bug fixes can now be used as a library
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4b4647d200
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@ -82,7 +82,7 @@ class Learner(Process):
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pass
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def get_schema(self):
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if self.store['source']['provider'] != 'bigquery' :
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return [{'name':self._df.dtypes.index.tolist()[i],'type':self._df.dtypes.astype(str).tolist()[i]}for i in range(self._df.dtypes.shape[0])]
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return [] #{'name':self._df.dtypes.index.tolist()[i],'type':self._df.dtypes.astype(str).tolist()[i]}for i in range(self._df.dtypes.shape[0])]
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else:
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reader = transport.factory.instance(**self.store['source'])
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return reader.meta(table=self.info['from'])
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@ -276,12 +276,15 @@ class Generator (Learner):
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pass
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def format(self,_df,_schema):
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r = {}
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for _item in _schema :
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name = _item['name']
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if _item['type'].upper() in ['DATE','DATETIME','TIMESTAMP'] :
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FORMAT = '%Y-%m-%d'
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try:
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#
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#-- Sometimes data isn't all it's meant to be
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if 'format' in self.info and name in self.info['format'] :
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FORMAT = self.info['format'][name]
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elif _item['type'] in ['DATETIME','TIMESTAMP'] :
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@ -290,10 +293,18 @@ class Generator (Learner):
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r[name] = FORMAT
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_df[name] = pd.to_datetime(_df[name], format=FORMAT) #.astype('datetime64[ns]')
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if _item['type'] in ['DATETIME','TIMESTAMP']:
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_df[name] = _df[name].astype('datetime64[ns]')
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_df[name] = _df[name].fillna('').astype('datetime64[ns]')
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else:
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_df[name] = _df[name].astype(str)
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except Exception as e:
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pass
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finally:
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pass
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else:
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# print (_item)
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pass
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_df = _df.replace('NaT','')
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if r :
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self.log(**{'action':'format','input':r})
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return _df
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@ -391,4 +402,7 @@ class factory :
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elif _args['apply'] == 'generate' :
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return Generator(**_args)
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else:
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return Trainer(**_args)
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pthread= Trainer(**_args)
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if 'start' in _args and _args['start'] == True :
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pthread.start()
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return pthread
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2
setup.py
2
setup.py
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@ -4,7 +4,7 @@ import sys
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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args = {"name":"data-maker","version":"1.5.3",
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args = {"name":"data-maker","version":"1.5.4",
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"author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vumc.org","license":"MIT",
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow']
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