mirror of
https://ghfast.top/https://github.com/aeroxw/tick-stock-panel.git
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shy3130
697c27bb02
- 市场环境: 新增情绪周期6阶段(冰点/启动/主升/高潮/退潮/修复, 连板梯队驱动, EMA平滑+2日确认+弱档否决, 平均段长9.7天)与概念/行业主线排名(涨停梯队聚合, 可配置宽基/风格标签过滤); 市场环境页重构, regime 透明加列, 与5档state并存 - 挖掘: 因子与策略挖掘全链路(API/worker/进程锁/候选库/前端工作台/文档), 周度调度默认关闭且永不自动发布 - 回测: 财务快照因子(点时口径), 批量回测预计算共享下期收益, 信号路径矩阵列依赖展开修复(consecutive_limit_ups 缺列报错) - 数据/性能: enriched 生成与预热治理, 重任务限流, 行情/K线缓存复用, 时区修复 - 测试: 后端全量 914 通过; GUI 黑盒验证截图存证 gui-test-screenshots/
607 lines
20 KiB
Python
607 lines
20 KiB
Python
from __future__ import annotations
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import json
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from datetime import date, timedelta
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from pathlib import Path
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from types import SimpleNamespace
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from urllib.parse import quote
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import polars as pl
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import pytest
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from fastapi import FastAPI
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from fastapi.testclient import TestClient
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from app.api.mining import router
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from app.backtest.mining import compute_candidate_signature
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from app.services.mining_jobs import MiningRunStore
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from app.strategy.engine import StrategyEngine
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_FACTOR_DEFINITION = {
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"kind": "factor_rank",
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"factor_names": ["turnover_rate"],
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"scoring": {"turnover_rate": 1.0},
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"directions": {"turnover_rate": "high"},
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}
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_FACTOR_SIGNATURE = compute_candidate_signature(_FACTOR_DEFINITION)
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class _Repo:
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def __init__(self, data_dir) -> None:
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self.store = SimpleNamespace(data_dir=data_dir)
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@staticmethod
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def get_matrix_data_generation(asset_type="stock"):
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return f"generation-{asset_type}"
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@staticmethod
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def latest_enriched_date(asset_type="stock"):
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del asset_type
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return date(2026, 1, 9)
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@staticmethod
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def get_instruments_asset(asset_type):
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del asset_type
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return pl.DataFrame({"symbol": ["000001.SZ"], "name": ["测试"]})
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class _Manager:
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def __init__(self, data_dir) -> None:
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self.store = MiningRunStore(data_dir)
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def start(self, request, fingerprint, force=False, source="manual", run_id=None):
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del force
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manifest = self.store.create(request, fingerprint, run_id=run_id)
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self.store.append_event(
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manifest["run_id"],
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"queued",
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{"status": "queued", "source": source},
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)
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return manifest
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def cancel(self, run_id):
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manifest = self.store.get(run_id)
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if manifest is None:
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raise KeyError(run_id)
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if manifest["status"] == "queued":
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manifest = self.store.transition_status(run_id, "cancelled")
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self.store.append_event(run_id, "cancelled", {"status": "cancelled"})
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return manifest
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def _write_enriched_dates(
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data_dir: Path,
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count: int,
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*,
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asset_type: str = "stock",
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first: date = date(2020, 1, 1),
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) -> list[date]:
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dirname = "kline_etf_enriched" if asset_type == "etf" else "kline_daily_enriched"
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values = [first + timedelta(days=index) for index in range(count)]
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for value in values:
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partition = data_dir / dirname / f"date={value.isoformat()}"
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partition.mkdir(parents=True, exist_ok=True)
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(partition / "part.parquet").touch()
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return values
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def _client(tmp_path):
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_write_enriched_dates(tmp_path, 219, first=date(2022, 8, 15))
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app = FastAPI()
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app.include_router(router)
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app.state.repo = _Repo(tmp_path)
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app.state.mining_manager = _Manager(tmp_path)
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app.state.strategy_engine = SimpleNamespace()
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return TestClient(app), app.state.mining_manager.store
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def _successful_run(store: MiningRunStore, run_id: str = "result-run"):
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manifest = store.create(
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{
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"factor_names": ["turnover_rate"],
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"strategy_ids": [],
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"asset_type": "stock",
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"budget_profile": "exploratory",
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"correlation_threshold": 0.75,
