"""
Main pipeline orchestrator for Feed Generator.

Run with: python scripts/run.py
"""

from __future__ import annotations

import logging
import sys
from pathlib import Path

# Add project root to path
sys.path.insert(0, str(Path(__file__).parent.parent))

from src.aggregator import ContentAggregator
from src.article_client import ArticleAPIClient
from src.config import Config
from src.exceptions import (
    APIClientError,
    ConfigurationError,
    ImageAnalysisError,
    PublishingError,
    ScrapingError,
)
from src.image_analyzer import ImageAnalyzer
from src.publisher import FeedPublisher
from src.scraper import NewsScraper

logger = logging.getLogger(__name__)


def setup_logging(log_level: str) -> None:
    """Setup logging configuration.

    Args:
        log_level: Logging level (DEBUG, INFO, WARNING, ERROR)
    """
    logging.basicConfig(
        level=getattr(logging, log_level.upper()),
        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
        handlers=[
            logging.StreamHandler(sys.stdout),
            logging.FileHandler("feed_generator.log"),
        ],
    )


def run_pipeline(config: Config) -> None:
    """Execute complete feed generation pipeline.

    Args:
        config: Configuration object

    Raises:
        Various exceptions if pipeline fails
    """
    logger.info("=" * 60)
    logger.info("Starting Feed Generator Pipeline")
    logger.info("=" * 60)

    # 1. Initialize components
    logger.info("Initializing components...")
    scraper = NewsScraper(config.scraper)
    analyzer = ImageAnalyzer(config.api.openai_key)
    aggregator = ContentAggregator()
    client = ArticleAPIClient(config.api.node_api_url, config.api.timeout_seconds)
    publisher = FeedPublisher(config.publisher.output_dir)
    logger.info("Components initialized successfully")

    # 2. Scrape news sources
    logger.info("=" * 60)
    logger.info("Stage 1: Scraping news sources")
    logger.info("=" * 60)
    try:
        articles = scraper.scrape_all()
        logger.info(f"✓ Scraped {len(articles)} articles")
        if not articles:
            logger.error("No articles scraped, exiting")
            return
    except ScrapingError as e:
        logger.error(f"✗ Scraping failed: {e}")
        return

    # 3. Analyze images
    logger.info("=" * 60)
    logger.info("Stage 2: Analyzing images")
    logger.info("=" * 60)
    try:
        analyses = analyzer.analyze_batch(articles)
        logger.info(f"✓ Analyzed {len(analyses)} images")
    except ImageAnalysisError as e:
        logger.warning(f"⚠ Image analysis failed: {e}, proceeding without images")
        analyses = {}

    # 4. Aggregate content
    logger.info("=" * 60)
    logger.info("Stage 3: Aggregating content")
    logger.info("=" * 60)
    aggregated = aggregator.aggregate(articles, analyses)
    logger.info(f"✓ Aggregated {len(aggregated)} items")

    # 5. Generate articles
    logger.info("=" * 60)
    logger.info("Stage 4: Generating articles")
    logger.info("=" * 60)
    try:
        prompts = [item.to_generation_prompt() for item in aggregated]
        original_news_list = [item.news for item in aggregated]
        generated = client.generate_batch(prompts, original_news_list)
        logger.info(f"✓ Generated {len(generated)} articles")
        if not generated:
            logger.error("No articles generated, exiting")
            return
    except APIClientError as e:
        logger.error(f"✗ Article generation failed: {e}")
        return

    # 6. Publish
    logger.info("=" * 60)
    logger.info("Stage 5: Publishing")
    logger.info("=" * 60)
    try:
        rss_path, json_path = publisher.publish_all(generated)
        logger.info(f"✓ Published RSS to: {rss_path}")
        logger.info(f"✓ Published JSON to: {json_path}")
    except PublishingError as e:
        logger.error(f"✗ Publishing failed: {e}")
        # Try to save to backup location
        try:
            backup_dir = Path("backup")
            backup_publisher = FeedPublisher(backup_dir)
            backup_json = backup_publisher.publish_json(generated)
            logger.warning(f"⚠ Saved backup to: {backup_json}")
        except Exception as backup_error:
            logger.error(f"✗ Backup also failed: {backup_error}")
        return

    # Success!
    logger.info("=" * 60)
    logger.info("Pipeline completed successfully!")
    logger.info(f"Total articles processed: {len(generated)}")
    logger.info("=" * 60)


def main() -> None:
    """Main entry point."""
    try:
        # Load configuration
        config = Config.from_env()

        # Setup logging
        setup_logging(config.log_level)

        # Run pipeline
        run_pipeline(config)

    except ConfigurationError as e:
        print(f"Configuration error: {e}", file=sys.stderr)
        sys.exit(1)
    except KeyboardInterrupt:
        logger.info("Pipeline interrupted by user")
        sys.exit(130)
    except Exception as e:
        logger.exception(f"Unexpected error: {e}")
        sys.exit(1)


if __name__ == "__main__":
    main()