dodb.cr/spec/db-cars.cr

# This file contains all the necessary code to perform tests based on the following Car database.

require "json"
require "../src/dodb.cr"
require "./spec-database.cr"

class Car
	include JSON::Serializable

	property name     : String # unique to each instance (1-1 relations)
	property color    : String        | DODB::NoIndex # a simple attribute (1-n relations)
	property keywords : Array(String) | DODB::NoIndex # tags about a car, example: "shiny" (n-n relations)

	def_clone

	def initialize(@name, @color, @keywords)
	end
	class_getter cars = [
		Car.new("Corvet",    "red",    [ "shiny", "impressive", "fast", "elegant" ]),
		Car.new("SUV",       "red",    [ "solid", "impressive" ]),
		Car.new("Mustang",   "red",    [ "shiny", "impressive", "elegant" ]),
		Car.new("Bullet-GT", "red",    [ "shiny", "impressive", "fast", "elegant" ]),
		Car.new("GTI",       "blue",   [ "average" ]),
		Car.new("Deudeuch",  "violet", [ "dirty", "slow", "only French will understand" ])
	]

	# Equality is true if every property is identical.
	def ==(other)
		@name == other.name && @color == other.color && @keywords == other.keywords
	end
end

def ram_indexes(storage : DODB::Storage)
	n = storage.new_nilable_RAM_index "name", &.name
	c = storage.new_nilable_RAM_partition "color", &.color
	k = storage.new_nilable_RAM_tags "keyword", &.keywords
	return n, c, k
end

def cached_indexes(storage : DODB::Storage)
	n = storage.new_nilable_index "name", &.name
	c = storage.new_nilable_partition "color", &.color
	k = storage.new_nilable_tags "keyword", &.keywords
	return n, c, k
end

def uncached_indexes(storage : DODB::Storage)
	n = storage.new_nilable_uncached_index "name", &.name
	c = storage.new_nilable_uncached_partition "color", &.color
	k = storage.new_nilable_uncached_tags "keyword", &.keywords
	return n, c, k
end

def add_cars(storage : DODB::Storage, nb_iterations : Int32, from = 0, max_it_tags = 5000)
	i = from
	car1 = Car.new "Corvet", "red", [ "shiny", "impressive", "fast", "elegant" ]
	car2 = Car.new "Bullet-GT", "blue", [ "shiny", "fast", "expensive" ]
	car3 = Car.new "Deudeuche", "beige", [ "curvy", "sublime" ]
	car4 = Car.new "Ford-5", "red", [ "unknown" ]
	car5 = Car.new "C-MAX", "gray", [ "spacious", "affordable" ]

	while i < nb_iterations
		car1.name = "Corvet-#{i}"
		car2.name = "Bullet-GT-#{i}"
		car3.name = "Deudeuche-#{i}"
		car4.name = "Ford-5-#{i}"
		car5.name = "C-MAX-#{i}"

		if i >= max_it_tags
			car1.color = DODB.no_index
			car2.color = DODB.no_index
			car3.color = DODB.no_index
			car4.color = DODB.no_index
			car5.color = DODB.no_index

			car1.keywords = DODB.no_index
			car2.keywords = DODB.no_index
			car3.keywords = DODB.no_index
			car4.keywords = DODB.no_index
			car5.keywords = DODB.no_index
		end

		storage << car1.clone
		storage << car2.clone
		storage << car3.clone
		storage << car4.clone
		storage << car5.clone
		i += 1
		#STDOUT.write "\radding value #{i}".to_slice
	end
	#puts ""
end