"""Pytest configuration and shared fixtures for Library Desk tests."""

import pytest
import pytest_asyncio
from typing import AsyncGenerator

# Test configuration
pytest_plugins = ("pytest_asyncio",)


@pytest.fixture
def test_user() -> str:
    """Default test user."""
    return "test_user"


@pytest.fixture
def neo4j_test_uri() -> str:
    """Test Neo4j URI."""
    return "bolt://neo4j:7687"


@pytest.fixture
def neo4j_test_auth() -> tuple:
    """Test Neo4j authentication."""
    return ("neo4j", "test_password")


@pytest.fixture
def qdrant_test_url() -> str:
    """Test Qdrant URL."""
    return "http://qdrant:6333"


@pytest.fixture
def wikijs_test_config() -> dict:
    """Test Wiki.js configuration."""
    return {
        "base_url": "http://wiki:3000",
        "api_key": "test_api_key"
    }


@pytest.fixture
def searxng_test_url() -> str:
    """Test SearXNG URL."""
    return "http://searxng:8080"


@pytest.fixture
def ollama_test_config() -> dict:
    """Test Ollama configuration."""
    return {
        "base_url": "http://ollama:11434",
        "model": "nomic-embed-text"
    }


@pytest.fixture
def redis_test_url() -> str:
    """Test Redis URL."""
    return "redis://redis-shared:6379/4"


@pytest.fixture
def sample_document() -> dict:
    """Sample document for testing."""
    return {
        "id": "test_doc_1",
        "title": "Test Document",
        "content": "This is a test document for unit testing.",
        "metadata": {
            "source": "test",
            "author": "test_user"
        }
    }


@pytest.fixture
def sample_chunks() -> list:
    """Sample document chunks for testing."""
    return [
        {
            "content": "First chunk of text.",
            "metadata": {"chunk_index": 0}
        },
        {
            "content": "Second chunk of text.",
            "metadata": {"chunk_index": 1}
        },
        {
            "content": "Third chunk of text.",
            "metadata": {"chunk_index": 2}
        }
    ]


@pytest.fixture
def sample_embeddings() -> list:
    """Sample embeddings for testing (768-dimensional for nomic-embed-text)."""
    import random
    random.seed(42)  # Reproducible embeddings

    # Generate 3 sample 768-dimensional embeddings
    return [
        [random.random() for _ in range(768)],
        [random.random() for _ in range(768)],
        [random.random() for _ in range(768)]
    ]