IoT & Connectivity Tips

/* Define a DataShape used in an InfoTable Parameter for this service call */ twDataShape* sampleInfoTableAsParameterDs = twDataShape_Create(twDataShapeEntry_Create("ColumnA",NO_DESCRIPTION,TW_STRING)); twDataShape_AddEntry(sampleInfoTableAsParameterDs,twDataShapeEntry_Create("ColumnB",NO_DESCRIPTION,TW_NUMBER)); twDataShape_AddEntry(sampleInfoTableAsParameterDs,twDataShapeEntry_Create("ColumnC",NO_DESCRIPTION,TW_BOOLEAN)); twDataShape_SetName(sampleInfoTableAsParameterDs,"SampleInfoTableAsParameterDataShape");      /* Define Input Parameter that is an InfoTable of Shape SampleInfoTableAsParameterDataShape */ twDataShapeEntry* infoTableDsEntry = twDataShapeEntry_Create("itParam",NULL,TW_INFOTABLE); twDataShapeEntry_AddAspect(infoTableDsEntry, "dataShape", twPrimitive_CreateFromString("SampleInfoTableAsParameterDataShape", TRUE));    twDataShape* inputParametersDefinitionDs = twDataShape_Create(infoTableDsEntry);   /* Register remote function */ twApi_RegisterService(TW_THING, SERVICE_INTEGRATION_THINGNAME, "testMultiRowInfotable", NO_DESCRIPTION,   inputParametersDefinitionDs, TW_NOTHING, NULL, PlatformCallsServiceWithMultiRowInfoTableServiceImpl, NULL); /* Note that you will have to manually create the datashape in ThingWorx before attempting to add this remote service to your Thing. */

When you install Thingworx with PostgreSQL, you can't import the "PostgreSQL" extension because of the conflict of a library file. So, here is a sample "MetaData.xml" file. You can zip this file and simply import it into your Thingworx so that you can have a thing template for "PostgreSQL" database. <Entities>     <ExtensionPackages>         <ExtensionPackage name="PostgreSQL_ExtensionPackage"                       description="PostgreSQL JDBC Extension"                       vendor="ThingWorx Customer Service"                       packageVersion="1.0"                       minimumThingWorxVersion="4.0.0">         </ExtensionPackage>     </ExtensionPackages>     <ThingTemplates>         <ThingTemplate baseThingTemplate="Database" description="PostgreSQL Server" documentationContent="" effectiveThingPackage="" homeMashup="" lastModifiedDate="2015-11-28T11:40:35.355-05:00" name="PostgreSqlServer" tags="" thingPackage="">             <ThingShape description="" documentationContent="" lastModifiedDate="2015-11-28T11:40:35.355-05:00" name="" tags="">                 <PropertyDefinitions/>                 <ServiceDefinitions/>                 <EventDefinitions/>                 <ServiceImplementations/>                 <ServiceMappings/>                 <Subscriptions/>             </ThingShape>             <ImplementedShapes/>             <ConfigurationTables>                 <ConfigurationTable description="" isMultiRow="false" name="ConnectionInfo">                     <DataShape>                         <FieldDefinitions>                             <FieldDefinition aspect.defaultValue="5.0" baseType="NUMBER" description="Maximum number of connections in the pool" name="maxConnections" ordinal="0"/>                             <FieldDefinition aspect.defaultValue="jdbc" baseType="STRING" description="jDBCConnectionURL" name="jDBCConnectionURL" ordinal="0"/>                             <FieldDefinition aspect.defaultValue="SELECT NOW()" baseType="STRING" description="Connection validation string" name="connectionValidationString" ordinal="0"/>                             <FieldDefinition aspect.defaultValue="org.postgresql.Driver" baseType="STRING" description="jDBCDriverClass" name="jDBCDriverClass" ordinal="0"/>                             <FieldDefinition baseType="STRING" description="Database user name" name="userName" ordinal="0"/>                             <FieldDefinition baseType="PASSWORD" description="Database password" name="password" ordinal="0"/>                         </FieldDefinitions>                     </DataShape>                     <Rows>                         <Row>                             <jDBCConnectionURL><![CDATA[jdbc:postgresql://localhost:5432/demo]]></jDBCConnectionURL>                             <maxConnections>100.0</maxConnections>                             <connectionValidationString><![CDATA[SELECT NOW()]]></connectionValidationString>                             <jDBCDriverClass><![CDATA[org.postgresql.Driver]]></jDBCDriverClass>                             <userName />                             <password />                         </Row>                     </Rows>                 </ConfigurationTable>                 <ConfigurationTable description="" isMultiRow="false" name="ConnectionMonitoring">                     <DataShape>                         <FieldDefinitions>                             <FieldDefinition aspect.defaultValue="1.0" baseType="NUMBER" description="Number of retries" name="numberOfRetries" ordinal="0"/>                             <FieldDefinition aspect.defaultValue="2000.0" baseType="NUMBER" description="Retry delay in milliseconds" name="retryDelay" ordinal="0"/>                             <FieldDefinition aspect.defaultValue="false" baseType="BOOLEAN" description="Enable connection monitoring" name="enableMonitor" ordinal="0"/>                             <FieldDefinition aspect.defaultValue="30000.0" baseType="NUMBER" description="Monitor rate in milliseconds" name="connectionMonitorRate" ordinal="0"/>                         </FieldDefinitions>                     </DataShape>                     <Rows>                         <Row>                             <numberOfRetries>1.0</numberOfRetries>                             <retryDelay>2000.0</retryDelay>                             <enableMonitor>false</enableMonitor>                             <connectionMonitorRate>3000.0</connectionMonitorRate>                         </Row>                     </Rows>                 </ConfigurationTable>             </ConfigurationTables>             <avatar/>             <DesignTimePermissions>                 <Create/>                 <Read/>                 <Update/>                 <Delete/>                 <Metadata/>             </DesignTimePermissions>             <RunTimePermissions/>             <InstanceDesignTimePermissions>                 <Create/>                 <Read/>                 <Update/>                 <Delete/>                 <Metadata/>             </InstanceDesignTimePermissions>             <InstanceRunTimePermissions/>         </ThingTemplate>     </ThingTemplates> </Entities>

