Create Simulated Eventlog - Revision history

MarHink: /* Transformation: event_resource_limits */

2025-08-22T14:22:18Z

Transformation: event_resource_limits

← Older revision		Revision as of 14:22, 22 August 2025
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	****'''value_path''': An array of property names to traverse into the root object.		****'''value_path''': An array of property names to traverse into the root object.

	=== Transformation: ~~event_resource_limits~~ ===		=== Transformation: enforce_resource_limits ===
	Using given input data, this transformation generates a new event log which does not exceed the concurrency limitations of specified column values.		Using given input data, this transformation generates a new event log which does not exceed the concurrency limitations of specified column values.

MarHink: /* Transformation: modify_flow_durations */

2025-08-22T13:50:46Z

Transformation: modify_flow_durations

← Older revision		Revision as of 13:50, 22 August 2025
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	* '''flows''': Flows to transform. Contains an array of flow transformation configuration objects. Each object defines transformations performed on one flow type defined by starting and ending column values. Supports the following properties:		* '''flows''': Flows to transform. Contains an array of flow transformation configuration objects. Each object defines transformations performed on one flow type defined by starting and ending column values. Supports the following properties:
	** '''delete''': Same as delete_from.		** '''delete''': Same as delete_from.
	** '''delete_from''': If defined, specifies whether the "from event" of the matched flow should be removed after applying the operation ~~(if defined)~~.		** '''delete_from''': If defined, specifies whether the "from event" of the matched flow should be removed after applying the operation.
	** '''delete_to''': If defined, specifies whether the "to event" of the matched flow should be removed after applying the operation ~~(if defined)~~.		** '''delete_to''': If defined, specifies whether the "to event" of the matched flow should be removed after applying the operation.
	** '''from''': Column value starting the flow.		** '''from''': Column value starting the flow.
	*** If this and from_input are both undefined, any starting value is accepted.		*** If this and from_input are both undefined, any starting value is accepted.

Jaakko.knuutinen: /* Removed "_marhink" from the end of PredictionProcedureName value. Previous value was: "qprpa_sp_prediction_marhink" which caused an error when running the script. */

2025-04-15T07:07:35Z

Removed "_marhink" from the end of PredictionProcedureName value. Previous value was: "qprpa_sp_prediction_marhink" which caused an error when running the script.

← Older revision		Revision as of 07:07, 15 April 2025
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	let targetProject = Project;		let targetProject = Project;
	_system.ML.ApplyTransformations(#{		_system.ML.ApplyTransformations(#{
	"PredictionProcedureName": "~~qprpa_sp_prediction_marhink~~",		"PredictionProcedureName": "qprpa_sp_prediction",
	"Name": "My simulation model - automate", // Name of the PA model to generate to the target project.		"Name": "My simulation model - automate", // Name of the PA model to generate to the target project.
	"SourceModel": sourceModel, // Snowflake-based PA model used for training the prediction model.		"SourceModel": sourceModel, // Snowflake-based PA model used for training the prediction model.

MarHink: /* Example */

2024-11-15T15:20:52Z

Example

← Older revision		Revision as of 15:20, 15 November 2024
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	"value": 0.0		"value": 0.0
	},		},
	"delete": ~~True~~		"delete": true
	}]		}]
	}		}

MarHink: /* Transformation: generate */

2024-11-15T15:19:50Z

Transformation: generate

← Older revision		Revision as of 15:19, 15 November 2024
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	Generate a new event log using the configured model [[Create Predicted Eventlog\|prediction generation parameters (GenerationConfiguration)]].		Generate a new event log using the configured model [[Create Predicted Eventlog\|prediction generation parameters (GenerationConfiguration)]].

			==== Supported parameters ====
	Supports all the same parameters as those supported by model prediction generation configuration.		Supports all the same parameters as those supported by model prediction generation configuration.

