deleted unused files and folders. cleaned up front-end UI a bit. Tidied up the notebooks for both APIs. Added mcp.json config info in the README
Browse files- README.md +32 -1
- api_playground.ipynb +0 -351
- app.py +4 -0
- mcp_client.py +4 -4
- openf1_tools.py +0 -4
- tests/test_resource_mappings.py +0 -16
- utils/time_utils.py +0 -13
README.md
CHANGED
@@ -19,4 +19,35 @@ The MCP server is defined inside `app.py` and is hosted on HuggingFace spaces us
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## MCP Client
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The MCP client is defined inside `mcp_client.py` and allows interaction with the MCP server through server side events (SSE) transport.
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## MCP Client
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The MCP client is defined inside `mcp_client.py` and allows interaction with the MCP server through server side events (SSE) transport.
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For MCP clients that support SSE transport (Not Claude Desktop, see below for info), the following configuration can be used:
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```json
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{
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"mcpServers": {
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"gradio": {
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"url": "https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse"
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}
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}
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}
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```
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For Claude Desktop, the following configuration can instead be used, but make sure you have Node.js installed:
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```json
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{
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"mcpServers": {
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"gradio": {
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"command": "npx",
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"args": [
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"mcp-remote",
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"https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse",
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"--transport",
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"sse-only"
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]
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}
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}
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}
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```
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api_playground.ipynb
CHANGED
@@ -136,357 +136,6 @@
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"circuit_info = session.get_circuit_info()\n",
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"pprint(circuit_info)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a5047955",
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"metadata": {},
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"source": [
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"# OpenF1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "b5d31092",
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"metadata": {},
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"outputs": [],
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"source": [
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"def make_request(api_action_string: str, debug: bool = False):\n",
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" try: \n",
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" response = urlopen(f\"https://api.openf1.org/v1/{api_action_string}\")\n",
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" data = json.loads(response.read().decode('utf-8'))\n",
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" if debug: pprint(data)\n",
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" return data\n",
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" except Exception as e:\n",
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" print(f\"Error: {e}\")"
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]
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},
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{
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"cell_type": "code",
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"id": "599aeec3",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[{'brake': 0,\n",
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" 'date': '2023-09-15T13:08:19.923000+00:00',\n",
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" 'driver_number': 55,\n",
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" 'drs': 12,\n",
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" 'meeting_key': 1219,\n",
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" 'n_gear': 8,\n",
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" 'rpm': 11141,\n",
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" 'session_key': 9159,\n",
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" 'speed': 315,\n",
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" 'throttle': 99},\n",
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" {'brake': 100,\n",
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" 'date': '2023-09-15T13:35:41.808000+00:00',\n",
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" 'driver_number': 55,\n",
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" 'drs': 8,\n",
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" 'meeting_key': 1219,\n",
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" 'n_gear': 8,\n",
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" 'rpm': 11023,\n",
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" 'session_key': 9159,\n",
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" 'speed': 315,\n",
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" 'throttle': 57}]\n"
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]
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}
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],
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"source": [
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"# Respone object for OpenF1\n",
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"\n",
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"response = urlopen('https://api.openf1.org/v1/car_data?driver_number=55&session_key=9159&speed>=315')\n",
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"data = json.loads(response.read().decode('utf-8'))\n",
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"pprint(data)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"id": "2b06a5c0",
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"outputs": [
