"""Tests for configuration."""
from pathlib import Path
import pytest
from local_deepwiki.config import Config, get_config, set_config
class TestConfig:
"""Test suite for Config."""
def test_default_config(self):
"""Test default configuration values."""
config = Config()
assert config.embedding.provider == "local"
assert config.llm.provider == "ollama"
assert "python" in config.parsing.languages
assert config.chunking.max_chunk_tokens == 512
def test_embedding_config(self):
"""Test embedding configuration."""
config = Config()
assert config.embedding.local.model == "all-MiniLM-L6-v2"
assert config.embedding.openai.model == "text-embedding-3-small"
def test_llm_config(self):
"""Test LLM configuration."""
config = Config()
assert config.llm.ollama.model == "qwen3-coder:30b"
assert config.llm.ollama.base_url == "http://localhost:11434"
assert config.llm.anthropic.model == "claude-sonnet-4-20250514"
assert config.llm.openai.model == "gpt-4o"
def test_parsing_config(self):
"""Test parsing configuration."""
config = Config()
assert "node_modules/**" in config.parsing.exclude_patterns
assert config.parsing.max_file_size == 1048576
def test_get_wiki_path(self, tmp_path):
"""Test wiki path generation."""
config = Config()
wiki_path = config.get_wiki_path(tmp_path)
assert wiki_path == tmp_path / ".deepwiki"
def test_get_vector_db_path(self, tmp_path):
"""Test vector database path generation."""
config = Config()
db_path = config.get_vector_db_path(tmp_path)
assert db_path == tmp_path / ".deepwiki" / "vectors.lance"
def test_global_config(self):
"""Test global config singleton."""
config1 = get_config()
config2 = get_config()
# Should return the same instance
assert config1 is config2
def test_set_config(self):
"""Test setting global config."""
new_config = Config()
new_config.chunking.max_chunk_tokens = 1024
set_config(new_config)
retrieved = get_config()
assert retrieved.chunking.max_chunk_tokens == 1024
# Reset to default
set_config(Config())
