As I mentioned in the last post, I want to create a workflow that I can easily scan evaluations forms, extract the values in the forms and then able to put them in another folder, so I can access them via Power BI to analyze the evaluations.
In the first post, I create my form processing model that can analyze and detect the fields in the form.
Second Step: Create Workflow that using form Processing Model
Log into Microsoft Flow with the same account you created the form processing model. After sign in, make sure you are in the sane environment and you can see the AI Builder Icon in the left pannel
Note! you need to create a solution to use AI Builder model here!
Click on the Solutions option, create a new Solution and name it you can specify the Display Name, Name, Publisher ( That I select the CDS default Publisher).
I create a new solution with the name of AI Builder.
Navigate to the new environment, in the AI Builder –> solution click on the New option.
By clicking on the Flow option, you will be navigated to the Flow creating the page. In the new page, for the trigger, you need to choose the Onedrive
and choose the Trigger When a file is created.
For Onedrive, you need to specify the path of the folder, for when a file is created. My aim is to put the scan files ( in jpg format) there, so when a file is created there, the Microsoft Flow activated.
——-> 
Add a new step to call the AI model created in Form Processing model. you need to search for Predict action.
Note! you do not have access to Predict option in normal Flow creating, that why you need to create flow in the solution first.
after selecting the Predict action, you need to select two fields:
Model and Request Payload.
In the Model, select the model you created in the last steps.
{
“base64Encoded”: “EXPRESSION“,
“mimeType”: “image/jpeg“
}
for pdf, you need to change the code as below: the type change to application and pdf
{
“base64Encoded”: “EXPRESSION“,
“mimeType”: “application/pdf“
}
In this example, I am using the image/jpeg file.
however, I need to pass the file name from ONedrive to the code and replace it with Expression
just make sure to put the code in Expression area first.
Before going to next step for analysing the result, Test and Run the code to make sure you access to Onedrive and also the Predict code works well, and also copy the JSON output to create a schema.
so Save (put proper name also), Then click on the Test to see the first run. Make sure to have some data in the Onedrive folder ( form). If there is no error, you should see the green message as your flow run successfully.
Now click on the Predict, then Output, and copy the JSON code.
and back to Edit Mode again. We need to pars the result, the output of the Predict component is a JSON code, so we need the JSOn Parser component. Click on the New Step and search for Parse JSON. In Parse JSON, you need to put the Content fields, click and from Dynamic Content select the Response Payload.
Now, click on the Schema section, and use the option Use Sample payload to generates the schema.
Now in the new editor past the code, you already copied and then click on the Done.
The schema will be generated.
We need to write back the result to another folder in Onedrive as result. In the next step, choose other action, create a file in one drive.
3 things we need to consider:
1- Folder Path in One Drive: need to create the folder beforehand and put the link in the filed
2- File Name: should be Unique name: I want to create a file with : current date and time+filename and the file type as txt
3- File Content: The data to be written in the output
I use function concat to create a text for the out put
concat()
then the first comment was Evaluation Comment
so my code change to
concat(‘Evaluation comment :’,)
the other elemnts I want to add was the json part for the field What you Learned, to extract that part I use below code
body(‘Parse_JSON’)?[‘predictionOutput’]?[‘labels’]?[‘What you learned’]?[‘value’]
Now, I concat it again
concat(‘Evaluation comment :’,body(‘Parse_JSON’)?[‘predictionOutput’]?[‘labels’]?[‘What you learned’]?[‘value’])
I did the same for the Session title and Speaker Name so finally the code is:
concat(‘Evaluation comment :’,body(‘Parse_JSON’)?[‘predictionOutput’]?[‘labels’]?[‘What you learned’]?[‘value’] , ‘ -Session Title: ‘,body(‘Parse_JSON’)?[‘predictionOutput’]?[‘labels’]?[ ‘Session Title’]?[‘value’], ‘ -Speaker Name : ‘,body(‘Parse_JSON’)?[‘predictionOutput’]?[‘labels’]?[‘Speaker Name’]?[‘value’])
Just Save again the whole flow and test it with the Current One drive test.
Now I check the OneDrive, a new file has been created
so the information in the one drive has been read from folder scan, then form processing model has been applied, now the text is accessible from result folder.
After test now you can upload the files to Scan folder and see the result in Result folder.
Next, you can analyse the result using Power BI.
Some note from my demo: for Trigger the Form processing using creating a file in Onedrive, Upload and copy a file will be considered as creating a file and the flow trigger. But Move to option does not consider as creating a new file.
https://docs.microsoft.com/en-us/ai-builder/form-processing-model-in-flow
