Skip to main content

Utility to help handle the process of pulling images to ECR

Project description

PyECR


Command line tool that helps handle interactively the workflow of pushing images to AWS ECR.

  • Create or choose an AWS ECR Repository
  • Pull an docker image to your local Docker
  • Tag your docker image preparing it to upload to ECR
  • Push the tagged docker image to ECR
# To run it, just call it...
$ pyecr

Troubleshooting

Error:

TypeError: load_config() got an unexpected keyword argument 'config_dict'

Solution:

pip uninstall docker-compose
pip uninstall docker-py
pip uninstall docker-compose
pip install --upgrade --force-reinstall --no-cache-dir docker-compose

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyecr-0.0.8.tar.gz (11.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyecr-0.0.8-py3-none-any.whl (12.6 kB view details)

Uploaded Python 3

File details

Details for the file pyecr-0.0.8.tar.gz.

File metadata

  • Download URL: pyecr-0.0.8.tar.gz
  • Upload date:
  • Size: 11.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.26.0 setuptools/58.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.8.5

File hashes

Hashes for pyecr-0.0.8.tar.gz
Algorithm Hash digest
SHA256 962963e62b50f299468b5b96376b10f9fd5015dd52b0460ab49a207cdcf5fe74
MD5 1e9d4c60302b61dad2ed49d760f8a03f
BLAKE2b-256 5213c1c9f8d188ae5879ba0b679b285c78fd28c21ede75621ddf85c774f7e212

See more details on using hashes here.

File details

Details for the file pyecr-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: pyecr-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.26.0 setuptools/58.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.8.5

File hashes

Hashes for pyecr-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 ae3e0782d283b1ab53dadd2382530158ddcfe8bd3a5533ce8b7ef16c1c213127
MD5 aa1d0766d9b8fd0f1460039657356792
BLAKE2b-256 c4a07ff9a5b6f96aeaec3e2407f22729d088550915a4f14a03dc20e4bc59ed48

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page