💾 Archived View for gemini.hyperlinkyourheart.com › gemicandocs › pages › plugins.gmi captured on 2023-06-16 at 16:17:45. Gemini links have been rewritten to link to archived content
⬅️ Previous capture (2021-11-30)
-=-=-=-=-=-=-
Gemican supports plugins. Plugins are a way to add features to Gemican without having to directly modify the Gemican core.
Gemican has a plugin structure utilizing namespace packages that can be easily installed via Pip[1]. Plugins supporting this structure will install under the namespace package `gemican.plugins` and can be automatically discovered by Gemican. To see a list of Pip-installed namespace plugins that are active in your environment, run:
gemican-plugins
If you leave the `PLUGINS` setting as default (`None`), Gemican will automatically discover namespace plugins and register them. If, on the other hand, you specify a `PLUGINS` setting as a list of plugins, this auto-discovery will be disabled. At that point, only the plugins you specify will be registered, and you must explicitly list any namespace plugins as well.
If you are using the `PLUGINS` setting, you can specify plugins in two ways. The first method specifies plugins as a list of strings. Namespace plugins can be specified either by their full names (`gemican.plugins.myplugin`) or by their short names (`myplugin`):
PLUGINS = ['package.myplugin',
'namespace_plugin1',
'gemican.plugins.namespace_plugin2']
Alternatively, you can import them in your settings file and pass the modules:
from package import myplugin from gemican.plugins import namespace_plugin1, namespace_plugin2 PLUGINS = [myplugin, namespace_plugin1, namespace_plugin2]
Note:
When experimenting with different plugins (especially the ones that deal with metadata and content) caching may interfere and the changes may not be visible. In such cases disable caching with `LOAD_CONTENT_CACHE = False` or use the `--ignore-cache` command-line switch.
If your plugins are not in an importable path, you can specify a list of paths via the `PLUGIN_PATHS` setting. As shown in the following example, paths in the `PLUGIN_PATHS` list can be absolute or relative to the settings file:
PLUGIN_PATHS = ["plugins", "/srv/gemican/plugins"] PLUGINS = ["assets", "liquid_tags", "sitemap"]
There are a large number of existing plugins for Pelican, on which Gemican is based. These may or may not work with Gemican depending on the assumptions they make about the output or what point in the generation process they intervene.
Namespace plugins can be found in the gemican-plugins organization[2] as individual repositories. Legacy plugins are located in the pelican-plugins repository[3] and will be gradually phased out in favor of the namespace versions.
There are no plugins specifically for Gemican at this point in time.
Plugins are based on the concept of signals. Gemican sends signals, and plugins subscribe to those signals. The list of available signals is documented in a subsequent section.
The only rule to follow for plugins is to define a `register` callable, in which you map the signals to your plugin logic. Let's take a simple example:
import logging
from gemican import signals
log = logging.getLogger(__name__)
def test(sender):
log.debug("%s initialized !!", sender)
def register():
signals.initialized.connect(test)
Note:
Signal receivers are weakly-referenced and thus must not be defined within your `register` callable or they will be garbage-collected before the signal is emitted.
If multiple plugins connect to the same signal, there is no way to guarantee or control in which order the plugins will be executed. This is a limitation inherited from Blinker[4], the dependency Gemican uses to implement signals.
Namespace plugins must adhere to a certain structure in order to function properly. They need to be installable (i.e. contain `setup.py` or equivalent) and have a folder structure as follows:
myplugin ├── gemican │ └── plugins │ └── myplugin │ ├── __init__.py │ └── ... ├── ... └── setup.py
It is crucial that `gemican` or `gemican/plugins` folder **not** contain an `__init__.py` file. In fact, it is best to have those folders empty besides the listed folders in the above structure and keep your plugin related files contained solely in the `gemican/plugins/myplugin` folder to avoid any issues.
Here is the list of currently implemented signals:
================================= ============================ ===========================================================================
Signal Arguments Description
================================= ============================ ===========================================================================
initialized gemican object
finalized gemican object invoked after all the generators are executed and just before gemican exits
useful for custom post processing actions, such as:
- minifying js/css assets.
