#!/usr/bin/env python3
"""
Collector Process:
- Runs the OCR engine.
- Updates OCR data every 0.5 seconds.
- Exposes the latest data via an HTTP API using Flask.
"""

import time
import threading
from flask import Flask, jsonify

app = Flask(__name__)

# Global variable to hold the latest stats (HP, MP, FP, EXP)
latest_data = {
    "hp": "0/0",
    "mp": "0/0",
    "fp": "0/0",
    "exp": "0.0000"
}

def ocr_collector():
    """
    This function simulates the OCR process.
    Replace the code below with your actual OCR logic.
    """
    global latest_data
    counter = 0
    while True:
        # Simulate updating stats:
        hp_current = 50 + counter % 10
        hp_max = 100
        mp_current = 30 + counter % 5
        mp_max = 50
        fp_current = 20  # fixed, for example
        fp_max = 20
        exp_val = round(10.0 + (counter * 0.1), 4)
        
        latest_data = {
            "hp": f"{hp_current}/{hp_max}",
            "mp": f"{mp_current}/{mp_max}",
            "fp": f"{fp_current}/{fp_max}",
            "exp": f"{exp_val:.4f}"
        }
        
        counter += 1
        time.sleep(0.5)

@app.route('/data')
def get_data():
    """Return the latest OCR data as JSON."""
    return jsonify(latest_data)

if __name__ == '__main__':
    # Start the OCR collector in a background thread.
    collector_thread = threading.Thread(target=ocr_collector)
    collector_thread.daemon = True
    collector_thread.start()
    
    # Run the Flask app on localhost:5000.
    app.run(host="127.0.0.1", port=5000)