Add Docker Compose stack for local development

Single-machine equivalent of the Helm package: builds the app from the
Dockerfile, runs PostgreSQL with a persistent volume, and starts the trading
loop with its embedded dashboard on :8010.

- postgres:16 with healthcheck + named volume; app waits on it healthy
- DATABASE_URL overridden to the in-network postgres service (self-contained);
  .env is optional (dry mode without ALPACA_* keys)
- journal / eod-replay / nightly-tune under a "jobs" profile, run on demand;
  they share the app-data volume so learned_params.json reaches the loop
- Grafana under a "monitoring" profile with a compose-specific datasource
  override pointed at the postgres service
- deploy/README.md documents the Compose workflow

Validated with `docker compose config` across all profiles.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JCVMm2AbmZvvxwLTX6UpNR
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Claude committed 2026-06-29 21:40:19 +00:00
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@@ -15,6 +15,43 @@ its **PostgreSQL datastore** — inside a single Kubernetes namespace.
The app loop and the CronJobs run the **same image** (built from the repo
`Dockerfile`), just with different commands.
## Local development with Docker Compose
For a single-machine stack (same components, no Kubernetes) use the root
`docker-compose.yml`. It builds the app from the `Dockerfile`, brings up
PostgreSQL with a persistent volume, and runs the loop with its embedded
dashboard. Config comes from a local `.env` (optional — without `ALPACA_*` keys
the loop runs in dry mode; the dashboard and DB still work). `DATABASE_URL` is
overridden to the in-network `postgres` service, so the stack is self-contained.
```bash
cp .env.example .env # optional: add ALPACA_* keys for live data
docker compose up -d --build # postgres + app loop + dashboard (:8010)
docker compose logs -f app # watch the loop
open http://localhost:8010 # dashboard
docker compose --profile monitoring up -d # also start Grafana (:3000)
```
The scheduled jobs sit under the `jobs` profile so they don't auto-start; run
them on demand (or from host cron / a scheduler on the ET times in `.env`):
```bash
docker compose run --rm nightly-tune
docker compose run --rm eod-replay
docker compose run --rm journal
```
Postgres credentials default to `momentum`/`momentum`/`momentum`; override with
`POSTGRES_USER` / `POSTGRES_PASSWORD` / `POSTGRES_DB` in `.env`. Named volumes
`pg-data`, `app-data`, and `grafana-data` persist across restarts (the jobs share
`app-data` with the app so `nightly_tune.py`'s `learned_params.json` reaches the
loop). The Compose Grafana uses its own datasource override at
`deploy/compose/grafana/datasources/momentum.yaml` (pointed at the `postgres`
service); the legacy `grafana/docker-compose.yml` is unrelated and left for
Grafana-only use against an external DB.
## Build & publish the image
Pushes to the working branch / `main` / `v*` tags trigger
@@ -0,0 +1,19 @@
# Grafana datasource for the docker-compose stack — points at the in-network
# `postgres` service (not the LAN IP used by grafana/provisioning/datasources).
# Credentials are interpolated from the PG_* env vars set on the grafana service.
apiVersion: 1
datasources:
- name: Momentum
uid: momentum_pg
type: postgres
access: proxy
url: postgres:5432
user: ${PG_USER}
jsonData:
database: ${PG_DATABASE}
sslmode: disable
postgresVersion: 1600
secureJsonData:
password: ${PG_PASSWORD}
isDefault: true
editable: true
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@@ -0,0 +1,137 @@
