'Send an Email' parameter 'attachment content' cannot be null - azure-logic-apps

I'm creating an Azure Logic App to email a CSV file with data. When there is no data, the Send_an_email_(V2) step is failing and I see the following error in its output:
Parameter 'Attachment Content' cannot be null or empty.
The Send_an_email_(V2) action in the Azure Logic App gets part of it's input from the output of a preceding Create_CSV_table action. It uses the body of the Create_CSV_table output as shown below, in order to construct ContentBytes for an email attachment:
"actions": {
"Create_CSV_table": {
"inputs": {
"format": "CSV",
"from": "#body('Parse_JSON')"
},
"runAfter": {
"Parse_JSON": [
"Succeeded"
]
},
"type": "Table"
},
"Send_an_email_(V2)": {
"inputs": {
"body": {
"Attachments": [
{
"ContentBytes": "#{base64(body('Create_CSV_table'))}",
"Name": "report.csv"
}
],
"Body": "<p></p>",
"Subject": "My Report",
"To": "me#email.com"
},
"host": {
"connection": {
"name": "#parameters('$connections')['office365']['connectionId']"
}
},
"method": "post",
"path": "/v2/Mail"
},
"runAfter": {
"Create_CSV_table": [
"Succeeded"
]
},
"type": "ApiConnection"
}
When there is no data input into the Create_CSV_table step, the Create_CSV_table step is successful, and the raw output for the Create_CSV_table step shows an empty body as follows:
{
"body": ""
}
Raw input for the failing Send_an_email_(V2) step
{
HTTP stuff ...,
"body": {
"Attachments": [
{
"ContentBytes": "",
"Name": "report.csv"
}
],
"Body": "<p></p>",
"Subject": "Report",
"To": "me#mail.com"
}
}
Raw output for the failing Send_an_email_(V2) step
{
HTTP stuff ...,
"body": {
"status": 400,
"message": "Parameter 'Attachment Content' cannot be null or empty.\r\nclientRequestId: 887e3968-c7e9-4c35-b588-f76fd0e51545",
"error": {
"message": "Parameter 'Attachment Content' cannot be null or empty."
},
"source": "office365-ase.azconn-ase.p.azurewebsites.net"
}
}
How do I handle this? Do I need to implement my own null handling for the "ContentBytes" of the Send_an_email_(V2) input? If so, how do I do that? Or is there another way to handle this. I want an empty email to be sent when there is no CSV content.
I figured out that #{base64(body('Create_CSV_table'))} is an Azure Logic Apps expression (denoted by #), containing functions that act on the JSON for the body of the output of Create_CSV_table and that the enclosing {} results in the output of the expression being a string.

After the Last step you can send to storage account using Create blob(V2) Connection with .csv file extension and then send the same blob content using Get blob content(V2) Connection then Send an email.
Here are the screenshots of LogicApp
In outlook:
Here is the workflow
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Create_CSV_table_2": {
"inputs": {
"format": "CSV",
"from": "#variables('Array')"
},
"runAfter": {
"For_each_2": [
"Succeeded"
]
},
"type": "Table"
},
"Create_blob_(V2)": {
"inputs": {
"body": "#body('Create_CSV_table_2')",
"headers": {
"ReadFileMetadataFromServer": true
},
"host": {
"connection": {
"name": "#parameters('$connections')['azureblob']['connectionId']"
}
},
"method": "post",
"path": "/v2/datasets/#{encodeURIComponent(encodeURIComponent('AccountNameFromSettings'))}/files",
"queries": {
"folderPath": "/ch1container2408",
"name": "TestSample1.csv",
"queryParametersSingleEncoded": true
}
},
"runAfter": {
"Create_CSV_table_2": [
"Succeeded"
]
},
"runtimeConfiguration": {
"contentTransfer": {
"transferMode": "Chunked"
}
},
"type": "ApiConnection"
},
"For_each_2": {
"actions": {
"Append_to_array_variable": {
"inputs": {
"name": "Array",
"value": {
"created_at": "#items('For_each_2')['created_at']",
"funds": "#items('For_each_2')['funds']",
"id": "#items('For_each_2')['id']",
"pair": "#items('For_each_2')['market']",
"price": "#items('For_each_2')['price']",
"side": "#items('For_each_2')['side']",
"volume": "#items('For_each_2')['volume']"
}
},
"runAfter": {},
"type": "AppendToArrayVariable"
}
},
"foreach": "#body('Parse_JSON')",
"runAfter": {
"Initialize_variable_2": [
"Succeeded"
]
},
"type": "Foreach"
},
"Get_blob_content_(V2)": {
"inputs": {
"host": {
"connection": {
"name": "#parameters('$connections')['azureblob']['connectionId']"
}
},
"method": "get",
"path": "/v2/datasets/#{encodeURIComponent(encodeURIComponent('AccountNameFromSettings'))}/files/#{encodeURIComponent(encodeURIComponent('/<Your Container>','/<Your File>.csv'))}/content",
"queries": {
