fix(engram): tokenized + ranked lexical search, not whole-query Ctrl-F
El SDK Release / build-and-release (pull_request) Failing after 14m46s
El SDK Release / build-and-release (pull_request) Failing after 14m46s
engram search/activate/goal-bias matched the ENTIRE raw query string as a single case-insensitive substring (istr_contains(field, q)). Multi-word queries like "windows msi signing" only matched a node containing that exact contiguous run, so real multi-word queries returned ZERO on a graph saturated with the answer. This is Ctrl-F, not search — and search is the core of the engram being useful. Fix: split the query on whitespace into distinct tokens; a node matches if it contains ANY token in content/label/tags. Rank by distinct tokens matched (desc) then salience (desc). istr_contains is kept unchanged as the per-token primitive. Single-token queries are a strict special case (score 0 or 1) so the many single-word callers do not regress. Sites changed (all in el_runtime.c): - new helpers engram_tokenize_query / engram_node_match_score / engram_rank_cmp - engram_search (internal el_val_t path) - engram_search_json (HTTP /api/search path) - engram_activate seed loop (HTTP /api/activate path; seed activation scaled by token coverage so full-query matches seed more strongly) - engram_goal_bias overlap bonus upgraded to graded token coverage Proof (6591-node snapshot copy, rebuilt binary on :8799, POST JSON path): windows msi signing 0 -> 20 Will Anderson 0 -> 20 windows msi 0 -> 20 tokenized search fix 0 -> 20 Single-word parity preserved (VBD/volatility/elc capped at limit; unkey = all matching nodes). Top hits are relevant (e.g. "Will Anderson" surfaces the Project Design and VBD whitepapers). Note: GET ?q=a%20b still returns 0 because query_param (server.el) does not URL-decode — a separate EL-layer bug; the soul's POST-JSON path is fixed here.
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@@ -6826,6 +6826,75 @@ static int istr_contains(const char* hay, const char* needle) {
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return 0;
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}
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/* ── Tokenized query matching ───────────────────────────────────────────
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* The engram query surface (search / activate / goal-bias) historically
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* matched the ENTIRE raw query string as a single case-insensitive
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* substring via istr_contains(field, q). That is Ctrl-F, not search:
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* a multi-word query like "windows msi signing" only matched a node whose
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* text contained that exact contiguous run, so real multi-word queries
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* returned zero. istr_contains stays as the per-TOKEN primitive; these
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* helpers split the query on whitespace and match ANY token, then rank by
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* how many DISTINCT tokens a node covers. Single-token queries are a strict
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* special case (score is 0 or 1) so single-word callers never regress. */
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#define ENGRAM_MAX_QTOKENS 32
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#define ENGRAM_QTOK_LEN 256
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/* Split q on whitespace into up to ENGRAM_MAX_QTOKENS distinct
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* (case-insensitive) tokens. Returns the token count. Over-long tokens are
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* truncated to ENGRAM_QTOK_LEN-1; over-count tokens are ignored. */
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static int engram_tokenize_query(const char* q,
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char toks[][ENGRAM_QTOK_LEN], int maxtok) {
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int n = 0;
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if (!q) return 0;
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const char* p = q;
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while (*p && n < maxtok) {
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while (*p && isspace((unsigned char)*p)) p++;
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if (!*p) break;
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char buf[ENGRAM_QTOK_LEN];
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size_t tl = 0;
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while (*p && !isspace((unsigned char)*p)) {
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if (tl < sizeof(buf) - 1) buf[tl++] = *p;
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p++;
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}
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buf[tl] = '\0';
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if (tl == 0) continue;
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int dup = 0;
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for (int s = 0; s < n; s++) {
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if (strcasecmp(toks[s], buf) == 0) { dup = 1; break; }
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}
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if (dup) continue;
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memcpy(toks[n], buf, tl + 1);
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n++;
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}
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return n;
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}
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/* Count how many of the ntok distinct query tokens appear (case-insensitive)
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* in the node's content, label, or tags. 0 == no match. */
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static int engram_node_match_score(const EngramNode* n,
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char toks[][ENGRAM_QTOK_LEN], int ntok) {
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int score = 0;
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for (int t = 0; t < ntok; t++) {
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if (istr_contains(n->content, toks[t]) ||
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istr_contains(n->label, toks[t]) ||
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istr_contains(n->tags, toks[t]))
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score++;
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}
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return score;
