app.py

from flask import Flask, render_template, request, jsonify
from flask_cors import CORS
from utils.predictor import CricketPredictor
from utils.encoders import TEAMS, VENUES
import logging
import os

app = Flask(__name__)
CORS(app)

logging.basicConfig(level=logging.INFO)

predictor = CricketPredictor()

# ───────────── ROUTES ─────────────

@app.route("/")
def index():
    return render_template("index.html", teams=TEAMS, venues=VENUES)

@app.route("/simulate")
def simulate():
    return render_template("simulate.html", teams=TEAMS, venues=VENUES)

@app.route("/model-info")
def model_info():
    return render_template("model_info.html")

# ───────────── API ─────────────

@app.route("/api/predict", methods=["POST"])
def api_predict():
    try:
        data = request.get_json(force=True)

        required = [
            "batting_team", "bowling_team", "venue",
            "innings", "over", "ball_in_over",
            "current_score", "wickets_fallen"
        ]

        missing = [f for f in required if f not in data]
        if missing:
            return jsonify({"error": f"Missing: {', '.join(missing)}"}), 400

        # Defaults
        data.setdefault("batter_sr", 130)
        data.setdefault("bowler_eco", 7.5)
        data.setdefault("last_6_runs", 6)
        data.setdefault("last_12_runs", 12)

        if int(data["innings"]) == 2:
            if "balls_remaining" not in data:
                return jsonify({"error": "balls_remaining required"}), 400

        result = predictor.predict(data)

        return jsonify({"success": True, "prediction": result})

    except Exception as e:
        logging.exception("Prediction error")
        return jsonify({"error": str(e)}), 500


@app.route("/api/health")
def health():
    return jsonify({"status": "ok"})


# ───────────── RUN ─────────────

if __name__ == "__main__":
    port = int(os.environ.get("PORT", 7860))
    app.run(host="0.0.0.0", port=port, debug=True)