"""
Integration tests for KnowledgeIndexNode.

This module provides integration tests for KnowledgeIndexNode with real database interactions.

Note: These tests require database setup and are more complex than unit tests.
For now, we focus on unit tests which provide better coverage for the node logic.
"""

import pytest


class TestKnowledgeIndexNodeIntegration:
    """
    Integration test suite for KnowledgeIndexNode.

    Note: Full integration tests require:
    - Database setup with datasets and documents
    - Vector store for embeddings
    - Model providers for indexing and summarization
    - IndexProcessor and SummaryIndexService implementations

    For now, unit tests provide comprehensive coverage of the node logic.
    """

    @pytest.mark.skip(reason="Integration tests require full database and vector store setup")
    def test_end_to_end_knowledge_index_preview(self):
        """Test end-to-end knowledge index workflow in preview mode."""
        # TODO: Implement with real database
        # 1. Create a dataset
        # 2. Create a document
        # 3. Prepare chunks
        # 4. Run KnowledgeIndexNode in preview mode
        # 5. Verify preview output
        pass

    @pytest.mark.skip(reason="Integration tests require full database and vector store setup")
    def test_end_to_end_knowledge_index_production(self):
        """Test end-to-end knowledge index workflow in production mode."""
        # TODO: Implement with real database
        # 1. Create a dataset
        # 2. Create a document
        # 3. Prepare chunks
        # 4. Run KnowledgeIndexNode in production mode
        # 5. Verify indexing and summary generation
        pass

    @pytest.mark.skip(reason="Integration tests require full database and vector store setup")
    def test_knowledge_index_with_summary_enabled(self):
        """Test knowledge index with summary index setting enabled."""
        # TODO: Implement with real database
        # 1. Create a dataset
        # 2. Create a document
        # 3. Prepare chunks
        # 4. Configure summary index setting
        # 5. Run KnowledgeIndexNode
        # 6. Verify summaries are generated and indexed
        pass

    @pytest.mark.skip(reason="Integration tests require full database and vector store setup")
    def test_knowledge_index_parent_child_structure(self):
        """Test knowledge index with parent-child chunk structure."""
        # TODO: Implement with real database
        # 1. Create a dataset
        # 2. Create a document
        # 3. Prepare parent-child chunks
        # 4. Run KnowledgeIndexNode
        # 5. Verify parent-child indexing
        pass
