Metadata-Version: 2.1
Name: s3-tar
Version: 0.1.4
Summary: Tar (and compress) files in s3
Home-page: https://github.com/xtream1101/s3-tar
Author: Eddy Hintze
Author-email: eddy@hintze.co
License: MIT
Description: # s3-tar
        
        [![PyPI](https://img.shields.io/pypi/v/s3-tar.svg)](https://pypi.python.org/pypi/s3-tar)
        [![PyPI](https://img.shields.io/pypi/l/s3-tar.svg)](https://pypi.python.org/pypi/s3-tar)  
        
        
        Create a `tar`/`tar.gz`/`tar.bz2` file from many s3 files and stream back into s3.  
        _*Currently does not preserve directory structure, all files will be in the root dir_  
        
        ## Install
        `pip install s3-tar`
        
        
        ## Usage
        
        ### Command Line
        To see all command line options run:  
        `s3-tar -h`
        
        
        ### Import
        ```python
        from s3_tar import S3Tar
        
        # Init the job
        job = S3Tar(
            'YOUR_BUCKET_NAME',
            'FILE_TO_SAVE_TO.tar',  # Use `tar.gz` or `tar.bz2` to enable compression
            # min_file_size='50MB',  # The min size to make each tar file [B,KB,MB,GB,TB]. If set, a number will be added to each file name
            # target_bucket=None,  # Default: source bucket. Can be used to save the archive into a different bucket
            # cache_size=5,  # Default 5, Number of files to hold in memory to be processed
            # save_metadata=False,  # If True
            # session=boto3.session.Session(),  # For custom aws session
        )
        # Add files, can call multiple times to add files from other directories
        job.add_files('FOLDER_IN_S3/)
        # Add a single file at a time
        job.add_file('some/file_key.json')
        # Star the tar'ing job after files have been added
        job.tar()
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
