Files
markitect-main/tddai/coverage_analyzer.py
tegwick bbc6192fe1 refactor: Standardize error handling patterns across codebase
Comprehensive error handling improvements addressing inconsistent patterns:

• Created markitect/exceptions.py with complete domain-specific exception hierarchy
  - MarkitectError base class with context and cause chaining support
  - Specific exceptions for Document, AST, Cache, Database, Schema operations
  - Built-in logging and context preservation

• Fixed overly broad exception handling in tddai modules:
  - issue_fetcher.py: Replace generic Exception with specific Gitea errors
  - project_manager.py: Proper error translation with context preservation
  - coverage_analyzer.py: Replace silent suppression with logging

• Enhanced cache_service.py error handling:
  - Specific OSError/PermissionError handling for file operations
  - Logging integration for unexpected errors
  - Preserved error collection and reporting

• Implemented proper exception chaining patterns:
  - All error translations use `raise ... from e` for debugging
  - Preserved original exception context and stack traces
  - Added docstring declarations of raised exceptions

• Benefits:
  - Eliminates silent error suppression and debugging black holes
  - Provides specific, actionable error messages
  - Preserves full error context for troubleshooting
  - Establishes consistent patterns for future development

Resolves issue #21: Error handling standardization

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-26 16:35:13 +02:00

428 lines
17 KiB
Python

"""
Test coverage analyzer for issues.
This module analyzes issues and existing tests to identify gaps in functional test coverage.
"""
import json
import re
from pathlib import Path
from typing import Dict, List, Set, Tuple, Optional
from dataclasses import dataclass
from .issue_fetcher import IssueFetcher
from .config import get_config
@dataclass
class TestRequirement:
"""Represents a test requirement extracted from an issue."""
category: str
description: str
priority: str # "critical", "important", "nice-to-have"
keywords: List[str]
@dataclass
class ExistingTest:
"""Represents an existing test file and its coverage."""
file_path: Path
test_methods: List[str]
coverage_keywords: Set[str]
related_issue: Optional[int] = None
@dataclass
class CoverageGap:
"""Represents a gap in test coverage."""
requirement: TestRequirement
suggested_test_name: str
suggested_test_file: str
example_test: str
@dataclass
class CoverageAssessment:
"""Complete coverage assessment for an issue."""
issue_number: int
issue_title: str
requirements: List[TestRequirement]
existing_tests: List[ExistingTest]
coverage_gaps: List[CoverageGap]
coverage_percentage: float
recommendations: List[str]
class CoverageAnalyzer:
"""Analyzes test coverage for issues."""
def __init__(self, config=None):
self.config = config or get_config()
self.issue_fetcher = IssueFetcher(self.config)
def analyze_issue_coverage(self, issue_number: int) -> CoverageAssessment:
"""Analyze test coverage for a specific issue."""
# Fetch issue details
issue_data = self.issue_fetcher.fetch_issue(issue_number)
# Extract test requirements from issue
requirements = self._extract_requirements(issue_data)
# Find existing tests
existing_tests = self._find_existing_tests(issue_number)
# Identify coverage gaps
coverage_gaps = self._identify_gaps(requirements, existing_tests)
# Calculate coverage percentage
coverage_percentage = self._calculate_coverage(requirements, existing_tests)
# Generate recommendations
recommendations = self._generate_recommendations(issue_data, coverage_gaps)
return CoverageAssessment(
issue_number=issue_number,
issue_title=issue_data.title if hasattr(issue_data, 'title') else issue_data.get('title', ''),
requirements=requirements,
existing_tests=existing_tests,
coverage_gaps=coverage_gaps,
coverage_percentage=coverage_percentage,
recommendations=recommendations
)
def _extract_requirements(self, issue_data) -> List[TestRequirement]:
"""Extract test requirements from issue description."""
requirements = []
# Handle both dict and Issue object
if hasattr(issue_data, 'body'):
description = issue_data.body + ' ' + issue_data.title
else:
description = issue_data.get('body', '') + ' ' + issue_data.get('title', '')
# Define requirement patterns with priorities
requirement_patterns = [
# Critical functionality patterns
(r'user can\s+([^.]+)', 'critical', 'user_functionality'),
(r'must\s+([^.]+)', 'critical', 'requirement'),
(r'should\s+([^.]+)', 'important', 'requirement'),
(r'example:\s*([^.]+)', 'important', 'example_scenario'),
# API/Interface patterns
(r'(create|generate|parse|validate|convert|process)\s+([^.]+)', 'critical', 'core_function'),
(r'(read|store|save|load|retrieve|fetch)\s+([^.]+)', 'critical', 'data_operation'),
(r'(input|output|parameter|argument):\s*([^.]+)', 'important', 'io_validation'),
(r'(returns?|outputs?)\s+([^.]+)', 'important', 'output_validation'),
# Data operations - common in simple issues
(r'(file|database|storage|content)\s+([^.]+)', 'important', 'data_handling'),
