FLYAI4 / ArtFront-ReactNative

프로젝트 Frontend repo 입니다.
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[Frontend] SSE 테스트 API 개발 #3

Closed robert-min closed 9 months ago

robert-min commented 10 months ago

📌 Description

Front에서 SSE 테스트를 진행하기위한 API를 개발합니다.


🎈 Goal

$\tiny{구체적인\ 산출물을\ 포함한\ 목표를\ 작성해주세요.}$


✏️ Todo

$\tiny{목표\ 달성을\ 위해\ 해야할\ 일을\ 세부적으로\ 작성해주세요.}$

robert-min commented 10 months ago

SSE 테스트 API 사용법


1. git clone 또는 다운로드로 sse-api 폴더 다운로드

repo 링크

image
git clone https://github.com/FLYAI4/fastapi-go-grpc-review.git

cd fastapi-go-grpc-review
mv ./sse_api ~/sse_api
cd ~/sse_api
image


2. sse-api 폴더에서 가상환경 세팅

# 가상환경 세팅
python -m venv .venv
source source .venv/bin/activate

# 라이브러리 설치
pip install -r requirements.txt


3. 서버 실행

python app.py
image


4. API 정상 실행 확인하기

image



API 명세서

  1. 이미지 저장 api

    • POST
    • url : /user/image
    • header : username
    • file: file
    • response
      {
      "message": "ok",
      "username": "kim"
      }
  2. SSE 텍스트 API

    • GET
    • url: /stream/text
    • response
text: Fake text bytes - 0
text: Fake text bytes - 1
text: Fake text bytes - 2
text: Fake text bytes - 3
text: Fake text bytes - 4
text: Fake text bytes - 5
text: Fake text bytes - 6
text: Fake text bytes - 7
text: Fake text bytes - 8
text: Fake text bytes - 9
  1. sse 텍스트 + 이미지 API
    • GET
    • url : /stream/text-image
    • respose: image는 base64인코딩 되어 있음
text: Fake text bytes - 0
text: Fake text bytes - 1
text: Fake text bytes - 2
text: Fake text bytes - 3
text: Fake text bytes - 4
text: Fake text bytes - 5
image: 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heehminh commented 10 months ago

POST API 전송

  1. request body에 image를 주면,
  2. response a. bounding 박스 쳐진 image b. 각각의 좌표 + 키워드(영) + 키워드(한) + 설명 c. video (image2video로 만든)