@bezoar/schema

Types and runtime validation for the bezoar contract. The validation uses zod schemas built from the contract.

Install

pnpm add @bezoar/schema

The contract

A definition declares the contract. @bezoar/kit builds one from the SQL of a database package. The definition is plain data and holds no SQL.

• enums maps each enum type of the database to its labels, in declaration order.
• queries maps each query name, such as events.list, to its statement.
• A statement has its slots and its columns. A statement with no column returns no rows: a write without RETURNING.
• A slot is a named parameter of the SQL. A column is a field of each row. Each has a name, a type, and a nullable flag. The slots are in position order: the slot at index i binds $i+1.
• A type is a scalar of the type table, an enum of the definition, or either with the [] suffix.
• tables maps each table and view of the database to its columns, by its bare name when the search path finds it and by schema.name otherwise. A table column has a name, a type, a nullable flag, and a generated flag: whether the database can fill it, through a default, an identity, or a generation expression. A table column of a type the type table does not have is unknown. A table has a kind: table, or view for one that is read and never written.
• roles maps each role of the database to the names of the queries it has the privileges to run, as the kit found them. The member is optional: a contract built before roles existed has none, and Role<D> is then never.

const contract = {
  enums: { event_day: ["sunday", "monday" /* … */] },
  queries: {
    "events.list": {
      slots: [
        { name: "day", type: "event_day", nullable: false },
        { name: "location", type: "text", nullable: true },
      ],
      columns: [
        { name: "id", type: "int4", nullable: false },
        { name: "title", type: "text", nullable: false },
        { name: "weeks", type: "int4[]", nullable: true },
      ],
    },
  },
  tables: {
    events: {
      kind: "table",
      columns: [
        { name: "id", type: "int4", nullable: false, generated: true },
        { name: "title", type: "text", nullable: false, generated: false },
        { name: "weeks", type: "int4[]", nullable: true, generated: false },
      ],
    },
  },
} as const satisfies Definition;

The types of the arguments and the rows derive from the definition. A required slot is a required member. A nullable slot is optional and also takes null. A nullable column also holds null.

type D = typeof contract;

Arguments<D, "events.list">; // { day: "sunday" | "monday" | …; location?: string | null }
Row<D, "events.list">; // { id: number; title: string; weeks: (number | null)[] | null }
Returns<D, "events.list">; // Row<D, "events.list">[]
Returns<D, "events.touch">; // number, for a query with no column
Database<D>; // { events: { id: Generated<number>; title: string; weeks: (number | null)[] | null } }
Role<D>; // the role names of the contract: "web" | "admin"
RoleQuery<D, "web">; // the queries the role may run: "events.list" | …

Database<D> is the type parameter of a kysely Kysely over the tables of the definition. A generated column is Generated, so an insert can leave it out. A column of a view is a ColumnType that selects and never inserts or updates. @bezoar/core builds the query builder of a service over this type.

The type table

One table maps each Postgres type to its JavaScript form. Scalars declares the type the kit emits. TABLE holds the zod schema for each, and the compiler holds the two to each other.

An enum is z.enum over its labels. An array is z.array of its element, with a null element allowed, since Postgres allows one. Postgres does not type the dimensions of an array, so the schema of an array is one-dimensional.

A driver parses the text of Postgres to these types. A time without a zone has no instant, so the temporal types other than timestamptz stay strings.

defineSchema

defineSchema(definition) returns a Schema<D>. The schema validates untrusted data against the vocabulary of the definition. Data that passes is bound to the contract.

import { defineSchema } from "@bezoar/schema";

const schema = defineSchema(contract);

// Returns a boolean. The type of the value narrows on `true`.
if (!schema.check.query(name)) throw new Error("not a query");

// Throws a SchemaError that lists every issue.
schema.assert.arguments("events.list", await readBody(event));

// Throws on an invalid value. Returns the value with its narrowed type.
const row = schema.parse.row("events.list", candidate);

// Returns { success: true, data } or { success: false, issues }.
const result = schema.inspect.definition(candidate);

The function checks the definition before it reads it. An invalid definition throws when you call defineSchema.

The Schema<D> has these members:

• base is the definition.
• validators holds the zod schemas: definition, query, bundle, and for each query under queries its arguments and its row. Use them where a zod schema is wanted, such as a route handler. z.infer of a schema is the type the service uses.
• check has one boolean predicate for each kind.
• assert has one assertion for each kind. A failed assertion throws a SchemaError that holds every Issue.
• parse asserts a value and returns it with the type of its kind.
• inspect returns a Result for each kind.

Kinds

Each member of check, assert, parse, and inspect validates one kind. A kind of a query takes the query name first.

• definition is a complete definition.
• query is a query name of the contract.
• bundle is the SQL bundle: the text of every query of the contract, by name, and no other.
• arguments(query, value) is an object with a member for each slot of the query. A required slot must be present and not null. A nullable slot can be absent, null, or a value. A key the query does not name is an issue.
• row(query, value) is an object with a member for each column of the query and no other. A nullable column holds a value or null.

schema.assert.arguments("events.list", { day: "sunday" }); // passes
schema.assert.arguments("events.list", { day: "someday" }); // SchemaError: day: Invalid option …
schema.check.row("events.list", await res.json()); // true when the row fits the columns

Types

• Definition is the contract. Statement, Slot, Column, Table, TableColumn, and TableKind are its parts.
• Query<D>, Enum<D>, and Label<D, E> are names from a definition. RowQuery<D> is the name of a query with a column. Type<D> is a type name the definition can express.
• Scalars maps each scalar to its JavaScript type. Scalar is the union of its keys. Value<D, T> is the JavaScript type for a type name.
• Arguments<D, Q>, Row<D, Q>, and Returns<D, Q> are the shapes of a call of the query Q. Returns is the rows of a query with a column and the count of one without.
• Database<D> is the tables of a definition as kysely types them.
• Bundle<D> is the SQL bundle of a contract.
• Validators<D> is the shape of the zod schemas.
• Schema<D> is the bundle that defineSchema returns. Check<D>, Assert<D>, Parse<D>, and Inspect<D> are its families of functions.
• Result<V> is the outcome of inspect.
• Issue is a validation failure, as zod reports it.
• SchemaError is the error that assert and parse throw. It holds the Issue list.

Related

• @bezoar/core is the runtime service that uses this schema.
• @bezoar/kit builds a definition from SQL.