"""
Sentiment analysis tool for MCP server.
"""
from smolagents import Tool
from textblob import TextBlob

class SentimentTool(Tool):
    """Tool for analyzing text sentiment using TextBlob."""
    
    def __init__(self):
        self.name = "sentiment_analysis"
        self.description = "Analyze the sentiment of the given text"
        self.input_type = "object"
        self.output_type = "object"
        self.inputs = {
            "text": {
                "type": "string",
                "description": "The text to analyze"
            }
        }
        self.outputs = {
            "polarity": {
                "type": "number",
                "description": "Sentiment polarity (-1 to 1)"
            },
            "subjectivity": {
                "type": "number",
                "description": "Sentiment subjectivity (0 to 1)"
            },
            "assessment": {
                "type": "string",
                "description": "Overall sentiment assessment"
            }
        }
        self.required_inputs = ["text"]
        self.is_initialized = True

    def forward(self, text: str) -> dict:
        """Analyze sentiment and return structured results."""
        try:
            blob = TextBlob(text)
            sentiment = blob.sentiment
            
            # Determine assessment
            if sentiment.polarity > 0.1:
                assessment = "positive"
            elif sentiment.polarity < -0.1:
                assessment = "negative"
            else:
                assessment = "neutral"
            
            return {
                "polarity": round(sentiment.polarity, 3),
                "subjectivity": round(sentiment.subjectivity, 3),
                "assessment": assessment,
                "text": text
            }
            
        except Exception as e:
            return {"error": f"Failed to analyze sentiment: {str(e)}"}