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}
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/* Rank entry: distinct-token match count (primary, desc) then salience
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* (tiebreak, desc). */
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typedef struct { int64_t idx; int score; double salience; } EngramRankEntry;
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static int engram_rank_cmp(const void* a, const void* b) {
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const EngramRankEntry* ea = (const EngramRankEntry*)a;
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const EngramRankEntry* eb = (const EngramRankEntry*)b;
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if (ea->score != eb->score) return eb->score - ea->score; /* desc */
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if (ea->salience < eb->salience) return 1;
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if (ea->salience > eb->salience) return -1;
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return 0;
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}
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el_val_t engram_search(el_val_t query, el_val_t limit) {
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EngramStore* g = engram_get();
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const char* q = EL_CSTR(query);
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@@ -6833,21 +6902,34 @@ el_val_t engram_search(el_val_t query, el_val_t limit) {
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if (lim <= 0) lim = 100;
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el_val_t lst = el_list_empty();
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if (!q || !*q) return lst;
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int64_t found = 0;
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for (int64_t i = 0; i < g->node_count && found < lim; i++) {
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char toks[ENGRAM_MAX_QTOKENS][ENGRAM_QTOK_LEN];
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int ntok = engram_tokenize_query(q, toks, ENGRAM_MAX_QTOKENS);
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if (ntok == 0) return lst;
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EngramRankEntry* hits = malloc((size_t)g->node_count * sizeof(EngramRankEntry));
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if (!hits) return lst;
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int64_t nhits = 0;
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for (int64_t i = 0; i < g->node_count; i++) {
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EngramNode* n = &g->nodes[i];
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/* Filter transparent layers: nodes whose layer is `transparent=1`
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* shape output but are invisible to introspection ("what do you
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* know about yourself"). They still surface via engram_activate
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* + engram_compile_layered_json — that's the legitimate path. */
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if (engram_layer_is_transparent(n->layer_id)) continue;
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if (istr_contains(n->content, q) ||
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istr_contains(n->label, q) ||
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istr_contains(n->tags, q)) {
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lst = el_list_append(lst, engram_node_to_map(n));
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found++;
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int sc = engram_node_match_score(n, toks, ntok);
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if (sc > 0) {
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hits[nhits].idx = i;
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hits[nhits].score = sc;
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hits[nhits].salience = n->salience;
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nhits++;
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}
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}
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/* Rank by distinct tokens matched (desc) then salience (desc), then cap. */
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qsort(hits, (size_t)nhits, sizeof(EngramRankEntry), engram_rank_cmp);
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int64_t end = nhits < lim ? nhits : lim;
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for (int64_t k = 0; k < end; k++) {
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lst = el_list_append(lst, engram_node_to_map(&g->nodes[hits[k].idx]));
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}
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free(hits);
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return lst;
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}
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@@ -7124,10 +7206,14 @@ static double engram_temporal_proximity_bonus(int64_t node_created,
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static double engram_goal_bias(const EngramNode* n, const char* query) {
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if (!query || !*query) return 1.0;
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double bias = 1.0;
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/* Direct lexical overlap: node content/label/tags share text with query. */
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if (istr_contains(n->content, query) || istr_contains(n->label, query) ||
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istr_contains(n->tags, query)) {
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bias += 0.5;
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/* Direct lexical overlap, graded by token coverage: a node covering all
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* query tokens gets the full +0.5; partial coverage gets a proportional
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* share. Single-token queries → full +0.5 on match, identical to before. */
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{
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char toks[ENGRAM_MAX_QTOKENS][ENGRAM_QTOK_LEN];
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int ntok = engram_tokenize_query(query, toks, ENGRAM_MAX_QTOKENS);
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int sc = engram_node_match_score(n, toks, ntok);
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if (sc > 0 && ntok > 0) bias += 0.5 * ((double)sc / (double)ntok);
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}
