项目目录从 refer 迁移到 local

Co-Authored-By: Claude <noreply@anthropic.com>
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2026-07-04 16:32:48 +08:00
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"""TickFlow 适配层 — 能力探测 / 调度 / Repository。"""
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"""Capability 定义(§5.1)。
业务代码只依赖 CapabilitySet,不读 tiers.yaml,不感知"档位"
"""
from __future__ import annotations
from dataclasses import dataclass
from enum import StrEnum
class Cap(StrEnum):
"""所有 capability 的命名常量。新增能力时只在这里加一行。"""
QUOTE_BY_SYMBOL = "quote.by_symbol"
QUOTE_BATCH = "quote.batch"
QUOTE_POOL = "quote.pool"
KLINE_DAILY_BY_SYMBOL = "kline.daily.by_symbol"
KLINE_DAILY_BATCH = "kline.daily.batch"
KLINE_MINUTE_BY_SYMBOL = "kline.minute.by_symbol"
KLINE_MINUTE_BATCH = "kline.minute.batch"
INTRADAY = "intraday"
INTRADAY_BATCH = "intraday.batch"
DEPTH5 = "depth5"
DEPTH5_BATCH = "depth5.batch"
WEBSOCKET = "websocket"
FINANCIAL = "financial"
ADJ_FACTOR = "adj_factor"
@dataclass(slots=True, frozen=True)
class CapabilityLimits:
"""单个 capability 的运行时限制。"""
rpm: int | None = None # 次/分钟,None 表示未知或不限
batch: int | None = None # 标的/次
subscribe: int | None = None # WS 订阅上限
class CapabilitySet:
"""探测得到的"用户当前可用能力"。业务代码的唯一真理源。"""
def __init__(self, caps: dict[Cap, CapabilityLimits] | None = None) -> None:
self._caps: dict[Cap, CapabilityLimits] = dict(caps or {})
def has(self, cap: Cap) -> bool:
return cap in self._caps
def limits(self, cap: Cap) -> CapabilityLimits | None:
return self._caps.get(cap)
def require(self, cap: Cap) -> CapabilityLimits:
"""断言可用,否则抛 CapabilityDenied。"""
if cap not in self._caps:
raise CapabilityDenied(cap)
return self._caps[cap]
def all(self) -> dict[Cap, CapabilityLimits]:
return dict(self._caps)
def to_dict(self) -> dict[str, dict]:
return {
str(cap): {
"rpm": lim.rpm,
"batch": lim.batch,
"subscribe": lim.subscribe,
}
for cap, lim in self._caps.items()
}
class CapabilityDenied(Exception):
"""请求的 capability 当前不可用。"""
def __init__(self, cap: Cap, suggestion: str | None = None) -> None:
self.cap = cap
self.suggestion = suggestion or f"加购『{cap}』能力可解锁"
super().__init__(f"capability not available: {cap}; {self.suggestion}")
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"""TickFlow SDK 封装(§5)。
进程内单例;Key 来源(优先级):secrets.json > .env。
用户改 Key 后需要 `reset_clients()`,然后 `get_client()` 会拿新的。
5 档体系下服务器归属:
- none 档(无 key / 无效 key) → TickFlow.free()(free-api 服务器)
- free 档(免费有效 key) → TickFlow.free()(key 被 SDK 忽略,运行时走 free-api)
- starter/pro/expert(付费 key) → TickFlow(api_key=key, base_url)
"""
from __future__ import annotations
import os
from tickflow import AsyncTickFlow, TickFlow
from app import secrets_store
_sync_client: TickFlow | None = None
_async_client: AsyncTickFlow | None = None
_paid_realtime_client: TickFlow | None = None
# ===== 服务器归属判定 =====
# free-api 服务器默认节点(SDK 默认值),none/free 档运行时走这里。
FREE_ENDPOINT = "https://free-api.tickflow.org"
# 付费端点默认节点(starter+ 运行时走这里,也是端点切换的默认值)。
PAID_ENDPOINT = "https://api.tickflow.org"
def _should_use_free_server() -> bool:
"""是否应走 free-api 服务器。
判定依据:无 key,或当前档位为 none/free。
付费档(starter+)走付费端点。
"""
if not secrets_store.get_tickflow_key():
return True
# 有 key 时按探测出的档位判定(避免读 capabilities.json 在首次启动前未生成的边界)
from app.tickflow.policy import base_tier_name
return base_tier_name() in ("none", "free")
def _base_url() -> str | None:
"""从 secrets.json 读取用户自定义端点,没有则返回 None(用 SDK 默认)。"""
return secrets_store.load().get("tickflow_base_url") or None
