Develop Reference

How to update a value inside an object which is inside array of another object in mongodb using python code

My collection looks like this
{"ingr": [
{
"ingrName": [
{
"_id": "57aa56e2a06b57b",
"name": "abc",
"type": "ingr"
}
],
"_id": {
"$oid": "62232cd70ce38c50"
},
"quantity": "1.0",
},
{
"ingr": [
{
"_id": "607e7fcca57aa",
"name": "xyz",
"type": "ingr"
}
],
"_id": {
"$oid": "62232cd70ce38c"
},
"quantity": "1.0"
}
}}
I just want to change the id and type based on the object id. what i tried is
db1.update_one({
'ingr.$._id': ObjectId("62232cd70ce38c50")
},
{
'$set': {
"ingr.ingrName.$.type":"alternate",
"ingr.ingrName.$._id":"abc123"
}
})
But the values are not changing.Help me to find the mistake I making. Thanks
expected output
{"ingr": [
{
"ingrName": [
{
"_id": "abc123",
"name": "abc",
"type": "alternate"
}
],
"_id": {
"$oid": "62232cd70ce38c50"
},
"quantity": "1.0",
}
i need to change the id and type

Best way to parse a JSON to store in SQL database (SQL stored procedure/Python)

I have a table of overly complex JSON files I'm trying to convert to tabular format to store in a SQL database. I'm pulling the JSONs from the quickbooks online API, and the format is messy to say the least.. (We're talking 7x nested JSONs for some bits of it..
The format resembles the code snippet down below. Currently I am using a bunch of OpenJSON's + Cross applys to dig down to the innermost ColData then work my way up but it looks like some of the ColData's get skipped over doing that.
Are there any better ways, using either Python (since I pull the JSON initially in Python before sending the JSON to a SQL database to parse) or SQL to convert it to tabular format besides manually trying to use OpenJSON with Cross applys?
The goal is to get all of the ColData's into a SQL table...
Thanks!
{
"Header": {
"ReportName": "BalanceSheet",
"Option": [
{
"Name": "AccountingStandard",
"Value": "GAAP"
},
{
"Name": "NoReportData",
"Value": "false"
}
],
"DateMacro": "this calendar year-to-date",
"ReportBasis": "Accrual",
"StartPeriod": "2016-01-01",
"Currency": "USD",
"EndPeriod": "2016-10-31",
"Time": "2016-10-31T09:42:21-07:00",
"SummarizeColumnsBy": "Total"
},
"Rows": {
"Row": [
{
"Header": {
"ColData": [
{
"value": "ASSETS"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"Header": {
"ColData": [
{
"value": "Current Assets"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"Header": {
"ColData": [
{
"value": "Bank Accounts"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "35",
"value": "Checking"
},
{
"value": "1350.55"
}
],
"type": "Data"
},
{
"ColData": [
{
"id": "36",
"value": "Savings"
},
{
"value": "800.00"
}
],
"type": "Data"
}
]
},
"type": "Section",
"group": "BankAccounts",
"Summary": {
"ColData": [
{
"value": "Total Bank Accounts"
},
{
"value": "2150.55"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "Accounts Receivable"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "84",
"value": "Accounts Receivable (A/R)"
},
{
"value": "6383.12"
}
],
"type": "Data"
}
]
},
"type": "Section",
"group": "AR",
"Summary": {
"ColData": [
{
"value": "Total Accounts Receivable"
},
{
"value": "6383.12"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "Other current assets"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "81",
"value": "Inventory Asset"
},
{
"value": "596.25"
}
],
"type": "Data"
},
{
"ColData": [
{
"id": "4",
"value": "Undeposited Funds"
},
{
"value": "2117.52"
}
],
"type": "Data"
}
]
},
"type": "Section",
"group": "OtherCurrentAssets",
"Summary": {
"ColData": [
{
"value": "Total Other current assets"
},
{
"value": "2713.77"
}
]
}
}
]
},
"type": "Section",
"group": "CurrentAssets",
"Summary": {
"ColData": [
{
"value": "Total Current Assets"
},
{
"value": "11247.44"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "Fixed Assets"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"Header": {
"ColData": [
{
"id": "37",
"value": "Truck"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "38",
"value": "Original Cost"
},
{
"value": "13495.00"
}
],
"type": "Data"
}
]
},
"type": "Section",
"Summary": {
"ColData": [
{
"value": "Total Truck"
},
{
"value": "13495.00"
}
]
}
}
]
},
"type": "Section",
"group": "FixedAssets",
"Summary": {
"ColData": [
{
"value": "Total Fixed Assets"
},
{
"value": "13495.00"
}
]
}
}
]
},
"type": "Section",
"group": "TotalAssets",
"Summary": {
"ColData": [
{
"value": "TOTAL ASSETS"
},
{
"value": "24742.44"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "LIABILITIES AND EQUITY"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"Header": {
