feat(backend): Phase 1 数据层 — Domain / Provider / Failover 审计 + 持久化 + 同步 CLI

- domain:市场数据实体(Stock / 交易日历 / 日线 / 复权 / 财务含 announce_date)+ Repository 与 MarketDataProvider Protocol
- 数据源:TushareProvider(归一化、重试、鉴权错误归类)、SinaProvider(备用,明确前复权口径与能力边界)、FailoverProvider + SyncLog 审计(禁止静默切换)
- 持久化:SQLAlchemy 2.x Models + Repository 实现(按业务键幂等 upsert、as_of_date 防未来函数过滤)+ Alembic 迁移
- CLI:uv run python -m app.cli.sync {basic|calendar|daily|financial|verify},支持 --resume 断点续传
- 真实 Tushare 验证:stock 5556 / 交易日历 366 / daily+factor 242 / 财务 55;sync_log 审计完整
- 测试:38 passed(domain / provider / failover / repository / 未来函数 / 迁移),ruff clean
This commit is contained in:
Simon
2026-09-06 16:59:28 +08:00
parent 7a89d97c0b
commit 2da234220a
23 changed files with 2666 additions and 1 deletions
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"""数据源基础设施:MarketDataProvider 的具体实现与 Failover。
业务层不直接 import 本目录(AGENT.md §5/§6)——统一经
MarketDataProvider(domain.providers)注入;唯一例外是组装处的依赖装配。
"""
from __future__ import annotations
@@ -0,0 +1,13 @@
"""数据源异常类型。"""
class DataSourceError(Exception):
"""数据源通用失败(网络、限频、解析等)。"""
class DataSourceAuthenticationError(DataSourceError):
"""凭证无效 / 权限不足(如 Tushare token 无该接口权限)。"""
class DataSourceNotSupported(DataSourceError):
"""该数据源不提供此能力(如新浪无复权因子),用于 Failover 判定。"""
@@ -0,0 +1,179 @@
"""Tushare → Sina Failover 包装(AGENT.md §7)。
规则:
- 优先 primary;primary 抛错时才尝试 fallback(避免对空结果做无谓兜底请求)
- fallback 不支持该 API(DataSourceNotSupported)或自身失败 → 抛 DataSourceError
- 每次尝试都写 SyncLog(source / 成功与否 / 行数 / 区间),禁止静默切换
"""
from __future__ import annotations
from collections.abc import Callable
from datetime import date
from typing import Any
from app.domain.entities.market import SyncLog
from app.domain.providers import MarketDataProvider
from app.infrastructure.data_sources.errors import DataSourceError, DataSourceNotSupported
class FailoverProvider:
"""以 primary 为主、fallback 为辅的 MarketDataProvider 实现。"""
name = "failover"
def __init__(
self,
primary: MarketDataProvider,
fallback: MarketDataProvider | None = None,
*,
audit: Callable[[SyncLog], None] | None = None,
) -> None:
self.primary = primary
self.fallback = fallback
self._audit = audit or (lambda _log: None)
# ---- 各 API 代理 ----
def get_stock_basic(self) -> list:
return self._with_failover(
"get_stock_basic",
primary_call=lambda: self.primary.get_stock_basic(),
fallback_call=lambda: self.fallback.get_stock_basic(),
)
def get_trade_cal(self, start: date, end: date) -> list:
return self._with_failover(
"get_trade_cal",
start=start,
end=end,
primary_call=lambda: self.primary.get_trade_cal(start, end),
fallback_call=lambda: self.fallback.get_trade_cal(start, end),
)
def get_daily(self, symbol: str, start: date, end: date) -> list:
return self._with_failover(
"get_daily",
start=start,
end=end,
primary_call=lambda: self.primary.get_daily(symbol, start, end),
fallback_call=lambda: self.fallback.get_daily(symbol, start, end),
)
def get_adjust_factor(self, symbol: str, start: date, end: date) -> list:
return self._with_failover(
"get_adjust_factor",
start=start,
end=end,
