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store_in_memory_spend_updates_in_redis drained the in-memory queues into local variables before the rpush pipeline. If rpush raised (cloud Redis hiccup, timeout, connection blip), those already-drained transactions were garbage-collected with the scheduler job, silently losing all spend aggregated during that tick. Wrap the rpush in try/except. On failure, re-enqueue the aggregated transactions into their respective in-memory queues so the next scheduler tick retries. Add a unit test that seeds real queues, simulates an rpush failure, and asserts the transactions land back in-memory. |
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| .. | ||
| db_transaction_queue | ||
| mcp_server | ||
| test_check_migration.py | ||
| test_create_views.py | ||
| test_db_spend_update_writer.py | ||
| test_exception_handler.py | ||
| test_prisma_client.py | ||
| test_prisma_self_heal.py | ||
| test_rds_iam_token_expiry.py | ||
| test_tool_registry_writer.py | ||