1c77a6c593
fix(pipeline): run meltano install in Dockerfile to generate catalogs
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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 1m13s
Build and Push Docker Images / Build Integrator (push) Successful in 58s
Build and Push Docker Images / Build Kestra Init (push) Successful in 33s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m31s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
Meltano elt requires catalog files (tap.properties.json) to exist.
These are generated by `meltano install` which discovers tap schemas
and installs the target-postgres loader. Without this step, `meltano
elt` fails with "catalog file is missing".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-26 12:28:59 +00:00
b6a487776b
fix(airflow): set DAGS_FOLDER in image env and reserialize on init
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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) Successful in 32s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 0s
- Add AIRFLOW__CORE__DAGS_FOLDER env var in Dockerfile so it's always set
- Run `airflow dags reserialize` after `db migrate` in init container so
DAGs appear immediately without waiting for scheduler scan interval
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-26 11:05:41 +00:00
914de17d15
fix(pipeline): install curl in pipeline image for healthchecks
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Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 34s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m7s
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 / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 1m46s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-26 09:52:06 +00:00
a7904b627d
fix(pipeline): migrate to Airflow 3 API server and SimpleAuthManager
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Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 34s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 1m12s
Build and Push Docker Images / Build Integrator (push) Successful in 58s
Build and Push Docker Images / Build Kestra Init (push) Successful in 31s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 31s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
Airflow 3 replaced `airflow webserver` with `airflow api-server` and
removed the `airflow users` CLI. Auth is now via SimpleAuthManager
configured through AIRFLOW__CORE__SIMPLE_AUTH_MANAGER_USERS env var.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-26 09:32:08 +00:00
deb4024731
chore(pipeline): bump all dependencies to latest stable versions
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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 1m4s
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
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