primary_call=lambda: self.primary.get_adjust_factor(symbol, start, end),
fallback_call=lambda: self.fallback.get_adjust_factor(symbol, start, end),
)
def get_financial(self, symbol: str) -> list:
return self._with_failover(
"get_financial",
primary_call=lambda: self.primary.get_financial(symbol),
fallback_call=lambda: self.fallback.get_financial(symbol),
)
# ---- 内部 ----
def _with_failover(
self,
api: str,
*,
primary_call: Callable[[], list],
fallback_call: Callable[[], list] | None = None,
start: date | None = None,
end: date | None = None,
) -> list:
try:
rows = primary_call()
except Exception as exc: # noqa: BLE001 —— 统一走审计
self._log(
source=self.primary.name,
api=api,
success=False,
reason=str(exc),
start=start,
end=end,
)
return self._try_fallback(api, fallback_call, start=start, end=end, primary_error=exc)
self._log(
source=self.primary.name,
api=api,
success=True,
row_count=_len(rows),
start=start,
end=end,
)
return rows
def _try_fallback(self, api, fallback_call, *, start, end, primary_error):
if fallback_call is None or self.fallback is None:
raise DataSourceError(
f"{self.primary.name}.{api} 失败且无备用源: {primary_error}"
) from primary_error
try:
rows = fallback_call()
except DataSourceNotSupported as exc:
self._log(
source=self.fallback.name,
api=api,
success=False,
reason=f"不支持: {exc}",
start=start,
end=end,
)
raise DataSourceError(
f"{self.primary.name}.{api} 失败,备用源不支持: {primary_error}"
) from primary_error
except Exception as exc: # noqa: BLE001
self._log(
source=self.fallback.name,
api=api,
success=False,
reason=str(exc),
start=start,
end=end,
)
raise DataSourceError(
f"主备数据源均失败: primary[{self.primary.name}]={primary_error} "
f"fallback[{self.fallback.name}]={exc}"
) from exc
self._log(
source=self.fallback.name,
api=api,
success=True,
row_count=_len(rows),
start=start,
end=end,
)
return rows
def _log(
self,
*,
source: str,
api: str,
success: bool,
reason: str | None = None,
row_count: int = 0,
start: date | None = None,
end: date | None = None,
) -> None:
self._audit(
SyncLog(
source=source,
api=api,
success=success,
failure_reason=reason,
row_count=row_count,
data_start=start,
data_end=end,
)
)
def _len(rows: Any) -> int:
return len(rows) if rows is not None else 0
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"""新浪财经 Provider —— 备用数据源。
能力边界(AGENT.md §5.2):
- 新浪日 K 接口返回**前复权**数据,口径与 Tushare 不复权不同,
因此本 Provider 只用于「缺失/不可用时的行情参考与交叉验证」,
不得把结果直接并入不复权主时序库(禁止静默混口径)。
- 新浪不提供复权因子 / 财务指标 → 相应方法抛 DataSourceNotSupported。
"""
from __future__ import annotations
import json
import re
import urllib.parse
import urllib.request
from datetime import date, datetime
from decimal import Decimal
from typing import Any
from app.domain.entities.market import DailyBar
from app.infrastructure.data_sources.errors import (
DataSourceError,
DataSourceNotSupported,
)
_KLINE_JSONP = (
"https://quotes.sina.cn/cn/api/jsonp_v2.php/var%20data=/CN_MarketDataService"
".getKLineData?symbol={sina_symbol}&scale=240&ma=no&datalen={datalen}"
)
def _to_sina_symbol(symbol: str) -> str:
"""600519.SH -> sh600519;000001.SZ -> sz000001。"""
code, _, suffix = symbol.partition(".")
