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feat(web): 增量自动刷新、结构区修复与默认指标/周期

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自动刷新常态只拉 recent 尾部 K，每 1 分钟全量重算缠论；修复结构区缓存导入；默认指标/4h·1h·15m/近30天；同步 ECR-009 screener 相关改动。

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
jackyu66git
2026-08-08 15:45:40 +08:00
co-authored by Cursor
parent 0f6eb92a1f
commit 18a7f485e6
23 changed files with 2133 additions and 310 deletions
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web/services/runtime/timeframes.py
+4 -4
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@@ -94,19 +94,19 @@ def _prefer_smaller(candidates, labels_ordered, ceiling_tf, timeframe_keys):
def compute_timeframe_defaults(labels_ordered):
"""
根据已排序的「周期 → 中文标签」映射，计算主 / 次 / 次次周期默认值。
默认偏好：主 4h、次 2h、次次 1h（威科夫与结构在小时级更可读）。
默认偏好：主 4h、次 1h、次次 15m。
labels_ordered: OrderedDict 或按插入顺序排列的 dict。
"""
if not labels_ordered:
labels_ordered = DEFAULT_TIMEFRAME_LABELS.copy()
timeframe_keys = list(labels_ordered.keys())
preferred_main = next((tf for tf in ['4h', '2h', '1h'] if tf in labels_ordered), None)
preferred_main = next((tf for tf in ['4h', '1h', '15m'] if tf in labels_ordered), None)
default_main = preferred_main or (timeframe_keys[0] if timeframe_keys else '1m')
if default_main not in labels_ordered and timeframe_keys:
default_main = timeframe_keys[0]
default_element = _prefer_smaller(['2h', '1h'], labels_ordered, default_main, timeframe_keys)
default_sub_sub = _prefer_smaller(['1h'], labels_ordered, default_element, timeframe_keys)
default_element = _prefer_smaller(['1h', '15m'], labels_ordered, default_main, timeframe_keys)
default_sub_sub = _prefer_smaller(['15m', '5m'], labels_ordered, default_element, timeframe_keys)
return default_main, default_element, default_sub_sub, timeframe_keys