def get_client() -> TickFlow:
"""同步客户端。能力探测、盘后管道用。"""
global _sync_client
if _sync_client is None:
key = secrets_store.get_tickflow_key()
if _should_use_free_server():
# none/free 档:走 free-api 服务器(无 key 或免费 key 被 SDK 忽略)
_sync_client = TickFlow.free()
else:
_sync_client = TickFlow(api_key=key, base_url=_base_url())
return _sync_client
def get_async_client() -> AsyncTickFlow:
"""异步客户端。FastAPI 请求路径上用。"""
global _async_client
if _async_client is None:
key = secrets_store.get_tickflow_key()
if _should_use_free_server():
_async_client = AsyncTickFlow.free()
else:
_async_client = AsyncTickFlow(api_key=key, base_url=_base_url())
return _async_client
def get_paid_realtime_client() -> TickFlow | None:
"""实时行情专用付费服务器客户端。
none/free 的历史日K仍走 get_client() 的 free-api;实时行情全部走付费服务器。
Free 档如果有有效 key,也使用这里的 paid endpoint 调按标的实时接口。
"""
global _paid_realtime_client
key = secrets_store.get_tickflow_key()
if not key:
return None
if _paid_realtime_client is None:
_paid_realtime_client = TickFlow(api_key=key, base_url=_base_url())
return _paid_realtime_client
def reset_clients() -> None:
"""Key 变化后调用 — 让下一次 get_client() 拿新实例。"""
global _sync_client, _async_client, _paid_realtime_client
_sync_client = None
_async_client = None
_paid_realtime_client = None
def current_mode() -> str:
"""供 UI 显示当前模式。三态:
- "none" : 无 key / 无效 key(走 free-api,仅历史日K)
- "free" : 免费有效 key(走 free-api,仅历史日K)
- "api_key" : 付费 key(starter+,走付费端点,有实时行情)
"""
if not secrets_store.get_tickflow_key():
return "none"
from app.tickflow.policy import base_tier_name
tier = base_tier_name()
if tier in ("none", "free"):
return "free" if tier == "free" else "none"
return "api_key"
def current_endpoint() -> str:
"""返回当前显示用的端点 URL(对应 endpoints.json 列表项)。
- none/free 档:显示 free-api 服务器节点
- 付费档:显示用户自定义端点(测速切换后)或默认付费节点 api.tickflow.org
"""
if _should_use_free_server():
return FREE_ENDPOINT
# 自定义端点(付费模式测速切换后):优先返回
base = _base_url()
if base:
return base.rstrip("/")
return PAID_ENDPOINT
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"""能力探测 + CapabilitySet 持久化(§5.3)。
探测策略:逐 capability 用最小代价请求试探。
- 成功 → 记录可用,优先取响应头 X-RateLimit-* 否则用 tiers.yaml 默认
- 抛权限错 → 不可用
- 抛其他错 → 不可用(谨慎,保留日志)
Tier Label 算法见 §5.3:基线档 + 补丁能力。
"""
from __future__ import annotations
import json
import logging
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Any
import yaml
from app.config import settings
from app import secrets_store
from .capabilities import Cap, CapabilityLimits, CapabilitySet
logger = logging.getLogger(__name__)
_CAPSET_CACHE_FILE = "capabilities.json"
# 缓存 schema 版本。capabilities 模型有结构性变更时 bump(如新增/拆分 Cap),
# 旧缓存(无此字段或版本更低)会被判定过期,触发重新探测。
# v2: 拆分 depth5 → depth5(单只) + depth5.batch(批量)
# v3: 探测补全 quote.batch(此前 tiers.yaml 声明了但 _probe_real 漏探测)
# v5: Free 档补充付费服务器 quote.by_symbol(10rpm/5标的),用于自选股实时监控。
_CACHE_SCHEMA_VERSION = 5
# 探测用最小代价请求:挑流通性最好的 1 只标的试
_PROBE_SYMBOL = "600000.SH" # 浦发银行,长期不会退市
def _load_tiers_yaml() -> dict[str, dict[str, dict[str, Any]]]:
for path in [settings.tiers_yaml, Path("/app/tiers.yaml"), Path("../tiers.yaml")]:
if path.exists():
with path.open(encoding="utf-8") as f:
return yaml.safe_load(f)
raise FileNotFoundError("tiers.yaml not found")
def _tier_to_capset(tier_def: dict[str, dict[str, Any]]) -> CapabilitySet:
caps: dict[Cap, CapabilityLimits] = {}
for cap_name, limits_dict in tier_def.items():
try:
cap = Cap(cap_name)
except ValueError:
logger.warning("unknown cap in tiers.yaml: %s", cap_name)