prefix = {"SH": "sh", "SZ": "sz", "BJ": "bj"}.get(suffix.upper(), "sh")
return f"{prefix}{code}"
def _extract_jsonp(payload: str) -> list[dict[str, Any]]:
match = re.search(r"=\s*(\[.*\])\s*$", payload.strip(), flags=re.DOTALL)
if not match:
raise DataSourceError("新浪行情返回格式无法解析")
return json.loads(match.group(1))
class SinaProvider:
"""新浪财经备用数据源(仅日线参考 / 交叉验证)。"""
name = "sina"
def __init__(self, *, timeout: float = 10.0, urlopen=urllib.request.urlopen) -> None:
self._timeout = timeout
self._urlopen = urlopen
def get_daily(self, symbol: str, start: date, end: date, datalen: int = 320) -> list[DailyBar]:
"""拉取前复权日 K(新浪仅支持最近 datalen 个自然日窗口)。"""
url = _KLINE_JSONP.format(sina_symbol=_to_sina_symbol(symbol), datalen=datalen)
try:
with self._urlopen(url, timeout=self._timeout) as resp:
payload = resp.read().decode("utf-8", errors="replace")
except Exception as exc: # noqa: BLE001
raise DataSourceError(f"sina 请求失败: {exc}") from exc
bars: list[DailyBar] = []
for rec in _extract_jsonp(payload):
day = datetime.strptime(rec["day"], "%Y-%m-%d").date()
if day < start or day > end:
continue
bars.append(
DailyBar(
symbol=symbol,
trade_date=day,
open=_d(rec.get("open")),
high=_d(rec.get("high")),
low=_d(rec.get("low")),
close=_d(rec.get("close")),
volume=_d(rec.get("volume")),
)
)
return bars
def get_stock_basic(self):
raise DataSourceNotSupported("新浪不提供股票基础信息列表")
def get_trade_cal(self, start, end):
raise DataSourceNotSupported("新浪不提供交易日历")
def get_adjust_factor(self, symbol, start, end):
raise DataSourceNotSupported("新浪不提供复权因子(返回数据为前复权口径)")
def get_financial(self, symbol):
raise DataSourceNotSupported("新浪不提供财务指标")
def _d(value) -> Decimal | None:
if value is None:
return None
try:
return Decimal(str(value))
except (ValueError, TypeError):
return None
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"""Tushare Provider —— 首选数据源实现。
依赖注入:pro 客户端(tushare.pro.client 或测试 Fake)。真实运行时惰性加载
tushare 库(pyproject optional:uv sync --extra datasource-tushare)。
归一化函数只依赖 list[dict],便于无 pandas 环境下单测。
"""
from __future__ import annotations
import importlib
from datetime import date, datetime
from decimal import Decimal
from typing import Any
from app.domain.entities.market import (
AdjustFactor,
DailyBar,
FinancialIndicator,
Stock,
TradingCalendar,
)
from app.infrastructure.data_sources.errors import (
DataSourceAuthenticationError,
DataSourceError,
)
_TS_DATE = "%Y%m%d"
def _to_date(value: str | None) -> date | None:
if value is None or value == "":
return None
return datetime.strptime(str(value)[:10], _TS_DATE).date()
def _to_decimal(value) -> Decimal | None:
if value is None:
return None
try:
num = float(value)
except (ValueError, TypeError):
return None
if num != num: # NaN
return None
return Decimal(str(num))
class TushareProvider:
"""封装 Tushare Pro(ts.pro_api)。所有输出已归一化为领域实体。"""
name = "tushare"
def __init__(
self,
token: str = "",
*,
pro: object | None = None,
max_retries: int = 3,
) -> None:
self._pro = pro if pro is not None else _build_pro(token)
self._max_retries = max_retries
# ---- 归一化(纯函数,输入 list[dict],可单测) ----
@staticmethod
def normalize_stock(records: list[dict[str, Any]]) -> list[Stock]:
stocks: list[Stock] = []
for rec in records:
stocks.append(
Stock(
symbol=str(rec.get("ts_code") or rec.get("symbol") or ""),
name=str(rec.get("name") or ""),
industry=rec.get("industry"),
area=rec.get("area"),
market=rec.get("market"),
exchange=rec.get("exchange"),
list_date=_to_date(rec.get("list_date")) or date.min,
delist_date=_to_date(rec.get("delist_date")),
status=str(rec.get("status") or "L"),
)
)
return stocks
@staticmethod
def normalize_calendar(records: list[dict[str, Any]]) -> list[TradingCalendar]:
return [
