Files
school_compare/pipeline/transform/models/marts
TudorandClaude Opus 5 e236669fde
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m4s
PR Checks / Backend Smoke (pull_request) Successful in 9s
PR Checks / Build Backend (no push) (pull_request) Successful in 11s
PR Checks / Build Frontend (no push) (pull_request) Successful in 45s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 52s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 2m27s
fix(destinations): school rows and the England reference are different grains
The annual DAG died with a BrokenPipeError from Meltano's log writer, which
is several frames from the cause: target-postgres exited first and the tap
saw its stdout close.

The tap declared primary_keys = [urn, ...] while emitting urn=None for the
national rows, and target-postgres turns primary_keys into a NOT NULL
constraint. The first national row of the run failed the insert and took
the loader with it. Every other tap in this repo keys on non-null columns.

Carrying two grains in one stream was the actual mistake, so the fix is to
separate them rather than paper over the null: four streams now, with
ees_ks4/ks5_destinations_national carrying no urn column at all — a school
identifier that is null in every row is a grain mismatch, not a column.
The staging models split the same way and the national mart reads the new
pair instead of filtering `where urn is null`.

Verified against the live API: the school stream yields 135,240 rows over
4,508 schools with no duplicate keys, no null key columns and all 31,382
suppression sentinels intact; the national streams yield 30 and 33 rows
with no urn column.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BvdDKvFFSZuMVDH5fEyTob
2026-08-31 21:36:43 +01:00
..