fix: ASRX duplication, TKG edges, trace ingest, and add pipeline progress publishing

- ASRX handler no longer stores duplicate 'asr' pre_chunks
- Pre_chunks storage made idempotent (delete-before-insert)
- Rule 1 + trace_ingest changed to query 'asrx' not 'asr'
- Trace chunks removed (dynamic from TKG/Qdrant)
- TKG scroll_face_points fixed: trace_id >= 1 (not == 1)
- TKG AsrxSegmentEntry: start/end -> start_time/end_time (match ASRX JSON)
- Unregister error handling: log instead of silent discard
- Add publish_pipeline_progress calls at each pipeline stage
  (processors, rule1, face_trace, identity_agent, TKG, rule2, completion)

src/api/search.rs

@@ -149,7 +149,6 @@ pub async fn smart_search(
         },
     )?;
 
-    const KEYWORD_FIXED_SCORE: f64 = 0.5;
     const IDENTITY_FIXED_SCORE: f64 = 0.85;
 
     let fetch_limit = limit * 3;
@@ -302,23 +301,23 @@ pub async fn smart_search(
             });
     }
 
-    // Add keyword results (fixed score 0.5)
-    let keyword_fixed = KEYWORD_FIXED_SCORE;
-    for (file_uuid, chunk_id, _) in keyword_results.iter() {
+    // Add keyword results (score from FTS rank, capped at 1.0)
+    for (file_uuid, chunk_id, actual_score) in keyword_results.iter() {
         let key = (file_uuid.clone(), chunk_id.clone());
+        let capped = actual_score.min(1.0).max(0.1);
         merged
             .entry(key)
             .and_modify(|e| {
-                e.score = e.score.max(keyword_fixed);
-                e.keyword_score = Some(keyword_fixed);
+                e.score = e.score.max(capped);
+                e.keyword_score = Some(capped);
                 e.source = format!("{}_keyword", e.source);
             })
             .or_insert(MergedResult {
                 file_uuid: file_uuid.clone(),
                 chunk_id: chunk_id.clone(),
-                score: keyword_fixed,
+                score: capped,
                 semantic_score: None,
-                keyword_score: Some(keyword_fixed),
+                keyword_score: Some(capped),
                 identity_score: None,
                 source: "keyword".to_string(),
             });