rustorch 0.6.29

//! Python bindings for utilities
//! ユーティリティのPythonバインディング

use crate::python::error::to_py_err;
use crate::python::training::PyModel;
use pyo3::prelude::*;
use std::collections::HashMap;
use std::path::Path;

/// Python wrapper for model serialization
/// モデルシリアライゼーションのPythonラッパー
#[pyclass]
pub struct PyModelSerializer {}

#[pymethods]
impl PyModelSerializer {
    #[new]
    pub fn new() -> Self {
        PyModelSerializer {}
    }

    /// Save model to file
    /// モデルをファイルに保存
    #[staticmethod]
    pub fn save(model: &PyModel, path: &str) -> PyResult<()> {
        // Simplified save implementation
        println!("Saving model '{}' to: {}", model.name, path);

        // Create directory if it doesn't exist
        if let Some(parent) = Path::new(path).parent() {
            std::fs::create_dir_all(parent).map_err(|e| {
                pyo3::exceptions::PyIOError::new_err(format!("Failed to create directory: {}", e))
            })?;
        }

        // Save model metadata (simplified)
        let metadata = format!(
            "model_name: {}\nlayers: {:?}\ncompiled: {}",
            model.name, model.layers, model.compiled
        );

        std::fs::write(path, metadata).map_err(|e| {
            pyo3::exceptions::PyIOError::new_err(format!("Failed to save model: {}", e))
        })?;

        println!("Model saved successfully");
        Ok(())
    }

    /// Load model from file
    /// ファイルからモデルを読み込み
    #[staticmethod]
    pub fn load(path: &str) -> PyResult<PyModel> {
        // Simplified load implementation
        let content = std::fs::read_to_string(path).map_err(|e| {
            pyo3::exceptions::PyIOError::new_err(format!("Failed to load model: {}", e))
        })?;

        println!("Loading model from: {}", path);
        println!("Model content:\n{}", content);

        // Create a basic model (simplified)
        let model = PyModel::new(Some("LoadedModel".to_string()));

        Ok(model)
    }

    /// Get model info
    /// モデル情報を取得
    #[staticmethod]
    pub fn get_model_info(path: &str) -> PyResult<HashMap<String, String>> {
        let mut info = HashMap::new();

        if Path::new(path).exists() {
            let metadata = std::fs::metadata(path).map_err(|e| {
                pyo3::exceptions::PyIOError::new_err(format!("Failed to get file info: {}", e))
            })?;

            info.insert("path".to_string(), path.to_string());
            info.insert("size".to_string(), metadata.len().to_string());
            info.insert("exists".to_string(), "true".to_string());

            if let Ok(content) = std::fs::read_to_string(path) {
                info.insert(
                    "preview".to_string(),
                    content.lines().take(3).collect::<Vec<_>>().join(" | "),
                );
            }
        } else {
            info.insert("exists".to_string(), "false".to_string());
        }

        Ok(info)
    }

    /// Export model to different formats
    /// モデルを異なる形式にエクスポート
    #[staticmethod]
    pub fn export(model: &PyModel, path: &str, format: Option<String>) -> PyResult<()> {
        let format = format.unwrap_or_else(|| "rustorch".to_string());

        match format.as_str() {
            "rustorch" => {
                Self::save(model, path)?;
            }
            "onnx" => {
                println!("Exporting to ONNX format: {}", path);
                // ONNX export would be implemented here
                return Err(pyo3::exceptions::PyNotImplementedError::new_err(
                    "ONNX export not implemented",
                ));
            }
            "pytorch" => {
                println!("Exporting to PyTorch format: {}", path);
                // PyTorch export would be implemented here
                return Err(pyo3::exceptions::PyNotImplementedError::new_err(
                    "PyTorch export not implemented",
                ));
            }
            _ => {
                return Err(pyo3::exceptions::PyValueError::new_err(format!(
                    "Unsupported export format: {}",
                    format
                )));
            }
        }

        Ok(())
    }

    /// String representation
    /// 文字列表現
    pub fn __repr__(&self) -> String {
        "ModelSerializer()".to_string()
    }
}

/// Model comparison utilities
/// モデル比較ユーティリティ
#[pyclass]
pub struct PyModelComparator {}

#[pymethods]
impl PyModelComparator {
    #[new]
    pub fn new() -> Self {
        PyModelComparator {}
    }

