id: error-handling-proposal
    attributes:
      label: Does this affect error handling?
      description: If so, how does this differ from previous error handling proposals?
      placeholder: |
       Yes or No

       If yes, 
        1.how does this differ from previous error handling proposals?

    validations:
      required: true

  - type: textarea
    id: generics-proposal
    attributes:

     * This field contains the actual script content that was run.
     */
    public String scriptData;

    /**
     * The result or output from the script execution.
     * This field contains any output or result data from the script.
     */
    public String scriptResult;

    /**
     * The timestamp when the job started execution.
     * This is a required field indicating when the job began.

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

from typing import Any


def get_body_model_name(openapi: dict[str, Any], path: str) -> str:
    body = openapi["paths"][path]["post"]["requestBody"]
    body_schema = body["content"]["application/x-www-form-urlencoded"]["schema"]

from fastapi import Depends, FastAPI

app = FastAPI()


def get_username():
    try:
        yield "Rick"
    finally:
        print("Cleanup up before response is sent")


@app.get("/users/me")
def get_user_me(username: str = Depends(get_username, scope="function")):

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Detalhes Técnicos

Você também pode usar `from starlette.requests import Request` e `from starlette.responses import JSONResponse`.

/// tip

You'll see what other "things", apart from functions, can be used as dependencies in the next chapter.

///

Whenever a new request arrives, **FastAPI** will take care of:

* Calling your dependency ("dependable") function with the correct parameters.
* Get the result from your function.
* Assign that result to the parameter in your *path operation function*.

```mermaid

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Nota Técnica

También podrías usar `from starlette.requests import Request` y `from starlette.responses import JSONResponse`.

  <span style="background-color:#009485"><font color="#D3D7CF"> FastAPI </font></span>  Starting production server 🚀

             Searching for package file structure from directories with
             <font color="#3465A4">__init__.py</font> files
             Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: str | None = Query(default=None, max_length=50)):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})