S3 Extract

Extract an archive file (zip file or tar file) stored on AWS S3.

Details

Downloads archive from S3 into memory, then extract and re-upload to given destination.

The following S3 information is expected to be given as Environment Variables:

AWS_ENDPOINT_URL
AWS_ACCESS_KEY_ID
AWS_SECRET_ACCESS_KEY
CERT_PATH (optional)
CERT_DL_URL (optional)
SIGNATURE_VERSION (optional, defaults to "s3v4")
REGION_NAME (optional, defaults to "us-east-1")

Additionally, these information needed for ClearML remote execution can also be given as Env Variable (optional, args will override env var):

DEFAULT_DOCKER_IMG
DEFAULT_QUEUE

For those not familiar, environment variables can be set through various ways, some being:

export = in terminal
can be set in ~/.bashrc as well for more permanence

Iteratively extracting a folder of zips/tars is supported as well, through --src-is-dir flag.

Usage

usage: run.py [-h] [--src-is-dir] [--dst-bucket DST_BUCKET] [--verbose] [--remote] [--clml-proj CLML_PROJ] [--clml-task-name CLML_TASK_NAME] [--clml-task-type CLML_TASK_TYPE]
              [--docker-img DOCKER_IMG] [--queue QUEUE]
              src_bucket src_path dst_path

positional arguments:
  src_bucket            Source bucket
  src_path              Source path
  dst_path              Destination path

optional arguments:
  -h, --help            show this help message and exit
  --src-is-dir          Flag to indicate that given src path is a directory. Will iteratively extract any files in it ending with .zip or .tar.
  --dst-bucket DST_BUCKET
                        Destination bucket (optional), will default to Source bucket.
  --verbose             print out current upload filename as it progresses
  --remote              use clearml to remotely run job
  --clml-proj CLML_PROJ
                        ClearML Project Name
  --clml-task-name CLML_TASK_NAME
                        ClearML Task Name
  --clml-task-type CLML_TASK_TYPE
                        ClearML Task Type, e.g. training, testing, inference, etc
  --docker-img DOCKER_IMG
                        Base docker image to pull for ClearML remote execution
  --queue QUEUE         ClearML remote execution queue

Example usage:

python run.py my-bucket dataset/coco/images.tar dataset/coco/ --verbose --remote --clml-proj coco --clml-task-name coco_extraction --docker-img ubuntu/20.04 --queue 1xGPU

Extract an archive file (zip file or tar file) stored on AWS S3

Related tags

Overview

S3 Extract

Details

Usage

Owner

Evan

Nintendo Game Boy music assembly files parser into musicxml format

Nmap XML output to CSV and HTTP/HTTPS URLS.

Provides a convenient way to append numpy arrays to a file.

Python function to stream unzip all the files in a ZIP archive: without loading the entire ZIP file or any of its files into memory at once

useful files for the Freenove Big Hexapod

A platform independent file lock for Python

Python library and shell utilities to monitor filesystem events.

Extract the windows major and minor build numbers from an ISO file, and automatically sort the iso files.

Extract longest transcript or longest CDS transcript from GTF annotation file or gencode transcripts fasta file.

A simple bulk file renamer, written in python.

pytiff is a lightweight library for reading chunks from a tiff file

Two scripts help you to convert csv file to md file by template

A python script generate password files in plain text

Annotate your Python requirements.txt file with summaries of each package.

Small Python script to generate a calendar (.ics) file from SIMASTER courses schedule.

A python wrapper for libmagic

Python codes for the server and client end that facilitates file transfers. (Using AWS EC2 instance as the server)

Here is some Python code that allows you to read in SVG files and approximate their paths using a Fourier series.

Convert All TXT Files To One File.

Singer is an open source standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.