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docs/en/docs/advanced/sub-applications.md
"Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application. ### Top-level application First, create the main, top-level, **FastAPI** application, and its *path operations*: ```Python hl_lines="3 6-8" {!../../../docs_src/sub_applications/tutorial001.py!} ``` ### Sub-application
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docs/en/docs/deployment/https.md
And that's what **HTTPS** is, it's just plain **HTTP** inside a **secure TLS connection** instead of a pure (unencrypted) TCP connection. !!! tip Notice that the encryption of the communication happens at the **TCP level**, not at the HTTP level. ### HTTPS Request Now that the client and server (specifically the browser and the TLS Termination Proxy) have an **encrypted TCP connection**, they can start the **HTTP communication**.
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docs/en/docs/tutorial/security/get-current-user.md
## Other models You can now get the current user directly in the *path operation functions* and deal with the security mechanisms at the **Dependency Injection** level, using `Depends`. And you can use any model or data for the security requirements (in this case, a Pydantic model `User`). But you are not restricted to using some specific data model, class or type.
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.github/actions/people/app/main.py
"avatarUrl": author.avatarUrl, "url": author.url, } ) return users if __name__ == "__main__": logging.basicConfig(level=logging.INFO) settings = Settings() logging.info(f"Using config: {settings.model_dump_json()}") g = Github(settings.input_token.get_secret_value()) repo = g.get_repo(settings.github_repository)
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docs/de/docs/advanced/sub-applications.md
```Python hl_lines="11 14-16" {!../../../docs_src/sub_applications/tutorial001.py!} ``` ### Die Unteranwendung mounten Mounten Sie in Ihrer Top-Level-Anwendung `app` die Unteranwendung `subapi`. In diesem Fall wird sie im Pfad `/subapi` gemountet: ```Python hl_lines="11 19" {!../../../docs_src/sub_applications/tutorial001.py!} ```
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docs/en/docs/tutorial/bigger-applications.md
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fastapi/openapi/docs.py
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.github/actions/comment-docs-preview-in-pr/app/main.py
head_commit: PartialGithubEventHeadCommit class PartialGithubEvent(BaseModel): workflow_run: PartialGithubEventWorkflowRun if __name__ == "__main__": logging.basicConfig(level=logging.INFO) settings = Settings() logging.info(f"Using config: {settings.json()}") g = Github(settings.input_token.get_secret_value()) repo = g.get_repo(settings.github_repository) try:
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docs/en/docs/deployment/server-workers.md
Nevertheless, as of now, Uvicorn's capabilities for handling worker processes are more limited than Gunicorn's. So, if you want to have a process manager at this level (at the Python level), then it might be better to try with Gunicorn as the process manager. In any case, you would run it like this: <div class="termy"> ```console
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docs/en/docs/release-notes.md
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