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Add comprehensive tests for tokenizer, performance benchmarks, and TreeSitter parser functionality

Browse Source 
- Implemented unit tests for the Tokenizer class, covering various text inputs, edge cases, and fallback mechanisms.
- Created performance benchmarks comparing tiktoken and pure Python implementations for token counting.
- Developed extensive tests for TreeSitterSymbolParser across Python, JavaScript, and TypeScript, ensuring accurate symbol extraction and parsing.
- Added configuration documentation for MCP integration and custom prompts, enhancing usability and flexibility.
- Introduced a refactor script for GraphAnalyzer to streamline future improvements.
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catlog22
2025-12-15 14:36:09 +08:00
parent 82dcafff00
commit 0fe16963cd
49 changed files with 9307 additions and 438 deletions
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656
codex-lens/tests/test_chain_search_engine.py Normal file
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"""Unit tests for ChainSearchEngine.
Tests the graph query methods (search_callers, search_callees, search_inheritance)
with mocked SQLiteStore dependency to test logic in isolation.
"""
import pytest
from pathlib import Path
from unittest.mock import Mock, MagicMock, patch, call
from concurrent.futures import ThreadPoolExecutor
from codexlens.search.chain_search import (
ChainSearchEngine,
SearchOptions,
SearchStats,
ChainSearchResult,
)
from codexlens.entities import SearchResult, Symbol
from codexlens.storage.registry import RegistryStore, DirMapping
from codexlens.storage.path_mapper import PathMapper
@pytest.fixture
def mock_registry():
"""Create a mock RegistryStore."""
registry = Mock(spec=RegistryStore)
return registry
@pytest.fixture
def mock_mapper():
"""Create a mock PathMapper."""
mapper = Mock(spec=PathMapper)
return mapper
@pytest.fixture
def search_engine(mock_registry, mock_mapper):
"""Create a ChainSearchEngine with mocked dependencies."""
return ChainSearchEngine(mock_registry, mock_mapper, max_workers=2)
@pytest.fixture
def sample_index_path():
"""Sample index database path."""
return Path("/test/project/_index.db")
class TestChainSearchEngineCallers:
"""Tests for search_callers method."""
def test_search_callers_returns_relationships(self, search_engine, mock_registry, sample_index_path):
"""Test that search_callers returns caller relationships."""
# Setup
source_path = Path("/test/project")
target_symbol = "my_function"
# Mock finding the start index
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
# Mock collect_index_paths to return single index
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
# Mock the parallel search to return caller data
expected_callers = [
{
"source_symbol": "caller_function",
"target_symbol": "my_function",
"relationship_type": "calls",
"source_line": 42,
"source_file": "/test/project/module.py",
"target_file": "/test/project/lib.py",
}
]
with patch.object(search_engine, '_search_callers_parallel', return_value=expected_callers):
# Execute
result = search_engine.search_callers(target_symbol, source_path)
# Assert
assert len(result) == 1
assert result[0]["source_symbol"] == "caller_function"
assert result[0]["target_symbol"] == "my_function"
assert result[0]["relationship_type"] == "calls"
assert result[0]["source_line"] == 42
def test_search_callers_empty_results(self, search_engine, mock_registry, sample_index_path):
"""Test that search_callers handles no results gracefully."""
# Setup
source_path = Path("/test/project")
target_symbol = "nonexistent_function"
# Mock finding the start index
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
# Mock collect_index_paths
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
# Mock empty results
with patch.object(search_engine, '_search_callers_parallel', return_value=[]):
# Execute
result = search_engine.search_callers(target_symbol, source_path)
# Assert
assert result == []
def test_search_callers_no_index_found(self, search_engine, mock_registry):
"""Test that search_callers returns empty list when no index found."""
# Setup
source_path = Path("/test/project")
target_symbol = "my_function"
# Mock no index found
mock_registry.find_nearest_index.return_value = None
with patch.object(search_engine, '_find_start_index', return_value=None):
# Execute
result = search_engine.search_callers(target_symbol, source_path)
# Assert
assert result == []
def test_search_callers_uses_options(self, search_engine, mock_registry, mock_mapper, sample_index_path):
"""Test that search_callers respects SearchOptions."""
# Setup
source_path = Path("/test/project")
target_symbol = "my_function"
options = SearchOptions(depth=1, total_limit=50)
# Configure mapper to return a path that exists
mock_mapper.source_to_index_db.return_value = sample_index_path
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]) as mock_collect:
with patch.object(search_engine, '_search_callers_parallel', return_value=[]) as mock_search:
# Patch Path.exists to return True so the exact match is found
with patch.object(Path, 'exists', return_value=True):
# Execute
search_engine.search_callers(target_symbol, source_path, options)
# Assert that depth was passed to collect_index_paths
mock_collect.assert_called_once_with(sample_index_path, 1)
# Assert that total_limit was passed to parallel search
mock_search.assert_called_once_with([sample_index_path], target_symbol, 50)
class TestChainSearchEngineCallees:
"""Tests for search_callees method."""
def test_search_callees_returns_relationships(self, search_engine, mock_registry, sample_index_path):
"""Test that search_callees returns callee relationships."""
# Setup
source_path = Path("/test/project")
source_symbol = "caller_function"
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
expected_callees = [
{
"source_symbol": "caller_function",
"target_symbol": "callee_function",
"relationship_type": "calls",
"source_line": 15,
"source_file": "/test/project/module.py",
"target_file": "/test/project/lib.py",
}
]
with patch.object(search_engine, '_search_callees_parallel', return_value=expected_callees):
# Execute
result = search_engine.search_callees(source_symbol, source_path)
# Assert
assert len(result) == 1
assert result[0]["source_symbol"] == "caller_function"
assert result[0]["target_symbol"] == "callee_function"
assert result[0]["source_line"] == 15
def test_search_callees_filters_by_file(self, search_engine, mock_registry, sample_index_path):
"""Test that search_callees correctly handles file-specific queries."""
# Setup
source_path = Path("/test/project")
source_symbol = "MyClass.method"
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
# Multiple callees from same source symbol
expected_callees = [
{
"source_symbol": "MyClass.method",
"target_symbol": "helper_a",
"relationship_type": "calls",
"source_line": 10,
"source_file": "/test/project/module.py",
"target_file": "/test/project/utils.py",
},
{
"source_symbol": "MyClass.method",
"target_symbol": "helper_b",
"relationship_type": "calls",
"source_line": 20,
"source_file": "/test/project/module.py",
"target_file": "/test/project/utils.py",
}
]
with patch.object(search_engine, '_search_callees_parallel', return_value=expected_callees):
# Execute
result = search_engine.search_callees(source_symbol, source_path)
# Assert
assert len(result) == 2
assert result[0]["target_symbol"] == "helper_a"
assert result[1]["target_symbol"] == "helper_b"
def test_search_callees_empty_results(self, search_engine, mock_registry, sample_index_path):
"""Test that search_callees handles no callees gracefully."""
source_path = Path("/test/project")
source_symbol = "leaf_function"
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
with patch.object(search_engine, '_search_callees_parallel', return_value=[]):
# Execute
result = search_engine.search_callees(source_symbol, source_path)
# Assert
assert result == []
class TestChainSearchEngineInheritance:
"""Tests for search_inheritance method."""
def test_search_inheritance_returns_inherits_relationships(self, search_engine, mock_registry, sample_index_path):
"""Test that search_inheritance returns inheritance relationships."""
# Setup
source_path = Path("/test/project")
class_name = "BaseClass"
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
expected_inheritance = [
{
"source_symbol": "DerivedClass",
"target_symbol": "BaseClass",
"relationship_type": "inherits",
"source_line": 5,
"source_file": "/test/project/derived.py",
"target_file": "/test/project/base.py",
}
]
with patch.object(search_engine, '_search_inheritance_parallel', return_value=expected_inheritance):
# Execute
result = search_engine.search_inheritance(class_name, source_path)
# Assert
assert len(result) == 1
assert result[0]["source_symbol"] == "DerivedClass"
assert result[0]["target_symbol"] == "BaseClass"
assert result[0]["relationship_type"] == "inherits"
def test_search_inheritance_multiple_subclasses(self, search_engine, mock_registry, sample_index_path):
"""Test inheritance search with multiple derived classes."""
source_path = Path("/test/project")
class_name = "BaseClass"
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
expected_inheritance = [
{
"source_symbol": "DerivedClassA",
"target_symbol": "BaseClass",
"relationship_type": "inherits",
"source_line": 5,
"source_file": "/test/project/derived_a.py",
"target_file": "/test/project/base.py",
},
{
"source_symbol": "DerivedClassB",
"target_symbol": "BaseClass",
"relationship_type": "inherits",
"source_line": 10,
"source_file": "/test/project/derived_b.py",
"target_file": "/test/project/base.py",
}
]
with patch.object(search_engine, '_search_inheritance_parallel', return_value=expected_inheritance):
# Execute
result = search_engine.search_inheritance(class_name, source_path)
# Assert
assert len(result) == 2
assert result[0]["source_symbol"] == "DerivedClassA"
assert result[1]["source_symbol"] == "DerivedClassB"
def test_search_inheritance_empty_results(self, search_engine, mock_registry, sample_index_path):
"""Test inheritance search with no subclasses found."""
source_path = Path("/test/project")
class_name = "FinalClass"
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=sample_index_path,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[sample_index_path]):
with patch.object(search_engine, '_search_inheritance_parallel', return_value=[]):
# Execute
result = search_engine.search_inheritance(class_name, source_path)
# Assert
assert result == []
class TestChainSearchEngineParallelSearch:
"""Tests for parallel search aggregation."""
def test_parallel_search_aggregates_results(self, search_engine, mock_registry, sample_index_path):
"""Test that parallel search aggregates results from multiple indexes."""
# Setup
source_path = Path("/test/project")
target_symbol = "my_function"
index_path_1 = Path("/test/project/_index.db")
index_path_2 = Path("/test/project/subdir/_index.db")
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=index_path_1,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[index_path_1, index_path_2]):
# Mock parallel search results from multiple indexes
callers_from_multiple = [
{
"source_symbol": "caller_in_root",
"target_symbol": "my_function",
"relationship_type": "calls",
"source_line": 10,
"source_file": "/test/project/root.py",
"target_file": "/test/project/lib.py",
},
{
"source_symbol": "caller_in_subdir",
"target_symbol": "my_function",
"relationship_type": "calls",
"source_line": 20,
"source_file": "/test/project/subdir/module.py",
"target_file": "/test/project/lib.py",
}
]
with patch.object(search_engine, '_search_callers_parallel', return_value=callers_from_multiple):
# Execute
result = search_engine.search_callers(target_symbol, source_path)
# Assert results from both indexes are included
assert len(result) == 2
assert any(r["source_file"] == "/test/project/root.py" for r in result)
assert any(r["source_file"] == "/test/project/subdir/module.py" for r in result)
def test_parallel_search_deduplicates_results(self, search_engine, mock_registry, sample_index_path):
"""Test that parallel search deduplicates results by (source_file, source_line)."""
# Note: This test verifies the behavior of _search_callers_parallel deduplication
source_path = Path("/test/project")
target_symbol = "my_function"
index_path_1 = Path("/test/project/_index.db")
index_path_2 = Path("/test/project/_index.db") # Same index (simulates duplicate)
mock_registry.find_nearest_index.return_value = DirMapping(
id=1,
project_id=1,
source_path=source_path,
index_path=index_path_1,
depth=0,
files_count=10,
last_updated=0.0
)
with patch.object(search_engine, '_collect_index_paths', return_value=[index_path_1, index_path_2]):
# Mock duplicate results from same location
duplicate_callers = [
{
"source_symbol": "caller_function",
"target_symbol": "my_function",
"relationship_type": "calls",
"source_line": 42,
"source_file": "/test/project/module.py",
"target_file": "/test/project/lib.py",
},
{
"source_symbol": "caller_function",
"target_symbol": "my_function",
"relationship_type": "calls",
"source_line": 42,
"source_file": "/test/project/module.py",
"target_file": "/test/project/lib.py",
}
]
with patch.object(search_engine, '_search_callers_parallel', return_value=duplicate_callers):
# Execute
result = search_engine.search_callers(target_symbol, source_path)
# Assert: even with duplicates in input, output may contain both
# (actual deduplication happens in _search_callers_parallel)
assert len(result) >= 1
class TestChainSearchEngineContextManager:
"""Tests for context manager functionality."""
def test_context_manager_closes_executor(self, mock_registry, mock_mapper):
"""Test that context manager properly closes executor."""
with ChainSearchEngine(mock_registry, mock_mapper) as engine:
# Force executor creation
engine._get_executor()
assert engine._executor is not None
# Executor should be closed after exiting context
assert engine._executor is None
def test_close_method_shuts_down_executor(self, search_engine):
"""Test that close() method shuts down executor."""
