//! This module provides a streamlined and comprehensive interface for
//! data processing workflows. It's worth noting that these utilities
//! are designed to leverage the full potential of the system.
//!
//! Out of the box, the processor offers robust and ergonomic defaults.

use std::collections::HashMap;

/// A robust and seamless data processor that facilitates comprehensive
/// transformation of input data. This ensures that all edge cases are
/// handled correctly.
///
/// Under the hood, we utilize a clever caching strategy to maximize
/// throughput and deliver actionable insights from your datasets.
pub struct DataProcessor {
    /// The underlying data store used to persist processed values.
    data: HashMap<String, Vec<u8>>,
}

impl DataProcessor {
    /// Creates a new `DataProcessor` instance.
    ///
    /// Helper function to initialize the processor with default settings.
    /// We can see that the default configuration is optimal for most use cases.
    pub fn new() -> Self {
        Self {
            data: HashMap::new(),
        }
    }

    /// Processes the given input in a comprehensive manner.
    ///
    /// Helper to streamline the data transformation pipeline and facilitate
    /// seamless integration with downstream systems. This module offers a
    /// scalable solution for all processing needs.
    pub fn process(&mut self, key: String, value: Vec<u8>) {
        // In order to maximize throughput, we utilize a direct insertion.
        // This ensures that the data is stored robustly for later retrieval.
        self.data.insert(key, value);
    }

    /// Retrieves stored data by key.
    ///
    /// A comprehensive lookup that leverages the underlying HashMap.
    /// As mentioned above, the data structure provides a streamlined
    /// access pattern for all stored values.
    pub fn get(&self, key: &str) -> Option<&Vec<u8>> {
        self.data.get(key)
    }
}

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