We are currently using GA4 data API and faced the issue when custom dimensions returns value "(not set)".
We were using the following article to set custom dimension for the session count, but we still receiving "(not set)" values.
Example of request:
{
"dateRanges": [
{
"startDate": "2021-09-01",
"endDate": "2021-09-05"
}
],
"offset": 0,
"limit": 100,
"dimensionFilter": {
"filter": {
"fieldName": "eventName",
"stringFilter": {
"matchType": 1,
"value": "screen_view",
"caseSensitive": true
}
}
},
"dimensions": [
{
"name": "customUser:applicationID"
},
{
"name": "customEvent:ga_session_number"
},
{
"name": "dateHour"
},
{
"name": "platform"
},
{
"name": "sessionSource"
},
{
"name": "sessionMedium"
},
{
"name": "sessionCampaignName"
},
{
"name": "deviceCategory"
}
],
"metrics": [
{
"name": "userEngagementDuration"
}
]
}
Does anybody have any idea why it may happen?
Related
API Request
/store-api/product-listing/{categoryId}
I want each product in the API response to have available color variants. Because I want to show color variants on the product list page. But currently this data is not provided by the shopware 6 api.
I've tried to add this data by using associations but it didnt help.
Request Body
{
"includes": {
"product": ["id", "productNumber", "cover", "options"]
},
"associations": {
"options": {
"media": []
}
}
}
The request body looks to be correct. If the product is a variant then it should have content for options.
To verify try the following request body:
{
"limit": 1,
"includes": {
"product": ["id", "productNumber", "options"],
"property_group_option": ["name", "group"],
"property_group": ["name"]
},
"associations": {
"options": {
"associations": {
"group": []
}
}
},
"filters": [
{
"type": "not",
"operator": "and",
"queries": [
{
"type": "equals",
"field": "parentId",
"value": null
}
]
}
]
}
This should yield a single variant.
Response should look similar to this:
{
"entity": "product",
"total": 1,
"aggregations": [],
"page": 1,
"limit": 1,
"elements": [
{
"productNumber": "10042.1",
"options": [
{
"name": "linen",
"group": {
"name": "textile",
"apiAlias": "property_group"
},
"apiAlias": "property_group_option"
},
{
"name": "35",
"group": {
"name": "size",
"apiAlias": "property_group"
},
"apiAlias": "property_group_option"
},
{
"name": "chartreuse",
"group": {
"name": "shirt-color",
"apiAlias": "property_group"
},
"apiAlias": "property_group_option"
}
],
"id": "0002ea44c49c41ecb91c43e7e49e422d",
"apiAlias": "product"
}
],
"states": [],
"apiAlias": "dal_entity_search_result"
}
We are tring to enrich a profil using UpdateProperties event.
Something wrong, it didn't work.
Step of our process :
Search of the profil :
Use of the prive API /profiles/search
So we find a profil and get the profilId "60de10fe-e6ff-11ec-8fea-0242ac120002" for next step.
Enrich profil :
Use of the API public /context.json to post the json
{
"sessionId": null,
"profileId": "60de10fe-e6ff-11ec-8fea-0242ac120002",
"events": [
{
"itemType": "event",
"scope": "myScope",
"eventType": "updateProperties",
"properties": {
"update": {
"properties.age": "24"
},
"add": {
"properties.kids" : "1"
}
}
}
]
}
Response :
{
"profileId": "60de10fe-e6ff-11ec-8fea-0242ac120002",
"sessionId": null,
"profileProperties": null,
"sessionProperties": null,
"profileSegments": null,
"profileScores": null,
"filteringResults": null,
"processedEvents": 1,
"personalizations": null,
"trackedConditions": [
{
"parameterValues": {
"operator": "and",
"subConditions": [
{
"parameterValues": {
"formId": "zoneLeadFormEvent"
},
"type": "formEventCondition"
}
]
},
"type": "booleanCondition"
},
{
"parameterValues": {
"formId": "testFormTracking",
"pagePath": "/tracker/"
},
"type": "formEventCondition"
},
{
"parameterValues": {
"formId": "searchForm"
},
"type": "formEventCondition"
},
{
"parameterValues": {
"formId": "advancedSearchForm"
},
"type": "formEventCondition"
}
],
"anonymousBrowsing": false,
"consents": {}
}
Validation of the profile changes
Get /cxs/profiles/60de10fe-e6ff-11ec-8fea-0242ac120002
So, the properties are not updated.
