Andrew Charlwood
adc1dbfc58
Tested full refresh pipeline end-to-end with real Snowflake data: - Fixed trust filter to read Name column from defaultTrusts.csv - Fixed Decimal type handling in calculate_cost_per_patient_per_annum - Fixed array handling in convert_to_records for average_administered - Added required reference CSV files to data/ directory - Configured Snowflake connection (account, warehouse, user) Results: - Snowflake fetch: 656,695 records in ~7s - Transformations: 519,848 records after UPID/drug/directory - Pathway nodes: 293 for all_6mo (8 trusts, 14 directories) - Total processing time: ~6.2 minutes
417 B
417 B
| 1 | Code | Name |
|---|---|---|
| 2 | RM1 | NORFOLK AND NORWICH UNIVERSITY HOSPITALS NHS FOUNDATION TRUST |
| 3 | RGR | WEST SUFFOLK NHS FOUNDATION TRUST |
| 4 | RGT | CAMBRIDGE UNIVERSITY HOSPITALS NHS FOUNDATION TRUST |
| 5 | RCX | THE QUEEN ELIZABETH HOSPITAL |
| 6 | RGP | JAMES PAGET UNIVERSITY HOSPITALS NHS FOUNDATION TRUST |
| 7 | RGM | ROYAL PAPWORTH HOSPITAL NHS FOUNDATION TRUST |
| 8 | RGN | NORTH WEST ANGLIA NHS FOUNDATION TRUST |
| 9 | RRV | UNIVERSITY COLLEGE LONDON HOSPITALS NHS FOUNDATION TRUST |