Migrating projects between version control repositories
If your organization has changed Git hosting services, and you therefore need to migrate projects from one supported version control repository to another, Anaconda recommends you follow this high-level process:
- Perform pre-migration setup.
- Run the project migration script.
- Perform post migration cleanup.
- Adding collaborators.
Prerequisites:
- Update the Data Science & AI Workbench config map with the information required to connect to the external version control repository.
- To run the project migration script, you’ll need Administrator access to a command line tool that can run bash or Python scripts on the master node of the Workbench cluster.
- Ensure a recent version of
git
is installed on the master node* You’ll also need the origin Git host token/password, and destination Git host token/password.
Pre-migration setup
-
If you haven’t already done so, on the master node, change to the directory of the unpacked Workbench installer and install the bootstrap conda environment:
-
After the environment is finished installing, you may need to log out and log back in to activate the conda environment.
-
Temporarily disable reverse proxy authentication by adding the following key-value pair to the
git
section (outside of thestorage
section in the config map) of theanaconda-enterprise-anaconda-platform.yml
file used to configure the platform to use an external version control repository:This should look similar to the following:
-
Run the following command to restart the associated pod on the master node:
-
Create a user mappings file that maps Workbench user IDs to Git user IDs. This is a colon-separated text file where the first field is the Workbench user name, and the second field is the corresponding Git user name. For example:
If you intend on migrating to or from a Bitbucket repository, you must use your
Bitbucket account ID
instead of yourBitbucket username
in theuser mappings file
.
Using the migration tool
Using the migration tool with https
instead of http
for the internal storage may result in an SSL error.
The migration tool is a Python script, migrate_projects.py
, found in the Workbench installation tarball. It can be used in the following ways:
For example, the tool can be used in the following way:
To ensure tokens are not visible in bash history, they can be omitted and can be entered via stdin when running the script.
The postgres password can be left blank. When migrating from Workbench, the origin-token
can be left blank. When migrating to Workbench, the dest-token
can be left blank.
When migrating to Gitlab Cloud, please use the --cloud
flag.
Post-migration cleanup
After the script finishes migrating the projects, re-enable reverse proxy
authentication by editing the key-value pair you previously added to the
git
section of the anaconda-enterprise-anaconda-platform.yml
file,
so it looks like the following:
If you do not re-enable reverse proxy authentication, Workbench will not work.
To verify that the new repository is being used by Workbench, edit an existing project and commit your changes to it.
Adding collaborators
If you’ve migrated to github, whenever a user is added to a project as a collaborator, they’ll be sent an invitation to collaborate via email. They’ll need to accept this invitation to be able to commit changes to the repository associated with the project. This does not apply to Github Enterprise.
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