feat(HEL-402): 接通网站首批只读 datahub 并建立双路对比

默认全部读取/影子开关关闭,网站继续走旧 Tushare 链路;开启单项时只替换该类原料并在失败时回旧,问天保持旧路径。

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: multica-agent <github@multica.ai>
This commit is contained in:
总工
2026-09-02 17:09:28 +08:00
co-authored by Cursor multica-agent
parent f5dc0f8076
commit 0d13066386
19 changed files with 1412 additions and 1 deletions
+120
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from __future__ import annotations
import json
import os
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Mapping
from backend.bootstrap.config import APP_DIR
DATASETS = (
"calendar",
"stocks",
"daily",
"index_daily",
"valuation",
"moneyflow",
"auction",
"status",
)
ENV_DATASET = {
"calendar": "CALENDAR",
"stocks": "STOCKS",
"daily": "DAILY",
"index_daily": "INDEX_DAILY",
"valuation": "VALUATION",
"moneyflow": "MONEYFLOW",
"auction": "AUCTION",
"status": "STATUS",
}
DEFAULT_CONFIG_PATH = APP_DIR / "config" / "datahub.config.json"
def _truthy(value: Any) -> bool:
return str(value or "").strip().lower() in {"1", "true", "yes", "on"}
def _int(value: Any, default: int) -> int:
try:
return int(value)
except (TypeError, ValueError):
return default
@dataclass(frozen=True)
class DatasetFlags:
name: str
read: bool = False
shadow: bool = False
@dataclass(frozen=True)
class DatahubSettings:
base_url: str
token: str
timeout_seconds: int = 8
retries: int = 1
page_limit: int = 5000
stale_seconds_max: int = 86400
datasets: dict[str, DatasetFlags] | None = None
def flags(self, dataset: str) -> DatasetFlags:
mapped = self.datasets or {}
return mapped.get(dataset) or DatasetFlags(dataset)
def any_enabled(self) -> bool:
return any(item.read or item.shadow for item in (self.datasets or {}).values())
def secrets(self) -> tuple[str, ...]:
return tuple(item for item in (self.token,) if item)
@classmethod
def load(
cls,
path: Path | None = None,
environ: Mapping[str, str] | None = None,
credentials: Mapping[str, object] | None = None,
) -> "DatahubSettings":
config_path = path or DEFAULT_CONFIG_PATH
payload: dict[str, Any] = {}
if config_path.is_file():
payload = json.loads(config_path.read_text(encoding="utf-8"))
env = dict(os.environ if environ is None else environ)
creds = dict(credentials or {})
dataset_flags: dict[str, DatasetFlags] = {}
raw_datasets = payload.get("datasets") or {}
for name in DATASETS:
item = raw_datasets.get(name) or {}
env_key = ENV_DATASET[name]
read = _truthy(env.get(f"DATAHUB_READ_{env_key}")) if f"DATAHUB_READ_{env_key}" in env else bool(item.get("read"))
shadow = (
_truthy(env.get(f"DATAHUB_SHADOW_{env_key}"))
if f"DATAHUB_SHADOW_{env_key}" in env
else bool(item.get("shadow"))
)
dataset_flags[name] = DatasetFlags(name, read=read, shadow=shadow)
token = str(
env.get("DATAHUB_TOKEN")
or creds.get("datahub_token")
or payload.get("token")
or ""
).strip()
base_url = str(
env.get("DATAHUB_BASE_URL")
or creds.get("datahub_base_url")
or payload.get("base_url")
or "http://127.0.0.1:8766"
).strip().rstrip("/")
return cls(
base_url=base_url,
token=token,
timeout_seconds=_int(env.get("DATAHUB_TIMEOUT") or payload.get("timeout_seconds"), 8),
retries=max(0, _int(env.get("DATAHUB_RETRIES") or payload.get("retries"), 1)),
page_limit=max(1, _int(payload.get("page_limit"), 5000)),
stale_seconds_max=max(0, _int(payload.get("stale_seconds_max"), 86400)),
datasets=dataset_flags,
)