Rclone wrapper to manage multiple datasets in a project
Project description
Rkale
Install
Install Rkale:
pip install rkale
Configuration
Global
~/.config/rkale/rkale.conf:
[data]
root = "path to root data folder"
[aliases]
wasabi="value to match remote in rclone.conf"
root = root folder.
If alases are empty the remote name from the project config is used in the rclone lookup.
Project
Add the rkale tool definition in the pyproject.toml file:
~/<project path>/pyproject.toml:
[[tool.rkale.dataset]]
name = "dataset_1"
remote = "remote_1"
[[tool.rkale.dataset]]
name = "dataset_2"
remote = "remote_2"
The remote specified for the dataset must match a remote in the rclone.conf or an alias in the global rkale configuration.
Project example
$ rkale psync
Syncs the datasets specified in the ~/<project path>/pyproject.toml to be identical with their remotes.
$ rkale psync --upstream
Syncs the remote datasets specified in the ~/<project path>/pyproject.toml to be identical with their locals.
Global example
rkale sync <source> <destination>
Same as rclone but first checks the result of the operation requires user consent before executing.
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