wip
This commit is contained in:
lila
parent
9d1a82bdf0
commit
488f0dab11
6 changed files with 666 additions and 82 deletions
13
packages/db/drizzle/0001_medical_fabian_cortez.sql
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13
packages/db/drizzle/0001_medical_fabian_cortez.sql
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@ -0,0 +1,13 @@
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ALTER TABLE "decks" DROP CONSTRAINT "unique_deck_name";--> statement-breakpoint
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ALTER TABLE "decks" DROP CONSTRAINT "decks_language_pair_id_language_pairs_id_fk";
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--> statement-breakpoint
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ALTER TABLE "decks" DROP CONSTRAINT "decks_created_by_users_id_fk";
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--> statement-breakpoint
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DROP INDEX "idx_decks_created_by";--> statement-breakpoint
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DROP INDEX "idx_decks_language_pair";--> statement-breakpoint
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ALTER TABLE "decks" ADD COLUMN "validated_for_languages" varchar(10)[] DEFAULT '{}' NOT NULL;--> statement-breakpoint
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ALTER TABLE "deck_terms" DROP COLUMN "position";--> statement-breakpoint
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ALTER TABLE "decks" DROP COLUMN "language_pair_id";--> statement-breakpoint
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ALTER TABLE "decks" DROP COLUMN "created_by";--> statement-breakpoint
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ALTER TABLE "decks" ADD CONSTRAINT "unique_deck_name" UNIQUE("name");--> statement-breakpoint
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ALTER TABLE "decks" ADD CONSTRAINT "validated_languages_check" CHECK (validated_for_languages <@ ARRAY['en', 'it']::varchar[]);
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587
packages/db/drizzle/meta/0001_snapshot.json
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587
packages/db/drizzle/meta/0001_snapshot.json
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@ -0,0 +1,587 @@
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{
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"id": "d6bed73d-ee69-44b1-a3ce-3ae25898a6f0",
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"prevId": "5830ce3b-dc0e-44a7-83d6-bc74016ca4fd",
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"version": "7",
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"dialect": "postgresql",
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"tables": {
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"public.deck_terms": {
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"name": "deck_terms",
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"schema": "",
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"columns": {
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"deck_id": {
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"name": "deck_id",
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"type": "uuid",
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"primaryKey": false,
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"notNull": true
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},
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"term_id": {
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"name": "term_id",
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"type": "uuid",
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"primaryKey": false,
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"notNull": true
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},
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"added_at": {
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"name": "added_at",
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"type": "timestamp with time zone",
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"primaryKey": false,
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"notNull": true,
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"default": "now()"
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}
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},
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"indexes": {
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"idx_deck_terms_term": {
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"name": "idx_deck_terms_term",
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"columns": [
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{
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"expression": "term_id",
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"isExpression": false,
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"asc": true,
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"nulls": "last"
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}
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],
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"isUnique": false,
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"concurrently": false,
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"method": "btree",
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"with": {}
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}
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},
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"foreignKeys": {
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"deck_terms_deck_id_decks_id_fk": {
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"name": "deck_terms_deck_id_decks_id_fk",
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"tableFrom": "deck_terms",
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"tableTo": "decks",
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"columnsFrom": [
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"deck_id"
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],
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"columnsTo": [
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"id"
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],
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"onDelete": "cascade",
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"onUpdate": "no action"
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},
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"deck_terms_term_id_terms_id_fk": {
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"name": "deck_terms_term_id_terms_id_fk",
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"tableFrom": "deck_terms",
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"tableTo": "terms",
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"columnsFrom": [
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"term_id"
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],
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"columnsTo": [
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"id"
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],
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"onDelete": "cascade",
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"onUpdate": "no action"
