A bot framework that automatically sends announcements (or any other file) to a specified email address on Saturday night or when the script is run.
Project description
Auto Announcements
A bot framework that automatically sends announcements (or any other file) to a specified email address.
Key Features • Download • How To Use • Support • Contributing • Changelog • Credits & Contributors
Key Features
- Automatically send file on a schedule or on dispatch.
- Prompt for send and receive email addresses.
- Email addresses can be hard coded.
- Customizable HTML email body.
- Cross Platform.
Download
You can download the source code to run the scripts from the command line on Windows, macOS and Linux. This will require Python.
You can download the latest executable version of Auto Announcements for Windows. This does not require Python.
How To Use
To run the application, you can use Git and the Python Interpreter, which allows you to clone and run the application, pip
to create a command line application, or Docker to create a container of the application.
Git
To clone and run this application, you'll need Git and Python installed on your computer. If you would rather not use Git, you can just download the script from GitHub above. From your command line:
# Clone this repository
$ git clone https://github.com/Dog-Face-Development/Auto-Anouncements
# Go into the repository
$ cd Auto-Annoucenments
# Run the CLI
$ python send.py
pip
You can install the program from the Python Package Index through pip
.
# Install via pip
$ pip install auto-announcements
# Run the CLI
$ auto-announcements
Docker
You can pull the Docker image from GitHub Packages. From your command line:
# Pull image
$ docker pull ghcr.io/dog-face-development/auto-anouncements:master
# Run container
$ docker run -i -t ghcr.io/dog-face-development/auto-anouncements:master python send.py
Support
Customization for Auto Announcements can be found in the CUSTOMIZATION
doc. More documentation is available in the Documentation and on the Wiki. If more support is required, please open a GitHub Discussion or join our Discord.
Contributing
Please contribute using GitHub Flow. Create a branch, add commits, and open a pull request.
Please read CONTRIBUTING
for details on our CODE OF CONDUCT
, and the process for submitting pull requests to us (including how to sign our CLA).
Changelog
See the CHANGELOG
file for details.
Credits
This software uses the following open source packages, projects, services or websites:
GitHub | Python Software Foundation | PyInstaller | Carbon |
Web - Plans | Web - Donate | Web - Donate | Web |
Contributors
- @willtheorangeguy - Sponsor on PayPal
You may also like...
- ProgramVer - An open-source, Python GUI version window to show copyright info and licenses.
- PyWorkout - A minimal CLI to keep you inspired during your workout!
- PyAvatar - Easily display all of your creative avatars to keep them consistent across websites.
License
This project is licensed under the GNU General Public License - see the LICENSE
file for details. See the Privacy Policy, Terms and Conditions, and EULA for legal information.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file Auto-Announcements-0.2.0.tar.gz
.
File metadata
- Download URL: Auto-Announcements-0.2.0.tar.gz
- Upload date:
- Size: 42.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 858c6cd931f94b120d2fb75908ebd5874602f4af35669a3ecc31dd44b54202df |
|
MD5 | e225979e92ea6ede1838b3394b14cc11 |
|
BLAKE2b-256 | db581fd8c0144d5911c8a0852cafc9b565551b2093ea2c4cac5a1affc25e4f16 |
File details
Details for the file Auto_Announcements-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: Auto_Announcements-0.2.0-py3-none-any.whl
- Upload date:
- Size: 28.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1d0353b28141e4a4eaad9b6f40e6dc856e62dca0c4d2d3d796c8577a09ab8178 |
|
MD5 | ccac394c069cee56281e6d49e797901f |
|
BLAKE2b-256 | 8effc5f5e3ac51e67e0ab10d9f4a327dfef3ac83708276fc28891cde0f8371b5 |