phase 0+1: project scaffold, k8s manifests, CI pipeline, steering, hooks, tests

- Repository structure for all services, infra, lakehouse, dashboards
- K8s manifests targeting stonks-oracle namespace with GHCR images
- Ingress via Traefik with ca-issuer TLS for internal services
- ConfigMap wired to existing cluster services (pg, redis, minio, ollama)
- GitHub Actions workflow for lint, test, multi-service container builds
- Dockerfile with build-arg CMD per service
- Makefile for local build/push/deploy
- Steering rules for TDD workflow, K8s conventions, project context
- Agent hooks for lint-on-save, test-on-save, k8s-validate, phase-commit
- Ruff linter config, all lint issues fixed
- 14 passing tests for schemas, config, redis keys
- PostgreSQL migrations, Trino catalogs, Superset config, MinIO lifecycle
This commit is contained in:
Celes Renata
2026-04-11 03:25:08 -07:00
parent 8cfc4f423b
commit ebea70573b
90 changed files with 3590 additions and 19 deletions
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# Scheduler / Orchestrator Service
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"""Scheduler - triggers ingestion cycles for tracked symbols and sources."""
import asyncio
import json
import logging
from datetime import datetime, timedelta
import asyncpg
import redis.asyncio as aioredis
from services.shared.config import load_config
from services.shared.db import get_pg_pool, get_redis
from services.shared.redis_keys import (
QUEUE_INGESTION,
lock_key,
queue_key,
rate_limit_key,
)
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("scheduler")
# Polling cadences by source class (seconds)
CADENCES = {
"market_api": 60,
"news_api": 300,
"filings_api": 3600,
"web_scrape": 1800,
"broker": 30,
}
async def acquire_lock(rds: aioredis.Redis, name: str, ttl: int = 60) -> bool:
return await rds.set(lock_key(name), "1", nx=True, ex=ttl)
async def release_lock(rds: aioredis.Redis, name: str):
await rds.delete(lock_key(name))
async def check_rate_limit(rds: aioredis.Redis, source_type: str, max_per_minute: int = 30) -> bool:
key = rate_limit_key(source_type, datetime.utcnow().strftime("%Y%m%d%H%M"))
count = await rds.incr(key)
if count == 1:
await rds.expire(key, 120)
return count <= max_per_minute
async def schedule_cycle(pool: asyncpg.Pool, rds: aioredis.Redis):
"""One scheduling pass: find due sources and enqueue ingestion jobs."""
sources = await pool.fetch(
"""SELECT s.id as source_id, s.company_id, s.source_type, s.source_name, s.config,
c.ticker, c.legal_name
FROM sources s JOIN companies c ON s.company_id = c.id
WHERE s.active = TRUE AND c.active = TRUE
ORDER BY s.source_type, c.ticker"""
)
enqueued = 0
for src in sources:
source_type = src["source_type"]
cadence = CADENCES.get(source_type, 600)
# Check last run
last_run = await pool.fetchval(
"SELECT MAX(started_at) FROM ingestion_runs WHERE source_id = $1 AND status IN ('completed', 'running')",
src["source_id"],
)
if last_run and (datetime.utcnow() - last_run.replace(tzinfo=None)) < timedelta(seconds=cadence):
continue
if not await check_rate_limit(rds, source_type):
logger.warning(f"Rate limit hit for {source_type}")
continue
job = {
"source_id": str(src["source_id"]),
"company_id": str(src["company_id"]),
"ticker": src["ticker"],
"source_type": source_type,
"source_name": src["source_name"],
"config": dict(src["config"]) if src["config"] else {},
"scheduled_at": datetime.utcnow().isoformat(),
}
await rds.rpush(queue_key(QUEUE_INGESTION), json.dumps(job))
enqueued += 1
if enqueued:
logger.info(f"Enqueued {enqueued} ingestion jobs")
async def main():
config = load_config()
pool = await get_pg_pool(config)
rds = get_redis(config)
logger.info("Scheduler started")
try:
while True:
try:
if await acquire_lock(rds, "scheduler_cycle", ttl=30):
await schedule_cycle(pool, rds)
await release_lock(rds, "scheduler_cycle")
except Exception as e:
logger.error(f"Scheduler cycle error: {e}")
await asyncio.sleep(15)
finally:
await pool.close()
await rds.close()
if __name__ == "__main__":
asyncio.run(main())