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Tracy André
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Parent(s):
e73e903
updated
Browse files- app.py +56 -58
- requirements.txt +1 -1
app.py
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@@ -1,24 +1,46 @@
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import os
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from fastapi import FastAPI
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from fastmcp import FastMCP
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from gradio.routes import mount_gradio_app
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# Import your existing Gradio app and analysis tools
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from gradio_app import create_gradio_app
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from data_loader import AgriculturalDataLoader
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from analysis_tools import AgriculturalAnalyzer
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#
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PORT = int(os.environ.get("PORT", 7860))
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# Initialize agricultural components
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data_loader = AgriculturalDataLoader()
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analyzer = AgriculturalAnalyzer(data_loader)
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#
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mcp = FastMCP("Agricultural Analysis Tools")
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@mcp.tool
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def analyze_weed_pressure(years: list[int] | None = None, plots: list[str] | None = None) -> str:
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"""Analyze weed pressure trends using IFT herbicide data from Kerguéhennec experimental station."""
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@@ -140,76 +162,52 @@ def dataset_resource() -> str:
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"""Agricultural dataset summary resource."""
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return get_dataset_summary()
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#
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# Initialize MCP session manager
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async with mcp_http_app.lifespan(app):
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yield
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app = FastAPI(
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title="Agricultural Analysis - MCP + Gradio",
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description="Agricultural data analysis with MCP tools and Gradio interface",
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version="1.0.0",
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lifespan=lifespan
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)
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@app.get("/health")
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def health():
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"""Health check endpoint."""
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return {"ok": True, "service": "agricultural-mcp-server", "version": "1.0.0"}
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for route in app.routes:
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if hasattr(route, 'path'):
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routes.append({
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"path": route.path,
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"methods": getattr(route, 'methods', None),
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"name": getattr(route, 'name', None)
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})
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elif hasattr(route, 'path_regex'):
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routes.append({
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"path": str(route.path_regex.pattern),
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"type": "mount",
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"name": getattr(route, 'name', None)
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})
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return {"routes": routes, "mcp_tools": len(mcp.tools)}
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# ========= Mount MCP Server directly =========
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app.mount("/mcp", mcp_http_app)
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# ========= Mount Gradio UI =========
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demo = create_gradio_app()
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final_app = mount_gradio_app(app, demo, path="/")
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#
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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# ========= Tests FastMCP (exemples curl) =========
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# Health
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# curl -s https://hackathoncra-mcp.hf.space/health
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#
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# curl -s -X POST https://hackathoncra-mcp.hf.space/mcp \
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# -H "Content-Type: application/json" \
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# -d '{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}}}'
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# curl -s -X POST https://hackathoncra-mcp.hf.space/mcp \
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# -H "Content-Type: application/json" \
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# -d '{"jsonrpc": "2.0", "id":
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#
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# -H "Content-Type: application/json" \
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# -d '{"jsonrpc": "2.0", "id":
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#
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# -H "Content-Type: application/json" \
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# -d '{"jsonrpc": "2.0", "id":
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import os
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import gradio as gr
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from fastapi import FastAPI
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from gradio.routes import mount_gradio_app
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from starlette.middleware import Middleware
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from starlette.middleware.base import BaseHTTPMiddleware
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from starlette.requests import Request
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from starlette.responses import JSONResponse
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# ==== FastMCP ====
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from fastmcp import FastMCP
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# Import your existing Gradio app and analysis tools
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from gradio_app import create_gradio_app
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from data_loader import AgriculturalDataLoader
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from analysis_tools import AgriculturalAnalyzer
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# --------- Config ---------
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PORT = int(os.environ.get("PORT", 7860))
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MCP_BEARER = os.getenv("MCP_BEARER", "") # ajouter dans Settings > Variables & secrets si besoin
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# Initialize agricultural components
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data_loader = AgriculturalDataLoader()
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analyzer = AgriculturalAnalyzer(data_loader)
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# --------- Auth middleware (optionnel) ---------
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class BearerAuthMiddleware(BaseHTTPMiddleware):
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def __init__(self, app, token: str | None):
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super().__init__(app)
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self.token = token
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async def dispatch(self, request: Request, call_next):
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if self.token:
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auth = request.headers.get("authorization", "")
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if not auth.startswith("Bearer ") or auth.split(" ", 1)[1] != self.token:
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return JSONResponse({"detail": "Unauthorized"}, status_code=401)
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return await call_next(request)
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# --------- Déclare le serveur MCP ---------
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mcp = FastMCP("Agricultural Analysis Tools")
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# --------- Outils MCP agricoles ---------
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@mcp.tool
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def analyze_weed_pressure(years: list[int] | None = None, plots: list[str] | None = None) -> str:
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"""Analyze weed pressure trends using IFT herbicide data from Kerguéhennec experimental station."""
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"""Agricultural dataset summary resource."""
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return get_dataset_summary()
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# Crée l'app ASGI FastMCP et protège-la éventuellement
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mcp_app = mcp.http_app( # cf. doc: http_app() retourne une app ASGI montable
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path="/", # endpoint interne de l'app MCP => "/"
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custom_middleware=[
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Middleware(BearerAuthMiddleware, token=MCP_BEARER)
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] if MCP_BEARER else []
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)
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# --------- App FastAPI parente (lifespan important) ---------
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app = FastAPI(title="Agricultural Analysis - Gradio + FastMCP", lifespan=mcp_app.lifespan)
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# Health simple
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@app.get("/health")
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def health():
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return {"ok": True, "service": "agricultural-mcp-server", "version": "1.0.0"}
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# Monte MCP sous /mcp/ (final: /mcp/…)
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app.mount("/mcp", mcp_app)
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# --------- UI Gradio (utilise ton interface existante) ---------
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demo = create_gradio_app()
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# Monte Gradio à la racine
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app = mount_gradio_app(app, demo, path="/")
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# --------- Entrée locale facultative ---------
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=PORT)
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# ========= Tests FastMCP (exemples curl) =========
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# Health
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# curl -s https://hackathoncra-mcp.hf.space/health
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# MCP tools list
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# curl -s -X POST https://hackathoncra-mcp.hf.space/mcp/ \
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# -H "Content-Type: application/json" \
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# -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}'
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# MCP tool call
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# curl -s -X POST https://hackathoncra-mcp.hf.space/mcp/ \
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# -H "Content-Type: application/json" \
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# -d '{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "get_dataset_summary", "arguments": {}}}'
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# MCP avec Bearer (si MCP_BEARER défini)
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# curl -s -X POST https://hackathoncra-mcp.hf.space/mcp/ \
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# -H "Authorization: Bearer VOTRE_TOKEN" \
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# -H "Content-Type: application/json" \
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# -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}'
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requirements.txt
CHANGED
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fastapi>=0.112
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uvicorn[standard]>=0.30
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gradio>=4.43
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fastmcp>=2.
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pandas>=2.0.0
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numpy>=1.24.0
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matplotlib>=3.6.0
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fastapi>=0.112
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uvicorn[standard]>=0.30
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gradio>=4.43
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fastmcp>=2.3.2
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pandas>=2.0.0
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numpy>=1.24.0
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matplotlib>=3.6.0
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