fix: bare except at line 180 in pipeline.py

[saurabhhhcodes]

Real bug: bare except: in pysnippets/Scrubs/pipeline.py catches BaseException

Summary by CodeRabbit

• Bug Fixes
  • Improved error handling during data aggregation while preserving existing processing and error tracking behavior.

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[coderabbitai]

📝 Walkthrough

Walkthrough

The aggregate_df function now explicitly catches Exception instead of using a bare exception handler. Existing aggregation logic, error tracking, and control flow remain unchanged.

Changes

Aggregate error handling

Layer / File(s)	Summary
Explicit exception catch pysnippets/Scrubs/pipeline.py	aggregate_df catches Exception explicitly while preserving existing error tracking and control flow.

Estimated code review effort: 1 (Trivial) | ~2 minutes

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly and accurately describes the main change: replacing a bare except in pipeline.py.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[coderabbitai]

Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@pysnippets/Scrubs/pipeline.py`:
- Line 180: Replace the broad except Exception handler in the pipeline
processing flow with catches for only the expected pandas and data-validation
exception types. Preserve aggregate failure recording for those known validation
errors, while allowing unexpected exceptions to propagate and avoiding Ruff
BLE001.

🪄 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: e4bae1c1-eddd-4a36-adab-bd51d2fe56b4

📥 Commits

Reviewing files that changed from the base of the PR and between 9f6eda4 and a33dbc5.

📒 Files selected for processing (1)

• pysnippets/Scrubs/pipeline.py

[coderabbitai]

🩺 Stability & Availability | 🟠 Major | ⚡ Quick win

Narrow the exception catch instead of using another blind catch.

Although this no longer catches BaseException, except Exception still suppresses every ordinary application error; unexpected bugs are recorded as aggregate failures and silently omitted. Catch only the expected pandas/data-validation exceptions, and let unexpected failures propagate. Ruff also flags this as BLE001.

🧰 Tools

🪛 Ruff (0.15.21)

[warning] 180-180: Do not catch blind exception: Exception

(BLE001)

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@pysnippets/Scrubs/pipeline.py` at line 180, Replace the broad except
Exception handler in the pipeline processing flow with catches for only the
expected pandas and data-validation exception types. Preserve aggregate failure
recording for those known validation errors, while allowing unexpected
exceptions to propagate and avoiding Ruff BLE001.

Source: Linters/SAST tools

[saurabhhhcodes]

🔔 Friendly ping @UTSAVS26 — this real fix has passing CI and references an approved GSSoC issue. Ready for review/merge. Thanks!

[saurabhhhcodes]

🔔 Friendly ping @UTSAVS26 — this real fix has passing CI and references an approved GSSoC issue. Ready for review/merge. Thanks!