fix(codegen): emit the declared cgi identity — it was searched for in a list that cannot contain it #87

Closed
tim.lingo wants to merge 2 commits from fix/cgi-identity-emission into main
3 changed files with 176 additions and 58 deletions
+6 -2
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@@ -50,8 +50,12 @@ fn query_param(path: String, key: String) -> String {
if pos < 0 { return "" } if pos < 0 { return "" }
let after: String = str_slice(qs, pos + str_len(needle), str_len(qs)) let after: String = str_slice(qs, pos + str_len(needle), str_len(qs))
let amp: Int = str_index_of(after, "&") let amp: Int = str_index_of(after, "&")
if amp < 0 { return after } // SPEC-SEARCH-UPGRADE 2026-07-14: URL-decode the extracted value (%XX and
str_slice(after, 0, amp) // '+' were previously passed through literally, so an encoded multi-word
// query arrived as junk tokens pre-existing GET-path defect, masked
// until search could actually rank multi-word queries).
if amp < 0 { return url_decode(after) }
url_decode(str_slice(after, 0, amp))
} }
fn query_int(path: String, key: String, default_val: Int) -> Int { fn query_int(path: String, key: String, default_val: Int) -> Int {
+127 -29
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@@ -6826,6 +6826,116 @@ static int istr_contains(const char* hay, const char* needle) {
return 0; return 0;
} }
/* ---- SPEC-SEARCH-UPGRADE-OURS-2026-07-14: ranked search (BM25 + recency) ----
* Replaces first-N-in-storage-order substring matching (measured 13% hit@5 on
* the 15-query pinned eval; ranked model measured 93% offline). Deterministic,
* local, transparent no model call on the hot path. Multi-word queries score
* per-token (rare+concentrated terms weigh most); ties break newest-first so
* fresh memories stop losing to storage order. The transparent-layer identity
* filter is preserved unchanged: hidden self layers stay invisible here and
* surface only via engram_activate the legitimate path. */
#define ENGRAM_BM25_MAX_QTOK 16
#define ENGRAM_BM25_TOKLEN 48
static int engram_tok_next(const char** ps, char* out, int cap) {
const char* s = *ps;
while (*s && !isalnum((unsigned char)*s)) s++;
if (!*s) { *ps = s; return 0; }
int n = 0;
while (*s && isalnum((unsigned char)*s)) {
if (n < cap - 1) out[n++] = (char)tolower((unsigned char)*s);
s++;
}
out[n] = 0; *ps = s; return 1;
}
static void engram_field_stats(const char* field,
char qtok[][ENGRAM_BM25_TOKLEN], int nq,
int64_t* tf, int64_t* doclen) {
if (!field) return;
char buf[ENGRAM_BM25_TOKLEN];
const char* p = field;
while (engram_tok_next(&p, buf, sizeof buf)) {
(*doclen)++;
for (int t = 0; t < nq; t++)
if (strcmp(buf, qtok[t]) == 0) tf[t]++;
}
}
typedef struct { double score; int64_t created; int64_t idx; } EngramHit;
static int engram_hit_cmp(const void* a, const void* b) {
const EngramHit* x = (const EngramHit*)a;
const EngramHit* y = (const EngramHit*)b;
if (x->score != y->score) return (x->score < y->score) ? 1 : -1;
if (x->created != y->created) return (x->created < y->created) ? 1 : -1;
return 0;
}
/* Scores every visible node against the query; writes ranked hits into `out`
* (caller allocates g->node_count entries). Returns min(hits, lim). */
static int64_t engram_search_ranked(EngramStore* g, const char* q, int64_t lim,
EngramHit* out) {
char qtok[ENGRAM_BM25_MAX_QTOK][ENGRAM_BM25_TOKLEN];
