FastAPI集成mongodb的增删改查样例

样例如下

python 复制代码
import os
from typing import Optional, List

from fastapi import FastAPI, Body, HTTPException, status
from fastapi.responses import Response
from pydantic import ConfigDict, BaseModel, Field, EmailStr
from pydantic.functional_validators import BeforeValidator

from typing_extensions import Annotated

from bson import ObjectId
import motor.motor_asyncio
from pymongo import ReturnDocument


app = FastAPI(
    title="Student Course API",
    summary="A sample application showing how to use FastAPI to add a ReST API to a MongoDB collection.",
)
client = motor.motor_asyncio.AsyncIOMotorClient(os.environ["MONGODB_URL"])
db = client.college
student_collection = db.get_collection("students")

# Represents an ObjectId field in the database.
# It will be represented as a `str` on the model so that it can be serialized to JSON.
PyObjectId = Annotated[str, BeforeValidator(str)]


class StudentModel(BaseModel):
    """
    Container for a single student record.
    """

    # The primary key for the StudentModel, stored as a `str` on the instance.
    # This will be aliased to `_id` when sent to MongoDB,
    # but provided as `id` in the API requests and responses.
    id: Optional[PyObjectId] = Field(alias="_id", default=None)
    name: str = Field(...)
    email: EmailStr = Field(...)
    course: str = Field(...)
    gpa: float = Field(..., le=4.0)
    model_config = ConfigDict(
        populate_by_name=True,
        arbitrary_types_allowed=True,
        json_schema_extra={
            "example": {
                "name": "Jane Doe",
                "email": "jdoe@example.com",
                "course": "Experiments, Science, and Fashion in Nanophotonics",
                "gpa": 3.0,
            }
        },
    )


class UpdateStudentModel(BaseModel):
    """
    A set of optional updates to be made to a document in the database.
    """

    name: Optional[str] = None
    email: Optional[EmailStr] = None
    course: Optional[str] = None
    gpa: Optional[float] = None
    model_config = ConfigDict(
        arbitrary_types_allowed=True,
        json_encoders={ObjectId: str},
        json_schema_extra={
            "example": {
                "name": "Jane Doe",
                "email": "jdoe@example.com",
                "course": "Experiments, Science, and Fashion in Nanophotonics",
                "gpa": 3.0,
            }
        },
    )


class StudentCollection(BaseModel):
    """
    A container holding a list of `StudentModel` instances.

    This exists because providing a top-level array in a JSON response can be a [vulnerability](https://haacked.com/archive/2009/06/25/json-hijacking.aspx/)
    """

    students: List[StudentModel]


@app.post(
    "/students/",
    response_description="Add new student",
    response_model=StudentModel,
    status_code=status.HTTP_201_CREATED,
    response_model_by_alias=False,
)
async def create_student(student: StudentModel = Body(...)):
    """
    Insert a new student record.

    A unique `id` will be created and provided in the response.
    """
    new_student = await student_collection.insert_one(
        student.model_dump(by_alias=True, exclude=["id"])
    )
    created_student = await student_collection.find_one(
        {"_id": new_student.inserted_id}
    )
    return created_student


@app.get(
    "/students/",
    response_description="List all students",
    response_model=StudentCollection,
    response_model_by_alias=False,
)
async def list_students():
    """
    List all of the student data in the database.

    The response is unpaginated and limited to 1000 results.
    """
    return StudentCollection(students=await student_collection.find().to_list(1000))


@app.get(
    "/students/{id}",
    response_description="Get a single student",
    response_model=StudentModel,
    response_model_by_alias=False,
)
async def show_student(id: str):
    """
    Get the record for a specific student, looked up by `id`.
    """
    if (
        student := await student_collection.find_one({"_id": ObjectId(id)})
    ) is not None:
        return student

    raise HTTPException(status_code=404, detail=f"Student {id} not found")


@app.put(
    "/students/{id}",
    response_description="Update a student",
    response_model=StudentModel,
    response_model_by_alias=False,
)
async def update_student(id: str, student: UpdateStudentModel = Body(...)):
    """
    Update individual fields of an existing student record.

    Only the provided fields will be updated.
    Any missing or `null` fields will be ignored.
    """
    student = {
        k: v for k, v in student.model_dump(by_alias=True).items() if v is not None
    }

    if len(student) >= 1:
        update_result = await student_collection.find_one_and_update(
            {"_id": ObjectId(id)},
            {"$set": student},
            return_document=ReturnDocument.AFTER,
        )
        if update_result is not None:
            return update_result
        else:
            raise HTTPException(status_code=404, detail=f"Student {id} not found")

    # The update is empty, but we should still return the matching document:
    if (existing_student := await student_collection.find_one({"_id": id})) is not None:
        return existing_student

    raise HTTPException(status_code=404, detail=f"Student {id} not found")


@app.delete("/students/{id}", response_description="Delete a student")
async def delete_student(id: str):
    """
    Remove a single student record from the database.
    """
    delete_result = await student_collection.delete_one({"_id": ObjectId(id)})

    if delete_result.deleted_count == 1:
        return Response(status_code=status.HTTP_204_NO_CONTENT)

    raise HTTPException(status_code=404, detail=f"Student {id} not found")
相关推荐
古城小栈5 分钟前
MySQL与ES高效同步
数据库·mysql·elasticsearch
edjxj1 小时前
解决QT可执行文件在不同缩放大小的电脑上显示差异
服务器·数据库·qt
Mr.Pascal9 小时前
Redis:主动更新,读时更新,定时任务。三种的优劣势对比
数据库·redis·缓存
思成不止于此9 小时前
【MySQL 零基础入门】DQL 核心语法(二):表条件查询与分组查询篇
android·数据库·笔记·学习·mysql
骥龙10 小时前
3.10、构建网络防线:防火墙、WAF 与蜜罐实战
服务器·网络·数据库·网络安全
gugugu.11 小时前
Redis 字符串类型完全指南:从原理到实战应用
数据库·redis·缓存
杨云龙UP11 小时前
MySQL 自动备份与覆盖恢复实战:一套脚本搞定全库/按库备份恢复
linux·运维·数据库·sql·mysql
workflower12 小时前
PostgreSQL 数据库优化
数据库·团队开发·数据库开发·时序数据库·数据库架构
计算机毕设VX:Fegn089513 小时前
计算机毕业设计|基于springboot + vue服装商城系统(源码+数据库+文档)
数据库·vue.js·spring boot·课程设计
WX-bisheyuange14 小时前
基于Spring Boot的智慧校园管理系统设计与实现
java·大数据·数据库·毕业设计