tudor/school_compare
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d82e36e7b2128d487cb86758c831bb9252a65227
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3 Commits
Author SHA1 Message Date
tudorandClaude Opus 4.6 d82e36e7b2 feat(ees): rewrite EES tap and KS2 models for actual data structure
Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 31s
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Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m8s
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Build and Push Docker Images / Build Integrator (push) Successful in 55s
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Build and Push Docker Images / Build Kestra Init (push) Successful in 32s
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Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m45s
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Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
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- Fix publication slugs (KS4, Phonics, Admissions were wrong)
- Split KS2 into two streams: ees_ks2_attainment (long format) and
  ees_ks2_info (wide format context data)
- Target specific filenames instead of keyword matching
- Handle school_urn vs urn column naming
- Pivot KS2 attainment from long to wide format in dbt staging
- Add all ~40 KS2 columns the backend needs (GPS, absence, gender,
  disadvantaged breakdowns, context demographics)
- Pass through all columns in int_ks2_with_lineage and fact_ks2

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-26 23:08:50 +00:00
tudorandClaude Opus 4.6 deb4024731 chore(pipeline): bump all dependencies to latest stable versions
Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 32s
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Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m4s
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Build and Push Docker Images / Build Integrator (push) Successful in 57s
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Build and Push Docker Images / Build Kestra Init (push) Successful in 32s
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Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m45s
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Build and Push Docker Images / Trigger Portainer Update (push) Successful in 0s
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- Airflow 2.11 → 3.1 (BashOperator moved to providers-standard)
- Meltano 3.5 → 4.1 (meltano.yml version 2, meltanolabs target-postgres)
- dbt-postgres 1.9 → 1.10
- singer-sdk 0.39 → 0.53 (all 6 taps)
- Typesense Docker 27.1 → 30.1
- Typesense Python client >=2.0
- Python base image 3.12 → 3.13

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-26 09:18:11 +00:00
tudorandClaude Opus 4.6 8f02b5125e feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold
Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 35s
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Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m9s
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Build and Push Docker Images / Build Integrator (push) Successful in 56s
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Build and Push Docker Images / Build Kestra Init (push) Successful in 32s
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Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
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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