fix: deploy public production access for psychiatry.tools

.gitleaksignore

@@ -8,3 +8,5 @@
 # generic-api-key rule on historical commit content scanned in PR history.
 27121756b10df6d93841ebf48b0f1991e0144a1f:data/medications-snapshot.json:generic-api-key:22253
 27121756b10df6d93841ebf48b0f1991e0144a1f:data/medications-snapshot.json:generic-api-key:47690
+b65acddaa13e69e0ad2a49783116056b3a1a3639:data/medications-snapshot.json:generic-api-key:21520
+b65acddaa13e69e0ad2a49783116056b3a1a3639:data/medications-snapshot.json:generic-api-key:46330

package.json

@@ -68,6 +68,7 @@
     "reindex:cleanup-staged": "tsx scripts/cleanup-abandoned-reindex-generations.ts",
     "supabase:recovery-status": "tsx scripts/supabase-recovery-status.ts",
     "promote:query-misses": "tsx scripts/promote-query-misses.ts",
+    "promote:public-documents": "tsx scripts/promote-public-documents.ts",
     "eval:rag": "node scripts/run-eval-safe.mjs scripts/eval-rag.ts",
     "eval:answer-quality": "node scripts/run-eval-safe.mjs scripts/eval-answer-quality.ts",
     "eval:quality": "node scripts/run-eval-safe.mjs scripts/eval-quality.ts",

