How to create workflows on Amorphic?

info

• Follow the steps mentioned below.
• Total time taken for this task: 30 Minutes.
• Pre-requisites: User registration is completed, logged in to Amorphic and role switched

Use-case #1: Convert German-language documents to English.

Create a target Dataset

• Click on 'DATASETS' --> 'Datasets' from left navigation-bar.
• Click on ➕ icon at the top right corner.
• Enter the following information and click on 'Register'.

{
  "Dataset Name": "english_language_ds_<your_userid>"
  "Description": "This dataset is a destination for German to English language conversion documents"
  "Domain": "workshop(workshop)"
  "Data Classifications":
  "Keywords": "German", "English"
  "Connection Type": "API(Default)"
  "File Type": "txt"
  "Target Location": "S3"
  "Update Method": "Append"
  "Enable Malware Detection": "No"
  "Enable AI Services": "No"
  "Enable Data Cleanup": "No"
}

Create a workflow

• Click on 'WORKFLOWS' from the left navigation-bar.
• Click on ➕ icon at the top right corner to create a new workflow.
• Enter the following information and click next.

Workflow Name: convert_german_to_english_<your_userid>
Description: This workflow converts German documents to English.
Keywords: German, English
email_to: ['yourmail1@company.com', 'yourmai2@company.com']   <-- Must be a list
email_subject: German to English Translation
email_body: German to English Translation is done. Check the output dataset.

• Drag a translate node to the workflow.
• Click on edit node using ✏️ icon.
• Enter the following information and click 'save node'.

Node Name: German_2_English
Source Dataset: german_language_ds
File Processing Mode: Changed Data Capture (Only new files will be converted.)
Source Language: German
Taget Language: English
Target Dataset: english_language_ds_<your_userid>

• Drag email node in front of the translate node.
• Click on edit node using ✏️ icon.
• Enter 'Node name' as 'email_notification'. Choose an appropriate email fileds from drop-down list as shown below. Click 'save node'.

• Connect the two nodes by dragging a line from blue end of translate node to the blue beginning of email node as shown below.

• Click submit. You will get a message "Successfully created workflow".
• Click on 'Run Workflow' ▶️ icon at the top.
• Click on 'Executions' tab.
• Click 🔄 icon to refesh. Status of the workflow will turn from 🟠 to ✔️.
• Once the job is finished, click on 'Execution Details'. It will be similar to the following picture.

• Check the output dataset english_language_ds_<your_userid>
• You should see all files from the source dataset are converted to English.

tip

• You may use your own input dataset and add your own German documents.
• Add this workflow to the scheduler to run it on a schedule, based on the requirement.
• Try other types of nodes.