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An Introduction and Overview of Navigate View PLM Apps/Widgets for Navigate users for Windchill PDMLink.     For full-sized viewing, click on the YouTube link in the player controls.   Visit the Online Success Guide to access our Expert Session videos at any time as well as additional information about ThingWorx training and services.
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A student in the Axeda Groovy course had some good questions. Instead of answering via email, I thought I'd answer here, so we could share the knowledge. Domain Objects - How can I customize or extend Axeda provided domain objects? (Eg., I need to store whether a user is external or internal user) How can I achieve this? This is a perfect use case for the Axeda Extended Data API. Documentation on the API can be found in the Axeda Platform v1 API Developer's Reference Guide. A good, "Getting Started," topic is available on Axeda Mentor - Getting Started With the Axeda Extended Data API. To customize/extend/decorate Axeda-provided domain objects, use Extended Objects. Extended Objects can be thought of in the abstract as a collection of custom database table rows. The analogy isn't perfect, but it helps with understanding. The use case in the question is very common. Extended Objects can stand on their own, or they can be associated with an Axeda domain object with the setInternalID() method. In the following sample code, we "decorate" an Axeda User object with two new fields, isExternalUser and companyID: private void updateAdditionalFieldsForUser(User user, boolean isExternalUser, String companyID) {   // GET OBJECT TYPE - This example assumes the ExtendedObjectType has already been created   ExtendedObjectType extObjectType = extendedObjectService.findExtendedObjectTypeByClassname("com.axeda.drm.sdk.user.User")   // GET PROPERTY TYPES   PropertyType isExternalUserPropertyType = findOrCreatePropertyType(extObjectType, "IS_EXTERNAL_USER")   PropertyType companyIdPropertyType = findOrCreatePropertyType(extObjectType, "COMPANY_ID")      /* GET THE EXTENDED OBJECT   * Note - the example provides a findExtendedObject() method that searches by INTERNAL ID. This linkage via the internal ID   * associates a domain object to an ExtendedObject, allowing us to "decorate" it with custom attributes   */   ExtendedObject extObject = findExtendedObject(extObjectType, user.id.value)   if (extObject == null)   {     extObject = new ExtendedObject()     extObject.setExtendedObjectType(extObjectType)     extObject.setInternalObjectId(user.id.value)     extObject.addProperty(createExtendedProperty(isExternalUserPropertyType, isExternalUser.toString()))     extObject.addProperty(createExtendedProperty(companyIdPropertyType, companyID))     extendedObjectService.createExtendedObject(extObject)   }   else   {     addOrUpdateExtendedProperty(extObject, isExternalUserPropertyType, "IS_EXTERNAL_USER", isExternalUser.toString())     addOrUpdateExtendedProperty(extObject, companyIdPropertyType, "COMPANY_ID", companyID)     extendedObjectService.updateExtendedObject(extObject)   } }  /**  * Adds or Updates an extended property.  *  * @param extendedObject the extended object to associate with the property  * @param propertyType the type of the property  * @param propertyName the name of the property  * @param propertyValue the value of the property  */ private void addOrUpdateExtendedProperty(ExtendedObject extendedObject, PropertyType propertyType, String propertyName, String propertyValue) {   Property extendedProperty = extendedObject.getPropertyByName(propertyName)   if (extendedProperty == null)   {   extendedProperty = createExtendedProperty(propertyType, propertyValue)   extendedObject.addProperty(extendedProperty)   }   else   {   extendedProperty.setValue(propertyValue)   } }  /**  * Retrieves and returns the extended object with the given type and internal id.  *  * @param extObjectType the type of the desired external object  * @param internalObjectId the internal id of the desired extended object  * @return the extended object matching the given details or <code>null</code> in case there's no match  */ private ExtendedObject findExtendedObject(ExtendedObjectType extObjectType, Long internalObjectId) {   ExtendedObjectSearchCriteria searchCriteria = new ExtendedObjectSearchCriteria()   searchCriteria.setExtendedObjectTypeId(extObjectType.getId())   searchCriteria.setInternalObjectId(internalObjectId)    List<ExtendedObject> extObjects = extendedObjectService.findExtendedObjects(searchCriteria, -1, 0, "name")    if (!extObjects?.isEmpty())   {    return extObjects[0]   }   return null }  /**  * Gets a property type given its name and the associated extended object type.  * If it cannot find the property type it will create it.  *  * @param extendedObjectType the associated extended object type for the property type  * @param propertyTypeName the property type name  * @return the property type  */  private PropertyType findOrCreatePropertyType(ExtendedObjectType extendedObjectType, String propertyTypeName)  {     PropertyType propertyType = extendedObjectType.getPropertyTypeByName(propertyTypeName)     if (propertyType == null)     {       propertyType = new PropertyType()       propertyType.setDataType(PropertyDataType.String)       propertyType.setName(propertyTypeName)       propertyType.setExtendedObjectType(extendedObjectType)       extendedObjectService.createPropertyType(propertyType)       extendedObjectType.addPropertyType(propertyType)     }     return propertyType  } By using Extended Objects, and associating them with Axeda domain objects via an internal ID, we can decorate/extend/customize those domain objects with use-case-specific attributes.
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  Use the C SDK to build an app that connects to ThingWorx with persistent bi-directional communication   Guide Concept This project will introduce more complex aspects of the ThingWorx C SDK and help you to get started with development.  Following the steps in this this guide, you will be ready to develop your own IoT application with the ThingWorx C SDK.  We will teach you how to use the C programming language to connect and build IoT applications to be used with the ThingWorx Platform.   You'll learn how to Establish and manage a secure connection with a ThingWorx server, including SSL negotiation and connection maintenance Enable easy programmatic interaction with the Properties, Services, and Events that are exposed by Entities running on a ThingWorx server Create applications that can be directly used with your device running the C programming language Basic concepts of the C Edge SDK How to use the C Edge API to build a real-world application How to utilize resources provided in the Edge SDK to help create your own application NOTE: This guide's content aligns with ThingWorx 9.3. The estimated time to complete ALL 3 parts of this guide is 60 minutes.   Step 1: Completed Examples Download the completed files for this tutorial: ThingWorx C Edge SDK Sample Files.zip.  This tutorial will guide you through working with the C SDK on differing levels. Utilize this file to see a finished example and return to it as a reference if you become stuck creating your own fully fleshed out application.  Keep in mind, this download uses the exact names for Entities used in this tutorial. If you would like to import this example and also create Entities on your own, change the names of the Entities you create.   Step 2: Environment Setup In order to compile C code, you need a C compiler and the ThingWorx C Edge SDK available in the PTC Support download site.  It will be helpful to have CMake installed on your system. CMake is a build tool that will generate make or project files for many different platforms and IDEs.   Operating System      Notes Windows You will need a 3rd party compiler such as MinGW GCC, Cygwin GCC or you can follow these Microsoft instructions to download and use the Microsoft Visual C++ Build Tool. Mac Download the Apple Developer Tools. Linux/Ubuntu A compiler is included by default.   NOTE: You can use CMake, version 2.6.1 or later to build projects or make files, which then are used to build the applications that you develop with the C SDK.     Before you can begin developing with the ThingWorx C SDK, you need to generate an Application Key and modify the source code file. You can use the Create an Application Key guide as a reference.   