"""
Status utilities for tracking processing progress and resume capability.
"""

import os
from typing import Dict, List, Tuple
import logging

logger = logging.getLogger(__name__)

def get_processing_status(segments_dir: str) -> Dict[str, any]:
    """
    Get detailed processing status for all segments.
    
    Args:
        segments_dir: Directory containing video segments
        
    Returns:
        Dictionary with processing status information
    """
    if not os.path.exists(segments_dir):
        return {
            'total_segments': 0,
            'segments_split': 0,
            'yolo_completed': 0,
            'sam2_completed': 0,
            'can_resume': False,
            'next_step': 'split_video'
        }
    
    # Find all segment directories
    segments = []
    for item in os.listdir(segments_dir):
        item_path = os.path.join(segments_dir, item)
        if os.path.isdir(item_path) and item.startswith("segment_"):
            segments.append(item)
    
    segments.sort(key=lambda x: int(x.split("_")[1]))
    
    # Check status of each segment
    segments_split = 0
    yolo_completed = 0
    sam2_completed = 0
    
    for segment in segments:
        segment_path = os.path.join(segments_dir, segment)
        segment_idx = int(segment.split("_")[1])
        
        # Check if segment video exists
        video_file = os.path.join(segment_path, f"segment_{str(segment_idx).zfill(3)}.mp4")
        if os.path.exists(video_file):
            segments_split += 1
        
        # Check if YOLO detection completed
        yolo_file = os.path.join(segment_path, "yolo_detections")
        if os.path.exists(yolo_file):
            yolo_completed += 1
        
        # Check if SAM2 processing completed
        done_file = os.path.join(segment_path, "output_frames_done")
        if os.path.exists(done_file):
            sam2_completed += 1
    
    # Determine next step
    next_step = "complete"
    if sam2_completed < len(segments):
        next_step = "sam2_processing"
    elif yolo_completed < len(segments):
        next_step = "yolo_detection"
    elif segments_split < len(segments):
        next_step = "split_video"
    
    return {
        'total_segments': len(segments),
        'segments_split': segments_split,
        'yolo_completed': yolo_completed,
        'sam2_completed': sam2_completed,
        'can_resume': segments_split > 0,
        'next_step': next_step,
        'completion_percentage': (sam2_completed / len(segments) * 100) if segments else 0
    }

def print_processing_status(segments_dir: str):
    """
    Print a human-readable processing status report.
    
    Args:
        segments_dir: Directory containing video segments
    """
    status = get_processing_status(segments_dir)
    
    print("\\n" + "="*50)
    print("PROCESSING STATUS REPORT")
    print("="*50)
    print(f"Total Segments: {status['total_segments']}")
    print(f"Video Splitting: {status['segments_split']}/{status['total_segments']} completed")
    print(f"YOLO Detection: {status['yolo_completed']}/{status['total_segments']} completed")
    print(f"SAM2 Processing: {status['sam2_completed']}/{status['total_segments']} completed")
    print(f"Overall Progress: {status['completion_percentage']:.1f}%")
    print(f"Next Step: {status['next_step']}")
    print(f"Can Resume: {'Yes' if status['can_resume'] else 'No'}")
    print("="*50 + "\\n")

def get_incomplete_segments(segments_dir: str) -> List[Tuple[int, str]]:
    """
    Get list of segments that still need processing.
    
    Args:
        segments_dir: Directory containing video segments
        
    Returns:
        List of tuples (segment_index, reason)
    """
    incomplete = []
    
    if not os.path.exists(segments_dir):
        return incomplete
    
    segments = []
    for item in os.listdir(segments_dir):
        item_path = os.path.join(segments_dir, item)
        if os.path.isdir(item_path) and item.startswith("segment_"):
            segments.append(item)
    
    segments.sort(key=lambda x: int(x.split("_")[1]))
    
    for segment in segments:
        segment_path = os.path.join(segments_dir, segment)
        segment_idx = int(segment.split("_")[1])
        
        # Check SAM2 completion first (final step)
        done_file = os.path.join(segment_path, "output_frames_done")
        if not os.path.exists(done_file):
            # Check what step is missing
            yolo_file = os.path.join(segment_path, "yolo_detections")
            video_file = os.path.join(segment_path, f"segment_{str(segment_idx).zfill(3)}.mp4")
            
            if not os.path.exists(video_file):
                incomplete.append((segment_idx, "video_splitting"))
            elif not os.path.exists(yolo_file):
                incomplete.append((segment_idx, "yolo_detection"))
            else:
                incomplete.append((segment_idx, "sam2_processing"))
    
    return incomplete

def cleanup_incomplete_segment(segment_dir: str) -> bool:
    """
    Clean up a partially processed segment for restart.
    
    Args:
        segment_dir: Path to segment directory
        
    Returns:
        True if cleanup was successful
    """
    try:
        # Remove temporary files that might cause issues
        temp_files = [
            "low_res_video.mp4",
            "output_frames_done"
        ]
        
        removed_count = 0
        for temp_file in temp_files:
            temp_path = os.path.join(segment_dir, temp_file)
            if os.path.exists(temp_path):
                os.remove(temp_path)
                removed_count += 1
        
        if removed_count > 0:
            logger.info(f"Cleaned up {removed_count} temporary files from {segment_dir}")
        
        return True
        
    except Exception as e:
        logger.error(f"Failed to cleanup segment {segment_dir}: {e}")
        return False

def find_last_valid_mask(segments_dir: str, before_segment: int) -> str:
    """
    Find the most recent segment with a valid mask file.
    
    Args:
        segments_dir: Directory containing segments
        before_segment: Look for masks before this segment index
        
    Returns:
        Path to the most recent valid mask, or empty string if none found
    """
    for i in range(before_segment - 1, -1, -1):
        segment_path = os.path.join(segments_dir, f"segment_{i}")
        mask_path = os.path.join(segment_path, "mask.png")
        
        if os.path.exists(mask_path):
            return segment_path
    
    return ""