ba4eb09a71
Task 6 del piano Phase 2.5 (deferito → ora completato): - CostRecord: nuovo campo call_kind (default "hypothesis") - CostTracker.record: accetta call_kind opzionale, summary include by_call_kind breakdown (hypothesis vs mutation) - Schema cost_records: aggiunta colonna call_kind TEXT NOT NULL DEFAULT 'hypothesis' + migration soft via ALTER TABLE in init_schema (silently catched per DB pre-Task 6) - Repository.save_cost_record: nuova arg call_kind opzionale - mutate_prompt_llm: accetta cost_tracker/repo/run_id opzionali e logga la call mutator con call_kind="mutation" quando sink presente - weighted_random_mutate, next_generation: propagano cost sink - orchestrator.run_phase1: passa cost_tracker+repo+run_id a next_generation solo se prompt_mutation_weight > 0 Esposto fees_eat_alpha_threshold come parametro AdversarialAgent (default 0.5 = comportamento Phase 1.5 invariato), propagato via RunConfig.fees_eat_alpha_threshold e flag CLI --fees-eat-alpha-threshold. Abilita ablation con soglia 0.7-0.8 senza modificare codice — adversarial finding dominante in tutti i run Phase 2/2.5 (50+ HIGH per run). Tests (+4 → 186 totale): - test_cost_tracker: default call_kind="hypothesis"; breakdown by_call_kind con hypothesis+mutation - test_mutation_prompt_llm: logging mutation cost con sink completo; backward compat senza sink (no errore) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
109 lines
3.7 KiB
Python
109 lines
3.7 KiB
Python
from __future__ import annotations
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import argparse
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from datetime import datetime
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from multi_swarm.cerbero.client import CerberoClient
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from multi_swarm.config import load_settings
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from multi_swarm.data.cerbero_ohlcv import CerberoOHLCVLoader, OHLCVRequest
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from multi_swarm.genome.hypothesis import ModelTier
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from multi_swarm.llm.client import LLMClient
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from multi_swarm.orchestrator.run import RunConfig, run_phase1
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def parse_args() -> argparse.Namespace:
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p = argparse.ArgumentParser(description="Multi-Swarm Phase 1 runner")
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p.add_argument("--name", default="phase1-spike-001")
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p.add_argument("--population-size", type=int, default=20)
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p.add_argument("--n-generations", type=int, default=10)
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p.add_argument("--elite-k", type=int, default=2)
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p.add_argument("--tournament-k", type=int, default=3)
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p.add_argument("--p-crossover", type=float, default=0.5)
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p.add_argument("--seed", type=int, default=42)
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p.add_argument(
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"--exchange",
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default="deribit",
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choices=["deribit", "bybit", "hyperliquid"],
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)
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p.add_argument("--symbol", default="BTC-PERPETUAL")
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p.add_argument("--timeframe", default="1h")
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p.add_argument("--start", default="2024-01-01T00:00:00+00:00")
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p.add_argument("--end", default="2026-01-01T00:00:00+00:00")
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p.add_argument("--fees-bp", type=float, default=5.0)
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p.add_argument("--n-trials-dsr", type=int, default=50)
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p.add_argument(
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"--prompt-mutation-weight",
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type=float,
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default=0.0,
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help="Phase 2.5: probabilità (0-1) che la mutazione invochi LLM mutator tier B",
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)
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p.add_argument(
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"--fees-eat-alpha-threshold",
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type=float,
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default=0.5,
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help="Adversarial gate: kill se fees/gross_pnl > soglia (default 0.5, ablation 0.7)",
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)
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return p.parse_args()
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def main() -> None:
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args = parse_args()
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settings = load_settings()
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token = (
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settings.cerbero_mainnet_token.get_secret_value()
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if settings.cerbero_mainnet_token
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else settings.cerbero_testnet_token.get_secret_value()
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)
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cerbero = CerberoClient(
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base_url=settings.cerbero_base_url,
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token=token,
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bot_tag=settings.cerbero_bot_tag,
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)
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loader = CerberoOHLCVLoader(client=cerbero, cache_dir=settings.series_dir)
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req = OHLCVRequest(
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symbol=args.symbol,
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timeframe=args.timeframe,
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start=datetime.fromisoformat(args.start),
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end=datetime.fromisoformat(args.end),
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exchange=args.exchange,
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)
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ohlcv = loader.load(req)
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print(f"OHLCV loaded: {len(ohlcv)} bars from {ohlcv.index[0]} to {ohlcv.index[-1]}")
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llm = LLMClient(
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openrouter_api_key=settings.openrouter_api_key.get_secret_value(),
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model_tier_s=settings.llm_model_tier_s,
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model_tier_a=settings.llm_model_tier_a,
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model_tier_b=settings.llm_model_tier_b,
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model_tier_c=settings.llm_model_tier_c,
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model_tier_d=settings.llm_model_tier_d,
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openrouter_base_url=settings.openrouter_base_url,
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)
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cfg = RunConfig(
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run_name=args.name,
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population_size=args.population_size,
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n_generations=args.n_generations,
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elite_k=args.elite_k,
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tournament_k=args.tournament_k,
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p_crossover=args.p_crossover,
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seed=args.seed,
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model_tier=ModelTier.C,
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symbol=args.symbol,
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timeframe=args.timeframe,
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fees_bp=args.fees_bp,
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n_trials_dsr=args.n_trials_dsr,
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db_path=settings.db_path,
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prompt_mutation_weight=args.prompt_mutation_weight,
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fees_eat_alpha_threshold=args.fees_eat_alpha_threshold,
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)
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run_id = run_phase1(cfg, ohlcv=ohlcv, llm=llm)
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print(f"Run completed: {run_id}")
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if __name__ == "__main__":
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main()
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