"inferContentType": true
}
},
"runAfter": {
"Create_blob_(V2)": [
"Succeeded"
]
},
"type": "ApiConnection"
},
"HTTP": {
"inputs": {
"method": "GET",
"uri": "https://api.wazirx.com/api/v2/trades?market=btcusdt"
},
"runAfter": {},
"type": "Http"
},
"Initialize_variable": {
"inputs": {
"variables": [
{
"name": "Array",
"type": "array"
}
]
},
"runAfter": {
"Parse_JSON": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable_2": {
"inputs": {
"variables": [
{
"name": "Table",
"type": "array"
}
]
},
"runAfter": {
"Initialize_variable": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Parse_JSON": {
"inputs": {
"content": "#body('HTTP')",
"schema": {
"items": {
"properties": {
"created_at": {
"type": "string"
},
"funds": {
"type": "string"
},
"id": {
"type": "integer"
},
"market": {
"type": "string"
},
"price": {
"type": "string"
},
"side": {},
"volume": {
"type": "string"
}
},
"required": [
"id",
"market",
"price",
"volume",
"funds",
"created_at",
"side"
],
"type": "object"
},
"type": "array"
}
},
"runAfter": {
"HTTP": [
"Succeeded"
]
},
"type": "ParseJson"
},
"Send_an_email_(V2)": {
"inputs": {
"body": {
"Attachments": [
{
"ContentBytes": "#{base64(body('Get_blob_content_(V2)'))}",
"Name": "#body('Create_blob_(V2)')?['Name']"
}
],
"Body": "<p>TABLE TEST</p>",
"Subject": "Test",
"To": "<To Address>"
},
"host": {
"connection": {
"name": "#parameters('$connections')['office365']['connectionId']"
}
},
"method": "post",
"path": "/v2/Mail"
},
"runAfter": {
"Get_blob_content_(V2)": [
"Succeeded"
]
},
"type": "ApiConnection"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {
"$connections": {
"defaultValue": {},
"type": "Object"
}
},
"triggers": {
"manual": {
"inputs": {},
"kind": "Http",
"type": "Request"
}
}
},
"parameters": {
"$connections": {
"value": {
"azureblob": {
"connectionId": "<Your ConnectionId>",
"connectionName": "azureblob",
"id": "<Id>"
},
"office365": {
"connectionId": "<Your ConnectionId>",
"connectionName": "office365",
"id": "<Your Id>"
}
}
}
}
}

Related

Is it possible to create a mail merge in Logic app?

In the process of moving over to Azure ecosystem fully, I'm trying to recreate a mail merge via Logic apps.
The basic idea is we get the data output via stored proc with the test data similar to:
create table dbo.People (
Name nvarchar(255),
Local char(1) null,
Earned float null,
Email nvarchar(255) null
);
insert into dbo.People values ('Bob','N',20,'Bob#Fakemail.com');
insert into dbo.People values ('Bob','Y',28,'Bob#Fakemail.com');
insert into dbo.People values ('Jess','N',25,'Jess#Fakemail.com');
insert into dbo.People values ('Jess','Y',39,'Jess#Fakemail.com');
Is this doable in logic app? Trying to avoid paying for any addons.
Tried few tests and it seems to work fine with one line per name/person. Once it brings more than one line it duplicates the emails. Is there a way to combine them all?
-- for for one line outputs (from SQL) of course it will duplicate if there is more than one. Though, not sure how to combine or process in bulk.
What would be the most efficient way of doing this?
Appreciate tips and tricks!
After reproducing from my end, I could be able to achieve this by using 2 until loops where I have defined the condition to check for distinct emails and send the required details using outlook connector.
Alternatively, you can even use foreach loop instead of until if you use a similar logic. Below is the flow of my logic app.
Initially, I have used 2 Queries. One to get the total table and other to get only the distinct emails.
In first Until loop, I have Set the Email to read the distinct emails
In the second until loop, I have used condition and if it is true, the required details will be appended to the array using the below expression.
{
"Name":"#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Name']}",
"Local":"#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Local']}",
"Earned":"#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Earned']}",
"Email":"#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Email']}"
}
Finally, I'm sending the updated variable through mail
Below is the complete Code view of my Logic App
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Execute_a_SQL_query_(V2)": {
"inputs": {
"body": {
"query": "SELECT * FROM dbo.People"
},
"host": {
"connection": {
"name": "#parameters('$connections')['sql']['connectionId']"
}
},
"method": "post",
