Hi,
bit of a newbie here and struggling to understand the finer points of flow.
I have a teams channel that takes in events from a process and I want to get that data into an excel sheet for auditing use.
so far I have worked out this much.
idcontentTypecontentUrlcontentnamethumbnailUrlbe28b51c80d84790a0c110770c7a4473
application/vnd.microsoft.teams.card.o365connector{ "summary": "Jamf ", "text":
"", "title": "Test message", "themeColor": "0072C6", "sections": [ { "text":
"<p>Testing is happening</p>", "facts": [ { "name": "Computer Name:", "value":
"<p>my computer</p>" }, { "name": "Serial:", "value":
"<p>abcgabcdabcd</p>" }, { "name": "User:", "value": "<p>auser</p>" } ],
"title": "", "activityTitle": "", "activitySubtitle": "", "activityText": "",
"markdown": true, "startGroup": false } ] }
but I have absolutely no idea how to pull out the values I need, these being; Computer Name, Serial and user.
any help would be massively appreciated as everything I've tried gives no output or fails..
Accepted Solutions
You need to use Parse JSON to extract the values. Here it is
Initialise a string and assig the JSON value
Next we need JSON Parser (Couple of them)
The above schema is as follows:
So many thanks to @abm it's now all working. I'll document it here in case anyone else wants a similar thing
As shown above the input data is a team message in HTML format giving four parameters, in this case computername, serial, user and a reason and I wanted to push that into an excel sheet along with the date.
Then need to parse the JSON
{
"type": "object",
"properties": {
"@@odata.type": {
"type": "string"
},
"replyToId": {},
"etag": {
"type": "string"
},
"messageType": {
"type": "string"
},
"createdDateTime": {
"type": "string"
},
"lastModifiedDateTime": {},
"deletedDateTime": {},
"subject": {},
"summary": {
"type": "string"
},
"importance": {
"type": "string"
},
"locale": {
"type": "string"
},
"webUrl": {
"type": "string"
},
"policyViolation": {},
"id": {
"type": "string"
},
"from": {
"type": "object",
"properties": {
"device": {},
"user": {},
"conversation": {},
"application": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"displayName": {
"type": "string"
},
"applicationIdentityType": {
"type": "string"
}
}
}
}
},
"body": {
"type": "object",
"properties": {
"contentType": {
"type": "string"
},
"content": {
"type": "string"
}
}
},
"attachments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"contentType": {
"type": "string"
},
"contentUrl": {},
"content": {
"type": "string"
},
"name": {},
"thumbnailUrl": {}
},
"required": [
"id",
"contentType",
"contentUrl",
"content",
"name",
"thumbnailUrl"
]
}
},
"mentions": {
"type": "array"
},
"reactions": {
"type": "array"
}
}
}Then parse JSON again to pull out the attachment section
{
"type": "array",
"items": {
"type": "object",
"properties": {
"content": {
"type": "string"
},
"id": {
"type": "string"
},
"contentType": {
"type": "string"
},
"contentUrl": {},
"name": {},
"thumbnailUrl": {}
},
"required": [
"id",
"contentType",
"contentUrl",
"content",
"name",
"thumbnailUrl"
]
}
}
and now the really good bit...
an apply to each is next as there is an array to pull apart
The two schemas are here
parse_JSON_3 schema
{
"type": "object",
"properties": {
"summary": {
"type": "string"
},
"text": {
"type": "string"
},
"title": {
"type": "string"
},
"themeColor": {
"type": "string"
},
"sections": {
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"type": "string"
},
"facts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "string"
}
},
"required": [
"name",
"value"
]
}
},
"title": {
"type": "string"
},
"activityTitle": {
"type": "string"
},
"activitySubtitle": {
"type": "string"
},
"activityText": {
"type": "string"
},
"markdown": {
"type": "boolean"
},
"startGroup": {
"type": "boolean"
}
},
"required": [
"text",
"facts",
"title",
"activityTitle",
"activitySubtitle",
"activityText",
"markdown",
"startGroup"
]
}
}
}
}
parse_json_4 schema
{
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"type": "string"
},
"facts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "string"
}
},
"required": [
"name",
"value"
]
}
},
"title": {
"type": "string"
},
"activityTitle": {
"type": "string"
},
"activitySubtitle": {
"type": "string"
},
"activityText": {
"type": "string"
},
"markdown": {
"type": "boolean"
},
"startGroup": {
"type": "boolean"
}
},
"required": [
"text",
"facts",
"title",
"activityTitle",
"activitySubtitle",
"activityText",
"markdown",
"startGroup"
]
}
}and now the actual values can be pulled from the data and tidied up for pushing to excel
Firstly a parseJSON to get the Facts section
the schema is here
{
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "string"
}
},
"required": [
"name",
"value"
]
}
}
then four Compose sections, one for each of the data values we have. These are the items in an array and are html formatted so have tags to remove <p> and </p>. Name the compose blocks as per the item they are then use this in the expression;
- The value in the [x] is incremented for each of the values in the array, so from 0 to 3 in this case.
