#!/usr/bin/env python3
"""
Command-line interface for NLProxy compression operations.
Enterprise-ready, async-compatible, and fully tested.

Author: IntelliDeep Labs Team
License: BSL 1.1
"""
from __future__ import annotations

import argparse
import asyncio
import json
import logging
import os
import sys
import textwrap
import time
from pathlib import Path
from typing import Any, Dict, List, Optional

try:
    from rich.console import Console
    from rich.table import Table
    _RICH_AVAILABLE = True
except ImportError:
    _RICH_AVAILABLE = False
    Console = None

from nlproxy.core.restriction import Restriction
from nlproxy.service.compression import CompressionService

logger = logging.getLogger(__name__)


# =============================================================================
# CLI UTILITIES
# =============================================================================

def setup_logging(level: str = "INFO") -> None:
    numeric_level = getattr(logging, level.upper(), logging.INFO)
    logging.basicConfig(
        level=numeric_level,
        format="%(asctime)s [%(levelname)-8s] %(message)s",
        datefmt="%H:%M:%S",
        stream=sys.stderr,
    )


def print_output(data: Any, format: str = "text", output_file: Optional[str] = None, quiet: bool = False) -> None:
    if quiet and format == "text":
        return
    dest = sys.stdout
    if output_file and output_file != "-":
        dest = open(output_file, "w", encoding="utf-8")
    try:
        if format == "json":
            json.dump(data, dest, indent=2, default=str)
            dest.write("\n")
        elif format == "jsonl":
            if isinstance(data, list):
                for item in data: dest.write(json.dumps(item, default=str) + "\n")
            else:
                dest.write(json.dumps(data, default=str) + "\n")
        else:
            if isinstance(data, dict):
                for k, v in data.items(): dest.write(f"{k}: {v}\n")
            elif isinstance(data, list):
                for item in data: dest.write(f"{item}\n")
            else:
                dest.write(str(data) + ("\n" if not str(data).endswith("\n") else ""))
    finally:
        if output_file and output_file != "-":
            dest.close()


def error_exit(message: str, code: int = 1, quiet: bool = False) -> None:
    if not quiet:
        if _RICH_AVAILABLE and Console: Console(stderr=True).print(f"[bold red]Error:[/bold red] {message}")
        else: print(f"Error: {message}", file=sys.stderr)
    sys.exit(code)


def success_exit(message: Optional[str] = None, quiet: bool = False) -> None:
    if message and not quiet:
        if _RICH_AVAILABLE and Console: Console().print(f"[bold green]✓[/bold green] {message}")
        else: print(f"✓ {message}")
    sys.exit(0)


# =============================================================================
# COMMAND: compress
# =============================================================================

def cmd_compress(args: argparse.Namespace) -> None:
    setup_logging(args.log_level)
    input_texts: List[str] = []

    # 1. Resolve Input
    if args.batch:
        src = args.input_file if args.input_file else "-"
        if src == "-":
            input_texts = [line.strip() for line in sys.stdin if line.strip()]
        else:
            with open(src, "r", encoding="utf-8") as f:
                input_texts = [line.strip() for line in f if line.strip()]
    else:
        if args.input_file:
            if args.input_file == "-":
                input_texts = [sys.stdin.read().strip()]
            else:
                with open(args.input_file, "r", encoding="utf-8") as f:
                    input_texts = [f.read().strip()]
        elif args.input_text:
            input_texts = [args.input_text]
        else:
            txt = sys.stdin.read().strip()
            if not txt: error_exit("No input provided. Use --input, --input-text, or pipe to stdin.")
            input_texts = [txt]

    if not input_texts:
        error_exit("No prompts to process.")

    if not args.quiet:
        logger.info(f"Initializing CompressionService (mode={args.mode})...")

    # 2. Initialize Service
    try:
        service = CompressionService(
            use_cache=not args.no_cache,
            redis_url=args.redis_url or os.getenv("NLPROXY_REDIS_URL"),
            privacy_mode=args.privacy_mode,
            models_dir=Path(args.models_dir) if args.models_dir else None,
        )
    except Exception as e:
        error_exit(f"Failed to initialize CompressionService: {e}")

    # 3. Parse Manual Restrictions
    manual_restrictions: Optional[List[Restriction]] = None
    if args.restrictions:
        try:
            restrictions_data = json.loads(args.restrictions)
            manual_restrictions = [Restriction(**r) for r in restrictions_data]
        except (json.JSONDecodeError, TypeError) as e:
            error_exit(f"Invalid restrictions JSON: {e}")

    # 4. Execute Compression
    results: List[Dict[str, Any]] = []
    start_time = time.time()
    if not args.quiet and len(input_texts) > 1:
        logger.info(f"Processing {len(input_texts)} prompts...")

