https://github.com/ramyadeveloper5/retail-insights-sales-api

To Develop the Retail Insights Sales API Task By Using Flask
https://github.com/ramyadeveloper5/retail-insights-sales-api

flask-sqlalchemy pandas-library postgresql postman python restapi-backend retail-sales-data

Last synced: 6 months ago
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To Develop the Retail Insights Sales API Task By Using Flask

• Host: GitHub
• URL: https://github.com/ramyadeveloper5/retail-insights-sales-api
• Owner: Ramyadeveloper5
• Created: 2025-04-15T15:22:01.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-04-15T15:29:16.000Z (6 months ago)
• Last Synced: 2025-04-15T16:42:00.546Z (6 months ago)
• Topics: flask-sqlalchemy, pandas-library, postgresql, postman, python, restapi-backend, retail-sales-data
• Language: Python
• Homepage:
• Size: 48.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.txt

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README

          
TASK NAME : Retails Insights API By using Flask

BACKEND : Python - Flask 

DATABASE : Postgresql

TESTING : Postman

STEPS TO FOLLOW TO DEVELOP THE TASK

STEPS 1 : 

    Create a Virtual Environment with the name (venv)

    Activate the Environment

STEP 2 : Database Setup

    Create the Database in Postgresql

    Create the table

    Insert some Dummy Data 

STEP 3 : Flask Setup

    Install the Packages like flask, pandas, psycopg2, SQLAlchemy

    Create .env file for store all the environment values

    Create the Configure File for storing database values

    Create the new file(init) to Setup the Database  with SQLAlchemy

    Create the Sales Table Model with the new file(models)

    Create the routes.py file to write the api for two routes

        1. Summary routes

        2. Filter by the Product routes

    Create the flask file to the run Project : (python run.py)

STEP 4 : Testing in Postman