Module backend.classifier.classifiers.classifier_template.example_classify_result_function

This is a template file that allows you to write your own classify_result function for your classifier based on data that RAT can provide.

Scraping search engines with RAT makes it possible to create a classifier based on the following inputs: - URL of a web page - Main URL of the website - Position in the search engine ranking - Title from the search result snippet - Description from the search result snippet - IP address of the website - Source code of the website - Screenshot of the website - Search query

In the template, however, we will only use the source code of a web document and a predefined search query, the URL and the main URL of the example.

When you are done with your own function to classify a result, you need to add it to: backend/classifier/classifiers/classifier_template.py and save the template as your new classifier.

To do this, you need to create a folder with the same name as your classifier.py file.

Then you need to add it to the "classifier" table in the database. Add the name of your classifier (same name as the folder and Python file) and a display name for the user interface.

Functions

def classify_result(data)

Classify a webpage based on input data and return the classification result.

Args

data

Dictionary containing 'url', 'main', 'code', and 'query' keys with corresponding values.

Returns

str

Classification result indicating whether the webpage is about RAT or not.

def read_file_content(filename)

Read and return the content of a file.

Args

filename

The path to the file to read.

Returns

str

Content of the file as a string.