continue
caps[cap] = CapabilityLimits(
rpm=limits_dict.get("rpm"),
batch=limits_dict.get("batch"),
subscribe=limits_dict.get("subscribe"),
)
return CapabilitySet(caps)
def _is_transient(e: Exception) -> bool:
"""是否为"可重试的瞬时错误"——网络抖动 / 限流 / 服务端 5xx。
与权限/参数错误(403/401/400/404)区分:后者重试也无用,不重试。
用类名匹配而非 import SDK 异常,避免探测期对 SDK 内部耦合。
"""
cls = e.__class__.__name__
if cls in {
"RateLimitError", "InternalServerError", "APIError",
"ConnectionError", "TimeoutError", "ConnectError",
"ConnectTimeout", "ReadTimeout", "RemoteProtocolError",
"httpx.ConnectError", "httpx.TimeoutException",
}:
return True
# APIError 体系下,status_code 5xx/429 视为瞬时
status = getattr(e, "status_code", None)
if isinstance(status, int) and (status == 429 or status >= 500):
return True
return False
def _call_with_retry(fn, attempts: int = 3, backoff: float = 0.6) -> None:
"""调用 fn();对瞬时错误退避重试,权限/参数错误立即抛出。
attempts=总尝试次数(含首次)。返回 None,异常由调用方分类。
"""
last_exc: Exception | None = None
for i in range(attempts):
try:
fn()
return
except Exception as e: # noqa: BLE001
last_exc = e
# 权限/参数类错误:重试无意义,立即抛出交给 try_call 归类
if not _is_transient(e):
raise
# 瞬时错误:最后一轮不再 sleep
if i < attempts - 1:
time.sleep(backoff * (i + 1))
# 重试耗尽,抛出最后一次异常
assert last_exc is not None
raise last_exc
def _probe_real(tiers: dict) -> tuple[CapabilitySet, list[str]]:
"""逐 capability 试探。需要 API key。
**关键**:探测始终在付费端点(api.tickflow.org)上进行,用 key 鉴权验证有效性。
绝不能读旧 capabilities 缓存的档位来选服务器 —— 否则首次保存 key 时,
旧缓存是 none 档 → get_client() 返回 free 服务器 → free 服务器忽略 key →
乱填 key 也能拿到日K → 误判成 free 档(鸡生蛋蛋生鸡的循环依赖 bug)。
返回 (capset, probe_log)。
"""
from tickflow import TickFlow
from .client import _base_url, PAID_ENDPOINT
key = secrets_store.get_tickflow_key()
# 探测专用客户端:强制走付费端点验证 key。
# base_url 用用户自定义端点(若已配置测速切换),否则默认 api.tickflow.org。
probe_base = _base_url() or PAID_ENDPOINT
tf = TickFlow(api_key=key, base_url=probe_base)
available: dict[Cap, CapabilityLimits] = {}
log: list[str] = []
def try_call(cap: Cap, fn, default_limits: dict[str, Any]) -> None:
try:
_call_with_retry(fn)
available[cap] = CapabilityLimits(
rpm=default_limits.get("rpm"),
batch=default_limits.get("batch"),
subscribe=default_limits.get("subscribe"),
)
log.append(f"{cap}")
except Exception as e: # noqa: BLE001
msg = str(e).lower()
cls = e.__class__.__name__
# PermissionError 类名 / HTTP 403 / 中英文权限关键词都算"明确无权限"
is_perm_denied = (
cls in {"PermissionError", "AuthorizationError"}
or "permission" in msg or "unauthorized" in msg
or "403" in msg or "forbidden" in msg
or "套餐" in msg or "权限" in msg or "需要" in msg
)
if is_perm_denied:
log.append(f"{cap}(无权限)")
else:
# 重试耗尽仍失败的瞬时错误 — 标记为疑似,而非直接判定"无此能力"
log.append(f"? {cap} ({cls}: {e})")
# 用各档默认上限作为占位(无 X-RateLimit-* 头时)
# 取所有档的并集,逐 cap 试探
all_caps_defaults: dict[str, dict[str, Any]] = {}
for tier in ("free", "starter", "pro", "expert"):
for cap_name, lim in tiers.get(tier, {}).items():
all_caps_defaults.setdefault(cap_name, lim)
def defaults(cap: Cap) -> dict[str, Any]:
return all_caps_defaults.get(str(cap), {})
# 全部用 keyword-only 形式调用,符合 SDK 真实签名
# quote.by_symbol
try_call(Cap.QUOTE_BY_SYMBOL,
lambda: tf.quotes.get(symbols=[_PROBE_SYMBOL], as_dataframe=False),
defaults(Cap.QUOTE_BY_SYMBOL))
# quote.batch — 批量行情(POST /v1/quotes)。用 get_by_symbols 试探。
try_call(Cap.QUOTE_BATCH,
lambda: tf.quotes.get_by_symbols([_PROBE_SYMBOL], as_dataframe=False),
defaults(Cap.QUOTE_BATCH))
# quote.pool — 用一个真实存在的 universe id 试探。
# universes.list() 在 Free 也开放,先拿任意一个 universe id 再用 get_by_universes 试。
def _probe_pool():
unis = tf.universes.list()
if not unis:
raise RuntimeError("no universes available")
first_id = unis[0]["id"] if isinstance(unis[0], dict) else getattr(unis[0], "id")
return tf.quotes.get_by_universes([first_id], as_dataframe=False)
try_call(Cap.QUOTE_POOL, _probe_pool, defaults(Cap.QUOTE_POOL))
# kline.daily.by_symbol — Free 也有
try_call(Cap.KLINE_DAILY_BY_SYMBOL,
lambda: tf.klines.get(_PROBE_SYMBOL, period="1d", count=1, as_dataframe=False),
defaults(Cap.KLINE_DAILY_BY_SYMBOL))
# kline.daily.batch
try_call(Cap.KLINE_DAILY_BATCH,
lambda: tf.klines.batch([_PROBE_SYMBOL], period="1d", count=1, as_dataframe=False),
defaults(Cap.KLINE_DAILY_BATCH))
# kline.minute.by_symbol
try_call(Cap.KLINE_MINUTE_BY_SYMBOL,
lambda: tf.klines.get(_PROBE_SYMBOL, period="1m", count=1, as_dataframe=False),
defaults(Cap.KLINE_MINUTE_BY_SYMBOL))
# kline.minute.batch
try_call(Cap.KLINE_MINUTE_BATCH,
lambda: tf.klines.batch([_PROBE_SYMBOL], period="1m", count=1, as_dataframe=False),
defaults(Cap.KLINE_MINUTE_BATCH))
# intraday
try_call(Cap.INTRADAY,
lambda: tf.klines.intraday(_PROBE_SYMBOL, count=1, as_dataframe=False),
defaults(Cap.INTRADAY))
# intraday.batch
try_call(Cap.INTRADAY_BATCH,
lambda: tf.klines.intraday_batch([_PROBE_SYMBOL], count=1, as_dataframe=False),
defaults(Cap.INTRADAY_BATCH))
# depth5 — 按标的查(单只)
try_call(Cap.DEPTH5,
lambda: tf.depth.get(_PROBE_SYMBOL),
defaults(Cap.DEPTH5))
# depth5.batch — 批量查(SDK 0.1.23+ 提供 depth.batch,对应官方 /v1/depth/batch 端点)
try_call(Cap.DEPTH5_BATCH,
lambda: tf.depth.batch([_PROBE_SYMBOL]),
defaults(Cap.DEPTH5_BATCH))
# financial — SDK 提供 income / balance_sheet / cash_flow / metrics / shares
# 用 metrics 探测(单据最小)
try_call(Cap.FINANCIAL,
lambda: tf.financials.metrics([_PROBE_SYMBOL], latest=True, as_dataframe=False),
defaults(Cap.FINANCIAL))
# adj_factor — 实际在 klines.ex_factors
try_call(Cap.ADJ_FACTOR,
lambda: tf.klines.ex_factors([_PROBE_SYMBOL], as_dataframe=False),
defaults(Cap.ADJ_FACTOR))
# websocket 不在探测期试连接(成本太高且阻塞),按档位默认推断
# 若 expert 的其他 cap 都通,则推断 websocket 也可用
if (Cap.FINANCIAL in available and Cap.INTRADAY_BATCH in available):
available[Cap.WEBSOCKET] = CapabilityLimits(
subscribe=defaults(Cap.WEBSOCKET).get("subscribe", 100),
)
log.append("✓ websocket (inferred from expert tier)")
return CapabilitySet(available), log
def detect_capabilities(force: bool = False) -> CapabilitySet:
"""探测当前 API Key 的能力集。"""
cache_path = settings.data_dir / _CAPSET_CACHE_FILE
if not force and cache_path.exists():
with cache_path.open(encoding="utf-8") as f:
cached = json.load(f)
# schema 版本校验:旧缓存或缺版本号 → 过期,丢弃后重新探测
if cached.get("schema_version") == _CACHE_SCHEMA_VERSION:
return _capset_from_json(cached)
logger.info("capabilities 缓存 schema 版本过期(缓存=%s, 当前=%d), 重新探测",
cached.get("schema_version"), _CACHE_SCHEMA_VERSION)
tiers = _load_tiers_yaml()
if settings.use_free_mode:
# 无 key —— 归 none 档(走 free-api 服务器,仅历史日K)
capset = _tier_to_capset(tiers["none"])
_persist(capset, "None", log=["无 API Key(无档 · free-api 服务器)"], missing=[], extras=[])
return capset
# 有 API key — 真实探测
try:
capset, probe_log = _probe_real(tiers)
# 判定档位:无效 key → none,免费 key → free,付费 → starter/pro/expert
classified = _classify_tier(capset, tiers)
if classified.is_invalid:
# 无效 key(连单只日K都拿不到):归 none 档,标记要求清除 key
capset = _tier_to_capset(tiers["none"])
probe_log.append("⚠ Key 无效(单只日K也无法获取),判定为无档")
_persist(capset, "None", log=probe_log, missing=[], extras=[], invalid_key=True)
return capset
if classified.is_free:
# 免费有效 key:按 free 档能力持久化(日K free-api + 按标的实时)。
capset = _tier_to_capset(tiers["free"])
_persist(capset, "Free", log=probe_log + ["✓ 免费有效 key(运行时走 free-api 服务器)"], missing=[], extras=[])
return capset
# 付费档(starter+) — 探测出的能力即为真实可用
label, missing, extras = _compute_label_and_missing(capset, tiers)
capset = _override_limits_with_detected_tier(capset, label, tiers)
_persist(capset, label, log=probe_log, missing=missing, extras=extras)
return capset
except Exception as e:
logger.exception("detect_capabilities failed; using none baseline: %s", e)
capset = _tier_to_capset(tiers["none"])
_persist(capset, "None(探测失败)", log=[f"探测失败:{e}"], missing=[], extras=[])
return capset
# ===== Tier 代表性 capability(signature caps)=====
# 拥有**任意一个**即认作该档及以上。自上而下匹配。
# 这套设计的好处:单个 capability 探测的 transient 失败不会把整体档位"误降"。
TIER_SIGNATURES: dict[str, set[Cap]] = {
"expert": {Cap.FINANCIAL, Cap.INTRADAY_BATCH, Cap.WEBSOCKET},
"pro": {Cap.KLINE_MINUTE_BATCH, Cap.KLINE_MINUTE_BY_SYMBOL,
Cap.INTRADAY, Cap.DEPTH5, Cap.DEPTH5_BATCH},
"starter": {Cap.QUOTE_BATCH, Cap.KLINE_DAILY_BATCH,
Cap.ADJ_FACTOR, Cap.QUOTE_POOL},
# free / none 不需 signature — 由 _classify_tier 的分水岭逻辑判定
}
@dataclass(slots=True, frozen=True)
class TierClassification:
"""档位判定结果。
判定依据是"复权因子分水岭":
- 连单只日K都没有 → 无效 key(is_invalid),归 none 档
- 有单只日K、无复权因子 → 免费 key(is_free)
- 有复权因子 → 付费档(starter+),具体档位由 signature 决定
"""
tier: str # "none" / "free" / "starter" / "pro" / "expert"
is_invalid: bool # 无效 key(连单只日K都拿不到)
is_free: bool # 免费有效 key(有日K、无复权因子)
def _classify_tier(capset: CapabilitySet, tiers: dict) -> TierClassification:
"""根据探测出的能力集判定档位。
分水岭是 KLINE_DAILY_BY_SYMBOL(单只日K)与 ADJ_FACTOR(复权因子):
- 无单只日K → none(无效 key)
- 有日K无复权 → free(免费 key)
- 有复权因子 → 走 signature 判定 starter/pro/expert
"""
held = set(capset.all().keys())
# 1) 连单只日K都没有 → 无效 key
if Cap.KLINE_DAILY_BY_SYMBOL not in held:
return TierClassification(tier="none", is_invalid=True, is_free=False)
# 2) 有日K但无复权因子 → 免费 key
if Cap.ADJ_FACTOR not in held:
return TierClassification(tier="free", is_invalid=False, is_free=True)
# 3) 有复权因子 → 付费档,按 signature 自上而下判定
if held & TIER_SIGNATURES["expert"]:
base = "expert"
elif held & TIER_SIGNATURES["pro"]:
base = "pro"
elif held & TIER_SIGNATURES["starter"]:
base = "starter"
else:
# 有复权因子但无任何代表能力 — 兜底为 starter(复权本身是 starter 特征)
base = "starter"
return TierClassification(tier=base, is_invalid=False, is_free=False)
# 补丁友好命名(label 后缀用)
_CAP_ALIASES: dict[Cap, str] = {
Cap.KLINE_MINUTE_BATCH: "分钟K",
Cap.KLINE_MINUTE_BY_SYMBOL: "分钟K",
Cap.INTRADAY: "分时",
Cap.INTRADAY_BATCH: "批量分时",
Cap.DEPTH5: "五档",
Cap.DEPTH5_BATCH: "批量五档",
Cap.WEBSOCKET: "WS",
Cap.FINANCIAL: "财务",
Cap.ADJ_FACTOR: "复权",
Cap.QUOTE_BATCH: "批量行情",
Cap.QUOTE_POOL: "标的池",
Cap.KLINE_DAILY_BATCH: "日K批量",
}
def _override_limits_with_detected_tier(
capset: CapabilitySet, label: str, tiers: dict,
) -> CapabilitySet:
"""探测完成后,用判档对应的 limits 覆盖每个 cap 的速率/批量。
判档前每个 cap 用的是"所有档默认值的并集"(为了不漏数据),
判档后才知道用户真实档位,limits 用该档的实际值更准。
label 可能是 "Pro" / "Pro + 分钟K" / "Pro+" 等组合形式 — 取第一个词当作基线档名。
"""
base_name = label.split()[0].split("+")[0].strip().lower() # "Pro + 分钟K" → "pro"
tier_limits = tiers.get(base_name, {})
new_caps: dict[Cap, CapabilityLimits] = {}
for cap, _old_lim in capset.all().items():
spec = tier_limits.get(cap.value)
if spec:
new_caps[cap] = CapabilityLimits(
rpm=spec.get("rpm"),
batch=spec.get("batch"),
subscribe=spec.get("subscribe"),
)
else:
# 不在该档定义里(extras),用 expert 档兜底(最宽松)
expert_spec = tiers.get("expert", {}).get(cap.value, {})
new_caps[cap] = CapabilityLimits(
rpm=expert_spec.get("rpm"),
batch=expert_spec.get("batch"),
subscribe=expert_spec.get("subscribe"),
)
return CapabilitySet(new_caps)
def _tier_caps_set(tiers: dict, tier_name: str) -> set[Cap]:
"""读 tiers.yaml 的某档定义,转为 Cap 集合。"""
return {Cap(c) for c in tiers.get(tier_name, {}).keys() if c in {x.value for x in Cap}}
def _compute_label_and_missing(
capset: CapabilitySet, tiers: dict,
) -> tuple[str, list[str], list[str]]:
"""返回 (label, missing_caps, extra_caps)。
label:档位标签。
missing_caps:本档**应有但未探测到**的 capability(用于诊断:可能是探测 bug 或权限丢失)。
extra_caps:超出本档的额外 capability(自定义组合)。
"""
held = set(capset.all().keys())
# 1) 完全匹配 — 干净命中某档
for tier_name in ["free", "starter", "pro", "expert"]:
if held == _tier_caps_set(tiers, tier_name):
return tier_name.capitalize(), [], []
# 2) 按 signature 自上而下判档
if held & TIER_SIGNATURES["expert"]:
base = "expert"
elif held & TIER_SIGNATURES["pro"]:
base = "pro"
elif held & TIER_SIGNATURES["starter"]:
base = "starter"
else:
base = "free"
base_caps = _tier_caps_set(tiers, base)
missing = sorted(c.value for c in (base_caps - held))
extras = base_caps and (held - base_caps) or set() # extras 是超出该档的部分
# 实际超出 = held 中"既不属于本档、也不属于本档下方任何档"的 cap
# 简化:extras = held - base_caps
extras_set = held - base_caps
# 3) 拼 label
if not extras_set:
# 完全在本档内(可能缺一两项 — 由 missing 反映)
return base.capitalize(), missing, []
# 补丁过多 → 用 "≈" 形式
if len(extras_set) > 3:
return f"{base.capitalize()}+", missing, sorted(c.value for c in extras_set)
suffix = sorted({_CAP_ALIASES.get(e, str(e)) for e in extras_set})
return f"{base.capitalize()} + " + " + ".join(suffix), missing, sorted(c.value for c in extras_set)
def _compute_label(capset: CapabilitySet, tiers: dict) -> str:
"""对外简化签名 — 只要 label。"""
label, _missing, _extras = _compute_label_and_missing(capset, tiers)
return label
def _persist(
capset: CapabilitySet,
label: str,
log: list[str] | None = None,
missing: list[str] | None = None,
extras: list[str] | None = None,
invalid_key: bool = False,
) -> None:
settings.data_dir.mkdir(parents=True, exist_ok=True)
cache_path = settings.data_dir / _CAPSET_CACHE_FILE
payload = {
"schema_version": _CACHE_SCHEMA_VERSION,
"label": label,
"capabilities": capset.to_dict(),
"probe_log": log or [],
"missing_caps": missing or [], # 本档应有但未探测到
"extras_caps": extras or [], # 超出本档的额外能力
"invalid_key": invalid_key, # 探测出的 key 无效(连单只日K都拿不到)
}
with cache_path.open("w", encoding="utf-8") as f:
json.dump(payload, f, ensure_ascii=False, indent=2)
def _capset_from_json(data: dict[str, Any]) -> CapabilitySet:
caps: dict[Cap, CapabilityLimits] = {}
for cap_name, lim in data.get("capabilities", {}).items():
try:
cap = Cap(cap_name)
except ValueError:
continue
caps[cap] = CapabilityLimits(
rpm=lim.get("rpm"),
batch=lim.get("batch"),
subscribe=lim.get("subscribe"),
)
return CapabilitySet(caps)
def tier_label() -> str:
cache_path = settings.data_dir / _CAPSET_CACHE_FILE
if cache_path.exists():
with cache_path.open(encoding="utf-8") as f:
return json.load(f).get("label", "Unknown")
return "Unknown"
def probe_log() -> list[str]:
cache_path = settings.data_dir / _CAPSET_CACHE_FILE
if cache_path.exists():
with cache_path.open(encoding="utf-8") as f:
return json.load(f).get("probe_log", [])
return []
def missing_caps() -> list[str]:
"""本档应有但未探测到的 capability — 通常意味着探测有 bug 或权限边界。"""
cache_path = settings.data_dir / _CAPSET_CACHE_FILE
if cache_path.exists():
with cache_path.open(encoding="utf-8") as f:
return json.load(f).get("missing_caps", [])
return []
def extras_caps() -> list[str]:
cache_path = settings.data_dir / _CAPSET_CACHE_FILE
if cache_path.exists():
with cache_path.open(encoding="utf-8") as f:
return json.load(f).get("extras_caps", [])
return []
def is_invalid_key() -> bool:
"""最近一次探测是否判定 key 无效(连单只日K都拿不到)。
settings 层据此清除已存的 key,避免乱填的 key 被持久化。
"""
cache_path = settings.data_dir / _CAPSET_CACHE_FILE
if cache_path.exists():
with cache_path.open(encoding="utf-8") as f:
return bool(json.load(f).get("invalid_key", False))
return False
def base_tier_name() -> str:
"""当前档位的基础名(小写): none / free / starter / pro / expert。
供 client 层判断"是否走 free-api 服务器"(none/free → free 服务器)。
"""
label = tier_label()
return label.split()[0].split("+")[0].strip().lower()
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"""标的池(Universe)定义(§6.3)。
Phase 1 实现:
- 常用指数成份(沪深 300 / 中证 500 / 上证 50)用 TickFlow `quote.pool` 端点拉取并缓存
- 全 A 通过 instruments.batch 获取
- 自选池 = 用户的 watchlist
"""
from __future__ import annotations
import logging
from datetime import date
from pathlib import Path
from typing import Literal
import polars as pl
from app.config import settings
from app.tickflow.client import get_client
logger = logging.getLogger(__name__)
PoolId = Literal["CSI300", "CSI500", "SSE50", "CN_Equity_A", "CN_Index", "watchlist"]
# TickFlow universe id 是它内部命名(见 tf.universes.list())。
# 没有官方对照表,启动时按名称模糊匹配从 universes.list() 里找。
# 常见名:沪深300 / 中证500 / 上证50 / 全 A
_POOL_NAME_HINTS = {
"CSI300": ["沪深300", "HS300", "CSI300"],
"CSI500": ["中证500", "ZZ500", "CSI500"],
"SSE50": ["上证50", "SH50", "SSE50"],
}
def _find_universe_id(hints: list[str]) -> str | None:
"""从 universes.list() 里按 name/id 子串匹配找一个 universe id。"""
try:
tf = get_client()
unis = tf.universes.list()
except Exception as e: # noqa: BLE001
logger.warning("universes.list failed: %s", e)
return None
for u in unis or []:
item = u if isinstance(u, dict) else {"id": getattr(u, "id", ""), "name": getattr(u, "name", "")}
haystack = (item.get("id", "") + " " + item.get("name", "")).lower()
for h in hints:
if h.lower() in haystack:
return item["id"]
return None
def _pool_cache_path(pool_id: str) -> Path:
return settings.data_dir / "pools" / f"{pool_id}.parquet"
def get_pool(pool_id: PoolId, refresh: bool = False) -> list[str]:
"""返回标的池里的 symbol 列表。"""
if pool_id == "watchlist":
return _load_watchlist()
cache = _pool_cache_path(pool_id)
if cache.exists() and not refresh:
df = pl.read_parquet(cache)
return df["symbol"].to_list()
symbols = _fetch_pool(pool_id)
if symbols:
cache.parent.mkdir(parents=True, exist_ok=True)
pl.DataFrame({"symbol": symbols, "as_of": [date.today()] * len(symbols)}).write_parquet(cache)
return symbols
def _fetch_pool(pool_id: PoolId) -> list[str]:
"""从 TickFlow 拉取池成份。
实现:先用 universes.list 找到 universe id,再 quotes.get_by_universes 拉成份。
"""
tf = get_client()
if pool_id in _POOL_NAME_HINTS:
uid = _find_universe_id(_POOL_NAME_HINTS[pool_id])
if not uid:
logger.warning("无法在 TickFlow universes 列表里匹配到 %s", pool_id)
return []
try:
df = tf.quotes.get_by_universes([uid], as_dataframe=True)
if df is not None and len(df) > 0 and "symbol" in df.columns:
return df["symbol"].astype(str).tolist()
except Exception as e: # noqa: BLE001
logger.warning("fetch pool %s via universe %s failed: %s", pool_id, uid, e)
