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
科技小花2 小时前
数据治理平台架构演进观察:AI原生设计如何重构企业数据管理范式
数据库·重构·架构·数据治理·ai-native·ai原生
一江寒逸2 小时前
零基础从入门到精通MySQL(中篇):进阶篇——吃透多表查询、事务核心与高级特性,搞定复杂业务SQL
数据库·sql·mysql
D4c-lovetrain2 小时前
linux个人心得22 (mysql)
数据库·mysql
阿里小阿希3 小时前
CentOS7 PostgreSQL 9.2 升级到 15 完整教程
数据库·postgresql
荒川之神3 小时前
Oracle 数据仓库雪花模型设计(完整实战方案)
数据库·数据仓库·oracle
做个文艺程序员3 小时前
MySQL安全加固十大硬核操作
数据库·mysql·安全
不吃香菜学java3 小时前
Redis简单应用
数据库·spring boot·tomcat·maven
一个天蝎座 白勺 程序猿4 小时前
Apache IoTDB(15):IoTDB查询写回(INTO子句)深度解析——从语法到实战的ETL全链路指南
数据库·apache·etl·iotdb
不知名的老吴4 小时前
Redis的延迟瓶颈:TCP栈开销无法避免
数据库·redis·缓存
YOU OU4 小时前
三大范式和E-R图
数据库