# Full local stack for the Momentum System — mirrors the Helm package (deploy/).
#
# docker compose up -d # postgres + app loop + dashboard
# docker compose --profile monitoring up -d # also start Grafana
# docker compose run --rm nightly-tune # run a scheduled job on demand
#
# Config/secrets come from a local .env (copy from .env.example). DATABASE_URL is
# overridden below to point at the in-network postgres service regardless of what
# .env says, so the stack is self-contained. Without ALPACA_* keys the loop runs
# in dry mode (dashboard + DB still work).
services:
postgres:
image: postgres:16
environment:
POSTGRES_USER: ${POSTGRES_USER:-momentum}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-momentum}
POSTGRES_DB: ${POSTGRES_DB:-momentum}
# Keep data in a subdir so the volume root doesn't clash with PGDATA init.
PGDATA: /var/lib/postgresql/data/pgdata
volumes:
- pg-data:/var/lib/postgresql/data
ports:
# Exposed for psql/Grafana-on-host debugging; remove if not needed.
- "5432:5432"
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-momentum} -d ${POSTGRES_DB:-momentum}"]
interval: 10s
timeout: 5s
retries: 5
restart: unless-stopped
# Trading loop WITH the embedded dashboard (the dashboard's approve/reject/exit
# endpoints need the in-process TradingExecutionService — see deploy/README.md).
app:
build: .
command: ["python", "run_live_paper.py"]
env_file:
- path: .env
required: false
environment: &app-env
# Built from the postgres service; overrides any DATABASE_URL in .env.
DATABASE_URL: postgresql://${POSTGRES_USER:-momentum}:${POSTGRES_PASSWORD:-momentum}@postgres:5432/${POSTGRES_DB:-momentum}
DASHBOARD_HOST: "0.0.0.0"
DASHBOARD_PORT: "8010"
# Schema auto-creates from storage/pg_schema.sql on first connect.
PG_SKIP_SCHEMA: "0"
ports:
- "8010:8010"
volumes:
# DuckDB research file, logs, learned_params.json, schwab tokens. Shared
# with the job services so nightly-tune's output reaches the loop.
- app-data:/app/data
depends_on:
postgres:
condition: service_healthy
restart: unless-stopped
# ---- Scheduled jobs (the *.sh crontab equivalents). On-demand only: they sit
# under the "jobs" profile so `up` doesn't start them. Run with:
# docker compose run --rm journal | eod-replay | nightly-tune
# (Use host cron / a scheduler to invoke these on the ET schedule in .env.)
journal:
build: .
profiles: ["jobs"]
command: ["python", "momentum_cli.py", "journal"]
env_file:
- path: .env
required: false
environment: *app-env
volumes:
- app-data:/app/data
depends_on:
postgres:
condition: service_healthy
restart: "no"
eod-replay:
build: .
profiles: ["jobs"]
command: ["python", "eod_replay.py"]
env_file:
- path: .env
required: false
environment: *app-env
volumes:
- app-data:/app/data
depends_on:
postgres:
condition: service_healthy
restart: "no"
nightly-tune:
build: .
profiles: ["jobs"]
command: ["python", "nightly_tune.py"]
env_file:
- path: .env
required: false
environment: *app-env
volumes:
- app-data:/app/data
depends_on:
postgres:
condition: service_healthy
restart: "no"
# ---- Grafana (optional): `docker compose --profile monitoring up -d`
grafana:
image: grafana/grafana:11.2.0
profiles: ["monitoring"]
environment:
GF_AUTH_ANONYMOUS_ENABLED: "true"
GF_AUTH_ANONYMOUS_ORG_ROLE: "Admin"
GF_AUTH_DISABLE_LOGIN_FORM: "true"
GF_DASHBOARDS_MIN_REFRESH_INTERVAL: "2s"
# Interpolated into the provisioned datasource (see datasource override).
PG_USER: ${POSTGRES_USER:-momentum}
PG_PASSWORD: ${POSTGRES_PASSWORD:-momentum}
PG_DATABASE: ${POSTGRES_DB:-momentum}
ports:
- "3000:3000"
volumes:
# Compose-specific datasource points at the in-network postgres service;
# the dashboard + provider are reused from the existing grafana/ dir.
- ./deploy/compose/grafana/datasources:/etc/grafana/provisioning/datasources:ro
- ./grafana/provisioning/dashboards:/etc/grafana/provisioning/dashboards:ro
- grafana-data:/var/lib/grafana
depends_on:
postgres:
condition: service_healthy
restart: unless-stopped
volumes:
pg-data:
app-data:
grafana-data: