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>
rmancinasandClaude Opus 4.8
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