import json

from haiku.rag.store.models.document import Document
from haiku.rag.store.repositories.base import BaseRepository


class DocumentRepository(BaseRepository[Document]):
    """Repository for Document database operations."""

    def __init__(self, store, chunk_repository=None):
        super().__init__(store)
        # Avoid circular import by using late import if not provided
        if chunk_repository is None:
            from haiku.rag.store.repositories.chunk import ChunkRepository

            chunk_repository = ChunkRepository(store)
        self.chunk_repository = chunk_repository

    async def create(self, entity: Document) -> Document:
        """Create a document with its chunks and embeddings."""
        if self.store._connection is None:
            raise ValueError("Store connection is not available")

        cursor = self.store._connection.cursor()

        # Start transaction
        cursor.execute("BEGIN TRANSACTION")

        try:
            # Insert the document
            cursor.execute(
                """
                INSERT INTO documents (content, metadata, created_at, updated_at)
                VALUES (?, ?, ?, ?)
                """,
                (
                    entity.content,
                    json.dumps(entity.metadata),
                    entity.created_at,
                    entity.updated_at,
                ),
            )

            document_id = cursor.lastrowid
            assert document_id is not None, "Failed to create document in database"
            entity.id = document_id

            # Create chunks and embeddings using ChunkRepository
            await self.chunk_repository.create_chunks_for_document(
                document_id, entity.content, commit=False
            )

            cursor.execute("COMMIT")
            return entity

        except Exception:
            cursor.execute("ROLLBACK")
            raise

    async def get_by_id(self, entity_id: int) -> Document | None:
        """Get a document by its ID."""
        if self.store._connection is None:
            raise ValueError("Store connection is not available")

        cursor = self.store._connection.cursor()
        cursor.execute(
            """
            SELECT id, content, metadata, created_at, updated_at
            FROM documents WHERE id = ?
            """,
            (entity_id,),
        )

        row = cursor.fetchone()
        if row is None:
            return None

        document_id, content, metadata_json, created_at, updated_at = row
        metadata = json.loads(metadata_json) if metadata_json else {}

        return Document(
            id=document_id,
            content=content,
            metadata=metadata,
            created_at=created_at,
            updated_at=updated_at,
        )

    async def update(self, entity: Document) -> Document:
        """Update an existing document and regenerate its chunks and embeddings."""
        if self.store._connection is None:
            raise ValueError("Store connection is not available")
        if entity.id is None:
            raise ValueError("Document ID is required for update")

        cursor = self.store._connection.cursor()

        # Start transaction
        cursor.execute("BEGIN TRANSACTION")

        try:
            # Update the document
            cursor.execute(
                """
                UPDATE documents
                SET content = ?, metadata = ?, updated_at = ?
                WHERE id = ?
                """,
                (
                    entity.content,
                    json.dumps(entity.metadata),
                    entity.updated_at,
                    entity.id,
                ),
            )

            # Delete existing chunks and regenerate using ChunkRepository
            await self.chunk_repository.delete_by_document_id(entity.id, commit=False)
            await self.chunk_repository.create_chunks_for_document(
                entity.id, entity.content, commit=False
            )

            cursor.execute("COMMIT")
            return entity

        except Exception:
            cursor.execute("ROLLBACK")
            raise

    async def delete(self, entity_id: int) -> bool:
        """Delete a document and all its associated chunks and embeddings."""
        # Delete chunks and embeddings first
        await self.chunk_repository.delete_by_document_id(entity_id)

        if self.store._connection is None:
            raise ValueError("Store connection is not available")

        cursor = self.store._connection.cursor()
        cursor.execute("DELETE FROM documents WHERE id = ?", (entity_id,))

        deleted = cursor.rowcount > 0
        self.store._connection.commit()
        return deleted

    async def list_all(
        self, limit: int | None = None, offset: int | None = None
    ) -> list[Document]:
        """List all documents with optional pagination."""
        if self.store._connection is None:
            raise ValueError("Store connection is not available")

        cursor = self.store._connection.cursor()
        query = "SELECT id, content, metadata, created_at, updated_at FROM documents ORDER BY created_at DESC"
        params = []

        if limit is not None:
            query += " LIMIT ?"
            params.append(limit)

        if offset is not None:
            query += " OFFSET ?"
            params.append(offset)

        cursor.execute(query, params)
        rows = cursor.fetchall()

        documents = []
        for row in rows:
            document_id, content, metadata_json, created_at, updated_at = row
            metadata = json.loads(metadata_json) if metadata_json else {}
            documents.append(
                Document(
                    id=document_id,
                    content=content,
                    metadata=metadata,
                    created_at=created_at,
                    updated_at=updated_at,
                )
            )

        return documents