#!/usr/bin/env python3
"""
News-Whisper — Unified CLI
============================
Orchestrates the complete pipeline: Scraping → Summarization → Text-to-Speech

This is the main entry point. It dispatches to the correct language-specific
modules based on the --english or --hindi flag.

Usage:
    python main.py --english --category top         # Process top news (English)
    python main.py --english --search "climate"     # Search and process (English)
    python main.py --hindi   --category sports      # Process sports (Hindi)
    python main.py --hindi   --search "पुणे"        # Search and process (Hindi)
    python main.py --english --list                 # List English categories
    python main.py --hindi   --list                 # List Hindi categories

Pipeline Flow:
    English: news_scrape.py → english_summary.py → english_tts.py
    Hindi:   news_scrape.py → hindi_summary.py   → hindi_tts.py
"""

import sys
import os
sys.stdout.reconfigure(encoding='utf-8')
import time
import argparse
from pathlib import Path
from typing import Tuple
from dotenv import load_dotenv

load_dotenv()

# Import shared utilities
from backend.common.colors import Colors, Log
from backend.common.paths import (
    get_project_root, sanitize_query_folder,
    find_latest_json, find_latest_audio_dir
)

import subprocess


# ─────────────────────────────────────────────
#  Language / category definitions
# ─────────────────────────────────────────────

LANGUAGE_CATEGORIES = {
    "english": {
        "top":           "Top News",
        "business":      "Business",
        "entertainment": "Entertainment",
        "sports":        "Sports",
        "lifestyle":     "Lifestyle",
        "technology":    "Technology",
        "elections":     "Elections",
    },
    "hindi": {
        "top":           "Top News",
        "entertainment": "Entertainment",
        "sports":        "Sports",
        "politics":      "Politics",
        "latest":        "Latest News",
        "technology":    "Technology",
        "lifestyle":     "Lifestyle",
        "business":      "Business",
        "world":         "World News",
        "crime":         "Crime",
    },
}

SEARCH_SUPPORTED = {"english", "hindi"}


# ─────────────────────────────────────────────
#  Subprocess runner
# ─────────────────────────────────────────────

def run_module(script_path: Path, args: list, module_name: str) -> Tuple[bool, float]:
    """Run a backend script as a subprocess. Returns (success, elapsed_seconds)."""
    t0 = time.monotonic()
    try:
        Log.info(f"Running {module_name}…")
        subprocess.run(
            [sys.executable, str(script_path)] + args,
            check=True,
        )
        elapsed = time.monotonic() - t0
        Log.info(f"{module_name} finished in {Colors.CYAN}{elapsed:.1f}s{Colors.RESET}")
        return True, elapsed
    except subprocess.CalledProcessError as e:
        elapsed = time.monotonic() - t0
        Log.error(f"{module_name} failed after {elapsed:.1f}s (exit code {e.returncode})")
        return False, elapsed
    except Exception as e:
        Log.error(f"Error running {module_name}: {e}")
        return False, 0.0


# ─────────────────────────────────────────────
#  Pipeline: category
# ─────────────────────────────────────────────

def process_category(language: str, category: str, no_dedup: bool = False) -> bool:
    project_root = get_project_root()

    # New modular script paths
    scraper_script         = project_root / "backend" / "web_scraping"    / "news_scrape.py"
    english_summary_script = project_root / "backend" / "summarization"   / "english_summary.py"
    hindi_summary_script   = project_root / "backend" / "summarization"   / "hindi_summary.py"
    english_tts_script     = project_root / "backend" / "text_to_speech"  / "english_tts.py"
    hindi_tts_script       = project_root / "backend" / "text_to_speech"  / "hindi_tts.py"

    articles_dir   = project_root / "articles"
    summarized_dir = project_root / "summarized-articles"
    audios_dir     = project_root / "audios"

    categories     = LANGUAGE_CATEGORIES[language]
    category_name  = categories.get(category, category)

    Log.header(f"NEWS-WHISPER PIPELINE [{language.upper()}]: {category_name}")
    pipeline_start = time.monotonic()
    step_times: dict = {}

    # ── Step 1: Scrape ────────────────────────────────────────────────────────
    Log.section("STEP 1: Web Scraping")
    ok, elapsed = run_module(
        scraper_script,
        [f"--{language}", "--category", category],
        "Web Scraper",
    )
    step_times["Scraping"] = elapsed
    if not ok:
        Log.error("Web scraping failed. Aborting.")
        return False

    scraped_dir        = articles_dir / language / "categories" / category_name.lower().replace(" ", "_")
    latest_scraped_json = find_latest_json(scraped_dir)
    if not latest_scraped_json:
        Log.error(f"No scraped articles found in {scraped_dir}")
        return False
    Log.success(f"Scraped articles: {latest_scraped_json}")