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}
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},
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"compositePrimaryKeys": {
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"deck_terms_deck_id_term_id_pk": {
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"name": "deck_terms_deck_id_term_id_pk",
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"columns": [
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"deck_id",
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"term_id"
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]
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}
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},
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"uniqueConstraints": {},
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"policies": {},
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"checkConstraints": {},
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"isRLSEnabled": false
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},
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"public.decks": {
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"name": "decks",
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"schema": "",
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"columns": {
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"id": {
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"name": "id",
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"type": "uuid",
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"primaryKey": true,
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"notNull": true,
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"default": "gen_random_uuid()"
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},
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"name": {
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"name": "name",
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"type": "text",
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"primaryKey": false,
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"notNull": true
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},
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"description": {
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"name": "description",
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"type": "text",
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"primaryKey": false,
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"notNull": false
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},
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"validated_for_languages": {
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"name": "validated_for_languages",
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"type": "varchar(10)[]",
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"primaryKey": false,
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"notNull": true,
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"default": "'{}'"
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},
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"is_public": {
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"name": "is_public",
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"type": "boolean",
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"primaryKey": false,
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"notNull": true,
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"default": false
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},
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"created_at": {
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"name": "created_at",
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"type": "timestamp with time zone",
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"primaryKey": false,
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"notNull": true,
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"default": "now()"
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}
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},
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"indexes": {},
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"foreignKeys": {},
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"compositePrimaryKeys": {},
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"uniqueConstraints": {
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"unique_deck_name": {
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"name": "unique_deck_name",
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"nullsNotDistinct": false,
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"columns": [
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"name"
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]
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}
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},
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"policies": {},
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"checkConstraints": {
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"validated_languages_check": {
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"name": "validated_languages_check",
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"value": "validated_for_languages <@ ARRAY['en', 'it']::varchar[]"
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}
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},
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"isRLSEnabled": false
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},
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"public.language_pairs": {
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"name": "language_pairs",
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"schema": "",
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"columns": {
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"id": {
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"name": "id",
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"type": "uuid",
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"primaryKey": true,
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"notNull": true,
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"default": "gen_random_uuid()"
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},
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"source_language": {
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"name": "source_language",
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"type": "varchar(10)",
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"primaryKey": false,
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"notNull": true
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},
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"target_language": {
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"name": "target_language",
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"type": "varchar(10)",
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"primaryKey": false,
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"notNull": true
