Sebastián Ramírez <******@****.***> 1714689451 -0700

Aditya Manthramurthy <******@****.***> 1713453302 -0700

renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> 1713814472 +0100

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

### Utilisation du nom *path operation function* comme operationId

Si vous souhaitez utiliser les noms de fonction de vos API comme `operationId`, vous pouvez les parcourir tous et remplacer chaque `operation_id` de l'*opération de chemin* en utilisant leur `APIRoute.name`.

          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - uses: actions/cache@v4
        id: cache
        with:
          path: ${{ env.pythonLocation }}
          key: ${{ runner.os }}-python-${{ env.pythonLocation }}-pydantic-v2-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v08
      - name: Install Dependencies

Then create a file `traefik.toml` with:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

This tells Traefik to listen on port 9999 and to use another file `routes.toml`.

!!! tip

然后创建包含如下内容的 `traefik.toml` 文件：

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

这个文件把 Traefik 监听端口设置为 `9999`，并设置要使用另一个文件 `routes.toml`。

!!! tip "提示"

    使用端口 9999 代替标准的 HTTP 端口 80，这样就不必使用管理员权限运行（`sudo`）。

接下来，创建 `routes.toml`：

```TOML hl_lines="5  12  20"
[http]

⤴️ ✍ 📁 `traefik.toml` ⏮️:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

👉 💬 Traefik 👂 🔛 ⛴ 9️⃣9️⃣9️⃣9️⃣ & ⚙️ ➕1️⃣ 📁 `routes.toml`.

!!! tip
    👥 ⚙️ ⛴ 9️⃣9️⃣9️⃣9️⃣ ↩️ 🐩 🇺🇸🔍 ⛴ 8️⃣0️⃣ 👈 👆 🚫 ✔️ 🏃 ⚫️ ⏮️ 📡 (`sudo`) 😌.

!!! tip "Astuce"
    Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning.

### Déclarer un paramètre de chemin

        with:
          python-version: "3.10"
          # Issue ref: https://github.com/actions/setup-python/issues/436
          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - name: Install build dependencies
        run: pip install build
      - name: Build distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build