from __future__ import annotations import argparse from pathlib import Path from datetime import datetime from dotenv import load_dotenv from app.config import AppConfig, Paths, LLMConfig from app.dataio import load_data from app.logging_setup import setup_logging from app.checkpoint import CheckpointManager from app.llm import LLMClient from app.engine import Engine def parse_args(): p = argparse.ArgumentParser() p.add_argument("--data-dir", type=Path, required=True) p.add_argument("--out-dir", type=Path, required=True) p.add_argument("--ckpt-dir", type=Path, default=None, help="Directory to store and resume checkpoints (default: /checkpoint)") p.add_argument("--start", type=str, default="2023-12-29 15:15") p.add_argument("--end", type=str, default="2024-05-01 09:15") return p.parse_args() def main(): load_dotenv() args = parse_args() # Determine checkpoint directory (default = out-dir/checkpoint) ckpt_dir = args.ckpt_dir or (args.out_dir / "checkpoint") ckpt_dir.mkdir(parents=True, exist_ok=True) cfg = AppConfig(paths=Paths(args.data_dir, args.out_dir)) logger = setup_logging(cfg.paths.out_dir / "trade_log.log") bundle = load_data(cfg.paths) llm_cfg = LLMConfig() llm = LLMClient( api_key=llm_cfg.api_key, model=llm_cfg.model, base_url=llm_cfg.base_url, temperature=llm_cfg.temperature, top_p=llm_cfg.top_p, ) # Create checkpoint manager ckpt = CheckpointManager(ckpt_dir) # Pass checkpoint manager into engine engine = Engine( llm=llm, logger=logger, bundle=bundle, out_dir=cfg.paths.out_dir, checkpoint=ckpt, ) start = datetime.fromisoformat(args.start) end = datetime.fromisoformat(args.end) engine.run(start, end) if __name__ == "__main__": main()