The entire JSON file is rather large so I've only taken out the subsection I've had an issue with.
{
"diagrams": {
"5f759d15cd046720c28531dd": {
"_id": "5f759d15cd046720c28531dd",
"offsetX": 320,
"offsetY": 42,
"zoom": 80,
"modified": 1604279356,
"nodes": {
"5f9f5c3ccd046720c28531e4": {
"nodeID": "5f9f5c3ccd046720c28531e4",
"type": "start",
"coords": [
360,
120
],
"data": {
"name": "Start",
"color": "standard",
"ports": [
{
"type": "",
"target": "5f9f5c3ccd046720c28531e6"
}
],
"steps": []
}
},
"5f9f5c3ccd046720c28531e5": {
"nodeID": "5f9f5c3ccd046720c28531e5",
"type": "block",
"coords": [
760,
120
],
"data": {
"name": "Help Message",
"color": "standard",
"steps": [
"5f9f5c3ccd046720c28531e6",
"5f9f5c3ccd046720c28531e7"
]
}
},
"5f9f5c3ccd046720c28531e6": {
"nodeID": "5f9f5c3ccd046720c28531e6",
"type": "speak",
"data": {
"randomize": false,
"dialogs": [
{
"voice": "Alexa",
"content": "You said help. Do you want to continue?"
}
],
"ports": [
{
"type": "",
"target": "5f9f5c3ccd046720c28531e7"
}
]
}
},
"5f9f5c3ccd046720c28531e7": {
"nodeID": "5f9f5c3ccd046720c28531e7",
"type": "interaction",
"data": {
"name": "Choice",
"else": {
"type": "path",
"randomize": false,
"reprompts": []
},
"choices": [
{
"intent": "",
"mappings": []
},
{
"intent": "",
"mappings": []
}
],
"reprompt": null,
"ports": [
{
"type": "else",
"target": null
},
{
"type": "",
"target": null
},
{
"type": "",
"target": "5f9f5c3ccd046720c28531e9"
}
]
}
},
"5f9f5c3ccd046720c28531e8": {
"nodeID": "5f9f5c3ccd046720c28531e8",
"type": "block",
"coords": [
1170,
260
],
"data": {
"name": "Exit",
"color": "standard",
"steps": [
"5f9f5c3ccd046720c28531e9"
]
}
},
"5f9f5c3ccd046720c28531e9": {
"nodeID": "5f9f5c3ccd046720c28531e9",
"type": "exit",
"data": {
"ports": []
}
}
},
"children": [],
"creatorID": 42661,
"variables": [],
"name": "Help Flow",
"versionID": "5f759d15cd046720c28531db"
}
}
}
The Current JSON Schema Definition I have is:
{
"$schema":"http://json-schema.org/schema#",
"type":"object",
"properties":{
"diagrams":{
"type":"object"
}
},
"required":[
"diagrams",
]
}
The problem I am having is that within diagrams contains multiple objects with a random string as the name e.g "5f759d15cd046720c28531dd".
Then within that object there are properties such as (_id, offsetX) which I want to express as well as a nodes object, which again contains multiple objects with arbitrary names e.g ("5f9f5c3ccd046720c28531e4", "5f9f5c3ccd046720c28531e5", ...) which have a unique node definition where some nodes have different properties to other nodes (nodeID, type, data vs nodeID, type, data, coords).
My question is with all these arbitrary things such as random names as well as different properties per each node. How do I turn it into 1 JSON schema definition which covers all the cases of how a diagram/node can be made.
You can do this with additionalProperties or patternProperties.
additionalProperties applies to any property that isn't declared in properties or patternProperties.
{
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"_id": { ... },
"offsetX": { ... },
...
}
}
}
Your property names appear to always be hex numbers. If you want to enforce that those property names are always hex numbers, you can use patternProperties. Any property that matches the regex must conform to that schema.
{
"type": "object",
"patternProperties": {
"^[0-9a-f]{24}$": {
"type": "object",
"properties": {
"_id": { ... },
"offsetX": { ... },
...
}
}
},
"additionalProperties": false
}
Related
I am trying to write a logic app to parse a Json Object and Update salesforce record. I am pretty new to both Salesforce and Azure logic apps, so I am trying to figure this out. Below is my Json File
{
"ContactId": null,
"Email": "asong#uog.com",
"IsInternalUpdate": false,
"Preferences": [
{
"PrefCode": "EmailOptIn",
"CurrentValue": "Yes",
"Locale": "en-US"
},
{
"PrefCode": "MobilePhone",
"CurrentValue": "1234567890",
"Locale": "en-US"
},
{
"PrefCode": "SMSOptIn",
"CurrentValue": "Yes",
"Locale": "en-US"
},
{
"PrefCode": "ProductTrends",
"CurrentValue": "ProductTrends,OffersPromotions",
"Locale": "en-US"
},
]
}
Based on email value, I need to update a custom object in Salesforce. From the preference array, Prefcode value maps to a field in Salesforce and Current value maps to field value. i.e below snippet translates to set the value for EmailOptIn field in Salesforce to "Yes"
{
"PrefCode": "EmailOptIn",
"CurrentValue": "Yes",
"Locale": "en-US"
}
So far, I was able to pass hardcoded values and successfully update salesforce record from logic app.