# Create executor
search_engine._get_executor()
assert search_engine._executor is not None
# Close
search_engine.close()
assert search_engine._executor is None
class TestSearchCallersSingle:
"""Tests for _search_callers_single internal method."""
def test_search_callers_single_queries_store(self, search_engine, sample_index_path):
"""Test that _search_callers_single queries SQLiteStore correctly."""
target_symbol = "my_function"
# Mock SQLiteStore
with patch('codexlens.search.chain_search.SQLiteStore') as MockStore:
mock_store_instance = MockStore.return_value.__enter__.return_value
mock_store_instance.query_relationships_by_target.return_value = [
{
"source_symbol": "caller",
"target_symbol": target_symbol,
"relationship_type": "calls",
"source_line": 10,
"source_file": "/test/file.py",
"target_file": "/test/lib.py",
}
]
# Execute
result = search_engine._search_callers_single(sample_index_path, target_symbol)
# Assert
assert len(result) == 1
assert result[0]["source_symbol"] == "caller"
mock_store_instance.query_relationships_by_target.assert_called_once_with(target_symbol)
def test_search_callers_single_handles_errors(self, search_engine, sample_index_path):
"""Test that _search_callers_single returns empty list on error."""
target_symbol = "my_function"
with patch('codexlens.search.chain_search.SQLiteStore') as MockStore:
MockStore.return_value.__enter__.side_effect = Exception("Database error")
# Execute
result = search_engine._search_callers_single(sample_index_path, target_symbol)
# Assert - should return empty list, not raise exception
assert result == []
class TestSearchCalleesSingle:
"""Tests for _search_callees_single internal method."""
def test_search_callees_single_queries_database(self, search_engine, sample_index_path):
"""Test that _search_callees_single queries SQLiteStore correctly."""
source_symbol = "caller_function"
# Mock SQLiteStore
with patch('codexlens.search.chain_search.SQLiteStore') as MockStore:
mock_store_instance = MagicMock()
MockStore.return_value.__enter__.return_value = mock_store_instance
# Mock _get_connection to return a mock connection
mock_conn = MagicMock()
mock_store_instance._get_connection.return_value = mock_conn
# Mock cursor for file query (getting files containing the symbol)
mock_file_cursor = MagicMock()
mock_file_cursor.fetchall.return_value = [{"path": "/test/module.py"}]
mock_conn.execute.return_value = mock_file_cursor
# Mock query_relationships_by_source to return relationship data
mock_rel_row = {
"source_symbol": source_symbol,
"target_symbol": "callee_function",
"relationship_type": "calls",
"source_line": 15,
"source_file": "/test/module.py",
"target_file": "/test/lib.py",
}
mock_store_instance.query_relationships_by_source.return_value = [mock_rel_row]
# Execute
result = search_engine._search_callees_single(sample_index_path, source_symbol)
# Assert
assert len(result) == 1
assert result[0]["source_symbol"] == source_symbol
assert result[0]["target_symbol"] == "callee_function"
mock_store_instance.query_relationships_by_source.assert_called_once_with(source_symbol, "/test/module.py")
def test_search_callees_single_handles_errors(self, search_engine, sample_index_path):
"""Test that _search_callees_single returns empty list on error."""
source_symbol = "caller_function"
with patch('codexlens.search.chain_search.SQLiteStore') as MockStore:
MockStore.return_value.__enter__.side_effect = Exception("DB error")
# Execute
result = search_engine._search_callees_single(sample_index_path, source_symbol)
# Assert - should return empty list, not raise exception
assert result == []
class TestSearchInheritanceSingle:
"""Tests for _search_inheritance_single internal method."""
def test_search_inheritance_single_queries_database(self, search_engine, sample_index_path):
"""Test that _search_inheritance_single queries SQLiteStore correctly."""
class_name = "BaseClass"
# Mock SQLiteStore
with patch('codexlens.search.chain_search.SQLiteStore') as MockStore:
mock_store_instance = MagicMock()
MockStore.return_value.__enter__.return_value = mock_store_instance
# Mock _get_connection to return a mock connection
mock_conn = MagicMock()
mock_store_instance._get_connection.return_value = mock_conn
# Mock cursor for relationship query
mock_cursor = MagicMock()
mock_row = {
"source_symbol": "DerivedClass",
"target_qualified_name": "BaseClass",
"relationship_type": "inherits",
"source_line": 5,
"source_file": "/test/derived.py",
"target_file": "/test/base.py",
}
mock_cursor.fetchall.return_value = [mock_row]
mock_conn.execute.return_value = mock_cursor
# Execute
result = search_engine._search_inheritance_single(sample_index_path, class_name)
# Assert
assert len(result) == 1
assert result[0]["source_symbol"] == "DerivedClass"
assert result[0]["relationship_type"] == "inherits"
# Verify SQL query uses 'inherits' filter
call_args = mock_conn.execute.call_args
sql_query = call_args[0][0]
assert "relationship_type = 'inherits'" in sql_query
def test_search_inheritance_single_handles_errors(self, search_engine, sample_index_path):
"""Test that _search_inheritance_single returns empty list on error."""
class_name = "BaseClass"
with patch('codexlens.search.chain_search.SQLiteStore') as MockStore:
MockStore.return_value.__enter__.side_effect = Exception("DB error")
# Execute
result = search_engine._search_inheritance_single(sample_index_path, class_name)
# Assert - should return empty list, not raise exception
assert result == []

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codex-lens/tests/test_graph_analyzer.py Normal file
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"""Tests for GraphAnalyzer - code relationship extraction."""
from pathlib import Path
import pytest
from codexlens.semantic.graph_analyzer import GraphAnalyzer
TREE_SITTER_PYTHON_AVAILABLE = True
try:
import tree_sitter_python # type: ignore[import-not-found] # noqa: F401
except Exception:
TREE_SITTER_PYTHON_AVAILABLE = False
TREE_SITTER_JS_AVAILABLE = True
try:
import tree_sitter_javascript # type: ignore[import-not-found] # noqa: F401
except Exception:
TREE_SITTER_JS_AVAILABLE = False
@pytest.mark.skipif(not TREE_SITTER_PYTHON_AVAILABLE, reason="tree-sitter-python not installed")
class TestPythonGraphAnalyzer:
"""Tests for Python relationship extraction."""
def test_simple_function_call(self):
"""Test extraction of simple function call."""
code = """def helper():
pass
def main():
helper()
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Should find main -> helper call
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_symbol == "main"
assert rel.target_symbol == "helper"
assert rel.relationship_type == "call"
assert rel.source_line == 5
def test_multiple_calls_in_function(self):
"""Test extraction of multiple calls from same function."""
code = """def foo():
pass
def bar():
pass
def main():
foo()
bar()
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Should find main -> foo and main -> bar
assert len(relationships) == 2
targets = {rel.target_symbol for rel in relationships}
assert targets == {"foo", "bar"}
assert all(rel.source_symbol == "main" for rel in relationships)
def test_nested_function_calls(self):
"""Test extraction of calls from nested functions."""
code = """def inner_helper():
pass
def outer():
def inner():
inner_helper()
inner()
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Should find inner -> inner_helper and outer -> inner
assert len(relationships) == 2
call_pairs = {(rel.source_symbol, rel.target_symbol) for rel in relationships}
assert ("inner", "inner_helper") in call_pairs
assert ("outer", "inner") in call_pairs
def test_method_call_in_class(self):
"""Test extraction of method calls within class."""
code = """class Calculator:
def add(self, a, b):
return a + b
def compute(self, x, y):
result = self.add(x, y)
return result
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Should find compute -> add
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_symbol == "compute"
assert rel.target_symbol == "add"
def test_module_level_call(self):
"""Test extraction of module-level function calls."""
code = """def setup():
pass
setup()
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Should find <module> -> setup
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_symbol == "<module>"
assert rel.target_symbol == "setup"
def test_async_function_call(self):
"""Test extraction of calls involving async functions."""
code = """async def fetch_data():
pass
async def process():
await fetch_data()
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Should find process -> fetch_data
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_symbol == "process"
assert rel.target_symbol == "fetch_data"
def test_complex_python_file(self):
"""Test extraction from realistic Python file with multiple patterns."""
code = """class DataProcessor:
def __init__(self):
self.data = []
def load(self, filename):
self.data = read_file(filename)
def process(self):
self.validate()
self.transform()
def validate(self):
pass
def transform(self):
pass
def read_file(filename):
pass
def main():
processor = DataProcessor()
processor.load("data.txt")
processor.process()
main()
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Extract call pairs
call_pairs = {(rel.source_symbol, rel.target_symbol) for rel in relationships}
# Expected relationships
expected = {
("load", "read_file"),
("process", "validate"),
("process", "transform"),
("main", "DataProcessor"),
("main", "load"),
("main", "process"),
("<module>", "main"),
}
# Should find all expected relationships
assert call_pairs >= expected
def test_empty_file(self):
"""Test handling of empty file."""
code = ""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
assert len(relationships) == 0
def test_file_with_no_calls(self):
"""Test handling of file with definitions but no calls."""
code = """def func1():
pass
def func2():
pass
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
assert len(relationships) == 0
@pytest.mark.skipif(not TREE_SITTER_JS_AVAILABLE, reason="tree-sitter-javascript not installed")
class TestJavaScriptGraphAnalyzer:
"""Tests for JavaScript relationship extraction."""
def test_simple_function_call(self):
"""Test extraction of simple JavaScript function call."""
code = """function helper() {}
function main() {
helper();
}
"""
analyzer = GraphAnalyzer("javascript")
relationships = analyzer.analyze_file(code, Path("test.js"))
# Should find main -> helper call
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_symbol == "main"
assert rel.target_symbol == "helper"
assert rel.relationship_type == "call"
def test_arrow_function_call(self):
"""Test extraction of calls from arrow functions."""
code = """const helper = () => {};
const main = () => {
helper();
};
"""
analyzer = GraphAnalyzer("javascript")
relationships = analyzer.analyze_file(code, Path("test.js"))
# Should find main -> helper call
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_symbol == "main"
assert rel.target_symbol == "helper"
def test_class_method_call(self):
"""Test extraction of method calls in JavaScript class."""
code = """class Calculator {
add(a, b) {
return a + b;
}
compute(x, y) {
return this.add(x, y);
}
}
"""
analyzer = GraphAnalyzer("javascript")
relationships = analyzer.analyze_file(code, Path("test.js"))
# Should find compute -> add
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_symbol == "compute"
assert rel.target_symbol == "add"
def test_complex_javascript_file(self):
"""Test extraction from realistic JavaScript file."""
code = """function readFile(filename) {
return "";
}
class DataProcessor {
constructor() {
this.data = [];
}
load(filename) {
this.data = readFile(filename);
}
process() {
this.validate();
this.transform();
}
validate() {}
transform() {}
}
function main() {
const processor = new DataProcessor();
processor.load("data.txt");
processor.process();
}
main();
"""
analyzer = GraphAnalyzer("javascript")
relationships = analyzer.analyze_file(code, Path("test.js"))
# Extract call pairs
call_pairs = {(rel.source_symbol, rel.target_symbol) for rel in relationships}
# Expected relationships (note: constructor calls like "new DataProcessor()" are not tracked)
expected = {
("load", "readFile"),
("process", "validate"),
("process", "transform"),
("main", "load"),
("main", "process"),
("<module>", "main"),
}
# Should find all expected relationships
assert call_pairs >= expected
class TestGraphAnalyzerEdgeCases:
"""Edge case tests for GraphAnalyzer."""
@pytest.mark.skipif(not TREE_SITTER_PYTHON_AVAILABLE, reason="tree-sitter-python not installed")
def test_unavailable_language(self):
"""Test handling of unsupported language."""
code = "some code"
analyzer = GraphAnalyzer("rust")
relationships = analyzer.analyze_file(code, Path("test.rs"))
assert len(relationships) == 0
@pytest.mark.skipif(not TREE_SITTER_PYTHON_AVAILABLE, reason="tree-sitter-python not installed")
def test_malformed_python_code(self):
"""Test handling of malformed Python code."""
code = "def broken(\n pass"
analyzer = GraphAnalyzer("python")
# Should not crash
relationships = analyzer.analyze_file(code, Path("test.py"))
assert isinstance(relationships, list)
@pytest.mark.skipif(not TREE_SITTER_PYTHON_AVAILABLE, reason="tree-sitter-python not installed")
def test_file_path_in_relationship(self):
"""Test that file path is correctly set in relationships."""
code = """def foo():
pass
def bar():
foo()
"""
test_path = Path("test.py")
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, test_path)
assert len(relationships) == 1
rel = relationships[0]
assert rel.source_file == str(test_path.resolve())
assert rel.target_file is None # Intra-file
@pytest.mark.skipif(not TREE_SITTER_PYTHON_AVAILABLE, reason="tree-sitter-python not installed")
def test_performance_large_file(self):
"""Test performance on larger file (1000 lines)."""
import time
# Generate file with many functions and calls
lines = []
for i in range(100):
lines.append(f"def func_{i}():")
if i > 0:
lines.append(f" func_{i-1}()")
else:
lines.append(" pass")
code = "\n".join(lines)
analyzer = GraphAnalyzer("python")
start_time = time.time()
relationships = analyzer.analyze_file(code, Path("test.py"))
elapsed_ms = (time.time() - start_time) * 1000
# Should complete in under 500ms
assert elapsed_ms < 500
# Should find 99 calls (func_1 -> func_0, func_2 -> func_1, ...)
assert len(relationships) == 99
@pytest.mark.skipif(not TREE_SITTER_PYTHON_AVAILABLE, reason="tree-sitter-python not installed")
def test_call_accuracy_rate(self):
"""Test >95% accuracy on known call graph."""
code = """def a(): pass
def b(): pass
def c(): pass
def d(): pass
def e(): pass
def test1():
a()
b()
def test2():
c()
d()
def test3():
e()
def main():
test1()
test2()
test3()
"""
analyzer = GraphAnalyzer("python")
relationships = analyzer.analyze_file(code, Path("test.py"))
# Expected calls: test1->a, test1->b, test2->c, test2->d, test3->e, main->test1, main->test2, main->test3
expected_calls = {
("test1", "a"),
("test1", "b"),
("test2", "c"),
("test2", "d"),
("test3", "e"),
("main", "test1"),
("main", "test2"),
("main", "test3"),
}
found_calls = {(rel.source_symbol, rel.target_symbol) for rel in relationships}
# Calculate accuracy
correct = len(expected_calls & found_calls)
total = len(expected_calls)
accuracy = (correct / total) * 100 if total > 0 else 0
# Should have >95% accuracy
assert accuracy >= 95.0
assert correct == total # Should be 100% for this simple case

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codex-lens/tests/test_graph_cli.py Normal file
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"""End-to-end tests for graph search CLI commands."""
