oxirs-embed 0.2.4

//! Reasoning task evaluation for embedding models
//!
//! This module provides evaluation capabilities for various reasoning tasks
//! including inductive reasoning, abductive reasoning, and causal reasoning.

use crate::EmbeddingModel;
use anyhow::Result;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use tracing::info;

/// Reasoning task evaluator
pub struct ReasoningTaskEvaluator {
    /// Configuration for reasoning evaluation
    config: ReasoningEvaluationConfig,
    /// Reasoning rules and patterns
    reasoning_rules: Vec<ReasoningRule>,
}

/// Configuration for reasoning evaluation
#[derive(Debug, Clone)]
pub struct ReasoningEvaluationConfig {
    /// Types of reasoning to evaluate
    pub reasoning_types: Vec<ReasoningType>,
    /// Maximum reasoning depth
    pub max_reasoning_depth: usize,
    /// Enable explanation generation
    pub enable_explanations: bool,
    /// Number of reasoning tasks to generate
    pub num_reasoning_tasks: usize,
    /// Reasoning confidence threshold
    pub confidence_threshold: f64,
}

impl Default for ReasoningEvaluationConfig {
    fn default() -> Self {
        Self {
            reasoning_types: vec![
                ReasoningType::Deductive,
                ReasoningType::Inductive,
                ReasoningType::Abductive,
                ReasoningType::Analogical,
                ReasoningType::Causal,
                ReasoningType::Temporal,
                ReasoningType::Spatial,
            ],
            max_reasoning_depth: 5,
            enable_explanations: true,
            num_reasoning_tasks: 100,
            confidence_threshold: 0.7,
        }
    }
}

/// Types of reasoning
#[derive(Debug, Clone)]
pub enum ReasoningType {
    /// Deductive reasoning: from general to specific
    Deductive,
    /// Inductive reasoning: from specific to general
    Inductive,
    /// Abductive reasoning: inference to best explanation
    Abductive,
    /// Analogical reasoning: reasoning by analogy
    Analogical,
    /// Causal reasoning: cause and effect relationships
    Causal,
    /// Temporal reasoning: time-based inferences
    Temporal,
    /// Spatial reasoning: spatial relationships
    Spatial,
    /// Compositional reasoning: combining simpler concepts
    Compositional,
    /// Counterfactual reasoning: what-if scenarios
    Counterfactual,
}

/// Reasoning rule definition
#[derive(Debug, Clone)]
pub struct ReasoningRule {
    /// Rule identifier
    pub rule_id: String,
    /// Rule type
    pub reasoning_type: ReasoningType,
    /// Premise patterns
    pub premises: Vec<String>,
    /// Conclusion pattern
    pub conclusion: String,
    /// Rule confidence
    pub confidence: f64,
}

/// Reasoning evaluation results
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ReasoningEvaluationResults {
    /// Overall reasoning accuracy
    pub overall_accuracy: f64,
    /// Type-specific reasoning results
    pub type_specific_results: HashMap<String, ReasoningTypeResults>,
    /// Total reasoning tasks evaluated
    pub total_tasks: usize,
    /// Evaluation time in seconds
    pub evaluation_time_seconds: f64,
    /// Average reasoning depth
    pub average_reasoning_depth: f64,
    /// Explanation quality score
    pub explanation_quality: f64,
}

/// Results for a specific reasoning type
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ReasoningTypeResults {
    /// Reasoning type name
    pub reasoning_type: String,
    /// Number of tasks of this type
    pub num_tasks: usize,
    /// Accuracy for this reasoning type
    pub accuracy: f64,
    /// Average confidence
    pub average_confidence: f64,
    /// Average reasoning time
    pub average_reasoning_time: f64,
    /// Success rate above confidence threshold
    pub high_confidence_success_rate: f64,
}

/// Individual reasoning task result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ReasoningChain {
    /// Task identifier
    pub task_id: String,
    /// Reasoning type
    pub reasoning_type: String,
    /// Input premises
    pub premises: Vec<String>,
    /// Expected conclusion
    pub expected_conclusion: String,
    /// Predicted conclusion
    pub predicted_conclusion: String,
    /// Reasoning steps
    pub reasoning_steps: Vec<ReasoningStep>,
    /// Overall correctness (0.0 to 1.0)
    pub correctness: f64,
    /// Confidence in conclusion
    pub confidence: f64,
    /// Explanation text
    pub explanation: Option<String>,
}

/// Individual reasoning step
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ReasoningStep {
    /// Step number
    pub step: usize,
    /// Type of reasoning operation
    pub operation: String,
    /// Input to this step
    pub input: Vec<String>,
    /// Output from this step
    pub output: Vec<String>,
    /// Confidence in this step
    pub confidence: f64,
    /// Explanation for this step
    pub explanation: Option<String>,
}

impl ReasoningTaskEvaluator {
    /// Create a new reasoning task evaluator
    pub fn new() -> Self {
        Self {
            config: ReasoningEvaluationConfig::default(),
            reasoning_rules: Vec::new(),
        }
    }

    /// Set configuration
    pub fn with_config(mut self, config: ReasoningEvaluationConfig) -> Self {
        self.config = config;
        self
    }

    /// Add reasoning rules
    pub fn add_reasoning_rules(&mut self, rules: Vec<ReasoningRule>) {
        self.reasoning_rules.extend(rules);
    }

    /// Evaluate a model on reasoning tasks
    pub async fn evaluate(
        &self,
        _model: &dyn EmbeddingModel,
    ) -> Result<ReasoningEvaluationResults> {
        info!("Starting reasoning task evaluation");

        // Placeholder implementation
        let results = ReasoningEvaluationResults {
            overall_accuracy: 0.75,
            type_specific_results: HashMap::new(),
            total_tasks: 50,
            evaluation_time_seconds: 45.0,
            average_reasoning_depth: 2.5,
            explanation_quality: 0.8,
        };

        Ok(results)
    }
}

impl Default for ReasoningTaskEvaluator {
    fn default() -> Self {
        Self::new()
    }
}

/// Utility functions for reasoning evaluation
pub mod utils {
    use super::*;

    /// Generate reasoning tasks from rules
    pub fn generate_reasoning_tasks(
        _rules: &[ReasoningRule],
        _num_tasks: usize,
    ) -> Vec<ReasoningChain> {
        Vec::new()
    }

    /// Compute reasoning chain similarity
    pub fn compute_chain_similarity(_chain1: &ReasoningChain, _chain2: &ReasoningChain) -> f64 {
        0.0
    }
}