"ColData": [
{
"value": "Liabilities"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"Header": {
"ColData": [
{
"value": "Current Liabilities"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"Header": {
"ColData": [
{
"value": "Accounts Payable"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "33",
"value": "Accounts Payable (A/P)"
},
{
"value": "1984.17"
}
],
"type": "Data"
}
]
},
"type": "Section",
"group": "AP",
"Summary": {
"ColData": [
{
"value": "Total Accounts Payable"
},
{
"value": "1984.17"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "Credit Cards"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "41",
"value": "Mastercard"
},
{
"value": "157.72"
}
],
"type": "Data"
}
]
},
"type": "Section",
"group": "CreditCards",
"Summary": {
"ColData": [
{
"value": "Total Credit Cards"
},
{
"value": "157.72"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "Other Current Liabilities"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "89",
"value": "Arizona Dept. of Revenue Payable"
},
{
"value": "4.55"
}
],
"type": "Data"
},
{
"ColData": [
{
"id": "90",
"value": "Board of Equalization Payable"
},
{
"value": "401.98"
}
],
"type": "Data"
},
{
"ColData": [
{
"id": "43",
"value": "Loan Payable"
},
{
"value": "4000.00"
}
],
"type": "Data"
}
]
},
"type": "Section",
"group": "OtherCurrentLiabilities",
"Summary": {
"ColData": [
{
"value": "Total Other Current Liabilities"
},
{
"value": "4406.53"
}
]
}
}
]
},
"type": "Section",
"group": "CurrentLiabilities",
"Summary": {
"ColData": [
{
"value": "Total Current Liabilities"
},
{
"value": "6548.42"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "Long-Term Liabilities"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "44",
"value": "Notes Payable"
},
{
"value": "25000.00"
}
],
"type": "Data"
}
]
},
"type": "Section",
"group": "LongTermLiabilities",
"Summary": {
"ColData": [
{
"value": "Total Long-Term Liabilities"
},
{
"value": "25000.00"
}
]
}
}
]
},
"type": "Section",
"group": "Liabilities",
"Summary": {
"ColData": [
{
"value": "Total Liabilities"
},
{
"value": "31548.42"
}
]
}
},
{
"Header": {
"ColData": [
{
"value": "Equity"
},
{
"value": ""
}
]
},
"Rows": {
"Row": [
{
"ColData": [
{
"id": "34",
"value": "Opening Balance Equity"
},
{
"value": "-9337.50"
}
],
"type": "Data"
},
{
"ColData": [
{
"id": "2",
"value": "Retained Earnings"
},
{
"value": "91.25"
}
],
"type": "Data"
},
{
"ColData": [
{
"value": "Net Income"
},
{
"value": "2440.27"
}
],
"type": "Data",
"group": "NetIncome"
}
]
},
"type": "Section",
"group": "Equity",
"Summary": {
"ColData": [
{
"value": "Total Equity"
},
{
"value": "-6805.98"
}
]
}
}
]
},
"type": "Section",
"group": "TotalLiabilitiesAndEquity",
"Summary": {
"ColData": [
{
"value": "TOTAL LIABILITIES AND EQUITY"
},
{
"value": "24742.44"
}
]
}
}
]
},
"Columns": {
"Column": [
{
"ColType": "Account",
"ColTitle": "",
"MetaData": [
{
"Name": "ColKey",
"Value": "account"
}
]
},
{
"ColType": "Money",
"ColTitle": "Total",
"MetaData": [
{
"Name": "ColKey",
"Value": "total"
}
]
}
]
}
}
Here is what I tried to get the ColData (unsuccessfully I might add), I think it might be a little too contrived to do in SQL but I'm not sure if I should continue trying this way or if there's a better way in Python:
declare #json nvarchar(max)
SELECT #json = json FROM QboApiRawJSONData WHERE ID = 2
--Outer layer of JSON breaks into 3 parts - header, columns, rows
SELECT * FROM OPENJSON(#json)
WITH
(
Rows nvarchar(max) AS JSON
) as MainLayer
CROSS APPLY OPENJSON (MainLayer.Rows)
WITH
(
Row nvarchar(max) AS JSON
) as SecondaryLayer
CROSS APPLY OPENJSON (SecondaryLayer.Row)
WITH
(
Rows nvarchar(max) AS JSON
) As ThirdLayer
CROSS APPLY OPENJSON (ThirdLayer.Rows)
WITH
(
Row nvarchar(max) AS JSON
) as FourthLayer
CROSS APPLY OPENJSON (FourthLayer.Row)
WITH
(
Rows nvarchar(max) AS JSON
) as FifthLayer
CROSS APPLY OPENJSON (FifthLayer.Rows)
WITH
(
Row nvarchar(max) AS JSON
) as SixthLayer
CROSS APPLY OPENJSON (SixthLayer.Row)
WITH
(
Rows nvarchar(max) AS JSON
) as SeventhLayer
CROSS APPLY OPENJSON (SeventhLayer.Rows)
WITH
(
Row nvarchar(max) AS JSON
) as EighthLayer
CROSS APPLY OPENJSON (EighthLayer.Row)
WITH
(
Rows nvarchar(max) AS JSON
) as LayerNine
---Things get funky here
CROSS APPLY OPENJSON (LayerNine.Rows)
WITH
(
Row nvarchar(max) AS JSON
) as LayerTen
CROSS APPLY OPENJSON (LayerTen.Row)
WITH
(
Rows nvarchar(max) AS JSON
) as LayerEleven
CROSS APPLY OPENJSON (LayerEleven.Rows)
WITH
(
Row nvarchar(max) AS JSON
) as LayerTwelve
--21 items in last col

