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