"""
Content Stream Parser Module

Provides functionality for extracting and analyzing PDF content stream operators,
correlating them with visual blocks.
"""

import re
from typing import Dict, List, Optional, Any, Tuple
import fitz  # PyMuPDF


def extract_content_stream_for_block(
    pdf_path: str,
    page_index: int,
    block_index: int,
    blocks: List[Any]
) -> Dict[str, Any]:
    """
    Extract content stream operators for a specific block.

    Args:
        pdf_path: Path to the PDF file
        page_index: 0-based page index
        block_index: Index of the block to analyze
        blocks: List of BlockInfo objects from extract_blocks_spans

    Returns:
        Dictionary with operators, raw stream, and metadata
    """
    if block_index < 0 or block_index >= len(blocks):
        return {
            'error': 'Invalid block index',
            'operators': [],
            'raw_stream': ''
        }

    target_block = blocks[block_index]

    try:
        doc = fitz.open(pdf_path)
        page = doc[page_index]

        # Clean and consolidate content streams
        page.clean_contents()

        # Get the page's content stream xref
        xref = page.get_contents()[0]  # Get first content stream xref

        # Extract raw stream data
        stream_data = doc.xref_stream(xref)
        try:
            raw_stream = stream_data.decode('latin-1')
        except:
            raw_stream = stream_data.decode('utf-8', errors='ignore')

        # Parse text objects from the stream
        text_objects = _parse_text_objects(raw_stream)

        # Find the text object that matches our target block
        matching_object = _find_matching_text_object(text_objects, target_block)

        doc.close()

        if matching_object:
            return {
                'operators': matching_object['operators'],
                'raw_stream': raw_stream,
                'matched': True,
                'block_text': target_block.text[:100]
            }
        else:
            return {
                'operators': [],
                'raw_stream': raw_stream,
                'matched': False,
                'block_text': target_block.text[:100],
                'message': 'Could not find matching text object in content stream'
            }

    except Exception as e:
        return {
            'error': str(e),
            'operators': [],
            'raw_stream': ''
        }


def _parse_text_objects(content_stream: str) -> List[Dict[str, Any]]:
    """
    Parse text objects (BT...ET blocks) from content stream.

    Args:
        content_stream: Raw PDF content stream text

    Returns:
        List of text objects with their operators
    """
    text_objects = []

    # Find all BT...ET blocks
    bt_et_pattern = r'BT\s+(.*?)\s+ET'
    matches = re.finditer(bt_et_pattern, content_stream, re.DOTALL)

    for match in matches:
        text_block = match.group(1)
        operators = _parse_operators(text_block)
        text_objects.append({
            'operators': operators,
            'text': _extract_text_from_operators(operators)
        })

    return text_objects


def _parse_operators(text_block: str) -> List[Dict[str, str]]:
    """
    Parse individual operators from a text block.

    Args:
        text_block: Text between BT and ET

    Returns:
        List of operator dictionaries with type and value
    """
    operators = []

    # Text matrix (Tm)
    tm_pattern = r'([\d.\-\s]+)\s+Tm'
    for match in re.finditer(tm_pattern, text_block):
        operators.append({
            'type': 'Tm',
            'value': match.group(1).strip(),
            'description': 'Text Matrix'
        })

    # Font (Tf)
    tf_pattern = r'/(\S+)\s+([\d.]+)\s+Tf'
    for match in re.finditer(tf_pattern, text_block):
        operators.append({
            'type': 'Tf',
            'value': f'/{match.group(1)} {match.group(2)}',
            'description': f'Font: {match.group(1)}, Size: {match.group(2)}'
        })

    # Text positioning (Td, TD)
    td_pattern = r'([\d.\-]+)\s+([\d.\-]+)\s+T[dD]'
    for match in re.finditer(td_pattern, text_block):
        operators.append({
            'type': 'Td',
            'value': f'{match.group(1)} {match.group(2)}',
            'description': f'Move text position ({match.group(1)}, {match.group(2)})'
        })

    # Text showing (Tj)
    tj_pattern = r'\((.*?)\)\s*Tj'
    for match in re.finditer(tj_pattern, text_block):
        text = match.group(1)
        operators.append({
            'type': 'Tj',
            'value': f'({text})',
            'description': f'Show text: {text[:50]}'
        })