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},
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{"generation": "test"},
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run_id=run_id,
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)
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store.append_event(run_id, "queued", {"status": "queued", "source": "manual"})
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store.transition_status(run_id, "running")
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store.append_event(run_id, "running", {"status": "running"})
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frames = {
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"factors": pl.DataFrame({
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"factor_name": ["turnover_rate"],
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"label": ["换手率"],
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"direction": [1],
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"score": [1.2],
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"ic_mean": [0.1],
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"ir": [0.8],
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"coverage": [1.0],
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"turnover": [0.2],
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"spread_return": [None],
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"spread_sharpe": [None],
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"selected": [True],
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"excluded_reason": [None],
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}),
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"correlation": pl.DataFrame({
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"factor_x": ["turnover_rate"],
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"factor_y": ["turnover_rate"],
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"rho": [1.0],
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"pair_count": [3],
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}),
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"candidates": pl.DataFrame({
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"signature": [_FACTOR_SIGNATURE],
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"name": ["因子组合 · 换手率"],
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"kind": ["factor_combination"],
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"factor_names_json": ['["turnover_rate"]'],
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"strategy_id": [None],
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"definition_json": [json.dumps(_FACTOR_DEFINITION, sort_keys=True)],
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"regime_state": ["overall"],
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"score": [0.9],
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"oos_return": [0.08],
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"oos_sharpe": [0.9],
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"oos_max_drawdown": [-0.12],
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"oos_positive_fold_ratio": [1.0],
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"oos_n_trades": [70],
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"confidence": ["standard"],
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"valid_folds": [3],
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"skipped_folds": [0],
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"promoted_candidate_id": [None],
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"published_strategy_id": [None],
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}, schema_overrides={
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"strategy_id": pl.String,
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"promoted_candidate_id": pl.String,
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"published_strategy_id": pl.String,
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}),
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"folds": pl.DataFrame({
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"candidate_signature": [_FACTOR_SIGNATURE, _FACTOR_SIGNATURE],
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"fold": [0, 0],
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"label": ["OOS 1", "OOS 1"],
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"regime_state": ["overall", "strong"],
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"n_dates": [3, 2],
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"train_start": ["2025-01-01", "2025-01-01"],
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"train_end": ["2025-12-31", "2025-12-31"],
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"test_start": ["2026-01-05", "2026-01-05"],
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"test_end": ["2026-01-09", "2026-01-09"],
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"selected_factors_json": ['["turnover_rate"]'] * 2,
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"total_return": [0.08, 0.1],
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"sharpe": [0.9, 1.1],
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"max_drawdown": [-0.12, -0.08],
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"n_trades": [70, 40],
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"skipped": [False, False],
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"reason": [None, None],
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}),
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}
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for name, frame in frames.items():
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frame.write_parquet(store.artifact_path(run_id, name))
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store.register_artifact(run_id, name)
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store.write_summary(run_id, {
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"status": "succeeded",
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"factor_count": 1,
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"selected_factor_count": 1,
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"candidate_count": 1,
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"valid_fold_count": 1,
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"skipped_fold_count": 0,
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"confidence": "low",
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"budget_exhausted": False,
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"elapsed_ms": 123.4,
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"data_as_of": "2026-01-09",
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"methodology_version": "factor_v2",
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"algorithm_version": "mining-v1",
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"panel_scans": 1,
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"matrix_bytes": 4096,
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"phase_ms": {"panel": 1.0, "total": 123.4},
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"worker": {"peak_rss_bytes": 1000, "serialized_result_bytes": 2000},
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})
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store.transition_status(run_id, "succeeded")
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store.append_event(run_id, "succeeded", {"status": "succeeded"})
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return manifest
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def test_start_is_strict_and_projects_server_signature(tmp_path):
