Refactor contructors for class Power
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1 changed files with 20 additions and 21 deletions
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@ -32,13 +32,6 @@ def parse_jobid(s):
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class Power:
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def __init__(self, nodes):
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self.nodes = nodes
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self.epochs = None
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self.first_ts = None
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self.last_ts = None
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self.warnings = ""
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@classmethod
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def from_list(cls, data):
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"""
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@ -48,7 +41,7 @@ class Power:
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- data is sorted by timestamp ascending
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"""
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df = pd.DataFrame(data, columns=['time', 'node', 'power'])
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power = cls.from_pandas(df, columns={})
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power = cls(df, columns={})
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return power
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@ -57,25 +50,31 @@ class Power:
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df = db.db_to_pf(jobid, interval, hawk_ai)
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if df.empty:
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raise RuntimeError
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power = cls.from_pandas(df, {'time': 'time', 'name': 'node', 'avg': 'power'})
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power = cls(df, {'time': 'time', 'name': 'node', 'avg': 'power'})
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return power
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@classmethod
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def from_pandas(cls, dataframe, columns):
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dataframe.rename(columns=columns, inplace=True)
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def __init__(self, dataframe, columns={}):
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if columns:
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dataframe.rename(columns=columns, inplace=True)
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_required_cols = {'time', 'node', 'power'}
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if not _required_cols.issubset(set(dataframe.columns)):
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raise RuntimeError
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if not dataframe['time'].is_monotonic_increasing:
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raise RuntimeError
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by_node = dataframe.groupby('node')
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nodes = list(by_node.groups.keys())
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epochs = dataframe.groupby('time')
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times = list(epochs.groups.keys())
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power = cls(nodes)
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power.epochs = dataframe.groupby('time')
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times = list(power.epochs.groups.keys())
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power.first_ts, power.last_ts = times[0], times[-1]
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power.dataframe = dataframe
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power.by_node = power.dataframe.groupby('node')
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power.energy = power.summarize_energy()
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return power
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self.dataframe = dataframe
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self.nodes = nodes
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self.epochs = epochs
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self.by_node = by_node
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self.first_ts, self.last_ts = times[0], times[-1]
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self.warnings = "" # add check for warning, i.e. data gaps due to missing nodes
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self.energy = self.summarize_energy()
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def to_file(self, jobid, header=""):
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"""Dumps power data to file. Returns filename is succesfull and None if unsucessfull."""
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