│                          │
 ╰──────────────────────────╯

<font color="#3465A4">INFO    </font> Using import string <font color="#8AE234"><b>main:app</b></font>

 <font color="#4E9A06">╭─────────── FastAPI CLI - Production mode ───────────╮</font>
 <font color="#4E9A06">│                                                     │</font>
 <font color="#4E9A06">│  Serving at: http://0.0.0.0:8000                    │</font>

    - 🤖 An automatically generated frontend client.
    - 🧪 [Playwright](https://playwright.dev) for End-to-End testing.
    - 🦇 Dark mode support.
- 🐋 [Docker Compose](https://www.docker.com) for development and production.
- 🔒 Secure password hashing by default.
- 🔑 JWT token authentication.
- 📫 Email based password recovery.
- ✅ Tests with [Pytest](https://pytest.org).

identifiers:
repository-code: 'https://github.com/fastapi/fastapi'
url: 'https://fastapi.tiangolo.com'
abstract: >-
  FastAPI framework, high performance, easy to learn, fast to code,
  ready for production
keywords:
  - fastapi
  - pydantic
  - starlette

   * @param offset the offset into the array at which to start
   * @return a long of a concatenated 8 bytes
   */
  static long load64(byte[] input, int offset) {
    // We don't want this in production code as this is the most critical part of the loop.
    assert input.length >= offset + 8;
    // Delegates to the fast (unsafe) version or the fallback.
    return byteArray.getLongLittleEndian(input, offset);
  }

the potential to leak sensitive information such as "Authorization" or "Cookie" headers and the
contents of request and response bodies. This data should only be logged in a controlled way or in
a non-production environment.

You can redact headers that may contain sensitive information by calling `redactHeader()`.
```java
logging.redactHeader("Authorization");
logging.redactHeader("Cookie");
```

Download
--------

Lets start the lamdba handler.

```
python lambda_handler.py
 * Serving Flask app 'webhook'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
```

## Start MinIO with Lambda target

import model.Stage

class CompileAll(model: CIBuildModel, stage: Stage) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
    id(buildTypeId(model))
    name = "Compile All"
    description = "Compiles all production/test source code and warms up the build cache"

    features {
        publishBuildStatusToGithub(model)
    }

    applyDefaults(
        model,
        this,

                    "https://prod.example.com/",
                    # TODO: remove when deprecating Pydantic v1
                    "https://prod.example.com",
                ),
                "description": "Production environment",
            },
        ],
        "paths": {
            "/app": {
                "get": {
                    "summary": "Read Main",
                    "operationId": "read_main_app_get",

from pydantic import BaseModel, EmailStr

app = FastAPI()


class UserIn(BaseModel):
    username: str
    password: str
    email: EmailStr
    full_name: str | None = None


# Don't do this in production!
@app.post("/user/")
async def create_user(user: UserIn) -> UserIn:

# À propos des versions de FastAPI

**FastAPI** est déjà utilisé en production dans de nombreuses applications et systèmes. Et la couverture de test est maintenue à 100 %. Mais son développement est toujours aussi rapide.

De nouvelles fonctionnalités sont ajoutées fréquemment, des bogues sont corrigés régulièrement et le code est
amélioré continuellement.

C'est pourquoi les versions actuelles sont toujours `0.x.x`, cela reflète que chaque version peut potentiellement