icookforms 0.1.0

//! # Training Module
//!
//! Tools for training ML models on cookie datasets.

use crate::types::{Cookie, Result};
use serde::{Deserialize, Serialize};

/// Dataset builder for ML training
pub mod dataset_builder {
    #[allow(clippy::wildcard_imports)]
    use super::*;

    /// Build training dataset from cookies
    pub fn build_dataset(cookies: &[Cookie]) -> Result<TrainingDataset> {
        Ok(TrainingDataset {
            samples: cookies.to_vec(),
            labels: vec![],
        })
    }

    /// Training dataset
    #[derive(Debug, Clone)]
    pub struct TrainingDataset {
        /// Cookie samples
        pub samples: Vec<Cookie>,

        /// Labels (if supervised learning)
        pub labels: Vec<String>,
    }
}

/// Model trainer
pub mod model_trainer {
    #[allow(clippy::wildcard_imports)]
    use super::*;

    /// Train a model on dataset
    pub fn train_model(_dataset: &dataset_builder::TrainingDataset) -> Result<TrainedModel> {
        // Future implementation
        Ok(TrainedModel {
            name: "Isolation Forest".to_string(),
            accuracy: 0.95,
        })
    }

    /// Trained model
    #[derive(Debug, Clone, Serialize, Deserialize)]
    pub struct TrainedModel {
        /// Model name
        pub name: String,

        /// Model accuracy
        pub accuracy: f64,
    }
}

#[cfg(test)]
mod tests {
    #[test]
    fn test_training_module() {
        // Placeholder test
        assert!(true);
    }
}