README.md

flask-api-read-write-asqldb

A Flask API for uploading historical data from CSV files to an Azure SQL database, with endpoints for data analysis queries. This project provides a simple yet powerful solution for managing and analyzing historical data stored in CSV files within an Azure SQL environment.

Project Hierarchy

The project is structured as follows:

.
├── README.md
├── app.py
├── files_sources
│   ├── employees.csv
│   ├── departments.csv
│   ├── jobs.csv
├── reports
│   ├── hired_employees.pbix
├── templates
│   ├── employees_hired_by_department.html
│   ├── inv_employees.html
├── app.py
└── requirements.txt

Installation

1. Clone the repository:

   git clone <repository_url>
   cd api-read-write
   

2. Install dependecies using pip

   pip3 install -r requirements.txt

Usage

Ensure that the CSV files are placed in the files_sources folder. Run the Flask application:

python3 app.py

• The application will run on http://localhost:105/

Endpoints

• POST /full_load: Upload CSV files from the files_sources folder to the Azure SQL database. The endpoint processes files corresponding to different tables in the database, validates the data, and inserts valid rows into the database. Invalid rows and files are logged for further inspection. For all files, all columns must have a value. The values must be of the accepted data type for each column.
• GET /inv_employees: Retrieve the number of employees hired for each job and department in 2021 divided by quarter.
• GET /list_employees_hired_by_department: Retrieve the list of departments that hired more employees than the average in 2021.