"path": "/v2/datasets/#{encodeURIComponent(encodeURIComponent('default'))},#{encodeURIComponent(encodeURIComponent('default'))}/query/sql"
},
"runAfter": {},
"type": "ApiConnection"
},
"Execute_a_SQL_query_(V2)_-_Distinct_Emails": {
"inputs": {
"body": {
"query": "SELECT DISTINCT Email FROM dbo.People"
},
"host": {
"connection": {
"name": "#parameters('$connections')['sql']['connectionId']"
}
},
"method": "post",
"path": "/v2/datasets/#{encodeURIComponent(encodeURIComponent('default'))},#{encodeURIComponent(encodeURIComponent('default'))}/query/sql"
},
"runAfter": {
"Execute_a_SQL_query_(V2)": [
"Succeeded"
]
},
"type": "ApiConnection"
},
"Initialize_variable_-_Details": {
"inputs": {
"variables": [
{
"name": "Details",
"type": "array"
}
]
},
"runAfter": {
"Initialize_variable_-_Email": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable_-_Email": {
"inputs": {
"variables": [
{
"name": "Email",
"type": "string"
}
]
},
"runAfter": {
"Initialize_variable_-_Loop2": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable_-_Loop1": {
"inputs": {
"variables": [
{
"name": "Loop1",
"type": "integer",
"value": 0
}
]
},
"runAfter": {
"Execute_a_SQL_query_(V2)_-_Distinct_Emails": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable_-_Loop2": {
"inputs": {
"variables": [
{
"name": "Loop2",
"type": "integer",
"value": 0
}
]
},
"runAfter": {
"Initialize_variable_-_Loop1": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Until_-_Loop1": {
"actions": {
"Compose": {
"inputs": "#variables('Details')",
"runAfter": {
"Increment_variable_-_Loop1": [
"Succeeded"
]
},
"type": "Compose"
},
"Increment_variable_-_Loop1": {
"inputs": {
"name": "Loop1",
"value": 1
},
"runAfter": {
"Until_-_Loop2": [
"Succeeded"
]
},
"type": "IncrementVariable"
},
"Set_variable_Details_to_null": {
"inputs": {
"name": "Details",
"value": "#null"
},
"runAfter": {
"Set_variable_Loop2_to_0": [
"Succeeded"
]
},
"type": "SetVariable"
},
"Set_variable_Distinct_Email": {
"inputs": {
"name": "Email",
"value": "#{body('Execute_a_SQL_query_(V2)_-_Distinct_Emails')?['resultsets']?['Table1'][variables('Loop1')]['Email']}"
},
"runAfter": {},
"type": "SetVariable"
},
"Set_variable_Loop2_to_0": {
"inputs": {
"name": "Loop2",
"value": 0
},
"runAfter": {
"Set_variable_Distinct_Email": [
"Succeeded"
]
},
"type": "SetVariable"
},
"Until_-_Loop2": {
"actions": {
"Condition": {
"actions": {
"Append_to_array_variable": {
"inputs": {
"name": "Details",
"value": {
"Earned": "#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Earned']}",
"Email": "#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Email']}",
"Local": "#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Local']}",
"Name": "#{body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Name']}"
}
},
"runAfter": {},
"type": "AppendToArrayVariable"
}
},
"expression": {
"and": [
{
"equals": [
"#variables('Email')",
"#body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'][variables('Loop2')]['Email']"
]
}
]
},
"runAfter": {},
"type": "If"
},
"Increment_variable": {
"inputs": {
"name": "Loop2",
"value": 1
},
"runAfter": {
"Condition": [
"Succeeded"
]
},
"type": "IncrementVariable"
}
},
"expression": "#equals(variables('Loop2'), length(array(body('Execute_a_SQL_query_(V2)')?['resultsets']?['Table1'])))",
"limit": {
"count": 60,
"timeout": "PT1H"
},
"runAfter": {
"Set_variable_Details_to_null": [
"Succeeded"
]
},
"type": "Until"
}
},
"expression": "#equals(variables('Loop1'), length(array(body('Execute_a_SQL_query_(V2)_-_Distinct_Emails')?['resultsets']?['Table1'])))",
"limit": {
"count": 60,
"timeout": "PT1H"
},
"runAfter": {
"Initialize_variable_-_Details": [
"Succeeded"
]
},
"type": "Until"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {
"$connections": {
"defaultValue": {},
"type": "Object"
}
},
"triggers": {
"manual": {
"inputs": {
"schema": {}
},
"kind": "Http",
"type": "Request"
}
}
},
"parameters": {
"$connections": {
"value": {
"sql": {
"connectionId": "/subscriptions/<ID>/resourceGroups/<RG>/providers/Microsoft.Web/connections/sql",
"connectionName": "sql",
"id": "/subscriptions/<ID>/providers/Microsoft.Web/locations/westus2/managedApis/sql"
}
}
}
}
}

Convert array to string variable in Logic App

What's the quickest way to convert an array to a string variable (whilst keeping all the line breaks) using Logic App? Below is my definition which reads each array and append to a string variable, works fine but not the most efficient. The idea is that I can then create a BLOB from the final output without the ["..."]
