValueError(
            f"Invalid space ID: {space_id}. Must be in the format: username/reponame."
        )
    if dataset_id is not None and "/" not in dataset_id:
        raise ValueError(
            f"Invalid dataset ID: {dataset_id}. Must be in the format: username/datasetname."
        )
    try:
        huggingface_hub.repo_info(space_id, repo_type="space")
        print(f"* Found existing space: {SPACE_URL.format(space_id=space_id)}")
        return
    except RepositoryNotFoundError:
        pass

    print(f"* Creating new space: {SPACE_URL.format(space_id=space_id)}")
    deploy_as_space(space_id, dataset_id)

    client = None
    for _ in range(30):
        try:
            client = Client(space_id, verbose=False)
            if client:
                break
        except ReadTimeout:
            print("* Space is not yet ready. Waiting 5 seconds...")
            time.sleep(5)
        except ValueError as e:
            print(f"* Space gave error {e}. Trying again in 5 seconds...")
            time.sleep(5)


def log(metrics: dict) -> None:
    """
    Logs metrics to the current run.

    Args:
        metrics: A dictionary of metrics to log.
    """
    if current_run.get() is None:
        raise RuntimeError("Call trackio.init() before log().")
    current_run.get().log(metrics)


def finish():
    """
    Finishes the current run.
    """
    if current_run.get() is None:
        raise RuntimeError("Call trackio.init() before finish().")
    current_run.get().finish()


def show(project: str | None = None):
    """
    Launches the Trackio dashboard.

    Args:
        project: The name of the project whose runs to show. If not provided, all projects will be shown and the user can select one.
    """
    _, url, share_url = demo.launch(
        show_api=False,
        quiet=True,
        inline=False,
        prevent_thread_lock=True,
        favicon_path=TRACKIO_LOGO_PATH,
        allowed_paths=[TRACKIO_LOGO_PATH],
    )
    base_url = share_url + "/" if share_url else url
    dashboard_url = base_url + f"?project={project}" if project else base_url
    print(f"* Trackio UI launched at: {dashboard_url}")
    webbrowser.open(dashboard_url)
    block_except_in_notebook()