training

Station Comparison Summary API for station-wise performance reporting.
Implemented aggregation logic for total sessions, energy consumed, revenue, and average revenue per session.
Added date-based filters (this month, last month, week, custom range) and integrated tenant-based schema handling.
Identified issue in revenue calculation (final amount not populated for all records)
Currently facing issue with data not reflecting for current month in API response despite data availability in DB; further debugging will continue..

Worked on refining the Station Comparison Summary API as per latest requirements.
Fixed date filtering using IST to UTC conversion to ensure accurate data retrieval.
Validated and corrected revenue calculation using actual logic (energy × rate/markup).
Tested API with different filters like this month and last month for correctness.

Today I worked on improving the Station Comparison API by fixing the SQL logic for the summary data and integrating the initial structure for energy calculations. I implemented a combined query approach for station-level summary and attempted to include bucket-level breakdown within the same flow. During testing, I identified duplication issues caused by grouping on rate values, which led to multiple rows per station. I analyzed the root cause and corrected the grouping logic to ensure clean station-wise aggregation. The API is now returning accurate current and previous period data without duplication in the summary section. Bucket-level optimization is pending and will be refined tomorrow for proper rate-wise segregation and performance improvement.

Today I worked on testing the Station Setup APIs via Swagger. Verified initialization and setup retrieval APIs . Tested step update and master APIs. Identified multiple issues during testing, including duplicate key constraint errors and incorrect insert/update logic. Some APIS not working properly. Additionally , Worked on station comparison summary and energy bucket implementation. Fixed revenue calculation using correct formula (energy × rate) as per requirement. Removed dependency on final amount and aligned logic with expected calculation. Corrected SQL query issues (COALESCE placement, syntax errors, date filters). Ensured Swagger response matches database values accurately. Validated bucket-wise data (rate, energy, revenue, session count) with DB. Current API is stable and producing correct results; ready for further enhancements if needed.

Worked on station-comparison summary API and improved overall logic. Validated API response with database to ensure accurate results .Reviewed energy rate & OCPI logic across related APIs and made necessary adjustments. Reviewed multiple APIs to verify implementation of energy rate and OCPI logic as instructed.. Cross-checked calculation patterns used in revenue and energy computations across services. Additionally, try to understand the heartbeat data service to understand how machine connection status is tracked . and Analyzed machine online status flow in the project to understand how updates are handled.