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  1. docs/en/docs/tutorial/bigger-applications.md

        ```
        from app.routers import items
        ```
    
    * The `app` directory contains everything. And it has an empty file `app/__init__.py`, so it is a "Python package" (a collection of "Python modules"): `app`.
    * It contains an `app/main.py` file. As it is inside a Python package (a directory with a file `__init__.py`), it is a "module" of that package: `app.main`.
    Plain Text
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  2. docs/en/docs/deployment/https.md

    After this, the client and the server have an **encrypted TCP connection**, this is what TLS provides. And then they can use that connection to start the actual **HTTP communication**.
    
    And that's what **HTTPS** is, it's just plain **HTTP** inside a **secure TLS connection** instead of a pure (unencrypted) TCP connection.
    
    !!! tip
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  3. .github/actions/people/app/main.py

    import logging
    import subprocess
    import sys
    from collections import Counter, defaultdict
    from datetime import datetime, timedelta, timezone
    from pathlib import Path
    from typing import Any, Container, DefaultDict, Dict, List, Set, Union
    
    import httpx
    import yaml
    from github import Github
    from pydantic import BaseModel, SecretStr
    from pydantic_settings import BaseSettings
    
    github_graphql_url = "https://api.github.com/graphql"
    Python
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  4. docs/en/docs/deployment/concepts.md

    And it will work and will be useful **during development**.
    
    But if your connection to the server is lost, the **running process** will probably die.
    
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  5. docs/en/docs/how-to/sql-databases-peewee.md

    ```Python hl_lines="18-20"
    {!../../../docs_src/sql_databases_peewee/sql_app/main.py!}
    ```
    
    For the **next request**, as we will reset that context variable again in the `async` dependency `reset_db_state()` and then create a new connection in the `get_db()` dependency, that new request will have its own database state (connection, transactions, etc).
    
    !!! tip
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  6. docs/en/docs/async.md

    This is the case for most of the web applications.
    
    Many, many users, but your server is waiting 🕙 for their not-so-good connection to send their requests.
    
    And then waiting 🕙 again for the responses to come back.
    
    This "waiting" 🕙 is measured in microseconds, but still, summing it all, it's a lot of waiting in the end.
    
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  7. fastapi/dependencies/utils.py

                required_params=dependant.body_params, received_body=body
            )
            values.update(body_values)
            errors.extend(body_errors)
        if dependant.http_connection_param_name:
            values[dependant.http_connection_param_name] = request
        if dependant.request_param_name and isinstance(request, Request):
            values[dependant.request_param_name] = request
    Python
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  8. docs/en/docs/tutorial/dependencies/dependencies-with-yield.md

    !!! tip
    
        Additionally, a background task is normally an independent set of logic that should be handled separately, with its own resources (e.g. its own database connection).
    
        So, this way you will probably have cleaner code.
    
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  9. docs/en/docs/tutorial/sql-databases.md

        This is to prevent accidentally sharing the same connection for different things (for different requests).
    
        But in FastAPI, using normal functions (`def`) more than one thread could interact with the database for the same request, so we need to make SQLite know that it should allow that with `connect_args={"check_same_thread": False}`.
    
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  10. fastapi/encoders.py

    import dataclasses
    import datetime
    from collections import defaultdict, deque
    from decimal import Decimal
    from enum import Enum
    from ipaddress import (
        IPv4Address,
        IPv4Interface,
        IPv4Network,
        IPv6Address,
        IPv6Interface,
        IPv6Network,
    )
    from pathlib import Path, PurePath
    from re import Pattern
    from types import GeneratorType
    from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
    Python
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