def build_ui(cls):
# Define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(
name='input_item',
datatype=float,
description=
'Data item to calculate average of same hour of previous day'))
# define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(
name='output_item1',
datatype=float,
description='output_item1',
))
outputs.append(
ui.UIFunctionOutSingle(
name='output_item2',
datatype=float,
description='output_item2',
))
return inputs, outputs
def build_ui(cls):
# define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(name='input_item_1',
datatype=float,
description='Input item 1'))
inputs.append(
ui.UISingleItem(name='input_item_2',
datatype=float,
description="Input item 2"))
# define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(name='output_item',
datatype=float,
description='output data'))
return (inputs, outputs)
def build_ui(cls):
# define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(name='input_item1',
datatype=float,
description='Data item to calculate daily sum'))
inputs.append(
ui.UISingleItem(name='input_item2',
datatype=str,
description='Dimension to aggregate on'))
# define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(name='output_item',
datatype=float,
description='HistDaySumEntity'))
return inputs, outputs
def build_ui(cls):
# define arguments that behave as function inputs
inputs = []
inputs.append(ui.UISingleItem(name='company_code', datatype=bool))
inputs.append(
ui.UIMulti(name='company',
datatype=str,
values=['AMCE', 'ABC', 'JDI']))
return (inputs, [ui.UIStatusFlag('status_flag')])
def build_ui(cls):
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(name='input_item_1',
datatype=float,
description='First column for correlation'))
inputs.append(
ui.UISingleItem(name='input_item_2',
datatype=float,
description='Second column for correlation'))
#define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(
name='output_item',
datatype=float,
description='Column with the (scalar) coefficient'))
return (inputs, outputs)
def build_ui(cls):
# define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(name='timestamp',
datatype=dt.datetime,
description='Timestamp'))
inputs.append(
ui.UISingleItem(name='totalizer_hourly',
datatype=float,
description="Totalizer hourly"))
# define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(name='timestamp',
datatype=dt.datetime,
description='Timestamp'))
outputs.append(
ui.UIFunctionOutSingle(name='output_item',
datatype=float,
description='DRA Usage'))
return inputs, outputs
def build_ui(cls):
# Your function will UI built automatically for configuring it
# This method describes the contents of the dialog that will be built
# Account for each argument - specifying it as a ui object in the "inputs" or "outputs" list
inputs = []
inputs.append(
ui.UISingleItem(name='temp',
datatype=float,
description='Temperature Value'))
inputs.append(
ui.UISingleItem(name='pressure',
datatype=float,
description='Pressure Value'))
outputs = [
ui.UIFunctionOutSingle(
name='output_value',
datatype=float,
description=
'Output dessa função é o calculo da temperatura e a pressao')
]
return (inputs, outputs)
def build_ui(cls):
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingle(name='nr_centroids',
datatype=int,
description='Number of centroids'))
inputs.append(
ui.UISingleItem(name='input_item_1',
datatype=float,
description='First column for correlation'))
inputs.append(
ui.UISingleItem(name='input_item_2',
datatype=float,
description='Second column for correlation'))
#define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(name='label',
datatype=int,
description='K-Means label'))
return (inputs, outputs)
def build_ui(cls):
from iotfunctions import ui
import datetime
# define arguments that behave as function inputs
inputs = [
ui.UIMultiItem(name='drop_if_NaN', datatype=float),
ui.UISingleItem(name='timestamp_column',
datatype=datetime.datetime),
ui.UIMulti(name='keep_timestamp',
datatype=str,
values=['min', 'mean', 'max'])
]
return (inputs, [ui.UIStatusFlag('filter_set')])
def build_ui(cls):
# define arguments that behave as function inputs
inputs = []
inputs.append(ui.UISingleItem(
name='input_item',
datatype=float,
description='Choose an item to aggregate',
required=True,
))
outputs = [
ui.UIFunctionOutSingle(name='output_item', datatype=float)
]
return (inputs,outputs)
def build_ui(cls):
# Your function will UI built automatically for configuring it
# This method describes the contents of the dialog that will be built
# Account for each argument - specifying it as a ui object in the "inputs" or "outputs" list
inputs = [(ui.UISingleItem(
name='input_item',
datatype=None,
description=
'Data items that have conditional values, e.g. temp and pressure'))
]
outputs = [
ui.UIFunctionOutSingle(
name='output_item_append',
datatype=str,
description='Output item produced by function')
]
return (inputs, outputs)
def build_ui(cls):
# define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(name='status_input_item',
datatype=None,
description='Item name to use for status'))
inputs.append(
ui.UISingle(
name='include_only',
datatype=str,
description='Filter to include only rows with a status of this'
))
# define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(
name='output_item',
datatype=bool,
description=
'Item that contains the execution status of this function'))
return (inputs, outputs)
def build_ui(cls):
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(name='input_item',
datatype=float,
description='Column for feature extraction'))
inputs.append(
ui.UISingle(
name='windowsize',
datatype=int,
description='Window size for spectral analysis - default 24'))
inputs.append(
ui.UISingle(name='zscore',
datatype=float,
description='Zscore to be interpreted as anomaly'))
#define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(name='output_item',
datatype=float,
description='zscore'))
return (inputs, outputs)
def build_ui(cls):
"""
Registration metadata
"""
# define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingleItem(name='date_1',
datatype=dt.datetime,
required=False,
description=('Date data item. Use timestamp'
' if no date specified')))
inputs.append(
ui.UISingle(name='ref_date',
datatype=dt.datetime,
description='Date value'))
# define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(name='num_days',
datatype=float,
description='Number of days'))
return (inputs, outputs)
def build_ui(cls):
# Your function will UI built automatically for configuring it
# This method describes the contents of the dialog that will be built
# Account for each argument - specifying it as a ui object in the "inputs" or "outputs" list
inputs = []
inputs.append(
ui.UISingleItem(name='BPT1', datatype=float, description='BPT1'))
inputs.append(
ui.UISingleItem(name='BPT2', datatype=float, description='BPT2'))
inputs.append(
ui.UISingleItem(name='BPT3', datatype=float, description='BPT3'))
inputs.append(
ui.UISingleItem(name='BPT4', datatype=float, description='BPT4'))
inputs.append(
ui.UISingleItem(name='BPT5', datatype=float, description='BPT5'))
inputs.append(
ui.UISingleItem(name='BPT6', datatype=float, description='BPT6'))
inputs.append(
ui.UISingleItem(name='BPT7', datatype=float, description='BPT7'))
inputs.append(
ui.UISingleItem(name='BPT8', datatype=float, description='BPT8'))
inputs.append(
ui.UISingleItem(name='Powerup_Steam_Flow_Rate',
datatype=float,
description='Powerup Steam Flow Rate'))
inputs.append(
ui.UISingleItem(name='Ratio_outlet_inlet_temp',
datatype=float,
description='Ratio of outlet inlet temp'))
inputs.append(
ui.UISingleItem(name='Steam_Supply_Pressure',
datatype=float,
description='Steam supply pressure'))
inputs.append(
ui.UISingleItem(name='Turbine_Inlet_Temperature',
datatype=float,
description='Turbine Inlet Temperature'))
inputs.append(
ui.UISingleItem(name='Turbine_Outlet_Temperature',
datatype=float,
description='Turbine Outlet Temperature'))
inputs.append(
ui.UISingleItem(name='Vibration',
datatype=float,
description='Vibration'))
outputs = [
ui.UIFunctionOutSingle(
name='prediction',
datatype=float,
description='Output item produced by function')
]
return inputs, outputs
