Files
Kemal Yaylali 11fb6b3d73 fix: overhaul the platform skeleton, add a serverless deployment track
An end-to-end audit found the repo could not build, test or run as shipped. This
fixes every finding, then adds a Cloud Run track so the demo costs about £1/month
idle instead of ~£150.

CI (red on its first run)
- api: setuptools could not build the package (flat layout with app/ and alembic/)
- web: missing @types/node; `vitest run` exited 1 with no test files
- pipeline: the stub run needed a gitignored VCF, and no process had a stub block
- ruff pinned, mypy configured, DB tests on real Postgres (pgserver locally, service in CI)

ML serving (scores were meaningless)
- the registered model now carries its own feature engineering and returns predict_proba,
  so serving sends raw columns and cannot drift from training
- resolve by registry alias (stages are deprecated in MLflow 3) and record the real
  version; re-scoring upserts instead of failing on the unique constraint
- ClinVar labels parsed from VEP's lowercase terms

Pipeline
- exact ref/alt recovered from a CHROM_POS_REF_ALT VCF ID; loading is idempotent
- job status reaches running/failed/succeeded, so the UI stops polling dead jobs
- DATABASE_URL travels in the environment or a Nextflow secret, never on a command line
- VEP cache and plugins staged as inputs; the gcp profile runs tasks on Google Batch

Deployment
- the API serves /api (matching the ingress); the web app reads its API URL at runtime
- migrations run in an init container under a Postgres advisory lock
- terraform: custom VPC shared with Batch, private Cloud SQL, API enablement, Workload
  Identity bindings, Secret Manager, deletion protection
- serverless track, now the default: Cloud Run services scaling to zero, a Cloud Run job
  for the Nextflow driver, and Neon or Cloud SQL behind one DATABASE_URL secret. GKE and
  Argo remain, behind -var deploy_kubernetes=true. See docs/cloud.md.

Correctness and security
- 409 on duplicate sample names, 422 on bad paging, natural chromosome ordering, wider
  VEP text columns, enum dropped on downgrade, the sample's assembly actually used
- vcf_uri restricted to gs:// objects or files under the data root, blocking option injection
- CORS restricted to configured origins; `make down` no longer deletes volumes

Data
- docs/data.md records the peer-reviewed, openly licensed sources (GIAB HG002, ClinVar,
  gnomAD) with citations and an honest evaluation plan; `make data` fetches a chr22 slice

Verified: api 50 tests, ml 18, loader 16, web 12; ruff, mypy, svelte-check, terraform
validate and both kustomize overlays clean.
2026-09-12 07:21:11 +01:00

54 lines
1.6 KiB
Python

import asyncio
from logging.config import fileConfig
from alembic import context
from sqlalchemy import pool
from sqlalchemy.ext.asyncio import async_engine_from_config
from app.config import settings
from app.models import Base
config = context.config
config.set_main_option("sqlalchemy.url", settings.database_url)
if config.config_file_name:
fileConfig(config.config_file_name)
target_metadata = Base.metadata
# Arbitrary constant shared by every `alembic upgrade` (one per API replica's init container).
MIGRATION_LOCK_ID = 72150001
def run_migrations(connection):
context.configure(connection=connection, target_metadata=target_metadata)
with context.begin_transaction():
# Held until this transaction commits; a concurrent run waits, then finds nothing to do.
connection.exec_driver_sql(f"SELECT pg_advisory_xact_lock({MIGRATION_LOCK_ID})")
context.run_migrations()
async def run_async():
engine = async_engine_from_config(
config.get_section(config.config_ini_section, {}), poolclass=pool.NullPool
)
async with engine.connect() as conn:
await conn.run_sync(run_migrations)
await engine.dispose()
def run_offline():
"""`alembic upgrade head --sql`: emit the SQL instead of running it."""
context.configure(
url=settings.database_url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_offline()
else:
asyncio.run(run_async())