- agent/tools.py:Tool 元数据(JSON Schema)+ 白名单调用(异常转可读反馈,不中断对话) - agent/tools_impl.py:6 个受控工具 search_stocks / get_market_data / test_factor / run_backtest / get_experiment / compare_experiments —— 全部只读经 Job/Experiment 链路,研究自动归档;无 shell/任意执行/写删数据能力 - agent/llm.py:LLMClient 抽象 + OpenAI 兼容客户端(LLM_API_KEY/LLM_BASE_URL/LLM_MODEL 走 .env,未配置给出引导提示)+ 研究纪律 system prompt(反过拟合/样本外/成本) - agent/service.py:编排循环(tool/final JSON 决策 → 执行 → 回喂 → 结论),轮次上限兜底,未知工具拒绝 - /api/agent/chat;httpx 移至主依赖;Job 默认工厂抽取(api/agent/executor 复用) - 测试 6 项(白名单无 shell、完整研究循环产出、未知工具拒绝、轮次兜底),全量 79 passed / ruff clean
201 lines
6.9 KiB
Python
201 lines
6.9 KiB
Python
"""Job 执行编排与 Experiment 归档(Phase 4)。
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execute_job 在后台运行:状态机 queued→running→(success|failed),
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成功时自动把 spec/result 存为 Experiment(含代码版本),实现「研究可复现」(AGENT.md §21)。
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独立 Session 生命周期(不依赖请求 scope),可被 FastAPI BackgroundTasks 或测试直接调用。
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"""
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from __future__ import annotations
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import json
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import subprocess
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import uuid
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from collections.abc import Callable
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from datetime import datetime
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from pathlib import Path
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from app.domain.entities.research import (
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BacktestResult,
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ExperimentRecord,
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FactorTestReport,
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JobRecord,
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JobStatus,
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ResearchSpec,
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)
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from app.quant.service import ResearchService
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PROJECT_ROOT = Path(__file__).resolve().parents[3]
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def new_id(prefix: str) -> str:
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return f"{prefix}-{uuid.uuid4().hex[:8].upper()}"
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def _git_short_rev() -> str | None:
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try:
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out = subprocess.run(
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["git", "rev-parse", "--short", "HEAD"],
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cwd=PROJECT_ROOT,
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capture_output=True,
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text=True,
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timeout=5,
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check=False,
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)
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return out.stdout.strip() or None
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except Exception: # noqa: BLE001
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return None
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def _summary_text(kind: str, result: BacktestResult | FactorTestReport) -> str | None:
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if kind == "backtest" and isinstance(result, BacktestResult):
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s = result.summary
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return f"总收益 {s.total_return_pct:.2f}% · 年化 {s.annual_return_pct:.2f}% · 回撤 {s.max_drawdown_pct:.2f}%"
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if isinstance(result, FactorTestReport):
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return f"IC {result.ic_mean:.4f} · RankIC {result.rank_ic_mean:.4f} · 样本 {result.sample_days} 日"
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return None
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def _execute_inner(
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job_id: str,
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*,
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session_factory: Callable,
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job_repo_factory: Callable,
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experiment_repo_factory: Callable,
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stock_repo_factory: Callable,
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daily_repo_factory: Callable,
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engine,
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) -> None:
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with session_factory() as session:
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job_repo = job_repo_factory(session)
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experiment_repo = experiment_repo_factory(session)
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job = job_repo.get(job_id)
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if job is None:
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return
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job.status = JobStatus.RUNNING
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job.started_at = datetime.now()
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job_repo.update(job)
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session.commit()
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try:
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spec = ResearchSpec.model_validate_json(job.spec_json)
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service = ResearchService(
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stock_repo_factory(session), daily_repo_factory(session), engine
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)
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if spec.type == "backtest":
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result = service.run_backtest(spec)
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else:
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result = service.run_factor_test(spec)
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result_json = json.dumps(result.model_dump(mode="json"), ensure_ascii=False)
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experiment = ExperimentRecord(
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id=new_id("EXP"),
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kind=spec.type,
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spec_json=job.spec_json,
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result_json=result_json,
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summary_text=_summary_text(spec.type, result),
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code_version=_git_short_rev(),
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job_id=job.id,
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created_at=datetime.now(),
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)
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experiment_repo.save(experiment)
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job.result_json = result_json
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job.experiment_id = experiment.id
