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docs/en/docs/alternatives.md
The class `FastAPI` itself inherits directly from the class `Starlette`. So, anything that you can do with Starlette, you can do it directly with **FastAPI**, as it is basically Starlette on steroids. ### <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a> Uvicorn is a lightning-fast ASGI server, built on uvloop and httptools.
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.github/workflows/test.yml
name: Test on: push: branches: - master pull_request: types: - opened - synchronize schedule: # cron every week on monday - cron: "0 0 * * 1" jobs: lint: runs-on: ubuntu-latest steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4
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docs/fr/docs/tutorial/query-params-str-validations.md
## Rendre ce paramètre requis Quand on ne déclare ni validation, ni métadonnée, on peut rendre le paramètre `q` requis en ne lui déclarant juste aucune valeur par défaut : ```Python q: str ``` à la place de : ```Python q: Union[str, None] = None ``` Mais maintenant, on déclare `q` avec `Query`, comme ceci : ```Python
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docs/en/docs/advanced/behind-a-proxy.md
```mermaid graph LR browser("Browser") proxy["Proxy on http://0.0.0.0:9999/api/v1/app"] server["Server on http://127.0.0.1:8000/app"] browser --> proxy proxy --> server ``` !!! tip The IP `0.0.0.0` is commonly used to mean that the program listens on all the IPs available in that machine/server.
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docs/en/docs/how-to/graphql.md
# GraphQL As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI. You can combine normal FastAPI *path operations* with GraphQL on the same application. !!! tip **GraphQL** solves some very specific use cases. It has **advantages** and **disadvantages** when compared to common **web APIs**.
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docs/en/docs/deployment/manually.md
## Deployment Concepts These examples run the server program (e.g Uvicorn), starting **a single process**, listening on all the IPs (`0.0.0.0`) on a predefined port (e.g. `80`). This is the basic idea. But you will probably want to take care of some additional things, like: * Security - HTTPS * Running on startup * Restarts * Replication (the number of processes running) * Memory * Previous steps before starting
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docs/en/docs/advanced/generate-clients.md
## Client and SDK Generators - Sponsor There are also some **company-backed** Client and SDK generators based on OpenAPI (FastAPI), in some cases they can offer you **additional features** on top of high-quality generated SDKs/clients.
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.github/workflows/publish.yml
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docs/en/docs/benchmarks.md
* If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks). * **FastAPI**: * The same way that Starlette uses Uvicorn and cannot be faster than it, **FastAPI** uses Starlette, so it cannot be faster than it.
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.github/workflows/latest-changes.yml
name: Latest Changes on: pull_request_target: branches: - master types: - closed workflow_dispatch: inputs: number: description: PR number required: true debug_enabled: description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)' required: false default: 'false' jobs: latest-changes:
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