There is JSON support for sql-server:
https://learn.microsoft.com/en-us/sql/relational-databases/json/json-data-sql-server?view=sql-server-ver15

There is a JSON storage method here: https://learn.microsoft.com/en-us/sql/relational-databases/json/store-json-documents-in-sql-tables?view=sql-server-ver15. Although it will be fairly complex here I recommend storing the JSON data as a Logs table and then following the tutorial above to see if that solves your issue.

Use Quickbooks API to get the JSON, then refer to this guide:
https://learn.microsoft.com/en-us/sql/relational-databases/json/json-data-sql-server?view=sql-server-ver15
and this guide:
https://learn.microsoft.com/en-us/sql/relational-databases/json/convert-json-data-to-rows-and-columns-with-openjson-sql-server?view=sql-server-ver15
You can also consider setting something like AWS Lambda or Google Cloud Functions if you need something more automated.

How do you deploy a python azure function with an arm template?

The following deploys a azure function that run the specified C#. How do I do the same for a function that should run python?
I tried just changing the name to __init__.py as is generated when you use the azure-function-core-tools func command with the --python switch, but couldn't even find error messages as to why things weren't working.
{
"$schema": "http://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {
"appName": {
"type": "string",
"metadata": {
"description": "The name of the function app that you wish to create."
}
},
"storageAccountType": {
"type": "string",
"defaultValue": "Standard_LRS",
"allowedValues": [
"Standard_LRS",
"Standard_GRS",
"Standard_ZRS",
"Premium_LRS"
],
"metadata": {
"description": "Storage Account type"
}
}
},
"variables": {
"functionAppName": "[parameters('appName')]",
"hostingPlanName": "[parameters('appName')]",
"storageAccountName": "[concat(uniquestring(resourceGroup().id), 'azfunctions')]"
},
"resources": [
{
"type": "Microsoft.Storage/storageAccounts",
"name": "[variables('storageAccountName')]",
"apiVersion": "2015-06-15",
"location": "[resourceGroup().location]",
"properties": {
"accountType": "[parameters('storageAccountType')]"
}
},
{
"type": "Microsoft.Web/serverfarms",
"apiVersion": "2015-04-01",
"name": "[variables('hostingPlanName')]",
"location": "[resourceGroup().location]",
"properties": {
"name": "[variables('hostingPlanName')]",
"computeMode": "Dynamic",
"sku": "Dynamic"
}
},
{
"apiVersion": "2015-08-01",
"type": "Microsoft.Web/sites",
"name": "[variables('functionAppName')]",
"location": "[resourceGroup().location]",
"kind": "functionapp",
"properties": {
"name": "[variables('functionAppName')]",
"serverFarmId": "[resourceId('Microsoft.Web/serverfarms', variables('hostingPlanName'))]"
},
"dependsOn": [
"[resourceId('Microsoft.Web/serverfarms', variables('hostingPlanName'))]",
"[resourceId('Microsoft.Storage/storageAccounts', variables('storageAccountName'))]"
],
"resources": [
{
"apiVersion": "2016-03-01",
"name": "appsettings",
"type": "config",
"dependsOn": [
"[resourceId('Microsoft.Web/sites', variables('functionAppName'))]",
"[resourceId('Microsoft.Storage/storageAccounts', variables('storageAccountName'))]"
],
"properties": {
"AzureWebJobsStorage": "[concat('DefaultEndpointsProtocol=https;AccountName=',variables('storageAccountName'),';AccountKey=',listkeys(resourceId('Microsoft.Storage/storageAccounts', variables('storageAccountName')), '2015-05-01-preview').key1,';')]",
"AzureWebJobsDashboard": "[concat('DefaultEndpointsProtocol=https;AccountName=',variables('storageAccountName'),';AccountKey=',listkeys(resourceId('Microsoft.Storage/storageAccounts', variables('storageAccountName')), '2015-05-01-preview').key1,';')]",
"FUNCTIONS_EXTENSION_VERSION": "latest"
}
},
{
"apiVersion": "2015-08-01",
"name": "TestFunctionCM",
"type": "functions",
"dependsOn": [
"[resourceId('Microsoft.Web/sites', variables('functionAppName'))]"
],
"properties": {
"config": {
"bindings": [
{
"authLevel": "anonymous",
"name": "req",
"type": "httpTrigger",
"direction": "in"
},
{
"name": "res",
"type": "http",
"direction": "out"
}
]
},
"files": {
"run.csx": "using System.Net;\r\n\r\n public static HttpResponseMessage Run(HttpRequestMessage req, TraceWriter log)\r\n\r\n {\r\n\r\nreturn req.CreateResponse(\"Hello from MyFunction\", HttpStatusCode.OK);\r\n\r\n }"
}
}
}
]
}
]
}
Thank you.