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"For_each": {
"actions": {
"Append_to_string_variable": {
"inputs": {
"name": "Result String",
"value": "#concat(substring(items('For_each'), 0, sub(length(items('For_each')), 0)), '\r\n')"
},
"runAfter": {},
"type": "AppendToStringVariable"
}
},
"foreach": "#variables('CSV Content')",
"runAfter": {
"Initialize_Result_String": [
"Succeeded"
]
},
"runtimeConfiguration": {
"concurrency": {
"repetitions": 1
}
},
"type": "Foreach"
},
"Initialize_Result_String": {
"inputs": {
"variables": [
{
"name": "Result String",
"type": "string"
}
]
},
"runAfter": {
"Initialize_variable": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable": {
"inputs": {
"variables": [
{
"name": "CSV Content",
"type": "array",
"value": [
"Header1,Header2",
"Data1,Data2",
"Data3,Data4"
]
}
]
},
"runAfter": {},
"type": "InitializeVariable"
},
"Initialize_variable_2": {
"inputs": {
"variables": [
{
"name": "Final Result",
"type": "string",
"value": "#variables('Result String')"
}
]
},
"runAfter": {
"For_each": [
"Succeeded"
]
},
"type": "InitializeVariable"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"manual": {
"inputs": {},
"kind": "Http",
"type": "Request"
}
}
},
"parameters": {}
}
Basically I'm looking for a way to convert the array
[
"Header1,Header2",
"Data1,Data2",
"Data3,Data4"
]
to a string
Header1,Header2
Data1,Data2
Data3,Data4
One of the workarounds is to use the Join Connector which takes joins each item in the array. Here is the screenshot of my logic app
RESULT:-
In Storage account:-
Below is the codeview of my logic app
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Create_blob_(V2)": {
"inputs": {
"body": "#body('Join')",
"headers": {
"ReadFileMetadataFromServer": true
},
"host": {
"connection": {
"name": "#parameters('$connections')['azureblob']['connectionId']"
}
},
"method": "post",
"path": "/v2/datasets/#{encodeURIComponent(encodeURIComponent('AccountNameFromSettings'))}/files",
"queries": {
"folderPath": "/container1",
"name": "sample1",
"queryParametersSingleEncoded": true
}
},
"runAfter": {
"Join": [
"Succeeded"
]
},
"runtimeConfiguration": {
"contentTransfer": {
"transferMode": "Chunked"
}
},
"type": "ApiConnection"
},
"Initialize_variable": {
"inputs": {
"variables": [
{
"name": "CSV Content",
"type": "array",
"value": [
"Header1,Header2",
"Data1,Data2",
"Data3,Data4"
]
}
]
},
"runAfter": {},
"type": "InitializeVariable"
},
"Join": {
"inputs": {
"from": "#variables('CSV Content')",
"joinWith": "\n"
},
"runAfter": {
"Initialize_variable": [
"Succeeded"
]
},
"type": "Join"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {
"$connections": {
"defaultValue": {},
"type": "Object"
}
},
"triggers": {
"manual": {
"inputs": {},
"kind": "Http",
"type": "Request"
}
}
},
"parameters": {
"$connections": {
"value": {
"azureblob": {
"connectionId": "/subscriptions/<Your_Subscription_Id>/resourceGroups/<Your_ResourceGroup>/providers/Microsoft.Web/connections/azureblob",
"connectionName": "azureblob",
"id": "/subscriptions/<Your_Subscription_Id>/providers/Microsoft.Web/locations/northcentralus/managedApis/azureblob"
}
}
}
}
}

How to conditionally transform JSON based on body response in Azure Logic App

I Want to have an Azure Logic App that receives HTTP data from multiple device types.
Each device has different body JSON schema structure.
Base on the response body (structure or specific value) I want to execute specific Liquid Map so that the result will be normalized response.
(Assume that I cannot check on HTTP headers...)
Is there a better pattern than Logic App?
Thanks!
You can create a basic json schema with atleast one field that could identify where the call came from (caller should send that field in the body) and based on that field parse the incoming json against a more comprehensive schema (format 1, 2 etc).
However, I would recommend creating separate logic apps if there is a major diff b/w input posted from the sources. It is not a good practice to have different flows based on the caller. Logic app should have minimal logic. Your approach might be not be good in the long term.
Here is one of the workaround that you can try.
Here is my logic app
I have considered a sample data to explain this in a better way.
Here is the data that I'm sending to the HTTP Trigger:-
{
"devices": [
{
"device_number": 1,
"device_type": "mobile",
"device_name": "MobileA"
},
{
"device_number": 2,
"device_type": "desktop",
"device_name": "DesktopA"
},
{
"device_number": 3,
"device_type": "tablet",
"device_name": "TabletA"
},
{
"device_number": 4,
"device_type": "desktop",
"device_name": "DesktopB"
}
]
}
Then I'm trying to parse the whole data that I'm sending for future use and performing some functions which segregates the json into device_number, device_type and device_name.
Here is the schema that I'm using to parse that data that is sent to the Http Trigger
{
"type": "object",
"properties": {
"devices": {
"type": "array",
"items": {
"type": "object",
"properties": {
"device_number": {
"type": "integer"
},
"device_type": {
"type": "string"
},
"device_name": {
"type": "string"
}
},
"required": [
"device_number",
"device_type",
"device_name"
]
}
}
}
}
In the next step I'm parsing the Data for your understanding but this is completely avoidable when you are storing the whole data into arrays
For combining or normalizing the results we can either use a compose connector and save to storage account else we can also directly send the same data directly using cosmos db Create or update document connector.