    # ── Branch: Language Pipelines ────────────────────────────────────────────
    if language == "hindi":
        # ── Step 2: Hindi Summarization ────────────────────────────────────────
        Log.section("STEP 2: Hindi Summarization (mT5 + Groq)")
        cmd_args = ["--file", str(latest_scraped_json)]
        if no_dedup: cmd_args.append("--no-dedup")

        ok, elapsed = run_module(hindi_summary_script, cmd_args, "Hindi Summarizer")
        step_times["Summarization"] = elapsed
        if not ok:
            Log.error("Hindi summarization failed.")
            return False

        # Find the summarized JSON
        summarized_dir_cat = summarized_dir / language / "categories" / category_name.lower().replace(" ", "_")
        latest_summarized_json = find_latest_json(summarized_dir_cat)
        if not latest_summarized_json:
            Log.error(f"No summarized articles found in {summarized_dir_cat}")
            return False
        Log.success(f"Summarized articles: {latest_summarized_json}")

        # ── Step 3: Hindi TTS ──────────────────────────────────────────────────
        Log.section("STEP 3: Hindi TTS (gTTS + FFmpeg)")
        ok, elapsed = run_module(
            hindi_tts_script,
            ["--file", str(latest_summarized_json)],
            "Hindi TTS",
        )
        step_times["TTS"] = elapsed
        if not ok:
            Log.error("Hindi TTS generation failed.")
            return False

    else:
        # ── Step 2: English Summarization ──────────────────────────────────────
        Log.section("STEP 2: Article Summarization")
        cmd_args = ["--file", str(latest_scraped_json)]
        if no_dedup: cmd_args.append("--no-dedup")

        ok, elapsed = run_module(english_summary_script, cmd_args, "English Summarizer")
        step_times["Summarization"] = elapsed
        if not ok:
            Log.error("Summarization failed. Aborting.")
            return False

        summarized_dir_cat   = summarized_dir / language / "categories" / category_name.lower().replace(" ", "_")
        latest_summarized_json = find_latest_json(summarized_dir_cat)
        if not latest_summarized_json:
            Log.error(f"No summarized articles found in {summarized_dir_cat}")
            return False
        Log.success(f"Summarized articles: {latest_summarized_json}")

        # ── Step 3: English TTS ────────────────────────────────────────────────
        Log.section("STEP 3: Text-to-Speech Generation")
        ok, elapsed = run_module(
            english_tts_script,
            ["--file", str(latest_summarized_json)],
            "English TTS",
        )
        step_times["TTS"] = elapsed
        if not ok:
            Log.error("TTS generation failed.")
            return False

    # ── Timing summary ────────────────────────────────────────────────────────
    total = time.monotonic() - pipeline_start
    Log.header("PIPELINE COMPLETED SUCCESSFULLY!")
    print(f"{Colors.BOLD}  Timing breakdown:{Colors.RESET}")
    for step, t in step_times.items():
        print(f"    {Colors.GREEN}•{Colors.RESET} {step:<25} {Colors.CYAN}{t:.1f}s{Colors.RESET}")
    print(f"    {'─' * 35}")
    print(f"    {Colors.BOLD}Total{Colors.RESET}{'':21} {Colors.BOLD}{Colors.CYAN}{total:.1f}s{Colors.RESET}\n")

    latest_audio_dir = find_latest_audio_dir(audios_dir / language, category_name)
    if latest_audio_dir:
        audio_files = list(latest_audio_dir.glob("*.mp3")) + list(latest_audio_dir.glob("*.wav"))
        Log.success(f"Generated {len(audio_files)} audio files")
        Log.info(f"Output directory: {Colors.CYAN}{latest_audio_dir}{Colors.RESET}")

    return True


# ─────────────────────────────────────────────
#  Pipeline: search
# ─────────────────────────────────────────────

def process_search(language: str, query: str, no_dedup: bool = False, pages: int = 1) -> bool:
    if language not in SEARCH_SUPPORTED:
        Log.error(f"--search is not supported for --{language}")
        return False

    project_root = get_project_root()

    scraper_script         = project_root / "backend" / "web_scraping"    / "news_scrape.py"
    english_summary_script = project_root / "backend" / "summarization"   / "english_summary.py"
    hindi_summary_script   = project_root / "backend" / "summarization"   / "hindi_summary.py"
    english_tts_script     = project_root / "backend" / "text_to_speech"  / "english_tts.py"
    hindi_tts_script       = project_root / "backend" / "text_to_speech"  / "hindi_tts.py"

    articles_dir   = project_root / "articles"
    summarized_dir = project_root / "summarized-articles"
    audios_dir     = project_root / "audios"

    safe_query = sanitize_query_folder(query)