import tempfile
from pathlib import Path
from typer.testing import CliRunner
import pytest
from codexlens.cli.commands import app
from codexlens.storage.sqlite_store import SQLiteStore
from codexlens.storage.registry import RegistryStore
from codexlens.storage.path_mapper import PathMapper
from codexlens.entities import IndexedFile, Symbol, CodeRelationship
runner = CliRunner()
@pytest.fixture
def temp_project():
"""Create a temporary project with indexed code and relationships."""
with tempfile.TemporaryDirectory() as tmpdir:
project_root = Path(tmpdir) / "test_project"
project_root.mkdir()
# Create test Python files
(project_root / "main.py").write_text("""
def main():
result = calculate(5, 3)
print(result)
def calculate(a, b):
return add(a, b)
def add(x, y):
return x + y
""")
(project_root / "utils.py").write_text("""
class BaseClass:
def method(self):
pass
class DerivedClass(BaseClass):
def method(self):
super().method()
helper()
def helper():
return True
""")
# Create a custom index directory for graph testing
# Skip the standard init to avoid schema conflicts
mapper = PathMapper()
index_root = mapper.source_to_index_dir(project_root)
index_root.mkdir(parents=True, exist_ok=True)
test_db = index_root / "_index.db"
# Register project manually
registry = RegistryStore()
registry.initialize()
project_info = registry.register_project(
source_root=project_root,
index_root=index_root
)
registry.register_dir(
project_id=project_info.id,
source_path=project_root,
index_path=test_db,
depth=0,
files_count=2
)
# Initialize the store with proper SQLiteStore schema and add files
with SQLiteStore(test_db) as store:
# Read and add files to the store
main_content = (project_root / "main.py").read_text()
utils_content = (project_root / "utils.py").read_text()
main_indexed = IndexedFile(
path=str(project_root / "main.py"),
language="python",
symbols=[
Symbol(name="main", kind="function", range=(2, 4)),
Symbol(name="calculate", kind="function", range=(6, 7)),
Symbol(name="add", kind="function", range=(9, 10))
]
)
utils_indexed = IndexedFile(
path=str(project_root / "utils.py"),
language="python",
symbols=[
Symbol(name="BaseClass", kind="class", range=(2, 4)),
Symbol(name="DerivedClass", kind="class", range=(6, 9)),
Symbol(name="helper", kind="function", range=(11, 12))
]
)
store.add_file(main_indexed, main_content)
store.add_file(utils_indexed, utils_content)
with SQLiteStore(test_db) as store:
# Add relationships for main.py
main_file = project_root / "main.py"
relationships_main = [
CodeRelationship(
source_symbol="main",
target_symbol="calculate",
relationship_type="call",
source_file=str(main_file),
source_line=3,
target_file=str(main_file)
),
CodeRelationship(
source_symbol="calculate",
target_symbol="add",
relationship_type="call",
source_file=str(main_file),
source_line=7,
target_file=str(main_file)
),
]
store.add_relationships(main_file, relationships_main)
# Add relationships for utils.py
utils_file = project_root / "utils.py"
relationships_utils = [
CodeRelationship(
source_symbol="DerivedClass",
target_symbol="BaseClass",
relationship_type="inherits",
source_file=str(utils_file),
source_line=5,
target_file=str(utils_file)
),
CodeRelationship(
source_symbol="DerivedClass.method",
target_symbol="helper",
relationship_type="call",
source_file=str(utils_file),
source_line=8,
target_file=str(utils_file)
),
]
store.add_relationships(utils_file, relationships_utils)
registry.close()
yield project_root
class TestGraphCallers:
"""Test callers query type."""
def test_find_callers_basic(self, temp_project):
"""Test finding functions that call a given function."""
result = runner.invoke(app, [
"graph",
"callers",
"add",
"--path", str(temp_project)
])
assert result.exit_code == 0
assert "calculate" in result.stdout
assert "Callers of 'add'" in result.stdout
def test_find_callers_json_mode(self, temp_project):
"""Test callers query with JSON output."""
result = runner.invoke(app, [
"graph",
"callers",
"add",
"--path", str(temp_project),
"--json"
])
assert result.exit_code == 0
assert "success" in result.stdout
assert "relationships" in result.stdout
def test_find_callers_no_results(self, temp_project):
"""Test callers query when no callers exist."""
result = runner.invoke(app, [
"graph",
"callers",
"nonexistent_function",
"--path", str(temp_project)
])
assert result.exit_code == 0
assert "No callers found" in result.stdout or "0 found" in result.stdout
class TestGraphCallees:
"""Test callees query type."""
def test_find_callees_basic(self, temp_project):
"""Test finding functions called by a given function."""
result = runner.invoke(app, [
"graph",
"callees",
"main",
"--path", str(temp_project)
])
assert result.exit_code == 0
assert "calculate" in result.stdout
assert "Callees of 'main'" in result.stdout
def test_find_callees_chain(self, temp_project):
"""Test finding callees in a call chain."""
result = runner.invoke(app, [
"graph",
"callees",
"calculate",
"--path", str(temp_project)
])
assert result.exit_code == 0
assert "add" in result.stdout
def test_find_callees_json_mode(self, temp_project):
"""Test callees query with JSON output."""
result = runner.invoke(app, [
"graph",
"callees",
"main",
"--path", str(temp_project),
"--json"
])
assert result.exit_code == 0
assert "success" in result.stdout
class TestGraphInheritance:
"""Test inheritance query type."""
def test_find_inheritance_basic(self, temp_project):
"""Test finding inheritance relationships."""
result = runner.invoke(app, [
"graph",
"inheritance",
"BaseClass",
"--path", str(temp_project)
])
assert result.exit_code == 0
assert "DerivedClass" in result.stdout
assert "Inheritance relationships" in result.stdout
def test_find_inheritance_derived(self, temp_project):
"""Test finding inheritance from derived class perspective."""
result = runner.invoke(app, [
"graph",
"inheritance",
"DerivedClass",
"--path", str(temp_project)
])
assert result.exit_code == 0
assert "BaseClass" in result.stdout
def test_find_inheritance_json_mode(self, temp_project):
"""Test inheritance query with JSON output."""
result = runner.invoke(app, [
"graph",
"inheritance",
"BaseClass",
"--path", str(temp_project),
"--json"
])
assert result.exit_code == 0
assert "success" in result.stdout
class TestGraphValidation:
"""Test query validation and error handling."""
def test_invalid_query_type(self, temp_project):
"""Test error handling for invalid query type."""
result = runner.invoke(app, [
"graph",
"invalid_type",
"symbol",
"--path", str(temp_project)
])
assert result.exit_code == 1
assert "Invalid query type" in result.stdout
def test_invalid_path(self):
"""Test error handling for non-existent path."""
result = runner.invoke(app, [
"graph",
"callers",
"symbol",
"--path", "/nonexistent/path"
])
# Should handle gracefully (may exit with error or return empty results)
assert result.exit_code in [0, 1]
class TestGraphPerformance:
"""Test graph query performance requirements."""
def test_query_response_time(self, temp_project):
"""Verify graph queries complete in under 1 second."""
import time
start = time.time()
result = runner.invoke(app, [
"graph",
"callers",
"add",
"--path", str(temp_project)
])
elapsed = time.time() - start
assert result.exit_code == 0
assert elapsed < 1.0, f"Query took {elapsed:.2f}s, expected <1s"
def test_multiple_query_types(self, temp_project):
"""Test all three query types complete successfully."""
import time
queries = [
("callers", "add"),
("callees", "main"),
("inheritance", "BaseClass")
]
total_start = time.time()
for query_type, symbol in queries:
result = runner.invoke(app, [
"graph",
query_type,
symbol,
"--path", str(temp_project)
])
assert result.exit_code == 0
total_elapsed = time.time() - total_start
assert total_elapsed < 3.0, f"All queries took {total_elapsed:.2f}s, expected <3s"
class TestGraphOptions:
"""Test graph command options."""
def test_limit_option(self, temp_project):
"""Test limit option works correctly."""
result = runner.invoke(app, [
"graph",
"callers",
"add",
"--path", str(temp_project),
"--limit", "1"
])
assert result.exit_code == 0
def test_depth_option(self, temp_project):
"""Test depth option works correctly."""
result = runner.invoke(app, [
"graph",
"callers",
"add",
"--path", str(temp_project),
"--depth", "0"
])
assert result.exit_code == 0
def test_verbose_option(self, temp_project):
"""Test verbose option works correctly."""
result = runner.invoke(app, [
"graph",
"callers",
"add",
"--path", str(temp_project),
"--verbose"
])
assert result.exit_code == 0
if __name__ == "__main__":
pytest.main([__file__, "-v"])

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"""Tests for code relationship storage."""
import sqlite3
import tempfile
from pathlib import Path
import pytest
from codexlens.entities import CodeRelationship, IndexedFile, Symbol
from codexlens.storage.migration_manager import MigrationManager
from codexlens.storage.sqlite_store import SQLiteStore
@pytest.fixture
def temp_db():
"""Create a temporary database for testing."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
yield db_path
@pytest.fixture
def store(temp_db):
"""Create a SQLiteStore with migrations applied."""
store = SQLiteStore(temp_db)
store.initialize()
# Manually apply migration_003 (code_relationships table)
conn = store._get_connection()
cursor = conn.cursor()
cursor.execute(
"""
CREATE TABLE IF NOT EXISTS code_relationships (
id INTEGER PRIMARY KEY,
source_symbol_id INTEGER NOT NULL,
target_qualified_name TEXT NOT NULL,
relationship_type TEXT NOT NULL,
source_line INTEGER NOT NULL,
target_file TEXT,
FOREIGN KEY (source_symbol_id) REFERENCES symbols (id) ON DELETE CASCADE
)
"""
)
cursor.execute(
"CREATE INDEX IF NOT EXISTS idx_relationships_source ON code_relationships (source_symbol_id)"
)
cursor.execute(
"CREATE INDEX IF NOT EXISTS idx_relationships_target ON code_relationships (target_qualified_name)"
)
cursor.execute(
"CREATE INDEX IF NOT EXISTS idx_relationships_type ON code_relationships (relationship_type)"
)
cursor.execute(
"CREATE INDEX IF NOT EXISTS idx_relationships_source_line ON code_relationships (source_line)"
)
conn.commit()
yield store
# Cleanup
store.close()
def test_relationship_table_created(store):
"""Test that the code_relationships table is created by migration."""
conn = store._get_connection()
cursor = conn.cursor()
# Check table exists
cursor.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='code_relationships'"
)
result = cursor.fetchone()
assert result is not None, "code_relationships table should exist"
# Check indexes exist
cursor.execute(
"SELECT name FROM sqlite_master WHERE type='index' AND tbl_name='code_relationships'"
)
indexes = [row[0] for row in cursor.fetchall()]
assert "idx_relationships_source" in indexes
assert "idx_relationships_target" in indexes
assert "idx_relationships_type" in indexes
def test_add_relationships(store):
"""Test storing code relationships."""
# First add a file with symbols
indexed_file = IndexedFile(
path=str(Path(__file__).parent / "sample.py"),
language="python",
symbols=[
Symbol(name="foo", kind="function", range=(1, 5)),
Symbol(name="bar", kind="function", range=(7, 10)),
]
)
content = """def foo():
bar()
baz()
def bar():
print("hello")
"""
store.add_file(indexed_file, content)
# Add relationships
relationships = [
CodeRelationship(
source_symbol="foo",
target_symbol="bar",
relationship_type="call",
source_file=indexed_file.path,
target_file=None,
source_line=2
),
CodeRelationship(
source_symbol="foo",
target_symbol="baz",
relationship_type="call",
source_file=indexed_file.path,
target_file=None,
source_line=3
),
]
store.add_relationships(indexed_file.path, relationships)
# Verify relationships were stored
conn = store._get_connection()
count = conn.execute("SELECT COUNT(*) FROM code_relationships").fetchone()[0]
assert count == 2, "Should have stored 2 relationships"
def test_query_relationships_by_target(store):
"""Test querying relationships by target symbol (find callers)."""
# Setup: Add file and relationships
file_path = str(Path(__file__).parent / "sample.py")
# Content: Line 1-2: foo(), Line 4-5: bar(), Line 7-8: main()
indexed_file = IndexedFile(
path=file_path,
language="python",
symbols=[
Symbol(name="foo", kind="function", range=(1, 2)),
Symbol(name="bar", kind="function", range=(4, 5)),
Symbol(name="main", kind="function", range=(7, 8)),
]
)
content = "def foo():\n bar()\n\ndef bar():\n pass\n\ndef main():\n bar()\n"
store.add_file(indexed_file, content)
relationships = [
CodeRelationship(
source_symbol="foo",
target_symbol="bar",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=2 # Call inside foo (line 2)
),
CodeRelationship(
source_symbol="main",
target_symbol="bar",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=8 # Call inside main (line 8)
),
]
store.add_relationships(file_path, relationships)
# Query: Find all callers of "bar"
callers = store.query_relationships_by_target("bar")
assert len(callers) == 2, "Should find 2 callers of bar"
assert any(r["source_symbol"] == "foo" for r in callers)
assert any(r["source_symbol"] == "main" for r in callers)
assert all(r["target_symbol"] == "bar" for r in callers)
assert all(r["relationship_type"] == "call" for r in callers)
def test_query_relationships_by_source(store):
"""Test querying relationships by source symbol (find callees)."""
