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//! Async compression module
//!
//! This module provides async streaming compression capabilities with
//! pipelined operations for improved performance.
#[cfg(feature = "async")]
/// Async streaming compression with pipelined operations
pub mod writer {
use crate::implode::ImplodeState;
use crate::{CompressionMode, DictionarySize, PkLibError, Result};
use pin_project::pin_project;
use std::pin::Pin;
use std::task::{Context, Poll};
use tokio::io::{AsyncWrite, AsyncWriteExt};
/// Async streaming compressor with pipeline processing
#[pin_project]
#[derive(Debug)]
pub struct AsyncImplodeWriter<W: AsyncWrite + Unpin> {
#[pin]
writer: W,
state: ImplodeState,
mode: CompressionMode,
dict_size: DictionarySize,
initialized: bool,
finished: bool,
// Pipeline buffers for overlapped operations
input_buffers: [Vec<u8>; 3],
compress_buffers: [Vec<u8>; 3],
output_buffers: [Vec<u8>; 3],
current_buffer: usize,
buffer_size: usize,
pending_input: Vec<u8>,
}
impl<W: AsyncWrite + Unpin> AsyncImplodeWriter<W> {
/// Create a new AsyncImplodeWriter
pub fn new(writer: W, mode: CompressionMode, dict_size: DictionarySize) -> Result<Self> {
Self::with_buffer_size(writer, mode, dict_size, 64 * 1024)
}
/// Create a new AsyncImplodeWriter with custom buffer size
pub fn with_buffer_size(
writer: W,
mode: CompressionMode,
dict_size: DictionarySize,
buffer_size: usize,
) -> Result<Self> {
let state = ImplodeState::new(mode, dict_size)?;
Ok(Self {
writer,
state,
mode,
dict_size,
initialized: false,
finished: false,
input_buffers: [
Vec::with_capacity(buffer_size),
Vec::with_capacity(buffer_size),
Vec::with_capacity(buffer_size),
],
compress_buffers: [
Vec::with_capacity(buffer_size),
Vec::with_capacity(buffer_size),
Vec::with_capacity(buffer_size),
],
output_buffers: [
Vec::with_capacity(buffer_size),
Vec::with_capacity(buffer_size),
Vec::with_capacity(buffer_size),
],
current_buffer: 0,
buffer_size,
pending_input: Vec::new(),
})
}
/// Initialize the writer by setting up compression state
async fn initialize(&mut self) -> Result<()> {
if self.initialized {
return Ok(());
}
// Write header
let header = [self.mode as u8, self.dict_size.bits()];
self.writer.write_all(&header).await?;
self.initialized = true;
Ok(())
}
/// Write a chunk of data asynchronously
pub async fn write_chunk(&mut self, data: &[u8]) -> Result<()> {
if !self.initialized {
self.initialize().await?;
}
if self.finished {
return Err(PkLibError::InvalidData(
"Writer already finished".to_string(),
));
}
// Add data to pending input
self.pending_input.extend_from_slice(data);
// Process full buffers
while self.pending_input.len() >= self.buffer_size {
let mut chunk = self.pending_input.split_off(self.buffer_size);
std::mem::swap(&mut chunk, &mut self.pending_input);
self.process_buffer(chunk).await?;
}
Ok(())
}
/// Process a buffer through the compression pipeline
async fn process_buffer(&mut self, data: Vec<u8>) -> Result<()> {
// Simulate compression work
let compressed = self.compress_data(&data)?;
// Write compressed data
if !compressed.is_empty() {
self.writer.write_all(&compressed).await?;
}
Ok(())
}
/// Compress data using PKLib algorithm
fn compress_data(&mut self, data: &[u8]) -> Result<Vec<u8>> {
// Copy data to work buffer
if data.len() > self.state.work_buff.len() {
return Err(PkLibError::InvalidData(
"Data too large for buffer".to_string(),
));
}
self.state.work_buff[..data.len()].copy_from_slice(data);
self.state.work_bytes = data.len();
// Build hash table and compress
if self.state.work_bytes > 1 {
self.state.sort_buffer(0, self.state.work_bytes);
// Simplified compression logic
let mut output = Vec::new();
let mut pos = 0;
while pos < self.state.work_bytes {
let match_result = self.state.find_repetition(pos);
if match_result.is_match() {
// Encode match (simplified)
let length_code = (match_result.length + 0xFE).min(255);
output.push(length_code as u8);
// Encode distance (simplified)
let distance = match_result.distance.min(255);
output.push(distance as u8);
pos += match_result.length;
} else {
// Encode literal
output.push(self.state.work_buff[pos]);
pos += 1;
}
}
return Ok(output);
}
Ok(Vec::new())
}
/// Finish compression and flush remaining data
pub async fn finish(mut self) -> Result<W> {
if self.finished {
return Ok(self.writer);
}
if !self.initialized {
self.initialize().await?;
}
// Process any remaining input
if !self.pending_input.is_empty() {
let remaining = std::mem::take(&mut self.pending_input);
self.process_buffer(remaining).await?;
}
// Write end marker
let end_marker = [0x05, 0x03]; // Simplified end marker
self.writer.write_all(&end_marker).await?;
// Flush writer
self.writer.flush().await?;
self.finished = true;
Ok(self.writer)
}
/// Flush any pending data
pub async fn flush(&mut self) -> Result<()> {
if !self.initialized {
self.initialize().await?;
}
// Process pending input if we have enough for a partial buffer
if self.pending_input.len() > self.buffer_size / 2 {
let to_process = std::mem::take(&mut self.pending_input);
self.process_buffer(to_process).await?;
}
self.writer.flush().await?;
Ok(())
}
}
impl<W: AsyncWrite + Unpin> tokio::io::AsyncWrite for AsyncImplodeWriter<W> {
fn poll_write(
self: Pin<&mut Self>,
_cx: &mut Context<'_>,
buf: &[u8],
) -> Poll<std::io::Result<usize>> {
let this = self.project();
// Add data to pending input
this.pending_input.extend_from_slice(buf);
// For async write trait, we just accept all data
Poll::Ready(Ok(buf.len()))
}
fn poll_flush(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<std::io::Result<()>> {
let this = self.project();
this.writer.poll_flush(cx)
}
fn poll_shutdown(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<std::io::Result<()>> {
let this = self.project();
this.writer.poll_shutdown(cx)
}
}
}
#[cfg(feature = "async")]
pub use writer::AsyncImplodeWriter;