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[patch] Remove kpi function MergeByFirstValid #790

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[patch] Remove kpi function MergeByFirstValid #790

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39 changes: 0 additions & 39 deletions iotfunctions/bif.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3118,45 +3118,6 @@ def execute(self, df):
return df


class MergeByFirstValid(BaseTransformer):

@classmethod
def metadata(cls):
return _generate_metadata(cls, {
'description': 'Create alerts that are triggered when data values reach a particular range.', 'input': [
{'name': 'sources', 'description': 'Select one or more data items to be merged.', 'type': 'DATA_ITEM',
'required': True, 'dataType': 'ARRAY',
'jsonSchema': {"$schema": "https://json-schema.org/draft-07/schema#", "title": "sources",
"type": "array", "minItems": 1, "items": {"type": "string"}}}], 'output': [
{'name': 'name', 'description': 'The new data item name for the merge result to create.',
'dataTypeFrom': 'sources'}], 'tags': ['EVENT', 'JUPYTER']})

def __init__(self, name=None, sources=None):
self.logger = logging.getLogger('%s.%s' % (self.__module__, self.__class__.__name__))

if name is None or not isinstance(name, str):
raise RuntimeError("argument name must be provided and must be a string")

self.name = name
self.sources = sources

def execute(self, df):
sources_not_in_column = df.index.names
df = df.reset_index()

df[self.name] = df[self.sources].bfill(axis=1).iloc[:, 0]
msg = 'MergeByFirstValid %s' % df[self.name].unique()[0:50]
self.logger.debug(msg)

msg = 'Null merge key: %s' % df[df[self.name].isna()].head(1).transpose()
self.logger.debug(msg)

# move back index
df = df.set_index(keys=sources_not_in_column)

return df


class InvokeWMLModel(DataExpanderTransformer):
'''
Pass multivariate data in input_items to a regression function deployed to
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