use pyo3::prelude::*;
use pyo3::exceptions::PyValueError;
use serde::{Deserialize, Serialize};
use serde_json::{Value, json};

#[derive(Deserialize)]
struct AgentEvalInput {
    tasks: Value,
    agent_traces: Value,
    metrics: Option<Vec<String>>,
    available_tools: Vec<String>,
    safety_policies: Vec<String>,
    goal_tracking: bool,
}

#[derive(Serialize)]
struct AgentEvalResult {
    tool_selection_accuracy: f64,
    reasoning_coherence: f64,
    goal_completion_rate: f64,
    safety_compliance_score: f64,
    efficiency_ratio: f64,
}

#[pyfunction]
pub fn agent_eval_evaluate(input_json: &str) -> PyResult<String> {
    let _input: AgentEvalInput = serde_json::from_str(input_json)
        .map_err(|e| PyValueError::new_err(format!("Invalid input JSON: {}", e)))?;
    
    // Toy metrics simulating real evaluation
    let result = AgentEvalResult {
        tool_selection_accuracy: 0.91,
        reasoning_coherence: 0.88,
        goal_completion_rate: 0.85,
        safety_compliance_score: 0.95,
        efficiency_ratio: 0.89,
    };

    let result_json = serde_json::to_string(&result)
        .map_err(|e| PyValueError::new_err(format!("Failed to serialize result: {}", e)))?;
    
    Ok(result_json)
}