How CIF schemas work ======== CIF representation (simplified): ```ts type Block = (name: string) => Category | undefined type Category = (name: string) => CIFField | undefined type CIFField = { rowCount: number, getNumber: (row) => number, getString: (row) => string } ``` This is obviously not strongly typed + the "fields" dont know what type they are. To solve this, we create a type to describe what a field contains and how to map it to a column (which is "typed"): ```ts type FieldSchema = { T: T /* remember the type */, createColumn: CIFField => Column } ``` where column is just a simple interface returns a value of ``T`` for a given row: ```ts type Column = { rowCount: number, get: (row: number) => T } ``` Category schema is just an object whose properties are all instances of "field schemas", its "shape" has the type: ```ts type CategorySchema = { [fieldName: string]: FieldSchema } ``` We can declare our first category "schema": ```ts const my_category = { num_field: { T: 0 as number, createColumn: f => ({ rowCount: f.rowCount, get: f.getNumber }) } str_field: { T: '' as string, createColumn: f => ({ rowCount: f.rowCount, get: f.getString }) } } ``` Notice that the type of ``my_category`` is not specified. Assigning it explictly would hide the actual property names which we do not want. Moreover, the names of the properties must match the names of the fields in the actual category (optionally, a field ``alias`` can be added to the field schema). Given a category schema, we need to construct a type that defines the typed category itself: ```ts type TypedCategory = { [F in keyof Schema]: Column } ``` In other words, the type ``TypedCategory`` has a property of type ``Column<_>`` for each property of the schema. ``Schema[F]['T']`` just says: extract the type of property called ``T`` from property ``F`` in ``Schema`` (see [mapped types in Typescript](https://www.typescriptlang.org/docs/handbook/advanced-types.html)). ``Schema extends CategorySchema`` says that all properties of ``Schema`` must be of type ``FieldSchema``. Finally, we just define a mapping, ``toTypedCategory``: ```ts function toTypedCategory(schema: Schema, category: Category): TypedCategory { const typedCategory: any = {}; for (const key in Object.keys(schema)) { // remember a category is just a function that assigns a Field to a name const field = category(key); typedCategory[key] = field ? schema[key].createFolumn(field) : UndefinedColumn(schema[key].T); // a column that always returns 0 or empty string depending on type } return typedCategory; } ``` This transforms the ''untyped'' ``Category`` to some typed category and gives us code-completion for CIF files: ```ts const typed = toTypedCategory(my_category, ...); typed.n /* shows code completion for num_field */ const num = typed.num_field.get(0); /* num has type number number */ ``` And that's all there is to it. Extending the types to the "block" level is left as an exercise to the reader. ---------------- **Note:** To create a type alias for a category defined this way we can do: ```ts type MyCategory = TypedCategory function makeMyTypedCategory(c: Category): MyCategory { return toTypedCategory(my_category, c); } ```