Skip to main content

A reusable deployment framework for Python.

Project description

PyDaffodil

pydaffodil is a reusable deployment framework for Python, designed to simplify the process of deploying applications to remote VPS servers.

Features

  • Check for admin privileges
  • Run shell commands
  • Transfer files using SCP
  • Execute SSH commands
  • Modular and reusable deployment steps

Installation

pip install pydaffodil

Usage

from pydaffodil import Daffodil

cli = Daffodil(remote_user="root", remote_host="123.221.11.243", remote_path="/root/prod/bccs")

steps = [
    {"step": "Build the project", "command": lambda: cli.run_command("npm run build")},
    {"step": "Stop backend process on remote server", "command": lambda: cli.ssh_command("sudo forever stop 1")},
    {"step": "Transfer files to remote server", "command": lambda: cli.transfer_files("build")},
    {"step": "Restart backend process on remote server", "command": lambda: cli.ssh_command("sudo forever restartall")}
]

cli.deploy(steps)

How to Republish to PyPI

To republish this project to PyPI after making changes, follow these steps:

1. Update the Version Number

In order to upload a new version to PyPI, you must increment the version number in the setup.py file. For example, if the current version is 1.0.0, change it to 1.0.1:

# setup.py
setup(
    name="pydaffodil",
    version="1.0.1",  # Increment the version number here
    # Other metadata...
)

2. Build the Package

Run the following command to build both the source distribution (.tar.gz) and the wheel (.whl) files:

python -m build

This will generate the package files in the dist/ folder.

3. Upload the Package to PyPI

Once your package is built, you can use twine to upload it to PyPI. Run the following command to upload the new version:

twine upload dist/*

You'll be prompted to enter your PyPI credentials. Make sure to have them ready.

4. Test Your New Release

After uploading, you can verify that the new version has been successfully published by installing it using pip:

pip install --upgrade pydaffodil

This will install the latest version of the package.

5. Re-uploading to TestPyPI (Optional)

If you'd like to test the release before publishing it to the official PyPI, you can upload to TestPyPI instead:

twine upload --repository-url https://test.pypi.org/legacy/ dist/*

Then install it from TestPyPI to verify:

pip install --index-url https://test.pypi.org/simple/ pydaffodil

This ensures that everything is working correctly before pushing the package to the main PyPI repository.

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

pydaffodil-1.0.5.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

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

pydaffodil-1.0.5-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file pydaffodil-1.0.5.tar.gz.

File metadata

  • Download URL: pydaffodil-1.0.5.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pydaffodil-1.0.5.tar.gz
Algorithm Hash digest
SHA256 a2c06c244df1d40cee3f37a0e83ff860e6628fc2abb1322afdf1622ad894f196
MD5 7ff102014e41033d4bd47c9ea452069a
BLAKE2b-256 b22e7bf4d41173b27c8ee1179ddcfb87140b8ab5a5b625e2735582110fae7474

See more details on using hashes here.

File details

Details for the file pydaffodil-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: pydaffodil-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 5.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pydaffodil-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 a4e0ffd27f85cd6e275aeb6a7fbfe6ef1eebde26d51f1a9aa100ade890f8dd15
MD5 5f0c6fac4a9e67efefff4a362b22f3d6
BLAKE2b-256 524f73c17eab59beeb6039174525f466994013673e20df7bbd351dad37fb84ef

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