int nq = 0;
{
const char* p = q; char buf[ENGRAM_BM25_TOKLEN];
while (nq < ENGRAM_BM25_MAX_QTOK && engram_tok_next(&p, buf, sizeof buf)) {
int dup = 0;
for (int t = 0; t < nq; t++)
if (strcmp(qtok[t], buf) == 0) { dup = 1; break; }
if (!dup) { strcpy(qtok[nq], buf); nq++; }
}
}
if (nq == 0) return 0;
int64_t N = g->node_count;
int64_t* tfm = (int64_t*)calloc((size_t)(N * nq), sizeof(int64_t));
int64_t* dlen = (int64_t*)calloc((size_t)N, sizeof(int64_t));
if (!tfm || !dlen) { free(tfm); free(dlen); return 0; }
int64_t df[ENGRAM_BM25_MAX_QTOK] = {0};
double total_len = 0.0; int64_t live = 0;
for (int64_t i = 0; i < N; i++) {
EngramNode* n = &g->nodes[i];
if (engram_layer_is_transparent(n->layer_id)) continue;
live++;
int64_t* tf = &tfm[i * nq];
engram_field_stats(n->content, qtok, nq, tf, &dlen[i]);
engram_field_stats(n->label, qtok, nq, tf, &dlen[i]);
engram_field_stats(n->tags, qtok, nq, tf, &dlen[i]);
total_len += (double)dlen[i];
for (int t = 0; t < nq; t++) if (tf[t] > 0) df[t]++;
}
double avg = (live > 0) ? total_len / (double)live : 1.0;
if (avg <= 0.0) avg = 1.0;
const double k1 = 1.2, b = 0.75;
int64_t nhits = 0;
for (int64_t i = 0; i < N; i++) {
EngramNode* n = &g->nodes[i];
if (engram_layer_is_transparent(n->layer_id)) continue;
int64_t* tf = &tfm[i * nq];
double s = 0.0;
for (int t = 0; t < nq; t++) {
if (tf[t] == 0) continue;
double idf = log(((double)live - (double)df[t] + 0.5) /
((double)df[t] + 0.5) + 1.0);
double tfd = (double)tf[t];
s += idf * (tfd * (k1 + 1.0)) /
(tfd + k1 * (1.0 - b + b * (double)dlen[i] / avg));
}
if (s > 0.0) {
out[nhits].score = s;
out[nhits].created = n->created_at;
out[nhits].idx = i;
nhits++;
}
}
free(tfm); free(dlen);
qsort(out, (size_t)nhits, sizeof(EngramHit), engram_hit_cmp);
return (nhits < lim) ? nhits : lim;
}
el_val_t engram_search(el_val_t query, el_val_t limit) { el_val_t engram_search(el_val_t query, el_val_t limit) {
EngramStore* g = engram_get(); EngramStore* g = engram_get();
const char* q = EL_CSTR(query); const char* q = EL_CSTR(query);
@@ -6833,21 +6943,13 @@ el_val_t engram_search(el_val_t query, el_val_t limit) {
if (lim <= 0) lim = 100; if (lim <= 0) lim = 100;
el_val_t lst = el_list_empty(); el_val_t lst = el_list_empty();
if (!q || !*q) return lst; if (!q || !*q) return lst;
int64_t found = 0; if (g->node_count == 0) return lst;
for (int64_t i = 0; i < g->node_count && found < lim; i++) { EngramHit* hits = (EngramHit*)malloc((size_t)g->node_count * sizeof(EngramHit));
EngramNode* n = &g->nodes[i]; if (!hits) return lst;
/* Filter transparent layers: nodes whose layer is `transparent=1` int64_t k = engram_search_ranked(g, q, lim, hits);
* shape output but are invisible to introspection ("what do you for (int64_t i = 0; i < k; i++)
* know about yourself"). They still surface via engram_activate lst = el_list_append(lst, engram_node_to_map(&g->nodes[hits[i].idx]));
* + engram_compile_layered_json that's the legitimate path. */ free(hits);
if (engram_layer_is_transparent(n->layer_id)) continue;
if (istr_contains(n->content, q) ||
istr_contains(n->label, q) ||
istr_contains(n->tags, q)) {
lst = el_list_append(lst, engram_node_to_map(n));
found++;
}
}
return lst; return lst;
} }
@@ -7762,27 +7864,23 @@ el_val_t engram_get_node_json(el_val_t id) {
} }