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client, store = _client(tmp_path)
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payload = {
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"factor_names": ["turnover_rate"],
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"budget_profile": "exploratory",
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"force": False,
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}
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response = client.post("/api/backtest/mining/runs", json=payload)
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assert response.status_code == 200
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body = response.json()
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assert body["status"] == "queued"
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assert body["signature"] == store.get(body["run_id"])["run_signature"]
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assert body["request"]["factor_names"] == ["turnover_rate"]
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assert "force" not in body["request"]
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assert body["source"] == "manual"
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assert client.post(
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"/api/backtest/mining/runs",
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json={**payload, "matching": "close_t"},
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).status_code == 422
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assert client.post(
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"/api/backtest/mining/runs",
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json={"factor_names": ["unknown_factor"]},
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).status_code == 422
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def test_start_accepts_iso_dates_and_persists_json_safe_request(tmp_path):
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client, store = _client(tmp_path)
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response = client.post(
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"/api/backtest/mining/runs",
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json={
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"factor_names": ["turnover_rate"],
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"budget_profile": "exploratory",
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"start": "2022-08-15",
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"end": "2026-08-15",
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},
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)
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assert response.status_code == 200
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run_id = response.json()["run_id"]
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manifest = store.get(run_id)
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assert manifest is not None
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assert manifest["request"]["start"] == "2022-08-15"
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assert manifest["request"]["end"] == "2026-08-15"
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assert client.post(
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"/api/backtest/mining/runs",
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json={
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"factor_names": ["turnover_rate"],
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"start": "2022/08/15",
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},
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).status_code == 422
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@pytest.mark.parametrize(
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("profile", "required_bars"),
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[("exploratory", 219), ("balanced", 786), ("strict", 1164)],
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)
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def test_availability_enforces_exact_profile_boundaries(
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tmp_path,
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profile,
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required_bars,
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):
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client, _store = _client(tmp_path)
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dates = _write_enriched_dates(
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tmp_path,
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required_bars,
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first=date(2015, 1, 1),
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)
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eligible = client.get(
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"/api/backtest/mining/availability",
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params={
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"asset_type": "stock",
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"budget_profile": profile,
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"start": dates[0].isoformat(),
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"end": dates[-1].isoformat(),
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},
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)
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insufficient = client.get(
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"/api/backtest/mining/availability",
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params={
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"asset_type": "stock",
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"budget_profile": profile,
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"start": dates[1].isoformat(),
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"end": dates[-1].isoformat(),
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},
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)
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assert eligible.status_code == 200
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assert eligible.json() == {
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"asset_type": "stock",
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"budget_profile": profile,
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"trading_bars": required_bars,
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"required_bars": required_bars,
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"outer_folds": 1 if profile == "exploratory" else 3,
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"required_outer_folds": 1 if profile == "exploratory" else 3,
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"eligible": True,
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"available_start": dates[0].isoformat(),
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"available_end": "2023-03-21",
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"effective_start": dates[0].isoformat(),
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"effective_end": dates[-1].isoformat(),
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"suggested_start": dates[0].isoformat(),
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}
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assert insufficient.status_code == 200
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assert insufficient.json()["trading_bars"] == required_bars - 1
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assert insufficient.json()["eligible"] is False
