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"""
Assert-to-Test Ratio Tracker for Atom Test Suite
This script tracks the assert-to-test ratio to detect coverage gaming (high coverage,
few assertions). Tests with low assert counts (< 2) are flagged as low-quality.
Industry Standard: 2-3 asserts per test (Google Testing Blog, Martin Fowler)
Usage:
python assert_test_ratio_tracker.py tests/ --min-ratio 2.0
python assert_test_ratio_tracker.py tests/ --format json --output report.json
python assert_test_ratio_tracker.py tests/test_governance.py --min-ratio 2.0
Exit Codes:
0: All tests meet assert ratio threshold
1: Average assert ratio below threshold (low-quality tests detected)
2: Error in execution
"""
import argparse
import ast
import json
import sys
from pathlib import Path
from typing import List, Dict, Any, Optional
# Constants
DEFAULT_MIN_RATIO = 2.0
DEFAULT_OUTPUT_FORMAT = "text"
class AssertCountVisitor(ast.NodeVisitor):
"""
AST visitor to count assert statements per test function.
Identifies test functions (name starts with 'test_') and counts
assert statements within each function body.
"""
def __init__(self):
"""Initialize visitor with empty test function list."""
self.test_functions: List[Dict[str, Any]] = []
self.current_function: Optional[Dict[str, Any]] = None
self._in_parameterized_test = False
def visit_FunctionDef(self, node: ast.FunctionDef) -> None:
"""
Visit function definition nodes.
Args:
node: AST FunctionDef node
"""
# Check if this is a test function
is_test = node.name.startswith("test_")
if is_test:
# Check for pytest.mark.parametrize decorator
self._in_parameterized_test = self._has_parametrize_decorator(node)
# Create test function record
self.current_function = {
"name": node.name,
"lineno": node.lineno,
"assert_count": 0,
"parameterized": self._in_parameterized_test
}
# Visit function body to count asserts
self.generic_visit(node)
# Add to list if it was a test function
if is_test and self.current_function is not None:
self.test_functions.append(self.current_function)
# Reset
self.current_function = None
self._in_parameterized_test = False
def visit_Assert(self, node: ast.Assert) -> None:
"""
Visit assert statement nodes.
Args:
node: AST Assert node
"""
if self.current_function is not None:
self.current_function["assert_count"] += 1
def _has_parametrize_decorator(self, node: ast.FunctionDef) -> bool:
"""
Check if function has pytest.mark.parametrize decorator.
Args:
node: AST FunctionDef node
Returns:
True if parametrize decorator found
"""
for decorator in node.decorator_list:
# Check for @pytest.mark.parametrize
if isinstance(decorator, ast.Attribute):
if (isinstance(decorator.value, ast.Attribute) and
decorator.value.attr == "mark" and
decorator.attr == "parametrize"):
return True
# Check for @pytest.mark.parametrize("arg", [...])
if isinstance(decorator, ast.Call):
if (isinstance(decorator.func, ast.Attribute) and
isinstance(decorator.func.value, ast.Attribute) and
decorator.func.value.attr == "mark" and
decorator.func.attr == "parametrize"):
return True
return False
def analyze_test_file(file_path: Path) -> List[Dict[str, Any]]:
"""
Analyze a test file and count asserts per test function.
Args:
file_path: Path to test file
Returns:
List of test function dicts with assert counts
"""
try:
with open(file_path, 'r', encoding='utf-8') as f:
source_code = f.read()
except (IOError, UnicodeDecodeError) as e:
print(f"Warning: Could not read {file_path}: {e}", file=sys.stderr)
return []
try:
tree = ast.parse(source_code, filename=str(file_path))
except SyntaxError as e:
print(f"Warning: Syntax error in {file_path}: {e}", file=sys.stderr)
return []
visitor = AssertCountVisitor()
visitor.visit(tree)
# Add file path to each test function
for test_func in visitor.test_functions:
test_func["file"] = str(file_path)
# Try to make relative to current working directory
try:
test_func["file_short"] = str(file_path.relative_to(Path.cwd()))
except ValueError:
# If file is not under cwd, use absolute path
test_func["file_short"] = str(file_path)
return visitor.test_functions
def calculate_assert_ratio(
tests: List[Dict[str, Any]],
min_ratio: float,
include_parameterized: bool = False
) -> Dict[str, Any]:
"""
Calculate assert-to-test ratio and identify low-quality tests.
