fastapi PUT更新数据 / PATCH部分更新

文章目录

• 1. PUT 更新
• 2. 用 PATCH 进行部分更新

learn from https://fastapi.tiangolo.com/zh/tutorial/body-updates/

1. PUT 更新

• 注意，put 没有指定的值，会被重置为默认值

代码语言：javascript复制

from typing import List, Optional

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: Optional[str] = None
    description: Optional[str] = None
    price: Optional[float] = None
    tax: float = 10.5
    tags: List[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},
    "baz": {"name": "Baz", "description": None, "price": 50.2, "tax": 10.5, "tags": []},
}


@app.get("/items/{item_id}", response_model=Item)
async def read_item(item_id: str):
    return items[item_id]


@app.put("/items/{item_id}")
async def update_item(item_id: str, item: Item):
    update_item_encoded = jsonable_encoder(item)
    items[item_id] = update_item_encoded
    return jsonable_encoder(items)

2. 用 PATCH 进行部分更新

• 只发送 要更新的数据，其余数据保持不变
• 可以在 Pydantic 模型的 .dict() 中使用 exclude_unset 参数：排除没有设置的参数(默认值的参数)
• .copy() 为已有模型创建副本，调用 update 参数更新数据

代码语言：javascript复制

from typing import List, Optional

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: Optional[str] = None
    description: Optional[str] = None
    price: Optional[float] = None
    tax: float = 10.5
    tags: List[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},
    "baz": {"name": "Baz", "description": None, "price": 50.2, "tax": 10.5, "tags": []},
}


@app.get("/items/{item_id}", response_model=Item)
async def read_item(item_id: str):
    return items[item_id]


@app.patch("/items/{item_id}", response_model=Item)
async def update_item(item_id: str, item: Item):
    stored_item_data = items[item_id] # 提取存储的数据
    stored_item_model = Item(**stored_item_data) # 原来的数据生成新的model
    update_data = item.dict(exclude_unset=True) # 原来的model除去未设置的字段
    updated_item = stored_item_model.copy(update=update_data)# 创建新的model副本，更新数据(只更新设置的字段)
    items[item_id] = jsonable_encoder(updated_item) # 模型副本转换为可存入数据的形式，存入数据库
    return updated_item

copy put pydantic 模型

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