- there are two nested replace functions to remove two different strings.
This now gives us all the four required values ready for use
The excel sheet needs to be premade with the a table setup for the columns required.
We've added the data using an Expression directly
then mapped the compose outputs
because we named the outputs they can easily be mapped as shown below
And that's it. now when a message comes into teams the sheet is populated
Could you post your run time history details of "When a new channel message is added"? Open the run history expand the first step and send me the details of output.
You need to use Parse JSON to extract the values. Here it is
Initialise a string and assig the JSON value
Next we need JSON Parser (Couple of them)
The above schema is as follows:
@abm I'm really stuck! I've spent hours trying to achieve the state shown here
but I can't ever get an input of sections let alone a content of Facts.
So many thanks to @abm it's now all working. I'll document it here in case anyone else wants a similar thing
As shown above the input data is a team message in HTML format giving four parameters, in this case computername, serial, user and a reason and I wanted to push that into an excel sheet along with the date.
Then need to parse the JSON
{
"type": "object",
"properties": {
"@@odata.type": {
"type": "string"
},
"replyToId": {},
"etag": {
"type": "string"
},
"messageType": {
"type": "string"
},
"createdDateTime": {
"type": "string"
},
"lastModifiedDateTime": {},
"deletedDateTime": {},
"subject": {},
"summary": {
"type": "string"
},
"importance": {
"type": "string"
},
"locale": {
"type": "string"
},
"webUrl": {
"type": "string"
},
"policyViolation": {},
"id": {
"type": "string"
},
"from": {
"type": "object",
"properties": {
"device": {},
"user": {},
"conversation": {},
"application": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"displayName": {
"type": "string"
},
"applicationIdentityType": {
"type": "string"
}
}
}
}
},
"body": {
"type": "object",
"properties": {
"contentType": {
"type": "string"
},
"content": {
"type": "string"
}
}
},
"attachments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"contentType": {
"type": "string"
},
"contentUrl": {},
"content": {
"type": "string"
},
"name": {},
"thumbnailUrl": {}
},
"required": [
"id",
"contentType",
"contentUrl",
"content",
"name",
"thumbnailUrl"
]
}
},
"mentions": {
"type": "array"
},
"reactions": {
"type": "array"
}
}
}Then parse JSON again to pull out the attachment section
{
"type": "array",
"items": {
"type": "object",
"properties": {
"content": {
"type": "string"
},
"id": {
"type": "string"
},
"contentType": {
"type": "string"
},
"contentUrl": {},
"name": {},
"thumbnailUrl": {}
},
"required": [
"id",
"contentType",
"contentUrl",
"content",
"name",
"thumbnailUrl"
]
}
}
and now the really good bit...
an apply to each is next as there is an array to pull apart
The two schemas are here
parse_JSON_3 schema
{
"type": "object",
"properties": {
"summary": {
"type": "string"
},
"text": {
"type": "string"
},
"title": {
"type": "string"
},
"themeColor": {
"type": "string"
},
"sections": {
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"type": "string"
},
"facts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "string"
}
},
"required": [
"name",
"value"
]
}
},
"title": {
"type": "string"
},
"activityTitle": {
"type": "string"
},
"activitySubtitle": {
"type": "string"
},
"activityText": {
"type": "string"
},
"markdown": {
"type": "boolean"
},
"startGroup": {
"type": "boolean"
}
},
"required": [
"text",
"facts",
"title",
"activityTitle",
"activitySubtitle",
"activityText",
"markdown",
"startGroup"
]
}
}
}
}
parse_json_4 schema
{
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"type": "string"
},
"facts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "string"
}
},
"required": [
"name",
"value"
]
}
},
"title": {
"type": "string"
},
"activityTitle": {
"type": "string"
},
"activitySubtitle": {
"type": "string"
},
"activityText": {
"type": "string"
},
"markdown": {
"type": "boolean"
},
"startGroup": {
"type": "boolean"
}
},
"required": [
"text",
"facts",
"title",
"activityTitle",
"activitySubtitle",
"activityText",
"markdown",
"startGroup"
]
}
}and now the actual values can be pulled from the data and tidied up for pushing to excel
Firstly a parseJSON to get the Facts section
the schema is here
{
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "string"
}
},
"required": [
"name",
"value"
]
}
}
then four Compose sections, one for each of the data values we have. These are the items in an array and are html formatted so have tags to remove <p> and </p>. Name the compose blocks as per the item they are then use this in the expression;
- The value in the [x] is incremented for each of the values in the array, so from 0 to 3 in this case.
- there are two nested replace functions to remove two different strings.
This now gives us all the four required values ready for use
The excel sheet needs to be premade with the a table setup for the columns required.
We've added the data using an Expression directly
then mapped the compose outputs
because we named the outputs they can easily be mapped as shown below
And that's it. now when a message comes into teams the sheet is populated
Helpful resources
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