55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
from __future__ import annotations
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from pathlib import Path
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import numpy as np
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import pandas as pd
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from multi_swarm.genome.hypothesis import HypothesisAgentGenome, ModelTier
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from multi_swarm.llm.client import CompletionResult
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from multi_swarm.orchestrator.run import RunConfig, run_phase1
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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 = (
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"```lisp\n"
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"(strategy"
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" (when (gt (indicator rsi 14) 70.0) (entry-short))"
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" (when (lt (indicator rsi 14) 30.0) (entry-long)))\n"
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"```"
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)
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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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