Data router pydantic validation - #140
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This repository does not receive automatic reviews because it has fewer than 10 stars. ⚙️ Run configurationConfiguration used: defaults Review profile: CHILL Plan: Pro Plus Run ID: 📝 WalkthroughWalkthroughAdded strict Pydantic response models for data catalog, dataset years, dataset roots, and data attributes. Data services now construct these models, and router endpoints declare the corresponding success and not-found schemas. ChangesData response contracts
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to The PR adds response-model validation, but tabular responses can still accept arbitrary types and rows whose lengths do not match the declared columns, allowing malformed data through the router. This is a bounded correctness risk and is mergeable with explicit owner follow-up. Suggested reviewers: 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 2
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Inline comments:
In `@src/models/data_requestbody.py`:
- Around line 120-126: Update DataAttributesResponse so type is constrained to
Literal["tabular", "document", "graph"], and make data validation select
TabularData whenever type == "tabular" instead of allowing malformed tabular
dictionaries through the generic dict branch. Preserve support for document and
graph payloads.
- Around line 108-112: Add a model_validator with mode="after" to TabularData
that compares every row’s length against len(columns) and rejects any mismatch,
while preserving acceptance of rows with matching cardinality.
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ℹ️ Review info
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Configuration used: defaults
Review profile: CHILL
Plan: Pro Plus
Run ID: 3dbefe94-ca3b-4a77-8bf8-662fd26832ce
📒 Files selected for processing (4)
src/models/__init__.pysrc/models/data_requestbody.pysrc/routers/data_router.pysrc/services/data_service.py
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closes #139
Summary by CodeRabbit
New Features
Improvements