if pool_id == "CN_Equity_A":
# 全 A — 优先直接用 CN_Equity_A universe (包含沪深京三市)
uid = _find_universe_id(["CN_Equity_A", "沪深京A股", "全A"])
if uid:
try:
df = tf.quotes.get_by_universes([uid], as_dataframe=True)
if df is not None and len(df) > 0 and "symbol" in df.columns:
return sorted(set(df["symbol"].astype(str).tolist()))
except Exception as e: # noqa: BLE001
logger.warning("fetch CN_Equity_A via universe %s failed: %s", uid, e)
# fallback: 聚合申万一级行业 (覆盖度较低, 缺北交所/新股)
try:
unis = tf.universes.list()
except Exception as e: # noqa: BLE001
logger.warning("universes.list failed: %s", e)
unis = []
sw1_ids = []
for u in unis or []:
item = u if isinstance(u, dict) else {"id": getattr(u, "id", "")}
uid = item.get("id", "")
if "SW1_" in uid:
sw1_ids.append(uid)
if sw1_ids:
try:
df = tf.quotes.get_by_universes(sw1_ids, as_dataframe=True)
if df is not None and "symbol" in df.columns:
return sorted(set(df["symbol"].astype(str).tolist()))
except Exception as e: # noqa: BLE001
logger.warning("aggregate SW1 fetch failed: %s", e)
if pool_id == "CN_Index":
uid = _find_universe_id(["CN_Index", "沪深指数", "指数"])
ids = [uid] if uid else ["CN_Index"]
try:
df = tf.quotes.get_by_universes(ids, as_dataframe=True)
if df is not None and len(df) > 0 and "symbol" in df.columns:
return sorted(set(df["symbol"].astype(str).tolist()))
except Exception as e: # noqa: BLE001
logger.warning("fetch CN_Index via universe %s failed: %s", ids, e)
return []
def _load_watchlist() -> list[str]:
"""读取用户自选(由 watchlist service 维护)。"""
path = settings.data_dir / "user_data" / "watchlist.parquet"
if not path.exists():
return []
df = pl.read_parquet(path)
if df.is_empty() or "symbol" not in df.columns:
return []
return df["symbol"].to_list()
# 兜底:Free 用户/无 API 时给一个小型可用集合,让 UI 不至于空白
DEMO_SYMBOLS = [
"600000.SH", # 浦发银行
"600036.SH", # 招商银行
"600519.SH", # 贵州茅台
"601318.SH", # 中国平安
"601398.SH", # 工商银行
"000001.SZ", # 平安银行
"000333.SZ", # 美的集团
"000651.SZ", # 格力电器
"000858.SZ", # 五粮液
"002594.SZ", # 比亚迪
]
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"""请求调度器(§5.6)。
按 capability 分别维护令牌桶。Phase 0:基础实现;Phase 1 接入批量合并、优先级队列。
"""
from __future__ import annotations
import asyncio
import time
from dataclasses import dataclass
from .capabilities import Cap, CapabilitySet
@dataclass
class _Bucket:
capacity: int # 每分钟令牌数
tokens: float
last_refill: float # 单位:秒
def consume(self, n: int = 1) -> float:
"""尝试消费 n 个令牌,返回需要等待的秒数(0 表示无需等待)。"""
now = time.monotonic()
elapsed = now - self.last_refill
# 60s 内补满 capacity,匀速补
refill = elapsed * (self.capacity / 60.0)
self.tokens = min(self.capacity, self.tokens + refill)
self.last_refill = now
if self.tokens >= n:
self.tokens -= n
return 0.0
deficit = n - self.tokens
# 还需多少秒才能补齐
wait = deficit / (self.capacity / 60.0)
# 不预扣,留给下一次再竞争(避免饿死优先级高的请求)
return wait
class Scheduler:
"""每个 capability 一个桶。"""
def __init__(self, capset: CapabilitySet) -> None:
self._capset = capset
self._buckets: dict[Cap, _Bucket] = {}
self._locks: dict[Cap, asyncio.Lock] = {}
for cap, lim in capset.all().items():
if lim.rpm:
self._buckets[cap] = _Bucket(
capacity=lim.rpm,
tokens=lim.rpm,
last_refill=time.monotonic(),
)
self._locks[cap] = asyncio.Lock()
async def acquire(self, cap: Cap, n: int = 1) -> None:
"""阻塞直到拿到 n 个令牌。无桶 = 不限流(由调用方保证)。"""
bucket = self._buckets.get(cap)
if bucket is None:
return
lock = self._locks[cap]
async with lock:
while True:
wait = bucket.consume(n)
if wait == 0:
return
await asyncio.sleep(wait)