Lektor plugin to support publishing to S3
lektor-s3 makes it easy to deploy your Lektor project to an S3 bucket.
Before you start
You're going to be storing your website's data in an S3 bucket. The code here won't do anything to create or configure that bucket. You'll have to create the S3 bucket and set it up yourself.
AWS has a pretty good guide for how to set up a bucket to host a static website. You'll need to both create the bucket and set its permissions to allow global read access. Remember to do this first because lektor-s3 won't do it automatically.
Installation and Usage
Install with the usual Lektor toolchain. Within your project, run
lektor plugins add lektor-s3
You should see a message saying lektor-s3 has been added to the project.
Next, add an S3 bucket to your project's servers. In your project file
blog.lektorproject), add the following:
[servers.s3] name = S3 enabled = yes target = s3://<YOUR-BUCKET>
For example, if you wanted to deploy to a bucket named 'huntedwumpus', you'd make that last line
target = s3://huntedwumpus
Now, if you call
lektor deploy s3, Lektor will upload your built
website to S3 in the bucket you targeted.
Optionally, you can also provide a CloudFront distribution ID. If you do, Lektor will invalidate all objects in that CloudFront distribution after every deploy.
cloudfront = <YOUR-DISTRIBUTION-ID>
You need to prove to S3 that you have permission to upload to the bucket you've chosen.
lektor-s3 uses boto, which means it will obey boto's usual flow for gathering credentials.
For a refresher, that means you have two options: you can store your
credentials in an INI file at
~/.aws/credentials, or you can pass
credentials in through the environment variables
If you have multiple sets of credentials, you can group them into profiles in
your credentials file and choose the right one using the
environment variable. Your
~/.aws/credenials file might look like this:
[work] aws_access_key_id = <...> aws_secret_access_key = <...> [personal] aws_access_key_id = <...> aws_secret_access_key = <...>
And then you can invoke
lektor with the environment variable:
$ AWS_PROFILE=personal lektor deploy`
You can specify headers to be attached to particular files when uploading them
to S3. These can be configured in an INI file at
configs/s3.ini under your
You can name the sections anything that makes sense to you, but every section
must have either a
match or an
extensions item to specify which files the
configuration applies to. If using
match, you should write this as a regular
expression that will be applied against the filename using the regular
expression's search method. If using
extensions, write a comma-separated list
of the file extensions to which the configuration applies. Both
extensions may be specified.
The rest of the items in each section should specify one or more headers and
their values. A list of valid headers is defined in the boto documentation as
Defaults can be defined via the usual INI file way, in a
For example, your configuration file might look like this:
[DEFAULT] CacheControl = public,max-age=3600 [static files] match = \.(css|js|woff|woff2)$ CacheControl = public,max-age=31536000 [media] extensions = jpg,jpeg,png,mp4 CacheControl = public,max-age=259200 [fonts] extensions = woff2 ContentType = application/font-woff2 [documents] extensions = html,txt ContentLanguage = en
Pull requests are super useful and encouraged! Once accepted, changes
are published using lektor with
lektor dev publish-plugin.
Run your tests by invoking
python setup.py test.
Release history Release notifications
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|lektor_s3-0.5.1-py3-none-any.whl (6.7 kB) Copy SHA256 hash SHA256||Wheel||py3||May 11, 2018|
|lektor-s3-0.5.1.tar.gz (6.7 kB) Copy SHA256 hash SHA256||Source||None||May 11, 2018|