import re
import html
import json
from typing import Dict, List, Tuple, Optional, Any, Union

class ContextProcessor:
    """Processes highlighted contexts for the RAG Summarizer Arena"""
    
    # Common HTML entities that might be incomplete
    INCOMPLETE_ENTITIES = {
        '&#x27': ''', 
        '&quot': '"', 
        '&lt': '<', 
        '&gt': '>', 
        '&amp': '&'
    }
    
    @staticmethod
    def clean_text(text: str) -> str:
        """Cleans text by fixing HTML entities and handling escaped characters"""
        if not text or not isinstance(text, str):
            return text
        
        # Fix incomplete HTML entities
        for incomplete, complete in ContextProcessor.INCOMPLETE_ENTITIES.items():
            text = re.sub(f"{re.escape(incomplete)}(?!;)", complete, text)
        
        # Convert HTML entities to characters
        try:
            text = html.unescape(text)
        except Exception:
            pass
        
        # Handle escaped quotes and special characters
        replacements = {
            r'\"': '"', r"\'": "'", r"\n": "\n", r"\t": "\t", r"\\": "\\",
            '"': '"', '"': '"', ''': "'", ''': "'", '`': "'", '´': "'"
        }
        for pattern, replacement in replacements.items():
            text = text.replace(pattern, replacement)
        
        # Remove trailing backslash if present
        if text.rstrip().endswith('\\'):
            text = text.rstrip().rstrip('\\')
        
        return text
    
    @staticmethod
    def balance_highlight_tags(text: str) -> str:
        """Ensures highlight tags are properly balanced"""
        if not text or not isinstance(text, str):
            return text
            
        # Define highlight tag patterns
        highlight_pairs = [
            ('[[start_highlight]]', '[[end_highlight]]'),
            ('[[highlight_start]]', '[[highlight_end]]'),
            ('<span class="highlight">', '</span>')
        ]
        
        # Check and balance each pair
        for start_tag, end_tag in highlight_pairs:
            start_count = text.count(start_tag)
            end_count = text.count(end_tag)
            
            # Add missing tags if needed
            if start_count > end_count:
                text += end_tag * (start_count - end_count)
            elif end_count > start_count:
                text = start_tag * (end_count - start_count) + text
        
        return text
    
    @staticmethod
    def balance_quotes(text: str) -> str:
        """Ensures quotes are properly balanced"""
        if not text or not isinstance(text, str):
            return text
        
        # First, remove escaped quotes from the count
        plain_text = text.replace('\\"', '')
        
        # Count quotes and balance if needed
        quote_count = plain_text.count('"')
        if quote_count % 2 == 1:
            text += '"'
        
        return text
    
    @staticmethod
    def extract_highlight_parts(text: str) -> List[Tuple[bool, str]]:
        """
        Extracts highlighted and non-highlighted parts from text, preserving order
        """
        # Ensure highlight tags are balanced
        text = ContextProcessor.balance_highlight_tags(text)
        
        # Define all highlight patterns
        highlight_patterns = [
            ('[[start_highlight]]', '[[end_highlight]]'),
            ('[[highlight_start]]', '[[highlight_end]]'),
            ('<span class="highlight">', '</span>')
        ]
        
        # Collect all highlight sections with their positions
        all_highlights = []
        
        for start_tag, end_tag in highlight_patterns:
            # Escape special regex characters if needed
            start_esc = re.escape(start_tag)
            end_esc = re.escape(end_tag)
            
            # Find all occurrences of this highlight pattern
            for match in re.finditer(f"{start_esc}(.*?){end_esc}", text, re.DOTALL):
                all_highlights.append({
                    'start': match.start(),
                    'end': match.end(),
                    'content': match.group(1),
                    'start_tag': start_tag,
                    'end_tag': end_tag
                })
        
        # If no highlights found, return the whole text as unhighlighted
        if not all_highlights:
            return [(False, text)]
        
        # Sort highlights by start position
        all_highlights.sort(key=lambda x: x['start'])
        
        # Build the parts list by processing text portions between and including highlights
        parts = []
        current_pos = 0
        
        for highlight in all_highlights:
            # Add non-highlighted text before this highlight
            if highlight['start'] > current_pos:
                parts.append((False, text[current_pos:highlight['start']]))
            
