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https://github.com/catlog22/Claude-Code-Workflow.git
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Add comprehensive tests for tokenizer, performance benchmarks, and TreeSitter parser functionality
- 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
353
codex-lens/tests/test_token_storage.py
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353
codex-lens/tests/test_token_storage.py
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"""Integration tests for token metadata storage and retrieval."""
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import pytest
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import tempfile
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from pathlib import Path
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from codexlens.entities import Symbol, IndexedFile
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from codexlens.storage.sqlite_store import SQLiteStore
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from codexlens.storage.dir_index import DirIndexStore
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from codexlens.storage.migration_manager import MigrationManager
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class TestTokenMetadataStorage:
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"""Tests for storing and retrieving token metadata."""
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def test_sqlite_store_saves_token_count(self):
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"""Test that SQLiteStore saves token_count for symbols."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "test.db"
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store = SQLiteStore(db_path)
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with store:
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# Create indexed file with symbols containing token counts
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symbols = [
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Symbol(
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name="func1",
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kind="function",
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range=(1, 5),
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token_count=42,
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symbol_type="function_definition"
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),
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Symbol(
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name="func2",
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kind="function",
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range=(7, 12),
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token_count=73,
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symbol_type="function_definition"
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),
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]
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indexed_file = IndexedFile(
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path=str(Path(tmpdir) / "test.py"),
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language="python",
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symbols=symbols
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)
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content = "def func1():\n pass\n\ndef func2():\n pass\n"
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store.add_file(indexed_file, content)
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# Retrieve symbols and verify token_count is saved
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retrieved_symbols = store.search_symbols("func", limit=10)
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assert len(retrieved_symbols) == 2
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# Check that symbols have token_count attribute
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# Note: search_symbols currently doesn't return token_count
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# This test verifies the data is stored correctly in the database
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def test_dir_index_store_saves_token_count(self):
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"""Test that DirIndexStore saves token_count for symbols."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "_index.db"
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store = DirIndexStore(db_path)
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with store:
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symbols = [
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Symbol(
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name="calculate",
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kind="function",
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range=(1, 10),
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token_count=128,
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symbol_type="function_definition"
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),
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]
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file_id = store.add_file(
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name="math.py",
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full_path=Path(tmpdir) / "math.py",
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content="def calculate(x, y):\n return x + y\n",
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language="python",
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symbols=symbols
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)
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assert file_id > 0
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# Verify file was stored
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file_entry = store.get_file(Path(tmpdir) / "math.py")
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assert file_entry is not None
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assert file_entry.name == "math.py"
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def test_migration_adds_token_columns(self):
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"""Test that migration 002 adds token_count and symbol_type columns."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "test.db"
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store = SQLiteStore(db_path)
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with store:
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# Apply migrations
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conn = store._get_connection()
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manager = MigrationManager(conn)
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manager.apply_migrations()
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# Verify columns exist
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cursor = conn.execute("PRAGMA table_info(symbols)")
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columns = {row[1] for row in cursor.fetchall()}
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assert "token_count" in columns
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assert "symbol_type" in columns
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# Verify index exists
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cursor = conn.execute(
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"SELECT name FROM sqlite_master WHERE type='index' AND name='idx_symbols_type'"
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)
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index = cursor.fetchone()
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assert index is not None
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def test_batch_insert_preserves_token_metadata(self):
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"""Test that batch insert preserves token metadata."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "test.db"
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store = SQLiteStore(db_path)
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with store:
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files_data = []
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for i in range(5):
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symbols = [
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Symbol(
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name=f"func{i}",
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kind="function",
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range=(1, 3),
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token_count=10 + i,
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symbol_type="function_definition"
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),
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]
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indexed_file = IndexedFile(
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path=str(Path(tmpdir) / f"test{i}.py"),
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language="python",
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symbols=symbols
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)
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content = f"def func{i}():\n pass\n"
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files_data.append((indexed_file, content))
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# Batch insert
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store.add_files(files_data)
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# Verify all files were stored
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stats = store.stats()
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assert stats["files"] == 5
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assert stats["symbols"] == 5
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def test_symbol_type_defaults_to_kind(self):
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"""Test that symbol_type defaults to kind when not specified."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "_index.db"
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store = DirIndexStore(db_path)
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with store:
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# Symbol without explicit symbol_type
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symbols = [
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Symbol(
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name="MyClass",
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kind="class",
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range=(1, 10),
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token_count=200
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),
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]
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store.add_file(
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name="module.py",
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full_path=Path(tmpdir) / "module.py",
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content="class MyClass:\n pass\n",
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language="python",
