Fix num features extracted

[ppinchuk]

Minor fix to actually report number

[Copilot]

Pull request overview

This PR fixes how COMPASS reports the number of extracted ordinance features by ensuring the count is a native Python int and by including that value in the jurisdiction summary output produced by the threaded services layer.

Changes:

• Cast num_ordinances_dataframe(...).sum() to a Python int to avoid leaking NumPy scalar types.
• Add num_features_extracted to the jurisdiction JSON output (and assert it in the threaded service unit test).
• Extend parsing utility unit tests to cover missing values and “exclude all features” behavior while ensuring the return type is int.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.

File	Description
compass/utilities/parsing.py	Ensures ordinance row counts return a JSON-safe native int.
compass/services/threaded.py	Adds num_features_extracted to jurisdiction-level output and removes it from per-document output.
tests/python/unit/utilities/test_utilities_parsing.py	Adds coverage for return type and edge cases involving missing values/exclusions.
tests/python/unit/services/test_services_threaded.py	Verifies num_features_extracted is emitted in the jurisdiction summary.

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[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 63.85%. Comparing base (b14fe34) to head (1b6c4c6).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #525      +/-   ##
==========================================
+ Coverage   63.78%   63.85%   +0.07%     
==========================================
  Files          78       78              
  Lines        7445     7446       +1     
  Branches      755      755              
==========================================
+ Hits         4749     4755       +6     
+ Misses       2536     2531       -5     
  Partials      160      160              

Flag	Coverage Δ
unittests	63.85% <100.00%> (+0.07%)	⬆️

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