    /// Compare two models
    /// 2つのモデルを比較
    #[staticmethod]
    pub fn compare(model1: &PyModel, model2: &PyModel) -> HashMap<String, String> {
        let mut comparison = HashMap::new();

        comparison.insert("model1_name".to_string(), model1.name.clone());
        comparison.insert("model2_name".to_string(), model2.name.clone());

        comparison.insert("model1_layers".to_string(), model1.layers.len().to_string());
        comparison.insert("model2_layers".to_string(), model2.layers.len().to_string());

        comparison.insert("model1_compiled".to_string(), model1.compiled.to_string());
        comparison.insert("model2_compiled".to_string(), model2.compiled.to_string());

        let layers_match = model1.layers == model2.layers;
        comparison.insert("layers_identical".to_string(), layers_match.to_string());

        let same_compilation = model1.compiled == model2.compiled;
        comparison.insert(
            "compilation_identical".to_string(),
            same_compilation.to_string(),
        );

        comparison
    }

    /// Get model statistics
    /// モデル統計を取得
    #[staticmethod]
    pub fn get_stats(model: &PyModel) -> HashMap<String, String> {
        let mut stats = HashMap::new();

        stats.insert("name".to_string(), model.name.clone());
        stats.insert("num_layers".to_string(), model.layers.len().to_string());
        stats.insert("compiled".to_string(), model.compiled.to_string());

        // Layer type distribution
        let mut layer_types = HashMap::new();
        for layer in &model.layers {
            let layer_type = if layer.contains("Dense") {
                "Dense"
            } else if layer.contains("Conv") {
                "Convolutional"
            } else if layer.contains("Dropout") {
                "Dropout"
            } else {
                "Other"
            };

            *layer_types.entry(layer_type.to_string()).or_insert(0) += 1;
        }

        for (layer_type, count) in layer_types {
            stats.insert(
                format!("{}_layers", layer_type.to_lowercase()),
                count.to_string(),
            );
        }

        stats
    }
}

/// Configuration management
/// 設定管理
#[pyclass]
pub struct PyConfig {
    pub(crate) settings: HashMap<String, String>,
}

#[pymethods]
impl PyConfig {
    #[new]
    pub fn new() -> Self {
        let mut settings = HashMap::new();

        // Default settings
        settings.insert("device".to_string(), "cpu".to_string());
        settings.insert("dtype".to_string(), "float32".to_string());
        settings.insert("backend".to_string(), "native".to_string());
        settings.insert("num_threads".to_string(), "4".to_string());
        settings.insert("memory_limit".to_string(), "1024".to_string());

        PyConfig { settings }
    }

    /// Get configuration value
    /// 設定値を取得
    pub fn get(&self, key: &str) -> Option<String> {
        self.settings.get(key).cloned()
    }

    /// Set configuration value
    /// 設定値を設定
    pub fn set(&mut self, key: String, value: String) {
        self.settings.insert(key, value);
    }

    /// Get all settings
    /// 全設定を取得
    pub fn all(&self) -> HashMap<String, String> {
        self.settings.clone()
    }

    /// Load configuration from file
    /// ファイルから設定を読み込み
    pub fn load_from_file(&mut self, path: &str) -> PyResult<()> {
        if !Path::new(path).exists() {
            return Err(pyo3::exceptions::PyFileNotFoundError::new_err(format!(
                "Configuration file not found: {}",
                path
            )));
        }

        let content = std::fs::read_to_string(path).map_err(|e| {
            pyo3::exceptions::PyIOError::new_err(format!("Failed to read config: {}", e))
        })?;

        // Simple key=value parsing
        for line in content.lines() {
            let line = line.trim();
            if line.is_empty() || line.starts_with('#') {
                continue;
            }

            if let Some((key, value)) = line.split_once('=') {
                self.settings
                    .insert(key.trim().to_string(), value.trim().to_string());
            }
        }

        Ok(())
    }

    /// Save configuration to file
    /// 設定をファイルに保存
    pub fn save_to_file(&self, path: &str) -> PyResult<()> {
        let mut content = String::new();
        content.push_str("# RusTorch Configuration\n");
        content.push_str("# Auto-generated configuration file\n\n");

        for (key, value) in &self.settings {
            content.push_str(&format!("{}={}\n", key, value));
        }

        std::fs::write(path, content).map_err(|e| {
            pyo3::exceptions::PyIOError::new_err(format!("Failed to save config: {}", e))
        })?;