MarHink: /* Creating a simulation model that deletes specific events */

2024-11-15T15:08:45Z

Creating a simulation model that deletes specific events

← Older revision		Revision as of 15:08, 15 November 2024
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	1. Create the following example expression script (e.g., with name "'''Create simulation model''' '''- delete events'''"):<syntaxhighlight lang="typescript">		1. Create the following example expression script (e.g., with name "'''Create simulation model''' '''- delete events'''"):<syntaxhighlight lang="typescript">
	let sourceModel = ProjectByName("<project name>").ModelByName("<model name>");		let sourceModel = ProjectByName("<project name>").ModelByName("<model name>");
	~~let eventTypeColumnName = sourceModel.EventsDataTable.ColumnMappings["EventType"];~~
	let flowFromEventType = "<from event type of a flow to modify>", flowToEventType = "<to event type of a flow to modify>";		let flowFromEventType = "<from event type of a flow to modify>", flowToEventType = "<to event type of a flow to modify>";

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	"Transformations": [#{ // Transformation configurations.		"Transformations": [#{ // Transformation configurations.
	"type": "modify_flow_durations",		"type": "modify_flow_durations",
	"column": ~~eventTypeColumnName~~,		"column": sourceModel.EventsDataTable.ColumnMappings["EventType"],
	"flows": [#{		"flows": [#{
	"from": flowFromEventType,		"from": flowFromEventType,

MarHink at 15:03, 15 November 2024

2024-11-15T15:03:37Z

← Older revision		Revision as of 15:03, 15 November 2024
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	Generated event log.		Generated event log.

	==== Example: ====		==== Example ====
	<syntaxhighlight lang="json">		<syntaxhighlight lang="json">
	#{		#{

MarHink: /* Create simulation script in QPR ProcessAnalyzer */

2024-11-15T14:58:58Z

Create simulation script in QPR ProcessAnalyzer

@@ Line 5: / Line 5: @@
 == Create simulation script in QPR ProcessAnalyzer ==
 . Create the following example expression script (e.g., with name "'''Create simulation model''' '''- delete events'''"):<syntaxhighlight lang="typescript">
 let sourceModel = ProjectByName("<project name>").ModelByName("<model name>");
@@ Line 36: / Line 39: @@
 * '''<project name>''': Name of the project in which the source model is located.
 * '''<model name>''': Name of the model to be used as source model. This data in this source model will be used as source data to be modified by the simulation transformations.
-* '''<from event type of a flow to modify>''': .From-event type name of flows from which the from-event is to be deleted.
+* '''<from event type of a flow to modify>''': From-event type name of flows from which the from-event is to be deleted.
-* '''<to event type of a flow to modify>''': .To-event type name of flows from which the from-event is to be deleted.
+* '''<to event type of a flow to modify>''': To-event type name of flows from which the from-event is to be deleted.
 == Configure simulation ==

MarHink: /* Transformation: resources_to_roles */

2024-11-15T14:44:17Z

Transformation: resources_to_roles

← Older revision		Revision as of 14:44, 15 November 2024
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	=== Transformation: resources_to_roles ===		=== Transformation: resources_to_roles ===
	~~Extract, for every value of a specified~~ column, ~~the maximum number of concurrent cases~~ in given event log that ~~have that value~~.		Performs "organization mining" by grouping together column values (e.g., resources) that are used in similar fashion in given event log. E.g., resources that are often present in similar set of activities.

	==== Supported parameters ====		==== Supported parameters ====

	* '''resource_column''':		* '''resource_column''': The name of the column containing names of resources.
	** The name of the column ~~representing~~ the resources ~~whose maximum concurrent case usages are~~ to be ~~calculated~~.		* '''resource_limits''': Contains an object dictionary containing resource names with their maximum concurrent usages.
			** If set, when building role_limits output, these values will be summed for each resource into the resulting role-based usage limit.
			** If not set, each resource in a role will be counted as one, when calculating the role_limits.
			* '''role_column''': The name of the column to be created and whose values will indicate the role in which the resource belongs to.
			* '''role_name_template''': If set, specifies the name template used for role names. In this template, %d will be replaced by a numeric value starting from 1.
			** The default value is "Role %d".
			* '''similarity_threshold''': The minimum value of Pearson correlation coefficient calculated between two resources in order for them to be considered as having the same role.
			** The default value is 0.7

	==== Inputs ====		==== Inputs ====
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	==== Outputs ====		==== Outputs ====

	* ~~max_resource_usages~~:		* Transformed event log.
	** ~~A dictionary~~ object containing resource names as ~~keys (unique resource_column~~ values) and ~~their~~ maximum usage ~~in the event log~~.		* Result dictionary object containing the following properties:
			** '''resource_column''': The name of the column containing names of resources.
			** '''resource_to_role_map''': An object containing resource names as property names and role names as value.
			** '''role_column''': The name of the generated column whose values will indicate the role in which the resource belongs to.
			** '''role_limits''': An object containing role names as property names and maximum usage for that role as value.

