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
10 lines
417 B
CSV
10 lines
417 B
CSV
Code,Name
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RM1,NORFOLK AND NORWICH UNIVERSITY HOSPITALS NHS FOUNDATION TRUST
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RGR,WEST SUFFOLK NHS FOUNDATION TRUST
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RGT,CAMBRIDGE UNIVERSITY HOSPITALS NHS FOUNDATION TRUST
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RCX,THE QUEEN ELIZABETH HOSPITAL
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RGP,JAMES PAGET UNIVERSITY HOSPITALS NHS FOUNDATION TRUST
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RGM,ROYAL PAPWORTH HOSPITAL NHS FOUNDATION TRUST
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RGN,NORTH WEST ANGLIA NHS FOUNDATION TRUST
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RRV,UNIVERSITY COLLEGE LONDON HOSPITALS NHS FOUNDATION TRUST
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