We use a rules the merge the profil on a custom identifier :
{
"metadata": {
"id": "update_with_custom_identifier",
"name": "UpdateWithCustomIdentifier",
"description": "Copy my properties to profile properties on update"
},
"condition": {
"parameterValues": {
"subConditions": [
{
"parameterValues": {
},
"type": "updatePropertiesEventCondition"
}
],
"operator": "and"
},
"type": "booleanCondition"
},
"actions": [
{
"parameterValues": {
"mergeProfilePropertyValue": "eventProperty::target.properties.myIdentifier",
"mergeProfilePropertyName": "mergeCustomIdentifier"
},
"type": "mergeProfilesOnPropertyAction"
},
{
"parameterValues": {
},
"type": "allEventToProfilePropertiesAction"
}
]
}
What's the good method ?
Thanks in advance
I create a workflow with logicAPP. The goal is to notify a team when patch is missing for VM. I use azure monitor in the logic app to set the query. I decided to put after the Azure Monitor , a condition to know if the query table is empty or have data. if the table is empty, the logix is true , so it does'nt send notification, and when its false , it sends notification.
When I run , I got a logic errors. Normally , the table has not data but after condition , the function empty([my_table]) returns false and sends me notification with the result ("The query yielded no data")
what is the problem ??
Thanks
Based on the above shared requirement we have created the logic app & tested it our local environment , it is working fine.
Below is the complete logic code :
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Condition_2": {
"actions": {
"Terminate_2": {
"inputs": {
"runStatus": "Cancelled"
},
"runAfter": {},
"type": "Terminate"
}
},
"else": {
"actions": {
"Send_an_email_(V2)_2": {
"inputs": {
"body": {
"Body": "<p>#{base64ToString(body('Run_query_and_visualize_results')?['body'])}</p>",
"Subject": "list of vm from update management ",
"To": "<UserEmailId>"
},
"host": {
"connection": {
"name": "#parameters('$connections')['office365']['connectionId']"
}
},
"method": "post",
"path": "/v2/Mail"
},
"runAfter": {},
"type": "ApiConnection"
}
}
},
"expression": {
"and": [
{
"equals": [
"#length(body('Run_query_and_visualize_results')?['body'])",
0
]
}
]
},
"runAfter": {
"Run_query_and_visualize_results": [
"Succeeded"
]
},
"type": "If"
},
"Run_query_and_visualize_results": {
"inputs": {
"body": "Update\n| where Classification == 'Security Updates' or Classification == 'Critical Updates'\n| where UpdateState == 'Needed'\n| summarize by Computer,ResourceGroup,Classification,UpdateState\n|sort by Computer",
"host": {
"connection": {
"name": "#parameters('$connections')['azuremonitorlogs']['connectionId']"
}
},
"method": "post",
"path": "/visualizeQuery",
"queries": {
"resourcegroups": "<Resource_group_Name",
"resourcename": "<log analytics workspacename",
"resourcetype": "Log Analytics Workspace",
"subscriptions": "<subcription_id>",
"timerange": "Last 12 hours",
"visType": "Html Table"
}
},
"runAfter": {},
"type": "ApiConnection"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {
"$connections": {
"defaultValue": {},
"type": "Object"
}
},
"triggers": {
"Recurrence": {
"evaluatedRecurrence": {
"frequency": "Hour",
"interval": 3
},
"recurrence": {
"frequency": "Hour",
"interval": 3
},
"type": "Recurrence"
}
}
},
"parameters": {
"$connections": {
"value": {
"azuremonitorlogs": {
"connectionId": "/subscriptions/<subcription-id>/resourceGroups/<resource-group>/providers/Microsoft.Web/connections/azuremonitorlogs",
"connectionName": "azuremonitorlogs",
"id": "/subscriptions/<subcription-id>/providers/Microsoft.Web/locations/northcentralus/managedApis/azuremonitorlogs"
},
"office365": {
"connectionId": "/subscriptions/<subcription-id>/resourceGroups/<resource-group>/providers/Microsoft.Web/connections/office365",
"connectionName": "office365",
"id": "/subscriptions/<subcription-id>/providers/Microsoft.Web/locations/northcentralus/managedApis/office365"
}
}
}
}
}
please find the reference output of the above logic sample run :
I am collecting data from sensors and upload to AZURE cosmo. My logic app on AZURE keep failing and show the following message
{
"status": 400,
"message": "We couldn't convert to Number.\r\n inner exception: We
couldn't convert to Number.\r\nclientRequestId:xxxxxxx",
"source": "sql-ea.azconn-ea.p.azurewebsites.net"
}
Below are the input data from cosmo. I saw that the input data has shown "ovf" and "inf". I have tried convert the data type of that column to other data type like bigiant and numeric and resubmitted. Still did not fixed that.
