"""Document loader for markdown files - loads RAW markdown to preserve headers."""

from pathlib import Path
from typing import List
from haystack import Document
import logging

logger = logging.getLogger(__name__)


class MarkdownDocumentLoader:
    """Loads markdown documents from a directory, preserving markdown structure."""

    def __init__(self, documents_path: str):
        """
        Initialize the document loader.

        Args:
            documents_path: Path to directory containing markdown files
        """
        self.documents_path = Path(documents_path)

    def load_documents(self) -> List[Document]:
        """
        Load all markdown documents from the configured directory.
        Loads RAW markdown content to preserve headers for semantic chunking.

        Returns:
            List of Haystack Document objects with raw markdown content
        """
        if not self.documents_path.exists():
            raise FileNotFoundError(f"Documents path does not exist: {self.documents_path}")

        documents = []
        markdown_files = list(self.documents_path.glob("*.md"))

        if not markdown_files:
            logger.warning(f"No markdown files found in {self.documents_path}")
            return documents

        logger.info(f"Loading {len(markdown_files)} markdown files from {self.documents_path}")

        for md_file in markdown_files:
            try:
                # Load RAW markdown content (preserving ## headers)
                content = md_file.read_text(encoding='utf-8')

                # Create Haystack Document with metadata
                doc = Document(
                    content=content,
                    meta={
                        "source_file": md_file.name,
                        "file_name": md_file.stem,
                        "file_path": str(md_file),
                    }
                )

                documents.append(doc)
                logger.info(f"Loaded document: {md_file.name}")

            except Exception as e:
                logger.error(f"Error loading {md_file.name}: {e}")
                continue

        logger.info(f"Successfully loaded {len(documents)} documents")
        return documents