Modify Source File Extract the files from the C SDK samples zip file. At the top level of the extracted files, you will see a folder called examples. This directory provides examples of how to utilize the C SDK. Open a terminal, go to your workspace, and create a new directory. You can also just switch to the unzipped directory in your system. After you've created this directory in your workspace, copy the downloaded files and folders into your new directory. You can start creating your connection code or open the main.c source file in the examples\SteamSensor\src directory for an example. Operating System      Code Linux/Ubuntu gedit main.c OR vi main.c Mac open –e main.c Windows start main.c Modify the Server Details section at the top with the IP address for your ThingWorx platform instance and the Application Key you would like to use. Change the TW_HOST definition accordingly. Change the TW_PORT definition accordingly. Change the TW_APP_KEY definition to the keyId value saved from the last step.         /* Server Details */ #define TW_HOST "https://pp-XXXXXXXXX.devportal.ptc.i" #define TW_PORT 80 #define TW_APP_KEY "e1d78abf-cfd2-47a6-92b7-37ddc6dd34618"​         NOTE: Using the Application Key for the default Administrator is not recommended. If administrative access is absolutely necessary, create a User and place the user as a member of Admins.   Compile and Run Code To test your connection, you will only need to update the main.c in the SteamSensor example folder. CMake can generate Visual Studio projects, make build files or even target IDEs such as Eclipse, or XCode. CMake generates a general description into a build for your specific toolchain or IDE.   Inside the specific example folder you would like to run, ie SteamSensor. Create a directory to build in, for this example call it bin. mkdir bin  cd bin Run the CMake command listed below. This assumes CMake is already on your PATH.         cmake ..​           CMake has now produced a set of project files which should be compatible with your development environment. Operating System        Command                                            Notes Unix make A set of make files Windows msbuild tw-c-sdk.sln /t:build A visual studio solution   NOTE: CMake does its best to determine what version of Visual Studio you have but you may wish to specify which version to use if you have more than one installed on your computer. Below is an example of forcing CMake to use a specific version of Visual Studio: cmake -G "Visual Studio 15 2017" .. If your version of Visual Studio or other IDE is unknown, use cmake -G to see a list of supported IDEs.   You also have the alternative of opening the tw-c-sdk.sln from within Visual Studio and building in this IDE.   NOTE: By default, CMake will generate a build for the creation of a release binary. If you want to generate a debug build, use the command:           cmake -DBUILD_DEBUG=ON ..           Once your build completes you will find the build products in the CMake directory (see example below). From here, open the project in your IDE of choice.   NOTE: You should receive messages confirming successful binding, authentication, and connection after the main.c file edits have been made.   Operating System Files Description Unix ./bin/src/libtwCSdk_static.a  Static Library Unix ./bin/src/libtwCSdk.so  Shared Library Unix ./bin/examples/SteamSensor/SteamSensor   Sample Application Windows .\bin\src\<Debug/Release>\twCSdk_static.lib  Static Library Windows .\bin\src\<Debug/Release>\twCSdk.dll  Shared Library Windows .\bin\examples\<Debug/Release>\SteamSensor\SteamSensor.exe  Sample Application   Click here to view Part 2 of this guide.  
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  The IoT Enterprise Deployment Center’s goal is to create and share knowledge around the best practices for architecting, designing, and deploying successful, enterprise-scale Thingworx IoT Solutions.    To accomplish this goal, the EDC team takes a “real world” approach, using simulated IoT assets and users to benchmark the capabilities of different Thingworx deployment configurations. First, each implementation is pushed to its limit in an effort to establish real-world baselines, metrics which can be used to help customers determine which architecture choices will work for their custom needs. Then, each implementation is pushed beyond its limits, providing useful insight into where and why things fail, and illuminating potential implementation changes which could push the boundaries further.   Through the simulations testing to come, the EDC will be publishing the resulting benchmarks for all to see! These benchmarks will include details on implementation goals and performance metrics for different stages of deployment. Additionally, best-practice articles which illustrate how to deploy the different architectural components (those referenced within the benchmarks) will also be posted, highlighting the optimal approach to integrating everything into the Thingworx platform.   Stay tuned to see more about just how versatile the ThingWorx Platform can be! We look forward to discussing these findings as they are published right here on the PTC Community. 
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This Expert Session will provide you with an in depth explanation behind how Signals are calculated in ThingWorx Analytics, what purpose they serve, and why we use them.  Some basic mathematical concepts are discussed so viewers will have a better idea of how ThingWorx Analytics operates behind the scenes.     For full-sized viewing, click on the YouTube link in the player controls.   Visit the Online Success Guide to access our Expert Session videos at any time as well as additional information about ThingWorx training and services.
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Disclaimer: This post does of course not express any political views.   Pie Chart Coloring   In ThingWorx Pie Charts use a default color schema based on the DefaultChartStyle Definitions. These schemas are using fixed numbering and coloring systems, e.g. 1 is blue, 2 is green, 3 is red and so on. All Pie Charts will be rendered with these colors in the same order, no matter which data the chart is using. Visualization of data with the default colors might not necessarily help in creating an easy to read chart.   Just take a look at the following example with the default color schema. Let's just take political parties - as they are usually associated with a distinct color - to illustrate how the default color schema will fail depending on the data displayed.         In the first example, just by sheer coincidence the colors are perfectly matching the parties. When introducing a new party to the pool suddenly the blues are rendered green and the yellows rendered light-blue etc. This can be quite confusing, especially on election night 😉   Custom Color Schema   PoliticalParties Thing   To test a custom color schema, we first need to create a new Thing: PoliticalParties as a GenericThing Add a dataset property with the following PoliticalParties DataShape.         Save the Thing and set the InfoTable to:   Key Value The Purples 20 The Blues 20 The Greens 20 The Reds 20 The Yellows 20 Others 20   Number values don't actually matter too much, as the Pie Chart will automatically distribute them according to their percentage.   PoliticalParties Mashup   Create a new Mashup and add a PieChart to the canvas. Bind the PoliticalParties > GetPropertyValues > dataset to the Data input of the Widget. Ensure to set the LabelField to key and the ValueField to value for a correct mapping.     Save the Mashup and preview it.   It should show a non-matching color for each party listed in the InfoTable.   Custom Styles and States   Create new custom Style Definitions for each political party. As the Pie Chart is only using the Background Color other properties can stay on the default. I chose to go with a more muted version of the colors to make the chart easier to look at.         With the newly defined colors we can now generate a new State Definition as follows:       The States allow to evaluate the key-Strings in the Thing's InfoTable and assign a Style Definition depending on the actual value. In this definition we map a color schema based on the InfoTable's key-value to create a 1:1 mapping for the Strings.   This means, no matter where a certain party is positioned in the chart it will be tinted with its associated color.   Refining the Mashup   Back in the Mashup, select the PieChart. In the ColorFormat property choose the newly created State Definition.     Save the Mashup and preview it. With the States and Styles applies, colors are now displayed correctly.       Even when changing positions and numbers in the original InfoTable of the PoliticalParties Thing, the chart now considers the mapping of Strings and still displays the colors correctly.  