scripts/commit-access-rag-fix.mjs

@@ -0,0 +1,209 @@
+import fs from "node:fs";
+import { execSync } from "node:child_process";
+
+const ownerScope = `import { isDemoMode, isLocalNoAuthMode } from "@/lib/env";
+
+export const PUBLIC_OWNER_FILTER_SENTINEL = "00000000-0000-0000-0000-000000000000";
+
+export function requireOwnerScope(ownerId: string | null | undefined): string | undefined {
+  if (ownerId) return ownerId;
+  if (isDemoMode() || isLocalNoAuthMode() || process.env.NODE_ENV === "test") {
+    return undefined;
+  }
+  throw new Error(
+    "Owner-scoped retrieval was called without an ownerId; refusing to run to avoid returning another tenant's data.",
+  );
+}
+
+export function retrievalOwnerFilter(args: {
+  ownerId?: string | null;
+  documentIds?: string[];
+  allowGlobalSearch?: boolean;
+}): string | null | undefined {
+  if (args.ownerId) return requireOwnerScope(args.ownerId);
+  if (isDemoMode() || isLocalNoAuthMode() || process.env.NODE_ENV === "test") {
+    return undefined;
+  }
+  if (args.allowGlobalSearch || args.documentIds?.length) {
+    return PUBLIC_OWNER_FILTER_SENTINEL;
+  }
+  throw new Error(
+    "Owner-scoped retrieval was called without an ownerId; refusing to run to avoid returning another tenant's data.",
+  );
+}
+`;
+
+fs.writeFileSync("src/lib/owner-scope.ts", ownerScope);
+
+let rag = fs.readFileSync("src/lib/rag.ts", "utf8");
+rag = rag.replace(
+  'import { requireOwnerScope } from "@/lib/owner-scope";',
+  'import { requireOwnerScope, retrievalOwnerFilter } from "@/lib/owner-scope";',
+);
+rag = rag.replace(
+  /function ownerScopeForDocumentFilteredRetrieval\([\s\S]*?\n\}/,
+  `function ownerScopeForDocumentFilteredRetrieval(
+  ownerId: string | undefined,
+  documentIds: string[] | undefined,
+  allowGlobalSearch?: boolean,
+) {
+  return retrievalOwnerFilter({ ownerId, documentIds, allowGlobalSearch });
+}`,
+);
+rag = rag.replaceAll(
+  "ownerScopeForDocumentFilteredRetrieval(args.ownerId, args.documentIds)",
+  "ownerScopeForDocumentFilteredRetrieval(args.ownerId, args.documentIds, args.allowGlobalSearch)",
+);
+rag = rag.replaceAll(
+  "ownerScopeForDocumentFilteredRetrieval(args.ownerId, documentFilterList)",
+  "ownerScopeForDocumentFilteredRetrieval(args.ownerId, documentFilterList, args.allowGlobalSearch)",
+);
+rag = rag.replace(
+  `documentFilter ? [documentFilter] : undefined,
+        ),`,
+  `documentFilter ? [documentFilter] : undefined,
+          documentFilter ? undefined : args.allowGlobalSearch,
+        ),`,
+);
+rag = rag.replace(
+  `documentIds: documentFilterList,
+    matchCount: textCandidateCount,`,
+  `documentIds: documentFilterList,
+    allowGlobalSearch: args.allowGlobalSearch,
+    matchCount: textCandidateCount,`,
+);
+rag = rag.replaceAll(
+  `documentIds: documentFilterList,
+      matchCount: Math.min(candidateCount, 48),`,
+  `documentIds: documentFilterList,
+      allowGlobalSearch: args.allowGlobalSearch,
+      matchCount: Math.min(candidateCount, 48),`,
+);
+rag = rag.replace(
+  `documentIds: documentFilterList,
+      matchCount: Math.min(candidateCount, 64),`,
+  `documentIds: documentFilterList,
+      allowGlobalSearch: args.allowGlobalSearch,
+      matchCount: Math.min(candidateCount, 64),`,
+);
+rag = rag.replace(
+  "documentIds?: string[];\n  matchCount: number;\n}) {\n  const runChunkText",
+  "documentIds?: string[];\n  allowGlobalSearch?: boolean;\n  matchCount: number;\n}) {\n  const runChunkText",
+);
+for (const fn of ["searchTableFactCandidates", "searchEmbeddingFieldCandidates", "searchIndexUnitCandidates"]) {
+  rag = rag.replace(
+    new RegExp(`async function ${fn}\\([\\s\\S]*?documentIds\\?: string\\[\\];\\n  matchCount: number;`),
+    (m) => m.replace("documentIds?: string[];\n  matchCount: number;", "documentIds?: string[];\n  allowGlobalSearch?: boolean;\n  matchCount: number;"),
+  );
+}
+if (!rag.includes('else documentQuery = documentQuery.is("owner_id", null);')) {
+  rag = rag.replace(
+    `if (args.ownerId) documentQuery = documentQuery.eq("owner_id", args.ownerId);
+  const { data: documents, error: documentsError } = await documentQuery;`,
+    `if (args.ownerId) documentQuery = documentQuery.eq("owner_id", args.ownerId);
+  else documentQuery = documentQuery.is("owner_id", null);
+  const { data: documents, error: documentsError } = await documentQuery;`,
+  );
+}
+fs.writeFileSync("src/lib/rag.ts", rag);
+
+let enrichment = fs.readFileSync("src/lib/document-enrichment.ts", "utf8");