When I tried to set String property values with Chinese letters by using C SDK, I could see only broken characters in Thingworx. The cause of the problem is simple and it's encoding. In order to solve this problem, you need to convert encoding to UTF-8 in your C code. I used 'libiconv' library to do it. This guide is for Win32 version. If you want to make a library for other platforms such as Linux, you can create or get a library for your own by googling. How to Get the Source Code of libiconv At the moment, the most recent version of libiconv is 1.15. You can download the source code of libiconv from here. How to Build I used MS Visual Studio 2012, but the explanation can be applied to the earlier versions of MS Visual Studio and express editions. Step 1. Download the most recent version of libiconv and unzip the file. Step 2. Make a new Win32 Project. Let's say "libiconv" as the project name. Check to create directory for solution. Choose DLL as the application type and check Empty Project for additional options. Click the button "Finish" to generate the new project. Step 3. Copy files from the folders of libiconv to project folders. To build "libiconv", you need to compile three files "localcharset.c", "relocatable.c" and "iconv.c". That's the key! Copy three files "relocatable.h", "relocatable.c" and "iconv.c" in the folder "...\libiconv-1.15\lib\" to the project folder "...\libiconv\libiconv\". Copy "...\libiconv-1.15\libcharset\lib\localcharset.c" to the project folder "...\libiconv\libiconv\". Copy "...\libiconv-1.15\libcharset\include\localcharset.h.build.in" to the project folder "...\libiconv\libiconv\" and then, rename the copied "localcharset.h.build.in" to "localcharset.h". Copy "...\libiconv-1.15\windows\libiconv.rc" to the project folder "...\libiconv\libiconv\". Make folder "include" under the project folder "...\libiconv\". Copy "...\libiconv-1.15\include\iconv.h.build.in" to the project include folder "...\libiconv\include" and then, rename the copied "iconv.h.build.in" to "iconv.h". Copy "...\libiconv-1.15\config.h.in" to the project include folder "...\libiconv\include" and then, rename the copied "config.h.in" to "config.h". Copy all the header files (*.h) and definition files (*.def) in the folder "...\libiconv-1.15\lib" to the project include folder "...\libiconv\include". Step 4. Add existing items. Execute "project > Add Existing items..." at the main menu to add existing items to the project. Step 5. Project Settings. You can make 64-bit platform through configuration manager in order to generate libiconv.dll for 64-bit system. You can also make two other configurations "ReleaseStatic" and "DebugStatic" in order to generate libiconvStatic.lib as a static link library. At the project properties, change Output Directory as "$(SolutionDir)$(Configuration)_$(Platform)\" and Intermediate Directory as "$(SolutionDir)obj\$(ProjectName)\$(Configuration)_$(Platform)\". Change Include Directories as "..\include;$(IncludePath)": You have to add "BUILDING_LIBICONV" and "BUILDING_LIBCHARSET" to Peprocessor Definitions of all Platforms and of all configurations. You'd better set Runtime Library to "Multi-threaded" when building dynamic link library libiconv.dll. Then, the dependency on VC Runtime library can be controlled by the applications that will be built and dynamically linked with libiconv.dll because libiconv.dll does not need VC Runtime library but only the application that uses libiconv.dll may or may not need VC Runtime library. However, when building the static link library libiconvStatic.lib, you can choose Runtime Library option for libiconvStatic.lib depending on the application that uses libiconvStatic.lib. You have to change Precompiled Header option to "Not Using Precompiled Headers". Step 6. Tweak the source code. libiconv.rc Open libiconv.rc with text editor or the source code editor of Visual Studio IDE by double-clicking libiconv.rc in the Solution explorer and insert some code at line 4 as follows: /////////////    ADD    ///////////// #define PACKAGE_VERSION_MAJOR 1 #define PACKAGE_VERSION_MINOR 14 #define PACKAGE_VERSION_SUBMINOR 0 #define PACKAGE_VERSION_STRING "1.14" ///////////////////////////////////// You may be asked to change Line endings to "Windows (CR LF)". Then, let it do so. It will be more convenient for you if you mainly use Windows. localcharset.c Open localcharset.c and delete or comment the lines 80 - 83 as follows: //////////////////  DELETE //////////////// ///* Get LIBDIR.  */ //#ifndef LIBDIR //# include "configmake.h" //#endif /////////////////////////////////////////// iconv.c Open iconv.c and delete or comment the lines 250 - 252 and add three lines there as follows: ///////////////////////// DELETE /////////////////////// //size_t iconv (iconv_t icd, //              ICONV_CONST char* * inbuf, size_t *inbytesleft, //              char* * outbuf, size_t *outbytesleft) /////////////////////////   ADD   ////////////////////// size_t iconv (iconv_t icd,               const char* * inbuf, size_t *inbytesleft,               char* * outbuf, size_t *outbytesleft) //////////////////////////////////////////////////////// localcharset.h Open localcharset.h and delete or comment the lines 21 - 25 and add 7 lines there as follows: /////////////////////////   DELETE  //////////////////////// //#if @HAVE_VISIBILITY@ && BUILDING_LIBCHARSET //#define LIBCHARSET_DLL_EXPORTED __attribute__((__visibility__("default"))) //#else //#define LIBCHARSET_DLL_EXPORTED //#endif /////////////////////////    ADD    ////////////////////// #ifdef BUILDING_LIBCHARSET #define LIBCHARSET_DLL_EXPORTED __declspec(dllexport) #elif USING_STATIC_LIBICONV #define LIBCHARSET_DLL_EXPORTED #else #define LIBCHARSET_DLL_EXPORTED __declspec(dllimport) #endif //////////////////////////////////////////////////////////////////// config.h Open config.h in the project include folder "...\libiconv\include" and delete or comment the lines 29 - 30 as follows: ///////////////////////// DELETE /////////////////////// ///* Define as good substitute value for EILSEQ. */ //#undef EILSEQ //////////////////////////////////////////////////////// Otherwise you can redefine EILSEQ as good substitute value. iconv.h Open iconv.h in the project include folder "...\libiconv\include" and delete or comment the line 175 and add 1 line as follows: /////////////////////////  DELETE  /////////////////////// //#if @HAVE_WCHAR_T@ /////////////////////////    ADD   ////////////////////// #if HAVE_WCHAR_T //////////////////////////////////////////////////////////////////////////////// Delete or comment the line 128 and add 1 line as follows: /////////////////////////  DELETE  /////////////////////// //#if @USE_MBSTATE_T@ /////////////////////////   ADD   ////////////////////// #if USE_MBSTATE_T //////////////////////////////////////////////////////////////////////////////// Delete or comment the lines 107-108 and add 2 lines as follows: /////////////////////////  DELETE  /////////////////////// //#if @USE_MBSTATE_T@ //#if @BROKEN_WCHAR_H@ /////////////////////////  ADD  ////////////////////// #if USE_MBSTATE_T #if BROKEN_WCHAR_H //////////////////////////////////////////////////////////////////////////////// Delete or comment the line 89 and add 2 lines as follows: /////////////////////////  DELETE /////////////////////// //extern LIBICONV_DLL_EXPORTED size_t iconv (iconv_t cd, @ICONV_CONST@ char* * inbuf, //size_t *inbytesleft, char* * outbuf, size_t *outbytesleft); /////////////////////////    ADD   ////////////////////// extern LIBICONV_DLL_EXPORTED size_t iconv (iconv_t cd, const char* * inbuf,   size_t *inbytesleft, char* * outbuf, size_t *outbytesleft); //////////////////////////////////////////////////////////////////////////////// Delete or comment the lines 25 - 30 and add 8 lines as follows: /////////////////////////  DELETE /////////////////////// //#if @HAVE_VISIBILITY@ && BUILDING_LIBICONV //#define LIBICONV_DLL_EXPORTED __attribute__((__visibility__("default"))) //#else //#define LIBICONV_DLL_EXPORTED //#endif //extern LIBICONV_DLL_EXPORTED @DLL_VARIABLE@ int _libiconv_version; /* Likewise */ /////////////////////////    ADD   ////////////////////// #if BUILDING_LIBICONV #define LIBICONV_DLL_EXPORTED __declspec(dllexport) #elif USING_STATIC_LIBICONV #define LIBICONV_DLL_EXPORTED #else #define LIBICONV_DLL_EXPORTED __declspec(dllimport) #endif extern LIBICONV_DLL_EXPORTED int _libiconv_version; /* Likewise */ //////////////////////////////////////////////////////////////////////////////// How to Use When you use newly built libiconv, the only header file that you need is iconv.h. You will need to link either the import library libiconv.lib or the static library libiconvStatic.lib in your project property or write the code in one of your source file as follows: #pragma comment (lib, "libiconv.lib") or #pragma comment (lib, "libiconvStatic.lib") In the source of the application that uses this library either libiconv.dll or libiconvStatic.lib, if you don't define anything but only include iconv.h, your application will use libiconv.dll while it will use libiconvStatic.lib if you define USING_STATIC_LIBICONV before you include iconv.h in your application as follows: //#define USING_STATIC_LIBICONV #include <iconv.h> And in C SDK code, I used a "SteamSensorWithFileTransferAndTunneling" sample code and added codes in the "dataCollectionTask" function as below. void dataCollectionTask(DATETIME now, void * params) {   iconv_t ic;   char* in_buf = "Hi, 文健英";   char *to_chrset = "UTF-8";   char *from_chrset = "EUC-KR";   size_t in_size = strlen(in_buf);   size_t  out_size = sizeof(wchar_t) * in_size * 4;   char* out_buf = malloc(out_size);   // Caution: iconv's inbuf, outbuf are double pointers, so need to define separate pointers and pass addresses.   char* in_ptr = in_buf;   char* out_ptr = out_buf;   size_t out_buf_left;   size_t result;   memset(out_buf, 0x00, out_size);      ic = iconv_open(to_chrset, from_chrset);   if (ic == (iconv_t) -1)   {         printf("Not supported code \n");         exit(1);   }   printf("input len = %d, %s\n", in_size, in_buf);   out_buf_left = out_size;   iconv(ic, &in_ptr, &in_size, &out_ptr, &out_buf_left);   //printf("input len = %d, output len=%d %s\n", in_size, out_size - out_buf_left, out_buf);   iconv_close(ic);   /* TW_LOG(TW_TRACE,"dataCollectionTask: Executing"); */   properties.TotalFlow = rand()/(RAND_MAX/10.0);   properties.Pressure = 18 + rand()/(RAND_MAX/5.0);   properties.Location.latitude = properties.Location.latitude + ((double)(rand() - RAND_MAX))/RAND_MAX/5;   properties.Location.longitude = properties.Location.longitude + ((double)(rand() - RAND_MAX))/RAND_MAX/5;   properties.Temperature  = 400 + rand()/(RAND_MAX/40);   properties.BigGiantString = out_buf; // Set values for String property   /* Check for a fault.  Only do something if we haven't already */   if (properties.Temperature > properties.TemperatureLimit && properties.FaultStatus == FALSE) {   twInfoTable * faultData = 0;   char msg[140];   properties.FaultStatus = TRUE;   properties.InletValve = TRUE;   sprintf(msg,"%s Temperature %2f exceeds threshold of %2f",   thingName, properties.Temperature, properties.TemperatureLimit);   faultData = twInfoTable_CreateFromString("message", msg, TRUE);   twApi_FireEvent(TW_THING, thingName, "SteamSensorFault", faultData, -1, TRUE);   twInfoTable_Delete(faultData);   }   /* Update the properties on the server */   sendPropertyUpdate(); }

