b6539802e0
- mv src/multi_swarm → src/multi_swarm_core/multi_swarm_core (member layout) - sed-replace globale degli import: from/import multi_swarm.* → multi_swarm_core.* - 115 occorrenze aggiornate in src/ scripts/ tests/ - multi_swarm_coevolutive (nome repo) preservato dal word boundary Pre-condizione per il setup uv workspace della Fase 3. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
from __future__ import annotations
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import json
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from pathlib import Path
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import numpy as np
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import pandas as pd # type: ignore[import-untyped]
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from multi_swarm_core.genome.hypothesis import HypothesisAgentGenome, ModelTier
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from multi_swarm_core.llm.client import CompletionResult
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from multi_swarm_core.orchestrator.run import RunConfig, run_phase1
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_MOCK_STRATEGY = json.dumps(
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{
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"rules": [
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{
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"condition": {
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"op": "gt",
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"args": [
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{"kind": "indicator", "name": "rsi", "params": [14]},
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{"kind": "literal", "value": 70.0},
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],
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},
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"action": "entry-short",
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},
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{
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"condition": {
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"op": "lt",
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"args": [
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{"kind": "indicator", "name": "rsi", "params": [14]},
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{"kind": "literal", "value": 30.0},
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],
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},
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"action": "entry-long",
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},
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]
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}
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)
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class MockLLMClient:
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def complete(
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self, genome: HypothesisAgentGenome, system: str, user: str,
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max_tokens: int = 2000,
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) -> CompletionResult:
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text = "```json\n" + _MOCK_STRATEGY + "\n```"
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return CompletionResult(
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text=text, input_tokens=120, output_tokens=60,
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tier=genome.model_tier, model="mock",
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)
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def main() -> None:
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idx = pd.date_range("2024-01-01", periods=1000, freq="1h", tz="UTC")
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close = 100 + np.cumsum(np.random.RandomState(0).normal(0.01, 1.0, 1000))
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ohlcv = pd.DataFrame(
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{"open": close, "high": close + 0.5, "low": close - 0.5, "close": close, "volume": 1.0},
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index=idx,
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)
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cfg = RunConfig(
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run_name="smoke",
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population_size=3,
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n_generations=1,
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elite_k=1,
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tournament_k=2,
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p_crossover=0.5,
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seed=0,
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model_tier=ModelTier.C,
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db_path=Path("./runs.db"),
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)
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run_id = run_phase1(cfg, ohlcv=ohlcv, llm=MockLLMClient()) # type: ignore[arg-type]
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print(f"Smoke run completed: {run_id}")
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if __name__ == "__main__":
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main()
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