fedspendingtransparency/usaspending-api
Mar 2025 – Mar 2025
1 Month active
Languages Used
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentData FilteringDatabase IntegrationTesting
Trimberger
PROFILE
Trimberger
During March 2025, J1LXT01 developed a feature for the fedspendingtransparency/usaspending-api repository that enables filtering subaward spending data by award type codes. They enhanced the backend by updating the API endpoint to apply these filters, ensuring that queries return subaward data accurately based on specified award types. To support robust testing, they refactored the test suite to incorporate fixture data for both subawards and awards, improving test coverage and reliability. Working primarily with Python and SQL, J1LXT01 focused on API development, data filtering, and database integration, delivering a targeted solution that improves data quality and analytics for stakeholders.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
133
Activity Months1
Your Network
16 peopleSame Organization
@rb.win.frb.org1
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 — Highlights: Delivered subaward spending data filtering by award type codes; Refactored tests to include fixture data for subawards and awards; Updated API endpoint to apply award-type filters when querying subaward spending, ensuring accurate results for specified types. No major bugs fixed this month. Impact: Enables precise, type-filtered spend analytics for stakeholders, improving data quality and decision-making. Skills: API development, test data refactoring, endpoint enhancement, and changelist traceability (commit b4c0832fe8439f38011305470d027f4b69714d98: 'add ability to use award filters').
1 Commits • 1 Features
Mar 1, 2025March 2025 — Highlights: Delivered subaward spending data filtering by award type codes; Refactored tests to include fixture data for subawards and awards; Updated API endpoint to apply award-type filters when querying subaward spending, ensuring accurate results for specified types. No major bugs fixed this month. Impact: Enables precise, type-filtered spend analytics for stakeholders, improving data quality and decision-making. Skills: API development, test data refactoring, endpoint enhancement, and changelist traceability (commit b4c0832fe8439f38011305470d027f4b69714d98: 'add ability to use award filters').
March 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentData FilteringDatabase IntegrationTesting
Repositories Contributed To
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