AWS scripts for geoadmin
Project description
tool-aws
Macro CMDs for managing AWS resources
Installation
$ pip install tool_aws
Usage
Batch delete files in S3 by listing content iteratively with a prefix.
$ s3rm --bucket-name ${BUCKET_NAME} --prefix ${PATH}
Batch delete tiles in S3 using a bbox in LV95:
$ s3rm --bucket-name ${BUCKET_NAME} --prefix /1.0.0/ch.swisstopo.fixpunkte-agnes/default/current/2056/* --bbox 2671000,1139000,2712250,1158500 --image-format png
You can always use the help function:
$ s3rm --help
usage: s3rm [-h] -b BUCKETNAME -p PREFIX [--profile PROFILENAME] [--bbox BBOX]
[-n NBTHREADS] [-s CHUNKSIZE] [-i IMAGEFORMAT] [-lr LOWRES]
[-hr HIGHRES] [-f]
Purpose:
This script is intended for efficient and MASSIVE RECURSIVE
DELETION of S3 'folders'. This mean that any resource matching with
the PREFIX variable, will be DELETED IRREVERSIVELY.
Use this script CAREFULLY.
optional arguments:
-h, --help show this help message and exit
Mandatory arguments:
-b BUCKETNAME, --bucket-name BUCKETNAME
bucket name
-p PREFIX, --prefix PREFIX
Prefix (string) relative to the bucket base path.
Program options:
--profile PROFILENAME
AWS profile
--bbox BBOX a bounding box in lv95
-n NBTHREADS, --threads-number NBTHREADS
Number of threads (subprocess), default: machine
number of CPUs
-s CHUNKSIZE, --chunk-size CHUNKSIZE
Chunk size for S3 batch deletion, default is set to
1000 (maximal value for S3)
-i IMAGEFORMAT, --image-format IMAGEFORMAT
The image format
-lr LOWRES, --lowest-resolution LOWRES
The lowest resolution in meters
-hr HIGHRES, --highest-resolution HIGHRES
The highest resolution in meters
-f, --force force the removal, i.e. no prompt for confirmation.
Disclaimer:
This software is provided "as is" and
is not granted to work in particular cases or without bugs.
The author disclaims any responsability in case of data loss,
computer damage or any other bad issue that could arise
using this software.
Setup in dev mode
$ python3 -m env .venv
$ source .venv/bin/activate
$ pip install -e .
$ pip install -r dev-requirements.txt
To launch the tests:
$ nosetests tests/
Style
Control styling:
$ flake8 tool_aws/ tests/
Autofix mistakes:
$ find tool_aws/* tests/* -type f -name '*.py' -print | xargs autopep8 --in-place --aggressive --aggressive --verbose
Project details
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