Commit Graph

3 Commits

Author SHA1 Message Date
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
Build and Push Docker Images / Build Kestra Init (push) Successful in 32s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m45s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 0s
- 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
e32666ae4c fix(pipeline): bump Airflow to 2.11 and dbt to 1.9 to resolve SQLAlchemy conflict
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Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 32s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m5s
Build and Push Docker Images / Build Integrator (push) Successful in 57s
Build and Push Docker Images / Build Kestra Init (push) Successful in 32s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Failing after 49s
Build and Push Docker Images / Trigger Portainer Update (push) Has been skipped
Airflow 2.10 requires SQLAlchemy <2.0, but dbt-postgres 1.8+ pulls in
SQLAlchemy 2.x. Airflow 2.11 supports SQLAlchemy 2.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 09:08:21 +00:00
8f02b5125e feat(pipeline): add Meltano + dbt + Airflow ELT pipeline scaffold
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Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 35s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m9s
Build and Push Docker Images / Build Integrator (push) Successful in 56s
Build and Push Docker Images / Build Kestra Init (push) Successful in 32s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
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