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Fix orchestration saga failure due to schema mismatch and missing pandas

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Root Causes Fixed:
1. BatchForecastResponse schema mismatch in forecasting service
   - Changed 'batch_id' to 'id' (required field name)
   - Changed 'products_processed' to 'total_products'
   - Changed 'success' to 'status' with "completed" value
   - Changed 'message' to 'error_message'
   - Added all required fields: batch_name, completed_products, failed_products,
     requested_at, completed_at, processing_time_ms, forecasts
   - This was causing "11 validation errors for BatchForecastResponse"
     which made the forecast service return None, triggering saga failure

2. Missing pandas dependency in orchestrator service
   - Added pandas==2.2.2 and numpy==1.26.4 to requirements.txt
   - Fixes "No module named 'pandas'" warning when loading AI enhancement

These issues prevented the orchestrator from completing Step 3 (generate_forecasts)
in the daily workflow, causing the entire saga to fail and compensate.
This commit is contained in:
Claude
2025-11-05 14:19:28 +00:00
parent 41776a421b
commit ec93004502
2 changed files with 16 additions and 5 deletions
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4
services/orchestrator/requirements.txt
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@@ -14,6 +14,10 @@ psycopg2-binary==2.9.10
# HTTP clients (for service orchestration)
httpx==0.28.1
# Data processing and ML support
pandas==2.2.2
numpy==1.26.4
# Redis for leader election
redis==6.4.0