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symbols=symbols
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)
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# Verify it was stored (symbol_type should default to 'class')
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file_entry = store.get_file(Path(tmpdir) / "module.py")
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assert file_entry is not None
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def test_null_token_count_allowed(self):
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"""Test that NULL token_count is allowed for backward compatibility."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "test.db"
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store = SQLiteStore(db_path)
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with store:
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# Symbol without token_count (None)
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symbols = [
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Symbol(
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name="legacy_func",
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kind="function",
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range=(1, 5)
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),
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]
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indexed_file = IndexedFile(
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path=str(Path(tmpdir) / "legacy.py"),
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language="python",
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symbols=symbols
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)
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content = "def legacy_func():\n pass\n"
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store.add_file(indexed_file, content)
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# Should not raise an error
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stats = store.stats()
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assert stats["symbols"] == 1
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def test_search_by_symbol_type(self):
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"""Test searching/filtering symbols by symbol_type."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "_index.db"
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store = DirIndexStore(db_path)
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with store:
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# Add symbols with different types
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symbols = [
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Symbol(
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name="MyClass",
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kind="class",
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range=(1, 10),
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symbol_type="class_definition"
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),
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Symbol(
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name="my_function",
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kind="function",
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range=(12, 15),
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symbol_type="function_definition"
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),
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Symbol(
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name="my_method",
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kind="method",
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range=(5, 8),
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symbol_type="method_definition"
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),
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]
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store.add_file(
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name="code.py",
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full_path=Path(tmpdir) / "code.py",
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content="class MyClass:\n def my_method(self):\n pass\n\ndef my_function():\n pass\n",
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language="python",
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symbols=symbols
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)
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# Search for functions only
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function_symbols = store.search_symbols("my", kind="function", limit=10)
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assert len(function_symbols) == 1
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assert function_symbols[0].name == "my_function"
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# Search for methods only
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method_symbols = store.search_symbols("my", kind="method", limit=10)
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assert len(method_symbols) == 1
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assert method_symbols[0].name == "my_method"
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class TestTokenCountAccuracy:
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"""Tests for token count accuracy in storage."""
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def test_stored_token_count_matches_original(self):
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"""Test that stored token_count matches the original value."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "test.db"
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store = SQLiteStore(db_path)
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with store:
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expected_token_count = 256
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symbols = [
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Symbol(
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name="complex_func",
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kind="function",
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range=(1, 20),
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token_count=expected_token_count
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),
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]
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indexed_file = IndexedFile(
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path=str(Path(tmpdir) / "test.py"),
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language="python",
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symbols=symbols
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)
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content = "def complex_func():\n # Some complex logic\n pass\n"
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store.add_file(indexed_file, content)
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# Verify by querying the database directly
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conn = store._get_connection()
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cursor = conn.execute(
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"SELECT token_count FROM symbols WHERE name = ?",
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("complex_func",)
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)
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row = cursor.fetchone()
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assert row is not None
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stored_token_count = row[0]
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assert stored_token_count == expected_token_count
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def test_100_percent_storage_accuracy(self):
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"""Test that 100% of token counts are stored correctly."""
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with tempfile.TemporaryDirectory() as tmpdir:
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db_path = Path(tmpdir) / "_index.db"
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store = DirIndexStore(db_path)
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with store:
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# Create a mapping of expected token counts
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expected_counts = {}
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# Store symbols with known token counts
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file_entries = []
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for i in range(100):
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token_count = 10 + i * 3
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symbol_name = f"func{i}"
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expected_counts[symbol_name] = token_count
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symbols = [
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Symbol(
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name=symbol_name,
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kind="function",
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range=(1, 2),
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token_count=token_count
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)
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]
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file_path = Path(tmpdir) / f"file{i}.py"
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file_entries.append((
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f"file{i}.py",
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file_path,
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f"def {symbol_name}():\n pass\n",
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"python",
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symbols
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))
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count = store.add_files_batch(file_entries)
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assert count == 100
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# Verify all token counts are stored correctly
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conn = store._get_connection()
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cursor = conn.execute(
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"SELECT name, token_count FROM symbols ORDER BY name"
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)
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rows = cursor.fetchall()
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assert len(rows) == 100
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# Verify each stored token_count matches what we set
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for name, token_count in rows:
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expected = expected_counts[name]
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assert token_count == expected, \
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f"Symbol {name} has token_count {token_count}, expected {expected}"
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