    try:
        results = asyncio.run(
            asyncio.wait_for(
                service.compress_batch_async(
                    texts=input_texts,
                    aggressiveness=args.aggressiveness,
                    mode=args.mode,
                    nli_active=args.nli_active,
                    language=args.language,
                    privacy_mode=args.privacy_mode,
                ),
                timeout=args.timeout,
            )
        )
    except asyncio.TimeoutError:
        error_exit(f"Compression timed out after {args.timeout}s")
    except Exception as e:
        error_exit(f"Compression failed: {e}")

    elapsed = time.time() - start_time

    # 5. Format Output
    if args.format == "text" and not args.batch:
        output = results[0]["compressed_text"]
    elif args.format == "text" and args.batch:
        output = [r["compressed_text"] for r in results]
    else:
        output = results if (args.batch or args.format == "jsonl") else results[0]
        if isinstance(output, dict):
            output["_processing_time_ms"] = round(elapsed * 1000, 2)
            output["_prompts_processed"] = len(results)

    print_output(output, format=args.format, output_file=args.output_file, quiet=args.quiet)

    # 6. Summary
    if not args.quiet:
        if _RICH_AVAILABLE and Console:
            console = Console()
            table = Table(title="NLProxy Compression Summary", show_lines=True)
            table.add_column("Metric", style="cyan")
            table.add_column("Value", style="green")
            total_orig = sum(r.get("original_tokens", 0) for r in results)
            total_comp = sum(r.get("compressed_tokens", 0) for r in results)
            avg_ratio = sum(r.get("compression_ratio", 0) for r in results) / len(results) if results else 0
            table.add_row("Prompts processed", str(len(results)))
            table.add_row("Total tokens (original)", f"{total_orig:,}")
            table.add_row("Total tokens (compressed)", f"{total_comp:,}")
            table.add_row("Tokens saved", f"{total_orig - total_comp:,} ({avg_ratio:.1%} avg)")
            table.add_row("Processing time", f"{elapsed:.2f}s")
            table.add_row("Avg latency/prompt", f"{(elapsed / len(results) * 1000):.1f}ms" if results else "N/A")
            console.print(table)
        else:
            print(f"\nProcessed {len(results)} prompt(s) in {elapsed:.2f}s", file=sys.stderr)

    success_exit(quiet=args.quiet)


# =============================================================================
# PARSER (NO SUBPARSERS - FLAT STRUCTURE)
# =============================================================================

def create_parser() -> argparse.ArgumentParser:
    parser = argparse.ArgumentParser(
        prog="nlproxy compress",
        description="Compress prompt(s) using NLProxy's semantic pipeline.",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog=textwrap.dedent("""
            Examples:
              nlproxy compress --input prueba.txt --output result.txt
              nlproxy compress --input-text "Hola mundo" --mode code
              cat prompts.txt | nlproxy compress --batch --format jsonl
        """),
    )

    # Input/Output (type=str avoids TextIOWrapper errors)
    parser.add_argument("-i", "--input-text", type=str, help="Direct prompt text")
    parser.add_argument("-f", "--input-file", "--input", type=str, dest="input_file", help="Path to input file (use '-' for stdin)")
    parser.add_argument("-o", "--output-file", "--output", type=str, dest="output_file", help="Path to output file (use '-' for stdout)")
    
    # Core Flags
    parser.add_argument("--format", type=str, choices=["text", "json", "jsonl"], default="text", help="Output format")
    parser.add_argument("-b", "--batch", action="store_true", help="Process multiple prompts (one per line)")
    parser.add_argument("-a", "--aggressiveness", type=float, default=0.2, metavar="FLOAT", help="Compression aggressiveness: 0.0 to 1.0")
    parser.add_argument("-m", "--mode", type=str, choices=["general", "code", "finance", "legal"], default=os.getenv("NLPROXY_DEFAULT_MODE", "general"), help="Domain mode")
    parser.add_argument("--nli-active", action="store_true", help="Enable NLI-based semantic refinement")
    parser.add_argument("-l", "--language", type=str, help="Language code for segmentation")
    parser.add_argument("-p", "--privacy-mode", action="store_true", help="Enable strict PII handling")
    parser.add_argument("--no-cache", action="store_true", help="Disable result caching")
    parser.add_argument("--restrictions", type=str, help='JSON list of manual restrictions')
    parser.add_argument("-t", "--timeout", type=int, default=60, metavar="SECONDS", help="Timeout per prompt in seconds")
    
    # Global Pass-through
    parser.add_argument("-v", "--verbose", action="store_const", const="DEBUG", dest="log_level", default="INFO", help="Enable verbose logging")
    parser.add_argument("-q", "--quiet", action="store_true", help="Suppress non-essential output")
    parser.add_argument("--redis-url", type=str, help="Redis URL for caching")
    parser.add_argument("--models-dir", type=str, help="Directory containing pre-downloaded models")
    
    return parser


def main(argv: Optional[List[str]] = None) -> int:
    parser = create_parser()
    args = parser.parse_args(argv)
    try:
        cmd_compress(args)
        return 0
    except KeyboardInterrupt:
        error_exit("Interrupted by user", code=130, quiet=getattr(args, "quiet", False))
    except BrokenPipeError:
        sys.stderr.close()
        return 0
    except Exception as e:
        error_exit(str(e), quiet=getattr(args, "quiet", False))
        return 1


if __name__ == "__main__":
    sys.exit(main())