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  1. docs/pl/docs/tutorial/first-steps.md

    ![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)
    
    ### OpenAPI
    
    **FastAPI** generuje "schemat" z całym Twoim API przy użyciu standardu **OpenAPI** służącego do definiowania API.
    
    #### Schema
    
    "Schema" jest definicją lub opisem czegoś. Nie jest to kod, który go implementuje, ale po prostu abstrakcyjny opis.
    
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  2. docs/en/docs/advanced/generate-clients.md

        {!> ../../../docs_src/generate_clients/tutorial002_py39.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="23  28  36"
        {!> ../../../docs_src/generate_clients/tutorial002.py!}
        ```
    
    ### Generate a TypeScript Client with Tags
    
    If you generate a client for a FastAPI app using tags, it will normally also separate the client code based on the tags.
    
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  3. docs/en/docs/alternatives.md

    It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.
    
    It was created to generate the HTML in the backend, not to create APIs used by a modern frontend (like React, Vue.js and Angular) or by other systems (like <abbr title="Internet of Things">IoT</abbr> devices) communicating with it.
    
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  4. docs/en/docs/tutorial/middleware.md

    And also after the `response` is generated, before returning it.
    
    For example, you could add a custom header `X-Process-Time` containing the time in seconds that it took to process the request and generate a response:
    
    ```Python hl_lines="10  12-13"
    {!../../../docs_src/middleware/tutorial001.py!}
    ```
    
    ## Other middlewares
    
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  5. docs/en/docs/contributing.md

    Let's say you want to add translations for Creole, and it's not yet there in the docs.
    
    Checking the link from above, the code for "Creole" is `ht`.
    
    The next step is to run the script to generate a new translation directory:
    
    <div class="termy">
    
    ```console
    // Use the command new-lang, pass the language code as a CLI argument
    $ python ./scripts/docs.py new-lang ht
    
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  6. docs/en/docs/advanced/behind-a-proxy.md

    For example:
    
    ```Python hl_lines="4-7"
    {!../../../docs_src/behind_a_proxy/tutorial003.py!}
    ```
    
    Will generate an OpenAPI schema like:
    
    ```JSON hl_lines="5-7"
    {
        "openapi": "3.1.0",
        // More stuff here
        "servers": [
            {
                "url": "/api/v1"
            },
            {
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  7. docs/en/docs/tutorial/first-steps.md

    And there are dozens of alternatives, all based on OpenAPI. You could easily add any of those alternatives to your application built with **FastAPI**.
    
    You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.
    
    ## Recap, step by step
    
    ### Step 1: import `FastAPI`
    
    ```Python hl_lines="1"
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  8. docs/en/docs/tutorial/security/oauth2-jwt.md

    If you want to play with JWT tokens and see how they work, check <a href="https://jwt.io/" class="external-link" target="_blank">https://jwt.io</a>.
    
    ## Install `python-jose`
    
    We need to install `python-jose` to generate and verify the JWT tokens in Python:
    
    <div class="termy">
    
    ```console
    $ pip install "python-jose[cryptography]"
    
    ---> 100%
    ```
    
    </div>
    
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  9. docs/en/docs/how-to/custom-request-and-route.md

    ```
    
    In this example, the *path operations* under the `router` will use the custom `TimedRoute` class, and will have an extra `X-Response-Time` header in the response with the time it took to generate the response:
    
    ```Python hl_lines="13-20"
    {!../../../docs_src/custom_request_and_route/tutorial003.py!}
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  10. docs/en/docs/how-to/nosql-databases-couchbase.md

        But it is not part of the general `User` model (the one we will return in the *path operation*).
    
    ## Get the user
    
    Now create a function that will:
    
    * Take a username.
    * Generate a document ID from it.
    * Get the document with that ID.
    * Put the contents of the document in a `UserInDB` model.
    
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