import json
import sys
from pathlib import Path
from openpyxl import Workbook
from openpyxl.utils import get_column_letter
from openpyxl.styles import Font
from datetime import datetime

def flatten_card_data(card):
    """
    Flatten a single card's data structure into a dictionary suitable for Excel.
    Handles nested fields and converts lists to comma-separated strings.
    """
    flat_card = {}
    
    # Basic fields
    simple_fields = [
        'id', 'oracle_id', 'name', 'lang', 'released_at', 'uri', 'scryfall_uri',
        'layout', 'highres_image', 'image_status', 'mana_cost', 'cmc', 'type_line',
        'oracle_text', 'power', 'toughness', 'loyalty', 'life_modifier', 'hand_modifier',
        'reserved', 'foil', 'nonfoil', 'oversized', 'promo', 'reprint', 'variation',
        'set_id', 'set', 'set_name', 'set_type', 'set_uri', 'set_search_uri',
        'scryfall_set_uri', 'rulings_uri', 'prints_search_uri', 'collector_number',
        'digital', 'rarity', 'card_back_id', 'artist', 'border_color', 'frame',
        'full_art', 'textless', 'booster', 'story_spotlight', 'edhrec_rank',
        'penny_rank', 'flavor_text', 'watermark', 'printed_name', 'printed_type_line',
        'printed_text', 'security_stamp', 'preview_text', 'content_warning',
        'flavor_name', 'game_changer'
    ]
    
    # Copy simple fields
    for field in simple_fields:
        if field in card:
            flat_card[field] = card[field]
    
    # Handle array fields - convert to comma-separated strings
    array_fields = [
        'multiverse_ids', 'colors', 'color_identity', 'keywords', 'produced_mana',
        'games', 'finishes', 'artist_ids', 'all_parts', 'card_faces', 'related_cards'
    ]
    
    for field in array_fields:
        if field in card:
            if isinstance(card[field], list):
                # Convert list items to strings and join
                flat_card[field] = ', '.join(str(item) for item in card[field])
            else:
                flat_card[field] = card[field]
    
    # Handle MTGO and Arena IDs
    if 'mtgo_id' in card:
        flat_card['mtgo_id'] = card['mtgo_id']
    if 'arena_id' in card:
        flat_card['arena_id'] = card['arena_id']
    if 'tcgplayer_id' in card:
        flat_card['tcgplayer_id'] = card['tcgplayer_id']
    if 'cardmarket_id' in card:
        flat_card['cardmarket_id'] = card['cardmarket_id']
    
    # Handle image_uris (nested dict)
    if 'image_uris' in card and isinstance(card['image_uris'], dict):
        for key, value in card['image_uris'].items():
            flat_card[f'image_uri_{key}'] = value
    
    # Handle legalities (nested dict)
    if 'legalities' in card and isinstance(card['legalities'], dict):
        for format_name, status in card['legalities'].items():
            flat_card[f'legal_{format_name}'] = status
    
    # Handle prices (nested dict)
    if 'prices' in card and isinstance(card['prices'], dict):
        for currency, price in card['prices'].items():
            flat_card[f'price_{currency}'] = price
    
    # Handle related_uris (nested dict)
    if 'related_uris' in card and isinstance(card['related_uris'], dict):
        for uri_type, uri in card['related_uris'].items():
            flat_card[f'uri_{uri_type}'] = uri
    
    # Handle purchase_uris (nested dict)
    if 'purchase_uris' in card and isinstance(card['purchase_uris'], dict):
        for store, uri in card['purchase_uris'].items():
            flat_card[f'purchase_{store}'] = uri
    
    # Handle preview information
    if 'preview' in card and isinstance(card['preview'], dict):
        if 'source' in card['preview']:
            flat_card['preview_source'] = card['preview']['source']
        if 'source_uri' in card['preview']:
            flat_card['preview_source_uri'] = card['preview']['source_uri']
        if 'previewed_at' in card['preview']:
            flat_card['preview_date'] = card['preview']['previewed_at']
    
    return flat_card

def detect_json_format(input_file):
    """
    Detect if the file is NDJSON or JSON array format
    """
    with open(input_file, 'r', encoding='utf-8') as f:
        # Read first few characters
        first_chars = f.read(100).strip()
        if first_chars.startswith('['):
            return 'array'
        elif first_chars.startswith('{'):
            return 'ndjson'
        else:
            # Try to read first line and detect
            f.seek(0)
            first_line = f.readline().strip()
            if first_line.startswith('[') or first_line == '[':
                return 'array'
            else:
                return 'ndjson'

def write_to_excel(cards_data, fieldnames, output_file):
    """
    Write the card data to an Excel file with formatting
    """
    wb = Workbook()
    ws = wb.active
    ws.title = "Magic Cards"
    
    # Write headers with bold formatting
    header_font = Font(bold=True)
    for col, field in enumerate(fieldnames, 1):
        cell = ws.cell(row=1, column=col, value=field)
        cell.font = header_font
    
    # Write data
    print("Writing to Excel file...")
    for row_num, card_data in enumerate(cards_data, 2):
        for col, field in enumerate(fieldnames, 1):
            value = card_data.get(field, '')
            # Excel has a cell character limit of 32,767
            if isinstance(value, str) and len(value) > 32767:
                value = value[:32764] + "..."
            ws.cell(row=row_num, column=col, value=value)
        
        if row_num % 10000 == 0:
            print(f"  Written {row_num - 1:,} cards...")
    
    # Auto-adjust column widths (limited to prevent excessive widths)
    print("Adjusting column widths...")
    for column in ws.columns:
        max_length = 0
        column_letter = get_column_letter(column[0].column)
        
        for cell in column[:100]:  # Check first 100 rows for performance
            try:
                if cell.value:
                    max_length = max(max_length, len(str(cell.value)))
            except:
                pass
        
        adjusted_width = min(max_length + 2, 50)  # Cap at 50 characters
        ws.column_dimensions[column_letter].width = adjusted_width
    
    # Freeze the header row
    ws.freeze_panes = 'A2'
    
    # Enable filters
    ws.auto_filter.ref = ws.dimensions
    
    print("Saving Excel file...")
    wb.save(output_file)
    print(f"Saved {len(cards_data):,} cards to {output_file}")

def process_scryfall_array(input_file, output_file):
    """
    Process a Scryfall JSON array file and convert to Excel.
    """
    print(f"Processing {input_file} (JSON array format)...")
    print("Loading and parsing JSON data (this may take a minute for large files)...")
    
    try:
        with open(input_file, 'r', encoding='utf-8') as f:
            data = json.load(f)
            
        print(f"Loaded {len(data):,} cards")
        
        # Analyze structure
        print("Analyzing card structure...")
        all_fields = set()
        processed_cards = []
        
        for i, card in enumerate(data):
            flat_card = flatten_card_data(card)
            all_fields.update(flat_card.keys())
            processed_cards.append(flat_card)
            if (i + 1) % 10000 == 0:
                print(f"  Analyzed {i + 1:,} cards...")
        
        print(f"Found {len(all_fields)} unique fields")
        fieldnames = sorted(list(all_fields))
        
        # Write to Excel
        write_to_excel(processed_cards, fieldnames, output_file)
        print(f"\nComplete! You can now open {output_file} in LibreOffice Calc or Excel")
        
    except MemoryError:
        print("File too large for memory. The file might be too big to process at once.")
        print("Consider using a streaming JSON parser or processing in chunks.")
        sys.exit(1)
    except json.JSONDecodeError as e:
        print(f"Error parsing JSON: {e}")
        print("The file might be corrupted or not in valid JSON format.")
        sys.exit(1)

def process_scryfall_ndjson(input_file, output_file):
    """
    Process a Scryfall NDJSON file and convert to Excel.
    """
    print(f"Processing {input_file} (NDJSON format)...")
    
