mirror of
https://ghfast.top/https://github.com/aeroxw/tick-stock-panel.git
synced 2026-09-12 21:24:16 +08:00
shy3130
b531475ca8
扩展表 PullScheduler 每轮成功写入都会经 invalidate_ext_caches 销毁 strategy_cache, 策略页随之下一次轮询整页空白, 且前端会话级防重入 (runAllDateRef) 不会自动补跑, 小服务器上全量重算需分钟级 → 页面长期黑屏。 例行数据刷新改为只失效扩展帧缓存与注册同步状态 (下次策略运行自然 读到新值); 手动上传/配置变更保持全清 (触发下次全量重算) 旧行为。 keep_strategy_cache 沿 fetch_and_ingest → rows_to_parquet → write_ext_parquet → invalidate_ext_caches 显式传递。
547 lines
22 KiB
Python
547 lines
22 KiB
Python
"""扩展数据定时拉取引擎 — 从外部 API 拉取数据写入 Parquet。"""
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from __future__ import annotations
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import asyncio
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import json
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import logging
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import threading
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from datetime import UTC, date, datetime, timezone
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from functools import reduce
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from pathlib import Path
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from typing import Any
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import httpx
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from app.market_time import cn_now, cn_today
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from app.services.ext_data import (
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ExtConfig,
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ExtConfigStore,
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PullConfig,
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rows_to_parquet,
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)
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logger = logging.getLogger(__name__)
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def outbound_headers(user_headers: dict[str, str] | None = None) -> dict[str, str]:
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"""扩展数据出站请求的默认标识头。
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默认携带 User-Agent: tsp/<版本> 与 X-TSP-Client: tick-stock-panel,
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供服务端 (如 tickflow-hub) 识别本项目的请求。用户在拉取配置里显式
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设置的同名头优先 (大小写不敏感), 不被标识头覆盖。
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"""
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from app import __version__
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defaults = {
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"User-Agent": f"tsp/{__version__}",
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"X-TSP-Client": "tick-stock-panel",
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}
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override = {k.lower() for k in (user_headers or {})}
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return {
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**{k: v for k, v in defaults.items() if k.lower() not in override},
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**(user_headers or {}),
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}
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def _in_time_window(start: str | None, end: str | None) -> bool:
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"""检查当前北京时间是否在每日时间窗口内。
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start/end 为 "HH:MM" 格式。两者都为 None 时不限制(返回 True)。
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支持跨午夜窗口(如 22:00-02:00)。
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用北京时间而不是本地时间: 这个窗口是照着 A 股交易时段设的, 而
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market_time 模块开篇就写明「服务器/容器本地时区不可靠 (python:slim
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镜像默认 UTC)」。UTC 容器里 9:30-15:00 的窗口实际落在北京 17:30-23:00,
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每天都在收盘之后。
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"""
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if not start or not end:
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return True
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now = cn_now().strftime("%H:%M")
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if start <= end:
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return start <= now < end
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# 跨午夜: 如 22:00-02:00
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return now >= start or now < end
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# ---------------------------------------------------------------------------
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# 响应解析
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# ---------------------------------------------------------------------------
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def _extract_rows(data: Any, path: str) -> list[dict]:
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"""按 dot-path 从 JSON 响应中提取行数组。
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例: path="data.list" → response["data"]["list"]
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如果 path 为空，直接将 data 视为数组。
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"""
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if not path:
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if isinstance(data, list):
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return data
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raise ValueError("response_path 为空但响应不是数组")
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keys = path.split(".")