I am trying to set individual variables for each field, so that I can pass it directly to salesforce. I have two issues that I am running into
What is the best way to capture the field value mapping?
I have couple of fields that allow multi select, how do I set the multiselect values. Below is an example
{
"PrefCode": "ProductTrends",
"CurrentValue": "ProductTrends,OffersPromotions",
"Locale": "en-US"
}
Below is my logic app structure
1
2
What is the best way to capture the field value mapping?
I could able to achieve your requirement by constructing JSON with required details and used parse JSON step again. Below is the flow of the logic app that worked for me.
I have couple of fields that allow multi select, how do I set the multiselect values. Below is an example
I have converted the ProductTrends into array and retrieved each item using its index as below.
array(split(body('Parse_JSON_2')?['ProductTrends'],','))[0]
array(split(body('Parse_JSON_2')?['ProductTrends'],','))[1]
Alternatively, if it is possible to make things work from the target end for multiple values, you can send in array or string directly to salesforce.
Below is the complete JSON of my logic app.
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Compose": {
"inputs": {
"ContactId": null,
"Email": "asong#uog.com",
"IsInternalUpdate": false,
"Preferences": [
{
"CurrentValue": "Yes",
"Locale": "en-US",
"PrefCode": "EmailOptIn"
},
{
"CurrentValue": "1234567890",
"Locale": "en-US",
"PrefCode": "MobilePhone"
},
{
"CurrentValue": "Yes",
"Locale": "en-US",
"PrefCode": "SMSOptIn"
},
{
"CurrentValue": "ProductTrends,OffersPromotions",
"Locale": "en-US",
"PrefCode": "ProductTrends"
}
]
},
"runAfter": {},
"type": "Compose"
},
"Compose_2": {
"inputs": "#array(split(body('Parse_JSON_2')?['ProductTrends'],','))[0]",
"runAfter": {
"Parse_JSON_2": [
"Succeeded"
]
},
"type": "Compose"
},
"For_each": {
"actions": {
"Append_to_string_variable": {
"inputs": {
"name": "Preferences",
"value": "\"#{items('For_each')?['PrefCode']}\":\"#{items('For_each')?['CurrentValue']}\",\n"
},
"runAfter": {},
"type": "AppendToStringVariable"
}
},
"foreach": "#body('Parse_JSON')?['Preferences']",
"runAfter": {
"Initialize_variable": [
"Succeeded"
]
},
"type": "Foreach"
},
"Initialize_variable": {
"inputs": {
"variables": [
{
"name": "Preferences",
"type": "string"
}
]
},
"runAfter": {
"Parse_JSON": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Parse_JSON": {
"inputs": {
"content": "#outputs('Compose')",
"schema": {
"properties": {
"ContactId": {},
"Email": {
"type": "string"
},
"IsInternalUpdate": {
"type": "boolean"
},
"Preferences": {
"items": {
"properties": {
"CurrentValue": {
"type": "string"
},
"Locale": {
"type": "string"
},
"PrefCode": {
"type": "string"
}
},
"required": [
"PrefCode",
"CurrentValue",
"Locale"
],
"type": "object"
},
"type": "array"
}
},
"type": "object"
}
},
"runAfter": {
"Compose": [
"Succeeded"
]
},
"type": "ParseJson"
},
"Parse_JSON_2": {
"inputs": {
"content": "#concat('{',slice(variables('Preferences'),0,lastIndexOf(variables('Preferences'),',')),'}')",
"schema": {
"properties": {
"EmailOptIn": {
"type": "string"
},
"MobilePhone": {
"type": "string"
},
"ProductTrends": {
"type": "string"
},
"SMSOptIn": {
"type": "string"
}
},
"type": "object"
}
},
"runAfter": {
"For_each": [
"Succeeded"
]
},
"type": "ParseJson"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"manual": {
"inputs": {
"schema": {}
},
"kind": "Http",
"type": "Request"
}
}
},
"parameters": {}
}
After following the above process, I could able to get the preferences values individually.