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  Step 11: Users   Access to functions and information on the ThingWorx Foundation server is controlled by Users. The REST API can be used to create, list, and delete Users.   Get Usernames of all Users   The REST API exposes the ability to retrieve collections of Entities so that a UI can be dynamically updated with current data.   Required Parameters   AppKey created by your Foundation server Request   Construct the URL. Include the hostname and authentication credentials for your specific ThingWorx server as described below. The Usernames of all Users can be returned by making a GET request to this endpoint: 〈Server IP:port〉/Thingworx/Users Authenticate Request. All API requests to the ThingWorx server must be authenticated either with a username and password or with an appKey. For this example we will authenticate by passing the appKey as a URL query string parameter. The parameter appKey is recognized by the ThingWorx server as an authentication credential in requests, it can be passed either as a URL query string parameter .../CreateThing?appKey=64b87... , or as request header appKey: 64b87... Send request parameters. Other than authentication, no other parameters are used in this GET request. Response   It is possible for the content to be returned in four different formats by sending an Accept header with the request.   Desired Response Type  Accept Header Values JSON application/json XML text/xml HTML text/html (or omit Accept Header) CSV text/csv   HTTPie example:   http -v -j http://52.201.57.6/Thingworx/Users appKey==64b879ae-2455-4d8d-b840-5f5541a799ae Accept:text/csv       Step 12: Troubleshooting   You should expect to get back the status code of 200 - OK either with or without content. In the case of an error, you will receive an error message. You can use the following table to diagnose the issue.   Response Code Definition  401 - Unauthorized appKey is incorrect or missing 403 - Forbidden Content-Type request header is not set to application/json Sometimes returned instead of a 404 A Property with that name already exists on the platform 404 - Not Found Incorrect URL or API endpoint Thing or Property has not been created Incorrect ThingTemplate name Required parameter missing from request 405 - Invalid Request Incorrect request verb; for example a GET was used instead of PUT or POST 406 - Not Acceptable Invalid JSON in PUT or POST request Thing [ Thing name ] already exists: A Thing with that name already exists on the platform 500 - Internal Server Error Content-Type request header is not set for a service execution POST, required even without a POST body Content-Type request header is not set for DELETE request, required despite the fact that DELETE does not send any content 503 - Service Unavailable Thing [] is not running RestartThing endpoint must be called Thing [] is not enabled EnableThing endpoint must be called       Step 13: Authentication Tags   There are different ways to authorize requests.   AppKey in HTTP Request Header   We recommend you place the appKey in the HTTP request header rather than passing the appKey as a URL parameter. This prevents the appKey from being written into server log files that may be seen by someone who is not authorized to modify the ThingWorx server.   HTTPie example:   http -v -j http://iotboston.com:8887/Thingworx/Things/aTestThing/Properties/CurrentTemp appKey:d0a68eff-2cb4-4327-81ea-7e71e26 Full request headers:   GET /Thingworx/Things/AllenTestThingFour/Properties/CurrentTemp HTTP/1.1 Accept: application/json, */* Accept-Encoding: gzip, deflate Connection: keep-alive Content-Type: application/json Host: iotboston.com:8887 appKey: d0a68eff-2cb4-4327-81ea-7e71e26bb   AppKey In URL as Parameter   To send an appkey in a URL request string parameter, check the Allow Application Key as URL Parameter checkbox in the PlatformSubsystem Configuration. If the ThingWorx server is using HTTPS, the parameter will be encrypted in transit, however the appKey may be comprised because full request URLs are often written to server log files.   HTTPie example:   http -v -j http://iotboston.com:8887/Thingworx/Things/AllenTestThingFour/Properties/CurrentTemp appKey==d0a68eff-2cb4-4327-81ea-7e71e26bb645 Full request headers:   GET /Thingworx/Things/aTestThing/Properties/CurrentTemp?appKey=d0a68eff-2cb4-4327-81ea-7e71e26 HTTP/1.1 Accept: application/json, */* Accept-Encoding: gzip, deflate Connection: keep-alive Content-Type: application/json Host: iotboston.com:8887   HTTP Basic Auth   We do not recommend Basic Auth, because the username and password used are NOT encrypted and could be used to log into the ThingWorx platform. To demonstrate that username and password are not encrypted, copy the string in the Authorization line after Basic to Base64 Decode then click DECODE.   HTTPie example:   http -v -j http://iotboston.com:8887/Thingworx/Things/aTestThing/Properties/CurrentTemp -a Administrator:password1 Full request headers:   GET /Thingworx/Things/AllenTestThingFour/Properties/CurrentTemp HTTP/1.1 Accept: application/json, */* Accept-Encoding: gzip, deflate Authorization: Basic QWRtaW5pc3RyYXRvcjpwYXNzd29yZDE= Connection: keep-alive Content-Type: application/json Host: iotboston.com:8887     Step 14: Next Steps   Congratulations! You've successfully completed the Use REST API to Access ThingWorx guide. You learned how to use the REST API to:   Create new Things on a ThingWorx Foundation Server Add Properties to Things Access Property values Execute custom Services   The next guide in the Connect and Configure Industrial Devices and Systems learning path is Java SDK Tutorial.   Learn More   We recommend the following resources to continue your learning experience:      Capability Guide Build Data Model Introduction   Additional Resources   If you have questions, issues, or need additional information, refer to:   Resource    Link Community Developer Community Forum Support REST API Help Center    
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Requirements:  Axeda 6.1.6+ The Axeda Applications User Interface can be extended to accommodate varying degrees of customization.  This ability to customize the base product enables repurposing the Axeda Applications User Interface to serve a specific audience. What this tutorial covers This tutorial discusses three ways to extend the Axeda Applications User Interface, which can be achieved via the following features: Customizing the Look and Feel - Use your own custom stylesheet to replace the default page styles, even on a per-user basis Extended UI Modules - Insert your own Extended UI Module into the Service > Asset Dashboard Custom Tab - Create a custom tab that loads content from a custom M2M application Customizing the Look and Feel of the Axeda Applications User Interface You can add style changes into a user.css file which you then upload like any other custom application, via the Administration > Extensions tab as a zip archive.  Make sure to adhere to the expected directory structure and follow the naming convention for the zip archive. Images - store image files in a directory called <userName>/images Styles - store user.css and any style sheet(s) that it imports in a directory called <userName>/styles Documentation - store documentation files in a directory called <userName>/doc. The naming convention is to name the archive by the username of the user who should be able to see the changes, i.e. jsmith is the username so jsmith.zip is the archive name. For step-by-step instructions for customizing the UI, Axeda customers may refer to http://<<yourdomain>>.axeda.com/help/en/stylesheets_for_user_branding.htm andhttp://<<yourdomain>>.axeda.com/help/en/upload_user_branding.htm . Extended UI Modules Extended UI Modules can be added to the Asset Dashboard to provide custom content alongside the default modules.  The modules can contain the output of a custom object or a custom application, all within the context of the particular asset being viewed. Create the Extended UI Content Option 1: an Extended UI Type Custom Object Navigate to Configuration > New > Custom Object This Custom Object should output HTML with any Javascript and/or CSS styling embedded inline.  Parameters may be defined here and made available to the script as "parameters.label". Example: def iframehtml = """<html>   <head>     <script type='text/javascript' src='https://www.google.com/jsapi'></script>     <script type='text/javascript'>       google.load('visualization', '1', {packages:['gauge']});       google.setOnLoadCallback(drawChart);       function drawChart() {         var data = new google.visualization.DataTable();         data.addColumn('string', 'Label');         data.addColumn('number', 'Value');         data.addRows([           ['$parameters.label', $parameters.value]         ]);         var options = {           redFrom: 90, redTo: 100,           yellowFrom:75, yellowTo: 90,           minorTicks: 5         };         var chart = new google.visualization.Gauge(document.getElementById('chart_div'));         chart.draw(data, options);       }     </script>   </head>   <body style="background: white;">     <div id='chart_div'></div>   </body> </html>​ """ return ['Content-Type': 'text/html', 'Content': iframehtml.toString()]      Option 2: A Custom Application Create a zip file that contains an index html file at the root of the directory, any stylesheets, scripts and images you prefer and upload the zip as a Custom Application (see the example zip file included at the end of this article). Navigate to Administration > Extensions .  