• Display progress when compressing
• Add option to choose compression method
• Add option to choose compression level
• Verify upload & download don't use too much memory for big archives
• Investigate if checking local checksum is also required for download
• Introduce decompression to download script
• Add option to choose archive retrieval speed
• AWS SNS integration
• Add more programmatical management/storage of Archive IDs
• Warn user when request exceeds AWS Glacier core specifications

My plan is to hack on this in on branch 'hallgrimur1471' and then afterwards hopefully send pull requests from feature branches based on 'develop' branch to tbumi's repository.

Original README.md of tbumi's repository follows:

A simple script to upload files to an AWS Glacier vault.

$ pip install glacier_upload

There are eight scripts available for use.

• glacier_upload: Upload files to glacier (pre-archive if necessary) using multithreaded multipart upload.
• list_all_glacier_uploads: List all glacier uploads currently pending.
• list_parts_in_upload: List all parts that have been uploaded so far in a multipart upload batch.
• init_archive_retrieval: Initiate retrieval for a specific archive.
• init_inventory_retrieval: Initiate inventory retrieval for the whole vault.
• get_glacier_job_output: Get the output of a job (archive retrieval or inventory retrieval)
• abort_glacier_upload: Abort a multipart glacier upload.
• delete_glacier_archive: Delete a glacier archive.

For options and arguments, invoke the corresponding command with --help.

The script will read a file (or more), archive it (them) if it isn't already an archive, split the file into chunks, and spawn a number of threads that will upload the chunks in parallel. Note that it will not read the entire file into memory, but only as it processes the chunks.

The script has only two dependencies: boto3 and click.

It is built to run on Python 3.5 and newer. Python 2 is not supported.

Contributions and/or bug fixes are welcome! Just fork, make a topic branch, and submit a PR. Don't forget to add your name in CONTRIBUTORS.

A good place to start is the TODO file.