Synchronize Anaconda environments to/from Amazon S3
Run pip install conda-s3-sync, or python ./setup.py
positional arguments:
BUCKET[/PATH] Bucket and path of S3 location to synchronize to/from
optional arguments:
-h, --help show this help message and exit
--path-filter REGEX Regular expression of env paths to include
--conda-bin PATH Path to conda-binary
--include-root-env Include root Anaconda environment in addition to any
custom envsAWS credentials should be set up using IAM roles, or the usual environment variables (such as AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_DEFAULT_REGION).
Upon execution, the list of currently available Anaconda environments in the local system will be gathered, as will the environments exported to S3. Any environments that are found missing on either side will be synchronized, by exporting the local environment and pushing the resulting YAML description to S3, or by creating a new environment from the remote description.
Similarly, if environments are present both locally and remotely, synchronization is performed from the one modified most recently to the one modified least recently.
Local modification time is determined (and persisted) in the env_path/conda-meta/history file modification time.
Remote modification time is stored as a custom metadata entry in the S3 objects, as AWS does not allow setting a custom LastModified time.
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