# =============================================================================
# app.py (main entry point)
# =============================================================================
import logging
import os

# Ensure logs folder exists
os.makedirs("logs", exist_ok=True)

# Configure logging
logging.basicConfig(
    level=logging.DEBUG,  # or INFO if you want less noise
    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
    handlers=[
        logging.FileHandler("logs/app.log", mode="a"),  # Log to file
        logging.StreamHandler()                         # Still show in Spaces Logs tab
    ]
)

logger = logging.getLogger(__name__)

# Example usage
logger.info("App started")
logger.debug("This is debug info")



import gradio as gr
from data_handler import DataHandler
from gradio_callbacks import GradioCallbacks
from gradio_components import (
    create_qa_tab, create_filters_tab, create_about_tab
)

def main():
    # Initialize data
    data_handler = DataHandler()
    callbacks = GradioCallbacks(data_handler)
    data = data_handler.get_data()
    
    # Create Gradio app
    with gr.Blocks(
        theme=gr.themes.Monochrome(),
        title="FCAS Research Methods Evidence Mapping",
        css="""
        @import url('https://fonts.googleapis.com/css2?family=Libre+Franklin:wght@400;700&display=swap');

        :root {
            --primary: #012069;
            --secondary: #5E548E;
            --accent: #231942;
            --text: #686868;
            --background: #F9F9F9;
            --heading-font: 'Libre Franklin', Sans-serif;
            --body-font: 'Helvetica Neue', Arial, Helvetica, sans-serif;
        }

        .gradio-container {
            max-width: 1200px !important;
            font-family: var(--body-font);
            background-color: var(--background);
            color: var(--text);
        }
        /* Make Gradio primary buttons navy blue with white text */
        .gr-button,
        .gr-button-primary,
        button[class*="primary"] {
            background: #012069 !important;
            color: #fff !important;
            border: none !important;
            font-family: var(--body-font);
        }

        h1, h2, h3, .main-header {
            font-family: var(--heading-font);
            color: var(--primary);
        }

        .main-header {
            background: var(--secondary);
            color: var(--background);
            padding: 2rem;
            border-radius: 10px;
            margin-bottom: 2rem;
        }

        .gr-button {
            background: var(--accent);
            color: var(--background);
            font-family: var(--body-font);
        }
        /* Synthesis and references styling */
        #synthesis_md, #references_md {
            background: linear-gradient(90deg, #ffffff 0%, #fbfdff 100%);
            border: 1px solid rgba(1,32,105,0.06);
            padding: 16px;
            border-radius: 8px;
            box-shadow: 0 1px 4px rgba(2,6,23,0.02);
            margin-bottom: 0.75rem;
        }
        #synthesis_md h1, #synthesis_md h2, #synthesis_md h3 {
            color: var(--primary);
            margin-top: 0;
        }
        """
    ) as app:
        # Shared state for Q&A synthesis
        qa_synthesis_state = gr.State("")

        with gr.Tabs():
            create_qa_tab(callbacks, qa_synthesis_state)
            create_filters_tab(callbacks, data['countries_list'], data['sectors_list'])
            create_about_tab()
    return app

if __name__ == "__main__":
    import argparse

    parser = argparse.ArgumentParser(description='FCAS app launcher and utilities')
    parser.add_argument('--gemini-multi', action='store_true', help='Run a one-off Gemini multi-speaker TTS generation (CLI mode)')
    parser.add_argument('--text', type=str, default=None, help='Text to synthesize (use with --gemini-multi)')
    parser.add_argument('--file', type=str, default=None, help='Path to a text file to synthesize (use with --gemini-multi)')
    parser.add_argument('--use-stub', action='store_true', help='Set USE_TTS_STUB=1 for offline testing')
    args = parser.parse_args()

    if args.gemini_multi:
        # CLI-only path: run simplified Gemini multi-speaker generation and exit
        if args.use_stub:
            os.environ['USE_TTS_STUB'] = '1'
        # Load data handler and callbacks like the app would
        dh = DataHandler()
        cb = GradioCallbacks(dh)

        # Obtain text to synthesize
        synth_text = None
        if args.text:
            synth_text = args.text
        elif args.file:
            try:
                with open(args.file, 'r', encoding='utf-8') as f:
                    synth_text = f.read()
            except Exception as e:
                logger.error('Failed to read input file: %s', e)
                raise
        else:
            logger.error('No --text or --file provided for --gemini-multi. Use --text "..." or --file path.')
            raise SystemExit(2)

        logger.info('Running Gemini multi-speaker generation (CLI)')
        out_path, err, provider, tts_used = cb.generate_podcast_episode(synth_text)
        print('Result:', (out_path, err, provider, tts_used))
        raise SystemExit(0)
    else:
        # Auto-run mode: if AUTO_RUN_GEMINI=1 is set in the environment, run a single
        # Gemini multi-speaker generation (useful for CI or scripting) and exit.
        if os.environ.get('AUTO_RUN_GEMINI', '0') in ('1', 'true', 'True'):
            # Load text from PODCAST_TEXT env or from podcast_input.txt if present
            synth_text = os.environ.get('PODCAST_TEXT')
            if not synth_text and os.path.exists('podcast_input.txt'):
                try:
                    with open('podcast_input.txt', 'r', encoding='utf-8') as f:
                        synth_text = f.read()
                except Exception as e:
                    logger.error('Failed to read podcast_input.txt: %s', e)
            if not synth_text:
                logger.error('AUTO_RUN_GEMINI set but no PODCAST_TEXT or podcast_input.txt found.')
                raise SystemExit(2)
            dh = DataHandler()
            cb = GradioCallbacks(dh)
            logger.info('AUTO_RUN_GEMINI: running Gemini multi-speaker generation')
            out_path, err, provider, tts_used = cb.generate_podcast_episode(synth_text)
            print('Result:', (out_path, err, provider, tts_used))
            raise SystemExit(0)

        app = main()
        app.launch(
            share=True,
            server_name="0.0.0.0",
            server_port=7860,
            show_error=True
        )