app.py

from flask import Flask, request, jsonify
from flask_cors import CORS
import os
from sentiment_analysis import perform_sentiment_analysis, comparative_analysis
from tts_hindi import generate_hindi_coqui_tts
import pandas as pd
import zipfile
from waitress import serve

# ✅ Extract the ZIP at runtime
zip_file = "company_news.zip"
extract_folder = "company_news"

if os.path.exists(zip_file):
    with zipfile.ZipFile(zip_file, 'r') as zip_ref:
        zip_ref.extractall(extract_folder)
        print(f"✅ Extracted {zip_file} to {extract_folder}")

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

@app.route('/analyze', methods=['POST'])
def analyze():
    """Perform news sentiment analysis and TTS."""
    try:
        company_name = request.json.get('company_name')

        if not company_name:
            return jsonify({"error": "Company name is required"}), 400

        csv_file = f"company_news/{company_name}_news.csv"

        if not os.path.exists(csv_file):
            return jsonify({"error": f"No data found for {company_name}"}), 404

        # ✅ Perform sentiment analysis
        sentiment_df = perform_sentiment_analysis(csv_file)
        sentiment_summary = comparative_analysis(sentiment_df)

        # ✅ Generate Hindi TTS audio
        summary_text = ". ".join(sentiment_df['summary'].tolist())
        audio_file = generate_hindi_coqui_tts(summary_text, company_name)

        # ✅ Extract article details
        articles = sentiment_df[['title', 'summary', 'url']].to_dict(orient='records')

        return jsonify({
            "company": company_name,
            "sentiment_summary": sentiment_summary,
            "articles": articles,
            "audio_file": audio_file
        })

    except Exception as e:
        print(f"API Error: {e}")
        return jsonify({"error": f"Internal server error: {str(e)}"}), 500

@app.route('/generate-tts', methods=['POST'])
def generate_tts_api():
    data = request.get_json()

    text = data.get('text')
    company_name = data.get('company_name', 'default_company')

    if not text:
        return jsonify({"error": "Text is required"}), 400

    audio_file = generate_hindi_coqui_tts(text, company_name)

    if audio_file and os.path.exists(audio_file):
        return jsonify({
            "message": "✅ TTS generated successfully",
            "audio_file": audio_file
        })
    else:
        return jsonify({"error": "Failed to generate TTS"}), 500

if __name__ == '__main__':
    print("🚀 Running production server...")
    serve(app, host="0.0.0.0", port=7870)