"""
Text processing service
"""

from typing import List, Optional
from ..utils.file_parser import FileParser, split_text_into_chunks


class TextProcessor:
    """Text processor"""

    @staticmethod
    def extract_from_files(file_paths: List[str]) -> str:
        """Extract text from multiple files"""
        return FileParser.extract_from_multiple(file_paths)

    @staticmethod
    def split_text(text: str, chunk_size: int = 500, overlap: int = 50) -> List[str]:
        """
        Split text

        Args:
            text: Original text
            chunk_size: Chunk size
            overlap: Overlap size

        Returns:
            List of text chunks
        """
        return split_text_into_chunks(text, chunk_size, overlap)

    @staticmethod
    def preprocess_text(text: str) -> str:
        """
        Preprocess text
        - Remove extra whitespace
        - Normalize line breaks

        Args:
            text: Original text

        Returns:
            Processed text
        """
        import re

        # Normalize line breaks
        text = text.replace("\r\n", "\n").replace("\r", "\n")

        # Remove consecutive blank lines (keep at most two newlines)
        text = re.sub(r"\n{3,}", "\n\n", text)

        # Strip leading and trailing whitespace from each line
        lines = [line.strip() for line in text.split("\n")]
        text = "\n".join(lines)

        return text.strip()

    @staticmethod
    def get_text_stats(text: str) -> dict:
        """Get text statistics"""
        return {
            "total_chars": len(text),
            "total_lines": text.count("\n") + 1,
            "total_words": len(text.split()),
        }