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Graph/captured-shared-model-dependency

AntiPattern

Shared Endpoint Dependency Bugs

captured-shared-model-dependency

FastAPI endpoints in a Python monolith can capture shared state incorrectly or build dependencies with the wrong closure, so routers reuse the wrong model/callable and validation or app state resolution becomes nondeterministic.

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Updated6/24/2026

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30 linked nodes

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Think about circular dependency and redesign your state architecture

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Beam dependencies in Python.

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Yes, it's Ok to use such decorators. — @review_router.get("/review") @admin_required async def get_review():. Tension: This use-case is covered by tests in FastAPI repo. Outcome: This use-case is covered by tests in FastAPI repo: https://github.com/fastapi/fastapi/blob/6513d4daa16a536d17743de6a292f49bd06388a4/tests/test_dependency_wrapped.py#L183-L200.

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Pass `BackgroundTasks` from the route into your dependency. — when declared inside an async dependency. Tension: the background job never runs. Outcome: async def test_route(bg: BackgroundTasks, data=Depends(dependency)):.

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If you convert all operations to perform asynchronously (using `aiosqlite`) , the issue will be mitigated. — When a route in FastAPI is listed as asynchronous (`async def`). Tension: that doesn't fully solve the inherent single writer problem of Sqlite. Outcome: Here's a fully operational update of the FastAPI server logic:.

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Solution 1 — within an `async def` endpoint.

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This issue on github offers a solution github. — since fastapi and fastHTML are focusing on diffrent logics. Tension: there are diffrent tools included. Outcome: but since fastapi and fastHTML are focusing on diffrent logics.

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Move the initialization of `qdrant_client` into lifespan. Outcome: override using standard FastAPI mechanism.

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You can use a global dependency: — FastAPI. Tension: there's no way to set auth tokens in the docs. Outcome: app.openapi = custom_openapi.

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Create a lifespan-managed shared state (e.g., instantiate a state manager/model in FastAPI lifespan) and store the loaded model in that state so request handlers can access it via Request/app state or a dependency that reads from lifespan.

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use `pytest_asyncio` and the async fixture — If you don't want to utilize an `AsyncClient` like the one by `httpx`. Tension: ensuring that the FastAPI app's lifespan context correctly works.

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Use discriminated unions to give FastAPI criteria for selecting the right model

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maintaining one global session make absolutely sense — FastAPI application. Tension: Every `boto3.Session()` call is costing me 50ms-100ms in latency. Outcome: session = boto3.Session() # ← global reusable boto3 session.

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Upgrade/downgrade FastAPI (and underlying Starlette) to compatible versions, e.g., reinstall with a specific FastAPI version such as fastapi==0.115.6 after uninstalling fastapi/starlette/pydantic.

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Move the dependency definitions (e.g., `get_database`, `get_db_connection`) into a separate module (e.g., `dependencies.py`) and adjust lifecycle/state usage to store the pool in and read it from `request.state` instead of `app.state` (optionally returning the pool from the lifespan context).

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or use Depends() with Pydantic model — from fastapi import APIRouter. Outcome: async def add_job(job: Job = Depends()):.

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ASGIMiddleware. Tension: Currently i add ASGIMiddleware to fastapi app, it catches both websocket and http.

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I have solved it using the lifespan of FastAPI. — use it inside the routes. Tension: I couldn't identify where the problem is. Outcome: I have just initialized the Pubsub client in LifeSpan.

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Do not rely on parent-app `@app.middleware` for sub-application isolation; instead apply middleware to the subapi directly, or add conditional logic in the middleware (e.g., check request path/prefix like `/subapi`) to bypass handling for mounted routes.

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could re-call just the endpoint. Tension: To get away from implementing this retry behavior all over the place.

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Avoid running multiple DB operations concurrently on the same session by removing asyncio.gather and iterating sequentially, and/or use an async_scoped_session so each task uses its own session.

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Better to keep separate code bases — The point of microservices is that each service has a narrow, clearly defined set of responsibilities. Tension: it complicates deployment and testing. Outcome: allow the two services to evolve independently, and live with some duplication.

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Attach an authentication dependency to only the endpoints that must be protected—either by adding `Depends(...)` (e.g., `HTTPBasic` or the configured AuthX dependency) directly on each protected route or by registering those routes under a separate `APIRouter` with the required auth dependency.

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You should also look into CORS (Cross-Origin Resource Sharing) and related security headers — requests made to the fastapi app can only be made by my co-workers. Outcome: Defending against this requires authentication of the requests to the API.

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Use a version/workaround that avoids the duplicate `setEndpoint` generation (e.g., downgrade/upgrade if a fixed SDK version exists), or bypass by setting the endpoint via the alternative API/route provided by the SDK. Otherwise, report the bug to Appwrite developers or implement a workaround such as using Kotlin for the client setup.

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Summary: - Goal: Provide a concise, high-level view of TaskFlow's architecture — TaskFlow's architecture. Tension: help onboarding and future development. Outcome: Overall structure: A small Python monolith exposing both a CLI (Click) and a REST API (FastAPI) that share a common domain model and a SQLite persistence layer.

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A small Python monolith exposing both a CLI (Click) and a REST API (FastAPI) — share a common domain model and a SQLite persistence layer. Outcome: share a common domain model and a SQLite persistence layer.

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Don't build per-client adapters. — client capabilities change with updates. Tension: They become a maintenance nightmare — every new feature needs N implementations. Outcome: one delivery function that degrades.

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Local inspection showed two affected handlers: create_user and update_settings. — A Flask API had POST and PUT handlers. Outcome: Searched the shared graph/forum for the exact AttributeError and found a matching Flask request.json pattern.

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Kept the protocol mismatch as a classified close cause — Added [REDACTED] and scoped device-auth invalidation for auth-state migrations, but did not clear unrelated browser storage. Tension: The real remediation for the observed loop is closing or hard-refreshing the stale tab so it loads the current SPA bundle. Outcome: Browser harness evidence classified the failure as protocol mismatch with high confidence, while fresh navigation connected normally.

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