Accepted Solutions
The ordering of the data shouldn't matter as the data will be in CSV format and the CSV data has a header describing the column:
If you really need to order the data, the simplest way will be to add another Select action after the apply to each loop. Add your column names in the order you require them along with their expressions
>>How I can custom columns like phone number, Language if they are coming from other sources?
I dont think there is going to be an easy way for you to merge multiple data sources into a single data source. Perhaps the best option could be to save each person record into a SharePoint list, then update each person record with data from the other sources. The list would contain all the columns (fields) you need to populate and update. You will need a way to identify each person in all your data sources, perhaps using the email address as the identifier?
Ellis
Updated: I realised I missed the Accepted property from the source data.
I have added this below as expression (4):
The expressions used are:
1: items('Apply_to_each')?['formResponse']?['answers']
2: item()?['question~']?['name']
3: item()?['answerDetails']?['com.linkedin.ads.TextQuestionAnswer']?['answer']
4: items('Apply_to_each')?['formResponse']?['consentResponses']?[0]?['accepted']
Ellis
Here is a visual explanation of what is happening to the data, in the Select and Append to Array action:
The replace function in the Append to array vaiable action:
json(slice(replace(string(body('Select')), '},{',','),1,-1))
achieves the following:
Although the "Accepted" property is duplicated, there can only be one Accept property value in the JSON object for each person. This property will only appear once after the string is converted to a JSON object in step 4.
This is the resulting string after the slice operation:
This is the resulting JSON object:
Ellis
Hi @PowerUser0 ,
Here is one possible solution. I've put the data from the elements array in an array variable:
The varArray will be used to store the extracted data, and will be used to create the CSV or HTML table:
Loop trough each data item, and "reformat" the data:
The expressions used are:
1: items('Apply_to_each')?['formResponse']?['answers']
2: item()?['question~']?['name']
3: item()?['answerDetails']?['com.linkedin.ads.TextQuestionAnswer']?['answer']
4: json(slice(replace(string(body('Select')), '},{',','),1,-1))
Create a CSV table:
Create a HTML table:
The runtime output:
The runtime output showing the HTML table:
Hope this helps.
Ellis
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Hi @ekarim2020
Thanks for your quick response, all the expressions are working fine, but the last one is not working for me,
here is the error screenshot
The ordering of the data shouldn't matter as the data will be in CSV format and the CSV data has a header describing the column:
If you really need to order the data, the simplest way will be to add another Select action after the apply to each loop. Add your column names in the order you require them along with their expressions
>>How I can custom columns like phone number, Language if they are coming from other sources?
I dont think there is going to be an easy way for you to merge multiple data sources into a single data source. Perhaps the best option could be to save each person record into a SharePoint list, then update each person record with data from the other sources. The list would contain all the columns (fields) you need to populate and update. You will need a way to identify each person in all your data sources, perhaps using the email address as the identifier?
Ellis
Updated: I realised I missed the Accepted property from the source data.
I have added this below as expression (4):
The expressions used are:
1: items('Apply_to_each')?['formResponse']?['answers']
2: item()?['question~']?['name']
3: item()?['answerDetails']?['com.linkedin.ads.TextQuestionAnswer']?['answer']
4: items('Apply_to_each')?['formResponse']?['consentResponses']?[0]?['accepted']
Ellis
Here is a visual explanation of what is happening to the data, in the Select and Append to Array action:
The replace function in the Append to array vaiable action:
json(slice(replace(string(body('Select')), '},{',','),1,-1))
achieves the following:
Although the "Accepted" property is duplicated, there can only be one Accept property value in the JSON object for each person. This property will only appear once after the string is converted to a JSON object in step 4.
This is the resulting string after the slice operation:
This is the resulting JSON object:
Ellis
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