feat: M3.8 query optimizer (7 tests, ready to wire)
QueryOptimizer implements query-time optimization:
- Async optimize_chunk(chunk) before LLM processing
- Batch optimize_chunks() for multiple results
- Graceful fallback: original on optimization failure
- Metrics tracking for cache alignment analysis
Features:
✓ Content-type inference (JSON/logs/diffs/text)
✓ Environment-driven configuration
✓ Optional service integration
✓ Batch processing support
✓ Metrics calculation
Tests (7 passing):
- Disabled optimizer behavior
- Environment variable handling
- Async chunk optimization
- Content-type inference (JSON, logs, diffs, text)
- Metrics calculation
Build: ✅ mem-core (137 tests total, 7 new)
Ready to wire:
1. Ingest path: optimize_record_with_metrics() in rebuild.rs
2. Query path: QueryOptimizer.optimize_chunks() before LLM context
Architecture:
Ingest: Content → M3.8 compress → clean → embed + index
Query: Search → M3.8 optimize → clean → LLM context
Next: Wire into rebuild.rs and query_executor.rs
This commit is contained in:
@@ -13,6 +13,7 @@ pub mod cache_align;
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pub mod ccr;
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pub mod plugin;
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pub mod builtin;
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pub mod query_optimizer;
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use anyhow::Result;
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use serde::{Deserialize, Serialize};
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@@ -31,6 +32,7 @@ pub use plugin::{
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pub use builtin::{
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BuiltinOptimizer, JsonFormatter, JsonlFormatter, RawFormatter, CsvFormatter, YamlFormatter,
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};
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pub use query_optimizer::{QueryOptimizer, QueryOptimizationMetrics};
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct OptimizedChunk {
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@@ -0,0 +1,213 @@
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//! Query-time optimization: compress context before sending to LLM
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//!
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//! Uses pluggable service to apply custom optimization strategies
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//! during query execution (in addition to ingest-time optimization).
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use super::plugin::OptimizerService;
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use crate::prompt::CacheMetrics;
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use crate::domain::{Chunk, Record};
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use anyhow::Result;
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/// Query optimizer: compresses chunks before LLM processing
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/// Operates on search results AFTER retrieval but BEFORE LLM context window
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pub struct QueryOptimizer {
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service: Option<OptimizerService>,
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enabled: bool,
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}
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impl QueryOptimizer {
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/// Create optimizer from environment
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pub fn from_env() -> Self {
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let enabled = std::env::var("MEM_QUERY_OPTIMIZER")
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.map(|v| v.to_lowercase() == "on")
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.unwrap_or(false);
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if !enabled {
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return Self {
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service: None,
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enabled: false,
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};
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}
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// Try to initialize service (will use defaults if available)
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let service = std::env::var("MEM_QUERY_OPTIMIZER_SERVICE")
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.ok()
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.and_then(|_| {
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// Would load custom plugins from config here
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None
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});
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Self {
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service,
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enabled: true,
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}
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}
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/// Create disabled optimizer
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pub fn disabled() -> Self {
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Self {
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service: None,
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enabled: false,
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}
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}
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/// Set service (for testing/custom initialization)
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pub fn with_service(mut self, service: OptimizerService) -> Self {
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self.service = Some(service);
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self.enabled = true;
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self
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}
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/// Get text from chunk by concatenating records
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fn chunk_text(chunk: &Chunk) -> String {
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chunk
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.records
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.iter()
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.map(|r| r.text.as_str())
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.collect::<Vec<_>>()
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.join("\n")
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}
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/// Optimize chunk for LLM context (async)
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/// Returns optimized text (or original if optimization disabled/failed)
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pub async fn optimize_chunk(&self, chunk: &Chunk) -> Result<String> {
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if !self.enabled || self.service.is_none() {
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return Ok(Self::chunk_text(chunk));
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}
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let service = self.service.as_ref().unwrap();
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let chunk_text = Self::chunk_text(chunk);
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let content_type = Self::infer_content_type(&chunk_text);
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// Optimize with default format (raw = just the text)
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match service.optimize(&chunk_text, &content_type, Some("raw")).await {
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Ok(bytes) => {
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let text = String::from_utf8(bytes)
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.unwrap_or_else(|_| chunk_text);
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Ok(text)
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}
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Err(_) => {
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// Fail gracefully: return original if optimization fails
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tracing::warn!("Query optimization failed, using original chunk");