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current = data
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for key in keys:
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if isinstance(current, dict):
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if key not in current:
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raise ValueError(f"响应中不存在路径 '{path}'，缺失键 '{key}'")
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current = current[key]
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elif isinstance(current, list):
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try:
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current = current[int(key)]
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except (ValueError, IndexError) as e:
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raise ValueError(f"响应路径 '{path}' 解析失败: {e}") from e
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else:
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raise ValueError(f"响应路径 '{path}' 中间值不是 dict/list: {type(current)}")
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if not isinstance(current, list):
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raise ValueError(f"路径 '{path}' 指向的不是数组，而是 {type(current)}")
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return current
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def _apply_field_map(rows: list[dict], field_map: dict[str, str]) -> list[dict]:
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"""将外部字段名映射为内部配置字段名。field_map: {外部名: 内部名}。"""
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if not field_map:
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return rows
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mapped = []
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for row in rows:
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new_row: dict = {}
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for k, v in row.items():
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mapped_key = field_map.get(k, k)
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new_row[mapped_key] = v
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mapped.append(new_row)
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return mapped
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# ---------------------------------------------------------------------------
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# 拉取执行
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# ---------------------------------------------------------------------------
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def _apply_preset_flatten(config_id: str, rows: list[dict]) -> list[dict]:
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"""对内置预设 (概念/行业) 应用结构转换, 与 fetch_preset 保持一致。
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延迟导入避免与 ext_presets 形成循环依赖。
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非预设 id 原样返回。
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"""
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if config_id not in ("ext_gn_ths", "ext_hy_ths"):
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return rows
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from app.services.ext_presets import _flatten_concept_rows, _flatten_industry_rows
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flatten = _flatten_concept_rows if config_id == "ext_gn_ths" else _flatten_industry_rows
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return flatten(rows)
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def _with_date_param(url: str, date_param: str | None, day: date) -> str:
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"""接口按日查询参数: ?{date_param}=YYYY-MM-DD (已有 query 用 &)。"""
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if not date_param:
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return url
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sep = "&" if "?" in url else "?"
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return f"{url}{sep}{date_param}={day.isoformat()}"
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def _apply_auth(config_id: str, auth: dict | None, url: str, headers: dict[str, str]) -> str:
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"""把 secrets_store 里的 API Key 注入出站请求。
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鉴权三型与自定义行情源 AuthConfig 同口径: bearer → {header: "Bearer <key>"},
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header → {header: <key>}, query → ?{param}=<key>。Key 只存 secrets.json,
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不落 config.json; 配置了鉴权但未设置 Key 时 fail-closed 直接报错,
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避免不带凭据请求被服务端记成无效调用。返回 (可能追加了参数的) url。
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"""
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from urllib.parse import quote
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from app.services.ext_data import get_ext_api_key
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auth_type = str((auth or {}).get("type") or "none").lower()
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if auth_type == "none":
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return url
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key = get_ext_api_key(config_id)
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if not key:
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raise ValueError(f"已配置 {auth_type} 鉴权但未设置 API Key, 请在拉取设置中填写")
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if auth_type == "bearer":
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headers[str(auth.get("header") or "Authorization")] = f"Bearer {key}"
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elif auth_type == "header":
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headers[str(auth.get("header") or "Authorization")] = key
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elif auth_type == "query":
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name = str(auth.get("param") or "token")
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sep = "&" if "?" in url else "?"