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job.status = JobStatus.SUCCESS
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job.error = None
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except Exception as exc: # noqa: BLE001 —— 统一记为 failed 供前端展示
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job.status = JobStatus.FAILED
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job.error = f"{type(exc).__name__}: {exc}"
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finally:
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job.finished_at = datetime.now()
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job_repo.update(job)
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session.commit()
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def execute_job(
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job_id: str,
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*,
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session_factory: Callable,
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job_repo_factory: Callable,
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experiment_repo_factory: Callable,
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stock_repo_factory: Callable,
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daily_repo_factory: Callable,
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engine,
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) -> None:
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"""入口包装:任何未预期异常都将 Job 标记 failed(防止卡在 queued/running)。"""
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try:
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_execute_inner(
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job_id,
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session_factory=session_factory,
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job_repo_factory=job_repo_factory,
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experiment_repo_factory=experiment_repo_factory,
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stock_repo_factory=stock_repo_factory,
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daily_repo_factory=daily_repo_factory,
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engine=engine,
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)
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except Exception as exc: # noqa: BLE001
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try:
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with session_factory() as session:
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repo = job_repo_factory(session)
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job = repo.get(job_id)
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if job is not None:
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job.status = JobStatus.FAILED
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job.error = f"内部错误: {type(exc).__name__}: {exc}"
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job.finished_at = datetime.now()
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repo.update(job)
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session.commit()
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except Exception: # noqa: BLE001
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pass
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def default_factories() -> dict:
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"""后台执行所需的独立 Session / Repository / 引擎装配(跨请求生命周期)。"""
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from app.infrastructure.persistence.sqlalchemy.repositories.jobs_impl import (
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SqlAlchemyExperimentRepository,
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SqlAlchemyJobRepository,
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)
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from app.infrastructure.persistence.sqlalchemy.repositories.market_impl import (
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SqlAlchemyDailyBarRepository,
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SqlAlchemyStockRepository,
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)
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from app.infrastructure.persistence.sqlalchemy.session import SessionLocal
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from app.quant.engine import LocalEngine
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return {
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"session_factory": SessionLocal,
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"job_repo_factory": lambda s: SqlAlchemyJobRepository(s),
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"experiment_repo_factory": lambda s: SqlAlchemyExperimentRepository(s),
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"stock_repo_factory": lambda s: SqlAlchemyStockRepository(s),
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"daily_repo_factory": lambda s: SqlAlchemyDailyBarRepository(s),
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"engine": LocalEngine(),
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}
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def submit_and_run(spec: ResearchSpec, *, factories: dict | None = None) -> JobRecord:
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"""同步创建并执行一个 Job(复用 Job 状态机与 Experiment 归档),返回终态 Job。"""
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facts = factories or default_factories()
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session_factory = facts["session_factory"]
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job_repo = facts["job_repo_factory"]
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job = JobRecord(
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id=new_id("JOB"),
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kind=spec.type,
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spec_json=json.dumps(spec.model_dump(mode="json"), ensure_ascii=False),
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status=JobStatus.QUEUED,
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created_at=datetime.now(),
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)
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with session_factory() as session:
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job_repo(session).create(job)
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session.commit()
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execute_job(
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job.id,
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session_factory=session_factory,
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job_repo_factory=job_repo,
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experiment_repo_factory=facts["experiment_repo_factory"],
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stock_repo_factory=facts["stock_repo_factory"],
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daily_repo_factory=facts["daily_repo_factory"],
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engine=facts["engine"],
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)
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with session_factory() as session:
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done = job_repo(session).get(job.id)
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assert done is not None
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return done
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