    Log.header(f"NEWS-WHISPER PIPELINE [{language.upper()}]: Search '{query}'")
    pipeline_start = time.monotonic()
    step_times: dict = {}

    # ── Step 1: Scrape ────────────────────────────────────────────────────────
    Log.section("STEP 1/3: Web Scraping")
    ok, elapsed = run_module(
        scraper_script,
        [f"--{language}", "--search", query, "--pages", str(max(1, pages))],
        "Web Scraper",
    )
    step_times["Scraping"] = elapsed
    if not ok:
        Log.error("Web scraping failed. Aborting.")
        return False

    scraped_dir        = articles_dir / language / "search_queries" / safe_query
    latest_scraped_json = find_latest_json(scraped_dir)
    if not latest_scraped_json:
        Log.error(f"No scraped articles found in {scraped_dir}")
        return False
    Log.success(f"Scraped articles: {latest_scraped_json}")

    if language == "hindi":
        # ── Step 2: Hindi Summarization ─────────────────────────────────────
        Log.section("STEP 2/3: Hindi Summarization (mT5 + Groq)")
        cmd_args = ["--file", str(latest_scraped_json)]
        if no_dedup: cmd_args.append("--no-dedup")

        ok, elapsed = run_module(hindi_summary_script, cmd_args, "Hindi Summarizer")
        step_times["Summarization"] = elapsed
        if not ok:
            Log.error("Hindi summarization failed.")
            return False

        summarized_dir_q = summarized_dir / language / "search_queries" / safe_query
        latest_summarized_json = find_latest_json(summarized_dir_q)
        if not latest_summarized_json:
            Log.error(f"No summarized articles found in {summarized_dir_q}")
            return False
        Log.success(f"Summarized articles: {latest_summarized_json}")

        # ── Step 3: Hindi TTS ───────────────────────────────────────────────
        Log.section("STEP 3/3: Hindi TTS (gTTS + FFmpeg)")
        ok, elapsed = run_module(
            hindi_tts_script,
            ["--file", str(latest_summarized_json)],
            "Hindi TTS",
        )
        step_times["TTS"] = elapsed
        if not ok:
            Log.error("Hindi TTS generation failed.")
            return False
    else:
        # ── Step 2: English Summarization ────────────────────────────────────
        Log.section("STEP 2/3: Article Summarization")
        cmd_args = ["--file", str(latest_scraped_json)]
        if no_dedup: cmd_args.append("--no-dedup")

        ok, elapsed = run_module(english_summary_script, cmd_args, "English Summarizer")
        step_times["Summarization"] = elapsed
        if not ok:
            Log.error("Summarization failed. Aborting.")
            return False

        summarized_dir_q     = summarized_dir / language / "search_queries" / safe_query
        latest_summarized_json = find_latest_json(summarized_dir_q)
        if not latest_summarized_json:
            Log.error(f"No summarized articles found in {summarized_dir_q}")
            return False
        Log.success(f"Summarized articles: {latest_summarized_json}")

        # ── Step 3: English TTS ──────────────────────────────────────────────
        Log.section("STEP 3/3: Text-to-Speech Generation")
        ok, elapsed = run_module(
            english_tts_script,
            ["--file", str(latest_summarized_json)],
            "English TTS",
        )
        step_times["TTS"] = elapsed
        if not ok:
            Log.error("TTS generation failed.")
            return False

    # ── Timing summary ────────────────────────────────────────────────────────
    total = time.monotonic() - pipeline_start
    Log.header("PIPELINE COMPLETED SUCCESSFULLY!")
    print(f"{Colors.BOLD}  Timing breakdown:{Colors.RESET}")
    for step, t in step_times.items():
        print(f"    {Colors.GREEN}•{Colors.RESET} {step:<25} {Colors.CYAN}{t:.1f}s{Colors.RESET}")
    print(f"    {'─' * 35}")
    print(f"    {Colors.BOLD}Total{Colors.RESET}{'':21} {Colors.BOLD}{Colors.CYAN}{total:.1f}s{Colors.RESET}\n")

    search_audio_dir = audios_dir / language / "search_queries" / safe_query
    if search_audio_dir.exists():
        audio_files = list(search_audio_dir.glob("**/*.mp3")) + list(search_audio_dir.glob("**/*.wav"))
        Log.success(f"Generated {len(audio_files)} audio files")
        Log.info(f"Output directory: {Colors.CYAN}{search_audio_dir}{Colors.RESET}")

    return True


# ─────────────────────────────────────────────
#  Display helpers
# ─────────────────────────────────────────────

def list_categories(language: str):
    categories = LANGUAGE_CATEGORIES[language]
    Log.header(f"Available Categories [{language.upper()}]")
    for key, name in categories.items():
        print(f"  {Colors.GREEN}•{Colors.RESET} {Colors.BOLD}{key:15}{Colors.RESET} {name}")
    print(f"\n{Colors.DIM}Usage: python main.py --{language} --category <name>{Colors.RESET}\n")


def show_usage():
    print(f"""
{Colors.BOLD}{Colors.CYAN}News-Whisper — Unified CLI{Colors.RESET}