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},
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"label": {
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"name": "label",
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"type": "text",
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"primaryKey": false,
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"notNull": false
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},
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"active": {
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"name": "active",
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"type": "boolean",
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"primaryKey": false,
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"notNull": true,
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"default": true
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},
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"created_at": {
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"name": "created_at",
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"type": "timestamp with time zone",
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"primaryKey": false,
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"notNull": true,
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"default": "now()"
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}
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},
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"indexes": {
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"idx_pairs_active": {
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"name": "idx_pairs_active",
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"columns": [
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{
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"expression": "active",
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"isExpression": false,
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"asc": true,
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"nulls": "last"
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},
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{
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"expression": "source_language",
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"isExpression": false,
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"asc": true,
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"nulls": "last"
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},
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{
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"expression": "target_language",
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"isExpression": false,
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"asc": true,
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"nulls": "last"
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}
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],
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"isUnique": false,
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"concurrently": false,
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"method": "btree",
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"with": {}
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}
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},
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"foreignKeys": {},
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"compositePrimaryKeys": {},
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"uniqueConstraints": {
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"unique_source_target": {
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"name": "unique_source_target",
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"nullsNotDistinct": false,
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"columns": [
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"source_language",
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"target_language"
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]
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}
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},
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"policies": {},
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"checkConstraints": {
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"source_language_check": {
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"name": "source_language_check",
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"value": "\"language_pairs\".\"source_language\" IN ('en', 'it')"
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},
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"target_language_check": {
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"name": "target_language_check",
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"value": "\"language_pairs\".\"target_language\" IN ('en', 'it')"
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},
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"no_self_pair": {
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"name": "no_self_pair",
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"value": "\"language_pairs\".\"source_language\" != \"language_pairs\".\"target_language\""
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}
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},
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"isRLSEnabled": false
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},
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"public.term_glosses": {
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"name": "term_glosses",
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"schema": "",
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"columns": {
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"id": {
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"name": "id",
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"type": "uuid",
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"primaryKey": true,
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"notNull": true,
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"default": "gen_random_uuid()"
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},
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"term_id": {
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"name": "term_id",
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"type": "uuid",
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"primaryKey": false,
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"notNull": true
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},
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"language_code": {
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"name": "language_code",
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"type": "varchar(10)",
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"primaryKey": false,
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"notNull": true
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},
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"text": {
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"name": "text",
