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串流資料

🌐 AI 與人類共同完成的翻譯

此翻譯由人類指導的 AI 完成。🤝

可能會有對原意的誤解，或讀起來不自然等問題。🤖

你可以透過協助我們更好地引導 AI LLM來改進此翻譯。

英文版

如果你要串流可用 JSON 結構化的資料，應該串流 JSON Lines。

但如果你想串流純二進位資料或字串，以下是做法。

Info

已在 FastAPI 0.134.0 新增。

使用情境

當你想串流純字串時可以用這個機制，例如直接轉發來自 AI LLM 服務的輸出。

你也可以用它來串流大型二進位檔案，邊讀邊將每個區塊（chunk）串流出去，而不必一次把整個檔案載入記憶體。

你也可以用同樣方式串流視訊或音訊，甚至可以在處理的同時即時產生並傳送。

使用 yield 的 StreamingResponse

如果在你的路徑操作函式中宣告 response_class=StreamingResponse，就可以用 yield 逐一送出每個資料區塊。

from collections.abc import AsyncIterable, Iterable

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

app = FastAPI()


message = """
Rick: (stumbles in drunkenly, and turns on the lights) Morty! You gotta come on. You got--... you gotta come with me.
Morty: (rubs his eyes) What, Rick? What's going on?
Rick: I got a surprise for you, Morty.
Morty: It's the middle of the night. What are you talking about?
Rick: (spills alcohol on Morty's bed) Come on, I got a surprise for you. (drags Morty by the ankle) Come on, hurry up. (pulls Morty out of his bed and into the hall)
Morty: Ow! Ow! You're tugging me too hard!
Rick: We gotta go, gotta get outta here, come on. Got a surprise for you Morty.
"""


@app.get("/story/stream", response_class=StreamingResponse)
async def stream_story() -> AsyncIterable[str]:
    for line in message.splitlines():
        yield line

# Code below omitted 👇
👀 Full file preview 
from collections.abc import AsyncIterable, Iterable

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

app = FastAPI()


message = """
Rick: (stumbles in drunkenly, and turns on the lights) Morty! You gotta come on. You got--... you gotta come with me.
Morty: (rubs his eyes) What, Rick? What's going on?
Rick: I got a surprise for you, Morty.
Morty: It's the middle of the night. What are you talking about?
Rick: (spills alcohol on Morty's bed) Come on, I got a surprise for you. (drags Morty by the ankle) Come on, hurry up. (pulls Morty out of his bed and into the hall)
Morty: Ow! Ow! You're tugging me too hard!
Rick: We gotta go, gotta get outta here, come on. Got a surprise for you Morty.
"""


@app.get("/story/stream", response_class=StreamingResponse)
async def stream_story() -> AsyncIterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async", response_class=StreamingResponse)
def stream_story_no_async() -> Iterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-annotation", response_class=StreamingResponse)
async def stream_story_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async-no-annotation", response_class=StreamingResponse)
def stream_story_no_async_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-bytes", response_class=StreamingResponse)
async def stream_story_bytes() -> AsyncIterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-bytes", response_class=StreamingResponse)
def stream_story_no_async_bytes() -> Iterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-annotation-bytes", response_class=StreamingResponse)
async def stream_story_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-no-annotation-bytes", response_class=StreamingResponse)
def stream_story_no_async_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")

FastAPI 會如實將每個資料區塊交給 StreamingResponse，不會嘗試將其轉換為 JSON 或其他格式。

非 async 路徑操作函式

你也可以使用一般的 def 函式（沒有 async），並以相同方式使用 yield。

# Code above omitted 👆

@app.get("/story/stream-no-async", response_class=StreamingResponse)
def stream_story_no_async() -> Iterable[str]:
    for line in message.splitlines():
        yield line

# Code below omitted 👇
👀 Full file preview 
from collections.abc import AsyncIterable, Iterable

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

app = FastAPI()


message = """
Rick: (stumbles in drunkenly, and turns on the lights) Morty! You gotta come on. You got--... you gotta come with me.
Morty: (rubs his eyes) What, Rick? What's going on?
Rick: I got a surprise for you, Morty.
Morty: It's the middle of the night. What are you talking about?
Rick: (spills alcohol on Morty's bed) Come on, I got a surprise for you. (drags Morty by the ankle) Come on, hurry up. (pulls Morty out of his bed and into the hall)
Morty: Ow! Ow! You're tugging me too hard!
Rick: We gotta go, gotta get outta here, come on. Got a surprise for you Morty.
"""


