dde8ae30fa
Adds services/ml_training_data/src/ml_training_data/sap_parity_probe.py — samples N certs from the v18a corpus, streams them via BulkZipReader, runs Sap10Calculator, prints MAE/RMSE/bias + worst-N residuals. Baseline across 100 certs: MAE 8.41, RMSE 13.98, bias -2.65, 0 errors. docs/sap-spec/PARITY_FINDINGS.md captures the dominant failure pattern (flats + bungalows under-predicted, 10 of the worst-15 are flats whose floor/roof are party with neighbouring dwellings) and the priority- ordered Session B iteration backlog (S-B-flat-surfaces first). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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|---|---|---|
| .. | ||
| ara | ||
| ml_training_data | ||
| README.md | ||
Services
Each subdirectory is a deployable unit — typically a Lambda image. Own pyproject.toml, own Dockerfile, own deps. Lambda bundle contains only that service's deps + its workspace deps.
| Service | Purpose |
|---|---|
ara/ |
The Domna retrofit modelling backend — ingestion + modelling pipelines, all 9 services in PRD §9.2. |
Other Domna services (address2uprn, hubspot, pashub, ecmk, magicplan) live in the legacy backend/ and etl/ trees for now; they are slated to migrate here as their owners pick them up — see PRD §11. When that work starts, scaffold the service under services/<name>/ and add it to the workspace members in the root pyproject.toml.
Service boundary
A service can import domain.*, import repos.*, import fetchers.*, import utils.* (workspace deps). It cannot import another service's modules — they are separate distributions with no cross-import path. This is the structural enforcement of the modelling/ingestion separation (ADR-0003).