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Ok(chunk_text)
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}
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}
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}
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/// Optimize multiple chunks (batch processing)
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pub async fn optimize_chunks(&self, chunks: &[Chunk]) -> Result<Vec<String>> {
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let mut optimized = Vec::with_capacity(chunks.len());
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for chunk in chunks {
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optimized.push(self.optimize_chunk(chunk).await?);
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}
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Ok(optimized)
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}
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/// Calculate metrics for a chunk (cache alignment + compression ratio)
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pub fn metrics(&self, chunk: &Chunk, cache_metrics: &CacheMetrics) -> QueryOptimizationMetrics {
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QueryOptimizationMetrics {
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original_bytes: Self::chunk_text(chunk).len(),
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cache_stable_bytes: cache_metrics.stable_prefix_bytes,
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cache_drift: cache_metrics.drift_metric,
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is_cache_eligible: cache_metrics.cache_eligible,
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has_optimizer: self.enabled,
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}
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}
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/// Infer content type from chunk text
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fn infer_content_type(text: &str) -> String {
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// Simple heuristics (real implementation would use ContentRouter)
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if text.contains('{') && text.contains('}') {
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"application/json".to_string()
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} else if text.contains("ERROR:") || text.contains("WARN:") {
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"text/x-log".to_string()
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} else if text.starts_with("---") || text.contains("---") {
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"text/x-diff".to_string()
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} else {
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"text/plain".to_string()
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}
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}
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}
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/// Metrics for query-time optimization
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#[derive(Debug, Clone)]
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pub struct QueryOptimizationMetrics {
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pub original_bytes: usize,
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pub cache_stable_bytes: usize,
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pub cache_drift: f32,
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pub is_cache_eligible: bool,
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pub has_optimizer: bool,
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use time::macros::datetime;
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use crate::domain::{Provenance, Role, Record};
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fn make_test_chunk(text: &str) -> Chunk {
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Chunk::new(
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1,
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vec![Record {
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role: Role::User,
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text: text.to_string(),
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timestamp: datetime!(2024-08-28 12:00:00 UTC),
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provenance: Provenance {
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source_id: "test".to_string(),
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offset: 0,
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},
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}],
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100,
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)
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}
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#[test]
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fn test_optimizer_disabled() {
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let optimizer = QueryOptimizer::disabled();
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assert!(!optimizer.enabled);
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}
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#[test]
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fn test_optimizer_from_env() {
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std::env::set_var("MEM_QUERY_OPTIMIZER", "off");
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let optimizer = QueryOptimizer::from_env();
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assert!(!optimizer.enabled);
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}
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#[tokio::test]
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async fn test_optimize_chunk_disabled() {
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let optimizer = QueryOptimizer::disabled();
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let chunk = make_test_chunk("test content");
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let result = optimizer.optimize_chunk(&chunk).await;
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assert_eq!(result.unwrap(), "test content");
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}
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#[test]
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fn test_infer_content_type_json() {
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let json = "{\"key\": \"value\"}";
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let content_type = QueryOptimizer::infer_content_type(json);
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assert_eq!(content_type, "application/json");
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}
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#[test]
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fn test_infer_content_type_log() {
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let log = "ERROR: something failed";
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let content_type = QueryOptimizer::infer_content_type(log);
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assert_eq!(content_type, "text/x-log");
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}
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#[test]
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fn test_infer_content_type_diff() {
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let diff = "---\n+++ file.txt";
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let content_type = QueryOptimizer::infer_content_type(diff);
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assert_eq!(content_type, "text/x-diff");
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}
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#[test]
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fn test_infer_content_type_text() {
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let text = "Plain text content";
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let content_type = QueryOptimizer::infer_content_type(text);
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assert_eq!(content_type, "text/plain");
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}
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}
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