- notify/ping search engines with an updated sitemap.
generator_init generator invoked in the Generator.__init__
all_generators_finalized generators invoked after all the generators are executed and before writing output
readers_init readers invoked in the Readers.__init__
article_generator_context article_generator, metadata
article_generator_preread article_generator invoked before a article is read in ArticlesGenerator.generate_context;
use if code needs to do something before every article is parsed
article_generator_init article_generator invoked in the ArticlesGenerator.__init__
article_generator_pretaxonomy article_generator invoked before categories and tags lists are created
useful when e.g. modifying the list of articles to be generated
so that removed articles are not leaked in categories or tags
article_generator_finalized article_generator invoked at the end of ArticlesGenerator.generate_context
article_generator_write_article article_generator, content invoked before writing each article, the article is passed as content
article_writer_finalized article_generator, writer invoked after all articles and related pages have been written, but before
the article generator is closed.
get_generators gemican object invoked in Gemican.get_generator_classes,
can return a Generator, or several
generators in a tuple or in a list.
get_writer gemican object invoked in Gemican.get_writer,
can return a custom Writer.
page_generator_context page_generator, metadata
page_generator_preread page_generator invoked before a page is read in PageGenerator.generate_context;
use if code needs to do something before every page is parsed.
page_generator_init page_generator invoked in the PagesGenerator.__init__
page_generator_finalized page_generator invoked at the end of PagesGenerator.generate_context
page_generator_write_page page_generator, content invoked before writing each page, the page is passed as content
page_writer_finalized page_generator, writer invoked after all pages have been written, but before the page generator
is closed.
static_generator_context static_generator, metadata
static_generator_preread static_generator invoked before a static file is read in StaticGenerator.generate_context;
use if code needs to do something before every static file is added to the
staticfiles list.
static_generator_init static_generator invoked in the StaticGenerator.__init__
static_generator_finalized static_generator invoked at the end of StaticGenerator.generate_context
content_object_init content_object invoked at the end of Content.__init__
content_written path, context invoked each time a content file is written.
feed_generated context, feed invoked each time a feed gets generated. Can be used to modify a feed
object before it gets written.
feed_written path, context, feed invoked each time a feed file is written.
================================= ============================ ===========================================================================
Avoid `content_object_init` signal if you intend to read `summary` or `content` properties of the content object. That combination can result in unresolved links when linking to internal content. Use `_summary` and `_content` properties instead, or, alternatively, run your plugin at a later stage (e.g. `all_generators_finalized`).
We eventually realised some of the recipes to create plugins would be best shared in the documentation somewhere, so here they are!
One thing you might want is to add support for your very own input format. While it might make sense to add this feature in Gemican core, we wisely chose to avoid this situation and instead have the different readers defined via plugins.
The rationale behind this choice is mainly that plugins are really easy to write and don't slow down Gemican itself when they're not active.
No more talking — here is an example:
from gemican import signals
from gemican.readers import BaseReader
# Create a new reader class, inheriting from the gemican.reader.BaseReader
class NewReader(BaseReader):
enabled = True # Yeah, you probably want that :-)
# The list of file extensions you want this reader to match with.
# If multiple readers were to use the same extension, the latest will
# win (so the one you're defining here, most probably).
file_extensions = ['yeah']
# You need to have a read method, which takes a filename and returns
# some content and the associated metadata.
def read(self, filename):
metadata = {'title': 'Oh yeah',
'category': 'Foo',
'date': '2012-12-01'}
parsed = {}
for key, value in metadata.items():
parsed[key] = self.process_metadata(key, value)
return "Some content", parsed
def add_reader(readers):
readers.reader_classes['yeah'] = NewReader
# This is how gemican works.
def register():
signals.readers_init.connect(add_reader)
Adding a new generator is also really easy. You might want to have a look at internals for more information on how to create your own generator.
def get_generators(gemican_object):
# define a new generator here if you need to
return MyGenerator
def register():
signals.get_generators.connect(get_generators)
Adding a writer will allow you to output additional file formats to disk, or change how the existing formats are written to disk. Note that only one writer will be active at a time, so be sure to either subclass the built-in Writer, or completely re-implement it.
Here is a basic example of how to set up your own writer:
from gemican.writers import Writer
from gemican import signals
class MyWriter(Writer):
# define new writer functionality
pass
def add_writer(gemican_object):
# use gemican_instance to setup stuff if needed
return MyWriter
def register():
signals.get_writer.connect(add_writer)
2: https://github.com/pelican-plugins
3: https://github.com/getpelican/pelican-plugins