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assert insufficient.json()["suggested_start"] == dates[0].isoformat()
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def test_start_rejects_balanced_625_bar_range_before_creating_run(tmp_path):
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client, store = _client(tmp_path)
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dates = _write_enriched_dates(tmp_path, 625, first=date(2024, 1, 15))
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response = client.post(
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"/api/backtest/mining/runs",
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json={
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"factor_names": ["turnover_rate"],
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"budget_profile": "balanced",
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"start": dates[0].isoformat(),
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"end": dates[-1].isoformat(),
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"force": True,
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},
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)
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assert response.status_code == 400
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assert response.json()["detail"] == (
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"balanced mining requires at least 786 enriched trading bars for 3 outer "
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"folds; effective range 2024-01-15 to 2025-09-30 has 625"
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)
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assert store.list_runs() == []
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def test_availability_uses_asset_specific_valid_partitions(tmp_path):
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client, _store = _client(tmp_path)
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etf_dates = _write_enriched_dates(
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tmp_path,
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219,
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asset_type="etf",
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first=date(2024, 1, 1),
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)
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malformed = tmp_path / "kline_etf_enriched" / "date=not-a-date"
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malformed.mkdir(parents=True)
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(malformed / "part.parquet").touch()
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(tmp_path / "kline_etf_enriched" / "date=2023-12-31").mkdir(parents=True)
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response = client.get(
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"/api/backtest/mining/availability",
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params={
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"asset_type": "etf",
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"budget_profile": "exploratory",
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"start": etf_dates[0].isoformat(),
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"end": etf_dates[-1].isoformat(),
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},
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)
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assert response.status_code == 200
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assert response.json()["trading_bars"] == 219
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assert response.json()["eligible"] is True
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def test_result_reconstructs_artifacts_without_exposing_definition(tmp_path):
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client, store = _client(tmp_path)
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_successful_run(store)
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response = client.get("/api/backtest/mining/runs/result-run/result")
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assert response.status_code == 200
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body = response.json()
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assert body["summary"]["peak_rss_bytes"] == 1000
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assert body["correlation"]["matrix"] == [[1.0]]
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assert body["candidates"][0]["factor_names"] == ["turnover_rate"]
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assert "definition_json" not in body["candidates"][0]
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assert body["candidates"][0]["folds"][0]["selected_factors"] == ["turnover_rate"]
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assert body["candidates"][0]["gate"] == {"qualified": True, "reasons": []}
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assert body["request_summary"] == {
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"asset_type": "stock",
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"budget_profile": "exploratory",
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"start": None,
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"end": None,
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"factor_count": 1,
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"strategy_count": 0,
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"commission_pct": None,
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"stamp_tax_pct": None,
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"slippage_bps": None,
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"correlation_threshold": 0.75,
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}
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regimes = {row["state"]: row for row in body["regimes"]}
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assert regimes["overall"]["n_dates"] == 3
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assert regimes["strong"]["n_dates"] == 2
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assert regimes["range"]["total_return"] is None
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assert body["telemetry"]["panel_scans"] == 1
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def test_result_marks_legacy_fold_rows_without_evaluation_kind(tmp_path):
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client, store = _client(tmp_path)
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_successful_run(store)
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response = client.get("/api/backtest/mining/runs/result-run/result")
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assert response.status_code == 200
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fold = response.json()["candidates"][0]["folds"][0]
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assert fold["evaluation_kind"] is None
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def test_publish_endpoint_rejects_candidate_below_evidence_gate(tmp_path):
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client, store = _client(tmp_path)
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_successful_run(store)
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path = store.artifact_path("result-run", "candidates")
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pl.read_parquet(path).with_columns(
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pl.lit("low").alias("confidence"),
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).write_parquet(path)
