Commit Graph
8 Commits
Author SHA1 Message Date
TudorandClaude Fable 5 95081d38bd chore: remove the Ofsted Parent View feature end to end
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 9m39s
PR Checks / Backend Smoke (pull_request) Successful in 5s
PR Checks / Build Backend (no push) (pull_request) Successful in 17s
PR Checks / Build Frontend (no push) (pull_request) Successful in 41s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 45s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 1m35s
Removes the 'What Parents Say' section and all supporting elements:

Frontend:
- Drop the OfstedParentView type, the parent_view field, the survey
  section and the 'X% would recommend' callouts in the primary and
  secondary detail views, the Parents nav item, and the parent-view CSS.

Backend:
- Remove the FactParentView model, its loading in data_loader, and
  parent_view from the school-details API response.
- Bump SCHEMA_VERSION to 6 and add an idempotent drop step
  (DROP TABLE IF EXISTS marts.fact_parent_view) to the CLI migration;
  add scripts/sql/drop_fact_parent_view.sql to apply directly to the
  dbt-owned marts DBs on staging and prod.

Pipeline:
- Delete the stg_parent_view + fact_parent_view dbt models and their
  source/schema entries, the tap-uk-parent-view Meltano extractor, and
  the monthly Parent View DAG; drop it from the Dockerfile and the
  staging bootstrap docs.

The rest of dbt (which builds every mart the app reads) is untouched.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-06 09:01:26 +01:00
TudorandClaude Opus 4.8 3785f0c977 fix(pipeline): invoke dbt via python module to avoid Fusion shadowing
Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 53s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 56s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 2m0s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
The standalone dbt Fusion binary (dbt-core 2.x) on PATH shadows the
pip-installed classic dbt-postgres ~=1.10 and rejects the Postgres
adapter (dbt1005), breaking every DAG's dbt_build task. Invoke dbt via
`python -m dbt.cli.main` in the DAGs and the Dockerfile dbt deps step so
the classic Postgres-capable engine is always used regardless of PATH.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-18 13:41:35 +01:00
tudorandClaude Opus 4.6 1c77a6c593 fix(pipeline): run meltano install in Dockerfile to generate catalogs
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
tudorandClaude Opus 4.6 b6a487776b fix(airflow): set DAGS_FOLDER in image env and reserialize on init
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
tudorandClaude Opus 4.6 914de17d15 fix(pipeline): install curl in pipeline image for healthchecks
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
tudorandClaude Opus 4.6 a7904b627d fix(pipeline): migrate to Airflow 3 API server and SimpleAuthManager
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
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
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
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
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