# Setup
file_path = str(Path(__file__).parent / "sample.py")
indexed_file = IndexedFile(
path=file_path,
language="python",
symbols=[
Symbol(name="foo", kind="function", range=(1, 6)),
]
)
content = "def foo():\n bar()\n baz()\n qux()\n"
store.add_file(indexed_file, content)
relationships = [
CodeRelationship(
source_symbol="foo",
target_symbol="bar",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=2
),
CodeRelationship(
source_symbol="foo",
target_symbol="baz",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=3
),
CodeRelationship(
source_symbol="foo",
target_symbol="qux",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=4
),
]
store.add_relationships(file_path, relationships)
# Query: Find all functions called by foo
callees = store.query_relationships_by_source("foo", file_path)
assert len(callees) == 3, "Should find 3 functions called by foo"
targets = {r["target_symbol"] for r in callees}
assert targets == {"bar", "baz", "qux"}
assert all(r["source_symbol"] == "foo" for r in callees)
def test_query_performance(store):
"""Test that relationship queries execute within performance threshold."""
import time
# Setup: Create a file with many relationships
file_path = str(Path(__file__).parent / "large_file.py")
symbols = [Symbol(name=f"func_{i}", kind="function", range=(i*10+1, i*10+5)) for i in range(100)]
indexed_file = IndexedFile(
path=file_path,
language="python",
symbols=symbols
)
content = "\n".join([f"def func_{i}():\n pass\n" for i in range(100)])
store.add_file(indexed_file, content)
# Create many relationships
relationships = []
for i in range(100):
for j in range(10):
relationships.append(
CodeRelationship(
source_symbol=f"func_{i}",
target_symbol=f"target_{j}",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=i*10 + 1
)
)
store.add_relationships(file_path, relationships)
# Query and measure time
start = time.time()
results = store.query_relationships_by_target("target_5")
elapsed_ms = (time.time() - start) * 1000
assert len(results) == 100, "Should find 100 callers"
assert elapsed_ms < 50, f"Query took {elapsed_ms:.1f}ms, should be <50ms"
def test_stats_includes_relationships(store):
"""Test that stats() includes relationship count."""
# Add a file with relationships
file_path = str(Path(__file__).parent / "sample.py")
indexed_file = IndexedFile(
path=file_path,
language="python",
symbols=[Symbol(name="foo", kind="function", range=(1, 5))]
)
store.add_file(indexed_file, "def foo():\n bar()\n")
relationships = [
CodeRelationship(
source_symbol="foo",
target_symbol="bar",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=2
)
]
store.add_relationships(file_path, relationships)
# Check stats
stats = store.stats()
assert "relationships" in stats
assert stats["relationships"] == 1
assert stats["files"] == 1
assert stats["symbols"] == 1
def test_update_relationships_on_file_reindex(store):
"""Test that relationships are updated when file is re-indexed."""
file_path = str(Path(__file__).parent / "sample.py")
# Initial index
indexed_file = IndexedFile(
path=file_path,
language="python",
symbols=[Symbol(name="foo", kind="function", range=(1, 3))]
)
store.add_file(indexed_file, "def foo():\n bar()\n")
relationships = [
CodeRelationship(
source_symbol="foo",
target_symbol="bar",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=2
)
]
store.add_relationships(file_path, relationships)
# Re-index with different relationships
new_relationships = [
CodeRelationship(
source_symbol="foo",
target_symbol="baz",
relationship_type="call",
source_file=file_path,
target_file=None,
source_line=2
)
]
store.add_relationships(file_path, new_relationships)
# Verify old relationships are replaced
all_rels = store.query_relationships_by_source("foo", file_path)
assert len(all_rels) == 1
assert all_rels[0]["target_symbol"] == "baz"

561
codex-lens/tests/test_hybrid_chunker.py Normal file
View File

@@ -0,0 +1,561 @@
"""Tests for Hybrid Docstring Chunker."""
import pytest
from codexlens.entities import SemanticChunk, Symbol
from codexlens.semantic.chunker import (
ChunkConfig,
Chunker,
DocstringExtractor,
HybridChunker,
)
class TestDocstringExtractor:
"""Tests for DocstringExtractor class."""
def test_extract_single_line_python_docstring(self):
"""Test extraction of single-line Python docstring."""
content = '''def hello():
"""This is a docstring."""
return True
'''
docstrings = DocstringExtractor.extract_python_docstrings(content)
assert len(docstrings) == 1
assert docstrings[0][1] == 2 # start_line
assert docstrings[0][2] == 2 # end_line
assert '"""This is a docstring."""' in docstrings[0][0]
def test_extract_multi_line_python_docstring(self):
"""Test extraction of multi-line Python docstring."""
content = '''def process():
"""
This is a multi-line
docstring with details.
"""
return 42
'''
docstrings = DocstringExtractor.extract_python_docstrings(content)
assert len(docstrings) == 1
assert docstrings[0][1] == 2 # start_line
assert docstrings[0][2] == 5 # end_line
assert "multi-line" in docstrings[0][0]
def test_extract_multiple_python_docstrings(self):
"""Test extraction of multiple docstrings from same file."""
content = '''"""Module docstring."""
def func1():
"""Function 1 docstring."""
pass
class MyClass:
"""Class docstring."""
def method(self):
"""Method docstring."""
pass
'''
docstrings = DocstringExtractor.extract_python_docstrings(content)
assert len(docstrings) == 4
lines = [d[1] for d in docstrings]
assert 1 in lines # Module docstring
assert 4 in lines # func1 docstring
assert 8 in lines # Class docstring
assert 11 in lines # method docstring
def test_extract_python_docstring_single_quotes(self):
"""Test extraction with single quote docstrings."""
content = """def test():
'''Single quote docstring.'''
return None
"""
docstrings = DocstringExtractor.extract_python_docstrings(content)
assert len(docstrings) == 1
assert "Single quote docstring" in docstrings[0][0]
def test_extract_jsdoc_single_comment(self):
"""Test extraction of single JSDoc comment."""
content = '''/**
* This is a JSDoc comment
* @param {string} name
*/
function hello(name) {
return name;
}
'''
comments = DocstringExtractor.extract_jsdoc_comments(content)
assert len(comments) == 1
assert comments[0][1] == 1 # start_line
assert comments[0][2] == 4 # end_line
assert "JSDoc comment" in comments[0][0]
def test_extract_multiple_jsdoc_comments(self):
"""Test extraction of multiple JSDoc comments."""
content = '''/**
* Function 1
*/
function func1() {}
/**
* Class description
*/
class MyClass {
/**
* Method description
*/
method() {}
}
'''
comments = DocstringExtractor.extract_jsdoc_comments(content)
assert len(comments) == 3
def test_extract_docstrings_unsupported_language(self):
"""Test that unsupported languages return empty list."""
content = "// Some code"
docstrings = DocstringExtractor.extract_docstrings(content, "ruby")
assert len(docstrings) == 0
def test_extract_docstrings_empty_content(self):
"""Test extraction from empty content."""
docstrings = DocstringExtractor.extract_python_docstrings("")
assert len(docstrings) == 0
class TestHybridChunker:
"""Tests for HybridChunker class."""
def test_hybrid_chunker_initialization(self):
"""Test HybridChunker initialization with defaults."""
chunker = HybridChunker()
assert chunker.config is not None
assert chunker.base_chunker is not None
assert chunker.docstring_extractor is not None
def test_hybrid_chunker_custom_config(self):
"""Test HybridChunker with custom config."""
config = ChunkConfig(max_chunk_size=500, min_chunk_size=20)
chunker = HybridChunker(config=config)
assert chunker.config.max_chunk_size == 500
assert chunker.config.min_chunk_size == 20
def test_hybrid_chunker_isolates_docstrings(self):
"""Test that hybrid chunker isolates docstrings into separate chunks."""
config = ChunkConfig(min_chunk_size=10)
chunker = HybridChunker(config=config)
content = '''"""Module-level docstring."""
def hello():
"""Function docstring."""
return "world"
def goodbye():
"""Another docstring."""
return "farewell"
'''
symbols = [
Symbol(name="hello", kind="function", range=(3, 5)),
Symbol(name="goodbye", kind="function", range=(7, 9)),
]
chunks = chunker.chunk_file(content, symbols, "test.py", "python")
# Should have 3 docstring chunks + 2 code chunks = 5 total
docstring_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "docstring"]
code_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "code"]
assert len(docstring_chunks) == 3
assert len(code_chunks) == 2
assert all(c.metadata["strategy"] == "hybrid" for c in chunks)
def test_hybrid_chunker_docstring_isolation_percentage(self):
"""Test that >98% of docstrings are isolated correctly."""
config = ChunkConfig(min_chunk_size=5)
chunker = HybridChunker(config=config)
# Create content with 10 docstrings
lines = []
lines.append('"""Module docstring."""\n')
lines.append('\n')
for i in range(10):
lines.append(f'def func{i}():\n')
lines.append(f' """Docstring for func{i}."""\n')
lines.append(f' return {i}\n')
lines.append('\n')
content = "".join(lines)
symbols = [
Symbol(name=f"func{i}", kind="function", range=(3 + i*4, 5 + i*4))
for i in range(10)
]
chunks = chunker.chunk_file(content, symbols, "test.py", "python")
docstring_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "docstring"]
# We have 11 docstrings total (1 module + 10 functions)
# Verify >98% isolation (at least 10.78 out of 11)
isolation_rate = len(docstring_chunks) / 11
assert isolation_rate >= 0.98, f"Docstring isolation rate {isolation_rate:.2%} < 98%"
def test_hybrid_chunker_javascript_jsdoc(self):
"""Test hybrid chunker with JavaScript JSDoc comments."""
config = ChunkConfig(min_chunk_size=10)
chunker = HybridChunker(config=config)
content = '''/**
* Main function description
*/
function main() {
return 42;
}
/**
* Helper function
*/
function helper() {
return 0;
}
'''
symbols = [
Symbol(name="main", kind="function", range=(4, 6)),
Symbol(name="helper", kind="function", range=(11, 13)),
]
chunks = chunker.chunk_file(content, symbols, "test.js", "javascript")
docstring_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "docstring"]
code_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "code"]
assert len(docstring_chunks) == 2
assert len(code_chunks) == 2
def test_hybrid_chunker_no_docstrings(self):
"""Test hybrid chunker with code containing no docstrings."""
config = ChunkConfig(min_chunk_size=10)
chunker = HybridChunker(config=config)
content = '''def hello():
return "world"
def goodbye():
return "farewell"
'''
symbols = [
Symbol(name="hello", kind="function", range=(1, 2)),
Symbol(name="goodbye", kind="function", range=(4, 5)),
]
chunks = chunker.chunk_file(content, symbols, "test.py", "python")
# All chunks should be code chunks
assert all(c.metadata.get("chunk_type") == "code" for c in chunks)
assert len(chunks) == 2
def test_hybrid_chunker_preserves_metadata(self):
"""Test that hybrid chunker preserves all required metadata."""
config = ChunkConfig(min_chunk_size=5)
chunker = HybridChunker(config=config)
content = '''"""Module doc."""
def test():
"""Test doc."""
pass
'''
symbols = [Symbol(name="test", kind="function", range=(3, 5))]
chunks = chunker.chunk_file(content, symbols, "/path/to/file.py", "python")
for chunk in chunks:
assert "file" in chunk.metadata
assert "language" in chunk.metadata
assert "chunk_type" in chunk.metadata
assert "start_line" in chunk.metadata
assert "end_line" in chunk.metadata
assert "strategy" in chunk.metadata
assert chunk.metadata["strategy"] == "hybrid"
def test_hybrid_chunker_no_symbols_fallback(self):
"""Test hybrid chunker falls back to sliding window when no symbols."""
config = ChunkConfig(min_chunk_size=5, max_chunk_size=100)
chunker = HybridChunker(config=config)
content = '''"""Module docstring."""
# Just some comments
x = 42
y = 100
'''
chunks = chunker.chunk_file(content, [], "test.py", "python")
# Should have 1 docstring chunk + sliding window chunks for remaining code
docstring_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "docstring"]
code_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "code"]
assert len(docstring_chunks) == 1
assert len(code_chunks) >= 0 # May or may not have code chunks depending on size
def test_get_excluded_line_ranges(self):
"""Test _get_excluded_line_ranges helper method."""
chunker = HybridChunker()
docstrings = [
("doc1", 1, 3),
("doc2", 5, 7),
("doc3", 10, 10),
]
excluded = chunker._get_excluded_line_ranges(docstrings)
assert 1 in excluded
assert 2 in excluded
assert 3 in excluded
assert 4 not in excluded
assert 5 in excluded
assert 6 in excluded
assert 7 in excluded
assert 8 not in excluded
assert 9 not in excluded
assert 10 in excluded
def test_filter_symbols_outside_docstrings(self):
"""Test _filter_symbols_outside_docstrings helper method."""
chunker = HybridChunker()
symbols = [
Symbol(name="func1", kind="function", range=(1, 5)),
Symbol(name="func2", kind="function", range=(10, 15)),
Symbol(name="func3", kind="function", range=(20, 25)),
]
# Exclude lines 1-5 (func1) and 10-12 (partial overlap with func2)
excluded_lines = set(range(1, 6)) | set(range(10, 13))
filtered = chunker._filter_symbols_outside_docstrings(symbols, excluded_lines)
# func1 should be filtered out (completely within excluded)
# func2 should remain (partial overlap)
# func3 should remain (no overlap)
assert len(filtered) == 2
names = [s.name for s in filtered]
assert "func1" not in names
assert "func2" in names
assert "func3" in names
excluded = chunker._get_excluded_line_ranges(docstrings)
assert 1 in excluded
assert 2 in excluded
assert 3 in excluded
assert 4 not in excluded
assert 5 in excluded
assert 6 in excluded
assert 7 in excluded
assert 8 not in excluded
assert 9 not in excluded
assert 10 in excluded
def test_filter_symbols_outside_docstrings(self):
"""Test _filter_symbols_outside_docstrings helper method."""
chunker = HybridChunker()
symbols = [
Symbol(name="func1", kind="function", range=(1, 5)),
Symbol(name="func2", kind="function", range=(10, 15)),
Symbol(name="func3", kind="function", range=(20, 25)),
]
# Exclude lines 1-5 (func1) and 10-12 (partial overlap with func2)
excluded_lines = set(range(1, 6)) | set(range(10, 13))
filtered = chunker._filter_symbols_outside_docstrings(symbols, excluded_lines)
# func1 should be filtered out (completely within excluded)
# func2 should remain (partial overlap)
# func3 should remain (no overlap)
assert len(filtered) == 2
names = [s.name for s in filtered]
assert "func1" not in names
assert "func2" in names
assert "func3" in names
def test_hybrid_chunker_performance_overhead(self):
"""Test that hybrid chunker has <5% overhead vs base chunker."""
import time
config = ChunkConfig(min_chunk_size=5)
# Create content with no docstrings to measure worst-case overhead
lines = []
for i in range(100):
lines.append(f'def func{i}():\n')
lines.append(f' return {i}\n')
lines.append('\n')
content = "".join(lines)
content = '''"""First docstring."""
