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function summarize_text

Maturity: 52

A deprecated standalone function that was originally designed to summarize groups of similar documents but now only returns the input documents unchanged with a deprecation warning.

File:
/tf/active/vicechatdev/chromadb-cleanup/src/summarization/summarizer.py
Lines:
22 - 35
Complexity:
simple

Purpose

This function is a deprecated placeholder that previously provided document summarization functionality for groups of similar documents. It now serves as a migration path, warning users to use the TextClusterer class with summarization enabled instead. The function accepts a list of document dictionaries and an optional configuration object, but performs no actual summarization.

Source Code

def summarize_text(documents: List[Dict[str, Any]], config: Config = None) -> List[Dict[str, Any]]:
    """
    Summarize groups of documents.
    
    Args:
        documents: List of document dictionaries
        config: Configuration object
        
    Returns:
        List of documents with summaries for similar groups
    """
    print("WARNING: This standalone summarize_text function is deprecated. "
          "Use TextClusterer with summarization enabled instead.")
    return documents

Parameters

Name Type Default Kind
documents List[Dict[str, Any]] - positional_or_keyword
config Config None positional_or_keyword

Parameter Details

documents: A list of dictionaries where each dictionary represents a document. Each document dictionary should contain string keys mapped to values of any type. The structure and required keys are not enforced by this function, but would have been used for grouping and summarization in the original implementation.

config: An optional Configuration object of type Config that would have contained settings for the summarization process (such as model parameters, API keys, clustering settings). Defaults to None if not provided. This parameter is no longer used in the current deprecated implementation.

Return Value

Type: List[Dict[str, Any]]

Returns the exact same list of document dictionaries that was passed as input, without any modifications or added summary fields. The return type is List[Dict[str, Any]], maintaining the same structure as the input documents parameter.

Dependencies

  • openai
  • typing

Required Imports

from typing import List, Dict, Any
from src.config import Config

Usage Example

from typing import List, Dict, Any
from src.config import Config

def summarize_text(documents: List[Dict[str, Any]], config: Config = None) -> List[Dict[str, Any]]:
    print("WARNING: This standalone summarize_text function is deprecated. "
          "Use TextClusterer with summarization enabled instead.")
    return documents

# Example usage
documents = [
    {"id": 1, "text": "First document content", "category": "news"},
    {"id": 2, "text": "Second document content", "category": "news"},
    {"id": 3, "text": "Third document content", "category": "blog"}
]

config = None  # Config object would be created from src.config.Config
result = summarize_text(documents, config)

# Result will be the same as input documents
print(f"Returned {len(result)} documents unchanged")

Best Practices

  • Do not use this function for new implementations - it is deprecated and provides no functionality
  • Migrate existing code to use TextClusterer class with summarization enabled as recommended in the deprecation warning
  • This function serves only as a compatibility layer during migration and will likely be removed in future versions
  • The function signature and imports suggest the original implementation used OpenAI for summarization, so ensure proper API configuration when migrating to TextClusterer
  • Document dictionaries should maintain consistent structure across the list for proper processing by the replacement TextClusterer class

Tags

deprecated text-summarization document-processing nlp text-clustering legacy migration openai document-grouping

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