mirror of
https://github.com/gsi-upm/senpy
synced 2024-11-21 15:52:28 +00:00
113 lines
3.5 KiB
ReStructuredText
113 lines
3.5 KiB
ReStructuredText
Advanced plugin definition
|
|
--------------------------
|
|
In addition to finding plugins defined in source code files, senpy can also load a special type of definition file (`.senpy` files).
|
|
This used to be the only mechanism for loading in earlier versions of senpy.
|
|
|
|
The definition file contains basic information
|
|
|
|
Lastly, it is also possible to add new plugins programmatically.
|
|
|
|
.. contents:: :local:
|
|
|
|
..
|
|
What is a plugin?
|
|
=================
|
|
|
|
A plugin is a program that, given a text, will add annotations to it.
|
|
In practice, a plugin consists of at least two files:
|
|
|
|
- Definition file: a `.senpy` file that describes the plugin (e.g. what input parameters it accepts, what emotion model it uses).
|
|
- Python module: the actual code that will add annotations to each input.
|
|
|
|
This separation allows us to deploy plugins that use the same code but employ different parameters.
|
|
For instance, one could use the same classifier and processing in several plugins, but train with different datasets.
|
|
This scenario is particularly useful for evaluation purposes.
|
|
|
|
The only limitation is that the name of each plugin needs to be unique.
|
|
|
|
Definition files
|
|
================
|
|
|
|
The definition file complements and overrides the attributes provided by the plugin.
|
|
It can be written in YAML or JSON.
|
|
The most important attributes are:
|
|
|
|
* **name**: unique name that senpy will use internally to identify the plugin.
|
|
* **module**: indicates the module that contains the plugin code, which will be automatically loaded by senpy.
|
|
* **version**
|
|
* extra_params: to add parameters to the senpy API when this plugin is requested. Those parameters may be required, and have aliased names. For instance:
|
|
|
|
.. code:: yaml
|
|
|
|
extra_params:
|
|
hello_param:
|
|
aliases: # required
|
|
- hello_param
|
|
- hello
|
|
required: true
|
|
default: Hi you
|
|
values:
|
|
- Hi you
|
|
- Hello y'all
|
|
- Howdy
|
|
|
|
A complete example:
|
|
|
|
.. code:: yaml
|
|
|
|
name: <Name of the plugin>
|
|
module: <Python file>
|
|
version: 0.1
|
|
|
|
And the json equivalent:
|
|
|
|
.. code:: json
|
|
|
|
{
|
|
"name": "<Name of the plugin>",
|
|
"module": "<Python file>",
|
|
"version": "0.1"
|
|
}
|
|
|
|
|
|
Example plugin with a definition file
|
|
=====================================
|
|
|
|
In this section, we will implement a basic sentiment analysis plugin.
|
|
To determine the polarity of each entry, the plugin will compare the length of the string to a threshold.
|
|
This threshold will be included in the definition file.
|
|
|
|
The definition file would look like this:
|
|
|
|
.. code:: yaml
|
|
|
|
name: helloworld
|
|
module: helloworld
|
|
version: 0.0
|
|
threshold: 10
|
|
description: Hello World
|
|
|
|
Now, in a file named ``helloworld.py``:
|
|
|
|
.. code:: python
|
|
|
|
#!/bin/env python
|
|
#helloworld.py
|
|
|
|
from senpy import AnalysisPlugin
|
|
from senpy import Sentiment
|
|
|
|
|
|
class HelloWorld(AnalysisPlugin):
|
|
|
|
def analyse_entry(entry, params):
|
|
'''Basically do nothing with each entry'''
|
|
|
|
sentiment = Sentiment()
|
|
if len(entry.text) < self.threshold:
|
|
sentiment['marl:hasPolarity'] = 'marl:Positive'
|
|
else:
|
|
sentiment['marl:hasPolarity'] = 'marl:Negative'
|
|
entry.sentiments.append(sentiment)
|
|
yield entry
|