Jun-te Kim de5e9a2362 perf(modelling_e2e): bulk reads and batch writes to cut RDS load ... 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>		2026-06-24 18:43:42 +00:00
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local_handler	remove smoke tests from gh workflows	2026-06-24 11:35:30 +00:00
Dockerfile	move handler stuff to applications directory	2026-06-22 13:35:23 +00:00
errors.py	Fail unmodellable properties with a specific, debuggable error 🟥	2026-06-24 14:10:55 +00:00
handler.py	perf(modelling_e2e): bulk reads and batch writes to cut RDS load	2026-06-24 18:43:42 +00:00
modelling_e2e_trigger_body.py	process multiple properties in one message	2026-06-22 15:46:18 +00:00
requirements.txt	various fixes	2026-06-22 14:21:52 +00:00