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파이썬 크롤링 이후 데이터를 전달할때
Rest API 인터페이스를 만들어서 다양한 플랫폼에서도 사용 가능하게 하기위해서
파이썬 프레임워크가 필요할것 같아서 간단하게 사용할수 있는 프레임워크중
이름부터 빠른 FastAPI 설치 해보도록 하겠습니다.
필요한 파이썬 FastAPI 설정을 해보도록 하겠습니다.
fastapi 설치
renzo@renzoui-MacBookPro jobkorea % conda install -c conda-forge fastapi
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.13.0
latest version: 22.9.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /Users/renzo/opt/anaconda3/envs/jobkorea
added / updated specs:
- fastapi
The following packages will be downloaded:
package | build
---------------------------|-----------------
anyio-3.6.1 | pyhd8ed1ab_1 83 KB conda-forge
ca-certificates-2022.9.24 | h4653dfc_0 150 KB conda-forge
certifi-2022.9.24 | pyhd8ed1ab_0 155 KB conda-forge
fastapi-0.85.0 | pyhd8ed1ab_0 45 KB conda-forge
openssl-1.1.1q | ha287fd2_0 1.8 MB conda-forge
pydantic-1.9.0 | py39h1a28f6b_1 1.8 MB
sniffio-1.3.0 | pyhd8ed1ab_0 14 KB conda-forge
starlette-0.20.4 | pyhd8ed1ab_0 48 KB conda-forge
typing-extensions-4.4.0 | hd8ed1ab_0 8 KB conda-forge
typing_extensions-4.4.0 | pyha770c72_0 29 KB conda-forge
------------------------------------------------------------
Total: 4.1 MB
The following NEW packages will be INSTALLED:
anyio conda-forge/noarch::anyio-3.6.1-pyhd8ed1ab_1
fastapi conda-forge/noarch::fastapi-0.85.0-pyhd8ed1ab_0
pydantic pkgs/main/osx-arm64::pydantic-1.9.0-py39h1a28f6b_1
sniffio conda-forge/noarch::sniffio-1.3.0-pyhd8ed1ab_0
starlette conda-forge/noarch::starlette-0.20.4-pyhd8ed1ab_0
typing-extensions conda-forge/noarch::typing-extensions-4.4.0-hd8ed1ab_0
typing_extensions conda-forge/noarch::typing_extensions-4.4.0-pyha770c72_0
The following packages will be UPDATED:
ca-certificates pkgs/main::ca-certificates-2022.07.19~ --> conda-forge::ca-certificates-2022.9.24-h4653dfc_0
The following packages will be SUPERSEDED by a higher-priority channel:
certifi pkgs/main/osx-arm64::certifi-2022.9.2~ --> conda-forge/noarch::certifi-2022.9.24-pyhd8ed1ab_0
openssl pkgs/main::openssl-1.1.1q-h1a28f6b_0 --> conda-forge::openssl-1.1.1q-ha287fd2_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
ca-certificates-2022 | 150 KB | ###################################################################################################################################################### | 100%
typing-extensions-4. | 8 KB | ###################################################################################################################################################### | 100%
certifi-2022.9.24 | 155 KB | ###################################################################################################################################################### | 100%
fastapi-0.85.0 | 45 KB | ###################################################################################################################################################### | 100%
openssl-1.1.1q | 1.8 MB | ###################################################################################################################################################### | 100%
sniffio-1.3.0 | 14 KB | ###################################################################################################################################################### | 100%
typing_extensions-4. | 29 KB | ###################################################################################################################################################### | 100%
starlette-0.20.4 | 48 KB | ###################################################################################################################################################### | 100%
pydantic-1.9.0 | 1.8 MB | ###################################################################################################################################################### | 100%
anyio-3.6.1 | 83 KB | ###################################################################################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
uvicorn 설치
renzo@renzoui-MacBookPro jobkorea-web % conda install uvicorn
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.13.0
latest version: 22.9.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /Users/renzo/opt/anaconda3/envs/jobkorea
added / updated specs:
- uvicorn
The following packages will be downloaded:
package | build
---------------------------|-----------------
asgiref-3.5.2 | py39hca03da5_0 39 KB
h11-0.12.0 | pyhd3eb1b0_0 47 KB
uvicorn-0.16.0 | py39hca03da5_0 82 KB
------------------------------------------------------------
Total: 168 KB
The following NEW packages will be INSTALLED:
asgiref pkgs/main/osx-arm64::asgiref-3.5.2-py39hca03da5_0
click pkgs/main/osx-arm64::click-8.0.4-py39hca03da5_0
h11 pkgs/main/noarch::h11-0.12.0-pyhd3eb1b0_0
uvicorn pkgs/main/osx-arm64::uvicorn-0.16.0-py39hca03da5_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
uvicorn-0.16.0 | 82 KB | ################################################################################# | 100%
asgiref-3.5.2 | 39 KB | ################################################################################# | 100%
h11-0.12.0 | 47 KB | ################################################################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
FastAPI 를 사용하기 위해서는 fastapi, uvicorn 2개의 패키지를 설치 해야합니다.
