def build_ui(cls):
"""
Describe the Azure ServiceBus connectivity
"""
from iotfunctions import ui
# define arguments that behave as function inputs
inputs = [
ui.UISingle(required=True,
datatype=str,
name='EndPoint',
description='Azure EndPoint'),
ui.UISingle(required=True,
datatype=str,
name='SharedAccessKeyName',
description='Azure SharedAccessKeyName'),
ui.UISingle(required=True,
datatype=str,
name='SharedAccessKey',
description='Azure SharedAccessKey'),
ui.UISingle(required=True,
datatype=int,
name='EntityPath',
description='Azure EntityPath'),
]
# define arguments that behave as function outputs
outputs = [ui.UIStatusFlag(name='sb_preload_ok')]
return (inputs, outputs)
def build_ui(cls):
"""
Describe the sklearn model and target column
"""
# define arguments that behave as function inputs
inputs = [
ui.UISingle(required=True,
datatype=str,
name='model_path',
description='Path of sklearn pickle file'),
ui.UIMultiItem(
required=True,
datatype=str,
name='dependent_variables',
description=
"Columns to provide to the model's predict() function")
]
# define arguments that behave as function outputs
outputs = [
ui.UISingle(required=True,
datatype=str,
name='predicted_value',
description='Name of the predicted column')
]
return (inputs, outputs)
def build_ui(cls):
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UIMultiItem(
name='input_items',
datatype=float,
description="Data items adjust",
# output_item = 'output_item',
is_output_datatype_derived=True))
inputs.append(
ui.UISingle(
name='wml_endpoint',
datatype=str,
description='Endpoint to WML service where model is hosted',
tags=['TEXT'],
required=True))
inputs.append(
ui.UISingle(name='deployment_id',
datatype=str,
description='Deployment ID for WML model',
tags=['TEXT'],
required=True))
inputs.append(
ui.UISingle(name='apikey',
datatype=str,
description='IBM Cloud API Key',
tags=['TEXT'],
required=True))
outputs = []
outputs.append(ui.UISingle(name='output_item', datatype=float))
return (inputs, outputs)
def build_ui(cls):
'''
Registration metadata
'''
# define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingle(name='request',
datatype=str,
description='comma separated list of entity ids',
values=['GET', 'POST', 'PUT', 'DELETE']))
inputs.append(
ui.UISingle(name='url',
datatype=str,
description='request url',
tags=['TEXT'],
required=True))
inputs.append(
ui.UISingle(name='headers',
datatype=dict,
description='request url',
required=False))
inputs.append(
ui.UISingle(name='body',
datatype=dict,
description='request body',
required=False))
# define arguments that behave as function outputs
outputs = []
outputs.append(ui.UIStatusFlag(name='output_item'))
return (inputs, outputs)
def build_ui(cls):
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UIMultiItem(
name='input_items',
datatype=float,
description="Data items adjust",
# output_item = 'output_item',
is_output_datatype_derived=True))
# inputs.append(ui.UISingle(name='input_columns',
# datatype=str,
# description='Features to load from entity rows. Provide as list of comma seperated values like so - torque,speed,pressure',
# tags=['TEXT'],
# required=True
# ))
inputs.append(
ui.UISingle(
name='wml_endpoint',
datatype=str,
description='Endpoint to WML service where model is hosted',
tags=['TEXT'],
required=True))
inputs.append(
ui.UISingle(name='instance_id',
datatype=str,
description='Instance ID for WML model',
tags=['TEXT'],
required=True))
inputs.append(
ui.UISingle(name='deployment_id',
datatype=str,
description='Deployment ID for WML model',
tags=['TEXT'],
required=True))
inputs.append(
ui.UISingle(name='apikey',
datatype=str,
description='IBM Cloud API Key',
tags=['TEXT'],
required=True))
# define arguments that behave as function outputs
outputs = []
outputs.append(ui.UISingle(name='output_items', datatype=float))
return (inputs, outputs)
outputs = []
return (inputs, outputs)
def build_ui(cls):
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UIMultiItem(name='features',
datatype=float,
description="Data items to use as features"))
inputs.append(
ui.UIMultiItem(name='targets',
datatype=float,
description="Data items to use as targets"))
inputs.append(ui.UISingle(name='threshold', datatype=float))
outputs = []
outputs.append(