+enrichment = enrichment.replace(
+  'import { requireOwnerScope } from "@/lib/owner-scope";',
+  'import { retrievalOwnerFilter } from "@/lib/owner-scope";',
+);
+enrichment = enrichment.replace(
+  "owner_filter: args.ownerId ? requireOwnerScope(args.ownerId) : null,",
+  "owner_filter: retrievalOwnerFilter({ ownerId: args.ownerId, documentIds: args.documentIds }),",
+);
+fs.writeFileSync("src/lib/document-enrichment.ts", enrichment);
+
+let memory = fs.readFileSync("src/lib/deep-memory.ts", "utf8");
+if (!memory.includes("retrievalOwnerFilter")) {
+  memory = memory.replace(
+    'import { requireOwnerScope } from "@/lib/owner-scope";',
+    'import { retrievalOwnerFilter } from "@/lib/owner-scope";',
+  );
+  memory = memory.replace(
+    /owner_filter:[\s\S]*?requireOwnerScope\(args\.ownerId\)[\s\S]*?\),/,
+    `owner_filter: retrievalOwnerFilter({
+          ownerId: args.ownerId,
+          documentIds: args.documentIds,
+          allowGlobalSearch: !args.ownerId && !args.documentIds?.length,
+        }),`,
+  );
+}
+fs.writeFileSync("src/lib/deep-memory.ts", memory);
+
+let schema = fs.readFileSync("supabase/schema.sql", "utf8");
+if (!schema.includes("create or replace function public.retrieval_owner_matches")) {
+  schema = schema.replace(
+    "create or replace function public.match_document_chunks(",
+    `create or replace function public.retrieval_owner_matches(owner_filter uuid, row_owner_id uuid)
+returns boolean
+language sql
+immutable
+parallel safe
+set search_path = public, pg_temp
+as $$
+  select case
+    when owner_filter is null then true
+    when owner_filter = '00000000-0000-0000-0000-000000000000'::uuid then row_owner_id is null
+    else row_owner_id = owner_filter
+  end;
+$$;
+
+create or replace function public.match_document_chunks(`,
+  );
+}
+schema = schema.replaceAll("(owner_filter is null or d.owner_id = owner_filter)", "public.retrieval_owner_matches(owner_filter, d.owner_id)");
+schema = schema.replaceAll("(owner_filter is null or l.owner_id = owner_filter)", "public.retrieval_owner_matches(owner_filter, l.owner_id)");
+schema = schema.replaceAll("(owner_filter is null or s.owner_id = owner_filter)", "public.retrieval_owner_matches(owner_filter, s.owner_id)");
+schema = schema.replaceAll("(owner_filter is null or f.owner_id = owner_filter)", "public.retrieval_owner_matches(owner_filter, f.owner_id)");
+fs.writeFileSync("supabase/schema.sql", schema);
+
+const names = [
+  "retrieval_owner_matches",
+  "match_document_chunks",
+  "match_document_chunks_hybrid",
+  "match_document_memory_cards_hybrid",
+  "match_documents_for_query",
+  "match_document_chunks_text",
+  "match_document_lookup_chunks_text",
+  "get_related_document_metadata",
+  "match_document_table_facts_text",
+  "match_document_embedding_fields_hybrid",
+  "match_document_index_units_hybrid",
+];
+const chunks = names.map((name) => {
+  const re = new RegExp(`create or replace function public\\.${name}[\\s\\S]*?\\n\\$\\$;`, "i");
+  const match = schema.match(re);
+  if (!match) throw new Error(`missing ${name}`);
+  return match[0];
+});
+fs.writeFileSync(
+  "supabase/migrations/20260705210000_retrieval_owner_filter_sentinel.sql",
+  `-- Public-only retrieval owner filter sentinel for hybrid RPCs.\nset search_path = public, extensions, pg_temp;\n\n${chunks.join("\n\n")}\n`,
+);
+
+let ownerTest = fs.readFileSync("tests/owner-scope.test.ts", "utf8");
+if (!ownerTest.includes("retrievalOwnerFilter")) {
+  ownerTest += `\ndescribe("retrievalOwnerFilter", () => {
+  it("returns the public sentinel for anonymous production global search", async () => {
+    vi.doMock("@/lib/env", () => ({ isDemoMode: () => false, isLocalNoAuthMode: () => false }));
+    vi.stubEnv("NODE_ENV", "production");
+    const { retrievalOwnerFilter, PUBLIC_OWNER_FILTER_SENTINEL } = await import("../src/lib/owner-scope");
+    expect(retrievalOwnerFilter({ allowGlobalSearch: true })).toBe(PUBLIC_OWNER_FILTER_SENTINEL);
+  });
+});\n`;
+  fs.writeFileSync("tests/owner-scope.test.ts", ownerTest);
+}
+
+execSync(
+  "git add src/lib/owner-scope.ts src/lib/rag.ts src/lib/document-enrichment.ts src/lib/deep-memory.ts supabase/schema.sql supabase/migrations/20260705210000_retrieval_owner_filter_sentinel.sql tests/owner-scope.test.ts scripts/commit-access-rag-fix.mjs",
+  { stdio: "inherit" },
+);
+execSync('git commit -m "fix(rag): scope anonymous retrieval to public documents via owner sentinel"', {
+  stdio: "inherit",
+});
+console.log("committed");

scripts/eval-quality.ts

@@ -45,6 +45,7 @@ type EvalQualityArgs = {
   retrievalOnly: boolean;
   ragOnly: boolean;
   skipPreflight: boolean;
+  forceEmbedding: boolean;
 };
 
 export type RagQualityResult = {
@@ -150,6 +151,7 @@ function parseArgs(argv: string[]): EvalQualityArgs {
     retrievalOnly: false,
     ragOnly: false,
     skipPreflight: false,
+    forceEmbedding: false,
   };
 
   for (let index = 0; index < argv.length; index += 1) {
@@ -176,6 +178,10 @@ function parseArgs(argv: string[]): EvalQualityArgs {
       args.skipPreflight = true;
       continue;
     }
+    if (token === "--force-embedding") {
+      args.forceEmbedding = true;
+      continue;
+    }
 
     const value = argv[index + 1];
     if (!value || value.startsWith("--")) throw new Error(`Missing value for ${token}`);
@@ -476,6 +482,11 @@ export function buildEvalQualityReport(args: {
         `retrieval content_recall_at_5 ${retrievalSummary.content_recall_at_5} below ${qualityThresholds.retrievalContentRecallAt5}`,
       );
     }
+    if (retrievalSummary.force_embedding_failure_count > 0) {
+      thresholdFailures.push(
+        `retrieval force_embedding_failure_count ${retrievalSummary.force_embedding_failure_count} above 0`,
+      );
+    }
     if (governance.stale_rate > qualityThresholds.staleTopResultRate) {
       thresholdFailures.push(
         `top-result stale_rate ${governance.stale_rate} above ${qualityThresholds.staleTopResultRate}`,
@@ -664,6 +675,8 @@ ${markdownTable([
 ## Retrieval Decision Metrics
 
 ${markdownTable([
+  ["Force-embedding cases", retrieval.force_embedding_case_count],
+  ["Force-embedding failures", retrieval.force_embedding_failure_count],
   ["Embedding skipped rate", retrieval.embedding_skipped_rate],
   ["Median text candidate budget", retrieval.median_text_candidate_budget],
   ["Second-stage rerank rate", retrieval.second_stage_rerank_rate],
@@ -728,6 +741,7 @@ async function runRetrievalQualityCases(args: {
   ownerId?: string;
   limit?: number;
   query?: string;
+  forceEmbedding?: boolean;
   supabase: Awaited<ReturnType<typeof loadAdminClient>>;
 }) {
   const [{ searchChunksWithTelemetry }, capturedCases] = await Promise.all([
@@ -756,7 +770,7 @@ async function runRetrievalQualityCases(args: {
         topK: retrievalLimitForGoldenCase(testCase),
         minSimilarity: 0.12,
         skipCache: true,
-        forceEmbedding: testCase.forceEmbedding,
+        forceEmbedding: testCase.forceEmbedding || args.forceEmbedding,
       }),
     );
     const latencyMs =

