⚡ Bolt: Optimize Polars metrics calculation

[SatoryKono]

💡 What: Replaced pure-Python loops evaluating .filter() queries individually with a list of Polars expressions evaluated simultaneously in _calculate_field_coverage. Replaced len(df.filter(expr)) with int(df.select(expr.sum()).item()) in _count_any_enriched.
🎯 Why: Iterating over columns with a pure-Python loop to execute .filter() queries and materializing new DataFrames in memory adds significant overhead. Building a list of expressions and evaluating them simultaneously with .select() eliminates Python loop overhead and drastically speeds up execution.
📊 Impact: Considerably faster computation when calculating field coverage or boolean mask matches by taking full advantage of Polars optimization.
🔬 Measurement: Verify tests still pass and field coverage produces exact same results faster.

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PR created automatically by Jules for task 8819727244228254579 started by @SatoryKono

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud

[github-actions]

This PR has been inactive for 14 days and is now marked as stale. It will be automatically closed in 7 days unless there is new activity.