TradingCalendar(
calendar_date=_to_date(rec.get("cal_date")) or date.min,
is_open=bool(rec.get("is_open")),
)
for rec in records
]
@staticmethod
def normalize_daily(records: list[dict[str, Any]]) -> list[DailyBar]:
bars: list[DailyBar] = []
for rec in records:
vol = _to_decimal(rec.get("vol"))
amount = _to_decimal(rec.get("amount"))
bars.append(
DailyBar(
symbol=str(rec.get("ts_code") or ""),
trade_date=_to_date(rec.get("trade_date")) or date.min,
open=_to_decimal(rec.get("open")),
high=_to_decimal(rec.get("high")),
low=_to_decimal(rec.get("low")),
close=_to_decimal(rec.get("close")),
volume=vol * 100 if vol is not None else None,
amount=amount * 1000 if amount is not None else None,
)
)
return bars
@staticmethod
def normalize_adj_factor(records: list[dict[str, Any]]) -> list[AdjustFactor]:
return [
AdjustFactor(
symbol=str(rec.get("ts_code") or ""),
trade_date=_to_date(rec.get("trade_date")) or date.min,
factor=_to_decimal(rec.get("adj_factor")) or Decimal(1),
)
for rec in records
]
@staticmethod
def normalize_financial(records: list[dict[str, Any]]) -> list[FinancialIndicator]:
rows: list[FinancialIndicator] = []
for rec in records:
rows.append(
FinancialIndicator(
symbol=str(rec.get("ts_code") or ""),
report_date=_to_date(rec.get("end_date")) or date.min,
announce_date=_to_date(rec.get("ann_date")) or date.min,
eps=_to_decimal(rec.get("eps")),
roe=_to_decimal(rec.get("roe")),
net_profit=_to_decimal(rec.get("n_income_attr_p")),
gross_margin=_to_decimal(rec.get("grossprofit_margin")),
)
)
return rows
# ---- 接口调用 ----
def get_stock_basic(self) -> list[Stock]:
records = self._call(
"stock_basic",
fields="ts_code,symbol,name,area,industry,market,exchange,list_date,delist_date,status",
)
return self.normalize_stock(records)
def get_trade_cal(self, start: date, end: date) -> list[TradingCalendar]:
records = self._call(
"trade_cal",
exchange="SSE",
start_date=start.strftime(_TS_DATE),
end_date=end.strftime(_TS_DATE),
is_open="",
)
return self.normalize_calendar(records)
def get_daily(self, symbol: str, start: date, end: date) -> list[DailyBar]:
records = self._call(
"daily",
ts_code=symbol,
start_date=start.strftime(_TS_DATE),
end_date=end.strftime(_TS_DATE),
)
return self.normalize_daily(records)
def get_adjust_factor(self, symbol: str, start: date, end: date) -> list[AdjustFactor]:
records = self._call(
"adj_factor",
ts_code=symbol,
start_date=start.strftime(_TS_DATE),
end_date=end.strftime(_TS_DATE),
)
return self.normalize_adj_factor(records)
def get_financial(self, symbol: str) -> list[FinancialIndicator]:
records = self._call("fina_indicator", ts_code=symbol)
return self.normalize_financial(records)
# ---- 内部 ----
def _call(self, api: str, **kwargs) -> list[dict[str, Any]]:
last_error: Exception | None = None
for _ in range(self._max_retries):
try:
fn = getattr(self._pro, api)
result = fn(**kwargs)
if result is None:
return []
if hasattr(result, "to_dict"):
return result.to_dict("records")
if isinstance(result, list):
return result
return []
except Exception as exc: # noqa: BLE001 —— tushare 异常无统一类型,逐一归类
last_error = exc
msg = str(exc)
if "权限" in msg or "积分" in msg or "token" in msg.lower():
raise DataSourceAuthenticationError(msg) from exc
raise DataSourceError(
f"tushare.{api} 重试 {self._max_retries} 次仍失败: {last_error}"
) from last_error
def _build_pro(token: str):
if not token:
raise DataSourceAuthenticationError(
"缺少 TUSHARE_TOKEN:请 cp .env.example .env 并填入 Tushare Pro token"
)
try:
ts = importlib.import_module("tushare")
except ImportError as exc: # pragma: no cover —— 环境相关
raise DataSourceError(
"未安装 tushare 客户端:cd backend && uv sync --extra datasource-tushare"
) from exc
return ts.pro_api(token)