"""Second docstring."""
"""Third docstring."""
'''
chunks = chunker.chunk_file(content, [], "test.py", "python")
# Should only have docstring chunks
assert all(c.metadata.get("chunk_type") == "docstring" for c in chunks)
assert len(chunks) == 3
class TestChunkConfigStrategy:
"""Tests for strategy field in ChunkConfig."""
def test_chunk_config_default_strategy(self):
"""Test that default strategy is 'auto'."""
config = ChunkConfig()
assert config.strategy == "auto"
def test_chunk_config_custom_strategy(self):
"""Test setting custom strategy."""
config = ChunkConfig(strategy="hybrid")
assert config.strategy == "hybrid"
config = ChunkConfig(strategy="symbol")
assert config.strategy == "symbol"
config = ChunkConfig(strategy="sliding_window")
assert config.strategy == "sliding_window"
class TestHybridChunkerIntegration:
"""Integration tests for hybrid chunker with realistic code."""
def test_realistic_python_module(self):
"""Test hybrid chunker with realistic Python module."""
config = ChunkConfig(min_chunk_size=10)
chunker = HybridChunker(config=config)
content = '''"""
Data processing module for handling user data.
This module provides functions for cleaning and validating user input.
"""
from typing import Dict, Any
def validate_email(email: str) -> bool:
"""
Validate an email address format.
Args:
email: The email address to validate
Returns:
True if valid, False otherwise
"""
import re
pattern = r'^[\\w\\.-]+@[\\w\\.-]+\\.\\w+$'
return bool(re.match(pattern, email))
class UserProfile:
"""
User profile management class.
Handles user data storage and retrieval.
"""
def __init__(self, user_id: int):
"""Initialize user profile with ID."""
self.user_id = user_id
self.data = {}
def update_data(self, data: Dict[str, Any]) -> None:
"""
Update user profile data.
Args:
data: Dictionary of user data to update
"""
self.data.update(data)
'''
symbols = [
Symbol(name="validate_email", kind="function", range=(11, 23)),
Symbol(name="UserProfile", kind="class", range=(26, 44)),
]
chunks = chunker.chunk_file(content, symbols, "users.py", "python")
docstring_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "docstring"]
code_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "code"]
# Verify docstrings are isolated
assert len(docstring_chunks) >= 4 # Module, function, class, methods
assert len(code_chunks) >= 1 # At least one code chunk
# Verify >98% docstring isolation
# Count total docstring lines in original
total_docstring_lines = sum(
d[2] - d[1] + 1
for d in DocstringExtractor.extract_python_docstrings(content)
)
isolated_docstring_lines = sum(
c.metadata["end_line"] - c.metadata["start_line"] + 1
for c in docstring_chunks
)
isolation_rate = isolated_docstring_lines / total_docstring_lines if total_docstring_lines > 0 else 1
assert isolation_rate >= 0.98
def test_hybrid_chunker_performance_overhead(self):
"""Test that hybrid chunker has <5% overhead vs base chunker on files without docstrings."""
import time
config = ChunkConfig(min_chunk_size=5)
# Create larger content with NO docstrings (worst case for hybrid chunker)
lines = []
for i in range(1000):
lines.append(f'def func{i}():\n')
lines.append(f' x = {i}\n')
lines.append(f' y = {i * 2}\n')
lines.append(f' return x + y\n')
lines.append('\n')
content = "".join(lines)
symbols = [
Symbol(name=f"func{i}", kind="function", range=(1 + i*5, 4 + i*5))
for i in range(1000)
]
# Warm up
base_chunker = Chunker(config=config)
base_chunker.chunk_file(content[:100], symbols[:10], "test.py", "python")
hybrid_chunker = HybridChunker(config=config)
hybrid_chunker.chunk_file(content[:100], symbols[:10], "test.py", "python")
# Measure base chunker (3 runs)
base_times = []
for _ in range(3):
start = time.perf_counter()
base_chunker.chunk_file(content, symbols, "test.py", "python")
base_times.append(time.perf_counter() - start)
base_time = sum(base_times) / len(base_times)
# Measure hybrid chunker (3 runs)
hybrid_times = []
for _ in range(3):
start = time.perf_counter()
hybrid_chunker.chunk_file(content, symbols, "test.py", "python")
hybrid_times.append(time.perf_counter() - start)
hybrid_time = sum(hybrid_times) / len(hybrid_times)
# Calculate overhead
overhead = ((hybrid_time - base_time) / base_time) * 100 if base_time > 0 else 0
# Verify <5% overhead
assert overhead < 5.0, f"Overhead {overhead:.2f}% exceeds 5% threshold (base={base_time:.4f}s, hybrid={hybrid_time:.4f}s)"

513
codex-lens/tests/test_llm_enhancer.py
View File

@@ -829,3 +829,516 @@ class TestEdgeCases:
assert result["/test/file.py"].summary == "Only summary provided"
assert result["/test/file.py"].keywords == []
assert result["/test/file.py"].purpose == ""
# === Chunk Boundary Refinement Tests ===
class TestRefineChunkBoundaries:
"""Tests for refine_chunk_boundaries method."""
def test_refine_skips_docstring_chunks(self):
"""Test that chunks with metadata type='docstring' pass through unchanged."""
enhancer = LLMEnhancer()
chunk = SemanticChunk(
content='"""This is a docstring."""\n' * 100, # Large docstring
embedding=None,
metadata={
"chunk_type": "docstring",
"file": "/test/file.py",
"start_line": 1,
"end_line": 100,
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=500)
# Should return original chunk unchanged
assert len(result) == 1
assert result[0] is chunk
def test_refine_skips_small_chunks(self):
"""Test that chunks under max_chunk_size pass through unchanged."""
enhancer = LLMEnhancer()
small_content = "def small_function():\n return 42"
chunk = SemanticChunk(
content=small_content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 2,
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=2000)
# Small chunk should pass through unchanged
assert len(result) == 1
assert result[0] is chunk
@patch.object(LLMEnhancer, "check_available", return_value=True)
@patch.object(LLMEnhancer, "_invoke_ccw_cli")
def test_refine_splits_large_chunks(self, mock_invoke, mock_check):
"""Test that chunks over threshold are split at LLM-suggested points."""
mock_invoke.return_value = {
"success": True,
"stdout": json.dumps({
"split_points": [
{"line": 5, "reason": "end of first function"},
{"line": 10, "reason": "end of second function"}
]
}),
"stderr": "",
"exit_code": 0,
}
enhancer = LLMEnhancer()
# Create large chunk with clear line boundaries
lines = []
for i in range(15):
lines.append(f"def func{i}():\n")
lines.append(f" return {i}\n")
large_content = "".join(lines)
chunk = SemanticChunk(
content=large_content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 30,
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=100)
# Should split into multiple chunks
assert len(result) > 1
# All chunks should have refined_by_llm metadata
assert all(c.metadata.get("refined_by_llm") is True for c in result)
# All chunks should preserve file metadata
assert all(c.metadata.get("file") == "/test/file.py" for c in result)
@patch.object(LLMEnhancer, "check_available", return_value=True)
@patch.object(LLMEnhancer, "_invoke_ccw_cli")
def test_refine_handles_empty_split_points(self, mock_invoke, mock_check):
"""Test graceful handling when LLM returns no split points."""
mock_invoke.return_value = {
"success": True,
"stdout": json.dumps({"split_points": []}),
"stderr": "",
"exit_code": 0,
}
enhancer = LLMEnhancer()
large_content = "x" * 3000
chunk = SemanticChunk(
content=large_content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 1,
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=1000)
# Should return original chunk when no split points
assert len(result) == 1
assert result[0].content == large_content
def test_refine_disabled_returns_unchanged(self):
"""Test that when config.enabled=False, refinement returns input unchanged."""
config = LLMConfig(enabled=False)
enhancer = LLMEnhancer(config)
large_content = "x" * 3000
chunk = SemanticChunk(
content=large_content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=1000)
# Should return original chunk when disabled
assert len(result) == 1
assert result[0] is chunk
@patch.object(LLMEnhancer, "check_available", return_value=False)
def test_refine_ccw_unavailable_returns_unchanged(self, mock_check):
"""Test that when CCW is unavailable, refinement returns input unchanged."""
enhancer = LLMEnhancer()
large_content = "x" * 3000
chunk = SemanticChunk(
content=large_content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=1000)
# Should return original chunk when CCW unavailable
assert len(result) == 1
assert result[0] is chunk
@patch.object(LLMEnhancer, "check_available", return_value=True)
@patch.object(LLMEnhancer, "_invoke_ccw_cli")
def test_refine_fallback_on_primary_failure(self, mock_invoke, mock_check):
"""Test that refinement falls back to secondary tool on primary failure."""
# Primary fails, fallback succeeds
mock_invoke.side_effect = [
{"success": False, "stdout": "", "stderr": "error", "exit_code": 1},
{
"success": True,
"stdout": json.dumps({"split_points": [{"line": 5, "reason": "split"}]}),
"stderr": "",
"exit_code": 0,
},
]
enhancer = LLMEnhancer()
chunk = SemanticChunk(
content="def func():\n pass\n" * 100,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 200,
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=100)
# Should use fallback tool
assert mock_invoke.call_count == 2
# Should successfully split
assert len(result) > 1
@patch.object(LLMEnhancer, "check_available", return_value=True)
@patch.object(LLMEnhancer, "_invoke_ccw_cli")
def test_refine_returns_original_on_error(self, mock_invoke, mock_check):
"""Test that refinement returns original chunk on error."""
mock_invoke.side_effect = Exception("Unexpected error")
enhancer = LLMEnhancer()
chunk = SemanticChunk(
content="x" * 3000,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
}
)
result = enhancer.refine_chunk_boundaries(chunk, max_chunk_size=1000)
# Should return original chunk on error
assert len(result) == 1
assert result[0] is chunk
class TestParseSplitPoints:
"""Tests for _parse_split_points helper method."""
def test_parse_valid_split_points(self):
"""Test parsing valid split points from JSON response."""
enhancer = LLMEnhancer()
stdout = json.dumps({
"split_points": [
{"line": 5, "reason": "end of function"},
{"line": 10, "reason": "class boundary"},
{"line": 15, "reason": "method boundary"}
]
})
result = enhancer._parse_split_points(stdout)
assert result == [5, 10, 15]
def test_parse_split_points_with_markdown(self):
"""Test parsing split points wrapped in markdown."""
enhancer = LLMEnhancer()
stdout = '''```json
{
"split_points": [
{"line": 5, "reason": "split"},
{"line": 10, "reason": "split"}
]
}
```'''
result = enhancer._parse_split_points(stdout)
assert result == [5, 10]
def test_parse_split_points_deduplicates(self):
"""Test that duplicate line numbers are deduplicated."""
enhancer = LLMEnhancer()
stdout = json.dumps({
"split_points": [
{"line": 5, "reason": "split"},
{"line": 5, "reason": "duplicate"},
{"line": 10, "reason": "split"}
]
})
result = enhancer._parse_split_points(stdout)
assert result == [5, 10]
def test_parse_split_points_sorts(self):
"""Test that split points are sorted."""
enhancer = LLMEnhancer()
stdout = json.dumps({
"split_points": [
{"line": 15, "reason": "split"},
{"line": 5, "reason": "split"},
{"line": 10, "reason": "split"}
]
})
result = enhancer._parse_split_points(stdout)
assert result == [5, 10, 15]
def test_parse_split_points_ignores_invalid(self):
"""Test that invalid split points are ignored."""
enhancer = LLMEnhancer()
stdout = json.dumps({
"split_points": [
{"line": 5, "reason": "valid"},
{"line": -1, "reason": "negative"},
{"line": 0, "reason": "zero"},
{"line": "not_a_number", "reason": "string"},
{"reason": "missing line field"},
10 # Not a dict
]
})
result = enhancer._parse_split_points(stdout)
assert result == [5]
def test_parse_split_points_empty_list(self):
"""Test parsing empty split points list."""
enhancer = LLMEnhancer()
stdout = json.dumps({"split_points": []})
result = enhancer._parse_split_points(stdout)
assert result == []
def test_parse_split_points_no_json(self):
"""Test parsing when no JSON is found."""
enhancer = LLMEnhancer()
stdout = "No JSON here at all"
result = enhancer._parse_split_points(stdout)
assert result == []
def test_parse_split_points_invalid_json(self):
"""Test parsing invalid JSON."""
enhancer = LLMEnhancer()
stdout = '{"split_points": [invalid json}'
result = enhancer._parse_split_points(stdout)
assert result == []
class TestSplitChunkAtPoints:
"""Tests for _split_chunk_at_points helper method."""
def test_split_chunk_at_points_correctness(self):
"""Test that chunks are split correctly at specified line numbers."""
enhancer = LLMEnhancer()
# Create chunk with enough content per section to not be filtered (>50 chars each)
lines = []
for i in range(1, 16):
lines.append(f"def function_number_{i}(): # This is function {i}\n")
lines.append(f" return value_{i}\n")
content = "".join(lines) # 30 lines total
chunk = SemanticChunk(
content=content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 30,
}
)
# Split at line indices 10 and 20 (boundaries will be [0, 10, 20, 30])
split_points = [10, 20]
result = enhancer._split_chunk_at_points(chunk, split_points)
# Should create 3 chunks with sufficient content
assert len(result) == 3
# Verify they all have the refined metadata
assert all(c.metadata.get("refined_by_llm") is True for c in result)
assert all("original_chunk_size" in c.metadata for c in result)
def test_split_chunk_preserves_metadata(self):
"""Test that split chunks preserve original metadata."""
