chore: project skeleton with uv + pyproject + deps
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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# Cerbero MCP (locale durante Phase 1)
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CERBERO_BASE_URL=http://localhost:9000
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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 providers
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OPENROUTER_API_KEY=
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ANTHROPIC_API_KEY=
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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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# Multi_Swarm_Coevolutive — Phase 1
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Lean spike del PoC. Vedi `docs/superpowers/specs/2026-05-09-decisione-strategica-design.md`
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per il razionale e `docs/superpowers/plans/2026-05-09-phase1-lean-spike.md` per il
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piano implementativo.
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## Setup
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```bash
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uv sync
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cp .env.example .env # compilare token e API key
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uv run pytest # verifica che tutto installi
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```
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## Cerbero locale
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Phase 1 backtest legge dataset OHLCV cached, ma alcune feature di indicatore
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sono delegate a Cerbero. Avviare Cerbero locale prima di eseguire un run:
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```bash
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cd /home/adriano/Documenti/Git_XYZ/CerberoSuite/Cerbero_mcp
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docker compose up -d
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```
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## Comandi principali
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```bash
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uv run pytest # tutti i test
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uv run pytest tests/unit -v # solo unit
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uv run pytest tests/integration -v -m integration # solo integration
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uv run python scripts/run_phase1.py # run completo Phase 1
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uv run streamlit run src/multi_swarm/dashboard/streamlit_app.py
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```
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[project]
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name = "multi-swarm"
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version = "0.1.0"
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description = "Multi-Swarm Coevolutive PoC trading swarm — Phase 1 lean spike"
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authors = [{ name = "Adriano Dal Pastro", email = "adrianodalpastro@tielogic.com" }]
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requires-python = ">=3.13"
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dependencies = [
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"ccxt>=4.4",
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"pandas>=2.2",
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"numpy>=2.1",
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"scipy>=1.14",
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"pydantic>=2.9",
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"pydantic-settings>=2.6",
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"sqlmodel>=0.0.22",
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"sexpdata>=1.0.2",
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"anthropic>=0.39",
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"openai>=1.55",
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"httpx>=0.28",
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"tenacity>=9.0",
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"pyyaml>=6.0",
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"streamlit>=1.40",
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"plotly>=5.24",
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"pyarrow>=18.0",
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]
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[dependency-groups]
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dev = [
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"pytest>=8.3",
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"pytest-mock>=3.14",
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"pytest-asyncio>=0.24",
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"responses>=0.25",
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"ruff>=0.7",
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"mypy>=1.13",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/multi_swarm"]
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[tool.ruff]
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line-length = 100
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target-version = "py313"
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[tool.ruff.lint]
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select = ["E", "F", "W", "I", "N", "UP", "B", "RUF"]
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[tool.mypy]
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python_version = "3.13"
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strict = true
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "-v --tb=short"
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markers = [
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"integration: tests that require external services (Cerbero, LLM API)",
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"slow: tests that take more than 5 seconds",
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]
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"""Multi_Swarm_Coevolutive — Phase 1 lean spike."""
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__version__ = "0.1.0"
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