Here is the codeview of my logic app:-
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Compose": {
"inputs": {
"DevicesInformation": [
{
"DeviceNames": "#{variables('DeviceName')}",
"DeviceNumbers": "#{variables('DeviceNumber')}",
"DeviceTypes": "#{variables('DeviceType')}"
}
]
},
"runAfter": {
"Parse_DeviceName": [
"Succeeded"
],
"Parse_DeviceNumber": [
"Succeeded"
],
"Parse_DeviceType": [
"Succeeded"
]
},
"type": "Compose"
},
"Create_or_update_document_(V3)": {
"inputs": {
"body": {
"DevicesInformation": [
{
"DeviceNames": "#{variables('DeviceName')}",
"DeviceNumbers": "#{variables('DeviceNumber')}",
"DeviceTypes": "#{variables('DeviceType')}"
}
],
"id": "#{guid()}"
},
"host": {
"connection": {
"name": "#parameters('$connections')['documentdb_1']['connectionId']"
}
},
"method": "post",
"path": "/v2/cosmosdb/#{encodeURIComponent('AccountNameFromSettings')}/dbs/#{encodeURIComponent('container2408')}/colls/#{encodeURIComponent('#devices')}/docs"
},
"runAfter": {
"Compose": [
"Succeeded"
]
},
"type": "ApiConnection"
},
"For_each": {
"actions": {
"Append_to_DeviceNumber_variable": {
"inputs": {
"name": "DeviceNumber",
"value": "#items('For_each')?['device_number']"
},
"runAfter": {},
"type": "AppendToArrayVariable"
}
},
"foreach": "#body('Parse_Data')?['devices']",
"runAfter": {
"Initialize_variable_DeviceNumber": [
"Succeeded"
]
},
"type": "Foreach"
},
"For_each_2": {
"actions": {
"Append_to_DeviceType_variable": {
"inputs": {
"name": "DeviceType",
"value": "#items('For_each_2')?['device_type']"
},
"runAfter": {},
"type": "AppendToArrayVariable"
}
},
"foreach": "#body('Parse_Data')?['devices']",
"runAfter": {
"Initialize_variable_DeviceType": [
"Succeeded"
]
},
"type": "Foreach"
},
"For_each_3": {
"actions": {
"Append_to_DeviceName_variable": {
"inputs": {
"name": "DeviceName",
"value": "#items('For_each_3')?['device_name']"
},
"runAfter": {},
"type": "AppendToArrayVariable"
}
},
"foreach": "#body('Parse_Data')?['devices']",
"runAfter": {
"Initialize_variable_DeviceName": [
"Succeeded"
]
},
"type": "Foreach"
},
"Initialize_variable_DeviceName": {
"inputs": {
"variables": [
{
"name": "DeviceName",
"type": "array"
}
]
},
"runAfter": {
"Parse_Data": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable_DeviceNumber": {
"inputs": {
"variables": [
{
"name": "DeviceNumber",
"type": "array"
}
]
},
"runAfter": {
"Parse_Data": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable_DeviceType": {
"inputs": {
"variables": [
{
"name": "DeviceType",
"type": "array"
}
]
},
"runAfter": {
"Parse_Data": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Parse_Data": {
"inputs": {
"content": "#triggerBody()",
"schema": {
"properties": {
"devices": {
"items": {
"properties": {
"device_name": {
"type": "string"
},
"device_number": {
"type": "integer"
},
"device_type": {
"type": "string"
}
},
"required": [
"device_number",
"device_type",
"device_name"
],
"type": "object"
},
"type": "array"
}
},
"type": "object"
}
},
"runAfter": {},
"type": "ParseJson"
},
"Parse_DeviceName": {
"inputs": {
"content": "#variables('DeviceName')",
"schema": {
"items": {
"type": "string"
},
"type": "array"
}
},
"runAfter": {
"For_each_3": [
"Succeeded"
]
},
"type": "ParseJson"
},
"Parse_DeviceNumber": {
"inputs": {
"content": "#variables('DeviceNumber')",
"schema": {
"items": {
"type": "integer"
},
"type": "array"
}
},
"runAfter": {
"For_each": [
"Succeeded"
]
},
"type": "ParseJson"
},
"Parse_DeviceType": {
"inputs": {
"content": "#variables('DeviceType')",
"schema": {
"items": {
"type": "string"
},
"type": "array"
}
},
"runAfter": {
"For_each_2": [
"Succeeded"
]
},
"type": "ParseJson"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {
"$connections": {
"defaultValue": {},
"type": "Object"
}
},
"triggers": {
"manual": {
"inputs": {
"schema": {}
},
"kind": "Http",
"type": "Request"
}
}
},
"parameters": {
"$connections": {
"value": {
"documentdb_1": {
"connectionId": "/subscriptions/<YOUR_SUBSCRIPTION_ID>/resourceGroups/<YOUR_RESOURCE_GROUP>/providers/Microsoft.Web/connections/documentdb-1",
"connectionName": "documentdb-1",
"id": "/subscriptions/<YOUR_SUBSCRIPTION_ID>/providers/Microsoft.Web/locations/northcentralus/managedApis/documentdb"
}
}
}
}
}

Transform property name for JSON of current bitcoin market data

UPDATE - I've amended the original question so that I'm now supplying code that can be used to easily set up a test Azure Logic App in Azure and repeat my scenario.
I have an Azure Logic App to retrieve Crypto market data from a public API and convert it to a CSV table.
I'm performing an API request by using an HTTP action in the workflow. The action does a GET of https://api.wazirx.com/api/v2/trades?market=btcusdt. This results in a response with the following structure:
[{"id":239067645,"market":"btcusdt","price":"61999.0","volume":"0.00005","funds":"3.09995","created_at":"2021-10-25T04:00:38Z","side":null}, {"id":239065383,"market":"btcusdt","price":"61966.0","volume":"0.00021","funds":"13.01286","created_at":"2021-10-25T03:57:25Z","side":null}]
I want to transform the property name of one of the properties from the API response ("market") to a custom property name ("pair"), so that I get the following as the input into the 'Create CSV table' action of my Azure Logic App:
[{"id":239067645,"pair":"btcusdt","price":"61999.0","volume":"0.00005","funds":"3.09995","created_at":"2021-10-25T04:00:38Z","side":null},{"id":239065383,"pair":"btcusdt","price":"61966.0","volume":"0.00021","funds":"13.01286","created_at":"2021-10-25T03:57:25Z","side":null}]
I'm currently using the following workflow and source code. The source code can be directly used to create the Logic App workflow in Azure using the 'consumption' SKU for an Azure Logic App. The workflow is failing at the 'Create CSV table step' as it's getting null from the body of the 'For each'.
