school_compare

Author	SHA1	Message	Date
Tudor Sitaru	5b025b98bd	fix(dim_school): use case-insensitive comparison for phase inference All checks were successful Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 13s Details Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 50s Details Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m6s Details Build and Push Docker Images / Trigger Portainer Update (push) Successful in 0s Details 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 Sitaru	4c3c3c882d	fix(dim_school): infer phase from age range for independent schools All checks were successful Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 12s Details Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 50s Details Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m9s Details Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s Details 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
Tudor	e7b1ab9f37	fix(pipeline): expand GIAS schema, handle empty strings, scope DAG selectors All checks were successful Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 32s Details Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m8s Details Build and Push Docker Images / Build Integrator (push) Successful in 57s Details Build and Push Docker Images / Build Kestra Init (push) Successful in 34s Details Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m39s Details Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s Details - 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
Tudor	8f02b5125e	feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold All checks were successful Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 35s Details Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m9s Details Build and Push Docker Images / Build Integrator (push) Successful in 56s Details Build and Push Docker Images / Build Kestra Init (push) Successful in 32s Details Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s Details 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

4 Commits