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"type": "text",
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"primaryKey": false,
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"notNull": true
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},
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"created_at": {
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"name": "created_at",
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"type": "timestamp with time zone",
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"primaryKey": false,
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"notNull": true,
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"default": "now()"
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}
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},
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"indexes": {
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"idx_term_glosses_term": {
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"name": "idx_term_glosses_term",
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"columns": [
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{
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"expression": "term_id",
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"isExpression": false,
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"asc": true,
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"nulls": "last"
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}
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],
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"isUnique": false,
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"concurrently": false,
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"method": "btree",
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"with": {}
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}
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},
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"foreignKeys": {
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"term_glosses_term_id_terms_id_fk": {
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"name": "term_glosses_term_id_terms_id_fk",
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"tableFrom": "term_glosses",
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"tableTo": "terms",
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"columnsFrom": [
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"term_id"
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],
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"columnsTo": [
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"id"
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],
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"onDelete": "cascade",
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"onUpdate": "no action"
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}
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},
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"compositePrimaryKeys": {},
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"uniqueConstraints": {
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"unique_term_gloss": {
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"name": "unique_term_gloss",
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"nullsNotDistinct": false,
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"columns": [
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"term_id",
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"language_code",
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"text"
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]
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}
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},
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"policies": {},
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"checkConstraints": {},
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||||||
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"isRLSEnabled": false
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},
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"public.terms": {
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"name": "terms",
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"schema": "",
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"columns": {
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"id": {
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"name": "id",
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"type": "uuid",
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"primaryKey": true,
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"notNull": true,
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||||||
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"default": "gen_random_uuid()"
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},
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"synset_id": {
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"name": "synset_id",
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"type": "text",
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"primaryKey": false,
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"notNull": true
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},
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"pos": {
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"name": "pos",
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"type": "varchar(20)",
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"primaryKey": false,
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"notNull": true
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},
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"created_at": {
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"name": "created_at",
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"type": "timestamp with time zone",
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"primaryKey": false,
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"notNull": true,
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"default": "now()"
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}
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},
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"indexes": {
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"idx_terms_pos": {
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"name": "idx_terms_pos",
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"columns": [
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{
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"expression": "pos",
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"isExpression": false,
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||||||
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"asc": true,
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||||||
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"nulls": "last"
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||||||
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}
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],
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"isUnique": false,