The AddStreamEntries​ snippet does not offer too much information, except that it needs an InfoTable as input. It is however based on the InfoTable for the AddStreamEntity service.     To use the AddStreamEntries table, an InfoTable based on sourceType, values, location, source, timestamp​ and ​tags​ must be used.   In this example, I started with a new Thing based on a ​Stream​ template and the following DataShape:     This DataShape must be converted into an InfoTable with is used as the ​values​ parameter. It's important that the ​timestamp​ parameter has distinct values! Otherwise values matching the same timestamp will be overwritten!   We don't really need the sourceType​ as ThingWorx will automatically determine the type by knowing the source and which kind of Entity Type it is.   I created a new ​MyStreamThing​ with a new service, filling the InfoTable and the Stream. The result is the following code which will add 5 rows to the Stream:     // *** SET UP META DATA FOR INFO TABLE ***   // create a new InfoTable based on AddStreamEntries parameters (timestamp, location, source, sourceType, tags, values)   var myInfoTable = { dataShape: { fieldDefinitions : {} }, rows: [] };   myInfoTable.dataShape.fieldDefinitions['timestamp']  = { name: 'timestamp', baseType: 'DATETIME' }; myInfoTable.dataShape.fieldDefinitions['location']  = { name: 'location', baseType: 'LOCATION' }; myInfoTable.dataShape.fieldDefinitions['source']    = { name: 'source', baseType: 'STRING' }; myInfoTable.dataShape.fieldDefinitions['sourceType'] = { name: 'sourceType', baseType: 'STRING' }; myInfoTable.dataShape.fieldDefinitions['tags']      = { name: 'tags', baseType: 'TAGS' }; myInfoTable.dataShape.fieldDefinitions['values']    = { name: 'values', baseType: 'INFOTABLE' };   // *** SET UP ACTUAL VALUES FOR INFO TABLE ***   // create new meta data   var tags = new Array(); var timestamp = new Date(); var location = new Object(); location.latitude = 0; location.longitude = 0; location.elevation = 0; location.units = "WGS84";   // add rows to InfoTable (~5 times)   for (i=0; i<5; i++) {       // create new values based on Stream DataShape       var params = {           infoTableName : "InfoTable",           dataShapeName : "Cxx-DS"     };       var values = Resources["InfoTableFunctions"].CreateInfoTableFromDataShape(params);       // add something to the values to make them unique       // create and add new row based on Stream DataShape     // only a single line allowed!       var newValues = new Object();     newValues.a = "aaa" + i; // STRING - isPrimaryKey = true     newValues.b = "bbb" + i; // STRING     newValues.c = "ccc" + i; // STRING       values.AddRow(newValues);       // create new InfoTable row based on meta data & values     // add 10 ms to each object, to make it's timestamp unique     // otherwise entries with the same timestamp will be overwritten       var newEntry = new Object();     newEntry.timestamp = new Date(Date.now() + (i * 10));     newEntry.location = location;     newEntry.source = me.name;     newEntry.tags = tags;     newEntry.values = values;       // add new Info Table row to Info Table           myInfoTable.rows = newEntry;       }       // *** ADD myInfoTable (HOLDING MULITPLE STREAM ENTRIES) TO STREAM       // add stream entries in the InfoTable       var params = {           values: myInfoTable /* INFOTABLE */     };       // no return       Things["MyStreamThing"].AddStreamEntries(params);   To verify the values have been added correctly, call the ​GetStreamEntriesWithData​ service on the ​MyStreamThing​

