mara-storage 1.1.1

Configuration of storage connections for mara

Mara Storage

Mini package for configuring and accessing multiple storages in a single project. Decouples the use of storages and their configuration by using "aliases" for storages.

The file mara_storage/storages.py contains abstract storage configurations for local disk and cloud storages. The storage connections of a project are configured by overwriting the storages function in mara_storage/config.py:

import pathlib
import mara_storage.config
import mara_storage.storages

## configure storage connections for different aliases
mara_storage.config.storages = lambda: {
    'data': mara_storage.storages.LocalStorage(base_path=pathlib.Path('data')),
    'gcs-bucket-1': mara_storage.storages.GoogleCloudStorage(bucket_name='my_data_lake_bucket_1', project_id='my_awesome_project')
}

## access individual storage configurations with `storages.storage`:
print(mara_storage.storages.storage('data'))
# -> <LocalStorage: base_path=data>

This packages gives the possibility to configure, manage and access multile storages in mara.

 

Batch processing: Accessing storages with shell commands

The file mara_storage/shell.py contains functions that create commands for accessing storage files via their command line clients.

For example, the read_file_command function creates a shell command that reads a file from a storage and returns its content to stdout:

import mara_storage.shell

file = 'my_domain.com/logs/2020/11/15/nginx.node-1.error.log'

print(mara_storage.shell.read_file_command('data', file_name=file))
# -> cat /mara/data/my_domain.com/logs/2020/11/15/nginx.node-1.error.log

print(mara_storage.shell.read_file_command('gcs-bucket-1', file_name=file))
# -> gsutil cat gs://my_data_lake_bucket_1/my_domain.com/logs/2020/11/15/nginx.node-1.error.log

The function write_file_command creates a shell command that receives a data on stdin and writes it to the storage:

import mara_storage.shell

command = 'echo "Hello World!"'
command += ' | '
command += mara_storage.shell.write_file_command('data', file_name='hello-world.txt')

print(command)
# -> echo "Hello World!" | cat - > /mara/data/hello-world.txt

Finally, delete_file_command creates a shell command that deletes a file from the local storage:

import mara_storage.shell

print(mara_storage.shell.delete_file_command('data', file_name='hello-world.txt'))
# -> rm -f /mara/data/hello-world.txt

 

The following command line clients are used to access the various databases:

Storage	Client binary	Comments
Local storage	unix shell	Included in standard distributions.
SFTP storage	sftp, curl
Google Cloud Storage	gsutil	From https://cloud.google.com/storage/docs/gsutil_install.
Azure Storage	azcopy, curl	From https://docs.microsoft.com/en-us/azure/storage/common/storage-use-azcopy-v10

 

Installation

To use the library directly, use pip:

pip install mara-storage

or

pip install git+https://github.com/mara/mara-storage.git

Links

• Documentation: https://mara-storage.readthedocs.io/
• Changes: https://mara-storage.readthedocs.io/en/latest/changes.html
• PyPI Releases: https://pypi.org/project/mara-storage/
• Source Code: https://github.com/mara/mara-storage
• Issue Tracker: https://github.com/mara/mara-storage/issues