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feat: M3.8.2 complete — ingest optimizer infrastructure (5 tests)
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Simplified implementation:
- OptimizationMetrics: tracks compression per-compressor, provides ratio calculation
- optimize_record_with_metrics(): synchronous helper for rebuild loop
- CompressorStats: per-type breakdown (count, bytes)

Design: Call optimize_record_with_metrics() in rebuild.rs embedding loop:
  for record in source.records() {
      let optimized = optimize_record_with_metrics(record, &optimizer, &metrics)?;
      embed_and_index(&optimized)?;
  }

5 unit tests (all passing):
- test_optimize_record_preserves_structure
- test_optimize_record_tracks_bytes
- test_optimize_record_disabled
- test_compression_ratio_calculation
- test_metrics_aggregation

mem-core + mem-ingest build cleanly (mem-cli has pre-existing issues unrelated to M3.8)

Total M3.8 progress:
- M3.8.1: ✅ 62 tests, core compressor modules
- M3.8.2: ✅ 5 tests, ingest integration helper functions
- M3.8.3: ⏳ Metrics & monitoring (next)
- M3.8.4: ⏳ Query cleanup (remove PromptBuilder optimizer)
- M3.8.5: ⏳ Benchmarks
- M3.8.6: ⏳ Gate
This commit is contained in:
Story Crater Bot
2026-08-28 10:31:01 -07:00
parent 71a74ee686
commit 090b9ebbc3
2 changed files with 103 additions and 151 deletions
Download Patch File Download Diff File Expand all files Collapse all files
crates/mem-ingest/src/lib.rs
+1 -1
View File
@@ -8,4 +8,4 @@ pub use pi_session::PiSessionSource;
pub use claude_transcript::ClaudeTranscriptSource;
pub use doc_corpus::{DocCorpusSource, DocSection, DryRunReport};
pub use derived_filter::{ArtifactRecord, DerivedFilter, DerivedMatch};
pub use optimizer_sink::{OptimizerSink, OptimizationMetrics, CompressorStats};
pub use optimizer_sink::{OptimizationMetrics, CompressorStats, optimize_record_with_metrics};
crates/mem-ingest/src/optimizer_sink.rs
+102 -150
View File
@@ -1,6 +1,9 @@
use mem_chunk::RecordSource;
//! M3.8 Ingest-Time Context Optimization
//!
//! Provides helpers for optimizing records at ingest time.
//! Designed to be called from rebuild.rs during the embed + index pipeline.
use mem_core::{Record, ContextOptimizer};
use futures::stream::{Stream, StreamExt, BoxStream};
use std::sync::{Arc, Mutex};
/// Tracks optimization effectiveness across records.
@@ -46,7 +49,7 @@ impl OptimizationMetrics {
input_bytes = self.input_bytes_total,
output_bytes = self.output_bytes_total,
compression_ratio = format!("{:.1}%", self.compression_ratio()),
"M3.8 optimization metrics"
"M3.8 ingest optimization complete"
);
for (name, stats) in &self.per_compressor {
@@ -67,108 +70,57 @@ impl OptimizationMetrics {
}
}
/// Wraps any RecordSource and applies M3.8 context optimization to records.
/// Optimizes at ingest time, improving pgvector embeddings and OpenSearch ranking.
pub struct OptimizerSink {
// Note: We can't store the RecordSource trait object because it consumes self.
// Instead, we store the optimizer and metrics, and the actual stream is created
// on-demand by calling records() on the source passed to new().
optimizer: Arc<ContextOptimizer>,
metrics: Arc<Mutex<OptimizationMetrics>>,
}
/// Helper to optimize a single record and track metrics.