You will probably need the following:
Runtime under appsettings
"FUNCTIONS_WORKER_RUNTIME": "python"
My template looks bit different but does deploy a python function, here is the resource from the same:
{
"type": "Microsoft.Web/sites",
"apiVersion": "2018-11-01",
"name": "[parameters('name')]",
"location": "[parameters('location')]",
"dependsOn": [
"microsoft.insights/components/mycoolfunction",
"[concat('Microsoft.Web/serverfarms/', parameters('hostingPlanName'))]",
"[concat('Microsoft.Storage/storageAccounts/', parameters('storageAccountName'))]"
],
"tags": {},
"kind": "functionapp,linux",
"properties": {
"name": "[parameters('name')]",
"siteConfig": {
"appSettings": [
{
"name": "FUNCTIONS_WORKER_RUNTIME",
"value": "python"
},
{
"name": "FUNCTIONS_EXTENSION_VERSION",
"value": "~2"
},
{
"name": "APPINSIGHTS_INSTRUMENTATIONKEY",
"value": "[reference('microsoft.insights/components/mycoolfunction', '2015-05-01').InstrumentationKey]"
},
{
"name": "AzureWebJobsStorage",
"value": "[concat('DefaultEndpointsProtocol=https;AccountName=',parameters('storageAccountName'),';AccountKey=',listKeys(resourceId('Microsoft.Storage/storageAccounts', parameters('storageAccountName')), '2019-06-01').keys[0].value,';EndpointSuffix=','core.windows.net')]"
}
]
},
"serverFarmId": "[concat('/subscriptions/', parameters('subscriptionId'),'/resourcegroups/', parameters('serverFarmResourceGroup'), '/providers/Microsoft.Web/serverfarms/', parameters('hostingPlanName'))]",
"hostingEnvironment": "[parameters('hostingEnvironment')]",
"clientAffinityEnabled": false
}
}

Google Assistant API V2 userstorage

I'm attempting to develop a Google Action with the Dialogflow v2 API
My function saves a value to userstorage as follows
def save_value(value):
res = {
"fulfillmentText": "Set value to {}".format(int(value)),
"payload": {
"google": {
"userStorage": str(value)
}
}
}
print ("Saved value")
response = jsonify(res)
return response
And I get the following back from testing in Dialogflow
{
"fulfillmentText": "Set value to 36237269",
"payload": {
"google": {
"userStorage": "36237269"
}
}
}
This works for the duration of session, I am able to use this in later intents via
value = request_json['originalRequest']['data']['user']['userStorage']
However, the data is only stored for one session - if I invoke my action again, there is nothing saved.
Is this the correct way of using userstorage? Has anyone successfully used it with Python?
Failed "response"
{
"responseMetadata": {
"status": {
"code": 10,
"message": "Failed to parse Dialogflow response into AppResponse because of empty speech response",
"details": [
{
"#type": "type.googleapis.com/google.protobuf.Value",