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"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>meeting_key</th>\n",
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" <th>session_key</th>\n",
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" <th>location</th>\n",
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" <th>date_start</th>\n",
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" <th>date_end</th>\n",
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" <th>session_type</th>\n",
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" <th>session_name</th>\n",
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" <th>country_key</th>\n",
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" <th>country_code</th>\n",
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" <th>country_name</th>\n",
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" <th>circuit_key</th>\n",
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" <th>circuit_short_name</th>\n",
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" <th>gmt_offset</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1262</td>\n",
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" <td>9964</td>\n",
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" <td>Barcelona</td>\n",
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" <td>2025-05-30T11:30:00+00:00</td>\n",
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" <td>2025-05-30T12:30:00+00:00</td>\n",
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" <td>Practice</td>\n",
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" <td>Practice 1</td>\n",
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" <td>1</td>\n",
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" <td>ESP</td>\n",
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" <td>Spain</td>\n",
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" <td>15</td>\n",
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" <td>Catalunya</td>\n",
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" <td>02:00:00</td>\n",
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" <td>2025</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>1262</td>\n",
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" <td>9965</td>\n",
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" <td>Barcelona</td>\n",
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-
" <td>2025-05-30T15:00:00+00:00</td>\n",
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" <td>2025-05-30T16:00:00+00:00</td>\n",
|
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" <td>Practice</td>\n",
|
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" <td>Practice 2</td>\n",
|
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" <td>1</td>\n",
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" <td>ESP</td>\n",
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" <td>Spain</td>\n",
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" <td>15</td>\n",
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" <td>Catalunya</td>\n",
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" <td>02:00:00</td>\n",
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" <td>2025</td>\n",
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" </tr>\n",
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" </tbody>\n",
|
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"</table>\n",
|
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"</div>"
|
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],
|
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-
"text/plain": [
|
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-
" meeting_key session_key location date_start \\\n",
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"0 1262 9964 Barcelona 2025-05-30T11:30:00+00:00 \n",
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"1 1262 9965 Barcelona 2025-05-30T15:00:00+00:00 \n",
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"\n",
|
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" date_end session_type session_name country_key \\\n",
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"0 2025-05-30T12:30:00+00:00 Practice Practice 1 1 \n",
|
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"1 2025-05-30T16:00:00+00:00 Practice Practice 2 1 \n",
|
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"\n",
|
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-
" country_code country_name circuit_key circuit_short_name gmt_offset year \n",
|
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"0 ESP Spain 15 Catalunya 02:00:00 2025 \n",
|
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"1 ESP Spain 15 Catalunya 02:00:00 2025 "
|
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]
|
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},
|
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"execution_count": 19,
|
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"metadata": {},
|
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"output_type": "execute_result"
|
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}
|
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],
|
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"source": [
|
308 |
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"# Get session\n",
|
309 |
-
"respone = make_request(\"sessions?country_name=Spain&year=2025\", debug=False)\n",
|
310 |
-
"df = pd.DataFrame(respone)\n",
|
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-
"df.head(n=2)\n"
|
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-
]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 18,
|
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"id": "f13e4f1a",
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"metadata": {},
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"outputs": [
|
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{
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"data": {
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"text/html": [
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"<div>\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
|
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" <thead>\n",
|
339 |
-
" <tr style=\"text-align: right;\">\n",
|
340 |
-
" <th></th>\n",
|
341 |
-
" <th>meeting_key</th>\n",
|
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-
" <th>session_key</th>\n",
|
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-
" <th>location</th>\n",
|
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-
" <th>date_start</th>\n",
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-
" <th>date_end</th>\n",
|
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-
" <th>session_type</th>\n",
|
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" <th>session_name</th>\n",
|
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-
" <th>country_key</th>\n",
|
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-
" <th>country_code</th>\n",
|
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-
" <th>country_name</th>\n",
|
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-
" <th>circuit_key</th>\n",
|
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-
