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chore: import upstream snapshot with attribution
2026-07-13 13:28:29 +08:00

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Python

"""ASGI entrypoint: Flask (WSGI) + FastMCP on the same process."""
from __future__ import annotations
from a2wsgi import WSGIMiddleware
from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.middleware.cors import CORSMiddleware
from starlette.routing import Mount
from application.api.async_sse import async_sse_routes
from application.app import app as flask_app
from application.core.settings import settings
from application.mcp_server import mcp
_WSGI_THREADPOOL = int(settings.WSGI_THREADPOOL_WORKERS)
mcp_app = mcp.http_app(path="/")
asgi_app = Starlette(
routes=[
Mount("/mcp", app=mcp_app),
# Native-async SSE readers intercept their exact paths before the
# Flask catch-all, so a mostly-idle reconnect tail rides the event
# loop instead of pinning a WSGI threadpool slot. Order matters:
# Starlette matches routes top-to-bottom, so these must precede the
# Mount("/") that hands everything else to Flask.
*async_sse_routes,
Mount("/", app=WSGIMiddleware(flask_app, workers=_WSGI_THREADPOOL)),
],
middleware=[
Middleware(
CORSMiddleware,
allow_origins=["*"],
allow_methods=["GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"],
allow_headers=[
"Content-Type",
"Authorization",
"Mcp-Session-Id",
"Idempotency-Key",
],
expose_headers=["Mcp-Session-Id"],
),
],
lifespan=mcp_app.lifespan,
)