Beginner's Course implemented in Python

https://robocorp.com/docs/courses/beginners-course

Process description

Process is split into 2 steps. First step, downloadTask, downloads Excel file which is read and stored in list format into work item variable. Second step, processingTask, reads the work item variable content and goes through each item in the list variable.

The processingTask is run by default in headless mode, but UI can be set visible by setting environment variable SHOW_UI to any value.

The main process output is stored into output/sales.zip file, which contains all images and PDFs created during the processingTask step. Output folder is in the .gitignore and thus not visible in this repository.

RPA Framework libraries used in downloadTask

• RPA.Excel.Files
• RPA.FileSystem
• RPA.HTTP
• RPA.Robocloud.Items

RPA Framework libraries used in processingTask

• RPA.Archive
• RPA.Browser
• RPA.FileSystem
• RPA.PDF
• RPA.Robocloud.Secrets
• RPA.Robocloud.Items

Robocorp Vault

Needs to have secret key salessite containing secrets for username and password defined in the Beginner's Course website.

To run in development

These steps describe how to use Robocorp Cloud Vault and local workitems file for development runs.

Note. These steps are not necessary if process is run only in the Cloud.

1. create folder devdata into task root folder (this folder is in .gitignore file)
2. create empty workitems.json file into devdata folder
3. create env.json into devdata folder with following content

    {
        "RC_WORKSPACE_ID": "MY_WORKSPACE_ID",
        "RC_API_SECRET_HOST": "https://api.eu1.robocloud.eu",
        "RC_API_SECRET_TOKEN": "MY_AUTH_TOKEN",
        "RC_WORKITEM_ID": "MY_WORKSPACE_ID",
        "RPA_WORKITEMS_ADAPTER": "RPA.Robocloud.Items.FileAdapter",
        "RPA_WORKITEMS_PATH": "./devdata/workitems.json"
    }

4. replace MY_WORKSPACE_ID parts with your ID from output from command: rcc cloud workspace
5. replace MY_AUTH_TOKEN with output from command: rcc cloud authorize -w <MY_WORKSPACE_ID>

Running in command line

Execute the run command: rcc run -e devdata/env.json -t downloadTask

Running in Robocorp Lab

1. in Lab terminal - execute the run command: rcc run -t downloadTask
2. using notebook mode Restart Kernel and Run All Cells
3. using Run Robot button

Running in Visual Studio Code

1. use terminal and run with rcc like mentioned above
2. run using Robocorp Code extension
3. run using VS Code command palette Robocorp: Run Robot

Links

https://forum.robocorp.com/t/is-it-possible-to-have-a-locally-run-robot-fetch-secrets-from-robocorp-cloud-vault/297