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"concurrently": false,
|
||||||
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"method": "btree",
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||||||
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"with": {}
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||||||
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}
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||||||
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},
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"foreignKeys": {},
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||||||
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"compositePrimaryKeys": {},
|
||||||
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"uniqueConstraints": {
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||||||
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"terms_synset_id_unique": {
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||||||
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"name": "terms_synset_id_unique",
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||||||
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"nullsNotDistinct": false,
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"columns": [
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"synset_id"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"policies": {},
|
||||||
|
"checkConstraints": {
|
||||||
|
"pos_check": {
|
||||||
|
"name": "pos_check",
|
||||||
|
"value": "\"terms\".\"pos\" IN ('noun')"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"isRLSEnabled": false
|
||||||
|
},
|
||||||
|
"public.translations": {
|
||||||
|
"name": "translations",
|
||||||
|
"schema": "",
|
||||||
|
"columns": {
|
||||||
|
"id": {
|
||||||
|
"name": "id",
|
||||||
|
"type": "uuid",
|
||||||
|
"primaryKey": true,
|
||||||
|
"notNull": true,
|
||||||
|
"default": "gen_random_uuid()"
|
||||||
|
},
|
||||||
|
"term_id": {
|
||||||
|
"name": "term_id",
|
||||||
|
"type": "uuid",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": true
|
||||||
|
},
|
||||||
|
"language_code": {
|
||||||
|
"name": "language_code",
|
||||||
|
"type": "varchar(10)",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": true
|
||||||
|
},
|
||||||
|
"text": {
|
||||||
|
"name": "text",
|
||||||
|
"type": "text",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": true
|
||||||
|
},
|
||||||
|
"created_at": {
|
||||||
|
"name": "created_at",
|
||||||
|
"type": "timestamp with time zone",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": true,
|
||||||
|
"default": "now()"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"indexes": {
|
||||||
|
"idx_translations_lang": {
|
||||||
|
"name": "idx_translations_lang",
|
||||||
|
"columns": [
|
||||||
|
{
|
||||||
|
"expression": "language_code",
|
||||||
|
"isExpression": false,
|
||||||
|
"asc": true,
|
||||||
|
"nulls": "last"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"expression": "term_id",
|
||||||
|
"isExpression": false,
|
||||||
|
"asc": true,
|
||||||
|
"nulls": "last"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"isUnique": false,
|
||||||
|
"concurrently": false,
|
||||||
|
"method": "btree",
|
||||||
|
"with": {}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"foreignKeys": {
|
||||||
|
"translations_term_id_terms_id_fk": {
|
||||||
|
"name": "translations_term_id_terms_id_fk",
|
||||||
|
"tableFrom": "translations",
|
||||||
|
"tableTo": "terms",
|
||||||
|
"columnsFrom": [
|
||||||
|
"term_id"
|
||||||
|
],
|
||||||
|
"columnsTo": [
|
||||||
|
"id"
|
||||||
|
],
|
||||||
|
"onDelete": "cascade",
|
||||||
|
"onUpdate": "no action"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"compositePrimaryKeys": {},
|
||||||
|
"uniqueConstraints": {
|
||||||
|
"unique_translations": {
|
||||||
|
"name": "unique_translations",
|
||||||
|
"nullsNotDistinct": false,
|
||||||
|
"columns": [
|
||||||
|
"term_id",
|
||||||
|
"language_code",
|
||||||
|
"text"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"policies": {},
|
||||||
|
"checkConstraints": {},
|
||||||
|
"isRLSEnabled": false
|
||||||
|
},
|
||||||
|
"public.users": {
|
||||||
|
"name": "users",
|
||||||
|
"schema": "",
|
||||||
|
"columns": {
|
||||||
|
"id": {
|
||||||
|
"name": "id",
|
||||||
|
"type": "uuid",
|
||||||
|
"primaryKey": true,
|
||||||
|
"notNull": true,
|
||||||
|
"default": "gen_random_uuid()"
|
||||||
|
},
|
||||||
|
"openauth_sub": {
|
||||||
|
"name": "openauth_sub",
|
||||||
|
"type": "text",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": true
|
||||||
|
},
|
||||||
|
"email": {
|
||||||
|
"name": "email",
|
||||||
|
"type": "varchar(255)",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": false
|
||||||
|
},
|
||||||
|
"display_name": {
|
||||||
|
"name": "display_name",
|
||||||
|
"type": "varchar(100)",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": false
|
||||||
|
},
|
||||||
|
"created_at": {
|
||||||
|
"name": "created_at",
|
||||||
|
"type": "timestamp with time zone",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": true,
|
||||||
|
"default": "now()"
|
||||||
|
},
|
||||||
|
"last_login_at": {
|
||||||
|
"name": "last_login_at",
|
||||||
|
"type": "timestamp with time zone",
|
||||||
|
"primaryKey": false,
|
||||||
|
"notNull": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"indexes": {},
|
||||||
|
"foreignKeys": {},
|
||||||
|
"compositePrimaryKeys": {},
|
||||||
|
"uniqueConstraints": {
|
||||||
|
"users_openauth_sub_unique": {
|
||||||
|
"name": "users_openauth_sub_unique",
|
||||||
|
"nullsNotDistinct": false,
|
||||||
|
"columns": [
|
||||||
|
"openauth_sub"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"users_email_unique": {
|
||||||
|
"name": "users_email_unique",
|
||||||
|
"nullsNotDistinct": false,
|
||||||
|
"columns": [
|
||||||
|
"email"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"users_display_name_unique": {
|
||||||
|
"name": "users_display_name_unique",
|
||||||
|
"nullsNotDistinct": false,
|
||||||
|
"columns": [
|
||||||
|
"display_name"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"policies": {},
|
||||||
|
"checkConstraints": {},
|
||||||
|
"isRLSEnabled": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"enums": {},
|
||||||
|
"schemas": {},
|
||||||
|
"sequences": {},
|
||||||
|
"roles": {},
|
||||||
|
"policies": {},
|
||||||
|
"views": {},
|
||||||
|
"_meta": {
|
||||||
|
"columns": {},
|
||||||
|
"schemas": {},
|
||||||
|
"tables": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
@ -8,6 +8,13 @@
|
||||||
"when": 1774721919883,
|
"when": 1774721919883,
|
||||||
"tag": "0000_bitter_turbo",
|
"tag": "0000_bitter_turbo",
|
||||||
"breakpoints": true
|
"breakpoints": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"idx": 1,
|
||||||
|
"version": "7",
|
||||||
|
"when": 1774970553186,
|
||||||
|
"tag": "0001_medical_fabian_cortez",
|
||||||
|
"breakpoints": true
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
|
|
@ -5,6 +5,7 @@
|
||||||
"type": "module",
|
"type": "module",
|
||||||
"scripts": {
|
"scripts": {
|
||||||
"build": "tsc",
|
"build": "tsc",
|
||||||
|
"generate": "drizzle-kit generate",
|
||||||
"migrate": "drizzle-kit migrate"
|
"migrate": "drizzle-kit migrate"
|
||||||
},
|
},
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