ui.UIFunctionOutMulti(name='predictions',
datatype=float,
cardinality_from='targets',
description='Output predictions'))
outputs.append(
ui.UIFunctionOutMulti(name='alerts',
datatype=bool,
cardinality_from='targets',
description='Alert outputs'))
return (inputs, outputs)
def build_ui(cls):
"""
Describe the Azure IoT connectivity
"""
from iotfunctions import ui
# define arguments that behave as function inputs
inputs = [
ui.UISingle(required=True,
datatype=str,
name='iot_hub_name',
description='Azure IoT Hub Name'),
ui.UISingle(required=True,
datatype=str,
name='policy_name',
description='Azure IoT Policy'),
ui.UISingle(required=True,
datatype=str,
name='consumer_group',
description='Azure IoT Consumer Group'),
ui.UISingle(required=True,
datatype=int,
name='partition_id',
description='Azure IoT Partition ID'),
ui.UISingle(required=True,
datatype=str,
name='access_key',
description='Azure IoT Secret Access Key'),
ui.UISingle(required=True,
datatype=str,
name='device_id',
description='Azure IoT Device ID'),
ui.UISingle(
required=True,
datatype=str,
name='date_field',
description=
'Field in the incoming JSON for event date (timestamp)',
default='date'),
ui.UISingle(
required=True,
datatype=str,
name='required_fields',
description=
'Fields in the incoming JSON that are required for the payload to be retained'
),
]
# define arguments that behave as function outputs
outputs = [ui.UIStatusFlag(name='amqp_preload_ok')]
return (inputs, outputs)
def build_ui(cls):
"""
Registration metadata
"""
# define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingle(name='csv_file',
datatype=str,
description='CSV File pattern (*.csv)',
tags=['TEXT'],
required=True))
inputs.append(
ui.UISingle(name='rebaseTS',
datatype=bool,
description='Rebase timestamps',
required=True))
# define arguments that behave as function outputs
outputs = []
outputs.append(ui.UIStatusFlag(name='output_item'))
return (inputs, outputs)
def build_ui(cls):
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UIMultiItem(name='input_items',
datatype=float,
description="Data items adjust",
output_item='output_items',
is_output_datatype_derived=True))
inputs.append(ui.UISingle(name='factor', datatype=float))
outputs = []
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.UISingle(
name='name',
datatype=str,
description='Name of person to greet'),
ui.UISingle(
name='token',
datatype=str,
description='install token')
]
outputs = [
ui.UIFunctionOutSingle(
name='output_col',
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='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):
# define arguments that behave as function inputs
from iotfunctions import ui
inputs = [
ui.UISingle(
name='source_entity_type_name',
datatype=str,
description=
"Name of the entity type that you would like to retrieve data from"
),
ui.UISingle(name='ts_interval',
datatype=int,
description="Timestamp fill Interval in seconds"),
ui.UISingle(
name='ts_lapse',
datatype=int,
description=
"Timestamp lapse in seconds, how far to look in the past for records"
)
]
# define arguments that behave as function outputs
outputs = [ui.UIStatusFlag(name='extend_entity_ok')]
return (inputs, outputs)
def build_ui(cls):
"""
Describe the OSIPi Server connectivity
"""
from iotfunctions import ui
# define arguments that behave as function inputs
inputs = [
ui.UISingle(required=True,
datatype=str,
name='osipi_host',
description='OSIPi server hostname'),
ui.UISingle(required=True,
datatype=int,
name='osipi_port',
description='OSIPi server host port'),
ui.UISingle(required=True,
datatype=str,
name='osipi_user',
description='OSIPi server userid'),
ui.UISingle(required=True,
datatype=str,
name='osipi_pass',
description='OSIPi server password'),
ui.UISingle(
required=True,
datatype=str,
name='date_field',
description=
'Field in the incoming JSON for event date (timestamp)',
default='date'),
ui.UISingle(required=True,
datatype=str,
name='parent_element_path',
description='OSIPi Parent Element Path'),
ui.UISingle(
required=True,
datatype=str,
name='interval',
description=
'Interpolation interval e.g. 10s, 1h, or blank for recorded data only'
)
]
# define arguments that behave as function outputs
outputs = [ui.UIStatusFlag(name='osipi_elements_preload_ok')]