            # Add the highlighted text
            parts.append((True, highlight['content']))
            
            # Update position to end of this highlight
            current_pos = highlight['end']
        
        # Add any remaining text after the last highlight
        if current_pos < len(text):
            parts.append((False, text[current_pos:]))
        
        return parts
    
    @staticmethod
    def is_markdown_table(text: str) -> bool:
        """Checks if text looks like a markdown table"""
        if not text or not isinstance(text, str):
            return False
        
        if '|' in text and '\n' in text:
            lines = text.strip().split('\n')
            pipe_lines = sum(1 for line in lines if line.strip().startswith('|'))
            return pipe_lines >= 2
        
        return False
    
    @staticmethod
    def process_cell_content(cell_text: str) -> str:
        """Processes a single table cell, handling highlights if present"""
        # Clean and prepare the text
        cell_text = ContextProcessor.clean_text(cell_text)
        cell_text = ContextProcessor.balance_quotes(cell_text)
        
        # Check if cell has any highlight tags
        has_highlights = False
        highlight_patterns = [
            '[[start_highlight]]', '[[end_highlight]]',
            '[[highlight_start]]', '[[highlight_end]]',
            '<span class="highlight">', '</span>'
        ]
        
        for pattern in highlight_patterns:
            if pattern in cell_text:
                has_highlights = True
                break
        
        if has_highlights:
            # Extract and process highlight parts
            parts = ContextProcessor.extract_highlight_parts(cell_text)
            
            # Build the result
            result = ""
            for is_highlighted, part in parts:
                if is_highlighted:
                    result += f'<span class="highlight">{html.escape(part)}</span>'
                else:
                    result += html.escape(part)
                    
            return result
        else:
            # Just escape HTML in regular cells
            return html.escape(cell_text)
    
    @staticmethod
    def convert_table_to_html(text: str) -> str:
        """Converts markdown table to HTML with support for highlights in cells"""
        # Clean the text
        text = ContextProcessor.clean_text(text)
        
        # Split into lines and get table rows
        lines = text.strip().split('\n')
        table_lines = [line for line in lines if line.strip().startswith('|')]
        
        # Check if it's a proper table
        if len(table_lines) < 2:
            return ContextProcessor.process_text(text)
        
        # Check if second line is a separator (----)
        has_header = False
        if len(table_lines) >= 2 and '---' in table_lines[1]:
            has_header = True
        
        # Start building HTML table
        html_output = '<table class="md-table">'
        
        if has_header:
            # Process header row
            header_line = table_lines[0]
            # Split by pipe and remove empty first and last elements
            cells = [cell.strip() for cell in header_line.split('|')]
            if cells and not cells[0]:
                cells.pop(0)
            if cells and not cells[-1]:
                cells.pop()
            
            html_output += '<thead><tr>'
            for cell in cells:
                cell_html = ContextProcessor.process_cell_content(cell)
                html_output += f'<th>{cell_html}</th>'
            html_output += '</tr></thead>'
            
            # Process data rows (skip header and separator)
            html_output += '<tbody>'
            for line in table_lines[2:]:
                cells = [cell.strip() for cell in line.split('|')]
                if cells and not cells[0]:
                    cells.pop(0)
                if cells and not cells[-1]:
                    cells.pop()
                
                html_output += '<tr>'
                for cell in cells:
                    cell_html = ContextProcessor.process_cell_content(cell)
                    html_output += f'<td>{cell_html}</td>'
                html_output += '</tr>'
            html_output += '</tbody>'
        else:
            # All rows are data
            html_output += '<tbody>'
            for line in table_lines:
                cells = [cell.strip() for cell in line.split('|')]
                if cells and not cells[0]:
                    cells.pop(0)
                if cells and not cells[-1]:
                    cells.pop()
                
                html_output += '<tr>'
                for cell in cells:
                    cell_html = ContextProcessor.process_cell_content(cell)
                    html_output += f'<td>{cell_html}</td>'
                html_output += '</tr>'
            html_output += '</tbody>'
        
        html_output += '</table>'
        return html_output
    
    @staticmethod
    def process_text(text: str) -> str:
        """Processes text with highlights, handling all edge cases"""
        # Clean and prepare the text
        text = ContextProcessor.clean_text(text)
        text = ContextProcessor.balance_quotes(text)
        text = ContextProcessor.balance_highlight_tags(text)
        