How can I adapt my workflow code so that the input into the 'Create CSV table' action is the desired input?
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Create_CSV_table": {
"inputs": {
"format": "CSV",
"from": "#body('For_each')"
},
"runAfter": {
"For_each": [
"Succeeded"
]
},
"type": "Table"
},
"For_each": {
"actions": {
"Compose": {
"inputs": {
"pair": "#items('For_each')?['market']"
},
"runAfter": {},
"type": "Compose"
}
},
"foreach": "#body('Parse_JSON')",
"runAfter": {
"Parse_JSON": [
"Succeeded"
]
},
"type": "Foreach"
},
"HTTP": {
"inputs": {
"method": "GET",
"uri": "https://api.wazirx.com/api/v2/trades?market=btcusdt"
},
"runAfter": {},
"type": "Http"
},
"Parse_JSON": {
"inputs": {
"content": "#body('HTTP')",
"schema": {
"items": {
"properties": {
"created_at": {
"type": "string"
},
"funds": {
"type": "string"
},
"id": {
"type": "integer"
},
"market": {
"type": "string"
},
"price": {
"type": "string"
},
"side": {},
"volume": {
"type": "string"
}
},
"required": [
"id",
"market",
"price",
"volume",
"funds",
"created_at",
"side"
],
"type": "object"
},
"type": "array"
}
},
"runAfter": {
"HTTP": [
"Succeeded"
]
},
"type": "ParseJson"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"manual": {
"inputs": {
"schema": {}
},
"kind": "Http",
"type": "Request"
}
}
}
}
Try to use Logic App expression to handle JSON array object as string and then transfer it back to JSON array.
More information for logic app expression: https://learn.microsoft.com/en-us/azure/logic-apps/workflow-definition-language-functions-reference
Please try this logic app code:
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Compose": {
"inputs": "#json(replace(string(body('HTTP')),'\"market\"','\"pair\"'))",
"runAfter": {
"HTTP": [
"Succeeded"
]
},
"type": "Compose"
},
"Create_CSV_table": {
"inputs": {
"format": "CSV",
"from": "#outputs('Compose')"
},
"runAfter": {
"Compose": [
"Succeeded"
]
},
"type": "Table"
},
"HTTP": {
"inputs": {
"method": "GET",
"uri": "https://api.wazirx.com/api/v2/trades?market=btcusdt"
},
"runAfter": {},
"type": "Http"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"manual": {
"inputs": {
"schema": {}
},
"kind": "Http",
"type": "Request"
}
}
}
}
This is how I achieved your requirement
Since Create CSV table only takes Array values as input. I have initialized an array variable and Added Append to array variable connector instead of compose then passing the same to Create CSV table.
Here are the logic app screenshots
Here is the workflow
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"For_each": {
"actions": {
"Create_CSV_table": {
"inputs": {
"format": "CSV",
"from": "#variables('Array')"
},
"runAfter": {},
"type": "Table"
}
},
"foreach": "#variables('Array')",
"runAfter": {
"For_each_2": [
"Succeeded"
]
},
"type": "Foreach"
},
"For_each_2": {
"actions": {
"Append_to_array_variable": {
"inputs": {
"name": "Array",
"value": {
"created_at": "#items('For_each_2')['created_at']",
"funds": "#items('For_each_2')['funds']",
"id": "#items('For_each_2')['id']",
"pair": "#items('For_each_2')['market']",
"price": "#items('For_each_2')['price']",
"side": "#items('For_each_2')['side']",
"volume": "#items('For_each_2')['volume']"
}
},
"runAfter": {},
"type": "AppendToArrayVariable"
}
},
"foreach": "#body('Parse_JSON')",
"runAfter": {
"Initialize_variable": [
"Succeeded"
]
},
"type": "Foreach"
},
"HTTP": {
"inputs": {
"method": "GET",
"uri": "https://api.wazirx.com/api/v2/trades?market=btcusdt"
},
"runAfter": {},
"type": "Http"
},
"Initialize_variable": {
"inputs": {
"variables": [
{
"name": "Array",
"type": "array"
}
]
},
"runAfter": {
"Parse_JSON": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Parse_JSON": {
"inputs": {
"content": "#body('HTTP')",
"schema": {
"items": {
"properties": {
"created_at": {
"type": "string"
},
"funds": {
"type": "string"
},
"id": {
"type": "integer"
},
"market": {
"type": "string"
},
"price": {
"type": "string"
},
"side": {},
"volume": {
"type": "string"
}
},
"required": [
"id",
"market",
"price",
"volume",
"funds",
"created_at",
"side"
],
"type": "object"
},
"type": "array"
}
},
"runAfter": {
"HTTP": [
"Succeeded"
]
},
"type": "ParseJson"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"manual": {
"inputs": {},
"kind": "Http",
"type": "Request"
}
}
}
}

Convert JSON to XML in Logic Apps

I have parsed a JSON string in Logic Apps using the parse json connector. How do I put the output from that step into an xml file?
One suggestion I've seen is to use "when a http request is received", but this is a trigger and I need an action.