Neural Net is a learning algorithm that is inspired by how the human brain works. For example, imagine you love chocolate cake so much that, you joyfully exercise a bit more during the week just to enjoy that delicious chocolate cake without feeling guilty. But if the weather is terrible there is no way you go exercise, and then you can’t eat the delicious chocolate cake. Although, if your beautiful girlfriend / boyfriend exercise with you, then you ignore the weather and joyfully exercise and then you can enjoy that delicious chocolate cake without feeling guilty. The brain’s nervous system passes information using a synapse structure which allows neurons to pass information to other neurons and finally make a decision. This structure of passing information and decision making is the construction behind neural net algorithm. The data structure provides weights on the edges for the nodes/synapses in a directed graph. For example, our chocolate cake decision making could be translated into: w1=6 Whether or not your girlfriend or boyfriend exercise together with you w2=3 Enjoying delicious chocolate cake w3=2 Weather The high weights for example indicates the condition to have a high influence on your output decision making, while lower weight is not that influential. The illustration below is an example of neural net with 5 different input of information: The edges/arrows represent weights each input/node have a weight associated with it. These weights are applied when training neural net. Three of the inputs could represent 1= Delicious chocolate cake, 2= The weather, 3= Your girlfriend or boyfriend, and the last two inputs could be other information. The output is the condition of the decision determined by the hidden layer. ThingWorx Analytics Server applies neural net with full interconnection layer, which means each value from the input layer is duplicated and sent to each node in the hidden layer, just like in following illustration.

Starting with the 7.4 version of Thingworx, a license.bin file locked to the specific version of Thingworx is required in order to successfully start the Thingworx webapp. If something is wrong with the licensing, Tomcat will crash and will not show any information regarding the problem in its log files. The Catalina*.log file will look like this 13-Jun-2017 04:36:43.268 INFO [main] org.apache.catalina.core.StandardService.startInternal Starting service Catalina 13-Jun-2017 04:36:43.268 INFO [main] org.apache.catalina.core.StandardEngine.startInternal Starting Servlet Engine: Apache Tomcat/8.5.13 13-Jun-2017 04:36:43.315 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployWAR Deploying web application archive C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\Thingworx.war 13-Jun-2017 04:36:56.080 INFO [localhost-startStop-1] org.apache.jasper.servlet.TldScanner.scanJars At least one JAR was scanned for TLDs yet contained no TLDs. Enable debug logging for this logger for a complete list of JARs that were scanned but no TLDs were found in them. Skipping unneeded JARs during scanning can improve startup time and JSP compilation time. instead of continuing on through the rest of the war files present on the server as it would if everything worked properly. 13-Jun-2017 04:37:20.001 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployWAR Deployment of web application archive C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\Thingworx.war has finished in 36,684 ms 13-Jun-2017 04:37:20.006 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deploying web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\docs 13-Jun-2017 04:37:20.113 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deployment of web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\docs has finished in 107 ms 13-Jun-2017 04:37:20.113 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deploying web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\examples 13-Jun-2017 04:37:20.617 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deployment of web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\examples has finished in 504 ms 13-Jun-2017 04:37:20.618 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deploying web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\host-manager 13-Jun-2017 04:37:20.661 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deployment of web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\host-manager has finished in 43 ms 13-Jun-2017 04:37:20.661 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deploying web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\manager 13-Jun-2017 04:37:20.847 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deployment of web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\manager has finished in 186 ms 13-Jun-2017 04:37:20.847 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deploying web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\ROOT 13-Jun-2017 04:37:20.866 INFO [localhost-startStop-1] org.apache.catalina.startup.HostConfig.deployDirectory Deployment of web application directory C:\PTC\KinexForManufacturing\PTC_Servlet_Engine\webapps\ROOT has finished in 18 ms 13-Jun-2017 04:37:20.949 INFO [main] org.apache.coyote.AbstractProtocol.start Starting ProtocolHandler ["https-jsse-nio-443"] 13-Jun-2017 04:37:20.957 INFO [main] org.apache.coyote.AbstractProtocol.start Starting ProtocolHandler ["ajp-nio-8009"] 13-Jun-2017 04:37:20.958 INFO [main] org.apache.catalina.startup.Catalina.start Server startup in 37733 ms The error will actually be in the ThingworxStorage/logs/ApplicationLog.log file - something like this: 2017-06-14 10:00:19.057-0700 [L: INFO] [O: c.t.s.ThingWorxServer] [I: ] [U: SuperUser] [S: ] [T: localhost-startStop-1] Subsystem LicensingSubsystem is starting 2017-06-14 10:00:19.057-0700 [L: INFO] [O: c.t.s.s.Subsystem] [I: ] [U: SuperUser] [S: ] [T: localhost-startStop-1] Starting Subsystem [LicensingSubsystem] 2017-06-14 10:00:19.088-0700 [L: ERROR] [O: c.t.s.s.l.LicensingSubsystem] [I: ] [U: SuperUser] [S: ] [T: localhost-startStop-1] ==================================================================== 2017-06-14 10:00:19.088-0700 [L: ERROR] [O: c.t.s.s.l.LicensingSubsystem] [I: ] [U: SuperUser] [S: ] [T: localhost-startStop-1] C:\PTC\KinexForManufacturing\ThingworxPlatform\license.bin: license file does not exist! 2017-06-14 10:00:19.088-0700 [L: ERROR] [O: c.t.s.s.l.LicensingSubsystem] [I: ] [U: SuperUser] [S: ] [T: localhost-startStop-1] ==================================================================== 2017-06-14 10:00:19.088-0700 [L: WARN] [O: c.t.s.ThingWorxServer] [I: ] [U: SuperUser] [S: ] [T: localhost-startStop-1] Shutting down the Platform. Get your license installed properly and the problem should go away.