        # Extract and process highlight parts
        parts = ContextProcessor.extract_highlight_parts(text)
        
        # Build the result
        result = ""
        for is_highlighted, part in parts:
            if is_highlighted:
                escaped_part = html.escape(part)
                result += f'<span class="highlight">{escaped_part}</span>'
            else:
                result += html.escape(part)
        
        return result
    
    @staticmethod
    def process_content(content: str, abbreviated_content: Optional[str] = None) -> str:
        """Main function to process any kind of content"""
        # Handle null/empty content
        if not content or not isinstance(content, str):
            return ""
        
        # Special cases that need abbreviated content
        special_cases = [
            lambda c: c.strip() == "In Oklahoma,",
            lambda c: c.strip().startswith('"') and c.count('"') == 1,
            lambda c: c.rstrip().endswith('\\'),
            lambda c: (c.replace('\\"', '').count('"') % 2) == 1,
            lambda c: any((c.count(start) != c.count(end)) for start, end in [
                ('[[start_highlight]]', '[[end_highlight]]'),
                ('[[highlight_start]]', '[[highlight_end]]'),
                ('<span class="highlight">', '</span>')
            ])
        ]
        
        # Check if we need to use abbreviated content
        needs_abbreviated = any(check(content) for check in special_cases)
        
        # If content needs help and we have abbreviated content, use it
        if needs_abbreviated and abbreviated_content:
            # Handle abbreviated content that might be a JSON string
            if abbreviated_content.strip().startswith('{') and abbreviated_content.strip().endswith('}'):
                try:
                    data = json.loads(abbreviated_content)
                    if "abbreviatedContent" in data:
                        abbreviated_content = data["abbreviatedContent"]
                except json.JSONDecodeError:
                    pass
                    
            # Clean and prepare the abbreviated content
            abbreviated_content = ContextProcessor.clean_text(abbreviated_content)
            abbreviated_content = ContextProcessor.balance_quotes(abbreviated_content)
            abbreviated_content = ContextProcessor.balance_highlight_tags(abbreviated_content)
            
            # Use abbreviated content instead
            content = abbreviated_content
        
        # Check if content is a markdown table
        if ContextProcessor.is_markdown_table(content):
            return ContextProcessor.convert_table_to_html(content)
        else:
            return ContextProcessor.process_text(content)
    
    @staticmethod
    def parse_json_contexts(context_json: str) -> List[Dict[str, Any]]:
        """Parses JSON-formatted context data with fallback to regex extraction"""
        contexts = []
        
        # First try standard JSON parsing
        try:
            contexts = json.loads(context_json)
            if not isinstance(contexts, list):
                contexts = []
        except json.JSONDecodeError:
            # If standard parsing fails, use regex to extract the data
            try:
                # Extract type field
                type_pattern = r'"type":\s*"(primary|secondary)"'
                types = re.findall(type_pattern, context_json)
                
                # Extract abbreviatedContent field - more robustly handle quotes
                content_pattern = r'"abbreviatedContent":\s*"((?:\\.|[^"])*?)"'
                contents = re.findall(content_pattern, context_json)
                
                # Build context objects
                for i, (ctx_type, content) in enumerate(zip(types, contents)):
                    contexts.append({
                        'type': ctx_type,
                        'abbreviatedContent': content.replace('\\"', '"')
                    })
            except Exception as e:
                print(f"Error extracting contexts with regex: {e}")
        
        return contexts
    
    @staticmethod
    def process_json_contexts(context_json: str) -> List[Dict[str, Any]]:
        """Process JSON-formatted highlighted contexts"""
        processed_contexts = []
        
        try:
            # Parse the JSON contexts
            contexts = ContextProcessor.parse_json_contexts(context_json)
                
