run-log_2026-09-07-seed.txt

05-Outputs/partner-runs/run-log_2026-09-07-seed.txt

1. $ weekly_partner_pipeline.py seed-baseline --sheet 07-Automation/sample/inputs/Partner-Clients-Roster_2026-09-07.xlsx --tab "All Accounts" --as-of 2026-09-07
2. Sheet: 07-Automation/sample/inputs/Partner-Clients-Roster_2026-09-07.xlsx: 381 data rows
3. Detected column mapping:
4. email <- column 3: 'Email'
5. first_name <- column 1: 'First Name'
6. last_name <- column 2: 'Last Name'
7. ltv <- column 4: 'LTV'
8. repeat_revenue <- column 5: 'RR'
9. user_id <- column 0: 'ID'
11. Seeded baselines for 381 customers (as_of=2026-09-07) -> 07-Automation/data/order_history.json
13. $ weekly_partner_pipeline.py seed-baseline --sheet 07-Automation/sample/inputs/Partner-Clients-Roster_2026-09-07.xlsx --tab "Complete Partner Clients List" --as-of 2026-09-07 --force
14. Sheet: 07-Automation/sample/inputs/Partner-Clients-Roster_2026-09-07.xlsx: 128 data rows
15. Detected column mapping:
16. additional_emails <- column 4: 'Additional Email'
17. company <- column 5: 'Company'
18. email <- column 3: 'Email'
19. first_name <- column 1: 'First Name'
20. first_order_date <- column 20: 'First Order'
21. last_name <- column 2: 'Last Name'
22. last_order_date <- column 15: 'Last Order'
23. ltv <- column 14: 'Total Spent (Orders)'
24. orders_count <- column 18: '# Orders'
25. phone <- column 6: 'Phone'
26. repeat_revenue <- column 19: 'Repeat Revenue (Plinth)'
27. user_group <- column 9: 'User Group'
28. user_id <- column 0: 'Id'
30. Seeded baselines for 128 customers (as_of=2026-09-07) -> 07-Automation/data/order_history.json