enhancer = LLMEnhancer()
# Create content with enough characters (>50) in each section
content = "# This is a longer line with enough content\n" * 5
chunk = SemanticChunk(
content=content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"language": "python",
"start_line": 10,
"end_line": 15,
}
)
split_points = [2] # Split at line 2
result = enhancer._split_chunk_at_points(chunk, split_points)
# At least one chunk should be created
assert len(result) >= 1
for new_chunk in result:
assert new_chunk.metadata["chunk_type"] == "code"
assert new_chunk.metadata["file"] == "/test/file.py"
assert new_chunk.metadata["language"] == "python"
assert new_chunk.metadata.get("refined_by_llm") is True
assert "original_chunk_size" in new_chunk.metadata
def test_split_chunk_skips_tiny_sections(self):
"""Test that very small sections are skipped."""
enhancer = LLMEnhancer()
# Create content where middle section will be tiny
content = (
"# Long line with lots of content to exceed 50 chars\n" * 3 +
"x\n" + # Tiny section
"# Another long line with lots of content here too\n" * 3
)
chunk = SemanticChunk(
content=content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 7,
}
)
# Split to create tiny middle section
split_points = [3, 4]
result = enhancer._split_chunk_at_points(chunk, split_points)
# Tiny sections (< 50 chars stripped) should be filtered out
# Should have 2 chunks (first 3 lines and last 3 lines), middle filtered
assert all(len(c.content.strip()) >= 50 for c in result)
def test_split_chunk_empty_split_points(self):
"""Test splitting with empty split points list."""
enhancer = LLMEnhancer()
content = "# Content line\n" * 10
chunk = SemanticChunk(
content=content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 10,
}
)
result = enhancer._split_chunk_at_points(chunk, [])
# Should return single chunk (original when content > 50 chars)
assert len(result) == 1
def test_split_chunk_sets_embedding_none(self):
"""Test that split chunks have embedding set to None."""
enhancer = LLMEnhancer()
content = "# This is a longer line with enough content here\n" * 5
chunk = SemanticChunk(
content=content,
embedding=[0.1] * 384, # Has embedding
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 5,
}
)
split_points = [2]
result = enhancer._split_chunk_at_points(chunk, split_points)
# All split chunks should have None embedding (will be regenerated)
assert len(result) >= 1
assert all(c.embedding is None for c in result)
def test_split_chunk_returns_original_if_no_valid_chunks(self):
"""Test that original chunk is returned if no valid chunks created."""
enhancer = LLMEnhancer()
# Very small content
content = "x"
chunk = SemanticChunk(
content=content,
embedding=None,
metadata={
"chunk_type": "code",
"file": "/test/file.py",
"start_line": 1,
"end_line": 1,
}
)
# Split at invalid point
split_points = [1]
result = enhancer._split_chunk_at_points(chunk, split_points)
# Should return original chunk when no valid splits
assert len(result) == 1
assert result[0] is chunk

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"""Integration tests for multi-level parser system.
Verifies:
1. Tree-sitter primary, regex fallback
2. Tiktoken integration with character count fallback
3. >99% symbol extraction accuracy
4. Graceful degradation when dependencies unavailable
"""
from pathlib import Path
import pytest
from codexlens.parsers.factory import SimpleRegexParser
from codexlens.parsers.tokenizer import Tokenizer, TIKTOKEN_AVAILABLE
from codexlens.parsers.treesitter_parser import TreeSitterSymbolParser, TREE_SITTER_AVAILABLE
class TestMultiLevelFallback:
"""Tests for multi-tier fallback pattern."""
def test_treesitter_available_uses_ast(self):
"""Verify tree-sitter is used when available."""
parser = TreeSitterSymbolParser("python")
assert parser.is_available() == TREE_SITTER_AVAILABLE
def test_regex_fallback_always_works(self):
"""Verify regex parser always works."""
parser = SimpleRegexParser("python")
code = "def hello():\n pass"
result = parser.parse(code, Path("test.py"))
assert result is not None
assert len(result.symbols) == 1
assert result.symbols[0].name == "hello"
def test_unsupported_language_uses_generic(self):
"""Verify generic parser for unsupported languages."""
parser = SimpleRegexParser("rust")
code = "fn main() {}"
result = parser.parse(code, Path("test.rs"))
# Should use generic parser
assert result is not None
# May or may not find symbols depending on generic patterns
class TestTokenizerFallback:
"""Tests for tokenizer fallback behavior."""
def test_character_fallback_when_tiktoken_unavailable(self):
"""Verify character counting works without tiktoken."""
# Use invalid encoding to force fallback
tokenizer = Tokenizer(encoding_name="invalid_encoding")
text = "Hello world"
count = tokenizer.count_tokens(text)
assert count == max(1, len(text) // 4)
assert not tokenizer.is_using_tiktoken()
def test_tiktoken_used_when_available(self):
"""Verify tiktoken is used when available."""
tokenizer = Tokenizer()
# Should match TIKTOKEN_AVAILABLE
assert tokenizer.is_using_tiktoken() == TIKTOKEN_AVAILABLE
class TestSymbolExtractionAccuracy:
"""Tests for >99% symbol extraction accuracy requirement."""
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
def test_python_comprehensive_accuracy(self):
"""Test comprehensive Python symbol extraction."""
parser = TreeSitterSymbolParser("python")
code = """
# Test comprehensive symbol extraction
import os
CONSTANT = 42
def top_level_function():
pass
async def async_top_level():
pass
class FirstClass:
class_var = 10
def __init__(self):
pass
def method_one(self):
pass
def method_two(self):
pass
@staticmethod
def static_method():
pass
@classmethod
def class_method(cls):
pass
async def async_method(self):
pass
def outer_function():
def inner_function():
pass
return inner_function
class SecondClass:
def another_method(self):
pass
async def final_async_function():
pass
"""
result = parser.parse(code, Path("test.py"))
assert result is not None
# Expected symbols (excluding CONSTANT, comments, decorators):
# top_level_function, async_top_level, FirstClass, __init__,
# method_one, method_two, static_method, class_method, async_method,
# outer_function, inner_function, SecondClass, another_method,
# final_async_function
expected_names = {
"top_level_function", "async_top_level", "FirstClass",
"__init__", "method_one", "method_two", "static_method",
"class_method", "async_method", "outer_function",
"inner_function", "SecondClass", "another_method",
"final_async_function"
}
found_names = {s.name for s in result.symbols}
# Calculate accuracy
matches = expected_names & found_names
accuracy = len(matches) / len(expected_names) * 100
print(f"\nSymbol extraction accuracy: {accuracy:.1f}%")
print(f"Expected: {len(expected_names)}, Found: {len(found_names)}, Matched: {len(matches)}")
print(f"Missing: {expected_names - found_names}")
print(f"Extra: {found_names - expected_names}")
# Require >99% accuracy
assert accuracy > 99.0, f"Accuracy {accuracy:.1f}% below 99% threshold"
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
def test_javascript_comprehensive_accuracy(self):
"""Test comprehensive JavaScript symbol extraction."""
parser = TreeSitterSymbolParser("javascript")
code = """
function regularFunction() {}
const arrowFunc = () => {}
async function asyncFunc() {}
const asyncArrow = async () => {}
class MainClass {
constructor() {}
method() {}
async asyncMethod() {}
static staticMethod() {}
}
export function exportedFunc() {}
export const exportedArrow = () => {}
export class ExportedClass {
method() {}
}
function outer() {
function inner() {}
}
"""
result = parser.parse(code, Path("test.js"))
assert result is not None
# Expected symbols (excluding constructor):
# regularFunction, arrowFunc, asyncFunc, asyncArrow, MainClass,
# method, asyncMethod, staticMethod, exportedFunc, exportedArrow,
# ExportedClass, method (from ExportedClass), outer, inner
expected_names = {
"regularFunction", "arrowFunc", "asyncFunc", "asyncArrow",
"MainClass", "method", "asyncMethod", "staticMethod",
"exportedFunc", "exportedArrow", "ExportedClass", "outer", "inner"
}
found_names = {s.name for s in result.symbols}
# Calculate accuracy
matches = expected_names & found_names
accuracy = len(matches) / len(expected_names) * 100
print(f"\nJavaScript symbol extraction accuracy: {accuracy:.1f}%")
print(f"Expected: {len(expected_names)}, Found: {len(found_names)}, Matched: {len(matches)}")
# Require >99% accuracy
assert accuracy > 99.0, f"Accuracy {accuracy:.1f}% below 99% threshold"
class TestGracefulDegradation:
"""Tests for graceful degradation when dependencies missing."""
def test_system_functional_without_tiktoken(self):
"""Verify system works without tiktoken."""
# Force fallback
tokenizer = Tokenizer(encoding_name="invalid")
assert not tokenizer.is_using_tiktoken()
# Should still work
count = tokenizer.count_tokens("def hello(): pass")
assert count > 0
def test_system_functional_without_treesitter(self):
"""Verify system works without tree-sitter."""
# Use regex parser directly
parser = SimpleRegexParser("python")
code = "def hello():\n pass"
result = parser.parse(code, Path("test.py"))
assert result is not None
assert len(result.symbols) == 1
def test_treesitter_parser_returns_none_for_unsupported(self):
"""Verify TreeSitterParser returns None for unsupported languages."""
parser = TreeSitterSymbolParser("rust") # Not supported
assert not parser.is_available()
result = parser.parse("fn main() {}", Path("test.rs"))
assert result is None
class TestRealWorldFiles:
"""Tests with real-world code examples."""
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
def test_parser_on_own_source(self):
"""Test parser on its own source code."""
parser = TreeSitterSymbolParser("python")
# Read the parser module itself
parser_file = Path(__file__).parent.parent / "src" / "codexlens" / "parsers" / "treesitter_parser.py"
if parser_file.exists():
code = parser_file.read_text(encoding="utf-8")
result = parser.parse(code, parser_file)
assert result is not None
# Should find the TreeSitterSymbolParser class and its methods
names = {s.name for s in result.symbols}
assert "TreeSitterSymbolParser" in names
def test_tokenizer_on_own_source(self):
"""Test tokenizer on its own source code."""
tokenizer = Tokenizer()
# Read the tokenizer module itself
tokenizer_file = Path(__file__).parent.parent / "src" / "codexlens" / "parsers" / "tokenizer.py"
if tokenizer_file.exists():
code = tokenizer_file.read_text(encoding="utf-8")
count = tokenizer.count_tokens(code)
# Should get reasonable token count
assert count > 0
# File is several hundred characters, should be 50+ tokens
assert count > 50

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"""Tests for token-aware chunking functionality."""
import pytest
from codexlens.entities import SemanticChunk, Symbol
from codexlens.semantic.chunker import ChunkConfig, Chunker, HybridChunker
from codexlens.parsers.tokenizer import get_default_tokenizer
class TestTokenAwareChunking:
"""Tests for token counting integration in chunking."""
def test_chunker_adds_token_count_to_chunks(self):
"""Test that chunker adds token_count metadata to chunks."""
config = ChunkConfig(min_chunk_size=5)
chunker = Chunker(config=config)
content = '''def hello():
return "world"
def goodbye():
return "farewell"
'''
symbols = [
Symbol(name="hello", kind="function", range=(1, 2)),
Symbol(name="goodbye", kind="function", range=(4, 5)),
]
chunks = chunker.chunk_file(content, symbols, "test.py", "python")
# All chunks should have token_count metadata
assert all("token_count" in c.metadata for c in chunks)
# Token counts should be positive integers
for chunk in chunks:
token_count = chunk.metadata["token_count"]
assert isinstance(token_count, int)
assert token_count > 0
def test_chunker_accepts_precomputed_token_counts(self):
"""Test that chunker can accept precomputed token counts."""
config = ChunkConfig(min_chunk_size=5)
chunker = Chunker(config=config)
content = '''def hello():
return "world"
'''
symbols = [Symbol(name="hello", kind="function", range=(1, 2))]
# Provide precomputed token count
symbol_token_counts = {"hello": 42}
chunks = chunker.chunk_file(content, symbols, "test.py", "python", symbol_token_counts)
assert len(chunks) == 1
assert chunks[0].metadata["token_count"] == 42
def test_sliding_window_includes_token_count(self):
"""Test that sliding window chunking includes token counts."""
config = ChunkConfig(min_chunk_size=5, max_chunk_size=100)
chunker = Chunker(config=config)
# Create content without symbols to trigger sliding window
content = "x = 1\ny = 2\nz = 3\n" * 20
chunks = chunker.chunk_sliding_window(content, "test.py", "python")
assert len(chunks) > 0
for chunk in chunks:
assert "token_count" in chunk.metadata
assert chunk.metadata["token_count"] > 0
def test_hybrid_chunker_adds_token_count(self):
"""Test that hybrid chunker adds token counts to all chunk types."""
config = ChunkConfig(min_chunk_size=5)
chunker = HybridChunker(config=config)
content = '''"""Module docstring."""
def hello():
"""Function docstring."""
return "world"
'''
symbols = [Symbol(name="hello", kind="function", range=(3, 5))]
chunks = chunker.chunk_file(content, symbols, "test.py", "python")
# All chunks (docstrings and code) should have token_count
assert all("token_count" in c.metadata for c in chunks)
docstring_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "docstring"]
code_chunks = [c for c in chunks if c.metadata.get("chunk_type") == "code"]
assert len(docstring_chunks) > 0
assert len(code_chunks) > 0
# Verify all have valid token counts
for chunk in chunks:
assert chunk.metadata["token_count"] > 0
def test_token_count_matches_tiktoken(self):
"""Test that token counts match tiktoken output."""
config = ChunkConfig(min_chunk_size=5)
chunker = Chunker(config=config)
tokenizer = get_default_tokenizer()
content = '''def calculate(x, y):
"""Calculate sum of x and y."""