" <th>circuit_short_name</th>\n",
|
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-
" <th>gmt_offset</th>\n",
|
354 |
-
" <th>year</th>\n",
|
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-
" </tr>\n",
|
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" </thead>\n",
|
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" <tbody>\n",
|
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-
" <tr>\n",
|
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-
" <th>0</th>\n",
|
360 |
-
" <td>1262</td>\n",
|
361 |
-
" <td>9966</td>\n",
|
362 |
-
" <td>Barcelona</td>\n",
|
363 |
-
" <td>2025-05-31T10:30:00+00:00</td>\n",
|
364 |
-
" <td>2025-05-31T11:30:00+00:00</td>\n",
|
365 |
-
" <td>Practice</td>\n",
|
366 |
-
" <td>Practice 3</td>\n",
|
367 |
-
" <td>1</td>\n",
|
368 |
-
" <td>ESP</td>\n",
|
369 |
-
" <td>Spain</td>\n",
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370 |
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" <td>15</td>\n",
|
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" <td>Catalunya</td>\n",
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" <td>02:00:00</td>\n",
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" <td>2025</td>\n",
|
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" </tr>\n",
|
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" </tbody>\n",
|
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"</table>\n",
|
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"</div>"
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],
|
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"text/plain": [
|
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" meeting_key session_key location date_start \\\n",
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"0 1262 9966 Barcelona 2025-05-31T10:30:00+00:00 \n",
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"\n",
|
383 |
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" date_end session_type session_name country_key \\\n",
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384 |
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"0 2025-05-31T11:30:00+00:00 Practice Practice 3 1 \n",
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385 |
-
"\n",
|
386 |
-
" country_code country_name circuit_key circuit_short_name gmt_offset year \n",
|
387 |
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"0 ESP Spain 15 Catalunya 02:00:00 2025 "
|
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]
|
389 |
-
},
|
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-
"execution_count": 18,
|
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-
"metadata": {},
|
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"output_type": "execute_result"
|
393 |
-
}
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394 |
-
],
|
395 |
-
"source": [
|
396 |
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"# Current session id (called during FP3 in Spain)\n",
|
397 |
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"respone = make_request(\"sessions?session_key=latest\")\n",
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398 |
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"df = pd.DataFrame(respone)\n",
|
399 |
-
"df.head()"
|
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]
|
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},
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{
|
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"cell_type": "code",
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"execution_count": null,
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"id": "80a5699e",
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|
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" <tr style=\"text-align: right;\">\n",
|
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" <th></th>\n",
|
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" <th>meeting_key</th>\n",
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" <th>session_key</th>\n",
|
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" <th>location</th>\n",
|
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" <th>date_start</th>\n",
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" <th>date_end</th>\n",
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-
" <th>session_type</th>\n",
|
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" <th>session_name</th>\n",
|
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" <th>country_key</th>\n",
|
437 |
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" <th>country_code</th>\n",
|
438 |
-
" <th>country_name</th>\n",
|
439 |
-
" <th>circuit_key</th>\n",
|
440 |
-
" <th>circuit_short_name</th>\n",
|
441 |
-
" <th>gmt_offset</th>\n",
|
442 |
-
" <th>year</th>\n",
|
443 |
-
" </tr>\n",
|
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" </thead>\n",
|
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-
" <tbody>\n",
|
446 |
-
" <tr>\n",
|
447 |
-
" <th>0</th>\n",
|
448 |
-
" <td>1262</td>\n",
|
449 |
-
" <td>9966</td>\n",
|
450 |
-
" <td>Barcelona</td>\n",
|
451 |
-
" <td>2025-05-31T10:30:00+00:00</td>\n",
|
452 |
-
" <td>2025-05-31T11:30:00+00:00</td>\n",
|
453 |
-
" <td>Practice</td>\n",
|
454 |
-
" <td>Practice 3</td>\n",
|
455 |
-
" <td>1</td>\n",
|
456 |
-
" <td>ESP</td>\n",
|
457 |
-
" <td>Spain</td>\n",
|
458 |
-
" <td>15</td>\n",
|
459 |
-
" <td>Catalunya</td>\n",
|
460 |
-
" <td>02:00:00</td>\n",
|
461 |
-
" <td>2025</td>\n",
|
462 |
-
" </tr>\n",
|
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-
" </tbody>\n",
|
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-
"</table>\n",
|
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"</div>"
|
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],
|
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-
"text/plain": [
|
468 |
-
" meeting_key session_key location date_start \\\n",
|
469 |
-
"0 1262 9966 Barcelona 2025-05-31T10:30:00+00:00 \n",
|
470 |
-
"\n",
|
471 |
-
" date_end session_type session_name country_key \\\n",
|
472 |
-
"0 2025-05-31T11:30:00+00:00 Practice Practice 3 1 \n",
|
473 |
-
"\n",
|
474 |
-
" country_code country_name circuit_key circuit_short_name gmt_offset year \n",
|
475 |
-
"0 ESP Spain 15 Catalunya 02:00:00 2025 "
|
476 |
-
]
|
477 |
-
},
|
478 |
-
"execution_count": 5,
|
479 |
-
"metadata": {},
|
480 |
-
"output_type": "execute_result"
|
481 |
-
}
|
482 |
-
],
|
483 |
-
"source": [
|
484 |
-
"# Current session id V2 (called between FP3 and Quali in Spain)\n",
|
485 |
-
"respone = make_request(\"sessions?session_key=latest\")\n",
|
486 |
-
"df = pd.DataFrame(respone)\n",
|
487 |
-
"df.head()\n",
|
488 |
-
"# session_key=latest points to the current or the most recent session NOT the upcoming one"
|
489 |
-
]
|
490 |
}
|
491 |
],
|
492 |
"metadata": {
|
|
|
136 |
"circuit_info = session.get_circuit_info()\n",
|
137 |
"pprint(circuit_info)"
|
138 |
]
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|
139 |
}
|
140 |
],
|
141 |
"metadata": {
|
app.py
CHANGED
@@ -118,6 +118,10 @@ with gr.Blocks() as markdown_tab:
|
|
118 |
Use the tabs above to navigate between different sections and explore the wealth of F1 data available at your fingertips.