uvicorn 패키지를 통해서 Phthon 서버가 실행되기에 필수적으로 진행하셔야합니다.
main.py 생성
# main.py
from fastapi import FastAPI # FastAPI 모듈 가져오기
app = FastAPI() # 객체 생성
@app.get("/") # Route Path
def test_index():
# Json 타입으로 값 반환
return {
"Python": "Framework",
}
@app.get("/something")
def something():
return {
"Something": "Page",
}코드는 java만 해본저도 어렵지 않게 이해가됩니다.
fastAPI를 import
Route 할수 있는 Rest API GET방식 2건 입니다.
Springboot 기반에 Rest API만들려면 이것보다는 손도 많이가고 코드의 양도 많아지는데 Python은 정말
Fast 하네요!!
Python 실행 명령어
uvicorn main:app --reload --port 8000
- uvicorn : 파이썬 서버 실행을 위해 필요한 기본 명령어
- main : 실행할 초기 파이썬 파일 이름. 위의 소스코드를 test.py 파일에 작성하였을 경우, test:app으로 변경하여 실행
- app : FastAPI() 모듈을 할당한 객체명을 뜻한다. practice = FastAPI() 일 경우, main.practice로 변경하여 실행
- reload : 소스코드가 변경되었을 때, 서버를 자동으로 재시작해주는 옵션이다. 개발단계일 때 유용하게 사용가능
- port : 해당 포트번호를 통해 서버를 실행시켜주는 옵션. 포트 옵션을 생략시 자동으로 8000번 포트가 할당
renzo@renzoui-MacBookPro jobkorea % uvicorn main:app --reload --port 8000
INFO: Will watch for changes in these directories: ['/Users/renzo/opt/anaconda3/envs/jobkorea']
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO: Started reloader process [97004] using statreload
INFO: Started server process [97007]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: 127.0.0.1:65428 - "GET / HTTP/1.1" 200 OK
INFO: 127.0.0.1:65428 - "GET /favicon.ico HTTP/1.1" 404 Not Found정상적으로 기동이 되면 오류 없이 INFO 에 정상적으로 startup된걸 확인할수 있습니다.
로그정보도 Springboot보다 심플하네요
그래 옷이던 사람이던 개발언어든 심플한게 좋네요 !!
chrome 브라우저에서 아래 내용을 호출하면 코드레벨에 정의한 Response 가 정상호출되면 RestAPI 준비는 완료입니다.
http://localhost:8000/something
{"Something":"Page"}url 호출하면 아래처럼 Log 확인가능합니다.
INFO: Will watch for changes in these directories: ['/Users/renzo/opt/anaconda3/envs/jobkorea']
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO: Started reloader process [97354] using statreload
INFO: Started server process [97361]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: 127.0.0.1:65466 - "GET /something HTTP/1.1" 200 OKAPI Doc
와 Springboot 는 Springdoc, Swagger config 설정하고 Java에 별도 Annotation 해주고 그래야되는데
그냥 되네 역시 Python은 정말 짱인거같아요