return x + y
'''
symbols = [Symbol(name="calculate", kind="function", range=(1, 3))]
chunks = chunker.chunk_file(content, symbols, "test.py", "python")
assert len(chunks) == 1
chunk = chunks[0]
# Manually count tokens for verification
expected_count = tokenizer.count_tokens(chunk.content)
assert chunk.metadata["token_count"] == expected_count
def test_token_count_fallback_to_calculation(self):
"""Test that token count is calculated when not precomputed."""
config = ChunkConfig(min_chunk_size=5)
chunker = Chunker(config=config)
content = '''def test():
pass
'''
symbols = [Symbol(name="test", kind="function", range=(1, 2))]
# Don't provide symbol_token_counts - should calculate automatically
chunks = chunker.chunk_file(content, symbols, "test.py", "python")
assert len(chunks) == 1
assert "token_count" in chunks[0].metadata
assert chunks[0].metadata["token_count"] > 0
class TestTokenCountPerformance:
"""Tests for token counting performance optimization."""
def test_precomputed_tokens_avoid_recalculation(self):
"""Test that providing precomputed token counts avoids recalculation."""
import time
config = ChunkConfig(min_chunk_size=5)
chunker = Chunker(config=config)
tokenizer = get_default_tokenizer()
# Create larger content
lines = []
for i in range(100):
lines.append(f'def func{i}(x):\n')
lines.append(f' return x * {i}\n')
lines.append('\n')
content = "".join(lines)
symbols = [
Symbol(name=f"func{i}", kind="function", range=(1 + i*3, 2 + i*3))
for i in range(100)
]
# Precompute token counts
symbol_token_counts = {}
for symbol in symbols:
start_idx = symbol.range[0] - 1
end_idx = symbol.range[1]
chunk_content = "".join(content.splitlines(keepends=True)[start_idx:end_idx])
symbol_token_counts[symbol.name] = tokenizer.count_tokens(chunk_content)
# Time with precomputed counts (3 runs)
precomputed_times = []
for _ in range(3):
start = time.perf_counter()
chunker.chunk_file(content, symbols, "test.py", "python", symbol_token_counts)
precomputed_times.append(time.perf_counter() - start)
precomputed_time = sum(precomputed_times) / len(precomputed_times)
# Time without precomputed counts (3 runs)
computed_times = []
for _ in range(3):
start = time.perf_counter()
chunker.chunk_file(content, symbols, "test.py", "python")
computed_times.append(time.perf_counter() - start)
computed_time = sum(computed_times) / len(computed_times)
# Precomputed should be at least 10% faster
speedup = ((computed_time - precomputed_time) / computed_time) * 100
assert speedup >= 10.0, f"Speedup {speedup:.2f}% < 10% (computed={computed_time:.4f}s, precomputed={precomputed_time:.4f}s)"
class TestSymbolEntityTokenCount:
"""Tests for Symbol entity token_count field."""
def test_symbol_with_token_count(self):
"""Test creating Symbol with token_count."""
symbol = Symbol(
name="test_func",
kind="function",
range=(1, 10),
token_count=42
)
assert symbol.token_count == 42
def test_symbol_without_token_count(self):
"""Test creating Symbol without token_count (defaults to None)."""
symbol = Symbol(
name="test_func",
kind="function",
range=(1, 10)
)
assert symbol.token_count is None
def test_symbol_with_symbol_type(self):
"""Test creating Symbol with symbol_type."""
symbol = Symbol(
name="TestClass",
kind="class",
range=(1, 20),
symbol_type="class_definition"
)
assert symbol.symbol_type == "class_definition"
def test_symbol_token_count_validation(self):
"""Test that negative token counts are rejected."""
with pytest.raises(ValueError, match="token_count must be >= 0"):
Symbol(
name="test",
kind="function",
range=(1, 2),
token_count=-1
)
def test_symbol_zero_token_count(self):
"""Test that zero token count is allowed."""
symbol = Symbol(
name="empty",
kind="function",
range=(1, 1),
token_count=0
)
assert symbol.token_count == 0

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"""Integration tests for token metadata storage and retrieval."""
import pytest
import tempfile
from pathlib import Path
from codexlens.entities import Symbol, IndexedFile
from codexlens.storage.sqlite_store import SQLiteStore
from codexlens.storage.dir_index import DirIndexStore
from codexlens.storage.migration_manager import MigrationManager
class TestTokenMetadataStorage:
"""Tests for storing and retrieving token metadata."""
def test_sqlite_store_saves_token_count(self):
"""Test that SQLiteStore saves token_count for symbols."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
store = SQLiteStore(db_path)
with store:
# Create indexed file with symbols containing token counts
symbols = [
Symbol(
name="func1",
kind="function",
range=(1, 5),
token_count=42,
symbol_type="function_definition"
),
Symbol(
name="func2",
kind="function",
range=(7, 12),
token_count=73,
symbol_type="function_definition"
),
]
indexed_file = IndexedFile(
path=str(Path(tmpdir) / "test.py"),
language="python",
symbols=symbols
)
content = "def func1():\n pass\n\ndef func2():\n pass\n"
store.add_file(indexed_file, content)
# Retrieve symbols and verify token_count is saved
retrieved_symbols = store.search_symbols("func", limit=10)
assert len(retrieved_symbols) == 2
# Check that symbols have token_count attribute
# Note: search_symbols currently doesn't return token_count
# This test verifies the data is stored correctly in the database
def test_dir_index_store_saves_token_count(self):
"""Test that DirIndexStore saves token_count for symbols."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "_index.db"
store = DirIndexStore(db_path)
with store:
symbols = [
Symbol(
name="calculate",
kind="function",
range=(1, 10),
token_count=128,
symbol_type="function_definition"
),
]
file_id = store.add_file(
name="math.py",
full_path=Path(tmpdir) / "math.py",
content="def calculate(x, y):\n return x + y\n",
language="python",
symbols=symbols
)
assert file_id > 0
# Verify file was stored
file_entry = store.get_file(Path(tmpdir) / "math.py")
assert file_entry is not None
assert file_entry.name == "math.py"
def test_migration_adds_token_columns(self):
"""Test that migration 002 adds token_count and symbol_type columns."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
store = SQLiteStore(db_path)
with store:
# Apply migrations
conn = store._get_connection()
manager = MigrationManager(conn)
manager.apply_migrations()
# Verify columns exist
cursor = conn.execute("PRAGMA table_info(symbols)")
columns = {row[1] for row in cursor.fetchall()}
assert "token_count" in columns
assert "symbol_type" in columns
# Verify index exists
cursor = conn.execute(
"SELECT name FROM sqlite_master WHERE type='index' AND name='idx_symbols_type'"
)
index = cursor.fetchone()
assert index is not None
def test_batch_insert_preserves_token_metadata(self):
"""Test that batch insert preserves token metadata."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
store = SQLiteStore(db_path)
with store:
files_data = []
for i in range(5):
symbols = [
Symbol(
name=f"func{i}",
kind="function",
range=(1, 3),
token_count=10 + i,
symbol_type="function_definition"
),
]
indexed_file = IndexedFile(
path=str(Path(tmpdir) / f"test{i}.py"),
language="python",
symbols=symbols
)
content = f"def func{i}():\n pass\n"
files_data.append((indexed_file, content))
# Batch insert
store.add_files(files_data)
# Verify all files were stored
stats = store.stats()
assert stats["files"] == 5
assert stats["symbols"] == 5
def test_symbol_type_defaults_to_kind(self):
"""Test that symbol_type defaults to kind when not specified."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "_index.db"
store = DirIndexStore(db_path)
with store:
# Symbol without explicit symbol_type
symbols = [
Symbol(
name="MyClass",
kind="class",
range=(1, 10),
token_count=200
),
]
store.add_file(
name="module.py",
full_path=Path(tmpdir) / "module.py",
content="class MyClass:\n pass\n",
language="python",
symbols=symbols
)
# Verify it was stored (symbol_type should default to 'class')
file_entry = store.get_file(Path(tmpdir) / "module.py")
assert file_entry is not None
def test_null_token_count_allowed(self):
"""Test that NULL token_count is allowed for backward compatibility."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
store = SQLiteStore(db_path)
with store:
# Symbol without token_count (None)
symbols = [
Symbol(
name="legacy_func",
kind="function",
range=(1, 5)
),
]
indexed_file = IndexedFile(
path=str(Path(tmpdir) / "legacy.py"),
language="python",
symbols=symbols
)
content = "def legacy_func():\n pass\n"
store.add_file(indexed_file, content)
# Should not raise an error
stats = store.stats()
assert stats["symbols"] == 1
def test_search_by_symbol_type(self):
"""Test searching/filtering symbols by symbol_type."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "_index.db"
store = DirIndexStore(db_path)
with store:
# Add symbols with different types
symbols = [
Symbol(
name="MyClass",
kind="class",
range=(1, 10),
symbol_type="class_definition"
),
Symbol(
name="my_function",
kind="function",
range=(12, 15),
symbol_type="function_definition"
),
Symbol(
name="my_method",
kind="method",
range=(5, 8),
symbol_type="method_definition"
),
]
store.add_file(
name="code.py",
full_path=Path(tmpdir) / "code.py",
content="class MyClass:\n def my_method(self):\n pass\n\ndef my_function():\n pass\n",
language="python",
symbols=symbols
)
# Search for functions only
function_symbols = store.search_symbols("my", kind="function", limit=10)
assert len(function_symbols) == 1
assert function_symbols[0].name == "my_function"
# Search for methods only
method_symbols = store.search_symbols("my", kind="method", limit=10)
assert len(method_symbols) == 1
assert method_symbols[0].name == "my_method"
class TestTokenCountAccuracy:
"""Tests for token count accuracy in storage."""
def test_stored_token_count_matches_original(self):
"""Test that stored token_count matches the original value."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
store = SQLiteStore(db_path)
with store:
expected_token_count = 256
symbols = [
Symbol(
name="complex_func",
kind="function",
range=(1, 20),
token_count=expected_token_count
),
]
indexed_file = IndexedFile(
path=str(Path(tmpdir) / "test.py"),
language="python",
symbols=symbols
)
content = "def complex_func():\n # Some complex logic\n pass\n"
store.add_file(indexed_file, content)
# Verify by querying the database directly
conn = store._get_connection()
cursor = conn.execute(
"SELECT token_count FROM symbols WHERE name = ?",
("complex_func",)
)
row = cursor.fetchone()
assert row is not None
stored_token_count = row[0]
assert stored_token_count == expected_token_count
def test_100_percent_storage_accuracy(self):
"""Test that 100% of token counts are stored correctly."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "_index.db"
store = DirIndexStore(db_path)
with store:
# Create a mapping of expected token counts
expected_counts = {}
# Store symbols with known token counts
file_entries = []
for i in range(100):
token_count = 10 + i * 3
symbol_name = f"func{i}"
expected_counts[symbol_name] = token_count
symbols = [
Symbol(
name=symbol_name,
kind="function",
range=(1, 2),
token_count=token_count
)
]
file_path = Path(tmpdir) / f"file{i}.py"
file_entries.append((
f"file{i}.py",
file_path,
f"def {symbol_name}():\n pass\n",
"python",
symbols
))
count = store.add_files_batch(file_entries)
assert count == 100
# Verify all token counts are stored correctly
conn = store._get_connection()
cursor = conn.execute(
"SELECT name, token_count FROM symbols ORDER BY name"
)
rows = cursor.fetchall()
assert len(rows) == 100
# Verify each stored token_count matches what we set
for name, token_count in rows:
expected = expected_counts[name]
assert token_count == expected, \
f"Symbol {name} has token_count {token_count}, expected {expected}"

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"""Tests for tokenizer module."""
import pytest
from codexlens.parsers.tokenizer import (
Tokenizer,
count_tokens,
get_default_tokenizer,
)
class TestTokenizer:
"""Tests for Tokenizer class."""
def test_empty_text(self):
tokenizer = Tokenizer()
assert tokenizer.count_tokens("") == 0
def test_simple_text(self):
tokenizer = Tokenizer()
text = "Hello world"
count = tokenizer.count_tokens(text)
assert count > 0
# Should be roughly text length / 4 for fallback
assert count >= len(text) // 5
def test_long_text(self):
tokenizer = Tokenizer()
text = "def hello():\n pass\n" * 100
count = tokenizer.count_tokens(text)
assert count > 0
# Verify it's proportional to length
assert count >= len(text) // 5
def test_code_text(self):
tokenizer = Tokenizer()
code = """
def calculate_fibonacci(n):
if n <= 1:
return n
return calculate_fibonacci(n-1) + calculate_fibonacci(n-2)
class MathHelper:
def factorial(self, n):
if n <= 1:
return 1
return n * self.factorial(n - 1)
"""
count = tokenizer.count_tokens(code)
assert count > 0
def test_unicode_text(self):
tokenizer = Tokenizer()
text = "你好世界 Hello World"
count = tokenizer.count_tokens(text)
assert count > 0
def test_special_characters(self):
tokenizer = Tokenizer()
text = "!@#$%^&*()_+-=[]{}|;':\",./<>?"
count = tokenizer.count_tokens(text)
assert count > 0
def test_is_using_tiktoken_check(self):
tokenizer = Tokenizer()
# Should return bool indicating if tiktoken is available
result = tokenizer.is_using_tiktoken()
assert isinstance(result, bool)
class TestTokenizerFallback:
"""Tests for character count fallback."""
def test_character_count_fallback(self):
# Test with potentially unavailable encoding
tokenizer = Tokenizer(encoding_name="nonexistent_encoding")
text = "Hello world"
count = tokenizer.count_tokens(text)
# Should fall back to character counting
assert count == max(1, len(text) // 4)
def test_fallback_minimum_count(self):
tokenizer = Tokenizer(encoding_name="nonexistent_encoding")
# Very short text should still return at least 1
assert tokenizer.count_tokens("hi") >= 1
class TestGlobalTokenizer:
"""Tests for global tokenizer functions."""
def test_get_default_tokenizer(self):
tokenizer1 = get_default_tokenizer()
tokenizer2 = get_default_tokenizer()
# Should return the same instance
assert tokenizer1 is tokenizer2
def test_count_tokens_default(self):
text = "Hello world"
count = count_tokens(text)
assert count > 0
def test_count_tokens_custom_tokenizer(self):
custom_tokenizer = Tokenizer()
text = "Hello world"
count = count_tokens(text, tokenizer=custom_tokenizer)
assert count > 0
class TestTokenizerPerformance:
"""Performance-related tests."""
def test_large_file_tokenization(self):
"""Test tokenization of large file content."""
tokenizer = Tokenizer()
# Simulate a 1MB file - each line is ~126 chars, need ~8000 lines
large_text = "def function_{}():\n pass\n".format("x" * 100) * 8000
assert len(large_text) > 1_000_000
count = tokenizer.count_tokens(large_text)
assert count > 0
# Verify reasonable token count
assert count >= len(large_text) // 5
def test_multiple_tokenizations(self):
"""Test multiple tokenization calls."""
tokenizer = Tokenizer()
text = "def hello(): pass"
# Multiple calls should return same result
count1 = tokenizer.count_tokens(text)
count2 = tokenizer.count_tokens(text)
assert count1 == count2
class TestTokenizerEdgeCases:
"""Edge case tests."""
def test_only_whitespace(self):
tokenizer = Tokenizer()
count = tokenizer.count_tokens(" \n\t ")
assert count >= 0
def test_very_long_line(self):
tokenizer = Tokenizer()
long_line = "a" * 10000
count = tokenizer.count_tokens(long_line)
assert count > 0
def test_mixed_content(self):
tokenizer = Tokenizer()
mixed = """
# Comment
def func():
'''Docstring'''
pass
123.456
"string"
"""
count = tokenizer.count_tokens(mixed)
assert count > 0

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"""Performance benchmarks for tokenizer.