Args:
tests: List of test function dicts
min_ratio: Minimum assert ratio threshold
include_parameterized: Include parameterized tests in calculation
Returns:
Dict with ratio metrics and low-quality test list
"""
# Filter tests based on parameterized flag
if include_parameterized:
filtered_tests = tests
else:
filtered_tests = [t for t in tests if not t.get("parameterized", False)]
if not filtered_tests:
return {
"total_tests": 0,
"total_asserts": 0,
"avg_ratio": 0.0,
"low_quality_tests": [],
"parameterized_tests_excluded": len(tests) - len(filtered_tests)
}
# Calculate totals
total_asserts = sum(t["assert_count"] for t in filtered_tests)
total_tests = len(filtered_tests)
avg_ratio = total_asserts / total_tests if total_tests > 0 else 0.0
# Identify low-quality tests (< min_ratio asserts)
low_quality_tests = [
t for t in filtered_tests
if t["assert_count"] < min_ratio
]
return {
"total_tests": total_tests,
"total_asserts": total_asserts,
"avg_ratio": round(avg_ratio, 2),
"low_quality_tests": low_quality_tests,
"parameterized_tests_excluded": len(tests) - len(filtered_tests)
}
def find_test_files(test_path: Path) -> List[Path]:
"""
Find all test files in directory recursively.
Args:
test_path: Path to tests directory or file
Returns:
List of test file paths
"""
if test_path.is_file():
return [test_path]
# Find all test_*.py files recursively
test_files = list(test_path.rglob("test_*.py"))
return test_files
def print_text_report(
ratio_metrics: Dict[str, Any],
min_ratio: float,
verbose: bool = False
) -> None:
"""
Print text format report to stdout.
Args:
ratio_metrics: Ratio calculation results
min_ratio: Minimum ratio threshold
verbose: Enable verbose output
"""
print("\n" + "=" * 70)
print("ASSERT-TO-TEST RATIO REPORT")
print("=" * 70)
print(f"\nTotal Tests: {ratio_metrics['total_tests']}")
print(f"Total Asserts: {ratio_metrics['total_asserts']}")
print(f"Average Asserts/Test: {ratio_metrics['avg_ratio']:.2f}")
print(f"Minimum Threshold: {min_ratio:.2f}")
if ratio_metrics.get("parameterized_tests_excluded", 0) > 0:
print(f"\n(Parameterized tests excluded: {ratio_metrics['parameterized_tests_excluded']})")
print("")
# Low-quality tests
low_quality = ratio_metrics["low_quality_tests"]
if low_quality:
print("-" * 70)
print("LOW-QUALITY TESTS DETECTED:")
print("-" * 70)
print(f"\nTests with < {min_ratio} assert(s): {len(low_quality)}\n")
# Sort by assert count (lowest first)
sorted_tests = sorted(low_quality, key=lambda t: t["assert_count"])
# Show top 10
for test in sorted_tests[:10]:
file_short = test.get("file_short", test["file"])
print(f" {file_short}::{test['name']} (line {test['lineno']})")
print(f" → {test['assert_count']} assert(s)")
if len(low_quality) > 10:
print(f"\n ... and {len(low_quality) - 10} more")
print("\n" + "=" * 70)
print("STATUS: LOW-QUALITY TESTS FOUND ✗")
print("=" * 70)
print("\nRECOMMENDED ACTIONS:")
print(" 1. Add more assertions to validate expected behavior")
print(" 2. Check for missing edge case testing")
print(" 3. Verify assertions actually test behavior (not just None checks)")
print(" 4. Consider splitting complex tests into multiple focused tests")
print("=" * 70 + "\n")
else:
print("=" * 70)
print("STATUS: ALL TESTS MEET QUALITY THRESHOLD ✓")
print("=" * 70 + "\n")
# Verbose: List all tests if requested
if verbose and ratio_metrics['total_tests'] > 0:
print("\nVerbose Output:")
print("All test functions analyzed (excluding parameterized):")
print(f" Total: {ratio_metrics['total_tests']} tests")
print(f" Low-quality: {len(low_quality)} tests")
print(f" Quality: {((ratio_metrics['total_tests'] - len(low_quality)) / ratio_metrics['total_tests'] * 100):.1f}% pass rate\n")
def print_json_report(
ratio_metrics: Dict[str, Any],
output_path: Optional[Path] = None
) -> None:
"""
Print or save JSON format report.
