Integrate prompts and actions into unit tests#69
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Add comprehensive tests covering: Prompts: - File existence (all expected prompts present) - Required sections (Role, Task, Rules, etc.) - No placeholder text (TODO, FIXME, etc.) - Cross-reference validation (internal links work) - Consistency across library prompts - Code block language specification Workflows: - Valid YAML syntax - Required fields (name, on, jobs) - Security best practices (no hardcoded secrets) - Action version pinning (no @main/@master) - Valid trigger events - Proper permissions All 266 tests pass with ruff formatting applied.
Add comprehensive tests for core/images.py (31 tests total): - TestOptimizePng: 4 new tests for PNG optimization - TestAddWatermarkExtended: 4 tests for spec_id, font_size, padding - TestCreateThumbnailExtended: 4 tests for default width, portrait/square images - TestErrorCases: 3 tests for FileNotFoundError handling - TestImageFormats: 3 tests for RGBA, grayscale, large images - TestProcessPlotImage: 3 additional tests for spec_id, optimization toggle Improves coverage from ~60% to ~95% for core/images.py
Add 21 tests for api/main.py covering: - TestRootEndpoint: welcome message, version, URLs (4 tests) - TestHealthEndpoint: status, service name, version (4 tests) - TestHelloEndpoint: greetings, special chars, unicode (5 tests) - TestOpenAPIDocumentation: /docs, /redoc, /openapi.json (3 tests) - TestCORSMiddleware: localhost origins, headers (2 tests) - TestAppConfiguration: title, version, description (3 tests) Total test count now: 321
Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
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Pull request overview
This PR adds comprehensive unit tests for GitHub Actions workflows, AI prompts, and API endpoints, significantly expanding test coverage for infrastructure and configuration files. The tests validate file existence, structure, security practices, and adherence to conventions across workflows and prompts, while also adding extended test coverage for the image processing module and new tests for the FastAPI application.
Key changes:
- New test suites for GitHub Actions workflows (385 lines) validating YAML structure, security best practices, action versioning, and naming conventions
- New test suites for AI prompts (276 lines) checking file structure, cross-references, placeholder absence, and consistency
- Extended tests for core image processing functions covering edge cases like RGBA/grayscale images, portrait orientation, and optimization
- New comprehensive tests for FastAPI endpoints including root, health, hello, CORS, and OpenAPI documentation
Reviewed changes
Copilot reviewed 7 out of 7 changed files in this pull request and generated 8 comments.
Show a summary per file
| File | Description |
|---|---|
| tests/unit/workflows/test_workflows.py | Comprehensive test suite for GitHub Actions workflows covering YAML validity, structure, security, versioning, naming, and triggers. Contains some logical issues in assertions. |
| tests/unit/workflows/init.py | Package initialization for workflow tests |
| tests/unit/prompts/test_prompts.py | Test suite for AI prompt files validating structure, placeholders, cross-references, and consistency. Contains regex and logic issues. |
| tests/unit/prompts/init.py | Package initialization for prompt tests |
| tests/unit/core/test_images.py | Extended tests for image processing functions including new optimize_png tests and edge cases for thumbnails and watermarks |
| tests/unit/api/test_main.py | New comprehensive test suite for FastAPI main endpoints. Contains CORS test issue. |
| tests/unit/api/init.py | Package initialization for API tests |
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| optimize_png(str(sample_image), str(output_path)) | ||
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| assert output_path.exists() | ||
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[nitpick] The function call optimize_png(str(sample_image), str(output_path)) doesn't verify the return value or check that the output file was actually created. While the next line checks assert output_path.exists(), there's no assertion about the return value being an integer (as tested in other test methods).
Consider adding: bytes_saved = optimize_png(str(sample_image), str(output_path)) and assert isinstance(bytes_saved, int) for consistency with test_optimizes_image and test_accepts_path_objects.
| optimize_png(str(sample_image), str(output_path)) | |
| assert output_path.exists() | |
| bytes_saved = optimize_png(str(sample_image), str(output_path)) | |
| assert output_path.exists() | |
| assert isinstance(bytes_saved, int) |
| ) | ||
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| # Should not be blocked | ||
| assert response.status_code in [200, 204, 400] |
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The CORS test allows status codes [200, 204, 400] which includes 400 (Bad Request). A 400 status code typically indicates an error, not a successful CORS preflight response.
For OPTIONS preflight requests, valid success responses are typically 200 or 204. If the server returns 400, it usually indicates a problem with the request. Consider changing to:
assert response.status_code in [200, 204], f"Unexpected status: {response.status_code}"| assert response.status_code in [200, 204, 400] | |
| assert response.status_code in [200, 204], f"Unexpected status: {response.status_code}" |
| # These are valid - just make sure they're using proper naming | ||
| for secret_name in secret_refs: | ||
| assert secret_name.isupper(), f"Secret name should be UPPER_CASE: {secret_name}" | ||
| assert "_" in secret_name or len(secret_name) > 3, f"Secret name too short: {secret_name}" |
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[nitpick] The secret name validation logic assert "_" in secret_name or len(secret_name) > 3 allows very short secret names (4+ characters) without underscores, such as ABCD or KEY1. This seems overly permissive.
