This code provides a Flask-based web application API endpoint for...

September 4, 2025 at 09:53 AM

from flask import Flask, request, jsonify import math app = Flask(__name__) @app.route("/emi-calc-endpoint", methods=["POST"]) def emi_calc(): data = request.json.get("values", {}) amount = data.get("amount") interest = data.get("interest") tenure = data.get("tenure") try: P = float(amount) R = float(interest) / 12 / 100 # Monthly interest rate N = int(tenure) # Number of months # EMI Formula emi = (P * R * math.pow(1 + R, N)) / (math.pow(1 + R, N) - 1) return jsonify({ "version": "7.2", "data": { "emi_result": f"₹ {emi:.2f}", "rate": f"{interest}% pa" } }) except Exception as e: return jsonify({"error": str(e)}), 400 if __name__ == "__main__": app.run(debug=True)

This code provides a Flask-based web application API endpoint for calculating Equated Monthly Installments (EMI) for loans. Below is a step-by-step explanation of what the code does:

  1. Importing Libraries:

    • Flask: Creates the web application and handles HTTP requests.
    • request: Used to retrieve incoming JSON request data.
    • jsonify: Used to format Python data into JSON responses.
    • math: Used for mathematical operations (e.g., exponentiation).
  2. Creating a Flask Application:

    • app = Flask(__name__) initializes the Flask app.
  3. Defining an Endpoint:

    • The route /emi-calc-endpoint is defined to accept HTTP POST requests (methods=["POST"]).
    • This endpoint is meant to calculate the EMI based on input JSON.
  4. Receiving and Parsing Input Data:

    • request.json.get("values", {}) retrieves the values field from the JSON body of the incoming request.
    • The expected input JSON format is something like:
      {
        "values": {
          "amount": 100000,
          "interest": 10,
          "tenure": 12
        }
      }
      
    • The loan amount, annual interest rate, and tenure in months are extracted from this input.
  5. EMI Calculation:

    • The formula for calculating EMI is: [ \text{EMI} = \frac{P \times R \times (1+R)^N}{(1+R)^N - 1} ] Where:
      • ( P ): Principal loan amount.
      • ( R ): Monthly interest rate. Converted from annual percentage by dividing by 12 and 100: float(interest) / 12 / 100.
      • ( N ): Loan tenure in months.
    • The monthly EMI is computed using Python's math.pow for exponentiation, then formatted to 2 decimal places for output.
  6. Returning the EMI Calculation:

    • On successful calculation, the result is returned as a JSON response in the following format:
      {
        "version": "7.2",
        "data": {
          "emi_result": "₹ EMI_VALUE",
          "rate": "INTEREST_VALUE% pa"
        }
      }
      
      For example:
      {
        "version": "7.2",
        "data": {
          "emi_result": "₹ 8791.67",
          "rate": "10% pa"
        }
      }
      
  7. Handling Errors:

    • If anything goes wrong (e.g., missing data or invalid input types), the code catches the exception and returns a 400 HTTP status with an error message:
      {
        "error": "Error message"
      }
      
  8. Running the Flask Application:

    • The app.run(debug=True) starts the Flask development server, making the API accessible for testing (running locally by default at http://127.0.0.1:5000).

Purpose:

This code is a RESTful API endpoint designed to calculate loan EMIs based on user-provided loan amount, annual interest rate, and tenure. It validates input, performs the calculation, and returns the EMI in a structured JSON response.

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