can you please suggest me easy method with the below JSON body as JSON generator. I don't whether I made the correct JSON generator. I created a class that has both JSON generator and HTTP post method however this code is not with only one record,Ä£.I'm not sure how to create a JSON generator in the apex, struggling with JSON generator for making an HTTP request. The generator has a number of options for. NET types using the JSchemaGenerator object. For simplicity, we added a schema that only contains a name property, and provided an array of examples.Īfter that, we just generate the object like we did in the previous section.I'm new in Apex and we have a requirement, Need to send a record from Salesforce to an external system using Rest API whenever a record is created in Salesforce, I need to send a couple of SF fields to the external system along with the External system required field's Json.NET Schema supports automatically generating JSON Schemas for. You can check below a simple example where we are making use of this option (notice that we are setting it to true at the beginning of the code). When set to true, it will return a random value from the examples array, if it exists. The one we are interested on is called useExamplesValue. You can check the full list of options here. Nonetheless, there is a method called option on the jsf object that we can call to set some configurations. In this particular application of generating testing data, the examples array can also be used by the package to retrieve values. Note that these examples are not used for the actual schema validation but may be helpful to document it. The examples keyword allows to specify an array of examples that validate against the schema. We are not going to cover those more advanced use cases on this tutorial but rather a simpler alternative: the examples keyword of the JSON schema. Providing custom data examplesĪs mentioned before, we can use additional data generators to generate more specific data for some fields, if needed. Take in consideration that running the previous code multiple times will give different results, since the data is randomly generated.įigure 1 â Output of the program, showing the generated object with fake data. You can generate multiple JSON files at the same time (exported to a single ZIP file). You could retrieve all records of this type with the following log query. This tool allows you to generate random JSON files from a template. The JSON key-value pairs will be arranged and validation will be performed on the given data set. Click on the Validate JSON button to validate it. Now copy the content and paste here to validate if the created JSON is valid or not. Give a proper meaningful name to your project and provide the location. Letâs execute the program and create our JSON file with the array. For example, the custom tag tag in Azure Monitor with a record type of tomcatCL. Select Visual C from the left-hand panel and select console application from the associated list displayed. JSON Buddy is a built-in text editor for JSON and JSON schema with the feature of syntax-coloring, auto-completion, folding makes it easy to edit and create the. For more information, see Convert JSON Data to. If you must create a query or report on JSON data, you can easily convert JSON data to rows and columns by calling the OPENJSON rowset function. To query JSON data, you can use standard T-SQL. For example, Faker.js allows to generate random people names, which could have been used in this use case. The data will be collected in Azure Monitor with a record type of CL. You don't need a custom query language to query JSON in SQL Server.This allows to generate more realistic data if needed. The basic pattern is to read in data (in this case, JSON with no geometry, but it could be any data in FME), use a JSONTemplater to create FME attributes. However, additional data generators such as Faker.js or Chance.js can be added, as can be seen here. Naturally, since the type of the property in the JSON schema was a string, there was no additional information that allowed to generate more realistic data. Note that, for the name, we obtained a random string that is not a person name. As can be seen, we got an object that conforms with our schema. It provides an opportunity generate any data and in any quantity. You should get an output similar to figure 1. JSON Generator was created in order to help with this. Iâll be using Visual Studio Code with the Code Runner extension. To test the previous code, simply run it in a tool of your choice. Const jsf = require('json-schema-faker') Ĭonst schemaAsObject = JSON.parse(schema) Ĭonst obj = jsf.generate(schemaAsObject)
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