@app.get("/story/stream", response_class=StreamingResponse)
async def stream_story() -> AsyncIterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async", response_class=StreamingResponse)
def stream_story_no_async() -> Iterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-annotation", response_class=StreamingResponse)
async def stream_story_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async-no-annotation", response_class=StreamingResponse)
def stream_story_no_async_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-bytes", response_class=StreamingResponse)
async def stream_story_bytes() -> AsyncIterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-bytes", response_class=StreamingResponse)
def stream_story_no_async_bytes() -> Iterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-annotation-bytes", response_class=StreamingResponse)
async def stream_story_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-no-annotation-bytes", response_class=StreamingResponse)
def stream_story_no_async_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")

不需要型別註解

對於串流二進位資料，其實不需要宣告回傳型別註解。

由於 FastAPI 不會試圖用 Pydantic 將資料轉成 JSON，或以其他方式序列化，在這種情況下，型別註解僅供編輯器與工具使用，FastAPI 並不會用到它。

# Code above omitted 👆

@app.get("/story/stream-no-annotation", response_class=StreamingResponse)
async def stream_story_no_annotation():
    for line in message.splitlines():
        yield line

# Code below omitted 👇
👀 Full file preview 
from collections.abc import AsyncIterable, Iterable

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

app = FastAPI()


message = """
Rick: (stumbles in drunkenly, and turns on the lights) Morty! You gotta come on. You got--... you gotta come with me.
Morty: (rubs his eyes) What, Rick? What's going on?
Rick: I got a surprise for you, Morty.
Morty: It's the middle of the night. What are you talking about?
Rick: (spills alcohol on Morty's bed) Come on, I got a surprise for you. (drags Morty by the ankle) Come on, hurry up. (pulls Morty out of his bed and into the hall)
Morty: Ow! Ow! You're tugging me too hard!
Rick: We gotta go, gotta get outta here, come on. Got a surprise for you Morty.
"""


@app.get("/story/stream", response_class=StreamingResponse)
async def stream_story() -> AsyncIterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async", response_class=StreamingResponse)
def stream_story_no_async() -> Iterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-annotation", response_class=StreamingResponse)
async def stream_story_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async-no-annotation", response_class=StreamingResponse)
def stream_story_no_async_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-bytes", response_class=StreamingResponse)
async def stream_story_bytes() -> AsyncIterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-bytes", response_class=StreamingResponse)
def stream_story_no_async_bytes() -> Iterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-annotation-bytes", response_class=StreamingResponse)
async def stream_story_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-no-annotation-bytes", response_class=StreamingResponse)
def stream_story_no_async_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")

這也意味著使用 StreamingResponse 時，你擁有自由與責任，需依需求自行產生並編碼要傳送的位元組資料，與型別註解無關。 🤓

串流位元組

一個主要用例是串流 bytes 而非字串，當然可以這麼做。

# Code above omitted 👆

@app.get("/story/stream-bytes", response_class=StreamingResponse)
async def stream_story_bytes() -> AsyncIterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")

# Code below omitted 👇
👀 Full file preview 
from collections.abc import AsyncIterable, Iterable

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

app = FastAPI()


message = """
Rick: (stumbles in drunkenly, and turns on the lights) Morty! You gotta come on. You got--... you gotta come with me.
Morty: (rubs his eyes) What, Rick? What's going on?
Rick: I got a surprise for you, Morty.
Morty: It's the middle of the night. What are you talking about?
Rick: (spills alcohol on Morty's bed) Come on, I got a surprise for you. (drags Morty by the ankle) Come on, hurry up. (pulls Morty out of his bed and into the hall)
Morty: Ow! Ow! You're tugging me too hard!
Rick: We gotta go, gotta get outta here, come on. Got a surprise for you Morty.
"""


@app.get("/story/stream", response_class=StreamingResponse)
async def stream_story() -> AsyncIterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async", response_class=StreamingResponse)
def stream_story_no_async() -> Iterable[str]:
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-annotation", response_class=StreamingResponse)
async def stream_story_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-no-async-no-annotation", response_class=StreamingResponse)
def stream_story_no_async_no_annotation():
    for line in message.splitlines():
        yield line


@app.get("/story/stream-bytes", response_class=StreamingResponse)
async def stream_story_bytes() -> AsyncIterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-bytes", response_class=StreamingResponse)
def stream_story_no_async_bytes() -> Iterable[bytes]:
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-annotation-bytes", response_class=StreamingResponse)
async def stream_story_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")


@app.get("/story/stream-no-async-no-annotation-bytes", response_class=StreamingResponse)
def stream_story_no_async_no_annotation_bytes():
    for line in message.splitlines():
        yield line.encode("utf-8")