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response = client.post(
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f"/api/backtest/mining/runs/result-run/candidates/"
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f"{quote(_FACTOR_SIGNATURE, safe='')}/publish",
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)
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assert response.status_code == 400
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assert "exploratory results can only be saved" in response.json()["detail"]
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def test_promote_endpoint_uses_persisted_definition_only(tmp_path):
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client, store = _client(tmp_path)
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_successful_run(store)
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response = client.post(
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f"/api/backtest/mining/runs/result-run/candidates/"
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f"{quote(_FACTOR_SIGNATURE, safe='')}/promote"
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)
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assert response.status_code == 200
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body = response.json()
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assert body["status"] == "pending"
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assert body["config"]["origin_run_id"] == "result-run"
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assert body["config"]["candidate_signature"] == _FACTOR_SIGNATURE
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assert body["config"]["factor_names"] == ["turnover_rate"]
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assert "definition_json" not in body
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persisted = pl.read_parquet(store.artifact_path("result-run", "candidates"))
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assert persisted["promoted_candidate_id"][0] == body["id"]
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def test_publish_endpoint_uses_persisted_definition_and_invalidates_runtime(
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tmp_path,
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) -> None:
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client, store = _client(tmp_path)
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_successful_run(store)
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builtin_dir = Path(__file__).resolve().parents[1] / "app" / "strategy" / "builtin"
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custom_dir = tmp_path / "strategies" / "custom"
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engine = StrategyEngine(strategy_dirs=[builtin_dir, custom_dir])
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invalidations: list[str] = []
|
|
client.app.state.strategy_engine = engine
|
|
client.app.state.monitor_engine = SimpleNamespace(
|
|
invalidate_strategy_state=lambda: invalidations.append("monitor")
|
|
)
|
|
|
|
response = client.post(
|
|
f"/api/backtest/mining/runs/result-run/candidates/"
|
|
f"{quote(_FACTOR_SIGNATURE, safe='')}/publish",
|
|
json={
|
|
"strategy_id": "caller-selected",
|
|
"scoring": {"rsi_14": 999.0},
|
|
},
|
|
)
|
|
|
|
assert response.status_code == 200
|
|
strategy_id = response.json()["strategy_id"]
|
|
strategy = engine.get(strategy_id)
|
|
assert strategy.meta["origin_run_id"] == "result-run"
|
|
assert strategy.meta["candidate_signature"] == _FACTOR_SIGNATURE
|
|
assert strategy.matrix_strategy._scoring == {"turnover_rate": 1.0}
|
|
assert strategy.matrix_strategy._directions == {"turnover_rate": "high"}
|
|
assert invalidations == ["monitor"]
|
|
persisted = pl.read_parquet(store.artifact_path("result-run", "candidates"))
|
|
assert persisted["published_strategy_id"][0] == strategy_id
|
|
|
|
|
|
def test_result_fails_closed_when_artifact_is_missing(tmp_path):
|
|
client, store = _client(tmp_path)
|
|
_successful_run(store)
|
|
store.artifact_path("result-run", "folds").unlink()
|
|
|
|
response = client.get("/api/backtest/mining/runs/result-run/result")
|
|
|
|
assert response.status_code == 500
|
|
assert response.json()["detail"] == "mining result artifacts are unavailable"
|
|
|
|
|
|
def test_sse_maps_failed_event_and_honors_last_event_id(tmp_path):
|
|
client, store = _client(tmp_path)
|
|
store.create(
|
|
{"factor_names": ["turnover_rate"]},
|
|
{"generation": "test"},
|
|
run_id="failed-run",
|
|
)
|
|
queued = store.append_event(
|
|
"failed-run", "queued", {"status": "queued", "source": "manual"}
|
|
)
|
|
store.transition_status("failed-run", "failed", error="worker failed")
|
|
failed = store.append_event(
|
|
"failed-run", "error", {"status": "failed", "message": "worker failed"}
|
|
)
|
|
|
|
response = client.get(
|
|
"/api/backtest/mining/runs/failed-run/events",
|
|
headers={"Last-Event-ID": str(queued["id"])},
|
|
)
|
|
|
|
assert response.status_code == 200
|
|
assert f"id: {failed['id']}" in response.text
|
|
assert "event: failed" in response.text
|
|
assert "event: error" not in response.text
|
|
assert "worker failed" in response.text
|
|
|
|
|
|
def test_sse_recovers_progress_snapshot_when_history_is_truncated(tmp_path):
|
|
client, store = _client(tmp_path)
|
|
store.create(
|
|
{"factor_names": ["turnover_rate"]},
|
|
{"generation": "test"},
|
|
run_id="truncated-run",
|
|
)
|
|
store.write_summary(
|
|
"truncated-run",
|
|
{"progress": {"phase": "search", "done": 7, "total": 10}},
|
|
)
|
|
for index in range(260):
|
|
store.append_event(
|
|
"truncated-run",
|
|
"progress",
|
|
{"phase": "search", "done": index, "total": 260},
|
|
)
|
|
store.transition_status("truncated-run", "failed", error="worker failed")
|
|
store.append_event(
|
|
"truncated-run",
|
|
"error",
|
|
{"status": "failed", "message": "worker failed"},
|
|
)
|
|
|
|
response = client.get("/api/backtest/mining/runs/truncated-run/events")
|
|
|
|
assert response.status_code == 200
|
|
assert '"done": 7' in response.text
|
|
assert "event: failed" in response.text
|
|
|
|
|
|
def test_start_rejects_incompatible_strategy_before_creating_run(tmp_path):
|
|
client, store = _client(tmp_path)
|
|
client.app.state.strategy_engine = SimpleNamespace(
|
|
get=lambda _strategy_id: SimpleNamespace(
|
|
meta={
|
|
"research_only": True,
|
|
"asset_types": ["stock"],
|
|
"timeframes": ["1d"],
|
|
},
|
|
execution_backend="matrix_native",
|
|
)
|
|
)
|
|
|
|
response = client.post(
|
|
"/api/backtest/mining/runs",
|
|
json={
|
|
"factor_names": ["turnover_rate"],
|
|
"strategy_ids": ["factor_rank_research"],
|
|
"budget_profile": "exploratory",
|
|
},
|
|
)
|
|
|
|
assert response.status_code == 400
|
|
assert store.list_runs() == []
|
|
|
|
|
|
def test_config_patch_merges_current_values(tmp_path, monkeypatch):
|
|
client, _store = _client(tmp_path)
|
|
current = {
|
|
"mining_schedule_enabled": False,
|
|
"mining_schedule_weekday": 4,
|
|
"mining_budget_profile": "balanced",
|
|
}
|
|
saved = []
|
|
monkeypatch.setattr(
|
|
"app.api.mining.preferences.get_mining_schedule",
|
|
lambda: dict(current),
|
|
)
|
|
|
|
def set_schedule(enabled, weekday, profile):
|
|
saved.append((enabled, weekday, profile))
|
|
return {
|
|
"mining_schedule_enabled": enabled,
|
|
"mining_schedule_weekday": weekday,
|
|
"mining_budget_profile": profile,
|
|
}
|
|
|
|
monkeypatch.setattr("app.api.mining.preferences.set_mining_schedule", set_schedule)
|
|
|
|
response = client.patch(
|
|
"/api/backtest/mining/config",
|
|
json={"mining_schedule_enabled": True},
|
|
)
|
|
|
|
assert response.status_code == 200
|
|
assert saved == [(True, 4, "balanced")]
|
|
assert client.patch("/api/backtest/mining/config", json={}).status_code == 400
|