HighCostDrugsDemo

admin/HighCostDrugsDemo

Fork 0

Commit Graph

Author	SHA1	Message	Date
Andrew Charlwood	a31907aa1f	feat: complete drug-aware indication matching and cleanup app_v2 - Remove app_v2.py (consolidated into pathways_app.py), fix __init__ import - Add DimSearchTerm.csv, drug_indication_clusters.csv, drug_snomed_mapping_enriched.csv as reference data for SNOMED-based indication matching - Add snomed_indication_mapping_query.sql (source for embedded cluster mapping) - Update DESIGN_SYSTEM.md, RALPH_PROMPT.md, ralph.ps1, uv.lock	2026-02-06 00:33:29 +00:00
Andrew Charlwood	adc1dbfc58	feat: complete Task 2.2 - test refresh pipeline with Snowflake data 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	2026-02-05 00:20:12 +00:00
Andrew Charlwood	fdd33a67af	Initial commit before Ralph loop	2026-02-04 13:04:29 +00:00

Author

SHA1

Message

Date

Andrew Charlwood

a31907aa1f

feat: complete drug-aware indication matching and cleanup app_v2

- Remove app_v2.py (consolidated into pathways_app.py), fix __init__ import
- Add DimSearchTerm.csv, drug_indication_clusters.csv, drug_snomed_mapping_enriched.csv
  as reference data for SNOMED-based indication matching
- Add snomed_indication_mapping_query.sql (source for embedded cluster mapping)
- Update DESIGN_SYSTEM.md, RALPH_PROMPT.md, ralph.ps1, uv.lock

2026-02-06 00:33:29 +00:00

Andrew Charlwood

adc1dbfc58

feat: complete Task 2.2 - test refresh pipeline with Snowflake data

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

2026-02-05 00:20:12 +00:00

Andrew Charlwood

fdd33a67af

Initial commit before Ralph loop

2026-02-04 13:04:29 +00:00

3 Commits