tnc-ca-geo/animl-api
Oct 2025 – Oct 2025
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
API DevelopmentBackend DevelopmentDatabase ManagementGraphQLMongoDB AggregationNode.js
Eric Cunningham
PROFILE
Eric Cunningham
E.J. Cunningham enhanced the tnc-ca-geo/animl-api repository by introducing image timestamp offset support to improve temporal data accuracy. He implemented the dateTimeOffsetMs field and exposed dateTimeAdjusted values, ensuring offset-aware calculations across the schema, model, GraphQL layer, and MongoDB aggregations. Using TypeScript and Node.js, he added a GraphQL mutation for setting image offsets, refactored typing, and developed comprehensive tests to validate the new functionality. Cunningham also cleaned up the codebase by removing unused mappings, reducing dead code and confusion. His work enabled more reliable analytics and reporting for image data, demonstrating depth in backend and database engineering.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
1
Lines of code
340
Activity Months1
Work History
October 2025
6 Commits • 1 Features
Oct 1, 2025October 2025 — Animl API temporal data improvements. Delivered image timestamp offset support across model, schema, GraphQL, and aggregations, including dateTimeOffsetMs, exposure of dateTimeAdjusted, and offset-aware calculations to improve temporal data accuracy. Implemented compute dateTimeAdjusted in MongoDB aggregations and added a GraphQL mutation for setting image offsets. Performed typing fixes and added tests during refactor. Cleaned up code by removing an unused dateTimeAdjusted mapping from the Fields resolver to reduce dead code and confusion. Result: more accurate temporal analytics for image data and a streamlined API surface.
6 Commits • 1 Features
Oct 1, 2025October 2025 — Animl API temporal data improvements. Delivered image timestamp offset support across model, schema, GraphQL, and aggregations, including dateTimeOffsetMs, exposure of dateTimeAdjusted, and offset-aware calculations to improve temporal data accuracy. Implemented compute dateTimeAdjusted in MongoDB aggregations and added a GraphQL mutation for setting image offsets. Performed typing fixes and added tests during refactor. Cleaned up code by removing an unused dateTimeAdjusted mapping from the Fields resolver to reduce dead code and confusion. Result: more accurate temporal analytics for image data and a streamlined API surface.
October 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability96.6%
Architecture90.0%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API DevelopmentBackend DevelopmentDatabase ManagementGraphQLMongoDB AggregationNode.jsSchema DesignTesting
Repositories Contributed To
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