Args:
ratio_metrics: Ratio calculation results
output_path: Optional path to save JSON file
"""
# Format for JSON output
output_data = {
"total_tests": ratio_metrics["total_tests"],
"total_asserts": ratio_metrics["total_asserts"],
"avg_ratio": ratio_metrics["avg_ratio"],
"low_quality_count": len(ratio_metrics["low_quality_tests"]),
"parameterized_excluded": ratio_metrics.get("parameterized_tests_excluded", 0),
"low_quality_tests": [
{
"file": t.get("file_short", t["file"]),
"name": t["name"],
"lineno": t["lineno"],
"assert_count": t["assert_count"]
}
for t in ratio_metrics["low_quality_tests"]
]
}
json_str = json.dumps(output_data, indent=2)
if output_path:
output_path.parent.mkdir(parents=True, exist_ok=True)
with open(output_path, 'w') as f:
f.write(json_str)
print(f"JSON report saved to: {output_path}\n")
else:
print(json_str + "\n")
def main():
"""Main entry point for assert-to-test ratio tracking."""
parser = argparse.ArgumentParser(
description="Track assert-to-test ratio to detect coverage gaming",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
python assert_test_ratio_tracker.py tests/
python assert_test_ratio_tracker.py tests/ --min-ratio 2.0 --format json --output report.json
python assert_test_ratio_tracker.py tests/test_governance.py --min-ratio 3.0
Exit Codes:
0: All tests meet assert ratio threshold
1: Average assert ratio below threshold
2: Error in execution
Industry Standard:
2-3 asserts per test (Google Testing Blog, Martin Fowler)
How it works:
1. Scans all test_*.py files recursively
2. Parses Python AST to identify test functions
3. Counts assert statements per test function
4. Calculates average asserts per test
5. Flags tests with < N asserts as low-quality
6. Excludes parameterized tests (pytest.mark.parametrize)
Coverage Gaming Detection:
- High coverage % + Low assert count = Tests execute code but don't validate behavior
- Example: 90% coverage with 1.0 avg asserts/test indicates low-quality tests
- Target: 2.0+ avg asserts/test for meaningful test coverage
"""
)
parser.add_argument(
"test_path",
type=Path,
help="Path to tests directory or specific test file"
)
parser.add_argument(
"--min-ratio",
type=float,
default=DEFAULT_MIN_RATIO,
help=f"Minimum asserts per test threshold (default: {DEFAULT_MIN_RATIO})"
)
parser.add_argument(
"--format",
type=str,
choices=["text", "json"],
default=DEFAULT_OUTPUT_FORMAT,
help="Output format (default: text)"
)
parser.add_argument(
"--output",
type=Path,
default=None,
help="Output path for JSON report (default: stdout)"
)
parser.add_argument(
"--include-parameterized",
action="store_true",
help="Include parameterized tests in ratio calculation (default: excluded)"
)
parser.add_argument(
"--verbose",
action="store_true",
help="Enable verbose output"
)
args = parser.parse_args()
# Validate test path
if not args.test_path.exists():
print(f"Error: Test path not found: {args.test_path}", file=sys.stderr)
sys.exit(2)
# Find all test files
test_files = find_test_files(args.test_path)
if not test_files:
print(f"Error: No test files found in: {args.test_path}", file=sys.stderr)
sys.exit(2)
print(f"Scanning {len(test_files)} test files...\n")
# Analyze all test files
all_tests = []
for test_file in test_files:
tests = analyze_test_file(test_file)
if tests:
all_tests.extend(tests)
if not all_tests:
print("Error: No test functions found", file=sys.stderr)
sys.exit(2)
# Calculate assert ratio
ratio_metrics = calculate_assert_ratio(
all_tests,
args.min_ratio,
args.include_parameterized
)
# Print report
if args.format == "text":
print_text_report(ratio_metrics, args.min_ratio, args.verbose)
else:
print_json_report(ratio_metrics, args.output)
# Exit with code based on ratio
if ratio_metrics["avg_ratio"] < args.min_ratio:
sys.exit(1)
else:
sys.exit(0)
if __name__ == "__main__":
main()
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