extends 'res://tests/unitbase.gd'

func test_single_matches_type() -> void:
	# Init CORE
	load_framework()
	
	for data in [ "Test!", 666.69, Node.new() ]:
		var single: CoreValidationSingle = core.validation.get_single(data, self)
		
		# Ignore that integer enum cast warning.
		# Our code is not the issues, Godot's is.
		# typeof() returns an int instead of Variant.Type,
		# which produces a warning. It is valid though.
		if !await single.matches_type([typeof(data)]).evaluate():
			rerror(type_string(typeof(data)) + " test failed: " + str(single.failures))
	
	rok()

func test_single_matches_class() -> void:
	# Init CORE
	load_framework()
	
	var single: CoreValidationSingle = null
	
	# exact=false test
	for data in [ Node.new(), RichTextLabel.new(), NinePatchRect.new() ]:
		single = core.validation.get_single(data, self)
		
		if !await single.matches_class(data.get_class(), false).evaluate():
			rerror(data.get_class() + " test failed: " + str(single.failures))
	
	# exact=true test
	single = core.validation.get_single(Button.new(), self)
	if await single.matches_class("Control", true).evaluate():
		rerror("Exact Control test failed: " + str(single.failures))
	
	rok()

func test_in_range_correct() -> void:
	await _in_range_processor({ 600: Vector2i(505, 666), 4.0: Vector2(PI, TAU) }, true)

func test_in_range_incorrect() -> void:
	await _in_range_processor({ -5: Vector2i(1, 5), 999999.0: Vector2(7827.551, 612844.11) }, false)

func _in_range_processor(test_data: Dictionary, correct: bool) -> void:
	# Define variables
	var fail: bool = false
	var type: String = "correct" if correct else "incorrect"
	var single: CoreValidationSingle = null
	var item: int = -1
	
	# Init CORE
	load_framework()
	
	for data in test_data:
		item += 1  # Increase item count, useful for debugging
		single = core.validation.get_single(data, self)
		
		# Add rule depending on type
		match(typeof(data)):
			Variant.Type.TYPE_INT: single.in_range_int(test_data[data].x, test_data[data].y)
			Variant.Type.TYPE_FLOAT: single.in_range_float(test_data[data].x, test_data[data].y)
			_: await lcrash("Invalid data type " + type_string(typeof(data)) + "for " + type + " in_range test for item " + str(item))
		
		# Evaluate rules
		var result: bool = await single.evaluate()
		
		# Check if rule got correctly evaluated
		# 'result' | 'correct' | fail?
		# TRUE     | TRUE      | FAIL
		# FALSE    | TRUE      | PASS
		# FALSE    | FALSE     | FAIL
		# TRUE     | FALSE     | PASS
		if (!result and correct) or (result and !correct):
			rerror("in_range test (" + type + ") for item " + str(item) + " failed (result=" + str(result) + "): " + str(single.failures))
			fail = true  # Mark test as failed, prevents test_status overwrites
		elif !fail: rok()  # Pass test if !fail

func test_has_minimum_correct() -> void:
	await _has_minimum_processor({ 5: 1, 5.21: 1.64 }, true)

func test_has_minimum_incorrect() -> void:
	await _has_minimum_processor({ 61: 69, 1.64: 5.21 }, false)

func _has_minimum_processor(test_data: Dictionary, correct: bool) -> void:
	# Define variables
	var fail: bool = false
	var type: String = "correct" if correct else "incorrect"
	var single: CoreValidationSingle = null
	var item: int = -1
	
	# Init CORE
	load_framework()
	
	for data in test_data:
		item += 1  # Increase item count, useful for debugging
		single = core.validation.get_single(data, self)
		
		# Add rule depending on type
		match(typeof(data)):
			Variant.Type.TYPE_INT: single.has_minimum_int(test_data[data])
			Variant.Type.TYPE_FLOAT: single.has_minimum_float(test_data[data])
			_: await lcrash("Invalid data type " + type_string(typeof(data)) + "for " + type + " has_minimum test for item " + str(item))
		
		# Evaluate rules
		var result: bool = await single.evaluate()
		
		# Check if rule got correctly evaluated
		# 'result' | 'correct' | fail?
		# TRUE     | TRUE      | FAIL
		# FALSE    | TRUE      | PASS
		# FALSE    | FALSE     | FAIL
		# TRUE     | FALSE     | PASS
		if (!result and correct) or (result and !correct):
			rerror("has_minimum test (" + type + ") for item " + str(item) + " failed (result=" + str(result) + "): " + str(single.failures))
			fail = true  # Mark test as failed, prevents test_status overwrites
		elif !fail: rok()  # Pass test if !fail

func test_has_maximum_correct() -> void:
	await _has_maximum_processor({ 61: 69, 1.64: 5.21 }, true)

func test_has_maximum_incorrect() -> void:
	await _has_maximum_processor({ 5: 1, 5.21: 1.64 }, false)

func _has_maximum_processor(test_data: Dictionary, correct: bool) -> void:
	# Define variables
	var fail: bool = false
	var type: String = "correct" if correct else "incorrect"
	var single: CoreValidationSingle = null
	var item: int = -1
	
	# Init CORE
	load_framework()
	
	for data in test_data:
		item += 1  # Increase item count, useful for debugging
		single = core.validation.get_single(data, self)
		
		# Add rule depending on type
		match(typeof(data)):
			Variant.Type.TYPE_INT: single.has_maximum_int(test_data[data])
			Variant.Type.TYPE_FLOAT: single.has_maximum_float(test_data[data])
			_: await lcrash("Invalid data type " + type_string(typeof(data)) + "for " + type + " has_maximum test for item " + str(item))
		
		# Evaluate rules
		var result: bool = await single.evaluate()
		
		# Check if rule got correctly evaluated
		# 'result' | 'correct' | fail?
		# TRUE     | TRUE      | FAIL
		# FALSE    | TRUE      | PASS
		# FALSE    | FALSE     | FAIL
		# TRUE     | FALSE     | PASS
		if (!result and correct) or (result and !correct):
			rerror("has_maximum test (" + type + ") for item " + str(item) + " failed (result=" + str(result) + "): " + str(single.failures))
			fail = true  # Mark test as failed, prevents test_status overwrites
		elif !fail: rok()  # Pass test if !fail