自訂 PNGStreamingResponse

在上述範例中，雖然串流了資料位元組，但回應沒有 Content-Type 標頭，因此用戶端不知道接收到的是哪種資料型別。

你可以建立 StreamingResponse 的自訂子類別，將 Content-Type 標頭設定為你要串流的資料型別。

例如，你可以建立 PNGStreamingResponse，透過 media_type 屬性把 Content-Type 設為 image/png：

# Code above omitted 👆

from fastapi.responses import StreamingResponse

# Code here omitted 👈

class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"

# Code below omitted 👇
👀 Full file preview 
import base64
from collections.abc import AsyncIterable, Iterable
from io import BytesIO

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

image_base64 = "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"
binary_image = base64.b64decode(image_base64)


def read_image() -> BytesIO:
    return BytesIO(binary_image)


app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"


@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async", response_class=PNGStreamingResponse)
def stream_image_no_async() -> Iterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-yield-from", response_class=PNGStreamingResponse)
def stream_image_no_async_yield_from() -> Iterable[bytes]:
    with read_image() as image_file:
        yield from image_file


@app.get("/image/stream-no-annotation", response_class=PNGStreamingResponse)
async def stream_image_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-no-annotation", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk

接著在路徑操作函式中用 response_class=PNGStreamingResponse 使用這個新類別：

# Code above omitted 👆

@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk

# Code below omitted 👇
👀 Full file preview 
import base64
from collections.abc import AsyncIterable, Iterable
from io import BytesIO

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

image_base64 = "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"
binary_image = base64.b64decode(image_base64)


def read_image() -> BytesIO:
    return BytesIO(binary_image)


app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"


@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async", response_class=PNGStreamingResponse)
def stream_image_no_async() -> Iterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-yield-from", response_class=PNGStreamingResponse)
def stream_image_no_async_yield_from() -> Iterable[bytes]:
    with read_image() as image_file:
        yield from image_file


@app.get("/image/stream-no-annotation", response_class=PNGStreamingResponse)
async def stream_image_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-no-annotation", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk

模擬檔案

此範例中我們用 io.BytesIO 模擬檔案。它是只存在於記憶體中的類檔案物件，但提供相同的介面。

例如，我們可以像讀取一般檔案一樣，透過迭代來消耗其內容。

import base64
from collections.abc import AsyncIterable, Iterable
from io import BytesIO

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

image_base64 = "iVBORw0KGgoAAAANSUhEUgAAAB0AAAAdCAYAAABWk2cPAAAAbnpUWHRSYXcgcHJvZmlsZSB0eXBlIGV4aWYAAHjadYzRDYAwCET/mcIRDoq0jGOiJm7g+NJK0vjhS4DjIEfHfZ20DKqSrrWZmyFQV5ctRMOLACxglNCcXk7zVqFzJzF8kV6R5vOJ97yVH78HjfYAtg0ged033ZgAAAoCaVRYdFhNTDpjb20uYWRvYmUueG1wAAAAAAA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI/Pgo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJYTVAgQ29yZSA0LjQuMC1FeGl2MiI+CiA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogIDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiCiAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyIKICAgIHhtbG5zOnRpZmY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vdGlmZi8xLjAvIgogICBleGlmOlBpeGVsWERpbWVuc2lvbj0iMjkiCiAgIGV4aWY6UGl4ZWxZRGltZW5zaW9uPSIyOSIKICAgdGlmZjpJbWFnZVdpZHRoPSIyOSIKICAgdGlmZjpJbWFnZUxlbmd0aD0iMjkiCiAgIHRpZmY6T3JpZW50YXRpb249IjEiLz4KIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAKPD94cGFja2V0IGVuZD0idyI/PnQkBZAAAAAEc0JJVAgICAh8CGSIAAABoklEQVRIx8VXwY7FIAjE5iXWU+P/f6RHPNW9LIaOoHYP+0yMShVkwNGG1lqjfy4HfaF0oyEEt+oSQqBaa//m9Wd6PlqhhbRMDiEQM3e59FNKw5qZHpnQfuPaW6lazsztvu/eElFj5j63lNLlMz2ttbZtVMu1MTGo5Sujn93gMzOllKiUQjHGB9QxxneZhJ5iwZ1rL2fwenoGeL0q3wVGhBPHMz0PeFccIfASEeWcO8xEROd50q6eAV6s1s5XXoncas1EKqVQznnwUBdJJmm1l3hmmdlOMrGO8Vl5gZ56Y0y8IZF0BuqkQWM4B6HXrRCKa1SEqyzEo7KK59RT/VHDjX3ZvSefeW3CO6O6vsiA1NrwVkxxAcYTCcHyTjZmJd00pugBQoTnzjvn+kzLBh9GtRDjhleZFwbx3kugP3GvFzdkqRlbDYw0u/HxKjuOw2QxZCGL5V5f4l7cd6qsffUa1DcLM9N1XcTMvep5ul1e4jNPtZfWGIkE6dI8MquXg/dS2CGVJQ2ushd5GmlxFdOw+1tRa32MY4zDQ9yaZ60J3/iX+QG4U3qGrFHmswAAAABJRU5ErkJggg=="
binary_image = base64.b64decode(image_base64)


def read_image() -> BytesIO:
    return BytesIO(binary_image)


app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"