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/* Node-type resonance with query intent. */
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int technical_query = istr_contains(query, "code") ||
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@@ -7193,14 +7279,21 @@ el_val_t engram_activate(el_val_t query, el_val_t depth) {
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if (!seeds) {
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free(best_bg); free(best_hops); free(reached); return out;
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}
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/* Tokenize once: a node seeds if it matches ANY query token, and its seed
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* activation is scaled by token coverage (fraction of distinct query
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* tokens it contains) so a node matching all words seeds more strongly
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* than one matching a single word. Single-word queries → coverage 1.0,
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* identical to the prior whole-query behavior. */
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char toks[ENGRAM_MAX_QTOKENS][ENGRAM_QTOK_LEN];
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int ntok = engram_tokenize_query(q, toks, ENGRAM_MAX_QTOKENS);
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for (int64_t i = 0; i < g->node_count; i++) {
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EngramNode* n = &g->nodes[i];
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if (istr_contains(n->content, q) ||
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istr_contains(n->label, q) ||
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istr_contains(n->tags, q)) {
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int sc = engram_node_match_score(n, toks, ntok);
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if (sc > 0) {
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double tdecay = engram_temporal_decay(n, now_ms);
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double dampen = engram_activation_dampen(n);
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double act = n->salience * tdecay * dampen;
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double cover = ntok > 0 ? (double)sc / (double)ntok : 1.0;
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double act = n->salience * tdecay * dampen * cover;
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seeds[seed_count].idx = i;
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seeds[seed_count].act = act;
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seeds[seed_count].created_at = n->created_at;
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@@ -7769,19 +7862,36 @@ el_val_t engram_search_json(el_val_t query, el_val_t limit) {
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JsonBuf b; jb_init(&b);
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jb_putc(&b, '[');
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int first = 1;
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int64_t found = 0;
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if (q && *q) {
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for (int64_t i = 0; i < g->node_count && found < lim; i++) {
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EngramNode* n = &g->nodes[i];
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/* Filter transparent layers — same as engram_search. */
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if (engram_layer_is_transparent(n->layer_id)) continue;
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if (istr_contains(n->content, q) ||
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istr_contains(n->label, q) ||
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istr_contains(n->tags, q)) {
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if (!first) jb_putc(&b, ',');
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engram_emit_node_json(&b, n);
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first = 0;
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found++;
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char toks[ENGRAM_MAX_QTOKENS][ENGRAM_QTOK_LEN];
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int ntok = engram_tokenize_query(q, toks, ENGRAM_MAX_QTOKENS);
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if (ntok > 0) {
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EngramRankEntry* hits =
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malloc((size_t)g->node_count * sizeof(EngramRankEntry));
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if (hits) {
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int64_t nhits = 0;
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for (int64_t i = 0; i < g->node_count; i++) {
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EngramNode* n = &g->nodes[i];
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/* Filter transparent layers — same as engram_search. */
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if (engram_layer_is_transparent(n->layer_id)) continue;
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int sc = engram_node_match_score(n, toks, ntok);
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if (sc > 0) {
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hits[nhits].idx = i;
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hits[nhits].score = sc;
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hits[nhits].salience = n->salience;
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nhits++;
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}
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}
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/* Rank by distinct tokens matched (desc) then salience (desc). */
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qsort(hits, (size_t)nhits, sizeof(EngramRankEntry),
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engram_rank_cmp);
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int64_t end = nhits < lim ? nhits : lim;
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for (int64_t k = 0; k < end; k++) {
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if (!first) jb_putc(&b, ',');
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engram_emit_node_json(&b, &g->nodes[hits[k].idx]);
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first = 0;
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}
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free(hits);
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}
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}
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}
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