{Colors.BOLD}Description:{Colors.RESET}
    Complete pipeline: Scraping → Summarization → Text-to-Speech
    A language flag (--english or --hindi) is always required.

{Colors.BOLD}Usage:{Colors.RESET}
    python main.py --english --list
    python main.py --english --category <name>
    python main.py --english --search "query"
    python main.py --hindi   --search "पुणे"
    python main.py --hindi   --search "पुणे" --pages 3
    python main.py --hindi   --list
    python main.py --hindi   --category <name>

{Colors.BOLD}Examples:{Colors.RESET}
    python main.py --english --category top
    python main.py --english --category sports
    python main.py --english --search "climate change"
    python main.py --hindi   --search "पुणे"
    python main.py --english --search "pune" --pages 3
    python main.py --hindi   --category sports
    python main.py --hindi   --category politics

{Colors.BOLD}Notes:{Colors.RESET}
    • --search is available for both --english and --hindi
    • --pages / --page applies to search only and defaults to 1
    • Hindi supports extra categories: politics, latest, world, crime
    • Add --no-dedup to skip checking the Supabase registry for previously processed articles

{Colors.BOLD}Environment:{Colors.RESET}
    Device: {Colors.CYAN}{os.getenv('DEVICE', 'cpu').upper()}{Colors.RESET}   Max Workers: {Colors.CYAN}{os.getenv('MAX_WORKERS', '4')}{Colors.RESET}
""")


# ─────────────────────────────────────────────
#  Entry point
# ─────────────────────────────────────────────

def main():
    language   = None
    clean_args = []

    for arg in sys.argv[1:]:
        key = arg.lstrip("-").lower()
        if key in LANGUAGE_CATEGORIES:
            language = key
        else:
            clean_args.append(arg)

    if not sys.argv[1:]:
        show_usage()
        sys.exit(0)

    if language is None:
        Log.error("A language flag is required: --english or --hindi")
        show_usage()
        sys.exit(1)

    parser = argparse.ArgumentParser(add_help=False)
    group  = parser.add_mutually_exclusive_group()
    group.add_argument('--list',     action='store_true')
    group.add_argument('--category', '-c', type=str)
    group.add_argument('--search',   '-s', type=str, nargs='+')
    parser.add_argument('--pages', '--page', type=int, default=1, help="Number of search result pages to scan")
    parser.add_argument('--no-dedup', action='store_true', help="Skip Supabase deduplication")
    parser.add_argument('--help', '-h', action='store_true')

    args = parser.parse_args(clean_args)

    if args.help or not clean_args:
        show_usage()
        sys.exit(0)

    if args.pages < 1:
        Log.error("--pages must be at least 1")
        sys.exit(1)

    Log.info(f"Language   : {Colors.CYAN}{language.upper()}{Colors.RESET}")
    Log.info(f"Device     : {Colors.CYAN}{os.getenv('DEVICE', 'cpu').upper()}{Colors.RESET}")
    Log.info(f"Max Workers: {Colors.CYAN}{os.getenv('MAX_WORKERS', '4')}{Colors.RESET}")

    if args.list:
        list_categories(language)
        sys.exit(0)

    if args.category:
        category = args.category.lower()
        if category not in LANGUAGE_CATEGORIES[language]:
            Log.warning(f"'{category}' is not a predefined category for --{language}. Proceeding anyway.")
        success = process_category(language, category, no_dedup=args.no_dedup)
        sys.exit(0 if success else 1)

    if args.search:
        query   = " ".join(args.search)
        success = process_search(language, query, no_dedup=args.no_dedup, pages=args.pages)
        sys.exit(0 if success else 1)

    show_usage()
    sys.exit(0)


if __name__ == "__main__":
    try:
        main()
    except KeyboardInterrupt:
        print(f"\n\n{Colors.YELLOW}Pipeline cancelled by user.{Colors.RESET}\n")
        sys.exit(0)
    except Exception as e:
        Log.error(f"Critical error: {str(e)}")
        raise