refactor: consolidate skill docs, add anti-drift tests, and apply audit fixes

DLO-13: Restructure vlm-library-workflow skill as safety contract layer.
- Rewrite SKILL.md (69 lines): safety contract, execution threshold semantics,
  six-step high-risk loop, decision rules, phase skeleton
- Delete redundant references (cli-reference, workflow, command-recipes, dev-guide)
- Add triage.md (failure mapping + preflight) and dev-map.md (module→test mapping)
- Add tests/test_docs_consistency.py: 78 parametrized tests verifying documented
  vlm commands exist in CLI registry
- Add CSV path mismatch test to test_plan_review.py (4th safety gate path)
- Delete vlm-expert.skill (Gemini package, 7 months stale) and README Gemini section

DLO-2 audit fixes: rate limiter injection, symmetric quarantine categories,
review-plan safety gates, parser improvements, planner validation.

CLI modularization: commands/ directory with one module per command group.
This commit is contained in:
windyboy
2026-09-25 13:50:09 +08:00
parent c7a55190d7
commit dfa18ed405
35 changed files with 1116 additions and 621 deletions
+67
View File
@@ -565,3 +565,70 @@ def _format_duration(duration_seconds: float) -> str:
parts.append(f"{seconds}s")
return " ".join(parts)
def completeness_from_analysis(analysis_data: dict) -> list[SeasonCompleteness]:
"""Build SeasonCompleteness records from analysis JSON."""
result: list[SeasonCompleteness] = []
for row in analysis_data.get("completeness", []) or []:
result.append(
SeasonCompleteness(
series_title=row["series_title"],
season=row["season"],
episodes_found=row["episodes_found"],
episodes_missing=row["episodes_missing"],
)
)
return result
def duplicate_groups_from_analysis(analysis_data: dict) -> list[DuplicateGroup]:
"""Build DuplicateGroup records from analysis JSON."""
groups: list[DuplicateGroup] = []
for dup in analysis_data.get("duplicates", []) or []:
identity_data = dup["identity"]
if identity_data["type"] == "movie":
identity = MovieIdentity(
title=identity_data["title"],
year=identity_data.get("year"),
confidence=1.0,
needs_review=False,
original_filename="",
)
else:
identity = SeriesIdentity(
title=identity_data["title"],
season=identity_data.get("season"),
episodes=identity_data.get("episodes", []),
confidence=1.0,
needs_review=False,
original_filename="",
)
quality_by_path = {
str(item.get("path", "")): item for item in dup.get("quality_comparison", [])
}
files: list[VideoFile] = []
for file_path in dup.get("files", []) or []:
quality = quality_by_path.get(str(file_path), {})
files.append(
VideoFile(
path=Path(file_path),
filename=Path(file_path).name,
size_bytes=int(quality.get("size_bytes", 0) or 0),
modified_timestamp=datetime.now(timezone.utc),
category="",
resolution=quality.get("resolution"),
codec=quality.get("codec"),
duration_seconds=quality.get("duration_seconds"),
bitrate_kbps=quality.get("bitrate_kbps"),
)
)
groups.append(
DuplicateGroup(
identity=identity,
files=files,
quality_comparison=dup.get("quality_comparison", []),
)
)
return groups