i've log with thousands records of aggregated data in JSON:
{
"count": 25,
"domain": "domain.tld",
"geoips": {
"AU": 5,
"NZ": 20
},
"ips": {
"1.2.3.4": 5,
"1.2.3.5": 1,
"1.2.3.6": 1,
"1.2.3.7": 1,
"1.2.3.8": 1,
"1.2.3.9": 9,
"1.2.3.10": 7
},
"subdomains": {
"a.domain.tld": 1,
"b.domain.tld": 1,
"c.domain.tld": 1,
"domain.tld": 22
},
"tld": "tld",
"types": {
"1": 3,
"43": 22
}
}
and i have mapping on ES:
"mappings": {
"properties": {
"count": {
"type": "long"
},
"domain": {
"type": "keyword"
},
"ips": {
"type": "nested",
"properties": {
"key": {
"type": "keyword"
},
"val": {
"type": "long"
}
}
},
"geoips": {
"type": "nested",
"properties": {
"key": {
"type": "keyword"
},
"val": {
"type": "long"
}
}
},
"subdomains": {
"type": "nested",
"properties": {
"key": {
"type": "keyword"
},
"val": {
"type": "long"
}
}
},
"tld": {
"type": "keyword"
},
"types": {
"type": "nested",
"properties": {
"key": {
"type": "keyword"
},
"val": {
"type": "long"
}
}
}
}
}
Is there any simple way how import these lines to ES as nested objects ? If i use a bulk insert without modification, the ES will modify mapping by adding a new field for each IP/subdomain/GeoIP instead add it as simple key/val object.
Or only one way is regenerate JSON to key/val nested fields ?
Your mapping is already very good but the data doesn't fit it since the nested data type expects an array of objects, not a single object. So you'll need to transform your nested objects into array of key-value pairs like so:
...
"ips": [
{
"key": "1.2.3.4",
"val": 5
},
{
"key": "1.2.3.5",
"val": 1
},
...
],
"subdomains": [
{
"key": "a.domain.tld",
"val": 1
},
{
"key": "b.domain.tld",
"val": 1
},
...
]
...
I am trying to flatten a nested JSON returned from a Rest source. The pipeline code is as follows.
The problem here is this pipeline returns only first object from JSON dataset and skips all the rest of the rows.
Can you please guide me on how to iterate over nested objects.
Thanks
Sameet
{
"name": "STG_NCR2",
"properties": {
"activities": [
{
"name": "Copy data1",
"type": "Copy",
"dependsOn": [],
"policy": {
"timeout": "7.00:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"source": {
"type": "RestSource",
"httpRequestTimeout": "00:01:40",
"requestInterval": "00.00:00:00.010",
"requestMethod": "GET",
"additionalHeaders": {
"OData-MaxVersion": "4.0",
"OData-Version": "4.0",
"Prefer": "odata.include-annotations=*"
}
},
"sink": {
"type": "AzureSqlSink"
},
"enableStaging": false,
"translator": {
"type": "TabularTranslator",
"mappings": [
{
"source": {
"path": "$['value'][0]['tco_ncrid']"
},
"sink": {
"name": "NCRID"
}
},
{
"source": {
"path": "['tco_name']"
},
"sink": {
"name": "EquipmentSerialNumber"
}
}
],
"collectionReference": "$['value'][0]['tco_ncr_tco_equipment']"
}
},
"inputs": [
{
"referenceName": "Rest_PowerApps_NCR",
"type": "DatasetReference"
}
],
"outputs": [
{
"referenceName": "Prestaging_PowerApps_NCREquipments",
"type": "DatasetReference"
}
]
}
],
"annotations": []
}
}
The JSON is in the following format
[
{
"value":[
{
"tco_ncrid":"abc-123",
"tco_ncr_tco_equipment":[
{
"tco_name":"abc"
}
]
},
{
"tco_ncrid":"abc-456",
"tco_ncr_tco_equipment":[
{
"tco_name":"xyz"
},
{
"tco_name":"yzx"
}
}
]
]
}
]
This can be resolved by amending the translator property as follows.
"translator": {
"type": "TabularTranslator",
"mappings": [
{
"source": {
"path": "$.['value'][0].['tco_ncrid']"
},
"sink": {
"name": "NCRID",
"type": "String"
}
},
{
"source": {
"path": "$.['value'][0].['tco_text_id']"
},
"sink": {
"name": "EquipmentDescription",
"type": "String"
}
},
{
"source": {
"path": "['tco_name']"
},
"sink": {
"name": "EquipmentSerialNumber",
"type": "String"
}
}
],
"collectionReference": "$.['value'][*].['tco_ncr_tco_equipment']"
}
This code forces the pipeline to iterate over nested array but as you can see that the NCRID is hardcoded to first element of the value array. This is not exactly what I want as I am looking for all Equipment Serial Numbers against every NCRID. Still researching...