Retraining the Model in ThingWorx Analytics When using ThingWorx Analytics Products to build Prediction Models, it is not enough to end up with models that are a Technical Success. The purpose is to ultimately have models that are a Business Success. What the user would want to achieve is to have Models that remain reliable and accurate in a potentially changing production environment. Therefore, when your environment changes, the model that you have used and relied on might no longer provide the same quality of results. Hence the need to retrain your model. Types of Models to be retrained: There are currently two types of models that are created with ThingWorx Analytics: Predictive models Anomaly Detection models Each of those models could require retraining based on the context in which they are created then used. When to retrain your Model: - Predictive models: For predictive analytics models, the main initiator for retraining would be a change in the production environment. resulting in the change of collected Dataset. This could nonetheless be caused by many factors: An overall change in the business objective: This could include a change in the granularity at which the Dataset is used. An Example, in a Company HR Dataset, could be moving from making predictions on a Department Level to making predictions on an Employee Level. The addition of either new features in the Dataset or even new values in the existing features which did not figure within the values of the training dataset. This type of change in the Dataset would require the retraining of the Model. The emergence of new trends in the marketplace: These new trends would appear in the generated Datasets. This could be detected by the degradation of the results that are provided by the existing Prediction Models. - Anomaly Detection models: In anomaly detection, the need to retrain the models originates mainly from a change in what is considered to be a Normal behavior of a certain monitored property. The could be caused by the following factors: A change in the context in which the Property values are measured then monitored: An example is monitoring the Traffic in a Street in the Working weekdays while excluding the weekends then adding the Weekend days to the monitored behavior. Here the change in the Traffic is normal however would be detected as an Anomaly unless the model is retrained. A change in the Thresholds of values accepted to be normal in a certain property. An example is the temperatures measured on a running device. The Device, previously,  never run at full power when the model was built but since it started running at full power the temperature increased beyond the usual threshold and thus the model needs to be retrained to include the new Normal temperatures. Another reason that could justify retraining the anomaly detection model is simply that when the model was trained the Property values that were used were not representing its normal state. For example, the temperature of an  Engine was being measured on a "Turned off" state when we are actually trying to build a model that would detect temperature anomalies on a running Engine. This might not be an exhaustive list of the reasons that would require either a Predictive or an Anomaly Detection Model to be retrained. As a general rule of thumb, if the model starts delivering results that are below expected or if the business context for the model is not valid, then it might be a wise decision to retrain the Analytics Model.

Behavior of ThingWorx Analytics Anomaly Detection with Data Gaps In ThingWorx Analytics, Anomaly detection is performed through the ThingWatcher API framework. This is done by observing the Data from an Edge device, learning what the data stream should look like and then monitoring for any unexpected sequences of Data within the incoming Data stream. Ideally, for this process to work properly, there should be no Data Gaps. However, Data Gaps do occur, this blog describes how ThingWatcher deals with them in order to achieve high performance in anomaly detection. Data Gaps and phases affected: In anomaly detection, ThingWatcher goes through three consecutive phases which are Initializing, Calibrating and then Monitoring. Both the Initializing and Monitoring phases involve either collecting or monitoring streamed Data, so these two phases are sensitive to Data streaming Gaps. The Calibrating phase involves the use of already collected data to create the Anomaly Detection Model. Thus this phase is not directly affected by Data gaps. Dealing with Long and Short Data Gaps: Initializing Phase: During this phase, Data is collected and as part of the collection process, the sampling rate is imputed. So when short data gaps occur these are interpolated so that there are no missing values. However long Gaps might also occur. A Data gap is considered to be long if there is more than three missing Data points which should amount to three times the sampling rate. Basically, if the Timestamp on a data point is greater than the previous timestamp by more than three times the sampling rate that is considered to be a long gap. If a long gap occurs, ThingWatcher would restart the Data Collection process since long Data gaps are not acceptable. The data recollection process could be initiated three times when there are long gaps before failing if the gaps persist. The Data source would then no longer be considered reliable Monitoring Phase: In this phase, the Data stream is monitored to detect any unexpected behavior. In that case, if a short time gap occurs between the previous and the current TimedValue data points, the lookback buffer would be cleared. ThingWatcher will re-enter the Buffering state and will remain in this state until the lookback window buffer is completely filled. For more information on The functionalities of ThingWatcher, Please refer to the ThingWatcher Deployment Guide https://support.ptc.com/WCMS/files/173109/en/ThingWatcher-Deployment-Guide-8.0.pdf However, if the gaps are long and exceed three times the sampling rate, data filling could no longer be a valid solution and Data collection restarts. It is important to note that these imputed values decrease the accuracy of the Anomaly Detection Model. Therefore data monitored by ThingWatcher should be incremented in regular intervals. In general, persistent data gaps should be avoided by ensuring that data is streamed such that the timestamps increase in regular increments and any gaps that exist are generally incidental and small.

In this video we show: - how to deploy the microservices via jar files - how to setup ThingWorx to use those microservices for anomaly detection   Updated Link for access to this video:  ThingWorx Analytics: Deploying Training and Result Microservices via jar files for Anomaly Detection

This video is the 3 rd part of a series of 3 videos walking you through how to setup ThingWatcher for Anomaly Detection. In this video we will use Anomaly Mashup to visualize data received from my remote device.   Updated Link for access to this video:  Anomaly Detection 8.0:  Viewing Data via Anomaly Mashup:  Part 3 of 3

This video is the 2 nd part of a series of 3 videos walking you through how to setup ThingWatcher for Anomaly Detection. In this video you will learn how to use “Discover UI” from the “New Composer” to bind simulated data coming through KEPServer for Anomaly Detection.   Updated Link for access to this video:  Anomaly Detection 8.0: Configuring Anomaly Alerts:  Part 2 of 3