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url = f"{url}{sep}{name}={quote(key, safe='')}"
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else:
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raise ValueError(f"未知鉴权类型: {auth_type!r} (可选 none/bearer/header/query)")
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return url
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def _assert_rows_date(rows: list[dict], day: date) -> None:
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"""金融契约: 响应行的 date 字段 (若提供) 必须与请求日期一致。
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服务端忽略日期参数返回当日数据时会静默把当日值写进历史分区,
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造成整个时序口径错乱 —— 此处 fail-closed 拒绝 (实测确实有忽略
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?date= 的接口)。date 字段缺省的接口不做校验。
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"""
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want = day.isoformat()
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for r in rows[:20]:
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if not isinstance(r, dict):
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continue
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raw = r.get("date")
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if raw is None:
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continue
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if str(raw)[:10] != want:
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raise ValueError(
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f"接口返回的日期 {str(raw)[:10]!r} 与请求日期 {want} 不一致 "
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"(接口可能不支持日期参数), 已拒绝写入该分区"
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)
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async def _request_json(pull: PullConfig, config_id: str, day: date | None = None) -> Any:
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"""发起一次拉取请求并返回解析后的 JSON。
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正式拉取 (带日期参数) 与设置页"测试" (不带) 共用同一实现,
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保证 UA 标识头与 API Key 鉴权注入只有一套口径。
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"""
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url = _with_date_param(pull.url, pull.date_param, day) if day else pull.url
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async with httpx.AsyncClient(timeout=30) as client:
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headers = outbound_headers(pull.headers)
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url = _apply_auth(config_id, pull.auth, url, headers)
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kwargs: dict[str, Any] = {"headers": headers}
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if pull.method.upper() == "POST" and pull.body:
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kwargs["content"] = pull.body
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if "content-type" not in {k.lower() for k in headers}:
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kwargs["headers"]["Content-Type"] = "application/json"
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resp = await client.request(pull.method.upper(), url, **kwargs)
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resp.raise_for_status()
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try:
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return resp.json()
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except Exception as e:
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raise ValueError(f"响应不是有效 JSON: {e}") from e
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async def fetch_rows_for_date(config: ExtConfig, target_date: date) -> list[dict]:
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"""按日期请求外部 API 并解析为行 (不写盘)。空数据返回 []。
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与 fetch_and_ingest 共用同一解析链 (response_path/预设转换/字段映射/
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关联字段校验), 历史回补与当日拉取不产生第二套口径。
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"""
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pull = config.pull
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if not pull or not pull.url:
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raise ValueError("拉取未配置或 URL 为空")
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data = await _request_json(pull, config.id, day=target_date)
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# 提取行
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rows = _extract_rows(data, pull.response_path)
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# 内置预设 (概念/行业): 应用结构转换, 让产出 schema 与分析页一致。
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# 否则 raw 接口列 (concepts/industries 数组、name) 会直接覆盖正确的 part.parquet,
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# 导致分析页因找不到维度字段 (所属概念/所属同花顺行业) 而"数据消失"。
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# 见 ext_presets._flatten_* —— 手动拉取 / 定时拉取都必须走同一套转换。
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rows = _apply_preset_flatten(config.id, rows)
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# 字段映射
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rows = _apply_field_map(rows, pull.field_map)