el_val_t engram_search_json(el_val_t query, el_val_t limit) { el_val_t engram_search_json(el_val_t query, el_val_t limit) {
/* SPEC-SEARCH-UPGRADE 2026-07-14: same ranked BM25+recency core as
* engram_search; transparent-layer identity filter enforced inside it. */
EngramStore* g = engram_get(); EngramStore* g = engram_get();
const char* q = EL_CSTR(query); const char* q = EL_CSTR(query);
int64_t lim = (int64_t)limit; int64_t lim = (int64_t)limit;
if (lim <= 0) lim = 100; if (lim <= 0) lim = 100;
JsonBuf b; jb_init(&b); JsonBuf b; jb_init(&b);
jb_putc(&b, '['); jb_putc(&b, '[');
int first = 1; if (q && *q && g->node_count > 0) {
int64_t found = 0; EngramHit* hits = (EngramHit*)malloc((size_t)g->node_count * sizeof(EngramHit));
if (q && *q) { if (hits) {
for (int64_t i = 0; i < g->node_count && found < lim; i++) { int64_t k = engram_search_ranked(g, q, lim, hits);
EngramNode* n = &g->nodes[i]; for (int64_t i = 0; i < k; i++) {
/* Filter transparent layers — same as engram_search. */ if (i) jb_putc(&b, ',');
if (engram_layer_is_transparent(n->layer_id)) continue; engram_emit_node_json(&b, &g->nodes[hits[i].idx]);
if (istr_contains(n->content, q) ||
istr_contains(n->label, q) ||
istr_contains(n->tags, q)) {
if (!first) jb_putc(&b, ',');
engram_emit_node_json(&b, n);
first = 0;
found++;
} }
free(hits);
} }
} }
jb_putc(&b, ']'); jb_putc(&b, ']');
+43 -27
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@@ -3626,6 +3626,24 @@ fn codegen_streaming(tokens: [Any], sigs: [Map<String, Any>], source: String) ->
let pos: Int = 0 let pos: Int = 0
let el_main_body: [Map<String, Any>] = native_list_empty() let el_main_body: [Map<String, Any>] = native_list_empty()
let toplevel_exec_stmts: [Map<String, Any>] = native_list_empty() let toplevel_exec_stmts: [Map<String, Any>] = native_list_empty()
// CGI IDENTITY CAPTURE (2026-08-09). A cgi block is a top-level DECLARATION, so
// the classifier below correctly excludes it from toplevel_exec_stmts and calls
// el_release on it. The identity emission further down then searched
// toplevel_exec_stmts for it a list that structurally can never contain it
// found nothing, and emitted nothing, silently. Measured: that search sees only
// [Let, Expr] for a program whose first statement is a cgi block.
// Fix: copy the values out BEFORE the release (strings, so no dangling reference)
// and emit from these. No search, so the failure mode is removed rather than moved.
let cgi_have: Bool = false
let cgi_name_v: String = ""
let cgi_did_v: String = ""
let cgi_prin_v: String = ""
let cgi_net_v: String = ""
let cgi_eng_v: String = ""
let cgi_has_did: Bool = false
let cgi_has_prin: Bool = false
let cgi_has_net: Bool = false
let cgi_has_eng: Bool = false
let has_toplevel_exec: Bool = false let has_toplevel_exec: Bool = false
let stream_running: Bool = true let stream_running: Bool = true
@@ -3736,6 +3754,20 @@ fn codegen_streaming(tokens: [Any], sigs: [Map<String, Any>], source: String) ->
if is_top_level_decl(stmt) { if is_top_level_decl(stmt) {
// Import, TypeDef, EnumDef, CgiBlock, ServiceBlock, ExternFn // Import, TypeDef, EnumDef, CgiBlock, ServiceBlock, ExternFn
// These are no-ops in codegen (forward decls already emitted) // These are no-ops in codegen (forward decls already emitted)
// except a CgiBlock, whose declared identity must survive
// this release to be emitted as a compiled constant.
