Welcome to A Lot of Effort’s documentation!¶
Contents:
A Lot of Effort¶
Instantly deploy static HTML sites to S3 at the command line.
I created this out of frustration, after spending a lot of effort trying to find a PyPI package that did this without problems.
Documentation¶
The full documentation is at https://alotofeffort.readthedocs.io.
Quickstart¶
Install it:
pip install alotofeffort
Configure Boto the standard way in ~/.boto:
[Credentials]
aws_access_key_id = ...
aws_secret_access_key = ...
Then use it to deploy a static HTML website to an S3 bucket:
$ alotofeffort www/ mybucket
Features¶
- Uses standard Boto configuration.
- Prints the S3 endpoint URL after deploying.
- Auto-configures the bucket to be a website, with all files public.
- Only files that have changed get uploaded. Files are checked for changes by comparing the local and remote MD5 hashes of the files.
- Never auto-deletes. In fact, it doesn’t delete files at all! (In the future, it will check if any files need to be deleted from S3, and prompt you before deleting anything.)
Installation¶
Install the “alotofeffort” package¶
At the command line:
$ easy_install alotofeffort
Or, if you have virtualenvwrapper installed:
$ mkvirtualenv alotofeffort
$ pip install alotofeffort
Configure boto¶
Save the following in ~/.boto:
[Credentials]
aws_access_key_id = ...
aws_secret_access_key = ...
Replace ... with your AWS access credentials, of course.
Usage¶
Deploy a static website with this command:
$ alotofeffort www/ mybucket
- www/: A directory containing the static HTML/JS/CSS to be deployed.
- mybucket: The name of your S3 bucket.
Contributing¶
Contributions are welcome!
Submitting Feedback¶
The best way to send feedback is to file an issue at https://github.com/audreyr/alotofeffort/issues.
If you are reporting a bug, please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Getting Started¶
Here’s how to set up alotofeffort for local development.
Fork the alotofeffort repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/alotofeffort.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv alotofeffort $ cd alotofeffort/ $ python setup.py develop
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
5. When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 alotofeffort tests
$ python setup.py test
$ tox
To get flake8 and tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines¶
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
- The pull request should work for Python 2.6+ and 3.3+. Check https://travis-ci.org/audreyr/alotofeffort/pull_requests and make sure that the tests pass for all supported Python versions.
Credits¶
Development Lead¶
- Audrey Roy Greenfeld <audreyr@gmail.com>
Contributors¶
- Daniel Roy Greenfeld <pydanny@gmail.com>
History¶
???¶
- Flake8
0.4.0 (2015-09-15)¶
- Upgraded boto to 2.38.0.
- Added tox envs for Python 3.3, 3.4, 3.5.
- PEP 8 cleanup.
- README cleanup.
- Improvements to setup.py.
0.3 (2013-07-27)¶
- Only files that have changed get uploaded. Files are checked for changes by comparing the local and remote MD5 hashes of the files.
0.2 (2013-07-17)¶
- It works on Python 2.6 and 2.7.
0.1 (2013-07-14)¶
- First release on PyPI.