Enter the information for the zip file and upload. Create the Extended UI Object Option 1: Using the Axeda Applications Console Navigate to Configuration > New > Extended UI Module Note that the parameters are entered in URI format  myvalue=mykey&othervalue=otherkey If Content Source is set to Custom Application rather than Custom Object, the Custom Applications will become available as the Extended UI Module content. Option 2: Use Axeda Artisan Check out Developing with Axeda Artisan in order to make use of this method.  Add the Extended UI Module to the apc-metadata.xml and it will be created for you automatically on Maven upload.  Note that Artisan does not support Model Preferences, so you will still have to add the module through the Axeda UI as described below. <extendedUIModule>     <!-- you can create the module here, but you still have to use the Axeda Console to apply it to the model where the module should show up -->     <title>extendedUI_name</title>     <height>180</height>     <source>         <type>CUSTOM_APPLICATION</type>         <name>customapp_name</name>     </source> </extendedUIModule> Add the Extended UI Module to the Model Preferences Navigate to Configuration > View > Model and click Preferences under UI Configuration next to the model that should display the Extended UI Module for its assets. Click Asset Dashboard Layout Select the Extended UI Module from the left and click the arrow to add it to the desired column.  The asterisks indicate Extended UI Modules, as opposed to default modules. Click Submit and navigate to an Asset Dashboard to see the module displayed. Now you have an Extended UI Module with your custom content. Custom Tabs Upload a custom application as a custom tab. And there you have it. For Artisan developers, to enable a custom application as a custom tab, insert the following into the apc-metadata.xml: <application>     <description>string</description>     <applicationId>string</applicationId>     <indexFile>string</indexFile>     <zipFile>relative path from apc-metadata.xml to the zip file containing the application files</zipFile>     <customTab>         <tabPrivilegeName>the privilege name required for the tab to be shown</tabPrivilegeName>         <afterTab>the name of the tab after which to place this tab</afterTab>         <showFooter>[true|false]</showFooter>         <tabNames>             <label>                 <locale>the i18n locale (for example en_US or ja_JP)</locale>                 <name>the name to be displayed for the locale</name>             </label>         </tabNames>     </customTab> </application>      Authentication within Extended UI Components When working with Custom Applications in custom tabs or modules, the user session ID is made available through a special variable that you can access from the landing page (such as index.html) only: %%SESSIONID_TOKEN%%      This variable is substituted directly for the session id, which makes the authentication for viewing the Extended UI component appear seamless to the end user. In order to make this ID available for AJAX calls, the index.html file should store the session ID as it is initializing.  Additionally, index.html should instruct the browser not to cache the page, or the session ID may mistakenly be used to authenticate after it expires. In index.html: <html>     <head>         <title>My Custom App</title> <META HTTP-EQUIV="CACHE-CONTROL" CONTENT="NO-CACHE"> <link media="screen" href="styles/axeda.css" rel="stylesheet" type="text/css"/> <script src="scripts/jquery-1.9.0.min.js" type="text/javascript"></script> <script type="text/javascript">             $(window).load(function () {                 App.init(encodeURIComponent("%%SESSIONID_TOKEN%%"));             })         </script>     </head>    In App.js: App.init = function (sessionID) {         // put initial processing here         storeSessionId( sessionID )         App.callScriptoWithStoredSessionID()     }    That's it!  You can now customize the look and feel of the Axeda Applications Console, as well as add an Extended UI Module and a Custom Tab. Further Reading Developing with Axeda Artisan Axeda Sample Application: Populating A Web Page with Data Items Common Questions I want to display my custom app on a custom tab. How should I manage authentication within my custom tab app? Answer:  Use Javascript to store the session ID injected as a variable into the index.html page, then use that to authenticate Scripto calls to the Axeda Platform. Are there example programs to get started? Answer:  There are several examples of Artisan projects to get started Axeda Sample Application: Populating A Web Page with Data Items An Axeda instance - https://<customerInstance>.axeda.com/artisan
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ThingShape   Much like the ThingTemplate, ThingShapes are one of the basic entities for modeling the business logic within the ThingWorx composer. They are best used for describing the relationships between the objects within your IoT model being designed in ThingWorx platform. See ThingShape in Help Center for more   Note: Additional helpful read ThingTemplate : Nuances, Tips & Tricks   ThingShape vs ThingTemplate   While both ThingShape and ThingTemplate are basic building blocks for IoT model in ThingWorx platform; they differ to an extent in terms of the usage and logic   ThingShapes could be seen as bit more basic building block compared to the ThingTemplate ThingTemplates can implement one or more ThingShapes, this is not possible vice versa ThingShapes are ought to be used for implementing more generalised business logic as opposed to ThingTemplate There's no requirement to select ThingTemplate while creating a ThingShape A Thing inherits a ThingShape via the ThingTemplate which it is implementing   ThingShape vs DataShape   While ThingShape is used for defining the relationships within your IoT model in ThingWorx, DataShapes are targeted towards structuring and giving shapes & definition to the data model and how it will be represented. DataShapes are also used for describing a data set e.g. when there's a requirement on fetching result in a specific format when querying InfoTable.   Methods to create ThingShape   There are quite a few possibilities to create ThingShape   Via the ThingWorx Composer Navigate to the ThingWorx Composer > New > ThingShape Add an unique name to the ThingShape Notice during creation there's no ThingTemplate needed for selection, however behind the scene all Things in ThingWorx draw from base template called GenericThing Under Properties and Alerts section add required properties Finally, Save the entity Creating ThingShape via ThingWorx Composer Via the custom ThingWorx Service within the Composer ThingShape can also be created via the OOTB available JavaScript service under the Resources > Entity Service > CreateThingService. To use this service Navigate to a Thing > Services > Snippets > Search for ThingShape And add the CreateThingShape service, which will look like this var params = { name: "DemoThingShape" /* STRING */, description: "Custom ThingShape Creation Script" /* STRING */, tags: undefined /* TAGS */ }; // no return Resources["EntityServices"].CreateThingShape(params); Via the ThingWorx Extension SDK as custom extension for ThingWorx ThingWorx Extension SDK allows users to extend and add functionalities to ThingWorx that may not be available OOTB.   @ThingworxBaseTemplateDefinition(name = "GenericThing") public class DemoThingShape102 extends Thing { /** * custom thingShape created using Extension SDK to display most basic * structure for the class. * Note that the class is annotated with ThingworxBaseTemplateDefinition to * define GenericThing Template */ public DemoThingShape102() { // TODO Auto-generated constructor stub } } This simple example can be extended by adding couple of properties, similar to what's defined in the ThingShape created in ThingWorx Composer. Properties are defined with annotation ThingworxPropertyDefinitions like so :   @ThingworxPropertyDefinitions(properties = { @ThingworxPropertyDefinition(name = "Prop1", description = "defined in Extension SDK ; and is persistent", category = "", baseType = "STRING", isLocalOnly = false, aspects = { "isPersistent:true", "dataChangeType:VALUE" }), @ThingworxPropertyDefinition(name = "Prop2", description = "defined in Extension SDK", category = "", baseType = "NUMBER", isLocalOnly = false, aspects = { "dataChangeType:VALUE" }) }) Putting it all toegther :   @ThingworxBaseTemplateDefinition(name = "GenericThing") @ThingworxPropertyDefinitions(properties = { @ThingworxPropertyDefinition(name = "Prop1", description = "defined in Extension SDK ; and is persistent", category = "", baseType = "STRING", isLocalOnly = false, aspects = { "isPersistent:true", "dataChangeType:VALUE" }), @ThingworxPropertyDefinition(name = "Prop2", description = "defined in Extension SDK", category = "", baseType = "NUMBER", isLocalOnly = false, aspects = { "dataChangeType:VALUE" }) }) public class DemoThingShape102 extends Thing { /** * */ public DemoThingShape102() { // TODO Auto-generated constructor stub } }   Tips & Tricks   Adding new entities while developing custom extension via the Extension SDK would require adding those entities to the metadata.xml Failing to appropriately update metadata.xml will lead to either failure in importing the extension whithin ThingWorx or Entities might not appear correctly Custom extension development process can be greatly accelerated and extension project correctly configured using the Eclipse Plugin for ThingWorx Extensions available for download from ThingWorx Marketplace Eclipse Plugin for ThingWorx Extensions ensures that custom entities are correctly organized under metadata.xml - this update to the metadata.xml file is applied automatically as the user go about creating entities within the project's scope Users might prefer to write custom entities over creating them in ThingWorx for the reasons custom entities and code used for creating custom services under the extension - are hidden when they are built into an extension and imported into ThingWorx Other related reads Remote properties, services and events can be created on a ThingShape, but they won't properly, unless the ThingShape is applied to a RemoteThing How  can I update  the  thing template's properties or  thing shape's  properties by C SDK? How to create ThingShapes and ThingTemplates in an Extension ThingShape in ThingWorx Help Center
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Key Functional Highlights See What’s New in ThingWorx Apps and ThingWorx Operator Advisor Guide     Compatibility - ThingWorx Manufacturing and Service Apps ThingWorx 8.4.x KEPServerEX 6.2 and later Earlier Version of KEPServerEX and 3rd party OPC will be supported via Aggregator All other TWX supported data sources but specifically: NI, EMS and Azure IOT Hub Upgrade Support 8.0.1 and later     Compatibility – ThingWorx Manufacturing Operator Advisor ThingWorx 8.3.4 and later ThingWorx 8.4.x and later MPMLink 11.0 M030+ with WRS 1.3     Documentation   What’s New in ThingWorx Apps ThingWorx Apps Setup and Configuration Guide ThingWorx Apps Customization Guide ThingWorx Operator Advisor Guide     Additional information The National Instruments Connector can be found on PTC Marketplace     Download   ThingWorx Manufacturing and Service Apps & Operator Advisor Extensions National Instruments TestStand Connector
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Basic Mashup Widgets Guide Part 1    Overview   This project will introduce how to use some basic Widgets in a Mashup. Following the steps in this guide, you will create a Mashup that reacts to user input using a Button, Toggle Button, and Slider Widget. We will also teach you how to display data to users with the Grid Advanced, Gauge, and Property Display widgets. NOTE: This guide's content aligns with ThingWorx 9.3. The estimated time to complete ALL 3 parts of this guide is 60 minutes.    Step 1: Create Mashup   Build Mashup Click the Browse folder icon on the top left of ThingWorx Composer. Select Mashups in the left-hand navigation, then click + New to create a new Mashup.        3. For Mashup Type select Responsive. NOTE: A Responsive Mashup scales with a browser’s screen size. In the steps below we will create 5 containers, one for each widget, to organize how the widgets are presented.          4. Click OK. 5. Enter a name for your Mashup. 6. If Project is not already set, click the + in the Project text box and select the PTCDefaultProject. 7. Click Save. 8. Select the Design tab to display Mashup Builder. 9. Select the Layout tab in the upper panel of the left dock. 10. Click Add Bottom to split the Mashup canvas into two halves. 11. Click inside the bottom container to selected it, then click Add Left. 12. Click inside the bottom-right container to select it, then click Add Right. 13. Click inside the top container to select it, then click Add Right again. You should now have 5 containers in two rows, ready to have widgets added.   Step 2: Button   A button allows users to trigger an action, or stop and start long-running processes. Select the Widgets tab in the uppper panel of the left dock, then enter button inside the Filter field in the top-left. Drag-and-drop the Button widget onto the upper left container.        3. Click the drop-down arrow on the left side of the Button widget. 4. Click and drag the Clicked service shown in the drop-down onto a free area of the Mashup canvas.         5. When the Select Service pop-up appears, Click the ResetInputsToDefaultValues service that is provided by the Container. 6. Click Save. 7. Click View Mashup then click Show/Hide Debug Info. 8. Click the Trace tab and click Start Trace. 9. Click the button you created in your Mashup then click Stop Trace to see the log of the Clicked event triggering the ResetInputsToDefaultValues service.   Many properties are available that give control over how a Button widget will be displayed. Many properties can be changed both statically when designing the Mashup, and dynamically in response to changes in property values.   Bindable Name Type Default Direction Description ContextId String None Input/Output User-definable value that can be used by downstream triggered widgets Disabled Boolean False Input Widget is not usable and is displayed greyed-out if set to true Label String Button Input The text that appears on the button ToolTipField String None Input Text shown when user hovers over widget Visible Boolean True Input Widget is visible if set to true CustomClass String None Input/Output User-definable CSS class applied to top di of the button   Static Name Type Default Direction DisplayName String auto-generated Descriptor used for referring to widget in Composer and Mashup Builder Description String None Description used for widget in user-facing interactions TabSequence Number 0 Tab sequence index Height Number Autosize Height of button Width Number Autosize Width of button Z-index Number 10 Controls widget placement on top or below other widgets   Widget Events Name Description Clicked Fired when user clicks button   Click here to view Part 2 of this guide. 
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In this Blog, we will share some light about Gradient boost, which is a default algorithm in our Analytics platform. We will touch on: 1) The main purpose of Gradient boost and how the technique works. 2) We will look at advantages and constraint. 3) Last some “nice to know” tips when working with Gradient. Gradient boost is a machine learning technique which main purpose is to help weak prediction models become stronger. Gradient boost works by building one tree at a time, and correct errors made by previously tree. The theory support reweights of edges which allows badly weight edges to get reweighted. For example the misclassified gain weight and those weights which are classified correctly, lose weight. It is kind of the same strategy when dealing with stocks; you balance the investment between bonds and share. An analog could also be done to illnesses; If a doctor informs that you have a rare disease, you want to make sure to get a few more opinions from other doctors, You will evaluate all the information to make a more correct decision about how to cure yourself. Why use gradient boost: - Gradient boost provides the user with a powerful tool to boost/improve weak prediction models. - Gradient boost works well with regression and classification problems, therefore Decision tree can benefit from applying gradient boost. - Gradient bo​ost is known in the industry, to be one of the best techniques to use when dealing with model improvement. - Gradient boost uses stagewise fashion, in this way each time it adjust a tree, it does not go back and readjust when dealing with the next tree. As with all machine learning algorithms gradient boost also have some constraint: - There is a change of overfitting. “Nice to know” tips: - A natural way to reduce this risk of overfitting would be to monitor and adjust the iterations. - The depth of the tree might have an influence on the prediction error, observe what happens if the depth is a stump/1 level deep.
