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

This project follows a systematic numbering approach for test modules:

000-099: Package internals and utilities

  • test_000_package.py - Package-level functionality

  • test_010_base.py - Internal utilities and base functionality

100-199: Exception handling (Lower-level API)

  • test_100_exceptions.py - Exception classes and error handling

200-299: Core detection functionality (Lower-level API)

  • test_200_detection.py - Text detection functions (charset, MIME type, content validation)

  • test_210_lineseparators.py - Line separator enumeration and utilities

300-399: Reserved for higher-level integration 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

Example from test_200_detection.py:

def test_000_imports():
    ''' Basic module import verification '''

def test_100_detect_charset_utf8():
    ''' charset detection with UTF-8 content '''

def test_110_detect_charset_ascii():
    ''' charset detection with ASCII content '''

def test_200_detect_mimetype_magic():
    ''' MIME type detection via magic numbers '''

def test_210_detect_mimetype_extension():
    ''' MIME type detection via extension fallback '''

Project-Specific Testing Conventions

Test Data Organization

  • Inline byte arrays preferred: Most test data as inline b"content" in test code

  • tests/data/samples/ - Minimal binary fixtures only for complex cases (JPEG samples, etc.)