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97d975114aa75f6c676a9ecf26f9e63d233599d9
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3 Commits

Author SHA1 Message Date
Tudor
97d975114a feat(pipeline): implement parent-view, fbit, idaci Singer taps + align staging/mart models
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Build and Push Docker Images / Build Integrator (push) Successful in 57s
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Port extraction logic from integrator scripts into Singer SDK taps:
- tap-uk-parent-view: scrapes Ofsted open data portal, parses survey responses (14 questions)
- tap-uk-fbit: queries FBIT API per-URN with rate limiting, computes per-pupil spend
- tap-uk-idaci: downloads IoD2019 XLSX, batch-resolves postcodes→LSOAs via postcodes.io

Update dbt models to match actual tap output schemas:
- stg_idaci now includes URN (tap does the postcode→LSOA→school join)
- stg_parent_view expanded from 8 to 13 question columns
- fact_deprivation simplified (no longer needs postcode→LSOA join in dbt)
- fact_parent_view expanded to include all 13 question metrics

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-26 10:38:07 +00:00
Tudor
deb4024731 chore(pipeline): bump all dependencies to latest stable versions
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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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- 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
Tudor
8f02b5125e feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold
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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