Python을 사용하여 inutes에서 API 만들기-파이썬 튜토리얼-php.cn

Python을 사용하여 inutes에서 API 만들기

Barbara Streisand

풀어 주다： 2024-10-23 20:07:02

원래의

787명이 탐색했습니다.

"FastAPI를 사용하여 5분 만에 API를 생성하세요. 최신 고성능 Python 프레임워크인 FastAPI를 사용하면 강력한 웹 애플리케이션을 쉽게 구축할 수 있습니다."

설치
pip를 사용하여 FastAPI 및 uvicorn(ASGI 서버)을 설치합니다.

pip install fastapi uvicorn
pip 설치 fastapi

API를 만들어 보겠습니다

메모장을 열고 아래 내용을 붙여넣은 후 파일을 data.json으로 저장합니다(POST 메소드를 사용하여 이 파일에 데이터를 추가하고 GET 메소드를 사용하여 레코드를 검색합니다

data.json

[
   {
      "name": "John",
      "age": 25
   },
   {  "name": "Smith",
      "age": 27
   }
]

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이제 새 Python 파일을 만들고 이름을 app.py로 지정한 후 아래 코드를 붙여넣으세요

# This section imports necessary modules and classes from the FastAPI library and Python's standard library. It imports FastAPI for creating the web application, HTTPException for raising HTTP exceptions, List for type hints, and json for working with JSON data.

from fastapi import FastAPI, HTTPException
from typing import List
import json

# This creates an instance of the FastAPI class, which will be the main application instance for handling HTTP requests.
app = FastAPI()

# This block reads the content of the "data.json" file using a context manager (with statement) and loads the JSON data into the initial_data variable.
with open("data.json", "r") as file:
    initial_data = json.load(file)

# This line initializes the data variable with the loaded JSON data, effectively creating a list of dictionaries containing user information.
data = initial_data

# This decorator (@app.get(...)) defines a GET endpoint at the "/users" URL. It uses the get_users function to handle the request. The response_model parameter specifies the expected response model, which is a list of dictionaries in this case.
@app.get("/users", response_model=List[dict])
async def get_users():
    return data

# This decorator (@app.post(...)) defines a POST endpoint at the "/users" URL. It uses the create_user function to handle the request. The response_model parameter specifies the expected response model, which is a single dictionary in this case.
# The create_user function attempts to append the received user dictionary to the data list. If successful, it constructs a response dictionary indicating the success. If an exception occurs during the attempt (e.g., due to invalid data), it constructs a response dictionary indicating an error.
@app.post("/users", response_model=dict)
async def create_user(user: dict):
    try:
        data.append(user)
        response_data = {"message": "User created successfully", "user": user}
    except:
        response_data = {"message": "Error creating user", "user": user}
    return response_data

# This function uses a context manager to open the "data.json" file in write mode and then uses json.dump to write the contents of the data list back to the file, formatting it with an indentation of 4 spaces.
def save_data():
    with open("data.json", "w") as file:
        json.dump(data, file, indent=4)

# This decorator (@app.on_event(...)) defines a function that will be executed when the FastAPI application is shutting down. In this case, it calls the save_data function to save the data back to the JSON file before the application exits.
@app.on_event("shutdown")
async def shutdown_event():
    save_data()

# This block checks if the script is being run directly (not imported as a module). If it is, it uses the uvicorn.run function to start the FastAPI application on host "0.0.0.0" and port 8000. This is how you launch the application using the Uvicorn ASGI server.
if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)

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app.py를 실행하면 Uvicorn 서버가 들어오는 HTTP 요청을 처리하기 위한 새로운 프로세스를 시작합니다. 서버가 실행되면 Postman을 열고 URL이 http://0.0.0.0:8000/users인 새 GET 요청을 생성한 다음 보내기를 클릭하세요

Create API’s in inutes with Python