with runner.isolated_filesystem():
        yield runner


@pytest.fixture(name="root_dir")
def prepare_paths(runner):
    docs_dir = Path("docs")
    en_docs_dir = docs_dir / "en" / "docs"
    lang_docs_dir = docs_dir / "lang" / "docs"
    en_docs_dir.mkdir(parents=True, exist_ok=True)
    lang_docs_dir.mkdir(parents=True, exist_ok=True)
    yield Path.cwd()


@pytest.fixture

@app.post("/chat/stream", response_class=EventSourceResponse)
async def stream_chat(prompt: Prompt) -> AsyncIterable[ServerSentEvent]:
    words = prompt.text.split()
    for word in words:
        yield ServerSentEvent(data=word, event="token")

from sqlmodel import Field, Session, SQLModel, create_engine

engine = create_engine("postgresql+psycopg://postgres:postgres@localhost/db")


class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():
    with Session(engine) as session:
        yield session

]


@app.get("/items/stream", response_class=EventSourceResponse)
async def stream_items() -> AsyncIterable[ServerSentEvent]:
    yield ServerSentEvent(comment="stream of item updates")
    for i, item in enumerate(items):

class Item(BaseModel):
    name: str


app = FastAPI()


@app.get("/items/stream-bare-async")
async def stream_bare_async() -> AsyncIterable:
    yield {"name": "foo"}


@app.get("/items/stream-bare-sync")
def stream_bare_sync() -> Iterable:
    yield {"name": "bar"}


client = TestClient(app)


def test_stream_bare_async_iterable():
    response = client.get("/items/stream-bare-async")

///

## FastAPI로 SSE 스트리밍 { #stream-sse-with-fastapi }

FastAPI에서 SSE를 스트리밍하려면, 경로 처리 함수에서 `yield`를 사용하고 `response_class=EventSourceResponse`를 설정하세요.

`EventSourceResponse`는 `fastapi.sse`에서 임포트합니다:

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

각 `yield`된 항목은 JSON으로 인코딩되어 SSE 이벤트의 `data:` 필드로 전송됩니다.

///

## 使用 FastAPI 流式传输 SSE { #stream-sse-with-fastapi }

要在 FastAPI 中流式传输 SSE，在你的*路径操作函数*中使用 `yield`，并设置 `response_class=EventSourceResponse`。

从 `fastapi.sse` 导入 `EventSourceResponse`：

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

每个被 yield 的项会被编码为 JSON，并放入 SSE 事件的 `data:` 字段发送。

如果你将返回类型声明为 `AsyncIterable[Item]`，FastAPI 将使用它通过 Pydantic对数据进行**校验**、**文档化**和**序列化**。

///

## 使用 FastAPI 串流 SSE { #stream-sse-with-fastapi }

要在 FastAPI 中串流 SSE，請在你的路徑操作函式（path operation function）中使用 `yield`，並設定 `response_class=EventSourceResponse`。

從 `fastapi.sse` 匯入 `EventSourceResponse`：

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

每個 `yield` 的項目都會以 JSON 編碼並放在 SSE 事件的 `data:` 欄位中送出。

如果你把回傳型別宣告為 `AsyncIterable[Item]`，FastAPI 會用它來透過 Pydantic 進行**驗證**、**文件化**與**序列化**。

## Stream SSE with FastAPI { #stream-sse-with-fastapi }

To stream SSE with FastAPI, use `yield` in your *path operation function* and set `response_class=EventSourceResponse`.

Import `EventSourceResponse` from `fastapi.sse`:

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[4,22] *}

Each yielded item is encoded as JSON and sent in the `data:` field of an SSE event.

from fastapi import Depends, FastAPI

app = FastAPI()


def get_username():
    try:
        yield "Rick"
    finally:
        print("Cleanup up before response is sent")


@app.get("/users/me")
def get_user_me(username: str = Depends(get_username, scope="function")):