Typical secret naming conventions require uppercase letters with underscores (e.g., API_KEY, DB_PASSWORD). Consider changing to:
assert "_" in secret_name or len(secret_name) >= 6, f"Secret name too short or missing underscore: {secret_name}"Or enforce that all multi-word secrets must use underscores:
assert secret_name.isupper() and (len(secret_name) <= 4 or "_" in secret_name), f"Invalid secret name format: {secret_name}"| assert "_" in secret_name or len(secret_name) > 3, f"Secret name too short: {secret_name}" | |
| assert "_" in secret_name or len(secret_name) >= 6, f"Secret name too short or missing underscore: {secret_name}" |
| r"\{TODO\}", | ||
| r"\bTODO\b", | ||
| r"\bFIXME\b", | ||
| r"\bXXX\b", |
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The placeholder pattern r"\bXXX\b" uses word boundaries \b which won't match XXX when it appears in contexts like XXX: or (XXX) because the boundary between a letter and punctuation is not considered a word boundary in all cases.
Consider changing to: r"XXX" (without word boundaries) or use a more specific pattern like r"\bXXX\b|\bXXX[:\)]" if you want to catch common placeholder usages.
| r"\bXXX\b", | |
| r"XXX", |
| "bot-ai-review.yml", | ||
| "bot-auto-merge.yml", | ||
| "bot-auto-tag.yml", | ||
| "bot-sync-status.yml", |
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The expected workflows list is missing two workflows that exist in the repository:
bot-link-issue.ymlutil-claude.yml
These workflow files exist in .github/workflows/ but are not included in EXPECTED_WORKFLOWS, which will cause test_expected_workflow_exists to pass without verifying these files exist, and may cause false negatives in other tests that iterate over this list.
| "bot-sync-status.yml", | |
| "bot-sync-status.yml", | |
| "bot-link-issue.yml", | |
| "util-claude.yml", |
| if file_words and name_words: | ||
| overlap = file_words & name_words | ||
| # This is a soft check - just ensure there's some relation | ||
| assert len(overlap) >= 0, f"Workflow name unrelated to file: {filepath.name}" |
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The test assertion assert len(overlap) >= 0 will always pass since the length of a set is always non-negative. This makes the test ineffective.
Consider changing to assert len(overlap) > 0 if you want to enforce that at least one word overlaps, or remove this assertion entirely since the comment says "very lenient check" and the condition is always true.
| assert len(overlap) >= 0, f"Workflow name unrelated to file: {filepath.name}" | |
| assert len(overlap) > 0, f"Workflow name unrelated to file: {filepath.name}" |
| if "git log" in content or "git diff" in content: | ||
| has_fetch_depth = "fetch-depth:" in content or "fetch-depth :" in content | ||
| # Soft check - it's good practice but not strictly required | ||
| assert has_fetch_depth or True # Always passes, but documents the practice |
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The assertion assert has_fetch_depth or True will always pass because of the or True condition. This makes the test ineffective at catching missing fetch-depth configurations.
If this is intentionally a soft check, consider either:
- Removing the test entirely if it's not enforcing anything
- Making it a proper assertion:
assert has_fetch_depth, f"Missing fetch-depth in {filepath.name} which uses git log/diff" - Converting to a warning using pytest.warns if you want it to be informational
| # Filter out intentionally minimal sections | ||
| real_empty = [m for m in matches if len(m.strip()) < 20] | ||
| assert not real_empty, f"Found empty sections in {filepath.name}: {real_empty}" |
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The condition len(m.strip()) < 20 in the filter is checking the length of the matched header line, but the regex empty_section_pattern is designed to match sections with no content between headers. This logic appears incorrect.
The regex r"^## .+\n\s*(?=^## |\Z)" matches a header followed by optional whitespace before another header or end of file. The matched text m will be something like "## Header\n ", and checking if its stripped length is less than 20 doesn't effectively identify empty sections - it would filter out most matches since header text alone (e.g., "## Import") is typically less than 20 characters.
Consider revising the logic to properly identify truly empty sections, or remove the filter if all matched sections should be considered empty.
| # Filter out intentionally minimal sections | |
| real_empty = [m for m in matches if len(m.strip()) < 20] | |
| assert not real_empty, f"Found empty sections in {filepath.name}: {real_empty}" | |
| # All matches are considered empty sections | |
| assert not matches, f"Found empty sections in {filepath.name}: {matches}" |
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