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IndexError crash when pytest collection/execution fails (empty test_results) #450

@Serhan-Asad

Description

@Serhan-Asad

Summary

PDD crashes with IndexError: list index out of range when pytest fails to collect or execute tests, returning an empty test_results list. This affects the core fix loop functionality and occurs in 16+ different real-world scenarios.

Location

File: pdd/fix_error_loop.py
Line: 213
Function: run_pytest_on_file()

# Buggy code:
results = output_data.get("test_results", [{}])[0]  

## Root Cause

The code assumes `test_results` will always have at least one element. The default value `[{}]` only applies when the key is **missing**, not when it exists with an **empty list**.

```python
# When key is missing:
{}.get("test_results", [{}])  # → [{}] 

# When key exists but is empty (the bug):
{"test_results": []}.get("test_results", [{}])  # → [] 
# Then [0] → IndexError!

When This Happens (16+ Scenarios)

Category 1: Collection Errors

  1. Import errors - ImportError: No module named 'flask'
  2. Syntax errors - SyntaxError: invalid syntax
  3. Circular imports - cannot import name 'X' from partially initialized module
  4. Missing fixtures - fixture 'db' not found
  5. Encoding errors - UnicodeDecodeError: 'utf-8' codec can't decode

Category 2: File/Path Issues

  1. Permission denied - PermissionError: [Errno 13] Permission denied
  2. File not found - file or directory not found: test_missing.py
  3. Wrong directory - ModuleNotFoundError: No module named 'src'

Category 3: Configuration Issues

  1. Config errors - usage: unrecognized arguments: --invalid
  2. Plugin failures - plugin 'pytest_django' failed to load
  3. Venv not activated - ModuleNotFoundError: No module named 'pytest'

Category 4: Test Collection Results

  1. No tests found - collected 0 items
  2. Empty test file - File has no test functions
  3. All tests skipped - collected 5 items / 5 skipped

Category 5: System Issues

  1. Pytest crash - Segmentation fault (core dumped)
  2. Collection timeout - Timeout during collection

Example User Scenario

run pdd fix on a test with a missing import:

# tests/test_api.py
def test_login():
    response = client.post('/login')  # NameError - client not imported
    assert response.status_code == 200

Expected:

Pytest collection failed: NameError: name 'client' is not defined
Check for missing imports in your test file

Actual:

Traceback (most recent call last):
  File "pdd/fix_error_loop.py", line 213, in run_pytest_on_file
    results = output_data.get("test_results", [{}])[0]
IndexError: list index out of range

Users blame PDD instead of recognizing their test error.

Reproduction

Test Case

# Simulates pytest collection failure
output_data = {
    "test_results": [],  # Empty list
    "stdout": "ERROR: ImportError: No module named 'flask'",
    "exit_code": 1
}

# This crashes:
results = output_data.get("test_results", [{}])[0]
# IndexError: list index out of range

Verified: Bug confirmed and reproducible

Additional Edge Cases Discovered

Beyond empty lists, we also need to handle:

  • test_results: None → TypeError
  • test_results: "error" → Wrong behavior
  • test_results: {} → KeyError
  • test_results: [None] → Invalid data

Proposed Fix

Robust Solution (with type validation)

def run_pytest_on_file(test_file: str, extra_files: list[str] | None = None) -> tuple[int, int, int, str]:
    """
    Run pytest on the specified test file using the subprocess-based runner.
    Returns a tuple: (failures, errors, warnings, logs)
    """
    output_data = run_pytest_and_capture_output(test_file, extra_files=extra_files)
    
    # Get test results with validation
    test_results_list = output_data.get("test_results", [])
    
    # Type check - handle malformed data
    if not isinstance(test_results_list, list):
        error_msg = output_data.get("stdout", "") or output_data.get("stderr", "")
        logger.error(f"Invalid test results format: {type(test_results_list).__name__}")
        return 0, 1, 0, f"Pytest returned invalid data: {error_msg[:200]}"
    
    # Empty check - handle collection/execution failures
    if not test_results_list:
        error_msg = output_data.get("stdout", "") or output_data.get("stderr", "")
        
        # Provide helpful error messages based on common patterns
        if "ImportError" in error_msg or "ModuleNotFoundError" in error_msg:
            helpful_msg = "Pytest collection failed: Missing import or dependency"
        elif "SyntaxError" in error_msg:
            helpful_msg = "Pytest collection failed: Syntax error in test file"
        elif "no tests ran" in error_msg or "collected 0 items" in error_msg:
            helpful_msg = "Pytest collection failed: No tests found"
        elif "PermissionError" in error_msg:
            helpful_msg = "Pytest collection failed: Permission denied"
        else:
            helpful_msg = "Pytest collection or execution failed"
        
        logger.warning(f"{helpful_msg}: {error_msg[:200]}")
        return 0, 1, 0, f"{helpful_msg}\n\n{error_msg}"
    
    # Safe access
    results = test_results_list[0]
    
    # Validate result structure
    if not isinstance(results, dict):
        logger.error(f"Invalid result structure: {type(results).__name__}")
        return 0, 1, 0, f"Pytest returned invalid result format"
    
    # Extract metrics
    failures = results.get("failures", 0)
    errors = results.get("errors", 0)
    warnings = results.get("warnings", 0)
    
    # Combine stdout/stderr for the log
    logs = (results.get("standard_output", "") or "") + "\n" + (results.get("standard_error", "") or "")
    
    return failures, errors, warnings, logs

Benefits

  • Handles all 16+ failure scenarios gracefully
  • Provides helpful error messages to users
  • Includes type validation for robustness
  • Logs issues for debugging
  • Returns error counts (0, 1, 0) to signal collection failure

Testing

Comprehensive testing confirmed:

  • All 16 scenarios cause IndexError with current code
  • Proposed fix handles all scenarios gracefully
  • Edge cases (None, string, dict) also covered

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