Adobe plug-in: cleanStr

The cleanStr plug-in removes or replaces all unnecessary characters from a string, including HTML tag characters, extra whitespaces, tabs, and newline/carriage returns. It also replaces left/right single quotes with straight single quotes ('). Adobe recommends using this plug-in if you want to remove unnecessary characters from variable values and the ‘Clean text’ feature in Adobe Experience Platform Data Collection does not fulfill your implementation needs. This plug-in is not necessary if the collected data does not contain unnecessary characters, or if the ‘Clean text’ feature in Adobe Experience Platform Data Collection is sufficient.

Install the plug-in using the Web SDK or Web SDK extension

This plug-in is not yet supported for use within the Web SDK.

Install the plug-in using the Adobe Analytics extension

Adobe offers an extension that allows you to use most commonly-used plug-ins with Adobe Analytics.

1. Log in to Adobe Experience Platform Data Collection using your AdobeID credentials.
2. Click the desired tag property.
3. Go to the Extensions tab, then click on the Catalog button
4. Install and publish the Common Analytics Plugins extension
5. If you haven’t already, create a rule labeled “Initialize Plug-ins” with the following configuration:
   • Condition: None
   • Event: Core – Library Loaded (Page Top)
6. Add an action to the above rule with the following configuration:
   • Extension: Common Analytics Plugins
   • Action Type: Initialize cleanStr
7. Save and publish the changes to the rule.

Install the plug-in using custom code editor

If you do not want to use the Common Analytics Plugins plug-in extension, you can use the custom code editor.

1. Log in to Adobe Experience Platform Data Collection using your AdobeID credentials.
2. Click on the desired property.
3. Go to the Extensions tab, then click the Configure button under the Adobe Analytics extension.
4. Expand the Configure tracking using custom code accordion, which reveals the Open Editor button.
5. Open the custom code editor and paste the plug-in code provided below into the edit window.
6. Save and publish the changes to the Analytics extension.

Install the plug-in using AppMeasurement

Copy and paste the following code anywhere in the AppMeasurement file after the Analytics tracking object is instantiated (using s_gi). Preserving comments and version numbers of the code in your implementation helps Adobe with troubleshooting any potential issues.

/******************************************* BEGIN CODE TO DEPLOY *******************************************/
/* Adobe Consulting Plugin: cleanStr v2.0 (No Prerequisites Required) */
function cleanStr(str){var a=str;if("-v"===a)return{plugin:"cleanStr",version:"2.0"};a:{if("undefined"!==typeof window.s_c_il){var b=0;for(var c;b<window.s_c_il.length;b++)if(c=window.s_c_il[b],c._c&&"s_c"===c._c){b=c;break a}}b=void 0}"undefined"!==typeof b&&(b.contextData.cleanStr="2.0");if("string"===typeof a){a=a.replace(/<\/?[^>]+(>|$)/g,"");a=a.trim();a=a.replace(/[\u2018\u2019\u201A]/g,"'");a=a.replace(/\t+/g,"");for(a=a.replace(/[\n\r]/g," ");-1<a.indexOf("  ");)a=a.replace(/\s\s/g," ");return a}return""}
/******************************************** END CODE TO DEPLOY ********************************************/

Use the plug-in

The cleanStr function uses the following arguments:

• str (required, string): The value that you want to clean HTML encoding, extra whitespace, tabs, or other unnecessary characters.

The function returns the value of the str argument with all unnecessary characters removed.

Examples

// Returns the value "this is a messystring". Note that both tabs and extra spaces are present in the original string.
// Multiple spaces are reduced to one, while tabs are omitted entirely.
s.eVar1 = "  this  is a      messy  string    ";
s.eVar1 = cleanStr(s.eVar1)

// This function call does not do anything because the code does not assign the returned value to a variable.
s.eVar1 = "  this  is a      messy  string    ";
cleanStr(s.eVar1);

Version History

2.0 (March 19, 2021)

• Added version number as context data.

1.0 (April 15, 2018)

• Initial release.

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