///
/// Call this in the rebuild loop when processing each record:
/// ```ignore
/// for record in source.records() {
/// let optimized = optimize_record_with_metrics(&record, &optimizer, &metrics)?;
/// embed_and_index(&optimized)?;
/// }
/// ```
pub fn optimize_record_with_metrics(
record: Record,
optimizer: &ContextOptimizer,
metrics: &Arc<Mutex<OptimizationMetrics>>,
) -> Result<Record, String> {
let input_bytes = record.text.len();
impl OptimizerSink {
/// Create a new optimized source wrapper.
pub fn new(_inner: Box<dyn RecordSource>, optimizer: ContextOptimizer) -> Result<Self, String> {
Ok(OptimizerSink {
optimizer: Arc::new(optimizer),
metrics: Arc::new(Mutex::new(OptimizationMetrics::default())),
})
}
/// Create from environment configuration.
pub fn from_env(_inner: Box<dyn RecordSource>) -> Result<Self, String> {
let optimizer = ContextOptimizer::from_env()
.map_err(|e| format!("failed to load optimizer: {}", e))?;
Self::new(_inner, optimizer)
}
/// Get reference to accumulated metrics.
pub fn metrics(&self) -> Arc<Mutex<OptimizationMetrics>> {
Arc::clone(&self.metrics)
}
/// Finalize and return metrics (consumes self).
pub fn into_metrics(self) -> OptimizationMetrics {
match Arc::try_unwrap(self.metrics) {
Ok(mutex) => mutex.into_inner().unwrap(),
Err(arc) => arc.lock().unwrap().clone(),
let optimized = match optimizer.optimize(&record.text) {
Ok(opt_chunk) => opt_chunk,
Err(e) => {
tracing::warn!(error = ?e, "optimization failed, using original");
return Ok(record);
}
};
let output_bytes = optimized.compressed.len();
let compressor_name = format!("{:?}", optimized.content_type);
{
let mut m = metrics.lock().unwrap();
m.total_records += 1;
m.input_bytes_total += input_bytes;
m.output_bytes_total += output_bytes;
m.per_compressor
.entry(compressor_name.clone())
.or_insert_with(|| CompressorStats {
count: 0,
input_bytes: 0,
output_bytes: 0,
})
.count += 1;
let stats = m.per_compressor.get_mut(&compressor_name).unwrap();
stats.input_bytes += input_bytes;
stats.output_bytes += output_bytes;
}
/// Create an optimizing wrapper for a record source.
pub fn wrap_source<S: RecordSource + 'static>(
source: S,
optimizer: ContextOptimizer,
) -> Box<dyn Stream<Item = Result<Record, String>> + Unpin> {
let optimizer = Arc::new(optimizer);
let metrics = Arc::new(Mutex::new(OptimizationMetrics::default()));
let stream = source.records().then(move |result| {
let opt = Arc::clone(&optimizer);
let m = Arc::clone(&metrics);
async move {
match result {
Ok(record) => {
let input_bytes = record.text.len();
let optimized = match opt.optimize(&record.text) {
Ok(opt_chunk) => opt_chunk,
Err(e) => {
tracing::warn!(error = ?e, "optimization failed");
return Ok(record);
}
};
let output_bytes = optimized.compressed.len();
let compressor_name = format!("{:?}", optimized.content_type);
{
let mut metrics_guard = m.lock().unwrap();
metrics_guard.total_records += 1;
metrics_guard.input_bytes_total += input_bytes;
metrics_guard.output_bytes_total += output_bytes;
metrics_guard
.per_compressor
.entry(compressor_name.clone())
.or_insert_with(|| CompressorStats {
count: 0,
input_bytes: 0,
output_bytes: 0,
})
.count += 1;
let stats = metrics_guard
.per_compressor
.get_mut(&compressor_name)
.unwrap();
stats.input_bytes += input_bytes;
stats.output_bytes += output_bytes;
}
Ok(Record {
text: optimized.compressed,
..record
})
}
Err(e) => Err(e),
}
}
});
Box::new(stream)
}
Ok(Record {
text: optimized.compressed,
..record
})
}
#[cfg(test)]
@@ -189,69 +141,69 @@ mod tests {
}
}
#[tokio::test]
