//! Tetnus ML workflow step executors
//!
//! Placeholder executors for tetnus ML workflow steps.
//! Full implementation deferred to Phase 7b.

/// Execute a tetnus training step
///
/// # Stub Implementation
/// This is a placeholder that demonstrates the intended API.
/// Full implementation would:
/// - Parse model configuration from YAML
/// - Initialize tetnus model (TabularTransformer, GNN, or LLM)
/// - Train on provided data
/// - Save trained model
pub async fn execute_tetnus_train(_config: &serde_json::Value) {
    // TODO: Implement training logic
    // Would call tetnus-nn, tetnus-graph, or tetnus-llm based on model_type
}

/// Execute a tetnus edge compilation step
///
/// # Stub Implementation
/// This is a placeholder that demonstrates the intended API.
/// Full implementation would:
/// - Load trained model
/// - Apply quantization (PTQ)
/// - Export to ONNX
/// - Compile to TFLite for Edge TPU
pub async fn execute_tetnus_compile(_config: &serde_json::Value) {
    // TODO: Implement compilation logic
    // Would call tetnus-coral-driver and quantization
}

/// Execute inference with a tetnus model
///
/// # Stub Implementation
/// This is a placeholder that demonstrates the intended API.
/// Full implementation would:
/// - Load model (local or edge)
/// - Run inference on input data
/// - Return predictions
pub async fn execute_tetnus_infer(_config: &serde_json::Value) {
    // TODO: Implement inference logic
}

/// Extract attention maps from a trained model
///
/// # Stub Implementation
/// This is a placeholder that demonstrates the intended API.
/// Full implementation would:
/// - Load trained transformer model
/// - Extract attention weights
/// - Generate interpretability reports
pub async fn execute_tetnus_attention(_config: &serde_json::Value) {
    // TODO: Implement attention extraction logic
}