scripts/eval-retrieval.ts

@@ -47,6 +47,7 @@ type EvalArgs = {
 export type GoldenRetrievalResult = {
   id: string;
   query: string;
+  forceEmbedding: boolean;
   expectedQueryClass: string;
   actualQueryClass: string | null;
   expectedDocumentSubstrings: string[];
@@ -516,6 +517,11 @@ export function evaluateGoldenRetrievalCase(args: {
   const tableEvidenceFoundAtK = hasTableEvidence(args.results, topK);
   const actualQueryClass = args.telemetry.query_class ?? null;
   const failures: string[] = [];
+  const vectorLayerCount = Object.entries(args.telemetry.retrieval_layer_counts ?? {}).reduce(
+    (sum, [layer, count]) =>
+      ["embedding_fields", "index_units", "hybrid_vector", "vector_fallback"].includes(layer) ? sum + count : sum,
+    0,
+  );
   const hitAtK =
     documentHitsAtK.missing.length === 0 &&
     contentHitsAtK.missing.length === 0 &&
@@ -533,10 +539,23 @@ export function evaluateGoldenRetrievalCase(args: {
   if (args.testCase.expectTableEvidence && !tableEvidenceFound) {
     failures.push("expected table evidence in top 5");
   }
+  if (args.testCase.forceEmbedding) {
+    if (args.telemetry.embedding_skipped) failures.push("forceEmbedding expected embedding to run");
+    if (args.telemetry.retrieval_strategy === "search_cache") failures.push("forceEmbedding served search cache");
+    if (
+      args.telemetry.retrieval_strategy === "text_fast_path" ||
+      args.telemetry.retrieval_strategy === "document_lookup_fast_path"
+    ) {
+      failures.push(`forceEmbedding returned lexical strategy ${args.telemetry.retrieval_strategy}`);
+    }
+    if (args.telemetry.coverage_gate_decision === "accepted") failures.push("forceEmbedding returned coverage gate");
+    if (vectorLayerCount <= 0) failures.push("forceEmbedding found no vector-layer candidates");
+  }
 
   return {
     id: args.testCase.id,
     query: args.testCase.query,
+    forceEmbedding: args.testCase.forceEmbedding ?? false,
     expectedQueryClass: args.testCase.expectedQueryClass,
     actualQueryClass,
     expectedDocumentSubstrings: args.testCase.expectedDocumentSubstrings,
@@ -612,6 +631,7 @@ export function summarizeGoldenRetrievalResults(results: GoldenRetrievalResult[]
     }
     return counts;
   }, {});
+  const forceEmbeddingResults = results.filter((result) => result.forceEmbedding);
   return {
     case_count: results.length,
     document_recall_at_5: Number(
@@ -647,6 +667,8 @@ export function summarizeGoldenRetrievalResults(results: GoldenRetrievalResult[]
     embedding_skip_reason_counts: embeddingSkipReasonCounts,
     text_fast_path_reason_counts: textFastPathReasonCounts,
     retrieval_layer_counts: layerCounts,
+    force_embedding_case_count: forceEmbeddingResults.length,
+    force_embedding_failure_count: forceEmbeddingResults.filter((result) => result.failures.length > 0).length,
     median_text_candidate_budget: percentile(textCandidateBudgets, 50),
     second_stage_rerank_rate: Number(
       (results.filter((result) => result.secondStageRerankUsed).length / Math.max(results.length, 1)).toFixed(4),
@@ -723,6 +745,8 @@ function printHumanSummary(summary: ReturnType<typeof summarizeGoldenRetrievalRe
   console.log(`  retrieval_strategy_counts=${JSON.stringify(summary.retrieval_strategy_counts)}`);
   console.log(`  retrieval_plan_counts=${JSON.stringify(summary.retrieval_plan_counts)}`);
   console.log(`  retrieval_layer_counts=${JSON.stringify(summary.retrieval_layer_counts)}`);
+  console.log(`  force_embedding_case_count=${summary.force_embedding_case_count}`);
+  console.log(`  force_embedding_failure_count=${summary.force_embedding_failure_count}`);
   console.log(`  embedding_skipped_rate=${summary.embedding_skipped_rate}`);
   console.log(`  embedding_skip_reason_counts=${JSON.stringify(summary.embedding_skip_reason_counts)}`);
   console.log(`  text_fast_path_reason_counts=${JSON.stringify(summary.text_fast_path_reason_counts)}`);