rmancinasandClaude Opus 4.8
21899e99bb
migration/transform_policies.py folds every insurance Access table into one `policies` table (policy_types discriminator) plus child tables, via a per-table declarative mapping that absorbs the column-name variance (num_id/numer_id, no_poliza/poliza, p_neta/prima_neta/prima1). Any source column not explicitly modeled — the type-specific coverage amounts — is preserved verbatim in coveragesJson, so consolidation loses nothing. Unpivots the hardcoded repeated slots: 4 payment installments (c_1er_pago + pago_subsec x3), up to 3 vehicles (auto tables + MCA2), up to 3 named insured drivers (MCA2 + LICENCIAS). Also loads BENEF -> policy_beneficiaries (by policy number), DATOS -> claims, AJUSTADORES(+ATLAS) -> adjusters, and builds policy_types + insurance_providers lookups. Loaded/validated (dev): 2378 policies (AUTO 1307 / MULT 760 / LICENCIAS 306 / M_EMPR 5; 10 skipped for unresolved customer FK, 0 orphans), 4678 installments, 1110 vehicles, 513 drivers, 126 beneficiaries, 1 claim, 15 providers, 17 adjusters — all child FKs verified 0 orphans. Spot-checked a customer carrying both a utility property and MULT policies (the unified cross-line view). run_all.py: add policies to the ordered pipeline. Customer FK resolves through insurance customer_legacy_refs, so this runs after customers. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>