Claude
a76c0b5376
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
20 lines
575 B
YAML
20 lines
575 B
YAML
# Grafana datasource for the docker-compose stack — points at the in-network
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# `postgres` service (not the LAN IP used by grafana/provisioning/datasources).
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# Credentials are interpolated from the PG_* env vars set on the grafana service.
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apiVersion: 1
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datasources:
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- name: Momentum
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uid: momentum_pg
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type: postgres
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access: proxy
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url: postgres:5432
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user: ${PG_USER}
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jsonData:
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database: ${PG_DATABASE}
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sslmode: disable
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postgresVersion: 1600
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secureJsonData:
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password: ${PG_PASSWORD}
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isDefault: true
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editable: true
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