jobs:
  test-redistribute:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4
      - name: Set up Python
        uses: actions/setup-python@v5
        with:

<div class="termy">

```console
$ python -m venv env
```

</div>

Isso criará o diretório `./env/` com os binários Python e então você será capaz de instalar pacotes nesse ambiente isolado.

### Ativar o ambiente

Ative o novo ambiente com:

=== "Linux, macOS"

    <div class="termy">

    ```console
    $ source ./env/bin/activate
    ```

    </div>

=== "Windows PowerShell"

#!/usr/bin/env bash

set -e

Nevertheless, you might have a very specific use case where you really need to disable the API docs for some environment (e.g. for production) or depending on configurations from environment variables.

## Conditional OpenAPI from settings and env vars

You can easily use the same Pydantic settings to configure your generated OpenAPI and the docs UIs.

For example:

```Python hl_lines="6  11"
{!../../../docs_src/conditional_openapi/tutorial001.py!}
```

!!! tip "Tipp"
    Damit das funktioniert, müssen Sie `pip install python-dotenv` ausführen.

### Die `.env`-Datei

Sie könnten eine `.env`-Datei haben, mit:

```bash
ADMIN_EMAIL="******@****.***"
APP_NAME="ChimichangApp"

from pydantic import BaseSettings


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str
    items_per_user: int = 50

    class Config:

permissions:
  statuses: write

jobs:
  smokeshow:
    if: ${{ github.event.workflow_run.conclusion == 'success' }}
    runs-on: ubuntu-latest

    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/setup-python@v5
        with:
          python-version: '3.9'

      - run: pip install smokeshow

from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str
    items_per_user: int = 50

<div class="termy">

```console
$ python -m venv env
```

</div>

Das erstellt ein Verzeichnis `./env/` mit den Python-Binärdateien und Sie können dann Packages in dieser lokalen Umgebung installieren.

### Umgebung aktivieren

Aktivieren Sie die neue Umgebung mit:

=== "Linux, macOS"

    <div class="termy">

    ```console
    $ source ./env/bin/activate
    ```

    </div>

!!! tip
    For this to work, you need to `pip install python-dotenv`.

### The `.env` file

You could have a `.env` file with:

```bash
ADMIN_EMAIL="******@****.***"
APP_NAME="ChimichangApp"
```

### Read settings from `.env`