app.py

from flask import Flask, request, jsonify
from flask_cors import CORS
from dotenv import load_dotenv
import os
import pandas as pd
import numpy as np
from openai import OpenAI

# Load environment variables
load_dotenv()

# Initialize Flask app
app = Flask(__name__)
CORS(app)

# Initialize OpenAI client
openai_client = OpenAI(api_key=os.getenv('OPENAI_API_KEY'))

# AR Debt Demon Feature
@app.route('/api/debt-demon', methods=['POST'])
def generate_debt_demon():
    data = request.get_json()
    debt_amount = data.get('debt_amount', 0)
    debt_increasing = data.get('debt_increasing', True)
    
    demon_size = debt_amount / 1000  # Scale demon to debt
    demon_texture = "angry" if debt_increasing else "sad"
    
    return jsonify({
        "size": demon_size,
        "mood": demon_texture
    })

# Time Prison Calculator
@app.route('/api/time-prison', methods=['POST'])
def calculate_time_cost():
    data = request.get_json()
    item_price = data.get('item_price', 0)
    hourly_wage = data.get('hourly_wage', 0)
    commute_minutes = data.get('commute_minutes', 0)
    
    work_hours = item_price / hourly_wage if hourly_wage > 0 else 0
    total_hours = work_hours + (commute_minutes / 60)
    
    return jsonify({
        "work_hours": work_hours,
        "total_hours": total_hours
    })

# Financial Tarot
@app.route('/api/tarot-reading', methods=['POST'])
def generate_tarot_reading():
    data = request.get_json()
    transaction = data.get('transaction', {})
    
    # Generate tarot reading using GPT-4
    prompt = f"""Analyze this purchase: {transaction}. 
    Give a mystical warning/approval using:
    - Past spending
    - Local price comparisons
    - User's savings goals"""
    
    try:
        response = openai_client.completions.create(
            model="gpt-4",
            prompt=prompt,
            max_tokens=150
        )
        reading = response.choices[0].text.strip()
    except Exception as e:
        reading = "The financial spirits are silent at the moment."
    
    return jsonify({"reading": reading})

# Pain-Point PayPal
@app.route('/api/pain-feedback', methods=['POST'])
def trigger_pain():
    data = request.get_json()
    overspend_amount = data.get('overspend_amount', 0)
    
    pain_duration = overspend_amount / 10  # $10 = 1 second
    
    return jsonify({
        "pain_duration": pain_duration,
        "feedback_type": "vibration"
    })

if __name__ == '__main__':
    app.run(debug=True, host='0.0.0.0', port=5000)