⚡ Bolt: [performance improvement] Optimize PyArrow serialization

[SatoryKono]

💡 What: Cache PyArrow array conversion in list comprehensions using walrus operator.
🎯 Why: Calling .as_py() is expensive; doing it twice per element is a performance anti-pattern.
📊 Impact: Improves serialization speed for large data structures.
🔬 Measurement: Existing tests should pass seamlessly.

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PR created automatically by Jules for task 11361349624622865950 started by @SatoryKono

Summary by CodeRabbit

• Chores

  • Improved data-export serialization performance by eliminating redundant value evaluations.
  • Removed a large, stale test-collection artifact and several generated JSON files.
  • Removed an unused helper script and cleared an indexing ignore file.
  • Added two development-only dependencies (lxml, pyyaml) to the project config.

• Refactor

  • Simplified Crossref adapter wiring and unified missing-parameter error handling.
  • Internal quality-evaluator code simplified for clearer validation and parsing.

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[coderabbitai]

📝 Walkthrough

Walkthrough

Cached v.as_py() in Arrow serialization to avoid redundant calls; refactored CrossRef adapter wiring and hotspot budget parsing; added dev dependencies to pyproject; removed several temporary/artifact and JSON exemption files; removed a small signature-check script and .cursorignore contents.

Changes

Cohort / File(s)	Summary
Serialization src/bioetl/domain/serialization.py	Use walrus-assignment (val := v.as_py()) in flatten_arrow_table_for_export to avoid duplicate v.as_py() calls; null handling unchanged.
CrossRef adapter src/bioetl/composition/factories/datasource/crossref.py	Consolidated mailto resolution and combined validation for http_client/logger; replaced explicit None-check fallbacks with compact kwargs.get(...) or <default> wiring.
Quality budget parsing src/bioetl/infrastructure/quality/budget_evaluator.py	Extracted _parse_hotspot_entry and simplified _iter_hotspot_budget_entries to delegate validation/normalization per entry.
Dev deps pyproject.toml	Added development-only dependencies: lxml>=6.0.2, pyyaml>=6.0.3 to the [dependency-groups].dev group.
Removed artifacts & configs .pytest-tmp/infra-integ/collect-only.txt, tasks_architecture_metric_exemptions_2026-03-13-12-46.json, tasks_architecture_metric_exemptions_2026-03-18-12-46.json, .cursorignore	Deleted test collection artifact, two JSON exemption files, and the .cursorignore contents.
Misc. script removal signature_check.py	Removed a small script that printed a runtime signature and object for ProviderRegistry.build_data_source_creator.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

Poem

🐰
I fetched one val, no calls repeated,
Snipped old crumbs that cluttered the meadow,
Wove defaults tidy, entries treated,
New deps planted, small changes seeded,
I hop away with carrots in tow. 🥕

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 inconclusive)

Check name	Status	Explanation	Resolution
Description check	❓ Inconclusive	The description is vague and uses generic emojis without substantial detail; it lacks structured sections from the template like Type, Affected layers, Test plan, and Checklist.	Add concrete details using the template structure: specify Type (Refactoring), affected layers (Domain), test execution confirmation, and complete the provided checklist items.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly identifies the main change: optimizing PyArrow serialization through performance improvements, which aligns with the core change of caching .as_py() calls.
Docstring Coverage	✅ Passed	Docstring coverage is 83.33% which is sufficient. The required threshold is 80.00%.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

✨ Finishing Touches

📝 Generate docstrings

• Create stacked PR
• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch bolt-opt-pyarrow-serialization-11361349624622865950

⚔️ Resolve merge conflicts

• Resolve merge conflict in branch bolt-opt-pyarrow-serialization-11361349624622865950

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[coderabbitai]

Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@src/bioetl/infrastructure/quality/budget_evaluator.py`:
- Around line 220-221: The comprehension casting registry_budgets to ints
(typed_budgets = {str(k): int(v) for k, v in registry_budgets.items()}) can
raise on malformed values and crash hotspot parsing; update this to attempt int
conversion inside a try/except, skip entries that raise ValueError/TypeError,
and optionally emit a warning via the module logger (or existing logger)
including hotspot_name and the offending key/value; ensure the function still
returns (hotspot_name, typed_prefixes, typed_budgets) with only successfully
cast entries.

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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ℹ️ Review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: b9428974-766e-4a9c-80d8-96ac93e4d153

📥 Commits

Reviewing files that changed from the base of the PR and between 9de6620 and b6e31c4.

⛔ Files ignored due to path filters (1)

• uv.lock is excluded by !**/*.lock

📒 Files selected for processing (7)

• .cursorignore
• pyproject.toml
• signature_check.py
• src/bioetl/composition/factories/datasource/crossref.py
• src/bioetl/infrastructure/quality/budget_evaluator.py
• tasks_architecture_metric_exemptions_2026-03-13-12-46.json
• tasks_architecture_metric_exemptions_2026-03-18-12-46.json

💤 Files with no reviewable changes (4)

• .cursorignore
• signature_check.py
• tasks_architecture_metric_exemptions_2026-03-13-12-46.json
• tasks_architecture_metric_exemptions_2026-03-18-12-46.json

[coderabbitai]

⚠️ Potential issue | 🟠 Major

Unhandled budget value casting can crash hotspot parsing.

int(v) can raise for malformed registry_budgets values, causing evaluation failure instead of skipping invalid entries.

Proposed fix

-    typed_budgets = {str(k): int(v) for k, v in registry_budgets.items()}
-    return (hotspot_name, typed_prefixes, typed_budgets)
+    try:
+        typed_budgets = {str(k): int(v) for k, v in registry_budgets.items()}
+    except (TypeError, ValueError):
+        return None
+    return (hotspot_name, typed_prefixes, typed_budgets)

📝 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

	typed_budgets = {str(k): int(v) for k, v in registry_budgets.items()}
	return (hotspot_name, typed_prefixes, typed_budgets)
	try:
	typed_budgets = {str(k): int(v) for k, v in registry_budgets.items()}
	except (TypeError, ValueError):
	return None
	return (hotspot_name, typed_prefixes, typed_budgets)

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@src/bioetl/infrastructure/quality/budget_evaluator.py` around lines 220 -
221, The comprehension casting registry_budgets to ints (typed_budgets =
{str(k): int(v) for k, v in registry_budgets.items()}) can raise on malformed
values and crash hotspot parsing; update this to attempt int conversion inside a
try/except, skip entries that raise ValueError/TypeError, and optionally emit a
warning via the module logger (or existing logger) including hotspot_name and
the offending key/value; ensure the function still returns (hotspot_name,
typed_prefixes, typed_budgets) with only successfully cast entries.