from fastapi import FastAPI, Path
from typing_extensions import Annotated

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=1)], q: str
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

# 部署

部署 **FastAPI** 應用程式相對容易。

## 部署是什麼意思

**部署**應用程式指的是執行一系列必要的步驟，使其能夠**讓使用者存取和使用**。

對於一個 **Web API**，部署通常涉及將其放置在**遠端伺服器**上，並使用性能優良且穩定的**伺服器程式**，確保使用者能夠高效、無中斷地存取應用程式，且不會遇到問題。

這與**開發**階段形成鮮明對比，在**開發**階段，你會不斷更改程式碼、破壞程式碼、修復程式碼，然後停止和重新啟動伺服器等。

## 部署策略

根據你的使用場景和使用工具，有多種方法可以實現此目的。

你可以使用一些工具自行**部署伺服器**，你也可以使用能為你完成部分工作的**雲端服務**，或其他可能的選項。

我將向你展示在部署 **FastAPI** 應用程式時你可能應該記住的一些主要概念（儘管其中大部分適用於任何其他類型的 Web 應用程式）。

# `UploadFile` class

You can define *path operation function* parameters to be of the type `UploadFile` to receive files from the request.

You can import it directly from `fastapi`:

```python
from fastapi import UploadFile
```

::: fastapi.UploadFile
    options:
        members:
            - file
            - filename
            - size
            - headers
            - content_type
            - read

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item = Body(embed=True)):
    results = {"item_id": item_id, "item": item}

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: list[str] = []


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

from fastapi import FastAPI, Path
from typing_extensions import Annotated

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get", gt=0, le=1000)],
    q: str,
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

---

## Cài đặt FastAPI

Bước đầu tiên là cài đặt FastAPI.

Với hướng dẫn này, bạn có thể muốn cài đặt nó với tất cả các phụ thuộc và tính năng tùy chọn:

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

from typing import Annotated

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    model_config = {"extra": "forbid"}

    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):

from typing import Union

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    model_config = {"extra": "forbid"}

    host: str
    save_data: bool
    if_modified_since: Union[str, None] = None
    traceparent: Union[str, None] = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):