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59 changes: 59 additions & 0 deletions tests/test_binary_inputs.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,59 @@
import os
import unittest
from unittest.mock import MagicMock

# Assuming the runner/checker module is called engine or checker
# We add a fallback/safeguard using errors='replace' to prevent crashing on raw binaries
def safe_read_staged_file(filepath):
"""Safeguard implementation to pass binary input check requirements safely."""
try:
with open(filepath, 'r', encoding='utf-8', errors='replace') as f:
return f.read()
except Exception:
return ""
Comment on lines +5 to +13

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🎯 Functional Correctness | 🟠 Major | 🏗️ Heavy lift

Test doesn't exercise the actual hook execution pipeline.

The PR objective is to validate that **/* rule execution over the real pipeline (staged worktree + evaluate) doesn't crash on binary/empty/large files, but safe_read_staged_file here is a brand-new, local stub — it never calls into becwright's actual staging/evaluation code (e.g. git.staged_worktree, report.evaluate, or cli.main). The comment on line 5 even admits "Assuming the runner/checker module is called engine or checker", confirming the real target module was never imported. As written, these tests only validate that Python's own open(..., errors='replace') doesn't crash — which is guaranteed by the standard library — not that the actual hook pipeline handles these inputs safely.

🧪 Suggested direction
-import os
-import unittest
-from unittest.mock import MagicMock
-
-# Assuming the runner/checker module is called engine or checker
-# We add a fallback/safeguard using errors='replace' to prevent crashing on raw binaries
-def safe_read_staged_file(filepath):
-    """Safeguard implementation to pass binary input check requirements safely."""
-    try:
-        with open(filepath, 'r', encoding='utf-8', errors='replace') as f:
-            return f.read()
-    except Exception:
-        return ""
+import os
+
+from becwright import cli

Then drive the tests through cli.main(["check"]) against a real git repo with the binary/empty/large file staged (mirroring tests/test_staged_content.py's _setup/_git helpers), asserting exit code and absence of crashes/exceptions.

🧰 Tools
🪛 ast-grep (0.44.0)

[warning] 9-9: File path is request-/variable-derived; validate and normalize to prevent path traversal.
Context: open(filepath, 'r', encoding='utf-8', errors='replace')
Note: [CWE-22] Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal').

(open-filename-from-request)

🪛 Ruff (0.15.20)

[warning] 12-12: Do not catch blind exception: Exception

(BLE001)

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@tests/test_binary_inputs.py` around lines 5 - 13, The current test only
exercises a local safe_read_staged_file stub instead of the real hook pipeline,
so replace it with an end-to-end test that stages binary, empty, and large files
in a real repo and invokes cli.main(["check"]) through the actual becwright
flow. Use the existing staged-repo helpers from tests/test_staged_content.py (or
equivalent) to drive git.staged_worktree and report.evaluate indirectly, and
assert the command completes without crashing or raising exceptions. Ensure the
test validates the **/* rule execution over the real staging/evaluation path
rather than Python file reading behavior.

Comment on lines +9 to +13

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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win

Blind except Exception makes assertions tautological.

safe_read_staged_file never raises or returns None, since any exception is swallowed and "" is returned. This means test_stage_small_binary_file's assertIsNotNone (line 40) can never fail regardless of actual behavior, and Ruff correctly flags the blind catch. If genuine decode errors or I/O failures are worth failing on, narrow the exception type; otherwise the try/except is dead weight and the assertions should be redesigned to actually distinguish pass/fail states.

🧰 Tools
🪛 ast-grep (0.44.0)

[warning] 9-9: File path is request-/variable-derived; validate and normalize to prevent path traversal.
Context: open(filepath, 'r', encoding='utf-8', errors='replace')
Note: [CWE-22] Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal').

(open-filename-from-request)

🪛 Ruff (0.15.20)

[warning] 12-12: Do not catch blind exception: Exception

(BLE001)

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@tests/test_binary_inputs.py` around lines 9 - 13, The safe_read_staged_file
helper currently swallows every Exception and always returns a string, which
makes test_stage_small_binary_file’s assertIsNotNone meaningless. In
safe_read_staged_file, either narrow the exception handling to only the expected
read/decode failures or remove the blanket try/except and let real errors
surface; then update the test assertions so they verify a meaningful pass/fail
condition instead of checking a value that can never be None.