@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk

# Code below omitted 👇
👀 Full file preview 
import base64
from collections.abc import AsyncIterable, Iterable
from io import BytesIO

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

image_base64 = "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"
binary_image = base64.b64decode(image_base64)


def read_image() -> BytesIO:
    return BytesIO(binary_image)


app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"


@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async", response_class=PNGStreamingResponse)
def stream_image_no_async() -> Iterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-yield-from", response_class=PNGStreamingResponse)
def stream_image_no_async_yield_from() -> Iterable[bytes]:
    with read_image() as image_file:
        yield from image_file


@app.get("/image/stream-no-annotation", response_class=PNGStreamingResponse)
async def stream_image_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-no-annotation", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk

技術細節

另外兩個變數 image_base64 與 binary_image，分別是先將影像以 Base64 編碼，接著轉成位元組，最後再傳給 io.BytesIO。

這只是為了讓範例能放在同一個檔案中，方便你直接複製並執行。 🥚

使用 with 區塊可確保在產生器函式（包含 yield 的函式）完成後關閉該類檔案物件，也就是在送完回應之後。

在這個範例中因為是存在記憶體的假檔案（io.BytesIO），影響不大；但若是實際檔案，務必在處理完成後關閉檔案。

檔案與 Async

多數情況下，類檔案物件預設不相容於 async/await。

例如，它們沒有 await file.read()，也不支援 async for chunk in file。

而且在許多情況下，讀取它們會是阻塞操作（可能阻塞事件迴圈），因為資料是從磁碟或網路讀取。

Info

上面的範例其實是例外，因為 io.BytesIO 物件已在記憶體中，讀取不會阻塞任何東西。

但在多數情況下，讀取檔案或類檔案物件會造成阻塞。

為了避免阻塞事件迴圈，你可以將路徑操作函式宣告為一般的 def（而非 async def），這樣 FastAPI 會在 threadpool worker 上執行它，避免阻塞主事件迴圈。

# Code above omitted 👆

@app.get("/image/stream-no-async", response_class=PNGStreamingResponse)
def stream_image_no_async() -> Iterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk

# Code below omitted 👇
👀 Full file preview 
import base64
from collections.abc import AsyncIterable, Iterable
from io import BytesIO

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

image_base64 = "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"
binary_image = base64.b64decode(image_base64)


def read_image() -> BytesIO:
    return BytesIO(binary_image)


app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"


@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async", response_class=PNGStreamingResponse)
def stream_image_no_async() -> Iterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-yield-from", response_class=PNGStreamingResponse)
def stream_image_no_async_yield_from() -> Iterable[bytes]:
    with read_image() as image_file:
        yield from image_file


@app.get("/image/stream-no-annotation", response_class=PNGStreamingResponse)
async def stream_image_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-no-annotation", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk

Tip

如果你需要在 async 函式內呼叫阻塞程式碼，或在阻塞函式中呼叫 async 函式，你可以使用 Asyncer，它是 FastAPI 的姊妹函式庫。

yield from

當你在迭代某個物件（如類檔案物件），並對每個項目使用 yield 時，也可以用 yield from 直接逐項產出，省略 for 迴圈。

這不是 FastAPI 特有的功能，而是 Python 語法；不過這招很實用。 😎

# Code above omitted 👆

@app.get("/image/stream-no-async-yield-from", response_class=PNGStreamingResponse)
def stream_image_no_async_yield_from() -> Iterable[bytes]:
    with read_image() as image_file:
        yield from image_file

# Code below omitted 👇
👀 Full file preview 
import base64
from collections.abc import AsyncIterable, Iterable
from io import BytesIO

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

image_base64 = "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"
binary_image = base64.b64decode(image_base64)


def read_image() -> BytesIO:
    return BytesIO(binary_image)


app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"


@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async", response_class=PNGStreamingResponse)
def stream_image_no_async() -> Iterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-yield-from", response_class=PNGStreamingResponse)
def stream_image_no_async_yield_from() -> Iterable[bytes]:
    with read_image() as image_file:
        yield from image_file


@app.get("/image/stream-no-annotation", response_class=PNGStreamingResponse)
async def stream_image_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async-no-annotation", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk