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Compute ETags and MD5s

The tool provides methods to calculate ETags for Objects on AWS S3, and also md5s, on local objects. It also allows comparing ETags or md5s to check the integrity of files, both locally and on AWS S3, given a list of files and their calculated ETags.

Installation

pip install compETAG

Usage

The following example will compute ETags for local files with the same chunk size used by AWS on S3:

compute_etags -i <file1> <file2> .... -m etag -s 8MB -o out.txt

Chunk size can be set to any desired value:

compute_etags -i <file1> <file2> .... -m etag -s 1GB

With mode fixed at md5, the resulting calculation will be md5 hashes:

compute_etags -i <file1> <file2> .... -m md5

To retrieve ETags from objects on AWS S3, setting mode to s3uri will redirect the tool to AWS S3, provided a bucket/s, key/s, and pattern/s (optional):

compute_etags -m s3uri -b <bucket1> <bucket2> .. -k <key1> <key2> .. -p <pattern1> <pattern2> ..

To check the integrity of local files or AWS S3 objects, the following will calculate or retrieve ETags or md5s on the list of files provided in a text file, and compare the results to the provided hashings. Each row in the input text file represents a pair of ETag/md5 hash and a file name.

  • Checking ETags of local files:

    compute_etags -c <input.txt> -m etags

  • Checking md5s of local files:

    compute_etags -c <input.txt> -m md5

  • Checking ETags of AWS S3 objects:

    compute_etags -c <input.txt> -m s3uri -b <bucket1> <bucket2> .. -k <key1> <key2> ..

Release files for compETAG 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for compETAG 0.0.3
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compETAG-0.0.3.tar.gz 5.5 kB Details

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Table of built distributions (wheels) for compETAG 0.0.3
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compETAG-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 13.0 kB

Release files / compETAG-0.0.3.tar.gz

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Release files / compETAG-0.0.3-py3-none-any.whl

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Size 7.5 kB
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