Content Cleaner

​

Installation

To use the ContentCleaner, you first need to install the purecpp_extract Python package.

Before you begin, ensure your environment meets the following requirements:

• Python 3.9, 3.10, 3.11: PureCPP is compatible with the latest versions of Python.
• Linux/WSL support: The library is fully compatible with Linux-based systems and Windows Subsystem for Linux (WSL).
• pip: Ensure pip is installed and updated to the latest version.

pip install purecpp_chunks_clean

​

Default Cleaning Patterns

When you initialize the ContentCleaner without passing any patterns, it uses the following default regex patterns:

​

Usage

​

Initialization

You can initialize the ContentCleaner using default patterns or provide custom patterns.

from purecpp_chunks_clean import ContentCleaner

# Initialize with default patterns
cleaner = ContentCleaner()

​

Cleaning a Document

To clean the text of a document, use the ProcessDocument method. For creating documents, use the RAGDocument class from purecpp_libs.

from purecpp_libs import RAGDocument

input_data = "This is a test doc with       multiple spaces."
doc = RAGDocument(page_content=input_data, metadata={})

cleaned_doc = cleaner.ProcessDocument(doc)
print(cleaned_doc.page_content)
# Output: "This is a test doc with multiple spaces."

​

Using Custom Cleaning Patterns

You can add extra regex patterns to further clean your document. These custom patterns are applied after the default patterns.

​

Example

Suppose we want to remove the word “test” from the string:

regex_pattern_to_remove = r"test"

# Apply custom patterns during processing
cleaned_doc = cleaner.ProcessDocument(doc, [regex_pattern_to_remove])
print(cleaned_doc.page_content)
# Output: "This is a  doc with multiple spaces."