On user voice there is a request for a parse xml function
here
. I need a workaround.
Another problem I'm having is that parse json is returning an object, but I think I need an array.
This is the schema in my parse json connector. After parse json I'm trying to initialise a variable. It's not accepting a type of string.
<code>
{
"properties": {
"PR_ADD1": {
"type": "string"
},
"PR_ADD2": {
"type": "string"
},
"PR_ADD3": {
"type": "string"
},
"RLS_GROUP": {
"type": "string"
}
},
"title": "The Root Schema",
"type": "object"
}
</code>
How do I initialize the first variable as string with the output from my
previous parse json step? In [this example]
(https://learn.microsoft.com/en-us/azure/logic-apps/logic-apps-perform-
data-operations#parse-json-action) there is only one record. My parse
json step has lots of records.
Here is some sample JSON
<code>
{
"properties": {
"PR_ADD1": {
"type": "string"
},
"PR_ADD2": {
"type": "string"
},
"PR_ADD3": {
"type": "string"
},
"PR_ZONEC": {
"type": "string"
},
"RLS_GROUP": {
"type": "string"
}
},
"title": "The Root Schema",
"type": "object"
}
</code>
Here is my Logic APP
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Compose_2": {
"inputs": "#length(variables('IntermediateArray'))",
"runAfter": {
"Scope": [
"Succeeded"
],
"Set_variable": [
"Succeeded",
"Skipped"
]
},
"type": "compose"
},
"Compose_From_HTTP2": {
"inputs": "#body('HTTP_2')",
"runAfter": {
"HTTP_2": [
"Succeeded"
]
},
"type": "compose"
},
"HTTP_2": {
"inputs": {
"body": {
"FORMAT": "payload",
"FROM": 0,
"GRIDID": "PROP",
"GRIDVIEW": "1",
"HITS": 100,
"ORDERBY": "PR_DATESOLD",
"PROFILE": [
{
"PR_NAME": "G*",
"PR_USER1": "GENERATED"
}
],
"sessionID": "#body('Parse_JSON3')['sessionID']"
},
"headers": {
"Accept": "text/json",
"Content-Type": "text/json"
},
"method": "POST",
"uri": "#variables('uri_DefGrid')"
},
"runAfter": {
"Parse_JSON3": [
"Succeeded"
]
},
"type": "Http"
},
"HTTP_Logout": {
"inputs": {
"body": {
"method": "logout",
"sessionID": "#body('Parse_JSON3')['sessionID']"
},
"headers": {
"Accept": "text/json",
"Content-Type": "text/json"
},
"method": "POST",
"uri": "#variables('uri_logout')"
},
"runAfter": {
"Initialize_uri_logout": [
"Succeeded"
]
},
"type": "Http"
},
"Initialize_Header": {
"inputs": {
"variables": [
{
"name": "Header",
"type": "string",
"value": "{\"Accept\":\"text/json\",\"Content-Type\":\"text/json\"}"
}
]
},
"runAfter": {
"Initialize_body_login": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_body_login": {
"inputs": {
"variables": [
{
"name": "body_login",
"type": "string",
"value": "json(#{triggerBody()})"
}
]
},
"runAfter": {},
"type": "InitializeVariable"
},
"Initialize_intermediateArray": {
"inputs": {
"variables": [
{
"name": "intermediateArray",
"type": "array"
}
]
},
"runAfter": {
"Compose_From_HTTP2": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_sharepointLibraryPath": {
"inputs": {
"variables": [
{
"name": "sharepointLibraryPath",
"type": "string",
"value": "https://qqqonline.sharepoint.com/teams-and-projects/dev/hhh"
}
]
},
"runAfter": {
"Compose_2": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_uri_DefGrid": {
"inputs": {
"variables": [
{
"name": "uri_DefGrid",
"type": "string",
"value": "https://mh-uat.ttt-app.uk:443/qqq_uat/wrd/run/pppMHAPI.GRIDGET"
}
]
},
"runAfter": {
"Initialize_uri_login": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_uri_login": {
"inputs": {
"variables": [
{
"name": "uri_login",
"type": "string",
"value": "https://mh-uat.ttt-app.uk:443/qqq_uat/wrd/run/pppJSONSERVICE.LOGIN"
}
]
},
"runAfter": {
"Initialize_Header": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_uri_logout": {
"inputs": {
"variables": [
{
"name": "uri_logout",
"type": "string",
"value": "https://mh-uat.ttt-app.uk:443/qqq_uat/wrd/run/pppJSONSERVICE.LOGOUT"
}
]
},
"runAfter": {
"Initialize_sharepointLibraryPath": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable": {
"inputs": {
"variables": [
{
"name": "initializeArray",
"type": "array",
"value": "#outputs('Compose_From_HTTP2')"
}
]
},
"runAfter": {
"Initialize_intermediateArray": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Parse_JSON3": {
"inputs": {
"content": "#triggerBody()",
"schema": {
"properties": {
"RLS_WHERE": {
"$id": "#/properties/RLS_WHERE",
"type": "string"
},
"contact": {
"type": "string"
},
"error": {
"type": "string"
},
"errorId": {
"type": "string"
},
"fullName": {
"type": "string"
},
"labellanguage": {
"type": "string"
},
"language": {
"type": "string"
},
"message": {
"type": "string"
},
"params": {
"properties": {
"WOPARTSOPT": {
"type": "string"
}
},
"required": [
"WOPARTSOPT"
],
"title": "The Params Schema",
"type": "object"
},
"role": {
"type": "string"
},
"sessionID": {
"type": "string"
},
