def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

В этой же директории создайте файл `Dockerfile` и заполните его:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

# (2)
WORKDIR /code

# (3)
COPY ./requirements.txt /code/requirements.txt

# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (5)

👈 🌌, 👆 🚫 ✔️ ✍ ⚫️ 🌐 🥇 💾, & 👆 💪 🚶‍♀️ 👈 🚂 🔢 `StreamingResponse`, & 📨 ⚫️.

👉 🔌 📚 🗃 🔗 ⏮️ ☁ 💾, 📹 🏭, & 🎏.

```{ .python .annotate hl_lines="2  10-12  14" }
{!../../docs_src/custom_response/tutorial008.py!}
```

1️⃣. 👉 🚂 🔢. ⚫️ "🚂 🔢" ↩️ ⚫️ 🔌 `yield` 📄 🔘.
2️⃣. ⚙️ `with` 🍫, 👥 ⚒ 💭 👈 📁-💖 🎚 📪 ⏮️ 🚂 🔢 🔨. , ⏮️ ⚫️ 🏁 📨 📨.

def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

Agora, no mesmo diretório do projeto, crie um arquivo `Dockerfile` com:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

# (2)
WORKDIR /code

# (3)
COPY ./requirements.txt /code/requirements.txt

# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (5)

    return {"item_id": item_id, "q": q}
```

### Dockerfile

Erstellen Sie nun im selben Projektverzeichnis eine Datei `Dockerfile` mit:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

# (2)
WORKDIR /code

# (3)
COPY ./requirements.txt /code/requirements.txt

# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (5)

Das umfasst viele Bibliotheken zur Interaktion mit Cloud-Speicher, Videoverarbeitung und anderen.

```{ .python .annotate hl_lines="2  10-12  14" }
{!../../docs_src/custom_response/tutorial008.py!}
```

1. Das ist die Generatorfunktion. Es handelt sich um eine „Generatorfunktion“, da sie `yield`-Anweisungen enthält.

Kubernetes 1.11 also makes it easier to see what's happening, as audit events can now be annotated with information about how an API request was handled:

* Create unit tests using [Spock](https://spockframework.org/spock/docs/2.0/index.html) for new classes or methods that you introduce.
* Create integration tests that exercise a Gradle build for the bug/feature. 
* Annotate tests that correspond to a bug on GitHub (`@Issue("https://github.com/gradle/gradle/issues/2622")`).

This includes many libraries to interact with cloud storage, video processing, and others.

```{ .python .annotate hl_lines="2  10-12  14" }
{!../../docs_src/custom_response/tutorial008.py!}
```

1. This is the generator function. It's a "generator function" because it contains `yield` statements inside.

### Getest

* 100% <abbr title="De hoeveelheid code die automatisch wordt getest">van de code is getest</abbr>.
* 100% <abbr title="Python type annotaties, hiermee kunnen je editor en externe tools je beter ondersteunen">type geannoteerde</abbr> codebase.
* Wordt gebruikt in productietoepassingen.

## Starlette functies

@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

现在在相同的project目录创建一个名为`Dockerfile`的文件:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

# (2)
WORKDIR /code

# (3)
COPY ./requirements.txt /code/requirements.txt

# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (5)