if str_eq(sk, "CgiBlock") {
let cgi_have = true
let cgi_name_v = stmt["name"]
let cgi_did_v = stmt["dharma_id"]
let cgi_prin_v = stmt["principal"]
let cgi_net_v = stmt["network"]
let cgi_eng_v = stmt["engram"]
let cgi_has_did = stmt["has_dharma_id"]
let cgi_has_prin = stmt["has_principal"]
let cgi_has_net = stmt["has_network"]
let cgi_has_eng = stmt["has_engram"]
}
el_release(stmt) el_release(stmt)
} else { } else {
if str_eq(sk, "Let") { if str_eq(sk, "Let") {
@@ -3814,33 +3846,17 @@ fn codegen_streaming(tokens: [Any], sigs: [Map<String, Any>], source: String) ->
let sig2 = native_list_get(sigs, si2) let sig2 = native_list_get(sigs, si2)
let sk3: String = sig2["kind"] let sk3: String = sig2["kind"]
if str_eq(sk3, "cgi_block") { if str_eq(sk3, "cgi_block") {
// We need the full cgi_block data it was parsed by scan_fn_sigs // Emit from the values captured before the declaration was released.
// but scan only stored the name. For cgi_init we need dharma_id etc. // The previous implementation searched toplevel_exec_stmts, which by
// Since cgi blocks are rare and small, they end up in toplevel_exec_stmts. // construction never contains a declaration so it emitted nothing and
// Find the CgiBlock in toplevel_exec_stmts. // said nothing. See the capture block near toplevel_exec_stmts init.
let tes_n: Int = native_list_len(toplevel_exec_stmts) if cgi_have {
let tes_i: Int = 0 let arg_name2: String = "EL_STR(" + c_str_lit(cgi_name_v) + ")"
while tes_i < tes_n { let arg_did2: String = cgi_arg(cgi_did_v, cgi_has_did)
let tes = native_list_get(toplevel_exec_stmts, tes_i) let arg_prin2: String = cgi_arg(cgi_prin_v, cgi_has_prin)
let tes_k: String = tes["stmt"] let arg_net2: String = cgi_arg(cgi_net_v, cgi_has_net)
if str_eq(tes_k, "CgiBlock") { let arg_eng2: String = cgi_arg(cgi_eng_v, cgi_has_eng)
let cname2: String = tes["name"] emit_line(" el_cgi_init(" + arg_name2 + ", " + arg_did2 + ", " + arg_prin2 + ", " + arg_net2 + ", " + arg_eng2 + ");")
let cdid2: String = tes["dharma_id"]
let cprin2: String = tes["principal"]
let cnet2: String = tes["network"]
let ceng2: String = tes["engram"]
let has_did2: Bool = tes["has_dharma_id"]
let has_prin2: Bool = tes["has_principal"]
let has_net2: Bool = tes["has_network"]
let has_eng2: Bool = tes["has_engram"]
let arg_name2: String = "EL_STR(" + c_str_lit(cname2) + ")"
let arg_did2: String = cgi_arg(cdid2, has_did2)
let arg_prin2: String = cgi_arg(cprin2, has_prin2)
let arg_net2: String = cgi_arg(cnet2, has_net2)
let arg_eng2: String = cgi_arg(ceng2, has_eng2)
emit_line(" el_cgi_init(" + arg_name2 + ", " + arg_did2 + ", " + arg_prin2 + ", " + arg_net2 + ", " + arg_eng2 + ");")
}
let tes_i = tes_i + 1
} }
} }
let si2 = si2 + 1 let si2 = si2 + 1