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Anonymous
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Create JSON from Teams Message

How can I make the body of a message received in a channel in Teams (coming from another application by webhook) be mapped and understood as JSON by Power Automate so that I can use the variables individually along the flow

text sent as a message on the channel.

Name: AAAA
Login: BBB
email: CCCC

 

exemple

Captura de Tela 2022-10-31 às 17.25.51.png

 

after converting to JSON I would like to be able to use each piece of information (name, login, email..) individually along the flow

1 ACCEPTED SOLUTION

Accepted Solutions

I've created a sample flow that should get what you're after.

 

Assumptions:

  • You will always have Name, Login, and Email in the message with the data for each separated with a colon :

 

Below is the full flow. I'll go into each of the actions.

grantjenkins_0-1667268691089.png

 

The trigger is: When a new channel message is added, which I'm assuming you already have to pick up new messages.

 

Html to text removes all the HTML and just leaves the raw text and any new line characters. The input is the Message body content from the trigger.

grantjenkins_1-1667268813726.png

 

The Filter array takes in an expression which is your Html to text output, split by new line. The expression is:

split(outputs('Html_to_text')?['body'], decodeUriComponent('%0A'))

Note that decodeUriComponent('%0A') represents a new line character.

 

The item represents each of the items in the array. For this we are testing to see if the item is NOT empty, which will end up removing all the empty lines from our initial output. The expression we use for item is:

item()

grantjenkins_2-1667269086719.png

 

Finally, we use Parse JSON so we can get our fields available to use within the rest of the flow. For this we input a JSON object with the Name, Login and Email as our properties. And for the values we need to split each line by ": " then get just the value part (index 1).

grantjenkins_5-1667269349809.png

 

The input for Name, Login and Email is using the following expressions:

split(body('Filter_array')[0], ': ')[1]
split(body('Filter_array')[1], ': ')[1]
split(body('Filter_array')[2], ': ')[1]

 

The JSON is:

{
  "Name": @{split(body('Filter_array')[0], ': ')[1]},
  "Login": @{split(body('Filter_array')[1], ': ')[1]},
  "Email": @{split(body('Filter_array')[2], ': ')[1]}
}

 

And the schema to get our properties is:

{
    "type": "object",
    "properties": {
        "Name": {
            "type": "string"
        },
        "Login": {
            "type": "string"
        },
        "Email": {
            "type": "string"
        }
    }
}

 

You should now see the properties from Parse JSON that you can use.

grantjenkins_6-1667269467900.png

 


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View solution in original post

3 REPLIES 3

You can trigger the flow on each new message in the channel.

 

With the split expression you can cut out the individual parts of the message that you need in compose actions and then do with them what you need to do.

You'll have to fiddle with it a bit, but you'll get it to work that way eventually.

__________________________________
Please mark topics as solved if they are and give kudos to make people happy 🙂
Always interested to hear about solutions/problems in the education sector.

I've created a sample flow that should get what you're after.

 

Assumptions:

  • You will always have Name, Login, and Email in the message with the data for each separated with a colon :

 

Below is the full flow. I'll go into each of the actions.

grantjenkins_0-1667268691089.png

 

The trigger is: When a new channel message is added, which I'm assuming you already have to pick up new messages.

 

Html to text removes all the HTML and just leaves the raw text and any new line characters. The input is the Message body content from the trigger.

grantjenkins_1-1667268813726.png

 

The Filter array takes in an expression which is your Html to text output, split by new line. The expression is:

split(outputs('Html_to_text')?['body'], decodeUriComponent('%0A'))

Note that decodeUriComponent('%0A') represents a new line character.

 

The item represents each of the items in the array. For this we are testing to see if the item is NOT empty, which will end up removing all the empty lines from our initial output. The expression we use for item is:

item()

grantjenkins_2-1667269086719.png

 

Finally, we use Parse JSON so we can get our fields available to use within the rest of the flow. For this we input a JSON object with the Name, Login and Email as our properties. And for the values we need to split each line by ": " then get just the value part (index 1).

grantjenkins_5-1667269349809.png

 

The input for Name, Login and Email is using the following expressions:

split(body('Filter_array')[0], ': ')[1]
split(body('Filter_array')[1], ': ')[1]
split(body('Filter_array')[2], ': ')[1]

 

The JSON is:

{
  "Name": @{split(body('Filter_array')[0], ': ')[1]},
  "Login": @{split(body('Filter_array')[1], ': ')[1]},
  "Email": @{split(body('Filter_array')[2], ': ')[1]}
}

 

And the schema to get our properties is:

{
    "type": "object",
    "properties": {
        "Name": {
            "type": "string"
        },
        "Login": {
            "type": "string"
        },
        "Email": {
            "type": "string"
        }
    }
}

 

You should now see the properties from Parse JSON that you can use.

grantjenkins_6-1667269467900.png

 


----------------------------------------------------------------------
If I've answered your question, please mark the post as Solved.
If you like my response, please consider giving it a Thumbs Up.
Anonymous
Not applicable

Woowwww !!!!! 
Tks! it works !!!!

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