com.inductiveautomation.factorypmi.plugins.reporting.components.rowselector

Class DiscreteFilter

java.lang.Object

com.inductiveautomation.factorypmi.plugins.reporting.components.rowselector.AbstractFilter

com.inductiveautomation.factorypmi.plugins.reporting.components.rowselector.DiscreteFilter

All Implemented Interfaces:

Filter

public class DiscreteFilter
extends AbstractFilter

Field Summary

Fields inherited from class com.inductiveautomation.factorypmi.plugins.reporting.components.rowselector.AbstractFilter

columnIndex, columnName, datasetInspected, icon, iconPath, isReverseSort

Constructor Summary

Constructors

Constructor and Description
DiscreteFilter()

Method Summary

Modifier and Type	Method and Description
java.lang.Comparable	classifyObject(java.lang.Object obj)
Filter	copyFilter() Creates a copy of this filter.
int	getDistributionEstimate() Given an evenly distributed dataset, how many different classification keys should be expected from this Filter? For instance, a Month filter would return 12, a Day-of-week filter would return 7, while a Year filter would simply return some guess.
java.lang.String	getFormatString()
void	invalidateCache() Called when the dataset being passed to classify has changed.
void	setFormatString(java.lang.String formatString)
java.lang.String	toString()

Methods inherited from class com.inductiveautomation.factorypmi.plugins.reporting.components.rowselector.AbstractFilter

classify, copyProps, getColumnName, getIconPath, isReverseSort, setColumnName, setIconPath, setIsReverseSort

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

DiscreteFilter

public DiscreteFilter()

Method Detail

classifyObject

public java.lang.Comparable classifyObject(java.lang.Object obj)

Specified by:

classifyObject in class AbstractFilter

getDistributionEstimate

public int getDistributionEstimate()

Description copied from interface: Filter

Given an evenly distributed dataset, how many different classification keys should be expected from this Filter? For instance, a Month filter would return 12, a Day-of-week filter would return 7, while a Year filter would simply return some guess. This isn't critical, it is used to try and give arrays reasonable initial sizes so they don't have to re-allocate frequently.

Specified by:

getDistributionEstimate in interface Filter

Specified by:

getDistributionEstimate in class AbstractFilter

Returns:

copyFilter

public Filter copyFilter()

Description copied from interface: Filter

Creates a copy of this filter. Used for the customizer

Returns:

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

invalidateCache

public void invalidateCache()

Description copied from interface: Filter

Called when the dataset being passed to classify has changed. This is used for Filters who do some work up front on the DataSet the first time classify is called, such as calculating the column index that they are working on.

Specified by:

invalidateCache in interface Filter

Overrides:

invalidateCache in class AbstractFilter

getFormatString

public java.lang.String getFormatString()

setFormatString

public void setFormatString(java.lang.String formatString)