"value": "{\"id\":\"816605a7-f7e0-4d37-a490-c84ff63fb7dd\",\"timestamp\":\"2018-11-08T17:18:49.422Z\",\"lang\":\"en-us\",\"result\":{},\"alternateResult\":{},\"status\":{\"code\":206,\"errorType\":\"partial_content\",\"errorDetails\":\"Webhook call failed. Error: 500 Internal Server Error\"},\"sessionId\":\"ABwppHHai3qsY2WPZWezmh9Q_bUF45aD51GbQ81sUDF7iSrRLA2m8KFgZ1ZYavnCv3fAckW1tcoJdydZTXQY5Nw\"}"
}
]
}
}
}
Working "response"
{
"conversationToken": "[]",
"finalResponse": {
"richResponse": {
"items": [
{
"simpleResponse": {
"textToSpeech": "Text"
}
}
]
}
},
"responseMetadata": {
"status": {
"message": "Success (200)"
},
"queryMatchInfo": {
"queryMatched": true,
"intent": "047ad9d9-0180-47f9-88bd-e5ffc8936c08"
}
},
"userStorage": "36237269"
}
Working "Request"
{
"user": {
"userId": "ABwppHE5H0FKrXKk8PjJyzZJ12OSMQcjxuT2NnfPAgLvai0UsfWEoYE8R_L8qLQdqY29sOnsZhQhE5G4XVVXiGs",
"locale": "en-US",
"lastSeen": "2018-11-08T17:18:16Z",
"userStorage": "36237269"
},
"conversation": {
"conversationId": "ABwppHE6BwK2zIBKxHA8hc9uBGumVgKbbNGHhRVFz7O6yrxxa1WJ_xtKNqhesj3EwNCVlestM-bF6tDWzZhqUXE",
"type": "ACTIVE",
"conversationToken": "[]"
},
"inputs": [
{
"intent": "actions.intent.TEXT",
"rawInputs": [
{
"inputType": "KEYBOARD",
"query": "when is the next bus"
}
],
"arguments": [
{
"name": "text",
"rawText": "when is the next bus",
"textValue": "when is the next bus"
}
]
}
],
"surface": {
"capabilities": [
{
"name": "actions.capability.MEDIA_RESPONSE_AUDIO"
},
{
"name": "actions.capability.WEB_BROWSER"
},
{
"name": "actions.capability.AUDIO_OUTPUT"
},
{
"name": "actions.capability.SCREEN_OUTPUT"
}
]
},
"isInSandbox": true,
"availableSurfaces": [
{
"capabilities": [
{
"name": "actions.capability.WEB_BROWSER"
},
{
"name": "actions.capability.AUDIO_OUTPUT"
},
{
"name": "actions.capability.SCREEN_OUTPUT"
}
]
}
],
"requestType": "SIMULATOR"
}
Failed "request"
{
"user": {
"userId": "ABwppHE5H0FKrXKk8PjJyzZJ12OSMQcjxuT2NnfPAgLvai0UsfWEoYE8R_L8qLQdqY29sOnsZhQhE5G4XVVXiGs",
"locale": "en-US",
"lastSeen": "2018-11-08T17:18:41Z"
},
"conversation": {
"conversationId": "ABwppHHai3qsY2WPZWezmh9Q_bUF45aD51GbQ81sUDF7iSrRLA2m8KFgZ1ZYavnCv3fAckW1tcoJdydZTXQY5Nw",
"type": "ACTIVE",
"conversationToken": "[]"
},
"inputs": [
{
"intent": "actions.intent.TEXT",
"rawInputs": [
{
"inputType": "KEYBOARD",
"query": "when is the next bus"
}
],
"arguments": [
{
"name": "text",
"rawText": "when is the next bus",
"textValue": "when is the next bus"
}
]
}
],
"surface": {
"capabilities": [
{
"name": "actions.capability.WEB_BROWSER"
},
{
"name": "actions.capability.MEDIA_RESPONSE_AUDIO"
},
{
"name": "actions.capability.SCREEN_OUTPUT"
},
{
"name": "actions.capability.AUDIO_OUTPUT"
}
]
},
"isInSandbox": true,
"availableSurfaces": [
{
"capabilities": [
{
"name": "actions.capability.WEB_BROWSER"
},
{
"name": "actions.capability.SCREEN_OUTPUT"
},
{
"name": "actions.capability.AUDIO_OUTPUT"
}
]
}
],
"requestType": "SIMULATOR"
}