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

Key Functional Highlights ThingWorx 8.0 covers the following areas of the product portfolio:  ThingWorx Analytics, ThingWorx Utilities and ThingWorx Foundation which includes Core, Connection Server and Edge capabilities. Highlights of the release include: ThingWorx Foundation Native Industrial Connectivity: Enhancements to ThingWorx allow users to seamlessly map data from ThingWorx Industrial Connectivity to the ThingModel. With over 150 protocols supporting thousands of devices, ThingWorx Industrial Connectivity allows users to connect, monitor, and manage diverse automation devices from ThingWorx. With this new capability, users can quickly integrate industrial operations data in IoT solutions for smart, connected operations. Native AWS IoT and Azure IoT Cloud Support: ThingWorx 8 now has deeper, native integration with AWS IoT and Azure IoT Hub clouds so you can gain cost efficiencies and standardize on the device cloud provider of your choice.  This support strengthens the connection between leading cloud providers and ThingWorx. Next Generation Composer: Re-imagined Composer using modern browser concepts to improve developer efficiency including enhanced functionality, updated user interface and optimized workflows. Product Installers:  New, Docker-based product installers for Foundation and Analytics make it easy and fast for customers to get the core platform and analytics server running. Single Sign On (SSO): Provides the ability to login once and access all PTC apps and enterprise systems. License Management: Simple, automated, licensing system for collection, storage, reporting, management and auditing of licensing entitlements. Integration Connectors: Integration Connectors allow Thingworx developers and administrators quick and easy access to the data stored on external ERP, PLM, Manufacturing and other systems to quickly develop applications providing improved Contextualization and Analysis. Thingworx 8.0 delivers ‘OData’ and ‘SAP OData’ connectors plus the ability to connect to generic web services to supplement the ‘Swagger’ and ‘Windchill Swagger’ Connectors released in Thingworx 7.4. An improved mapping tool allows Business Administrators to quickly and easily transform retrieved data into a standard Thingworx format for easy consumption. Includes single sign on support for improved user experience. ThingWorx Analytics Native Anomaly Detection: ThingWorx 8 features more tightly integrated analytics capabilities, including the ability to configure anomaly alerts on properties directly from the ThingWorx Composer. ThingWatcher technology is utilized to increase machine monitoring capabilities by automatically learning normal behavior, continuously monitoring data streams and raising alerts when abnormal conditions are identified. ThingWorx Utilities Software Content Management (SCM) – Auto Retry: Provides the ability to automatically retry delivery of patches to devices if interrupted.  This ensures the ability to successfully update devices.  ThingWorx Trial Edition ThingWorx Trial Edition will be available to internal PTC resources at launch and will be made available externally on the Developer Portal shortly after launch. Developer Enablement: Enhancements have been made to the Trial Edition installation tool, providing a native installation process of the ThingWorx platform including: ThingWorx Foundation ThingWorx Utilities ThingWorx Analytics ThingWorx Industrial Connectivity Documentation ThingWorx 8.0 Reference Documents ThingWorx Analytics 8.0 Reference Documents ThingWorx Core 8.0 Release Notes ThingWorx Core Help Center ThingWorx Edge SDKs and WebSocket-based Edge MicroServer Help Center ThingWorx Connection Services Help Center ThingWorx Industrial Connectivity Help Center ThingWorx Utilities Help Center ThingWorx Utilities Installation Guide ThingWorx Analytics Help Center ThingWorx Trial Edition User Guide Additional information ThingWorx eSupport Portal ThingWorx Developer Portal ThingWorx Marketplace Download The following items are available for download from the PTC Software Download site. ThingWorx Platform – Select Release 8.0 ThingWorx Utilities – Select Release 8.0 ThingWorx Analytics – Select Release 8.0 You can also read this post in the Developer Community from Jeremy Little about the technical changes in ThingWorx 8.0.

In this video we go through the steps to install ThingWorx Analytics Server 8.0   Updated Link for access to this video:  ThingWorx Analytics Server 8.0

Please refer to the release notes: PTC Here are some common questions and answers in regards to the Uprade change: Extension: The removal of dependencies was almost impossible. Do the changes allow extension updates without removal? That is correct Is uninstalling extensions "easier" possible? For example, having extensions with many dependencies which results in a struggle when manually deleting all include files...it would be great to have just 1 uninstall function. Unfortunately, that is still the case when one is uninstalling extension Is there an easy way to see all entity dependencies on an extension (vs. on any one template etc)? Not currently at the extension level.  That's certainly something to be considered adding If one made a mistake on changing an extension mashup, how do  they recover? Is it necessary to remove and then import newer extension? Yes, at the moment that is the only recourse.

Please refer to the release notes to find information on the new features/changes: PTC Here are some common questions and answers in regards to the Installers feature: Does that mean Thingworx 8 only support docker installation? Or standalone installation is still allowed? Only if using the new installer.  The war file download will still be available for non Docker installs. The WAR files will still be available and usable  the same way as in the past.  Users only need to use Docker if they use the installer. How do customers download/build the docker image? The image is not provided separetly, it is installed and configured by the installer. Does the installer install docker when necessary as well? Or is it expected that the user already has docker installed? No, the user must install it on their operating system before using the installer.  The installer will detect if Docker is properly installed.

This blog post provide information on the technical changes in Thingworx 8.0, New Technical Changes in ThingWorx 8.0.0 Here are some common questions and answers in regards to the Licensing change: Does that mean all the extensions in the marketplace won't be free anymore? Depends on the extensions. The main extensions we are licensing for 8.0 are Navigate, Manufacturing and Utilties. We are not licensing the MailExtension on the marketplace, for example. Partners and customers can still import their custom apps/extensions If TWX connects to RP(remote platform) which has its own subscription based Flexera license (InService, for example), how does this interaction works- license validation.  Is server to sever connection counts as user login direct to PTC product? License files are per TWX instance. For RP, each would have their own license files. User counts (if entitled and enforced) are generic to each system.

This article https://support.ptc.com/appserver/cs/view/solution.jsp?n=CS264270 and the blog post provide information on the technical changes in Thingworx 8.0, New Technical Changes in ThingWorx 8.0.0 Here are some common questions and answers in regards to the change. Is there any way that one could lose access to the Appkey keystore? (restore a backup, etc) Yes, it is possible to  lose the key store. If one for some reason simply deletes it or renames it, the existing application keys would no longer be able to be decrypted - thus unusable. Is there a way to back up the appkey store and any necessary secrets such that it can be recovered then? Yes, but this would be handled at the file system, not inside of ThingWorx. We do have some best practices documented for managing the keystore. For developers who configure Edge applications and Connectors to connect to the platform, where do they copy the app key from? Are they copyring the encrypted version of the app key? They would do the same as before. We are not encrypting the app key in the UI, only on disk. Is there any way to get a summary of appkeys that are being used via URL? We do have some requirements for highlighting "repeat offenders". In 8.0, one can query the logs to find those app keys. We don't log the app key id, only the app key name.

