Test Organization Summary

Overview

This section contains comprehensive test planning documentation, including test organization conventions, coverage strategies, and detailed implementation plans for achieving systematic test coverage.

Test plans follow project testing principles described in the common test development guidelines. Key principles include:

  • Dependency injection over monkey-patching for testable code architecture

  • Systematic coverage analysis with clear gap identification

  • Performance-conscious resource use with appropriate testing strategies

  • Organized test structure with numbered modules and functions

Test Planning Process

The test planning process systematically addresses:

Coverage Gap Analysis

Identification of all uncovered lines and untested functionality across modules

Test Strategy Development

Comprehensive approaches for testing each function, class, and method with appropriate test data strategies

Implementation Guidance

Detailed plans for achieving coverage while following project testing principles

Architectural Considerations

Analysis of testability constraints and recommendations for maintaining clean, testable code

Test Module Numbering Scheme

Test modules follow architectural layering with systematic numbering:

000-099: Package Infrastructure

  • test_000_package.py - Package sanity tests

  • test_010_base.py - Common imports validation

100-199: Core Data Structures and Protocols

  • test_100_records.py - Record and MessageContent

  • test_110_flavors.py - FlavorSpecification and standard definitions

  • test_120_configuration.py - Configuration dataclasses and hierarchy

  • test_130_exceptions.py - Package exception hierarchy

200-299: Protocols and Interfaces

  • test_200_textualizers.py - Compositor, Linearizer, and Introducer protocols

  • test_210_printers.py - Printer protocol and factories

300-399: Core Layer Implementations

  • test_300_reporters.py - Reporter message handling

  • test_310_inspection.py - Stack frame inspection for module addressing

400-499: Dispatcher Layer

  • test_400_dispatchers.py - Dispatcher routing, registration, builtins

500-699: Standard Recipe Implementations

  • test_500_standard_core.py - CompositorConfiguration and state

  • test_510_standard_flavors.py - Standard flavor definitions

  • test_520_standard_introducers.py - Introduction formatting logic

  • test_530_standard_linearizers.py - Content-to-lines conversion

  • test_540_standard_compositors.py - Complete composition flow

  • test_550_standard_printers.py - Stderr and custom output

700-799: Integration Tests

  • test_700_integration_basic.py - End-to-end message flow

  • test_710_integration_exceptions.py - Exception capture and rendering

  • test_720_integration_hierarchy.py - Configuration inheritance

  • test_730_integration_concurrency.py - Thread-safe operation

Numbering Rationale:

  • Lower numbers represent lower-level, foundational components

  • Higher numbers represent higher-level, integrated functionality

  • 100-number blocks provide room for growth within each category

  • Integration tests at 700+ validate cross-layer functionality

Test Function Numbering

Within each test module, functions are numbered by component:

  • 000-099: Basic functionality tests for the module

  • 100-199, 200-299, etc.: Each function/class gets its own 100-number block

  • Increments of 10-20: For closely related test variations within a block

Project-Specific Testing Conventions

For detailed testing conventions, patterns, and guidelines, refer to the common test development guidelines. This includes:

  • Coverage goals and strategies

  • Performance considerations

  • Test data organization patterns

  • Dependency injection approaches

  • Resource management during testing