return (inputs, outputs)
def build_ui(cls):
'''
Registration metadata
'''
#define arguments that behave as function inputs
inputs = []
inputs.append(
ui.UISingle(name='dummy_input',
datatype=str,
description='Any input'))
#define arguments that behave as function outputs
outputs = []
outputs.append(
ui.UIFunctionOutSingle(
name='output_item',
datatype=bool,
description='Returns a status flag of True when executed'))
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.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):
# define arguments that behave as function inputs
inputs = [
ui.UIMultiItem(name='features',
datatype=float,
description='Predictive features'),
ui.UISingle(
name='saved_model_name',
datatype=str,
description='Name of the model to use with '
'this forecaster. This model will be retrieved from model store'
)
]
# define arguments that behave as function outputs
outputs = [
ui.UIFunctionOutSingle(name='target',
datatype=float,
description='Predicted output')
]
return inputs, outputs
def parse_input_constants(constants):
"""
generate sqlalchemy Column from user defined columns (for UISingle constants only)
TODO: add support for UIMulti. Currently, it's not documented how to
:param constants: list of dicts; example:
```
[{
'name': 'sample_constant_name',
'datatype' : 'number',
'default': 0.3,
'description': 'optional'
# accepted datatypes: 'str'/'string, 'int'/'integer', 'number'/'float','datetime', 'bool'/'boolean'
}]
```
:return: ui_control constants accepted BasicCustomEntity
"""
ret_constants = []
for c in constants:
datatype, default, description = None, None, None
if 'datatype' in c:
datatype = python_type(c['datatype'])
if 'default' in c:
default = c['default']
if 'description' in c:
description = c['description']
if datatype is not None and default is not None and c[
'datatype'] == 'datetime':
default = validate_and_normalize_timestamp(default)
ret_constants.append(
ui.UISingle(name=c['name'],
description=description,
datatype=datatype,
default=default))
return ret_constants
def build_ui(cls):
"""
Describe the OSIPi Server connectivity
"""
from iotfunctions import ui
# define arguments that behave as function inputs
inputs = [
ui.UISingle(required=True,
datatype=str,
name='osipi_host',
description='OSIPi server hostname'),
ui.UISingle(required=True,
datatype=int,
name='osipi_port',
description='OSIPi server host port'),
ui.UISingle(required=True,
datatype=str,
name='osipi_user',
description='OSIPi server userid'),
ui.UISingle(required=True,
datatype=str,
name='osipi_pass',
description='OSIPi server password'),
ui.UISingle(required=True,
datatype=str,
name='name_filter',
description='OSIPi Point name filter'),
ui.UIParameters(
required=True,
name='points_attr_map',
description='OSIPi Points names to attribute names map'),
ui.UISingle(
required=True,
datatype=str,
name='date_field',
description=
'Field in the incoming JSON for event date (timestamp)',
default='date'),
# ui.UISingle(required=True, datatype=str, name='required_fields', description='Fields in the incoming JSON that are required for the payload to be retained'),
]
# define arguments that behave as function outputs
outputs = [ui.UIStatusFlag(name='osipi_preload_ok')]
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):
'''
Registration metadata
'''
# define arguments that behave as function inputs
inputs = []
inputs.append(ui.UISingle(name='username',
datatype=str,
description='Username for Building Insignts Instance',
tags=['TEXT'],
required=True
))
inputs.append(ui.UISingle(name='password',
datatype=str,
description='Password for Building Insignts Instance',
tags=['TEXT'],
required=True
))
inputs.append(ui.UISingle(name='request',
datatype=str,
description='HTTP Request type',
values=['GET','POST','PUT','DELETE']
))
inputs.append(ui.UISingle(name='url',
datatype=str,
description='request url use internal_test',
tags=['TEXT'],
required=True
))
inputs.append(ui.UISingle(name='headers',
datatype=dict,
description='request url',
required = False
))
inputs.append(ui.UISingle(name='body',
datatype=dict,
description='request body',
required=False
))
# define arguments that behave as function outputs
outputs=[]
outputs.append(ui.UIStatusFlag(name='output_item'))
return (inputs, outputs)
