6 Commits

Include renames

Author	SHA1	Message	Date
Tudor Sitaru	8ce34b3ecc	fix(list): read ofsted grade from fact_ofsted_inspection directly, fix dim_school schema lookup ... dim_school.sql was checking for int_ofsted_latest in target.schema (wrong schema) due to the custom generate_schema_name macro using literal schema names. The model lives in 'intermediate', so ofsted_grade/date/framework were always NULL in dim_school, causing all list cards to show 'Not yet inspected'. Fix 1: data_loader.py joins marts.fact_ofsted_inspection with DISTINCT ON to get latest inspection per school — no pipeline re-run needed. Fix 2: dim_school.sql uses schema='intermediate' so future dbt runs correctly denormalise the Ofsted summary into dim_school.	2026-04-13 14:51:14 +01:00
Tudor SitaruandClaude Opus 4.6	ca5f6a962c	fix(dim_school): expand phase inference with name-based fallback ... The case-insensitive "Not Applicable" fix caught schools where GIAS publishes statutory ages, but some independent schools leave those blank too — they fall through every branch and end up with null phase and no pill in the UI. Add a third tier that infers phase from the school name (Primary/Infant/Junior/Prep vs Secondary/High/Grammar/Senior/Upper) and also normalise "Not Applicable" handling with trim() + "unknown"/"" exclusion, so the final else branch can safely return null instead of the catch-all string. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-07 21:15:54 +01:00
Tudor SitaruandClaude Opus 4.6	5b025b98bd	fix(dim_school): use case-insensitive comparison for phase inference ... GIAS provides 'Not Applicable' (capital A) but the check used 'Not applicable', so the case-sensitive != matched true and skipped the age-range inference. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-02 15:33:04 +01:00
Tudor SitaruandClaude Opus 4.6	4c3c3c882d	fix(dim_school): infer phase from age range for independent schools ... Independent schools have phase='Not applicable' in GIAS. Now infer phase from statutory age range: <=11 → Primary, >=11 → Secondary, spans both → All-through. Falls back to original value if no age data. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-01 16:18:52 +01:00
tudorandClaude Opus 4.6	e7b1ab9f37	fix(pipeline): expand GIAS schema, handle empty strings, scope DAG selectors ... - Declare all 34 columns needed by dbt in GIAS tap schema (target-postgres only persists columns present in the Singer schema message) - Use nullif() for empty-string-to-integer/date casts in staging models - Scope daily DAG dbt build to GIAS models only (stg_gias_establishments+ stg_gias_links+) to avoid errors on unloaded sources - Scope annual EES DAG similarly; remove redundant dbt test steps - Make dim_school gracefully handle missing int_ofsted_latest table Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 20:43:24 +00:00
tudorandClaude Opus 4.6	8f02b5125e	feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold ... Replaces the hand-rolled integrator with a production-grade ELT pipeline using Meltano (Singer taps), dbt Core (medallion architecture), and Apache Airflow (orchestration). Adds Typesense for search and PostGIS for geospatial queries. - 6 custom Singer taps (GIAS, EES, Ofsted, Parent View, FBIT, IDACI) - dbt project: 12 staging, 5 intermediate, 12 mart models - 3 Airflow DAGs (daily/monthly/annual schedules) - Typesense sync + batch geocoding scripts - docker-compose: add Airflow, Typesense; upgrade to PostGIS - Portainer stack definition matching live deployment topology Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 08:37:53 +00:00