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There are multiples approaches to improve the performance Increase the NetWork bandwidth between client PC and ThingWorx Server Reduce the unnecessary handover when client submit requests to ThingWorx server through NetWork Here are suggestions to reduce the unnecessary handover between client and server Eliminate the use of proxy servers between client and ThingWorx It is compulsory to download Combined.version.date.xxx.xxx.js file when the first time to load mashup page (TTFB and Content Download time). Loading performance is affected by using of proxy servers between client and ThingWorx Server. This is testing result with proxy server set up This is the test result after eliminiating proxy server from the same environment Cut off extensions that not used in ThingWorx server After installed extensions, the size of Combined.version.date.xxx.xxx.js increased Avoid Http/Https request errors There is a https request error when calling Google map. It takes more than 20 seconds
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The Property Set Approach This article details an approach developed by Prachi Rath and Roy Clarke, refined by the EDC team in the December 2019's Remote Monitoring of Assets Reference Benchmark , and used to handle multi-property business rules in an Enterprise ThingWorx application.   Introduction If there are logic rules which depend upon multiple properties, and each property receives its updates one at a time, then each property will need to have an identical subscription, because there is no way for any one subscription to know the most up-to-date values for the other properties. This inefficient approach would create redundancy and sizing constraints, reducing the capacity of the application to scale up to the Enterprise level. The Property Set Approach resolves this issue by sending in all property updates as one Info Table or JSON property (called the “property set”), which can then have a single subscription. The property set is assembled on the Edge when an update needs to be sent, and then the Platform dissects, processes, and stores the data within this property set as required by the business logic.   This approach also involves caching the last property value into a runtime variable so that it can be referenced within the business logic subscription without having to be retrieved from the database. This can significantly improve the runtime of the subscription, reducing the number of resources required to sustain the business logic and ensuring that any alerts or events resulting from the business logic occur as soon as possible. It also reduces the load on the database, ensuring that data ingestion can complete unhindered.   So, while there are many benefits to this approach, it is also more complicated. It tightly couples the development of the Edge and Platform code and increases the application complexity, making it slightly less easy to maintain the application in the long run. The property set also requires a little more bandwidth and a more stable internet connection between Edge devices and the Platform since there is more metadata in an Info Table property, and therefore every update is slightly larger than it would be otherwise. So this approach is only recommended when multi-property rules are a requirement of the application and a stable internet connection exists between the Edge and Platform.   Platform Implementation I. Create an Info Table (or JSON) Property This tutorial uses the out-of-the-box Data Shape called NamedVTQ for the Info Table property, which is defined on a Thing Template as a remote property. It is important that this is not marked as persistent or logged, as the purpose is to reduce the amount of database writes and reads required by the Platform. The Info Table property has the following property definition:     <PropertyDefinition aspect.dataChangeType="ALWAYS" aspect.dataShape="NamedVTQ" aspect.isPersistent="false" baseType="INFOTABLE" isLocalOnly="false" name="numberPropertySetAsInfotable"/>       II. Create a Data Change Event Subscription for the Info Table Property The subscription has three parts: Cache the last value for the property in a runtime variable Start off the business rules processing, sending in the whole Info Table Send the Info Table to be logged as individual local properties in the database     // First step caches the last Value, refer to the next step… // Second step sets off the business rules processing with the Info Table me.ScaleTestBusinessRuleForPropertySetAsInfotable({ PropertySetAsInfotable: eventData.newValue.value }); // Third step sends the Info Table as one property into a service which parses it into the // individual properties, updating both the runtime properties on the remote thing and the database me.UpdatePropertyValues({ values: eventData.newValue.value /* INFOTABLE */ });       III. Set-Up Caching Each property which needs to be cached should be created on the Thing Template level and named in a similar way, say by placing the word “Last” at the end, such as “Property1” => “Property1Last”, “Property2” => “Property2Last”, etc. This property should NOT be logged or persistent, as the point of this is to store the most recent value in memory, removing any superfluous dependency on database queries in the process. Note that while storing the property in runtime memory makes it much more accessible, it also means that the property needs to be rewritten manually upon Platform restart. Additional code (not provided here) must be written to populate these properties from the database upon application start-up.   The following code should be placed in the data change event subscription (option 1 in the case where only a few properties need caching, or option 2 if every property value needs to be cached):   Option 1: Some but Not All Properties Need Caching     // Names of properties for which you want to cache the last value var propertyNames = ['number1', 'number2']; // Loop through the properties and cache their time if they are found in the property set propertyNames.map(assignLast); // This function can be split into two functions for Age and Last separately if need be function assignLast(propertyName) { logger.debug("Looping for property -> "+ propertyName); var searchprop = new Object(); searchprop.name = propertyName; property = eventData.newValue.value.Find(searchprop); if(property){ logger.debug("Found Row. Name= " + property.name); var lastPropertyName = propertyName+"Last"; if(property.value) { // Set the cache property on me, this entity, to the current property value me[lastPropertyName] = me[propertyName]; } } else { logger.debug("Property Not Found in property set -> " + propertyName); } }       Option 2: All Properties Need Caching     var rowCount = eventData.newValue.value.getRowCount(); for(var i=0; i<rowCount; i++){ logger.warn("property name->" + eventData.newValue.value[i].name + "----- property new value->" + eventData.newValue.value[i].value.value); var propertyName = eventData.newValue.value[i].name; var lastPropertyName = propertyName+"Last"; me[lastPropertyName] = me[propertyName]; logger.warn("done last subscription, last property value for lastPropertyName" + me[lastPropertyName]); }         Useful Platform Code Snippets I. Age Calculation     var date1 = new Date(); var date2 = me.GetPropertyTime({ propertyName: propertyName /* STRING */ }); var result = millisToMinutesAndSeconds (dateDifference(date1, date2) ); // This function converts from an unintelligibly large number in milliseconds to something formatted in minutes and seconds function millisToMinutesAndSeconds(millis) { var minutes = Math.floor(millis / 60000); var seconds = ((millis % 60000) / 1000).toFixed(0); return (seconds == 60 ? (minutes+1) + ":00" : minutes + ":" + (seconds < 10 ? "0" : "") + seconds); }       II. Sort the Info Table by Time     var params = { sortColumn: "time" /* STRING */, t: me.propertySet/* INFOTABLE */, ascending: ascending /* BOOLEAN */ }; var result = Resources["InfoTableFunctions"].Sort(params);       III. Search the Info Table for a Property     var searchprop = new Object(); searchprop.name = propertyName; property = PropertySetAsInfotable.Find(searchprop); if(property === null){ logger.info("Property Not Found -> " + propertyNumber1); } else { logger.info("Found Row. Name= [" + property.name + "], value= " + property.value.value); }         Edge Implementation This example implementation uses the .NET Edge SDK to build a property set Info Table at the Edge.   I. Define the Data Shape A standard Data Shape is used (NamedVTQ), but because this Data Shape is not exposed in the Edge SDK code, it has to be created manually.     // Data Shape definition for NamedVTQ FieldDefinitionCollection namedVTQFields = new FieldDefinitionCollection(); namedVTQFields.addFieldDefinition(new FieldDefinition(CommonPropertyNames.PROP_NAME, BaseTypes.STRING)); namedVTQFields.addFieldDefinition(new FieldDefinition(CommonPropertyNames.PROP_VALUE, BaseTypes.VARIANT)); namedVTQFields.addFieldDefinition(new FieldDefinition(CommonPropertyNames.PROP_TIME, BaseTypes.DATETIME)); namedVTQFields.addFieldDefinition(new FieldDefinition(CommonPropertyNames.PROP_QUALITY, BaseTypes.STRING)); base.defineDataShapeDefinition("NamedVTQ", namedVTQFields);     II. Define the Info Table Property The property defined should NOT be logged or persistent, and it can be read-only, since data is always pushed from the Edge and read from the server cache when accessed on the Platform. Note that the push type of the info table property MUST be set to "ALWAYS" (if set to "VALUE", the data change event will only fire if the number of rows changes).   // Property Set Definitions [ThingworxPropertyDefinition( name = "DevicePropertySet", description = "Alternative representation of properties as an Info Table for rules processing", baseType = "INFOTABLE", category = "Status", aspects = new string[] { "isReadOnly:true", "isPersistent:false", "isLogged:false", "dataShape:NamedVTQ", "cacheTime:0", "pushType:ALWAYS" } ) ]     III. Define a Property to Store the GOOD Quality Status   private static String QUALITY_STATUS_GOOD = QualityStatus.GOOD.name();     IV. Define Functions to Populate the Value Collections  An Info Table is really just made up of many Value Collections, where each Value Collection is considered a row. These services take in the name and value of a property and return a Value Collection object which can be added to the property set Info Table.   public ValueCollection createNumberValueCollection(String name, double value) { ValueCollection vc = new ValueCollection(); // Add quality and time entries to the Value Collection vc.SetStringValue(CommonPropertyNames.PROP_QUALITY, QUALITY_STATUS_GOOD); vc.SetDateTimeValue(CommonPropertyNames.PROP_TIME, new DatetimePrimitive(DateTime.UtcNow)); vc.SetStringValue(CommonPropertyNames.PROP_NAME, name); vc.SetNumberValue(CommonPropertyNames.PROP_VALUE, value); return vc; } public ValueCollection createBooleanValueCollection(String name, Boolean value) { ValueCollection vc = new ValueCollection(); // Add quality and time entries to the Value Collection vc.SetStringValue(CommonPropertyNames.PROP_QUALITY, QUALITY_STATUS_GOOD); vc.SetDateTimeValue(CommonPropertyNames.PROP_TIME, new DatetimePrimitive(DateTime.UtcNow)); vc.SetStringValue(CommonPropertyNames.PROP_NAME, name); vc.SetBooleanValue(CommonPropertyNames.PROP_VALUE, value); return vc; }     V. Build the Property Set Call this code from the processScanRequest method to build the property set.   // Create an instance of a new Info Table using the standard "NamedVTQ" Data Shape InfoTable propertySet = new InfoTable(getDataShapeDefinition("NamedVTQ")); // Set name/value for Temperature using convenience function propertySet.addRow(createNumberValueCollection("Temperature", temperature)); // Set name/value for Pressure using convenience function propertySet.addRow(createNumberValueCollection("Pressure", pressure)); // Set name/value for TotalFlow using convenience function propertySet.addRow(createNumberValueCollection("TotalFlow", this._totalFlow)); // Set name/value for InletValve using convenience function propertySet.addRow(createBooleanValueCollection("InletValve", inletValveStatus)); // Set name/value for FaultStatus using convenience function propertySet.addRow(createBooleanValueCollection("FaultStatus", faultStatus)); // Set the property set Info Table property base.setProperty("DevicePropertySet", propertySet);     VI. Update the subscribed properties These two lines of code update the properties and events, actually sending the property set (containing all property updates) to the Platform.   base.updateSubscribedProperties(15000); base.updateSubscribedEvents(60000);     Conclusion Following these steps will enable the Edge to build a property set before sending any property updates to the Platform. The Platform can then rely on caching to process the business logic with no database dependency, which is faster and more efficient than any other approach. Finally the updates are still written to the database, so in the end, there is no functional difference between using a property set and binding each property individually. Please don't hesitate to comment here with any questions about this approach.
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Leveraging Dell and VMWare for Asset Monitoring in Connected Factories   As an extension of the Connected Factory Reference Benchmark performed on Microsoft Azure , PTC partnered with Dell Technologies in producing this document, a baseline which illustrates the effectiveness of ThingWorx and Kepware when combined with Dell and VMWare technologies to create solutions for on-premises and hybrid Connected Factory implementations. Please join us in thanking Bhagyashree Angadi, Brian Anzaldua, Todd Edmunds, Mike Hayes, and the Dell Customer Solution Center team in Limerick, Ireland for working with the IOT Enterprise Deployment Center on this benchmark!   This benchmark is of a very similar design to a previous publication, but this time designed specifically with Dell Technologies in mind. In a Dell/VMWare architecture, the close proximity of Kepware Server and ThingWorx Foundation provides ideal conditions for network throughput between these components. Combined with the ability to easily monitor and resize virtual machines as your business needs evolve, these hardware configurations can be very effective in on-premises or hybrid deployment scenarios.
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Video Author:                      Asia Garrouj Original Post Date:            June 13, 2017 Applicable Releases:        ThingWorx Analytics 8.0   Description: This video is the first of a 3 part series walking you through how to setup ThingWatcher for Anomaly Detection. In this first video you will learn the basics of how to establish connectivity between KEPServer and the ThingWorx Platform.    
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Video Author:                     Durgesh Patel Original Post Date:            June 12, 2017 Applicable Releases:        ThingWorx   Description: In this video we review the different features available in Grid Advanced Extension version 2.0.  
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ThingWorx 8.5 Sizing Guide Sizing is a very important part of the application design process, answering such questions as: how much hardware is required? What specifications does this hardware need to handle the expected load? And therefore, what is the overall cost of setting up and maintaining the ThingWorx environment? Properly sizing the environment before development begins ensures that there are no unexpected costs or limitations to application functionality later on down the road.   "Hardware sizing is driven by many factors - some more easily calculated than others", as stated in the new ThingWorx 8.5 Sizing Guide. "Measures like data streaming frequency (the data ingestion component) and HTTP request volume (the data visualization component) are easily calculated... However, sizing considerations for the data processing component of the application can depend largely on business use cases and application design." Enterprise-Ready applications have the capacity to handle all aspects of an IoT application, from data ingestion and processing to data visualization, as detailed in the friendly infographic above, which many will recognize from LiveWorx. Inside the ThingWorx 8.5 Sizing Guide,  there are formulas designed to help size the more analytical aspects of the application, as well as descriptions of other factors and how they (conceptually) play a role in sizing.    There are also two application design examples which step the reader through the calculations, the comparisons, and the selections of hardware for each use case. New in this version, these examples have been simulated in the real world to prove that the theory behind these calculations is sound, and to demonstrate the full process of designing, sizing, and testing an application.  One of the examples (shown here) sizes a Connected Product Solution, something which has many, many remote things in the field, each writing to the Platform at a slower rate, for consumption by a large number of general users, who don't access the same mashups many times nor refresh their view very often. The second example is much more complex, modeling an industrial use-case, where there are many different kinds of users each accessing the mashups many times, fewer things, and more variations in the types of properties each thing possesses. These examples are designed to help anyone with any use case step through the sizing of their application properly.   Please check out the new ThingWorx 8.5 Sizing Guide, especially because each version of ThingWorx is different and must be sized accordingly. Comments and questions about the guide are very welcome right here on this thread!
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This video is the 1 st part of a series of 3 videos walking you through how to setup ThingWatcher for Anomaly Detection. In this first video you will learn the basics of how to create connectivity between KEPServer and ThingWorx Platform.   Updated Link for access to this video:  Anomaly Detection 8.0 - Part 1: Connecting KEPServer to ThingWorx: Part 1 of 3
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Introduction to the base EMS connections and settings, what and how the websocket connections work, security, data transfer and bandwidth.     For full-sized viewing, click on the YouTube link in the player controls.   Visit the Online Success Guide to access our Expert Session videos at any time as well as additional information about ThingWorx training and services.