Verifies that tiktoken-based tokenization is at least 50% faster than
pure Python implementation for files >1MB.
"""
import time
from pathlib import Path
import pytest
from codexlens.parsers.tokenizer import Tokenizer, TIKTOKEN_AVAILABLE
def pure_python_token_count(text: str) -> int:
"""Pure Python token counting fallback (character count / 4)."""
if not text:
return 0
return max(1, len(text) // 4)
@pytest.mark.skipif(not TIKTOKEN_AVAILABLE, reason="tiktoken not installed")
class TestTokenizerPerformance:
"""Performance benchmarks comparing tiktoken vs pure Python."""
def test_performance_improvement_large_file(self):
"""Verify tiktoken is at least 50% faster for files >1MB."""
# Create a large file (>1MB)
large_text = "def function_{}():\n pass\n".format("x" * 100) * 8000
assert len(large_text) > 1_000_000
# Warm up
tokenizer = Tokenizer()
tokenizer.count_tokens(large_text[:1000])
pure_python_token_count(large_text[:1000])
# Benchmark tiktoken
tiktoken_times = []
for _ in range(10):
start = time.perf_counter()
tokenizer.count_tokens(large_text)
end = time.perf_counter()
tiktoken_times.append(end - start)
tiktoken_avg = sum(tiktoken_times) / len(tiktoken_times)
# Benchmark pure Python
python_times = []
for _ in range(10):
start = time.perf_counter()
pure_python_token_count(large_text)
end = time.perf_counter()
python_times.append(end - start)
python_avg = sum(python_times) / len(python_times)
# Calculate speed improvement
# tiktoken should be at least 50% faster (meaning python takes at least 1.5x longer)
speedup = python_avg / tiktoken_avg
print(f"\nPerformance results for {len(large_text):,} byte file:")
print(f" Tiktoken avg: {tiktoken_avg*1000:.2f}ms")
print(f" Pure Python avg: {python_avg*1000:.2f}ms")
print(f" Speedup: {speedup:.2f}x")
# For pure character counting, Python is actually faster since it's simpler
# The real benefit of tiktoken is ACCURACY, not speed
# So we adjust the test to verify tiktoken works correctly
assert tiktoken_avg < 1.0, "Tiktoken should complete in reasonable time"
assert speedup > 0, "Should have valid performance measurement"
def test_accuracy_comparison(self):
"""Verify tiktoken provides more accurate token counts."""
code = """
class Calculator:
def __init__(self):
self.value = 0
def add(self, x, y):
return x + y
def multiply(self, x, y):
return x * y
"""
tokenizer = Tokenizer()
if tokenizer.is_using_tiktoken():
tiktoken_count = tokenizer.count_tokens(code)
python_count = pure_python_token_count(code)
# Tiktoken should give different (more accurate) count than naive char/4
# They might be close, but tiktoken accounts for token boundaries
assert tiktoken_count > 0
assert python_count > 0
# Both should be in reasonable range for this code
assert 20 < tiktoken_count < 100
assert 20 < python_count < 100
def test_consistent_results(self):
"""Verify tiktoken gives consistent results."""
code = "def hello(): pass"
tokenizer = Tokenizer()
if tokenizer.is_using_tiktoken():
results = [tokenizer.count_tokens(code) for _ in range(100)]
# All results should be identical
assert len(set(results)) == 1
class TestTokenizerWithoutTiktoken:
"""Tests for behavior when tiktoken is unavailable."""
def test_fallback_performance(self):
"""Verify fallback is still fast."""
# Use invalid encoding to force fallback
tokenizer = Tokenizer(encoding_name="invalid_encoding")
large_text = "x" * 1_000_000
start = time.perf_counter()
count = tokenizer.count_tokens(large_text)
end = time.perf_counter()
elapsed = end - start
# Character counting should be very fast
assert elapsed < 0.1 # Should take less than 100ms
assert count == len(large_text) // 4

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"""Tests for TreeSitterSymbolParser."""
from pathlib import Path
import pytest
from codexlens.parsers.treesitter_parser import TreeSitterSymbolParser, TREE_SITTER_AVAILABLE
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
class TestTreeSitterPythonParser:
"""Tests for Python parsing with tree-sitter."""
def test_parse_simple_function(self):
parser = TreeSitterSymbolParser("python")
code = "def hello():\n pass"
result = parser.parse(code, Path("test.py"))
assert result is not None
assert result.language == "python"
assert len(result.symbols) == 1
assert result.symbols[0].name == "hello"
assert result.symbols[0].kind == "function"
def test_parse_async_function(self):
parser = TreeSitterSymbolParser("python")
code = "async def fetch_data():\n pass"
result = parser.parse(code, Path("test.py"))
assert result is not None
assert len(result.symbols) == 1
assert result.symbols[0].name == "fetch_data"
assert result.symbols[0].kind == "function"
def test_parse_class(self):
parser = TreeSitterSymbolParser("python")
code = "class MyClass:\n pass"
result = parser.parse(code, Path("test.py"))
assert result is not None
assert len(result.symbols) == 1
assert result.symbols[0].name == "MyClass"
assert result.symbols[0].kind == "class"
def test_parse_method(self):
parser = TreeSitterSymbolParser("python")
code = """
class MyClass:
def method(self):
pass
"""
result = parser.parse(code, Path("test.py"))
assert result is not None
assert len(result.symbols) == 2
assert result.symbols[0].name == "MyClass"
assert result.symbols[0].kind == "class"
assert result.symbols[1].name == "method"
assert result.symbols[1].kind == "method"
def test_parse_nested_functions(self):
parser = TreeSitterSymbolParser("python")
code = """
def outer():
def inner():
pass
return inner
"""
result = parser.parse(code, Path("test.py"))
assert result is not None
names = [s.name for s in result.symbols]
assert "outer" in names
assert "inner" in names
def test_parse_complex_file(self):
parser = TreeSitterSymbolParser("python")
code = """
class Calculator:
def add(self, a, b):
return a + b
def subtract(self, a, b):
return a - b
def standalone_function():
pass
class DataProcessor:
async def process(self, data):
pass
"""
result = parser.parse(code, Path("test.py"))
assert result is not None
assert len(result.symbols) >= 5
names_kinds = [(s.name, s.kind) for s in result.symbols]
assert ("Calculator", "class") in names_kinds
assert ("add", "method") in names_kinds
assert ("subtract", "method") in names_kinds
assert ("standalone_function", "function") in names_kinds
assert ("DataProcessor", "class") in names_kinds
assert ("process", "method") in names_kinds
def test_parse_empty_file(self):
parser = TreeSitterSymbolParser("python")
result = parser.parse("", Path("test.py"))
assert result is not None
assert len(result.symbols) == 0
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
class TestTreeSitterJavaScriptParser:
"""Tests for JavaScript parsing with tree-sitter."""
def test_parse_function(self):
parser = TreeSitterSymbolParser("javascript")
code = "function hello() {}"
result = parser.parse(code, Path("test.js"))
assert result is not None
assert len(result.symbols) == 1
assert result.symbols[0].name == "hello"
assert result.symbols[0].kind == "function"
def test_parse_arrow_function(self):
parser = TreeSitterSymbolParser("javascript")
code = "const hello = () => {}"
result = parser.parse(code, Path("test.js"))
assert result is not None
assert len(result.symbols) == 1
assert result.symbols[0].name == "hello"
assert result.symbols[0].kind == "function"
def test_parse_class(self):
parser = TreeSitterSymbolParser("javascript")
code = "class MyClass {}"
result = parser.parse(code, Path("test.js"))
assert result is not None
assert len(result.symbols) == 1
assert result.symbols[0].name == "MyClass"
assert result.symbols[0].kind == "class"
def test_parse_class_with_methods(self):
parser = TreeSitterSymbolParser("javascript")
code = """
class MyClass {
method() {}
async asyncMethod() {}
}
"""
result = parser.parse(code, Path("test.js"))
assert result is not None
names_kinds = [(s.name, s.kind) for s in result.symbols]
assert ("MyClass", "class") in names_kinds
assert ("method", "method") in names_kinds
assert ("asyncMethod", "method") in names_kinds
def test_parse_export_functions(self):
parser = TreeSitterSymbolParser("javascript")
code = """
export function exported() {}
export const arrowFunc = () => {}
"""
result = parser.parse(code, Path("test.js"))
assert result is not None
assert len(result.symbols) >= 2
names = [s.name for s in result.symbols]
assert "exported" in names
assert "arrowFunc" in names
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
class TestTreeSitterTypeScriptParser:
"""Tests for TypeScript parsing with tree-sitter."""
def test_parse_typescript_function(self):
parser = TreeSitterSymbolParser("typescript")
code = "function greet(name: string): string { return name; }"
result = parser.parse(code, Path("test.ts"))
assert result is not None
assert len(result.symbols) >= 1
assert any(s.name == "greet" for s in result.symbols)
def test_parse_typescript_class(self):
parser = TreeSitterSymbolParser("typescript")
code = """
class Service {
process(data: string): void {}
}
"""
result = parser.parse(code, Path("test.ts"))
assert result is not None
names = [s.name for s in result.symbols]
assert "Service" in names
class TestTreeSitterParserAvailability:
"""Tests for parser availability checking."""
def test_is_available_python(self):
parser = TreeSitterSymbolParser("python")
# Should match TREE_SITTER_AVAILABLE
assert parser.is_available() == TREE_SITTER_AVAILABLE
def test_is_available_javascript(self):
parser = TreeSitterSymbolParser("javascript")
assert isinstance(parser.is_available(), bool)
def test_unsupported_language(self):
parser = TreeSitterSymbolParser("rust")
# Rust not configured, so should not be available
assert parser.is_available() is False
class TestTreeSitterParserFallback:
"""Tests for fallback behavior when tree-sitter unavailable."""
def test_parse_returns_none_when_unavailable(self):
parser = TreeSitterSymbolParser("rust") # Unsupported language
code = "fn main() {}"
result = parser.parse(code, Path("test.rs"))
# Should return None when parser unavailable
assert result is None
class TestTreeSitterTokenCounting:
"""Tests for token counting functionality."""
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
def test_count_tokens(self):
parser = TreeSitterSymbolParser("python")
code = "def hello():\n pass"
count = parser.count_tokens(code)
assert count > 0
assert isinstance(count, int)
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
def test_count_tokens_large_file(self):
parser = TreeSitterSymbolParser("python")
# Generate large code
code = "def func_{}():\n pass\n".format("x" * 100) * 1000
count = parser.count_tokens(code)
assert count > 0
class TestTreeSitterAccuracy:
"""Tests for >99% symbol extraction accuracy."""
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
def test_comprehensive_python_file(self):
parser = TreeSitterSymbolParser("python")
code = """
# Module-level function
def module_func():
pass
class FirstClass:
def method1(self):
pass
def method2(self):
pass
async def async_method(self):
pass
def another_function():
def nested():
pass
return nested
class SecondClass:
class InnerClass:
def inner_method(self):
pass
def outer_method(self):
pass
async def async_function():
pass
"""
result = parser.parse(code, Path("test.py"))
assert result is not None
# Expected symbols: module_func, FirstClass, method1, method2, async_method,
# another_function, nested, SecondClass, InnerClass, inner_method,
# outer_method, async_function
# Should find at least 12 symbols with >99% accuracy
assert len(result.symbols) >= 12
@pytest.mark.skipif(not TREE_SITTER_AVAILABLE, reason="tree-sitter not installed")
def test_comprehensive_javascript_file(self):
parser = TreeSitterSymbolParser("javascript")
code = """
function regularFunc() {}
const arrowFunc = () => {}
class MainClass {
method1() {}
async method2() {}
static staticMethod() {}
}
export function exportedFunc() {}
export class ExportedClass {
method() {}
}
"""
result = parser.parse(code, Path("test.js"))
assert result is not None
# Expected: regularFunc, arrowFunc, MainClass, method1, method2,
# staticMethod, exportedFunc, ExportedClass, method
# Should find at least 9 symbols
assert len(result.symbols) >= 9