    # Text showing (TJ - array)
    tj_array_pattern = r'\[(.*?)\]\s*TJ'
    for match in re.finditer(tj_array_pattern, text_block, re.DOTALL):
        array_content = match.group(1)
        operators.append({
            'type': 'TJ',
            'value': f'[{array_content[:100]}]',
            'description': 'Show text array'
        })

    # Text leading (TL)
    tl_pattern = r'([\d.\-]+)\s+TL'
    for match in re.finditer(tl_pattern, text_block):
        operators.append({
            'type': 'TL',
            'value': match.group(1),
            'description': f'Text leading: {match.group(1)}'
        })

    # Color operators (rg, RG, g, G)
    color_pattern = r'([\d.\s]+)\s+(rg|RG|g|G)'
    for match in re.finditer(color_pattern, text_block):
        operators.append({
            'type': match.group(2),
            'value': match.group(1).strip(),
            'description': f'Color: {match.group(1).strip()}'
        })

    return operators


def _extract_text_from_operators(operators: List[Dict[str, str]]) -> str:
    """
    Extract visible text from operator list.

    Args:
        operators: List of operator dictionaries

    Returns:
        Concatenated text content
    """
    text_parts = []

    for op in operators:
        if op['type'] in ['Tj', 'TJ']:
            # Extract text from parentheses or array
            value = op['value']
            # Simple extraction - just get content in parentheses
            matches = re.findall(r'\((.*?)\)', value)
            text_parts.extend(matches)

    return ' '.join(text_parts)


def _find_matching_text_object(
    text_objects: List[Dict[str, Any]],
    target_block: Any
) -> Optional[Dict[str, Any]]:
    """
    Find the text object that best matches the target block.

    Args:
        text_objects: List of parsed text objects
        target_block: BlockInfo object to match

    Returns:
        Matching text object or None
    """
    target_text = target_block.text.strip()
    if not target_text:
        return None

    best_match = None
    best_score = 0

    for text_obj in text_objects:
        obj_text = text_obj['text'].strip()
        if not obj_text:
            continue

        # Calculate similarity score (simple substring matching)
        # Check if either text contains the other
        if target_text in obj_text or obj_text in target_text:
            score = min(len(target_text), len(obj_text)) / max(len(target_text), len(obj_text))
            if score > best_score:
                best_score = score
                best_match = text_obj

    # Only return match if score is reasonable
    if best_score > 0.3:
        return best_match

    return None


def format_operators_markdown(result: Dict[str, Any]) -> str:
    """
    Format operators as readable Markdown.

    Args:
        result: Result dictionary from extract_content_stream_for_block

    Returns:
        Formatted Markdown string
    """
    if 'error' in result:
        return f"## Error\n\n{result['error']}"

    lines = [
        "## Content Stream Operators",
        "",
        f"**Block Text**: {result.get('block_text', 'N/A')}",
        ""
    ]

    if not result.get('matched'):
        lines.extend([
            "⚠️ **Warning**: Could not find exact matching text object in content stream.",
            "",
            result.get('message', ''),
            ""
        ])

    operators = result.get('operators', [])
    if operators:
        lines.extend([
            "### Operators Found",
            ""
        ])

        for i, op in enumerate(operators, 1):
            lines.append(f"**{i}. {op['type']}**")
            lines.append(f"   - Value: `{op['value']}`")
            lines.append(f"   - {op['description']}")
            lines.append("")
    else:
        lines.append("No operators found.")

    return "\n".join(lines)


def format_raw_stream(raw_stream: str, max_lines: int = 100) -> str:
    """
    Format raw content stream for display.

    Args:
        raw_stream: Raw PDF content stream text
        max_lines: Maximum number of lines to display

    Returns:
        Formatted string
    """
    lines = raw_stream.split('\n')
    if len(lines) > max_lines:
        lines = lines[:max_lines]
        lines.append(f"\n... (truncated, {len(raw_stream.split('\n')) - max_lines} more lines)")

    return '\n'.join(lines)