"success": {
"type": "string"
},
"userEmail": {
"$id": "#/properties/userEmail",
"type": "string"
}
},
"required": [
"success",
"message",
"sessionID",
"language",
"labellanguage",
"error",
"errorId",
"fullName",
"role",
"contact",
"RLS_WHERE",
"userEmail",
"params"
],
"title": "The Root Schema",
"type": "object"
}
},
"runAfter": {
"Initialize_uri_DefGrid": [
"Succeeded"
]
},
"type": "ParseJson"
},
"Scope": {
"actions": {
"Scope_2": {
"actions": {
"Compose": {
"inputs": "#array(outputs('Compose_From_HTTP2'))",
"runAfter": {},
"type": "compose"
},
"Set_variable_2": {
"inputs": {
"name": "intermediateArray",
"value": "#outputs('Compose')"
},
"runAfter": {
"Compose": [
"Succeeded"
]
},
"type": "SetVariable"
}
},
"runAfter": {},
"type": "Scope"
}
},
"runAfter": {
"Initialize_variable": [
"Failed"
]
},
"type": "Scope"
},
"Set_variable": {
"inputs": {
"name": "intermediateArray",
"value": "#outputs('Compose_From_HTTP2')"
},
"runAfter": {
"Initialize_variable": [
"Succeeded"
]
},
"type": "SetVariable"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"HTTP": {
"inputs": {
"body": {
"method": "login",
"password": "qqq_API",
"username": "qqq_API"
},
"headers": {
"Accept": "text/json",
"Content-Type": "text/json"
},
"method": "POST",
"uri": "https://mh-uat.ttt-app.uk:443/qqq_uat/wrd/run/pppJSONSERVICE.LOGIN"
},
"recurrence": {
"frequency": "Minute",
"interval": 4
},
"type": "Http"
}
}
},
"parameters": {}
}
The parse json screenshot showed the top of the schema. Here is the bottom.
"RLS_GROUP": {
"type": "string"
}
},
"title": "The Root Schema",
"type": "object"
}
When I generate the schema from sample output in parse json I get error messages like this. I think that when integer fields have not value they are coming back with two double quotes to denote empty rather than null. Also, I think the schema is basing itself on the first record which could have data. Subsequent records may not. Conversely the first record may not have data for a particular field, but subsequent records will have data for that field.
"message": "Invalid type. Expected Integer but got String.",
"lineNumber": 0,
"linePosition": 0,
"path": "Payload[1].PR_RENT",
"value": "",
"schemaId": "#/properties/Payload/items/properties/PR_RENT",
"errorType": "type",
"childErrors": []
},
{
"message": "Invalid type. Expected String but got Integer.",
"lineNumber": 0,
"linePosition": 0,
"path": "Payload[3].PR_ID",
"value": 1363,
"schemaId": "#/properties/Payload/items/properties/PR_ID",
"errorType": "type",
"childErrors": []
},
{
"message": "Invalid type. Expected String but got Integer.",
"lineNumber": 0,
"linePosition": 0,
"path": "Payload[3].PR_USER8",
"value": 0,
"schemaId": "#/properties/Payload/items/properties/PR_USER8",
"errorType": "type",
"childErrors": []
}
1. For your first question, we can use xml() method in logic app to do the convert. As I don't know your json data(you mentioned it is a json string in your question), so I assuming that your data is like the data below:
[
{
"name": "Mike",
"city": "ABC"
},
{
"name": "Tom",
"city": "DEF"
}
]
Then we can convert it by following the steps in the screenshot below:
The expression in the screenshot is:
xml(json(concat('{"root":{"person":', variables('test'), '}}')))
After that, we can get the xml data at last:
<root><person><name>Mike</name><city>ABC</city></person><person><name>Tom</name><city>DEF</city></person></root>
2. For your second question about return object or array, it depends on the data you input to the "Parse JSON" action.
If you input the data which is array shown as the screenshot below
We will get a array return from the "Parse JSON" action
If you input the data which is object shown as the screenshot below
We will get an object return from the "Parse JSON" action
Hope it would be helpful to your problems~
Update:
According to your comments, you want to choose some of the fields from the "Parse JSON" and then convert it to xml. I post an example below for your reference:
I assume that your data is like this:
{
"PR_ADD1": "aaa",
"PR_ADD2": "bbb",
"PR_ADD3": "ccc",
"PR_ZONEC": "ddd",
"RLS_GROUP": "eee"
}
And in after parse json, I assume you don't want the field "PR_ZONEC" and keep other four fields, and convert them to xml. So please refer to my logic app:
I do the "Parse JSON" action.
Then, use "Compose" action, and in "Compose" action I remove the field "PR_ZONEC", keep the other four fields.
At last, convert it to xml.
The expression is
xml(json(concat('{"root":', string(outputs('Compose')), '}')))
After these steps, I got the result I want.
The whole of the xml is
<root>
<PR_ADD1>aaa</PR_ADD1>
<PR_ADD2>bbb</PR_ADD2>
<PR_ADD3>ccc</PR_ADD3>
<RLS_GROUP>eee</RLS_GROUP>
</root>

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