There are a lot of new and exciting changes included in ​ThingWorx 8.0.0, which is due out today, and no doubt, you'll want to get a test environment set up to try them out.  But there are a few changes that could impact your ability to get up and running with a new server that I wanted to share with everyone. IMPORTANT – Changes to Licensing in ThingWorx 8.0.0 In ThingWorx 7.4.0, a new Licensing Subsystem was introduced, and the license file required was provided as part of the ThingWorx 7.4.0 platform download.  As of ThingWorx 8.0.0, the license.bin file will no longer be provided with the platform download, but will instead need to be downloaded from the PTC Licensing Tool on the PTC eSupport Portal. As part of the operating system specific Installing ThingWorx (OS) sections in the Installing ThingWorx 8.0 guide, additional steps have been added that outline how to use the PTC Licensing Tool to download and install the ThingWorx license file for your organization. The license file downloaded from the ThingWorx Licensing Tool must be renamed to license.bin and copied to the /ThingworxPlatform directory prior to starting ThingWorx for the first time.  The server will fail to start if it cannot find this license file. For more information:      KCS Article 264374 - ThingWorx 8.0.0 Licensing IMPORTANT – Default Administrator Password for ThingWorx Composer is Changing in 8.0.0 In order to help encourage the use of secure passwords for the Administrator account on ThingWorx servers, the default Administrator account password will be changing in version 8.0 and above.  The new Administrator password is a complex password containing mixed case and special characters. This will encourage administrators to change their default, fully-privileged account password to one that is more secure and conforms to their organizational security standards. Information about the new default password can be found in each of the operating system specific Installing ThingWorx (OS) sections of the Installing ThingWorx 8.0 guide. PTC strongly advises against the use of any default password on any product, and encourages administrators to immediately change any default password to a proper, complex password. For more information: KCS Article 264270​ - ​Unable to log into ThingWorx 8.0 Composer using the default Administrator login Application Key Usage is Changing in 8.0.0 As part of an effort to better secure the ThingWorx Platform, the use of Application Keys as URL parameters (through the ‘appkey’ parameter) is being deprecated in ThingWorx 8.0.0. For example, the following URL uses the now deprecated ‘appkey’ parameter to pass in an application key:               https://thingworx.server.com/ThingWorx/Things/MyThing/Services/MyService?appkey=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx When included in the URL, the ‘appkey’ parameter becomes a browser-cacheable, clear-text rendition of a usable application key.  A knowledgeable user could retrieve this application key from their browser history and use it to perform unauthorized actions against a ThingWorx server. For full security, GET and POST requests that are run against a ThingWorx server should be performed over an HTTPS connection and should include the required application key in the request’s headers.  Query string parameters are visible in both HTTP and HTTPS contexts, and by moving the application key into the request headers, the application key itself is encrypted as part of the HTTPS request. (Note that the application key in a header is still visible for plaintext HTTP connections though!) By default, new installations of ThingWorx 8.0.0 will have the Allow Application Key as URL Parameter option disabled.  Upgrades from previous versions of ThingWorx will retain the ability to use the ‘appkey’ query string parameter, but PTC strongly encourages customers to promptly update any solutions that are dependent on sending the appkey using a URL parameter to move to request headers instead.  Please note that a future release of ThingWorx may completely disable the use of application keys as URL parameters. The Allow Application Key as URL Parameter option can be enabled or disabled on the ThingWorx PlatformSubsystem’s configuration page, accessible at System > Subsystems > PlatformSubsystem > Configuration. For more information: KCS Article 264349 - ThingWorx Appkey URL Parameter is Deprecated as of ThingWorx 8.0.0 Changes to Default Visibility (Organizations) in ThingWorx 8.0.0 Starting in ThingWorx 8.0.0, the Everyone organization will no longer be granted default visibility across all entity collections.  Only users who are a member of the Administrator group will be able to see ThingWorx entities on a newly installed server; any additional visibility permissions will need to be explicitly granted by the Administrator. This is a change in behavior from the previous ThingWorx releases where the Everyone organization (of which the all-encompassing Users group was a member) was granted visibility access by default to all entity collections. Visibility permissions had to explicitly be removed by the Administrator during solution development, which could be overlooked. For more information: KCS Article 264351 - Changes to Default Visibility (Organizations) in ThingWorx 8.0.0

In this video we show a simple mashup and services in order to display the ThingPredictor's real time scoring results. This video applies to ThingWorx Analytics 7.4 to 8.1   Updated Link for access to this video:  Showing ThingWorx Analytics Manager's results (ThingPredictor) in a Mashup

