const std = @import("std");
// In this example, we'll be mapping our object from JSON.
// For this very specific use case, zorm will handle assuming types to be tight and memory-bound.
const dumb_payload =
    \\{
    \\   "foo": "hello, world",
    \\   "bar": 420
    \\}
;
const zorm = @import("zorm");
// Objects are defined as a sort of "factory method." The inner argument is a comptime-known
// anonymous struct literal containing fields.
const Foo = zorm.Object(.{
    // (comptime T: type, data: ?FieldMetadata)
    // Fields can have a name, description and default value.
    zorm.Field(?[]const u8, .{ .name = "foo", .default = undefined }),
    zorm.Field(usize, .{ .name = "bar" })
});
pub fn main() !void {
    // With an object defined, we can now generate our own from our payload.
    // (comptime T: type, data: anytype)
    const myFoo: zorm.Object = try zorm.create(Foo, .{ .JsonString = dumb_payload });
    // Accessing data is now done through the newly created object.
    std.debug.print("{any}\n", .{myFoo.get("foo")});
}

pub fn main() !void {
    // We can build a date from a string, useful for defaults.
    const date = try zorm.Date.fromString("2002-07-23", .@"YYYY-MM-DD");
    // This is an ISO 8601 format, which zorm will intelligently determine
    const payload =
        \\{
        \\    "date": "1999-12-31"
        \\}
    ;
    const NewTable = try zorm.create(
        zorm.Object(.{
            // Default values must either be undefined or part of the type specified in the field,
            // as expected when working with structs.
            zorm.Field(?zorm.Date, .{ .name = "date", .default = date })
        }),
        .{ .JsonString = payload }
    );
    // 1999 will be returned instead of 2002.
    std.debug.print("{?}\n", .{NewTable.get("date").f_type.year});
}