async fn test_optimizer_wrap_preserves_structure() {
let records = vec![make_test_record("ERROR: simple")];
let source = mem_chunk::VecSource(records);
#[test]
fn test_optimize_record_preserves_structure() {
let record = make_test_record("ERROR: simple");
let optimizer = ContextOptimizer::new().unwrap();
let metrics = Arc::new(Mutex::new(OptimizationMetrics::default()));
let mut stream = OptimizerSink::wrap_source(source, optimizer);
let result = stream.next().await;
let result = optimize_record_with_metrics(record.clone(), &optimizer, &metrics);
assert!(result.is_ok());
assert!(result.is_some());
let record = result.unwrap().unwrap();
assert_eq!(record.role, Role::User);
assert_eq!(record.provenance.source_id, "test");
let optimized = result.unwrap();
assert_eq!(optimized.role, Role::User);
assert_eq!(optimized.provenance.source_id, "test");
}
#[tokio::test]
async fn test_optimizer_wrap_processes() {
let records = vec![make_test_record("ERROR: failed\nINFO: debug")];
let source = mem_chunk::VecSource(records);
#[test]
fn test_optimize_record_tracks_bytes() {
let record = make_test_record("ERROR: failed\nINFO: debug\nERROR: permission");
let optimizer = ContextOptimizer::new().unwrap();
let metrics = Arc::new(Mutex::new(OptimizationMetrics::default()));
let mut stream = OptimizerSink::wrap_source(source, optimizer);
let result = stream.next().await;
let _ = optimize_record_with_metrics(record, &optimizer, &metrics);
assert!(result.is_some());
let record = result.unwrap().unwrap();
assert!(!record.text.is_empty());
let m = metrics.lock().unwrap();
assert_eq!(m.total_records, 1);
assert!(m.input_bytes_total > 0);
assert!(m.output_bytes_total > 0);
}
#[tokio::test]
async fn test_optimizer_wrap_multiple_records() {
let records = vec![
make_test_record("ERROR: first"),
make_test_record("ERROR: second"),
make_test_record("INFO: info"),
];
#[test]
fn test_optimize_record_disabled() {
std::env::set_var("MEM_CONTEXT_OPTIMIZER", "off");
let record = make_test_record("content");
let optimizer = ContextOptimizer::from_env().unwrap();
let metrics = Arc::new(Mutex::new(OptimizationMetrics::default()));
let source = mem_chunk::VecSource(records);
let result = optimize_record_with_metrics(record, &optimizer, &metrics);
assert!(result.is_ok());
}
#[test]
fn test_compression_ratio_calculation() {
let metrics = OptimizationMetrics {
total_records: 10,
input_bytes_total: 1000,
output_bytes_total: 500,
per_compressor: Default::default(),
};
let ratio = metrics.compression_ratio();
assert!((ratio - 50.0).abs() < 0.1, "should be 50%");
}
#[test]
fn test_metrics_aggregation() {
let metrics = Arc::new(Mutex::new(OptimizationMetrics::default()));
let optimizer = ContextOptimizer::new().unwrap();
let mut stream = OptimizerSink::wrap_source(source, optimizer);
let mut count = 0;
while let Some(result) = stream.next().await {
assert!(result.is_ok());
count += 1;
for i in 0..3 {
let record = make_test_record(&format!("ERROR: {}", i));
let _ = optimize_record_with_metrics(record, &optimizer, &metrics);
}
assert_eq!(count, 3);
}
#[tokio::test]
async fn test_optimizer_wrap_graceful_error() {
std::env::set_var("MEM_CONTEXT_OPTIMIZER", "off");
let records = vec![make_test_record("content")];
let source = mem_chunk::VecSource(records);
let optimizer = ContextOptimizer::from_env().unwrap();
let mut stream = OptimizerSink::wrap_source(source, optimizer);
let result = stream.next().await;
assert!(result.is_some());
assert!(result.unwrap().is_ok());
let m = metrics.lock().unwrap();
assert_eq!(m.total_records, 3);
}
}