            # Process each context item
            for i, item in enumerate(contexts):
                if isinstance(item, dict):
                    context_type = item.get('type', 'secondary')
                    content = item.get('abbreviatedContent', '')
                    
                    # Process the content
                    processed_content = ContextProcessor.process_content(content)
                    
                    # Create processed context item
                    processed_contexts.append({
                        'chunk_num': i + 1,
                        'content': processed_content,
                        'is_primary': context_type == 'primary'
                    })
        except Exception as e:
            print(f"Error processing JSON contexts: {e}")
        
        return processed_contexts


# Module-level functions for backward compatibility
def clean_text(text):
    return ContextProcessor.clean_text(text)

def balance_highlight_tags(text):
    return ContextProcessor.balance_highlight_tags(text)

def balance_quotes(text):
    return ContextProcessor.balance_quotes(text)

def extract_highlight_parts(text):
    return ContextProcessor.extract_highlight_parts(text)

def is_markdown_table(text):
    return ContextProcessor.is_markdown_table(text)

def process_cell_content(cell_text):
    return ContextProcessor.process_cell_content(cell_text)

def convert_table_to_html(text):
    return ContextProcessor.convert_table_to_html(text)

def process_text(text):
    return ContextProcessor.process_text(text)

def process_content(content, abbreviated_content=None):
    return ContextProcessor.process_content(content, abbreviated_content)

def process_highlights(text):
    """Main entry point called from data_loader.py"""
    return ContextProcessor.process_content(text)

def get_context_html(example, show_full=False):
    """Format context chunks into HTML for display"""
    html_output = ""

    # Process insufficient context warning if needed
    if example.get("insufficient", False):
        insufficient_reason = example.get("insufficient_reason", "")
        reason_html = (
            f"<p>{insufficient_reason}</p>" if insufficient_reason else 
            "<p>The context may not contain enough information to fully answer the question, "
            "or the question might be ambiguous. Models should ideally indicate this limitation "
            "or refuse to answer.</p>"
        )
        
        html_output += f"""
        <div class="insufficient-alert">
            <strong>
                <svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" 
                     stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" 
                     style="vertical-align: middle; margin-right: 5px;">
                    <path d="m21.73 18-8-14a2 2 0 0 0-3.48 0l-8 14A2 2 0 0 0 4 21h16a2 2 0 0 0 1.73-3Z"></path>
                    <line x1="12" y1="9" x2="12" y2="13"></line>
                    <line x1="12" y1="17" x2="12.01" y2="17"></line>
                </svg>
                Insufficient Context
            </strong>
            {reason_html}
        </div>
        """

    html_output += '<div class="context-items-container">'
    
    # Display full contexts if requested
    if show_full and "full_contexts" in example and example["full_contexts"]:
        for context_item in example["full_contexts"]:
            content = context_item.get('content', '')
            abbreviated = context_item.get('abbreviatedContent', None)
            
            # Process the content
            processed = ContextProcessor.process_content(content, abbreviated)
            
            html_output += f'<div class="context-item">{processed}</div>'
    else:
        # Display regular contexts if available
        if "contexts" in example and example["contexts"]:
            for context_item in example["contexts"]:
                content = context_item.get('content', '')
                abbreviated = context_item.get('abbreviatedContent', None)
                
                # Process the content
                processed = ContextProcessor.process_content(content, abbreviated)
                
                is_primary = context_item.get('is_primary', False)
                extra_class = " primary-context" if is_primary else ""
                
                html_output += f'<div class="context-item{extra_class}">{processed}</div>'
                
        # Or process JSON-structured highlighted contexts
        elif "contexts_highlighted" in example and example["contexts_highlighted"]:
            processed_contexts = ContextProcessor.process_json_contexts(example["contexts_highlighted"])
            
            for context_item in processed_contexts:
                is_primary = context_item.get('is_primary', False)
                extra_class = " primary-context" if is_primary else ""
                
                html_output += f'<div class="context-item{extra_class}">{context_item["content"]}</div>'
        else:
            html_output += '<div class="context-item">No context available. Try toggling to full context view.</div>'
    
    html_output += '</div>'

    return html_output