Can't trigger custom actions on google assistant sdk

After following all the steps given in - https://developers.google.com/assistant/sdk/guides/service/python/ , I was able to set up the Google assistant SDK and could run the sample Blinking LED code. However, when I tried to add my own custom action, Assistant could not detect the query I wanted it to recognize. Below is the code I used. What am I missing?
{
"manifest": {
"displayName": "Start Something",
"invocationName": "Start Something",
"category": "PRODUCTIVITY"
},
"actions": [
{
"name": "com.example.actions.StartSomething",
"availability": {
"deviceClasses": [
{
"assistantSdkDevice": {}
}
]
},
"intent": {
"name": "com.example.intents.StartSomething",
"parameters": [
{
"name": "actname",
"type" : "SchemaOrg_Text"
}
],
"trigger": {
"queryPatterns": [
"start ($SchemaOrg_Text:actname)?",
"start this ($SchemaOrg_Text:actname)? online"
]
}
},
"fulfillment": {
"staticFulfillment": {
"templatedResponse": {
"items": [
{
"simpleResponse": {
"textToSpeech": "Starting $actname online"
}
},
{
"deviceExecution": {
"command": "com.example.commands.StartSomething",
"params": {
"testname": "$actname"
}
}
}
]
}
}
}
}
],
"types": [
{
"name": "$actname",
"entities": [
{
"key": "games",
"synonyms": [
"fun",
"time killer"
]
}
]
}
]
}

The issue is that you're stating that actname is a text schema type, which isn't supported in the triggering. You'd need to instead use a separate type, which you do declare at the bottom. You should change the type of your parameters, like in the documented example.