ValidationAgent/tools/GapIdentificationTool.py

from agency_swarm.tools import BaseTool
from pydantic import Field
import re

class GapIdentificationTool(BaseTool):
    """
    This tool analyzes the report to find any logical gaps or inconsistencies in the data or narrative.
    """

    report_content: str = Field(
        ..., description="The content of the report to be analyzed for logical gaps or inconsistencies."
    )

    def run(self):
        """
        Analyzes the report content to identify logical gaps or inconsistencies in the data or narrative.
        """
        # Define patterns or keywords that might indicate logical gaps or inconsistencies
        gap_indicators = [
            "however", "but", "although", "nevertheless", "in contrast", "on the other hand"
        ]

        # Find sentences with potential logical gaps
        potential_gaps = []
        sentences = re.split(r'(?<=[.!?]) +', self.report_content)
        for sentence in sentences:
            if any(indicator in sentence for indicator in gap_indicators):
                potential_gaps.append(sentence)

        # Check for inconsistencies in data (e.g., conflicting numbers)
        # This is a simple example using regex to find numbers
        numbers = re.findall(r'\b\d+\b', self.report_content)
        inconsistencies = []
        if len(set(numbers)) != len(numbers):
            inconsistencies.append("Conflicting numerical data found.")

        # Compile the analysis results
        analysis_results = {
            "potential_gaps": potential_gaps,
            "inconsistencies": inconsistencies
        }

        # Return the analysis results as a string
        return f"Analysis Results: {analysis_results}"