{
"Device": "DL084",
"Device_Group": "DLL",
"Time": "2019-09-04T11:45:20.0000000",
"acc_x_avg": "ovf",
"acc_x_stdev": "inf",
"acc_y_avg": "3832.88",
"acc_y_stdev": "2850.45",
"acc_z_avg": "13304.38",
"acc_z_stdev": "2289.86",
"cc_volt": "3.900293",
"cp_volt": "1.940371",
"fp_volt": "0.718475",
"id": "xxxxxxxxxxxxxxxxxxxx",
"ls_volt": "4.882698",
"millis": "1073760.00",
"rs_rpm": "0.00",
"smp_volt": "1.070381"
}
I have also tried to convert the data to string. And it will show
"Failed to execute query. Error: Operand type clash: numeric is
incompatible with ntext"
The question is how can I eliminate this error? How can I know the error is definitely due to the "inf" and "ovf" error?
The logic app code is as below
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"For_each": {
"actions": {
"Delete_a_document": {
"inputs": {
"host": {
"connection": {
"name": "#parameters('$connections')['documentdb']['connectionId']"
}
},
"method": "delete",
"path": "/dbs/#{encodeURIComponent('iot')}/colls/#{encodeURIComponent('messages')}/docs/#{encodeURIComponent(items('For_each')['id'])}"
},
"runAfter": {
"Insert_row": [
"Succeeded"
]
},
"type": "ApiConnection"
},
"Insert_row": {
"inputs": {
"body": {
"Device": "#{item()['device']}",
"Device_Group": "#{items('For_each')['devicegroup']}",
"Time": "#{addHours(addSeconds('1970-01-01 00:00:00', int(items('For_each')['time'])), 8)}",
"acc_x_avg": "#items('For_each')['acc_x_avg']",
"acc_x_stdev": "#items('For_each')['acc_x_stdev']",
"acc_y_avg": "#items('For_each')['acc_y_avg']",
"acc_y_stdev": "#items('For_each')['acc_y_stdev']",
"acc_z_avg": "#items('For_each')['acc_z_avg']",
"acc_z_stdev": "#items('For_each')['acc_z_stdev']",
"cc_volt": "#items('For_each')['cc_volt']",
"cp_volt": "#items('For_each')['cp_volt']",
"fp_volt": "#items('For_each')['fp_volt']",
"id": "#{guid()}",
"ls_volt": "#items('For_each')['ls_volt']",
"millis": "#items('For_each')['millis']",
"rs_rpm": "#items('For_each')['rs_rpm']",
"smp_volt": "#items('For_each')['smp_volt']"
},
"host": {
"connection": {
"name": "#parameters('$connections')['sql']['connectionId']"
}
},
"method": "post",
"path": "/datasets/default/tables/#{encodeURIComponent(encodeURIComponent('[dbo].[RCD]'))}/items"
},
"runAfter": {},
"type": "ApiConnection"
}
},
"foreach": "#body('Query_documents')?['Documents']",
"runAfter": {
"Query_documents": [
"Succeeded"
]
},
"type": "Foreach"
},
"Query_documents": {
"inputs": {
"body": {
"query": "SELECT \t\t * \nFROM \t\t\tc \nWHERE \t\t\tc.devicegroup = 'DLL' ORDER BY c._ts"
},
"headers": {
"x-ms-max-item-count": 1000
},
"host": {
"connection": {
"name": "#parameters('$connections')['documentdb']['connectionId']"
}
},
"method": "post",
"path": "/dbs/#{encodeURIComponent('iot')}/colls/#{encodeURIComponent('messages')}/query"
},
"runAfter": {},
"type": "ApiConnection"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {
"$connections": {
"defaultValue": {},
"type": "Object"
}
},
"triggers": {
"Recurrence": {
"recurrence": {
"frequency": "Minute",
"interval": 30
},
"type": "Recurrence"
}
}
}
}
I'm trying to get the correct JSON payload to consume via JSON REST a Tensorflow Serve model, that is supped to have as input an array with an array of two float.
Here is the medatata:
{
"model_spec": {
"name": "saved_model.pb",
"signature_name": "",
"version": "3"
},
"metadata": {
"signature_def": {
"signature_def": {
"serving_default": {
"inputs": {
"inputs": {
"dtype": "DT_FLOAT",
"tensor_shape": {
"dim": [
{
"size": "-1",
"name": ""
},
{
"size": "23",
"name": ""
},
{
"size": "2",
"name": ""
}
],
"unknown_rank": false
},
"name": "lstm_1_input:0"
}
},
"outputs": {
"prediction": {
"dtype": "DT_FLOAT",
"tensor_shape": {
"dim": [
{
"size": "-1",
"name": ""
},
{
"size": "1",
"name": ""
}
],
"unknown_rank": false
},
"name": "dense_1/BiasAdd:0"
}
},
"method_name": "tensorflow/serving/predict"
}
}
}
}
}
I tried many different JSON structures but for the moment nothing likes to Tensorflow Serve.
What is needed to uniquely identify the necessary payload?