(r'(schema|json|markdown|ast)\s+([^.]+)', 'important', 'format_handling'),
# Error handling patterns
(r'(error|exception|fail|invalid)\s+([^.]+)', 'important', 'error_handling'),
(r'edge case:\s*([^.]+)', 'important', 'edge_case'),
# Performance/behavior patterns
(r'(performance|speed|memory|optimization)\s+([^.]+)', 'nice-to-have', 'performance'),
(r'(depth|level|nesting)\s+([^.]+)', 'important', 'structural'),
]
# Extract requirements based on patterns
for pattern, priority, category in requirement_patterns:
matches = re.finditer(pattern, description, re.IGNORECASE)
for match in matches:
requirement_text = match.group(1) if match.groups() else match.group(0)
keywords = self._extract_keywords(requirement_text)
requirements.append(TestRequirement(
category=category,
description=requirement_text.strip(),
priority=priority,
keywords=keywords
))
# Add enhanced requirements if few found (especially for simple issues)
if len(requirements) <= 2:
title = issue_data.title if hasattr(issue_data, 'title') else issue_data.get('title', '')
# Extract more detailed requirements from title
title_words = title.lower().split()
# Add basic functionality requirement
requirements.append(TestRequirement(
category='basic_functionality',
description=f'Basic functionality: {title}',
priority='critical',
keywords=self._extract_keywords(title)
))
# Add specific requirements based on title analysis
if any(word in title_words for word in ['read', 'load', 'fetch', 'get']):
requirements.append(TestRequirement(
category='input_validation',
description='Input validation and file reading',
priority='critical',
keywords=['read', 'input', 'validation', 'file']
))
if any(word in title_words for word in ['store', 'save', 'write', 'database']):
requirements.append(TestRequirement(
category='storage_operation',
description='Data storage and persistence',
priority='critical',
keywords=['store', 'save', 'database', 'persistence']
))
if any(word in title_words for word in ['schema', 'json', 'format']):
requirements.append(TestRequirement(
category='format_handling',
description='Schema/format validation and processing',
priority='important',
keywords=['schema', 'json', 'format', 'validation']
))
# Add error handling requirement for all functionality
requirements.append(TestRequirement(
category='error_handling',
description='Error handling and edge cases',
priority='important',
keywords=['error', 'exception', 'validation', 'edge']
))
return requirements
def _extract_keywords(self, text: str) -> List[str]:
"""Extract relevant keywords from text."""
# Common technical keywords
keywords = []
text_lower = text.lower()
# Extract nouns and verbs that are likely important
important_patterns = [
r'\b(schema|json|markdown|ast|parse|generate|create|validate|convert|transform)\b',
r'\b(file|document|content|structure|element|heading|list|depth|level)\b',
r'\b(input|output|parameter|argument|result|data|format)\b',
r'\b(error|exception|validation|check|verify|ensure)\b'
]
for pattern in important_patterns:
matches = re.findall(pattern, text_lower)
keywords.extend(matches)
return list(set(keywords)) # Remove duplicates
def _find_existing_tests(self, issue_number: int) -> List[ExistingTest]:
"""Find existing tests related to the issue."""
existing_tests = []
tests_dir = Path('tests')
if not tests_dir.exists():
return existing_tests
# Find tests that mention the issue number
issue_patterns = [
f'test_issue_{issue_number}',
f'issue_{issue_number}',
f'#{issue_number}',
f'issue {issue_number}'
]
for test_file in tests_dir.glob('test_*.py'):
try:
content = test_file.read_text()
test_methods = self._extract_test_methods(content)
coverage_keywords = self._extract_coverage_keywords(content)
# Check if this test file is related to the issue
related_issue = None
for pattern in issue_patterns:
if pattern in content.lower():
related_issue = issue_number
break
existing_tests.append(ExistingTest(
file_path=test_file,
test_methods=test_methods,
coverage_keywords=coverage_keywords,
related_issue=related_issue
))
except (OSError, IOError, UnicodeDecodeError) as e:
# Skip files that can't be read due to file system or encoding issues
# Log the issue but continue processing other files
import logging
logging.getLogger(__name__).warning(
f"Could not read test file {test_file}: {e}"
)
continue
except Exception as e:
# Unexpected errors should be logged but not silently ignored
import logging
logging.getLogger(__name__).error(
f"Unexpected error processing test file {test_file}: {e}",
exc_info=True
)
continue
return existing_tests
def _extract_test_methods(self, content: str) -> List[str]:
"""Extract test method names from test file content."""
pattern = r'def\s+(test_[a-zA-Z_0-9]+)\s*\('
return re.findall(pattern, content)
def _extract_coverage_keywords(self, content: str) -> Set[str]:
"""Extract keywords that indicate what functionality is being tested."""
keywords = set()
content_lower = content.lower()
# Extract from test method names and docstrings
test_patterns = [
r'def\s+test_([a-zA-Z_0-9]+)',
