Adriano Dal Pastro
8e5efde219
Dockerfile multi-stage (python:3.13-slim + uv) e docker-compose con due servizi che condividono l'immagine: - multi-swarm-paper: runner long-running scripts/run_paper_trading.py - multi-swarm-dashboard: Streamlit su https://swarm.${DOMAIN_NAME} Cerbero raggiunto via rete docker interna (http://cerbero-mcp:9000) saltando il giro pubblico traefik+TLS. Persistenza via bind mount su data/, series/, state/ (runs.db con WAL), strategies/ in read-only. .env.example aggiornato con DOMAIN_NAME, SWARM_DASHBOARD_PORT (porta interna parametrizzabile) e i PAPER_* per override del command. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
38 lines
1.3 KiB
Bash
38 lines
1.3 KiB
Bash
# Cerbero MCP — VPS endpoint per dati storici reali
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CERBERO_BASE_URL=https://cerbero-mcp.tielogic.xyz
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# NOTE: per dati storici reali Phase 1 (BTC-PERPETUAL Deribit) serve il MAINNET_TOKEN.
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# Il TESTNET_TOKEN punta agli endpoint testnet degli exchange — utile solo per smoke test.
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CERBERO_TESTNET_TOKEN=
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CERBERO_MAINNET_TOKEN=
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CERBERO_BOT_TAG=swarm-poc-phase1
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# LLM provider (single endpoint via OpenRouter — supports anthropic/openai/qwen/llama models)
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OPENROUTER_API_KEY=
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OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
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# Models per tier (override Phase 1 defaults if needed)
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LLM_MODEL_TIER_S=google/gemini-3-flash-preview
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LLM_MODEL_TIER_A=deepseek/deepseek-v4-flash
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LLM_MODEL_TIER_B=deepseek/deepseek-v4-flash
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LLM_MODEL_TIER_C=qwen/qwen-2.5-72b-instruct
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LLM_MODEL_TIER_D=openai/gpt-oss-20b
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# Run config
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RUN_NAME=phase1-spike-001
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DATA_DIR=./data
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SERIES_DIR=./series
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DB_PATH=./runs.db
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# Docker / Traefik (usati SOLO da docker-compose.yml)
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# Dominio base: traefik espone la dashboard su swarm.${DOMAIN_NAME}
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DOMAIN_NAME=tielogic.xyz
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# Porta interna della Streamlit dashboard (Traefik fa il TLS davanti)
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SWARM_DASHBOARD_PORT=8501
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# Paper-trading runner — override del command nel compose (opzionali)
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PAPER_RUN_NAME=phase3-papertrade-prod
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PAPER_INITIAL_CAPITAL=1000
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PAPER_FEES_BP=5.0
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PAPER_POLL_SECONDS=300
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PAPER_LOOKBACK_BARS=500
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