I'm trying to use an API but the documentation is really bad. I got this JSON schema but I don't understand it. What am I supposed to include in the request?
url: https://mpc.getswish.net/qrg-swish/api/v1/prefilled
I have tried this but it doesn't work:
{
"payee":{
"editable":{
"editable":"false"
},
"swishString":{
"value":"0721876507"
}
},
"size":600,
"border":20,
"transparent":false,
"format":"png"
}
Here's the JSON schema
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Swish pre-filled qr code generator",
"description": "REST interface to get a QR code that the Swish app will interpret as a pre filled code",
"definitions": {
"editable": {
"description ": "Controls if user can modify this value in Swish app or not",
"type": "object",
"properties": {
"editable": {
"type": "boolean",
"default": false
}
}
},
"swishString": {
"type": "object",
"properties": {
"value": {
"type": "string",
"maxLength": 70
}
},
"required": [
"value"
]
},
"swishNumber": {
"type": "object",
"properties": {
"value": {
"type": "number"
}
},
"required": [
"value"
]
}
},
"type": "object",
"properties": {
"format": {
"enum": [
"jpg",
"png",
"svg"
]
},
"payee": {
"description": "Payment receiver",
"allOf": [
{
"$ref": "#/definitions/editable"
},
{
"$ref": "#/definitions/swishString"
}
]
},
"amount": {
"description": "Payment amount",
"allOf": [
{
"$ref": "#/definitions/editable"
},
{
"$ref": "#/definitions/swishNumber"
}
]
},
"message": {
"description": "Message for payment",
"allOf": [
{
"$ref": "#/definitions/editable"
},
{
"$ref": "#/definitions/swishString"
}
]
},
"size": {
"description": "Size of the QR code. The code is a square, so width and height are the same. Not required is the format is svg",
"value": "number",
"minimum": 300
},
"border": {
"description": "Width of the border.",
"type": "number"
},
"transparent": {
"description": "Select background color to be transparent. Do not work with jpg format.",
"type": "boolean"
}
},
"required": [
"format"
],
"anyOf": [
{
"required": [
"payee"
]
},
{
"required": [
"amount"
]
},
{
"required": [
"message"
]
}
],
"additionalProperties": false,
"maxProperties": 5
}
The API should return a QR code.
To be honest, I have not taken the time to learn JSON schema, but your example should probably look something like this:
{
"payee": {
"value": "0721876507",
"editable": false
},
"size": 600,
"border": 20,
"transparent": false,
"format": "png"
}
There are other parameters you may choose to utilize:
{
"payee": {
"value": "1239006032",
"editable": false
},
"message": {
"value": "LIV",
"editable": true
},
"amount": {
"value": 100,
"editable": true
},
"format": "png",
"size": 300,
"border": 0,
"transparent": true
}
Honestly, I think the developers behind the Swish APIs are trying to look smart by complicating things. They should, of course, have provided example JSON data instead of forcing consumers to understand their JSON schema. Also, I believe their published schema is wrong. The second example I provided works even though it doesn't validate according to the JSON schema ("Object property count 7 exceeds maximum count of 5").
Here is a minimal and pretty useless request that returns a valid QR-code
{
"format": "png",
"size": 300
}
And here is a more usable example that works
{
"format": "png",
"size": 300,
"transparent": false,
"amount": {
"value": 999.99,
"editable": true
},
"payee": {
"value": "0701000000",
"editable": false
},
"message": {
"value": "Hello",
"editable": false
}
}
I am creating a JSON schema and want to define an array containing only exact matches for certain items:
An example of the sort of JSON (snippet) would look like:
{
"results":
[
{ "id": 1, "test": true, "volts": 700, "duration": 100 },
{ "id": 2, "test": false }
]
}
This seems to be a combination of OneOf and "additionalProperties": false but I can't work out how that should be used. So far I have:
{
"results":
{
"type": "array",
"items":
{
"type": "object",
"OneOf":
[
{
"id": { "type": "integer" },
"test": { "type": "boolean" },
"volts": { "type": "integer" },
"duration": { "type": "integer" }
},
{
"id": { "type": "integer" },
"test": { "type": "boolean" }
}
],
"additionalProperties": false
}
}
}
I'm using http://www.jsonschemavalidator.net/ to check my JSON.
But when I validate the following JSON against my schema it says it's valid; is the website incorrect or have I done something wrong?
{
"results": [
{
"fred": 7,
"id": 7,
"test": true,
"volts": 7,
"duration": 7
},
{
"fish": 7
}
]
}