|
|
|
||||||
|
|
@ -1,55 +0,0 @@
|
||||||
import fs from "node:fs/promises";
|
|
||||||
import { db } from "@glossa/db";
|
|
||||||
import { translations } from "@glossa/db/schema";
|
|
||||||
import { inArray } from "drizzle-orm";
|
|
||||||
|
|
||||||
const wordlistPath = "./src/data/wordlists/top1000englishnouns";
|
|
||||||
const unmatchedOutputPath =
|
|
||||||
"./src/data/wordlists/top1000englishnouns-unmatched";
|
|
||||||
|
|
||||||
const main = async () => {
|
|
||||||
// 1. Read and normalise the word list
|
|
||||||
console.log("📖 Reading word list...");
|
|
||||||
const raw = await fs.readFile(wordlistPath, "utf8");
|
|
||||||
const words = raw
|
|
||||||
.split("\n")
|
|
||||||
.map((w) => w.trim().toLowerCase())
|
|
||||||
.filter(Boolean);
|
|
||||||
console.log(` ${words.length} words loaded\n`);
|
|
||||||
|
|
||||||
// 2. Query DB for matches
|
|
||||||
console.log("🔍 Checking against database...");
|
|
||||||
const rows = await db
|
|
||||||
.select({ text: translations.text })
|
|
||||||
.from(translations)
|
|
||||||
.where(inArray(translations.text, words));
|
|
||||||
|
|
||||||
const matchedSet = new Set(rows.map((r) => r.text.toLowerCase()));
|
|
||||||
|
|
||||||
// 3. Split into matched / unmatched
|
|
||||||
const matched = words.filter((w) => matchedSet.has(w));
|
|
||||||
const unmatched = words.filter((w) => !matchedSet.has(w));
|
|
||||||
|
|
||||||
// 4. Terminal output
|
|
||||||
console.log(`✅ Matched: ${matched.length}/${words.length}`);
|
|
||||||
console.log(`❌ Unmatched: ${unmatched.length}/${words.length}`);
|
|
||||||
console.log(
|
|
||||||
`📊 Coverage: ${((matched.length / words.length) * 100).toFixed(1)}%\n`,
|
|
||||||
);
|
|
||||||
|
|
||||||
if (unmatched.length > 0) {
|
|
||||||
console.log("❌ Unmatched words:");
|
|
||||||
for (const w of unmatched) {
|
|
||||||
console.log(` ${w}`);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
// 5. Write unmatched to file
|
|
||||||
// await fs.writeFile(unmatchedOutputPath, unmatched.join("\n"), "utf8");
|
|
||||||
console.log(`\n💾 Unmatched words written to ${unmatchedOutputPath}`);
|
|
||||||
};
|
|
||||||
|
|
||||||
main().catch((error) => {
|
|
||||||
console.error(error);
|
|
||||||
process.exit(1);
|
|
||||||
});
|
|
||||||
|
|
@ -1,46 +1,77 @@
|
||||||
/*
|
/*
|
||||||
Parse CLI args → resolve the word list file path
|
- [x] Setup — hardcoded path, name, description, source language, POS
|
||||||
Connect to the database
|
- [x] Read wordlist — load the 1000 nouns
|
||||||
Read the word list file into an ordered array of strings
|
- [x] Query terms — match to database, find which ones have translations
|
||||||
Look up the en→it language pair ID from language_pairs
|
- [ ] Validation — determine validated languages from the data (e.g., ["en", "it"] if all matched terms have both)
|
||||||
Batch-fetch all matching rows from translations where language_code = 'en' and text IN (words)
|
- [ ] Check idempotency — skip if deck exists
|
||||||
Build a word → termId map from the results
|
- [ ] Create deck — insert with discovered validated_for_languages
|
||||||
Walk the ordered word list → split into hits (word found, capture position) and misses (skip)
|
- [ ] Link terms — insert deck_terms
|
||||||
Check if a deck with this name already exists → if so, delete its deck_terms then the deck itself
|
- [ ] Report — summary
|
||||||
Insert the new decks row
|
|
||||||
Insert all deck_terms rows in batches (deckId, termId, position)
|
|
||||||
Log the skipped words
|
|
||||||
Close the DB connection
|
|
||||||
*/
|
*/
|
||||||
|
|
||||||
import fs from "node:fs/promises";
|
import fs from "node:fs/promises";
|
||||||
import { db } from "@glossa/db";
|
import { db } from "@glossa/db";
|
||||||
import { translations } from "@glossa/db/schema";
|
import { translations, terms } from "@glossa/db/schema";
|
||||||
import { inArray } from "drizzle-orm";
|
import { inArray, and, eq } from "drizzle-orm";
|
||||||
|
|
||||||
const wordlistPath = "./src/data/wordlists/top1000englishnouns";
|
const pathToWordlist = "./src/data/wordlists/top1000englishnouns";
|
||||||
|
const nameOfDeck = "top english nouns";
|
||||||
|
const descriptionOfDeck =
|
||||||
|
"Most frequently used English nouns for vocabulary practice";
|
||||||
|
const sourceLanguage = "en";
|
||||||
|
const sourcePOS = "noun";
|
||||||
|
|
||||||
const main = async () => {
|
const readingFromWordlist = async () => {
|
||||||
// Read and normalise the word list
|
const raw = await fs.readFile(pathToWordlist, "utf8");
|
||||||
console.log("📖 Reading word list...");
|
|
||||||
const raw = await fs.readFile(wordlistPath, "utf8");
|
|
||||||
const words = raw
|
const words = raw
|
||||||
.split("\n")
|
.split("\n")
|
||||||
.map((w) => w.trim().toLowerCase())
|
.map((w) => w.trim().toLowerCase())
|
||||||
.filter(Boolean);
|
.filter(Boolean);
|
||||||
console.log(` ${words.length} words loaded\n`);
|
return words;
|
||||||
|
};
|
||||||
|
|
||||||
// Query DB for matches
|
const checkingSourceWordsAgainstDB = async (words: string[]) => {
|
||||||
console.log("🔍 Checking against database...");
|
|
||||||
const rows = await db
|
const rows = await db
|
||||||
.select({ text: translations.text, termId: translations.term_id })
|
.select({ text: translations.text, termId: translations.term_id })
|
||||||
.from(translations)
|
.from(translations)
|
||||||
.where(inArray(translations.text, words));
|
.innerJoin(terms, eq(translations.term_id, terms.id))
|
||||||
|
.where(
|
||||||
|
and(
|
||||||
|
inArray(translations.text, words),
|
||||||
|
eq(translations.language_code, sourceLanguage),
|
||||||
|
eq(terms.pos, sourcePOS),
|
||||||
|
),
|
||||||
|
);
|
||||||
|
|
||||||
const matchedSet = new Set(rows.map((r) => r.text.toLowerCase()));
|
// map word text to term_id
|
||||||
const wordsInDb = words.filter((w) => matchedSet.has(w));
|
const wordToTermId = new Map<string, string>();
|
||||||
|
for (const row of rows) {
|
||||||
|
const word = row.text.toLowerCase();
|
||||||
|
if (!wordToTermId.has(word)) {
|
||||||
|
wordToTermId.set(word, row.termId);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
const termIds = Array.from(wordToTermId.values());
|
||||||
|
const missingWords = words.filter((w) => !wordToTermId.has(w));
|
||||||
|
|
||||||
console.log("wordsInDb: ", wordsInDb);
|
return { termIds, missingWords };
|
||||||
|
};
|
||||||
|
|
||||||
|
const writeMissingWordsToFile = async (words: string[]) => {};
|
||||||
|
|
||||||
|
const main = async () => {
|
||||||
|
// Read and normalise the word list
|
||||||
|
console.log("📖 Reading word list...");
|
||||||
|
const sourceWords = await readingFromWordlist();
|
||||||
|
console.log(` ${sourceWords.length} words loaded\n`);
|
||||||
|
// check if sourceWords exist in database
|
||||||
|
console.log("🔍 Checking against database...");
|
||||||
|
const { termIds, missingWords } =
|
||||||
|
await checkingSourceWordsAgainstDB(sourceWords);
|
||||||
|
console.log("words found in db: ", termIds.length);
|
||||||
|
console.log("words NOT found in db: ", missingWords.length);
|
||||||
|
// write missing words to file
|
||||||
|
await writeMissingWordsToFile(missingWords);
|
||||||
};
|
};
|
||||||
|
|
||||||
main().catch((error) => {
|
main().catch((error) => {
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue