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@felixjordandev felixjordandev commented Nov 21, 2025

This PR introduces the foundational SummaryEngine base class, preparing the system for advanced report summarization.

Changes

  • Created a new directory app/services/summary/ to house summarization logic.
  • Implemented summary_engine.py with the SummaryEngine base class.
  • Defined abstract methods generate_scores(data) and build_final_summary(nlg_outputs, scores).
  • Included placeholders for future integration of risk factors and agent confidence levels within the summary generation process.

Summary by CodeRabbit

  • Refactor
    • Enhanced internal summary generation infrastructure with improved abstraction layer for better code organization and maintainability.

✏️ Tip: You can customize this high-level summary in your review settings.

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coderabbitai bot commented Nov 21, 2025

Walkthrough

Introduces a new abstract base class SummaryEngine defining two abstract methods: generate_scores() for computing float scores from input data, and build_final_summary() for constructing final summaries from NLG outputs and scores. The class serves as a template for concrete summary generation implementations.

Changes

Cohort / File(s) Change Summary
New abstract base class
backend/app/services/summary/summary_engine.py
Introduces SummaryEngine abstract base class with two abstract methods: generate_scores(data) returning Dict[str, float] and build_final_summary(nlg_outputs, scores) returning str. Includes docstrings for both methods.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~5 minutes

  • Single new file with minimal complexity (abstract base class definition)
  • Two straightforward abstract method signatures with clear type hints
  • No logic implementation, no complex control flow
  • No cross-file dependencies introduced

Poem

🐰 A base for summaries, abstract and true,
With scores to compute and finals to brew,
Two methods await their concrete form,
A template so clean, a well-structured norm,
Let future implementations bloom! ✨

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title accurately captures the main change: introducing a new abstract base class SummaryEngine for report summarization functionality.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
✨ Finishing touches
  • 📝 Generate docstrings
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch feat/add-summary-engine

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Actionable comments posted: 0

🧹 Nitpick comments (2)
backend/app/services/summary/summary_engine.py (2)

8-27: Good abstraction; consider tightening input typing for future extensibility

The base class shape and docstring are clear and give a good extension point. Given you already anticipate “risk factors” and “agent confidence levels,” you might soon outgrow data: Dict[str, Any]. Consider introducing a typed structure (e.g., a TypedDict or dataclass that the engine consumes) so concrete implementations share a stable contract instead of relying on ad‑hoc dict keys.


28-40: Clarify expectations around key alignment and error handling in build_final_summary

The method signature looks good, but the docstring doesn’t say what happens if nlg_outputs and scores have mismatched or missing keys, or whether implementations should assume alignment. Adding a brief note about expected invariants (e.g., keys must match; implementations should handle missing entries gracefully) will make subclass behavior more consistent.

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📥 Commits

Reviewing files that changed from the base of the PR and between c404c7d and 293f693.

📒 Files selected for processing (1)
  • backend/app/services/summary/summary_engine.py (1 hunks)

@klingonaston
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The abstract methods in SummaryEngine are a solid starting point for the summarization logic. Merging this in now.

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3 participants