chore: 添加虚拟环境到仓库
- 添加 backend_service/venv 虚拟环境 - 包含所有Python依赖包 - 注意:虚拟环境约393MB,包含12655个文件
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"""
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Package for SQL analytic functions wrappers
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"""
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from pypika.terms import (
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AnalyticFunction,
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WindowFrameAnalyticFunction,
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IgnoreNullsAnalyticFunction,
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)
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__author__ = "Timothy Heys"
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__email__ = "theys@kayak.com"
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class Preceding(WindowFrameAnalyticFunction.Edge):
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modifier = "PRECEDING"
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class Following(WindowFrameAnalyticFunction.Edge):
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modifier = "FOLLOWING"
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CURRENT_ROW = "CURRENT ROW"
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class Rank(AnalyticFunction):
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def __init__(self, **kwargs):
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super(Rank, self).__init__("RANK", **kwargs)
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class DenseRank(AnalyticFunction):
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def __init__(self, **kwargs):
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super(DenseRank, self).__init__("DENSE_RANK", **kwargs)
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class RowNumber(AnalyticFunction):
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def __init__(self, **kwargs):
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super(RowNumber, self).__init__("ROW_NUMBER", **kwargs)
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class NTile(AnalyticFunction):
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def __init__(self, term, **kwargs):
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super(NTile, self).__init__("NTILE", term, **kwargs)
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class FirstValue(WindowFrameAnalyticFunction, IgnoreNullsAnalyticFunction):
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def __init__(self, *terms, **kwargs):
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super(FirstValue, self).__init__("FIRST_VALUE", *terms, **kwargs)
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class LastValue(WindowFrameAnalyticFunction, IgnoreNullsAnalyticFunction):
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def __init__(self, *terms, **kwargs):
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super(LastValue, self).__init__("LAST_VALUE", *terms, **kwargs)
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class Median(AnalyticFunction):
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def __init__(self, term, **kwargs):
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super(Median, self).__init__("MEDIAN", term, **kwargs)
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class Avg(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(Avg, self).__init__("AVG", term, **kwargs)
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class StdDev(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(StdDev, self).__init__("STDDEV", term, **kwargs)
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class StdDevPop(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(StdDevPop, self).__init__("STDDEV_POP", term, **kwargs)
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class StdDevSamp(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(StdDevSamp, self).__init__("STDDEV_SAMP", term, **kwargs)
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class Variance(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(Variance, self).__init__("VARIANCE", term, **kwargs)
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class VarPop(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(VarPop, self).__init__("VAR_POP", term, **kwargs)
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class VarSamp(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(VarSamp, self).__init__("VAR_SAMP", term, **kwargs)
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class Count(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(Count, self).__init__("COUNT", term, **kwargs)
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class Sum(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(Sum, self).__init__("SUM", term, **kwargs)
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class Max(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(Max, self).__init__("MAX", term, **kwargs)
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class Min(WindowFrameAnalyticFunction):
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def __init__(self, term, **kwargs):
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super(Min, self).__init__("MIN", term, **kwargs)
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class Lag(AnalyticFunction):
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def __init__(self, *args, **kwargs):
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super(Lag, self).__init__("LAG", *args, **kwargs)
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class Lead(AnalyticFunction):
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def __init__(self, *args, **kwargs):
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super(Lead, self).__init__("LEAD", *args, **kwargs)
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