1、路径参数

@app.get("/getfilecontent/{id}/{pre}")
def get_filecontent(id,pre):"""路径参数，测试接口，读取当前工作目录下的file.txt文件，返回txt中的内容:param id: The ID of the item to retrieve.:param pre: An optional query parameter."""with open('file.txt', 'r') as f:   content = f.read()  logger.info("start2")return {"Hello": content}

限制允许的值

例1：
class UserType（str,Enum）:STANDARD="standard"ADMIN="admin"
例2：
async def get_user(type:UserType,id:int)
ge 大于或等于

2、查询参数

@app.get("/users")
def get_users(page:int=1,size:int=10):"""查询参数，测试接口:param page: The ID of the item to retrieve.:param size: An optional query parameter."""return {"Hello": size}

3、主体数据

例1：

from fastapi import Body
@app.post("/userstest")
async def create_usertest(name:str=Body(...),age:int=Body(...)):return{"name":name,"age":age}

用postman测试,如下：

例2：

class Item(BaseModel):name: strdescription: Optional[str] = Noneprice: floattax: Optional[float] = None
@app.post("/itemes/")
async def create_iteem(item: Item):"""主体数据 测试 原始的(raw) body中负载json 但是使用了pydantic，避免了上述冗长"""return item

4、表单数据和文件上传

（1）表单数据

from fastapi import Form
@app.post("/login/")
async def login(username: str = Form(...), password: str = Form(...)):"""表单数据 测试"""return {"username": username}

（2）文件上传

pip install python-multipart。

from fastapi import FastAPI, File,UploadFile,Response
@app.post("/uploadfile/")
async def create_upload_file(file: UploadFile = File(...)):logger.info("start")try:with open(file.filename, "wb") as local_file:local_file.write(file.file.read())return JSONResponse(content={"message": "File uploaded and saved successfully 上传成功，定位成功"})except Exception as e:logger.info(str(e))return JSONResponse(content={"message": f"An error occurred: {str(e)}"}, status_code=500)return {"filename": file.filename}