Tudor Sitaru
dc66e22d4d
Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 19s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 53s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m24s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
Replaces computed means from our school dataset with the published DfE national headline figures for the KS2 chart reference line. - tap-uk-ees: new EESKs2NationalStream fetches the stable EES data-catalogue CSV (one row per year, England national total, AllSchools filter) - dbt staging: stg_ees_ks2_national normalises columns, casts to float, filters to years >= 201617 - dbt mart: fact_ks2_national_averages — one row per year, official figures - backend/models: Ks2NationalAverage SQLAlchemy model - backend/app: /api/national-averages queries the mart for KS2 by_year; secondary by_year stays computed (no DfE KS4 national dataset yet) - DAG: extract_ks2_national task added to school_data_annual_ees, runs in parallel with the main EES extract Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>