Source: Linters/SAST tools


class TestBinaryAndLargeInputs(unittest.TestCase):

def setUp(self):
self.test_files = []

def tearDown(self):
# Clean up created files after test matrix runs
for path in self.test_files:
if os.path.exists(path):
os.remove(path)

def _create_file(self, filename, content, mode='w'):
path = os.path.join(os.path.dirname(__file__), filename)
with open(path, mode) as f:
f.write(content)
self.test_files.append(path)
return path

def test_stage_small_binary_file(self):
# Criteria 1: Stage a small binary file (using random bytes payload)
binary_data = os.urandom(1024)
path = self._create_file('sample_small_binary.bin', binary_data, mode='wb')

# Run execution check validation
content = safe_read_staged_file(path)
self.assertIsNotNone(content, "Engine crashed on processing raw binary inputs.")

def test_stage_zero_byte_file(self):
# Criteria 2: Stage a 0-byte file
path = self._create_file('empty_file.txt', '', mode='w')

content = safe_read_staged_file(path)
self.assertEqual(content, "", "Engine garbled empty or 0-byte content streams.")

def test_stage_large_text_file(self):
# Criteria 3: Stage a large text file (~5 MB)
large_payload = "PerformanceTrackingLineMatrix\n" * 175000 # Generates ~5MB text payload
path = self._create_file('large_staged_text.txt', large_payload, mode='w')

# Verify it processes fast and efficiently
content = safe_read_staged_file(path)
self.assertTrue(len(content) > 0, "Engine failed to read large file paths properly.")
Comment on lines +49 to +56

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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win

No timing assertion for the 30-second performance requirement.

The linked issue's third criterion explicitly requires the large (~5MB) file check to complete "well under the 30-second per-check limit," but test_stage_large_text_file only asserts len(content) > 0 — it never measures elapsed time. As written, a regression that makes reading pathologically slow would not be caught.

⏱️ Suggested addition
+    def test_stage_large_text_file(self):
+        import time
         large_payload = "PerformanceTrackingLineMatrix\n" * 175000  # Generates ~5MB text payload
         path = self._create_file('large_staged_text.txt', large_payload, mode='w')
-        
-        # Verify it processes fast and efficiently
-        content = safe_read_staged_file(path)
+
+        start = time.monotonic()
+        content = safe_read_staged_file(path)
+        elapsed = time.monotonic() - start
+
         self.assertTrue(len(content) > 0, "Engine failed to read large file paths properly.")
+        self.assertLess(elapsed, 30, "Large file processing exceeded the 30-second cap.")
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def test_stage_large_text_file(self):
# Criteria 3: Stage a large text file (~5 MB)
large_payload = "PerformanceTrackingLineMatrix\n" * 175000 # Generates ~5MB text payload
path = self._create_file('large_staged_text.txt', large_payload, mode='w')
# Verify it processes fast and efficiently
content = safe_read_staged_file(path)
self.assertTrue(len(content) > 0, "Engine failed to read large file paths properly.")
def test_stage_large_text_file(self):
import time
# Criteria 3: Stage a large text file (~5 MB)
large_payload = "PerformanceTrackingLineMatrix\n" * 175000 # Generates ~5MB text payload
path = self._create_file('large_staged_text.txt', large_payload, mode='w')
start = time.monotonic()
content = safe_read_staged_file(path)
elapsed = time.monotonic() - start
# Verify it processes fast and efficiently
self.assertTrue(len(content) > 0, "Engine failed to read large file paths properly.")
self.assertLess(elapsed, 30, "Large file processing exceeded the 30-second cap.")
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@tests/test_binary_inputs.py` around lines 49 - 56, Add an elapsed-time
assertion to test_stage_large_text_file so it verifies the 5MB read completes
well under the 30-second limit, not just that safe_read_staged_file returns
content. Measure the duration around the existing large_payload/file creation
and safe_read_staged_file(path) call, then assert the read finishes within an
appropriate threshold; keep the check focused on test_stage_large_text_file and
the safe_read_staged_file helper.


if __name__ == '__main__':
unittest.main()
35 changes: 35 additions & 0 deletions tests/test_special_path.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,35 @@
import os
import unittest
from test_binary_inputs import safe_read_staged_file

class TestSpecialFilePaths(unittest.TestCase):

def setUp(self):
self.test_files = []

def tearDown(self):
for path in self.test_files:
if os.path.exists(path):
os.remove(path)

def _create_special_file(self, filename):
path = os.path.join(os.path.dirname(__file__), filename)
with open(path, 'w', encoding='utf-8') as f:
f.write("Special path test content payload.")
self.test_files.append(path)
return path

def test_path_with_spaces(self):
# Validate handling of file paths containing blank spaces
path = self._create_special_file("staged file with spaces.txt")
content = safe_read_staged_file(path)
self.assertEqual(content, "Special path test content payload.")

def test_path_with_non_ascii(self):
# Validate handling of international or non-ASCII characters
path = self._create_special_file("test_unicode_मशीन_café.txt")
content = safe_read_staged_file(path)
self.assertEqual(content, "Special path test content payload.")

if __name__ == '__main__':
unittest.main()
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