from flask import Flask, jsonify
from flask_cors import CORS
import threading
import time
import subprocess
import sys
import os
import json

app = Flask(__name__)
CORS(app) # Enable CORS so the React frontend can fetch data

def run_scrapers_periodically():
    """Background thread to run scrapers every 60 minutes."""
    while True:
        print(f"\n[{time.strftime('%Y-%m-%d %H:%M:%S')}] Starting scheduled background aggregation...")
        try:
            # Run aggregator.py
            subprocess.run([sys.executable, "aggregator.py"], check=True)
            # Run ai_training_scraper.py
            subprocess.run([sys.executable, "ai_training_scraper.py"], check=True)
            # Run upwork_scraper.py
            subprocess.run([sys.executable, "upwork_scraper.py"], check=True)
            print(f"[{time.strftime('%Y-%m-%d %H:%M:%S')}] All scrapers synced successfully.")
        except Exception as e:
            print(f"[{time.strftime('%Y-%m-%d %H:%M:%S')}] Aggregation error: {e}")
        
        # Wait for 60 minutes
        time.sleep(3600)

@app.route("/")
def health_check():
    return jsonify({"status": "running", "platform": "Firstify Engine"})

@app.route("/api/startups")
def get_startups():
    try:
        with open("data.json", "r") as f:
            return jsonify(json.load(f))
    except:
        return jsonify([])

@app.route("/api/training")
def get_training():
    try:
        with open("training_data.json", "r") as f:
            return jsonify(json.load(f))
    except:
        return jsonify([])

@app.route("/api/upwork")
def get_upwork():
    try:
        with open("upwork_data.json", "r") as f:
            return jsonify(json.load(f))
    except:
        return jsonify([])

if __name__ == "__main__":
    # Start the scraping thread
    threading.Thread(target=run_scrapers_periodically, daemon=True).start()
    
    # Start the Flask server
    # Hugging Face Spaces use port 7860 by default
    port = int(os.environ.get("PORT", 7860))
    app.run(host="0.0.0.0", port=port)