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de5e9a2362
The handler fired ~2+2N read round-trips and N+N write transactions per SQS batch, pinning RDS CPU under ~32 concurrent containers on pool_size=1. Reads: merge the duplicate property query and add overrides_for_many / SolarRepository.get_many so overrides, solar, and property rows each load in one query (2+2N -> 3). Writes: buffer each modelled property's persistence intent in memory (_PropertyWrite) during the loop, then flush the whole batch in one PostgresUnitOfWork with a single commit, and run the baseline orchestrator once for all written ids (N+N -> 2 transactions). Per-property modelling failures stay isolated in the loop; the batch write is all-or-nothing and retried via SQS (saves are idempotent upserts). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .. | ||
| bulk_upload | ||
| comparable_properties | ||
| epc | ||
| fuel_rates | ||
| geospatial | ||
| landlord_overrides | ||
| magic_plan | ||
| materials | ||
| plan | ||
| product | ||
| property | ||
| property_baseline | ||
| scenario | ||
| solar | ||
| spatial | ||
| tasks | ||
| unstandardised_address | ||
| uploaded_file | ||
| __init__.py | ||
| postgres_unit_of_work.py | ||
| unit_of_work.py | ||