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# 校验可关联标的的字段：直接 symbol/code，或配置里声明的映射源列。
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row_keys = set(rows[0]) if rows else set()
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mapped_cols = {
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m.get("col")
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for m in (config.symbol_map or {}, config.code_map or {})
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if m.get("type") == "mapped" and m.get("col")
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}
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if rows and not ({"symbol", "code"} & row_keys or mapped_cols & row_keys):
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raise ValueError("数据行中缺少 symbol/code 字段，请配置字段映射或标的映射")
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_assert_rows_date(rows, target_date)
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return rows
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async def fetch_and_ingest(
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config: ExtConfig,
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data_dir,
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target_date: date | None = None,
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*,
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keep_strategy_cache: bool = False,
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) -> tuple[int, str]:
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"""执行一次拉取: 请求外部 API → 解析响应 → 写入 Parquet。
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target_date 默认当日; 历史回补传入目标日期 (写入对应分区)。
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keep_strategy_cache=True 由定时拉取循环传入: 例行刷新不清策略结果缓存。
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Returns:
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(rows_written, date_str)
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"""
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# 同上: 落盘分区按北京日期, 否则 UTC 容器在北京时间 08:00 之前写的是前一天。
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day = target_date or cn_today()
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rows = await fetch_rows_for_date(config, day)
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if not rows:
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raise ValueError("提取到的行数为 0")
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n = rows_to_parquet(
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rows, config, data_dir, snapshot_date=day,
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keep_strategy_cache=keep_strategy_cache,
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)
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return n, day.isoformat()
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MAX_BACKFILL_DAYS = 120 # 单次回补上限: 同步端点, 控制请求时长
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_BACKFILL_DAY_INTERVAL_S = 0.3 # 相邻请求间隔 (对数据源限速)
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_BACKFILL_429_WAIT_S = 30.0 # 429 限流退避时长 (服务端按分钟配额)
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_BACKFILL_MAX_CONSECUTIVE_429 = 3 # 连续 429 天数达到阈值 → 中止本次回补
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_RATE_LIMIT_ABORT_REASON = "限流中止 (429), 稍后重跑回补可自动续补剩余日期"
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def _status_code(e: BaseException) -> int | None:
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"""从 httpx.HTTPStatusError 提取状态码; 非该类异常返回 None。"""
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resp = getattr(e, "response", None)
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return getattr(resp, "status_code", None)
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def _day_partition(data_dir, config_id: str, day: date) -> Path:
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return Path(data_dir) / "ext_data" / config_id / "timeseries" / f"date={day.isoformat()}" / "part.parquet"
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async def backfill_history(
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config: ExtConfig,
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data_dir,
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start: date,
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end: date,
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) -> dict:
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"""按本地交易日逐日回补 timeseries 历史分区 (幂等, 已有分区跳过)。
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前提: 接口支持按日期查询 (pull.date_param 已配置)。交易日取本地日K
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分区日期 —— 非交易日无人气数据, 也避免无谓请求。单日失败不中断,
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汇总进 failed 清单返回; 该日无数据 (空响应或 404) 计入 empty 跳过。
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"""
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if config.mode != "timeseries":
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raise ValueError("仅 timeseries 模式支持历史回补 (snapshot 无历史概念)")
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pull = config.pull
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if not pull or not pull.url:
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raise ValueError("拉取未配置或 URL 为空")
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if not pull.date_param:
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raise ValueError("接口未配置日期参数 (date_param) —— 需接口支持 ?日期参数= 历史查询")
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if start > end:
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raise ValueError("开始日期不能晚于结束日期")
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if (end - start).days + 1 > MAX_BACKFILL_DAYS:
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raise ValueError(f"单次回补上限 {MAX_BACKFILL_DAYS} 天, 请分段执行")
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from app.services.dragon_tiger import _local_trading_days
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days = [d for d in _local_trading_days(data_dir) if start <= d <= end]
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if not days:
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raise ValueError("范围内无本地交易日 (需先同步日K以确定交易日历)")
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fetched = skipped = empty = 0
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rows_written = 0
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failed: list[dict] = []
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consecutive_429 = 0 # 连续限流天数 (重试成功即清零); 达到阈值中止本次回补
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for i, d in enumerate(days):
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part = _day_partition(data_dir, config.id, d)
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if part.exists():
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skipped += 1
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continue
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try:
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rows = await fetch_rows_for_date(config, d)
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consecutive_429 = 0
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if not rows:
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empty += 1 # 该日无数据 (服务端未归档), 不是错误
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else:
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rows_written += rows_to_parquet(rows, config, data_dir, snapshot_date=d)
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fetched += 1
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except httpx.HTTPStatusError as e:
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if _status_code(e) == 404:
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# 接口契约 (tickflow-hub /exports、/fuyao-rank): 该日无快照
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# 返回 404 —— 视为该日无数据跳过, 不计入失败
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empty += 1
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elif _status_code(e) != 429:
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failed.append({"date": d.isoformat(), "reason": str(e)[:200]})
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else:
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# 服务端按分钟配额限流: 退避后原地重试一次; 连续多日 429
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# 说明配额窗口已耗尽, 中止剩余天数 (幂等, 重跑即可续补)。
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consecutive_429 += 1
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if consecutive_429 >= _BACKFILL_MAX_CONSECUTIVE_429:
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remaining = [dd for dd in days[i:] if not _day_partition(data_dir, config.id, dd).exists()]
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failed.extend({"date": dd.isoformat(), "reason": _RATE_LIMIT_ABORT_REASON}
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for dd in remaining)
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break
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await asyncio.sleep(_BACKFILL_429_WAIT_S)
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try:
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rows = await fetch_rows_for_date(config, d)
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consecutive_429 = 0
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if not rows:
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empty += 1
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else:
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rows_written += rows_to_parquet(rows, config, data_dir, snapshot_date=d)
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fetched += 1
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except Exception as e2:
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if _status_code(e2) == 404: # 退避重试后无该日快照 → 同样视为无数据
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empty += 1
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else:
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failed.append({"date": d.isoformat(), "reason": str(e2)[:200]})
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except Exception as e:
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failed.append({"date": d.isoformat(), "reason": str(e)[:200]})
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if i + 1 < len(days):
