New classification logic etc

supabase/migrations/20240101000040_booking_template_embeddings.sql

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+-- Migration 040: Booking Template Embeddings
+-- Stores pre-computed embeddings for booking templates to enable
+-- semantic similarity search for transaction classification.
+
+-- ============================================================
+-- booking_template_embeddings
+-- ============================================================
+
+create table public.booking_template_embeddings (
+  id              uuid primary key default gen_random_uuid(),
+  template_id     text unique not null,
+  embedding       extensions.vector(1536) not null,
+  embedding_text  text not null,
+  model           text not null,
+  schema_version  text not null,
+  created_at      timestamptz not null default now(),
+  updated_at      timestamptz not null default now()
+);
+
+alter table public.booking_template_embeddings enable row level security;
+
+-- Shared system data — any authenticated user can read
+create policy "booking_template_embeddings_select" on public.booking_template_embeddings
+  for select using (true);
+
+-- Only service role can insert/update (no user-scoped writes)
+-- RLS blocks regular users from writing; service role bypasses RLS
+
+create trigger booking_template_embeddings_updated_at
+  before update on public.booking_template_embeddings
+  for each row execute function public.update_updated_at_column();
+
+-- HNSW index for fast cosine similarity search
+create index idx_booking_template_embeddings_embedding
+  on public.booking_template_embeddings
+  using hnsw (embedding extensions.vector_cosine_ops);
+
+create index idx_booking_template_embeddings_template_id
+  on public.booking_template_embeddings (template_id);
+
+-- ============================================================
+-- match_booking_templates RPC (vector similarity search)
+-- ============================================================
+
+create or replace function public.match_booking_templates(
+  query_embedding extensions.vector,
+  match_count int default 20,
+  match_threshold float default 0.5
+)
+returns table (
+  template_id text,
+  embedding_text text,
+  similarity float
+)
+language plpgsql
+security definer
+set search_path = public, extensions
+as $$
+begin
+  return query
+  select
+    bte.template_id,
+    bte.embedding_text,
+    1 - (bte.embedding <=> query_embedding)::float as similarity
+  from public.booking_template_embeddings bte
+  where 1 - (bte.embedding <=> query_embedding) >= match_threshold
+  order by bte.embedding <=> query_embedding
+  limit match_count;
+end;
+$$;
+
+grant execute on function public.match_booking_templates(extensions.vector, int, float) to authenticated;