|
119 |
""")
|
120 |
|
|
|
|
|
|
|
|
|
121 |
named_interfaces = {
|
122 |
"About": markdown_tab,
|
123 |
"Driver Championship Standings": iface_driver_championship_standings,
|
|
|
118 |
Use the tabs above to navigate between different sections and explore the wealth of F1 data available at your fingertips.
|
119 |
""")
|
120 |
|
121 |
+
|
122 |
+
|
123 |
+
|
124 |
+
|
125 |
named_interfaces = {
|
126 |
"About": markdown_tab,
|
127 |
"Driver Championship Standings": iface_driver_championship_standings,
|
mcp_client.py
CHANGED
@@ -52,7 +52,7 @@ if __name__ == "__main__":
|
|
52 |
tools = mcp_client.get_tools()
|
53 |
|
54 |
print("### MCP tools ### ")
|
55 |
-
print("\n".join(f"{i}: {t.name}: {t.description}" for i,t in enumerate(tools)))
|
56 |
|
57 |
if only_list_tools:
|
58 |
mcp_client.disconnect()
|
@@ -68,9 +68,9 @@ if __name__ == "__main__":
|
|
68 |
)
|
69 |
else:
|
70 |
model = InferenceClientModel(
|
71 |
-
model_id="
|
72 |
-
provider="",
|
73 |
-
|
74 |
)
|
75 |
|
76 |
agent = ToolCallingAgent(tools=[*tools], model=model)
|
|
|
52 |
tools = mcp_client.get_tools()
|
53 |
|
54 |
print("### MCP tools ### ")
|
55 |
+
print("\n".join(f"Tool {1+i}: {t.name}: {t.description}" for i,t in enumerate(tools)))
|
56 |
|
57 |
if only_list_tools:
|
58 |
mcp_client.disconnect()
|
|
|
68 |
)
|
69 |
else:
|
70 |
model = InferenceClientModel(
|
71 |
+
model_id="deepseek-ai/DeepSeek-R1",
|
72 |
+
provider="nebius",
|
73 |
+
api_key=os.getenv("NEBIUS_API_KEY")
|
74 |
)
|
75 |
|
76 |
agent = ToolCallingAgent(tools=[*tools], model=model)
|
openf1_tools.py
CHANGED
@@ -161,9 +161,5 @@ if __name__ == "__main__":
|
|
161 |
data = get_api_endpoint("sessions")
|
162 |
pprint(data)
|
163 |
|
164 |
-
|
165 |
pprint(get_endpoint_info("sessions"))
|
166 |
|
167 |
-
|
168 |
-
# response = send_request(data["api_string"])
|
169 |
-
# pprint(response)
|
|
|
161 |
data = get_api_endpoint("sessions")
|
162 |
pprint(data)
|
163 |
|
|
|
164 |
pprint(get_endpoint_info("sessions"))
|
165 |
|
|
|
|
|
|
tests/test_resource_mappings.py
DELETED
@@ -1,16 +0,0 @@
|
|
1 |
-
""" Tests for resource mappings """
|
2 |
-
|
3 |
-
import os
|
4 |
-
import json
|
5 |
-
|
6 |
-
|
7 |
-
# Load in driver names and numbers
|
8 |
-
resource_dir = os.path.join(os.path.dirname(__file__), "..", "assets")
|
9 |
-
driver_names = json.load(open(os.path.join(resource_dir, "driver_names.json")))
|
10 |
-
driver_numbers = json.load(open(os.path.join(resource_dir, "driver_numbers.json")))
|
11 |
-
|
12 |
-
for name in driver_names["drivers"]:
|
13 |
-
number = driver_numbers.get(name, None)
|
14 |
-
if number is None:
|
15 |
-
raise ValueError(f"Driver {name} does not have a driver number")
|
16 |
-
print("All driver names and numbers are mapped")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
utils/time_utils.py
DELETED
@@ -1,13 +0,0 @@
|
|
1 |
-
import datetime
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
def get_current_time():
|
6 |
-
"""
|
7 |
-
Returns the current time in the format: HH:MM:SS
|
8 |
-
"""
|
9 |
-
# NOTE: I can perhaps modify what "now" is to instead be at a past F1
|
10 |
-
# race when testing real-time tools
|
11 |
-
return datetime.datetime.now().strftime("%H:%M:%S")
|
12 |
-
|
13 |
-
|
|
|
|
|
|
|
|
|
|
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|