How to make a processor

Processors

4CAT is a modular tool. Its modules come in two varietes: data sources and processors. This article covers the latter.

Processors are bits of code that produce a dataset. Typically, their input is another dataset. As such they can be used to analyse data; for example, a processor can take a csv file containing posts as input, count how many posts occur per month, and produce another csv file with the amount of posts per month (one month per row) as output.

4CAT has an API that can do most of the scaffolding around this for you so processors can be quite lightweight and mostly focus on the analysis while 4CAT's back-end takes care of the scheduling, determining where the output should go, et cetera.

Example

This is a minimal example of a 4CAT processor:

"""
A minimal example 4CAT processor
"""
from backend.abstract.processor import BasicProcessor

class ExampleProcessor(BasicProcessor):
	"""
	Example Processor
	"""
	type = "example-processor"  # job type ID
	category = "Examples" # category
	title = "A simple example"  # title displayed in UI
	description = "This doesn't do much"  # description displayed in UI
	extension = "csv"  # extension of result file, used internally and in UI

	input = "csv:body"
	output = "csv:value"

	def process(self):
		"""
		Saves a CSV file with one column ("value") and one row with a value ("Hello
		world") and marks the dataset as finished.
		"""
		data = {"value": "Hello world!"}
		self.write_csv_and_finish(data)