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await asyncio.sleep(_BACKFILL_DAY_INTERVAL_S) # 限速, 对数据源礼貌
|
|
return {
|
|
"total_days": len(days),
|
|
"fetched": fetched,
|
|
"skipped_existing": skipped,
|
|
"empty": empty,
|
|
"failed": failed,
|
|
"rows_written": rows_written,
|
|
}
|
|
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# 调度器
|
|
# ---------------------------------------------------------------------------
|
|
|
|
class PullScheduler:
|
|
"""后台调度器：为每个启用了 pull 的 ExtConfig 维护定时任务。
|
|
|
|
线程安全说明:
|
|
refresh()/stop() 可能从主事件循环 (lifespan startup) 或同步路由的
|
|
worker 线程 (configure_pull 是 def 而非 async def, FastAPI 丢进线程池)
|
|
调用。worker 线程里没有 running loop, 直接 asyncio.create_task 会抛
|
|
"no running event loop"。因此对 task 的增删一律通过
|
|
call_soon_threadsafe 提交到主循环执行 —— 同一套代码两种调用场景都安全。
|
|
"""
|
|
|
|
def __init__(self) -> None:
|
|
self._tasks: dict[str, asyncio.Task] = {}
|
|
self._running = False
|
|
self._loop: asyncio.AbstractEventLoop | None = None
|
|
|
|
def start(self, data_dir) -> None:
|
|
"""启动调度（在 lifespan startup 调用，主事件循环内）。"""
|
|
self._running = True
|
|
self._data_dir = data_dir
|
|
try:
|
|
self._loop = asyncio.get_running_loop()
|
|
except RuntimeError:
|
|
self._loop = None
|
|
logger.info("PullScheduler started")
|
|
|
|
def _submit(self, fn, *args) -> None:
|
|
"""把一个 callable 提交到主事件循环执行 (线程安全)。
|
|
|
|
startup 在主循环内调用时 fn 立即排队; worker 线程调用时跨线程排队。
|
|
两者都通过 call_soon_threadsafe, 保证 _tasks 字典的读写只在主循环里发生。
|
|
"""
|
|
loop = self._loop
|
|
if loop is None or loop.is_closed():
|
|
raise RuntimeError(
|
|
"PullScheduler: 事件循环不可用 (start() 未在事件循环中调用?)"
|
|
)
|
|
loop.call_soon_threadsafe(fn, *args)
|
|
|
|
def stop(self) -> None:
|
|
"""停止所有任务 (从 shutdown 调用)。"""
|
|
self._running = False
|
|
for task in self._tasks.values():
|
|
task.cancel()
|
|
self._tasks.clear()
|
|
logger.info("PullScheduler stopped")
|
|
|
|
def refresh(self, data_dir) -> None:
|
|
"""重新加载配置，更新调度任务（增/删/改）。线程安全。"""
|
|
self._data_dir = data_dir
|
|
store = ExtConfigStore(data_dir)
|
|
configs = store.load_all()
|
|
|
|
active_ids: set[str] = set()
|
|
enabled_configs: list[ExtConfig] = []
|
|
|
|
for config in configs:
|
|
if not config.pull or not config.pull.enabled or not config.pull.url:
|
|
continue
|
|
active_ids.add(config.id)
|
|
enabled_configs.append(config)
|
|
|
|
# 对 _tasks 的一切读判断 (含增删 diff) 都放进主循环闭包里执行:
|
|
# refresh 可能从工作线程调用, 若在调用方线程读 _tasks 再把决策
|
|
# 提交回主循环, 两步之间主循环可能已改动字典 (TOCTOU, #203)。
|
|
# 此处只携带与 _tasks 无关的 config 数据跨线程。
|
|
def _apply() -> None:
|
|
for config in enabled_configs:
|
|
if config.id not in self._tasks:
|
|
self._tasks[config.id] = self._loop.create_task(
|
|
self._run_loop(config)
|
|
)
|
|
logger.info(
|
|
"PullScheduler: scheduled %s (every %d min)",
|
|
config.id, config.pull.schedule_minutes,
|
|
)
|
|
for cid in [c for c in self._tasks if c not in active_ids]:
|
|
task = self._tasks.pop(cid)
|
|
task.cancel()
|
|
logger.info("PullScheduler: removed %s", cid)
|
|
|
|
self._submit(_apply)
|
|
|
|
async def _run_loop(self, config: ExtConfig) -> None:
|
|
"""单个配置的定时拉取循环。
|
|
|
|
策略: 启用后立即执行一次, 之后按 interval 循环。
|
|
每次循环重读最新配置 (fresh), interval 取自 fresh.pull.schedule_minutes,
|
|
这样用户中途修改间隔也能立即生效 (无需重启)。
|
|
"""
|
|
try:
|
|
while self._running:
|
|
# 每轮重读最新配置 — 用户可能修改了 url / interval / enabled
|
|
store = ExtConfigStore(self._data_dir)
|
|
fresh = store.get(config.id)
|
|
if not fresh or not fresh.pull or not fresh.pull.enabled:
|
|
break
|
|
pull = fresh.pull
|
|
|
|
# 时间窗口检查: 不在窗口内则跳过本次拉取
|
|
if not _in_time_window(pull.time_window_start, pull.time_window_end):
|
|
fresh.pull.last_run = datetime.now(timezone.utc).isoformat()
|
|
fresh.pull.last_status = "skipped"
|
|
fresh.pull.last_message = "不在拉取时间窗口内"
|
|
store.upsert(fresh)
|
|
logger.info("PullScheduler: %s skipped (outside time window)", config.id)
|
|
interval = max(pull.schedule_minutes * 60, 60)
|
|
await asyncio.sleep(interval)
|
|
continue
|
|
|
|
# 先执行一次 (启用即拉取, 让用户立刻看到生效)
|
|
try:
|
|
# 例行定时刷新: 不清策略结果缓存 (见 invalidate_ext_caches),
|
|
# 否则策略页每轮拉取后整页空白, 直到下次全量重算完成。
|
|
n, d = await fetch_and_ingest(
|
|
fresh, self._data_dir, keep_strategy_cache=True
|
|
)
|
|
fresh.pull.last_run = datetime.now(timezone.utc).isoformat()
|
|
fresh.pull.last_status = "success"
|
|
fresh.pull.last_message = f"{n} rows @ {d}"
|
|
fresh.pull.last_rows = n
|
|
store.upsert(fresh)
|
|
logger.info("PullScheduler: %s success, %d rows", config.id, n)
|
|
except Exception as e:
|
|
fresh2 = store.get(config.id)
|
|
if fresh2 and fresh2.pull:
|
|
fresh2.pull.last_run = datetime.now(timezone.utc).isoformat()
|
|
fresh2.pull.last_status = "error"
|
|
fresh2.pull.last_message = str(e)[:200]
|
|
store.upsert(fresh2)
|
|
logger.warning("PullScheduler: %s error: %s", config.id, e)
|
|
|
|
# 间隔取自最新配置 (每次重新读取, 修复改间隔不生效)
|
|
interval = max(pull.schedule_minutes * 60, 60) # 至少 60s
|
|
# 预告下次运行时间, 供前端展示
|
|
next_dt = datetime.now(UTC).timestamp() + interval
|
|
latest = store.get(config.id)
|
|
if latest and latest.pull:
|
|
latest.pull.next_run = datetime.fromtimestamp(
|
|
next_dt, tz=UTC
|
|
).isoformat()
|
|
store.upsert(latest)
|
|
|
|
await asyncio.sleep(interval)
|
|
if not self._running:
|
|
break
|
|
except asyncio.CancelledError:
|
|
pass
|
|
|
|
|
|
# 全局单例
|
|
pull_scheduler = PullScheduler()
|