        Ok(())
    }

    /// Reset to default configuration
    /// デフォルト設定にリセット
    pub fn reset(&mut self) {
        self.settings.clear();
        *self = Self::new();
    }

    /// String representation
    /// 文字列表現
    pub fn __repr__(&self) -> String {
        format!("Config(settings={})", self.settings.len())
    }
}

/// Performance profiler utilities
/// パフォーマンスプロファイラーユーティリティ
#[pyclass]
pub struct PyProfiler {
    pub(crate) enabled: bool,
    pub(crate) timings: HashMap<String, Vec<f64>>,
}

#[pymethods]
impl PyProfiler {
    #[new]
    pub fn new() -> Self {
        PyProfiler {
            enabled: false,
            timings: HashMap::new(),
        }
    }

    /// Enable profiling
    /// プロファイリングを有効化
    pub fn enable(&mut self) {
        self.enabled = true;
        self.timings.clear();
    }

    /// Disable profiling
    /// プロファイリングを無効化
    pub fn disable(&mut self) {
        self.enabled = false;
    }

    /// Record timing
    /// タイミングを記録
    pub fn record(&mut self, name: String, duration: f64) {
        if self.enabled {
            self.timings.entry(name).or_default().push(duration);
        }
    }

    /// Get timing statistics
    /// タイミング統計を取得
    pub fn get_stats(&self) -> HashMap<String, HashMap<String, f64>> {
        let mut stats = HashMap::new();

        for (name, times) in &self.timings {
            let mut operation_stats = HashMap::new();

            if !times.is_empty() {
                let sum: f64 = times.iter().sum();
                let count = times.len() as f64;
                let mean = sum / count;

                let min = times.iter().copied().fold(f64::INFINITY, f64::min);
                let max = times.iter().copied().fold(f64::NEG_INFINITY, f64::max);

                operation_stats.insert("count".to_string(), count);
                operation_stats.insert("total".to_string(), sum);
                operation_stats.insert("mean".to_string(), mean);
                operation_stats.insert("min".to_string(), min);
                operation_stats.insert("max".to_string(), max);
            }

            stats.insert(name.clone(), operation_stats);
        }

        stats
    }

    /// Clear all timings
    /// 全タイミングをクリア
    pub fn clear(&mut self) {
        self.timings.clear();
    }

    /// String representation
    /// 文字列表現
    pub fn __repr__(&self) -> String {
        format!(
            "Profiler(enabled={}, operations={})",
            self.enabled,
            self.timings.len()
        )
    }
}

// Utility functions
// ユーティリティ関数

/// Get system information
/// システム情報を取得
#[pyfunction]
pub fn get_system_info() -> HashMap<String, String> {
    let mut info = HashMap::new();

    info.insert(
        "rust_version".to_string(),
        env!("CARGO_PKG_VERSION").to_string(),
    );
    info.insert(
        "rustorch_version".to_string(),
        env!("CARGO_PKG_VERSION").to_string(),
    );
    info.insert("target_os".to_string(), std::env::consts::OS.to_string());
    info.insert(
        "target_arch".to_string(),
        std::env::consts::ARCH.to_string(),
    );

    // CPU information
    let num_cpus = num_cpus::get();
    info.insert("cpu_count".to_string(), num_cpus.to_string());

    // Memory information (simplified)
    info.insert("available_memory".to_string(), "unknown".to_string());

    info
}

/// Set random seed for reproducibility
/// 再現性のためのランダムシードを設定
#[pyfunction]
pub fn set_seed(seed: u64) {
    // Set random seed for reproducible results
    // Implementation would depend on the random number generator used
    println!("Setting random seed: {}", seed);
}

/// Check if CUDA is available
/// CUDAが利用可能かチェック
#[pyfunction]
pub fn cuda_is_available() -> bool {
    // Check if CUDA is available on the system
    false // Simplified implementation
}

/// Check if Metal is available (Apple Silicon)
/// Metalが利用可能かチェック（Apple Silicon）
#[pyfunction]
pub fn metal_is_available() -> bool {
    // Check if Metal is available (Apple Silicon)
    cfg!(target_os = "macos") && std::env::consts::ARCH == "aarch64"
}