In this blog I will be inspecting the setup below, using the REST APIs exposed by the different components (log-analysis-free guaranteed).   The components are started in stages, and I will do some exploration between each stages : EMS only EMS + LSR 1 EMS + LSR 1 + LSR 2    The REST APIs   Edge MicroServer (EMS) REST API This API is very similar to the ThingWorx platform REST API, see REST APIs Supported by WS EMS for specificity. I will be monitoring the EMS using the LocalEms virtual Thing (EMS only) ThingWorx Platform REST API This is the well known ThingWorx Core REST API -  see REST API Core Concepts I will be monitoring the EMS, from the platform, using an EMSGateway thing. The EMSGateway exposes on the platform some of the LocalEms services (like GetEdgeThings). I'm also inspecting the remote properties / services / events exposed on the things using the RemoteThing::GetRemoteMetadata service. Lua Script Resource (LSR) REST API This API largely differs from the ones above, the API documentation is served by the LSR itself (e.g. http://localhost:8001/)   I will use it to list the scripts loaded by the LSR process.  Configuration   See above diagram - Platform is listening on port 8084, no encryption, EMS and LSRs on the same host...   Platform configuration : for each edge thing, a corresponding remote thing was manually created on the platform EMSGateway1 as a EMSGateway Thing Template EMSOnlyThing as a RemoteThingWithFileTransfer LUAThing2 as a RemoteThing LUAThing1 as a RemoteThing LUAOnlyThing as a RemoteThing   EMS configuration : /etc/config.json - listening on default port 8000   {     "ws_servers": [{             "host": "tws74neo",             "port": 8084         }     ],     "appKey": "xxxxxx-5417-4248-bc01-yyyyyyy",     "logger": {         "level": "TRACE"     },     "ws_connection": {         "encryption": "none"     },     "auto_bind": [{             "name": "EMSGateway1",             "gateway": true         }, {             "name": "EMSOnlyThing",             "gateway": false         }, {             "name": "LUAThing2",             "host": "localhost",             "port": 8002,             "gateway": false         }, {             "name": "LUAThing1",             "gateway": false         }     ],     "file": {         "virtual_dirs": [{                 "emsrepository": "E:\\ptc\\ThingWorx\\EMS-5-3-2\\repositories\\data"             }         ],         "staging_dir": "E:\\ptc\\ThingWorx\\EMS-5-3-2\\repositories\\staging"     } } LSR process (1) : /etc/config.lua - listening on default port 8001 (using the out of the box sample Lua scripts)   scripts.log_level = "INFO"   scripts.LUAThing1 = {     file = "thing.lua",     template = "example", }   scripts.sample = {   file = "sample.lua" } LSR process (2) : /etc/config2.lua - listening on port 8002 (using the out of the box sample Lua scripts) This LSR process is started with command "luaScriptResource.exe -cfg .\etc\config2.lua"   scripts.log_level = "INFO" scripts.script_resource_port = 8002 scripts.LUAThing2 = {     file = "thing.lua",     template = "example", }   scripts.LUAOnlyThing = {     file = "thing.lua",     template = "example", }   Stage 1 : EMS only     ThingWorx REST API   Request: Call the GetEdgeThings service on the EMSGateway1 thing POST  twx74neo:8084/Thingworx/Things/EMSGateway1/Services/GetEdgeThings Response: As expected, only the remote things flagged as auto_bind are listed   name host port path keepalive timeout proto user accept EMSGateway1   8001.0 / 60000.0 30000.0 http   application/json EMSOnlyThing   8001.0 / 60000.0 30000.0 http   application/json LUAThing1   8001.0 / 60000.0 30000.0 http   application/json LUAThing2 localhost 8002.0 / 60000.0 30000.0 http   application/json                                                               Request: Call the GetRemoteMetadata service on the LUAThing1 thing POST  twx74neo:8084/Thingworx/Things/LUAThing1/Services/GetRemoteMetadata Response: As expected, remote properties / services and events are not available since the LSR associated with this thing is off.   Unable to Invoke Service GetRemoteMetadata on LUAThing1 : null   EMS REST API   Request: Call the GetEdgeThings service on the LocalEms virtual thing POST  localhost:8000/Thingworx/Things/LocalEms/Services/GetEdgeThings Response: output is identical to the gateway thing on the platform   { "name": "EMSGateway1", "host": "", "port": 8001, "path": "/",  "keepalive": 60000, "timeout": 30000, "proto": "http", "user": "", "accept": "application/json" }, { "name": "EMSOnlyThing", "host": "", "port": 8001, "path": "/", "keepalive": 60000, "timeout": 30000, "proto": "http", "user": "", "accept": "application/json" }, { "name": "LUAThing1", "host": "", "port": 8001, "path": "/", "keepalive": 60000, "timeout": 30000, "proto": "http", "user": "", "accept": "application/json" }, { "name": "LUAThing2", "host": "localhost", "port": 8002, "path": "/", "keepalive": 60000, "timeout": 30000, "proto": "http", "user": "", "accept": "application/json"}            LSR REST API N/A - no LSR process started yet.   Stage 2 : EMS + LSR 1 (8001)     ThingWorx REST API   Request: Call the GetEdgeThings service on the EMSGateway1 thing POST  twx74neo:8084/Thingworx/Things/EMSGateway1/Services/GetEdgeThings Response: LUAThing1 is associated to an LUA script   name host port path keepalive timeout proto user accept EMSGateway1   8001.0 / 60000.0 30000.0 http   application/json EMSOnlyThing   8001.0 / 60000.0 30000.0 http   application/json LUAThing1 localhost 8001.0 /scripts/Thingworx 60000.0 15000.0 http   application/json LUAThing2 localhost 8002.0 / 60000.0 30000.0 http   application/json   Request: Call the GetRemoteMetadata service on the LUAThing1 thing POST  twx74neo:8084/Thingworx/Things/LUAThing1/Services/GetRemoteMetadata Response: Now that the Lua script for LUAThing1 is running, remote properties / services and events are available   {"isSystemObject":false,"propertyDefinitions":{"Script_Pushed_Datetime":{"sourceType":"ThingShape","aspects":{"isReadOnly":false,"dataChangeThreshold":0,"defaultValue":1495619610000,"isPersistent":false,"pushThreshold":0,"dataChangeType":"VALUE","cacheTime":0,"pushType":"ALWAYS"},"name":"Script_Pushed_Datetime","description":"","category":"","tags":[],"baseType":"DATETIME","ordinal":0},"Pushed_InMemory_Boolean":{"sourceType":"ThingShape","aspects":....   EMS REST API      LocalEms::GetEdgeThings returns same output as EMSGateway::GetEdgeThings   LSR REST API (port 8001)   Request: List all the scripts running in the first LSR GET  localhost:8001/scripts?format=text/html Response: We find our sample script and the script associated with LUAThing1 (the Thingworx script is part of the infrastructure and always there)   Name Status Result File LUAThing1 Running   E:\ptc\ThingWorx\EMS-5-3-2\etc\thingworx\scripts\thing.lua sample Running   sample.lua Thingworx Running   E:\ptc\ThingWorx\EMS-5-3-2\etc\thingworx\scripts\thingworx.lu   Stage 3 : EMS + LSR 1 (8001) + LSR 2 (8002)     ThingWorx REST API   Request: Call the GetEdgeThings service on the EMSGateway1 thing POST  twx74neo:8084/Thingworx/Things/EMSGateway1/Services/GetEdgeThings Response: LUAOnlyThing is now listed and LUAThing2 is associated with a LUA script   name host port path keepalive timeout proto user accept EMSGateway1   8001.0 / 60000.0 30000.0 http   application/json EMSOnlyThing   8001.0 / 60000.0 30000.0 http   application/json LUAOnlyThing localhost 8002.0 /scripts/Thingworx 60000.0 15000.0 http   application/json LUAThing1 localhost 8001.0 /scripts/Thingworx 60000.0 15000.0 http   application/json LUAThing2 localhost 8002.0 /scripts/Thingworx 60000.0 15000.0 http   application/json   EMS REST API      LocalEms::GetEdgeThings returns same output as  EMSGateway::GetEdgeThings   LSR REST API (port 8002)   Request: List all the scripts running in the second LSR GET  localhost:8002/scripts?format=text/html Response: Returns the status of all the scripts currently loaded   Name Status Result File LUAOnlyThing Running   .\etc\thingworx\scripts\thing.lua LUAThing2 Running   .\etc\thingworx\scripts\thing.lua Thingworx Running   .\etc\thingworx\scripts\thingworx.lua