	==== Example ====		==== Example ====
			<syntaxhighlight lang="json">
			#{
			"type": "resources_to_roles",
			"resource_column": "SAP_User",
			"role_column": "Role",
			"role_name_template": "Role %d",
			"input": #{
			"resource_limits": "max_resource_usages"
			}
			}
			</syntaxhighlight>

MarHink: /* Supported parameters */

2024-11-15T14:38:52Z

Supported parameters

← Older revision		Revision as of 14:38, 15 November 2024
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	** '''from_input''': If defined, specifies the name of the transformation-level parameter from which the actual column value starting the flow is read from.		** '''from_input''': If defined, specifies the name of the transformation-level parameter from which the actual column value starting the flow is read from.
	*** Overrides the value defined in from-parameter.		*** Overrides the value defined in from-parameter.
	** '''operation''': Specifies the actual flow duration modification operation to perform as value modification configuration object where the value is the duration in seconds.		** '''operation''': Specifies the actual flow duration modification operation to perform as value modification configuration object where the value is the duration in seconds. Supports the following properties:
			*** '''probability''': If defined, specifies the percentage probability of applying the operation to any matching instance of the flow.
			**** Value should be a numeric value between 0 and 1.0.
			**** This probability applies only to this operation.
			**** The default value is 1.0.
			*** '''type''': Type of the operation. The following types are supported:
			**** '''add''': Sets the value to be the current value plus the number specified by the value.
			**** '''multiply''': Sets the value to be the current value multiplied by the number specified by the value.
			**** '''set_value''': Sets the value to be exactly the number specified by the value.
			*** '''value''': Value used by the operation.
	** '''probability''': If defined, specifies the percentage probability of applying the operation to any matching instance of the flow.		** '''probability''': If defined, specifies the percentage probability of applying the operation to any matching instance of the flow.
	*** Value should be a numeric value between 0 and 1.0.		*** Value should be a numeric value between 0 and 1.0.
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	=== Transformation: modify_values ===		=== Transformation: modify_values ===
	~~Extract~~, ~~for every value of a specified column~~, the ~~maximum number of concurrent cases in given event log that have that value~~.		Modify values of an object given as input (e.g., object generated by extract_max_resource_usages).

			Due to the required inputs, this transformation can't be the first transformation to perform.

	==== Supported parameters ====		==== Supported parameters ====

	* '''~~resource_column~~''':		* '''values''': Array of value configuration objects. Each object supports the following properties:
	** The name of the ~~column representing~~ the ~~resources whose maximum concurrent case usages~~ are to be ~~calculated~~.		** '''input''': Name of the result to modify, where the result is the output of the previous transformation.
			** '''input_key_from''': If defined, specifies the the name of the property of a input object whose value contains the name of the property whose value is to be modified.
			** '''input_key_value_path''': If input_key_from is defined and is represented as an object, this configuration should specify an array of property names to traverse into the object.
			*** The value at the end of this path will be used as the name of the property to modify in the input.
			** '''operation''': Specifies the actual value modification operation to perform as value modification configuration object. Supports the following properties:
			*** '''probability''': If defined, specifies the percentage probability of applying the operation to any matching instance of the flow.
			**** Value should be a numeric value between 0 and 1.0.
			**** This probability applies only to this operation.
			**** The default value is 1.0.
			*** '''type''': Type of the operation. The following types are supported:
			**** '''add''': Sets the value to be the current value plus the number specified by the value.
			**** '''multiply''': Sets the value to be the current value multiplied by the number specified by the value.
			**** '''set_value''': Sets the value to be exactly the number specified by the value.
			*** '''value''': Value used by the operation.

	==== Inputs ====		==== Inputs ====
	~~Event log to operate on~~.		Output of the previous transformation operation.

	==== Outputs ====		==== Outputs ====
			The same output as the previous performed transformation, except with the specified value modifications applied.
	* max_resource_usages:
	** A dictionary object containing resource names as ~~keys (unique resource_column values) and their maximum usage in~~ the ~~event log~~.

	==== Example ====		==== Example ====
			<syntaxhighlight lang="json">
			#{
			"type": "modify_values",
			"values": [#{
			"input": "role_limits",
			"input_key_from": "resource_to_role_map",
			"input_key_value_path": ["Tina"],
			"operation": #{
			"type": "multiply",
			"value": 0.5
			}
			}]
			}
			</syntaxhighlight>

	=== Transformation: resources_to_roles ===		=== Transformation: resources_to_roles ===