# ssml_converter.py
"""
SSML (Speech Synthesis Markup Language) Converter
"""

import re
from typing import Dict, Optional
from datetime import datetime
import xml.etree.ElementTree as ET
from xml.sax.saxutils import escape

class SSMLConverter:
    """Convert plain text to SSML format"""
    
    def __init__(self, language: str = "tr-TR"):
        self.language = language
        
    def convert_to_ssml(self, text: str, options: Dict[str, any] = None) -> str:
        """Convert plain text to SSML with smart detection"""
        
        # Create root speak element
        speak = ET.Element("speak")
        speak.set("version", "1.0")
        speak.set("xml:lang", self.language)
        
        # Process text segments
        segments = self._segment_text(text)
        
        for segment in segments:
            if segment["type"] == "plain":
                # Add plain text (escaped)
                if segment["text"].strip():
                    speak.text = (speak.text or "") + escape(segment["text"])
                    
            elif segment["type"] == "number":
                # Add number with say-as
                say_as = ET.SubElement(speak, "say-as")
                say_as.set("interpret-as", "cardinal")
                say_as.text = segment["text"]
                
            elif segment["type"] == "currency":
                # Add currency with say-as
                say_as = ET.SubElement(speak, "say-as")
                say_as.set("interpret-as", "currency")
                say_as.text = segment["text"]
                
            elif segment["type"] == "time":
                # Add time with say-as
                say_as = ET.SubElement(speak, "say-as")
                say_as.set("interpret-as", "time")
                say_as.set("format", "hms24")
                say_as.text = segment["text"]
                
            elif segment["type"] == "date":
                # Add date with say-as
                say_as = ET.SubElement(speak, "say-as")
                say_as.set("interpret-as", "date")
                say_as.set("format", "ymd")
                say_as.text = segment["text"]
                
            elif segment["type"] == "code":
                # Spell out codes
                say_as = ET.SubElement(speak, "say-as")
                say_as.set("interpret-as", "characters")
                say_as.text = segment["text"]
                
            elif segment["type"] == "pause":
                # Add break for punctuation
                break_elem = ET.SubElement(speak, "break")
                break_elem.set("time", segment["duration"])
        
        # Convert to string
        return ET.tostring(speak, encoding='unicode', method='xml')
    
    def _segment_text(self, text: str) -> list:
        """Segment text into different types for SSML processing"""
        segments = []
        
        # Patterns for different content types
        patterns = {
            'currency': r'[₺$€£]\s*\d+(?:[.,]\d+)?|\d+(?:[.,]\d+)?\s*(?:TL|USD|EUR|GBP)',
            'time': r'\b\d{1,2}:\d{2}(?::\d{2})?\b',
            'date': r'\b\d{4}-\d{2}-\d{2}\b|\b\d{1,2}[./]\d{1,2}[./]\d{2,4}\b',
            'code': r'\b[A-Z]{2,5}\d{2,5}\b',
            'number': r'\b\d+(?:[.,]\d+)?\b',
            'pause': r'\.{3}|--'
        }
        
        # Combined pattern
        combined_pattern = '|'.join(f'(?P<{name}>{pattern})' for name, pattern in patterns.items())
        
        last_end = 0
        
        for match in re.finditer(combined_pattern, text):
            # Add text before match
            if match.start() > last_end:
                segments.append({
                    'type': 'plain',
                    'text': text[last_end:match.start()]
                })
            
            # Determine match type and add
            for type_name, group_text in match.groupdict().items():
                if group_text:
                    if type_name == 'pause':
                        segments.append({
                            'type': 'pause',
                            'duration': '500ms' if group_text == '...' else '1s'
                        })
                    else:
                        segments.append({
                            'type': type_name,
                            'text': group_text
                        })
                    break
            
            last_end = match.end()
        
        # Add remaining text
        if last_end < len(text):
            segments.append({
                'type': 'plain',
                'text': text[last_end:]
            })
        
        return segments
    
    def add_emphasis(self, text: str, words: list, level: str = "moderate") -> str:
        """Add emphasis to specific words in SSML"""
        ssml_text = self.convert_to_ssml(text)
        
        # Parse SSML
        root = ET.fromstring(ssml_text)
        
        # Add emphasis to matching words
        for elem in root.iter():
            if elem.text and any(word in elem.text for word in words):
                for word in words:
                    if word in elem.text:
                        # Create emphasis element
                        parts = elem.text.split(word, 1)
                        elem.text = parts[0]
                        
                        emphasis = ET.SubElement(elem, "emphasis")
                        emphasis.set("level", level)
                        emphasis.text = word
                        
                        if len(parts) > 1:
                            emphasis.tail = parts[1]
        
        return ET.tostring(root, encoding='unicode', method='xml')