Install git pre-commit hook.

Check if this relation type is naturally bidirectional.

Check if message contains significant code content.

List all projects in the watch list.

Mock OpenAI embedder with dummy implementation.

Handle file creation events.

Handle file deletion events.

Handle file modification events.

Handle file move events.

Extract CSS rules, classes, IDs.

Extract JSON structure as entities and relations.

Extract YAML structure and configuration.

Split text into searchable chunks.

Parse CSV for column headers and basic structure.

Parse INI file for sections and keys.

Process a batch of content items.

Process relations with Git+Meta smart filtering.

Process implementation chunks with Git+Meta deduplication.

Project-specific options.

Add custom command line option for watcher mode.

Create PythonParser instance.

Create a Qdrant client for testing with session scope.

Create a QdrantStore instance for testing.

Get fully qualified name including file path.

Number of relations found.

Remove a project from the watch list.

Decorator to skip tests if OpenAI API key is not available.

Decorator to skip tests if Qdrant is not available.

Reset the model state for retraining.

Check if module name resolves to any existing entity.

Optimized O(1) module resolution using pre-built indices.

Check if module name resolves to any existing entity.

Restart the service.

Create the reverse relation (if applicable).

Create sample files and return info about planned changes.

Create a single sample Python file for testing.

Search across code entities, relations, and chat conversations.

Search with caching.

Search with support for semantic, keyword, and hybrid modes. Args: collection_name: Name of the collection to search

Background service commands.

Show service status.

Get unique hash for this conversation session.

Set the callback function for processed events.

Check if a file should be processed now.

Show effective configuration for project.

Start file watching for real-time indexing.

Start the background indexing service.

Default state file for backward compatibility with tests.

Stop the debouncer and process remaining events.

Stop the timer thread.

Check if embedding generation was successful.

Check if parsing was successful.

File processing success rate.

Calculate success rate for batch operations.

Generate summary files from indexed chat conversations.

Get key for deduplication in vector store.

Create temporary project path.

Create a temporary repository with sample Python files for testing.

Test basic CLI indexing from command line.

Test basic file operations detection.

Test basic file watching and re-indexing.

Test cost calculation.

Test file type detection.

Test file type detection.

Test cleanup when collection doesn't exist.

Test error handling during orphan cleanup.

Test cleanup when no entities exist.

Test cleanup when no orphaned relations exist.

Test successful cleanup of orphaned relations.

Test clearing non-existent collection.

Test clearing collection while preserving manual memories.

Test clearing collection when there are no code-indexed points.

Test clearing collection successfully.

Test CLI configuration validation.

Test CLI error handling and user-friendly error messages.

Test CLI help output.

Test CLI index command with mocked dependencies.

Test CLI output modes.

Test CLI search functionality.

Test CLI version command.

Test CLI with custom configuration file.