All checks were successful
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>
18 lines
401 B
TOML
18 lines
401 B
TOML
[build-system]
|
|
requires = ["setuptools>=68", "wheel"]
|
|
build-backend = "setuptools.build_meta"
|
|
|
|
[project]
|
|
name = "tap-uk-gias"
|
|
version = "0.1.0"
|
|
description = "Singer tap for UK GIAS (Get Information About Schools) bulk data"
|
|
requires-python = ">=3.10"
|
|
dependencies = [
|
|
"singer-sdk~=0.39",
|
|
"requests>=2.31",
|
|
"pandas>=2.0",
|
|
]
|
|
|
|
[project.scripts]
|
|
tap-uk-gias = "tap_uk_gias.tap:TapUKGIAS.cli"
|