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  Create users, security groups, and provide a method to authenticate with LDAP.   Guide Concept   LDAP allows for a layer of security within your company or organization to be utilized for authentication or user management.   These concepts and steps will allow you to focus on development of your application while still allowing the ability to utilize the power of ThingWorx!   We will teach you how to enable LDAP authentication in ThingWorx and configuring ThingWorx to connect to a LDAP server.   You'll learn how to   How to enable LDAP Authentication on ThingWorx Configuring ThingWorx to connect to an LDAP server Importing users from LDAP   NOTE: This guide's content aligns with ThingWorx 9.3. The estimated time to complete this guide is 60 minutes     Step 1: Completed Example   Download the completed files for this tutorial: ApacheDSExample.xml. This guide will cover authentication with an ApacheDS LDAP server.   In this tutorial, we walk through security concepts within ThingWorx. Utilize this file to see a finished example and return to it as a reference if you become stuck creating your own fully flushed out application.   Keep in mind, this download uses the exact names for entities used in this tutorial. If you would like to import this example and also create entities on your own, change the names of the entities you create.       Step 2: Understanding Directory Services   ThingWorx provides built-in LDAP Directory Support for clear-text connections (port 389). In order to enable LDAP Authentication, a Directory Service Entity must be imported and configured. The sample download provided is setup for Apache DS. An Active Directory example and a OpenLDAP example are attached, but will not be covered here. Other LDAP providers will need a similar file.   Users can exist in any Directory Services location as all Directory Services will be tried in order of priority when a user logs in. For the default setting, LDAP Directory Service will have priority over the ThingWorx one once enabled. To modify this configuration on the provided example, follow the below steps (if you have not done so already, import the XML file that was provided into The ThingWorx Composer):   From the ThingWorx Composer, go to the SECURITY section and click Directory Service. Open the Directory Service Entity you imported, ApacheDS. Enable LDAP in the General Properties section by checkicking the Enabled checkbox.   4. (Optional) Set the priority for the authentication if you have multiple Directory Service entities configured: Use the Priority property to assign an order of authentication to log in. The lower the number the higher the priority (1 is the highest priority). 5. Click Save to save ApacheDS and enable LDAP authentication. ThingWorx will contact the LDAP server to check for the given username when a user then tries to authenticate. If the user is not found or if the authentication on the LDAP server fails then the ThingWorx Directory Service will be tried.     Step 3: Configure ThingWorx and ApacheDS   This section will create an LDAP server, create the connection, and configure LDAP utilizing ApacheDS and Apache Directory Studio. In order to fully run this example, you will need to initially create this server OR deploy this server to a ThingWorx accessible location.   If you do not have an LDAP server already setup, utilize the below instructions to get started. If you already have a LDAP server setup, skip to the Configure ThingWorx For LDAP Connection section to configure the connection in ThingWorx.   Create New LDAP Server and Connection:   Open Apache Directory Studio. Right-click in the LDAP Servers section and select New -> New Server.   Select your version of ApacheDS in the menu and click Finish.   Right-click the newly created LDAP server and select Open Configuration.   Update the Port for the LDAP server to 389 and uncheck the LDAPS server.   Click Partitions at the bottom of the configuration and click Add.   Set the new Partition ID to ThingWorx. Set the Suffix value of the Partition to ou=people, dc=thingworx.   Save and close the configurations. Right-click the LDAP server and select Run. Once the State of the LDAP server has changed to Started, right-click the LDAP server and select Create Connection.   Utilize the ApacheDS adding entries guide to create users for your new LDAP server then follow the below instruction to create the ThingWorx connection. Configure ThingWorx For LDAP Connection: The sample XML files provided are configured with the most common attribute for the platform. From the ThingWorx Composer, go to the SECURITY section and click Directory Service. Open the Directory Service Entity you imported, ApacheDS. Generally, only one Entity listed unless multiple authentication realms have been configured. Click Congifurations to bring up Directory Service configuration details. Update the configuration parameters for the LDAP server: server: The hostname of the LDAP server userIdAttribute: LDAP attribute that is used to uniquely identify the user logging in. This property should be set to the name of the attribute containing the user's username. port: Connection port for the LDAP server. LDAP standard port is 389. If the LDAP server's connection port is 636, it is very likely that the server is expecting LDAPS, which ThingWorx does not currently support. adminBindDN: The full distinguished name for the user that the ThingWorx server will use for browsing the LDAP directory tree. The user that is defined here must have Read permissions on the directory tree. Generic Format: uid=admin, ou=Users, dc=company, dc=com userBaseDN: Distinguished name for the parent organizational unit (OU) containing any user that will need to log in. *Generic Format*: ou=ThingWorxUsers, ou=Users, dc=company, dc=com adminPassword: The password for the user configured in adminBindDN above   Click Save to update the ApacheDS Directory Service.       Step 4: Import Users Into ThingWorx   Handling Password Configurations: User must have a corresponding ThingWorx user created on the server before a user can log into ThingWorx via LDAP. These users must be created manually before they can log into the ThingWorx server All User entities created on ThingWorx matching LDAP users must have a password set, otherwise LDAP will not be able to log in. This password should NOT be the user's LDAP password The password used within ThingWorx should be secure/randomly generated. If LDAP authentication fails, ThingWorx will fall back on the password set for this user. The code provided below generates a random password for the users it creates Custom Service for User and Password Generation: A custom service can be created on a Service-Providing Thing instance that creates a specific user and assign it a home mashup: A Service-Providing Thing is an entity that uses the *GenericThing** ThingTemplate. It does not store properties. Instead, it provides useful Services that retrieve and compile data from many Thing instances for use in Mashups and/or other services. To create a Service-Providing Thing: Create a new Thing, and name it LDAPServiceHelper. Set the Thing Template to GenericThing. Click Services and create a new Service called CreateLDAPUser. Set the Inputs to be the following: Username (STRING, required) HomeMashup (MASHUPNAME, optional) Use the following for the source code: // ThingWorx will fall back on ThingWorx Directory Service (Local authentication) // if LDAP authentication fails, which means the password that we have to set for // the new user could also be used to log the user in. // Using a random string will make it highly unlikely that a user / attacker can // use the ThingWorx password to log in. var randompass = Math.random().toString(36).slice(-10); var params1 = { name: Username, password: randompass, description: "Generated LDAP User" }; Resources["EntityServices"].CreateUser(params1); // By default non-admin users will be directed to SQUEAL. // If there is a specific mashup that the user should see instead, // the following code will configure it based on the HomeMashup optional parameter. // The mashup passed to this service must exist. if (HomeMashup !== null) { var params2 = { name: HomeMashup }; Users[Username].SetHomeMashup(params2); } 6. Click Done. 7. Click Save.   Execute the newly created Service for each user in the LDAP system. Once all users have been imported (or at least the ones who need immediate access) the Directory Service must be enabled for ThingWorx to begin authenticating users via LDAP.       Step 5: Next Steps   Congratulations! You've successfully completed the Enabling LDAP Authentication in ThingWorx tutorial, and learned how to:   How to enable LDAP Authentication on ThingWorx Configuring ThingWorx to connect to an LDAP server Importing users from LDAP Auto assigning to user groups based on LDAP membership Learn More We recommend the following resources to continue your learning experience:    Capability   Guide Secure Create An Authentication Extension Secure Configure Permissions   Additional Resources If you have questions, issues, or need additional information, refer to:    Resource         Link Community Developer Community Forum Support Extension Development Guide  
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