    # First pass: collect all possible fields
    print("First pass: Analyzing card structure...")
    all_fields = set()
    cards_processed = 0
    errors = 0
    
    with open(input_file, 'r', encoding='utf-8') as f:
        for line_num, line in enumerate(f, 1):
            line = line.strip()
            if not line:
                continue
                
            try:
                card = json.loads(line)
                flat_card = flatten_card_data(card)
                all_fields.update(flat_card.keys())
                cards_processed += 1
                
                if cards_processed % 10000 == 0:
                    print(f"  Analyzed {cards_processed:,} cards...")
                    
            except json.JSONDecodeError as e:
                errors += 1
                continue
    
    print(f"Found {len(all_fields)} unique fields across {cards_processed:,} cards")
    if errors > 0:
        print(f"  (Skipped {errors} malformed lines)")
    
    fieldnames = sorted(list(all_fields))
    
    # Second pass: collect all data
    print("\nSecond pass: Reading card data...")
    processed_cards = []
    cards_read = 0
    errors = 0
    
    with open(input_file, 'r', encoding='utf-8') as f:
        for line_num, line in enumerate(f, 1):
            line = line.strip()
            if not line:
                continue
                
            try:
                card = json.loads(line)
                flat_card = flatten_card_data(card)
                processed_cards.append(flat_card)
                cards_read += 1
                
                if cards_read % 10000 == 0:
                    print(f"  Read {cards_read:,} cards...")
                    
            except (json.JSONDecodeError, Exception) as e:
                errors += 1
                continue
    
    print(f"Read {cards_read:,} cards successfully")
    if errors > 0:
        print(f"  (Skipped {errors} problematic lines)")
    
    # Write to Excel
    write_to_excel(processed_cards, fieldnames, output_file)
    print(f"\nComplete! You can now open {output_file} in LibreOffice Calc or Excel")

def main():
    """
    Main function to handle command line arguments and run the conversion.
    """
    """
    if len(sys.argv) != 3:
        print("Usage: python scryfall_to_xlsx.py <input_json_file> <output_xlsx_file>")
        print("Example: python scryfall_to_xlsx.py all-cards-20241019.json cards_collection.xlsx")
        sys.exit(1)
    """
    if len(sys.argv) != 2:
        print("Usage: python3 mtg_card_fetcher.py <input_json_file>")
        print("Example: python3 mtg_card_fetcher.py mtg-default-cards-20251018212333.json")
        sys.exit(1)
    
    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')

    input_file = sys.argv[1]
    output_file = f'mtg_cards_{timestamp}.xlsx' # sys.argv[2]
    
    # Validate input file exists
    if not Path(input_file).exists():
        print(f"Error: Input file '{input_file}' not found!")
        sys.exit(1)
    
    # Check output file has xlsx extension
    if not output_file.endswith('.xlsx'):
        print("Warning: Output file should have .xlsx extension")
        response = input("Continue anyway? (y/n): ")
        if response.lower() != 'y':
            sys.exit(0)
    
    # Check file size
    file_size = Path(input_file).stat().st_size / (1024 * 1024)  # Size in MB
    print(f"Input file size: {file_size:.1f} MB")
    
    # Detect format
    print("Detecting file format...")
    format_type = detect_json_format(input_file)
    print(f"Detected format: {format_type.upper()}")
    
    # Warn if output file exists
    if Path(output_file).exists():
        response = input(f"Warning: Output file '{output_file}' already exists. Overwrite? (y/n): ")
        if response.lower() != 'y':
            print("Cancelled.")
            sys.exit(0)
    
    # Check if openpyxl is installed
    try:
        import openpyxl
    except ImportError:
        print("\nError: openpyxl library is required for Excel output.")
        print("Please install it using: pip install openpyxl")
        sys.exit(1)
    
    try:
        if format_type == 'array':
            process_scryfall_array(input_file, output_file)
        else:
            process_scryfall_ndjson(input_file, output_file)
    except KeyboardInterrupt:
        print("\n\nProcess interrupted by user.")
        sys.exit(1)
    except Exception as e:
        print(f"Error processing file: {e}")
        import traceback
        traceback.print_exc()
        sys.exit(1)

if __name__ == "__main__":
    main()