Describe your robot here. E.g., what it does, what the requirements are, how to run it.
Run the robot locally:
rcc run
Provide access credentials for Control Room connectivity:
rcc configure credentials <your_credentials>
Upload to Control Room:
rcc cloud push --workspace <workspace_id> --robot <robot_id>
The directory structure given by the template:
├── devdata
├── keywords
│ └── keywords.robot
├── libraries
│ └── MyLibrary.py
├── resources
│ └── variables.py
├── conda.yaml
├── robot.yaml
└── tasks.robot
where
devdata: A place for all data/material related to development, e.g., test data. Do not put any sensitive data here!keywords: Robot Framework keyword files.libraries: Python library code.resources: Define your resources in a centralized place. For example the robot variables can be defined in here. Do not put any sensitive data here!conda.yaml: Environment configuration file.robot.yaml: Robot configuration file.tasks.robot: Robot Framework task suite - high-level process definition.
In addition to these, you can create your own directories (e.g. bin, tmp). Add these directories to the PATH or PYTHONPATH section of robot.yaml if necessary.
Logs and artifacts are stored in output by default - see robot.yaml for configuring this.
Learn how to handle variables and secrets.
Give the task name and startup commands in robot.yaml with some additional configuration. See Docs for more.
Put all the robot dependencies in conda.yaml. These are used for managing the execution environment.
See Robocorp Docs for more documentation.