from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


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

### Dockerfile

Now in the same project directory create a file `Dockerfile` with:

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

	#line 1 "not-int-const"
	void __cgo_f_1_3(void) { enum { __cgo_undefined__3 = (foo)*1 }; }
	#line 1 "not-num-const"
	void __cgo_f_1_4(void) { static const double __cgo_undefined__4 = (foo); }
	#line 1 "not-str-lit"
	void __cgo_f_1_5(void) { static const char __cgo_undefined__5[] = (foo); }

This program will not compile, but cgo can use the presence or absence
of an error message on a given line to deduce the information it

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
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

	FMOVD	8(R1), F2 // 220440fd
	FMOVQ	32(R5), F2 // a208c03d
	FMOVQ	65520(R10), F10 // 4afdff3d
	FMOVQ	64(RSP), F11    // eb13c03d

// medium offsets that either fit a single instruction or can use add+ldr/str
	MOVD -4095(R17), R3                        // 3bfe3fd1630340f9
	MOVD -391(R17), R3                         // 3b1e06d1630340f9
	MOVD -257(R17), R3                         // 3b0604d1630340f9

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
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)

   * CharMatcher.anyOf("ab").trimFrom("abacatbab")
   * }</pre>
   *
   * ... returns {@code "cat"}.
   *
   * <p>Note that:
   *
   * <pre>{@code
   * CharMatcher.inRange('\0', ' ').trimFrom(str)
   * }</pre>
   *
   * ... is equivalent to {@link String#trim()}.
   */
  public String trimFrom(CharSequence sequence) {
    int len = sequence.length();
    int first;
    int last;

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@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)

#### SQLAlchemy 风格和 Pydantic 风格

请注意，SQLAlchemy*模型*使用 `=`来定义属性，并将类型作为参数传递给`Column`，例如：

```Python
name = Column(String)
```

虽然 Pydantic*模型*使用`:` 声明类型，但新的类型注释语法/类型提示是：

```Python
name: str
```

请牢记这一点，这样您在使用`:`还是`=`时就不会感到困惑。

### 创建用于读取/返回的Pydantic*模型/模式*

现在创建当从 API 返回数据时、将在读取数据时使用的Pydantic*模型（schemas）。*

例如，在创建一个项目之前，我们不知道分配给它的 ID 是什么，但是在读取它时（从 API 返回时）我们已经知道它的 ID。

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


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

### Dockerfile

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

```{ .dockerfile .annotate }
# (1)

        .addHeader("Content-Type: text/plain")
        .body("STR;FFMJ2;Frankfurt;RTCM 2.1;1(1),3(19),16(59);0;GPS;GREF;DEU;50.12;8.68;0;1;GPSNet V2.10;none;N;N;560;Demo\nENDSOURCETABLE")
        .build(),
    )
    val response = getResponse(newRequest("/"))
    assertThat(response.code).isEqualTo(200)
    assertThat(response.message).isEqualTo("OK")
    assertContent(