修正时区差异
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@ -977,9 +977,12 @@ class FreqaiPrimer(IStrategy):
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display_latest = display_latest.replace(tzinfo=timezone.utc)
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display_latest = display_latest.astimezone(UTC_PLUS_8)
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latest_time_str = display_latest.strftime('%H:%M:%S')
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# 计算数据新鲜度
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# 计算数据新鲜度(修正时区差异)
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latest_naive = display_latest.replace(tzinfo=None)
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data_freshness = (datetime.now() - latest_naive).total_seconds() / 60
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current_time_utc8 = datetime.now().replace(tzinfo=UTC_PLUS_8).replace(tzinfo=None)
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data_freshness = (current_time_utc8 - latest_naive).total_seconds() / 60
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# 修正时区差异后的判断
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if data_freshness <= 10:
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fresh_icon = "✅"
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elif data_freshness <= 30:
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@ -999,7 +1002,10 @@ class FreqaiPrimer(IStrategy):
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display_latest = display_latest.astimezone(UTC_PLUS_8)
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latest_time_str = display_latest.strftime('%H:%M:%S')
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latest_naive = display_latest.replace(tzinfo=None)
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data_freshness = (datetime.now() - latest_naive).total_seconds() / 60
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current_time_utc8 = datetime.now().replace(tzinfo=UTC_PLUS_8).replace(tzinfo=None)
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data_freshness = (current_time_utc8 - latest_naive).total_seconds() / 60
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# 修正时区差异后的判断
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if data_freshness <= 10:
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fresh_icon = "✅"
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elif data_freshness <= 30:
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