r'"""([^"]+)"""',
r"'''([^']+)'''",
r'#\s*([^\n]+)'
]
for pattern in test_patterns:
matches = re.findall(pattern, content_lower)
for match in matches:
keywords.update(self._extract_keywords(match))
return keywords
def _identify_gaps(self, requirements: List[TestRequirement],
existing_tests: List[ExistingTest]) -> List[CoverageGap]:
"""Identify gaps between requirements and existing tests."""
gaps = []
# Get all covered keywords from existing tests
covered_keywords = set()
for test in existing_tests:
covered_keywords.update(test.coverage_keywords)
for requirement in requirements:
# Check if requirement is covered by existing tests
requirement_keywords = set(requirement.keywords)
if requirement_keywords:
coverage_overlap = requirement_keywords.intersection(covered_keywords)
# If less than 50% of keywords are covered, consider it a gap
coverage_ratio = len(coverage_overlap) / len(requirement_keywords)
if coverage_ratio < 0.5:
gap = self._create_coverage_gap(requirement)
gaps.append(gap)
else:
# If no keywords could be extracted, always consider it a gap
# (This prevents false positives where we can't determine coverage)
gap = self._create_coverage_gap(requirement)
gaps.append(gap)
return gaps
def _create_coverage_gap(self, requirement: TestRequirement) -> CoverageGap:
"""Create a coverage gap with suggestions."""
# Generate suggested test name
category_clean = requirement.category.replace('_', ' ').title().replace(' ', '')
suggested_name = f"test_{requirement.category}"
# Generate suggested file name
suggested_file = f"tests/test_{requirement.category}.py"
# Generate example test
example_test = self._generate_example_test(requirement)
return CoverageGap(
requirement=requirement,
suggested_test_name=suggested_name,
suggested_test_file=suggested_file,
example_test=example_test
)
def _generate_example_test(self, requirement: TestRequirement) -> str:
"""Generate an example test for a requirement."""
method_name = f"test_{requirement.category}"
return f'''def {method_name}(self):
"""Test {requirement.description}."""
# Arrange
# TODO: Set up test data for {requirement.description}
# Act
# TODO: Execute the functionality: {requirement.description}
# Assert
# TODO: Verify the expected behavior
assert True # Replace with actual assertions'''
def _calculate_coverage(self, requirements: List[TestRequirement],
existing_tests: List[ExistingTest]) -> float:
"""Calculate coverage percentage."""
if not requirements:
return 100.0
covered_requirements = 0
total_requirements = len(requirements)
# Get all covered keywords
covered_keywords = set()
issue_related_tests = []
for test in existing_tests:
if test.related_issue: # Only count tests specifically for this issue
covered_keywords.update(test.coverage_keywords)
issue_related_tests.append(test)
# If no issue-specific tests found, coverage should be 0%
if not issue_related_tests:
return 0.0
# Check coverage for each requirement
for requirement in requirements:
requirement_keywords = set(requirement.keywords)
if requirement_keywords:
# Need actual keyword overlap for coverage
coverage_ratio = len(requirement_keywords.intersection(covered_keywords)) / len(requirement_keywords)
if coverage_ratio >= 0.5: # Consider 50%+ keyword coverage as "covered"
covered_requirements += 1
else:
# If no keywords extracted, this requirement is NOT covered
# (This prevents false positives for untested functionality)
pass
return (covered_requirements / total_requirements) * 100 if total_requirements > 0 else 0.0
def _generate_recommendations(self, issue_data: Dict, gaps: List[CoverageGap]) -> List[str]:
"""Generate recommendations for improving test coverage."""
recommendations = []
if not gaps:
recommendations.append("✅ Good test coverage! All major requirements appear to be tested.")
return recommendations
# Prioritize recommendations by requirement priority
critical_gaps = [g for g in gaps if g.requirement.priority == 'critical']
important_gaps = [g for g in gaps if g.requirement.priority == 'important']
nice_gaps = [g for g in gaps if g.requirement.priority == 'nice-to-have']
if critical_gaps:
recommendations.append(f"🚨 CRITICAL: {len(critical_gaps)} critical requirements lack test coverage")
for gap in critical_gaps:
recommendations.append(f" - Add test for: {gap.requirement.description}")
if important_gaps:
recommendations.append(f"⚠️ IMPORTANT: {len(important_gaps)} important requirements need tests")
for gap in important_gaps[:3]: # Show top 3
recommendations.append(f" - Test needed: {gap.requirement.description}")
if nice_gaps:
recommendations.append(f"💡 ENHANCEMENT: {len(nice_gaps)} additional tests would improve coverage")
# Add specific recommendations
recommendations.append("📝 Recommended actions:")
issue_num = issue_data.number if hasattr(issue_data, 'number') else issue_data.get('number', 'X')
recommendations.append(f" 1. Use 'make tdd-start NUM={issue_num}' to create workspace")
recommendations.append(" 2. Use 'make tdd-add-test' to generate missing tests")
recommendations.append(" 3. Focus on critical requirements first")
return recommendations