import json import math import typing from typing import Dict, List, Set, Tuple, Union import pytest from pandas import DataFrame from reflex.base import Base from reflex.constants.base import REFLEX_VAR_CLOSING_TAG, REFLEX_VAR_OPENING_TAG from reflex.ivars.base import ( ImmutableVar, LiteralVar, var_operation, var_operation_return, ) from reflex.ivars.function import ArgsFunctionOperation, FunctionStringVar from reflex.ivars.number import ( LiteralBooleanVar, LiteralNumberVar, NumberVar, ) from reflex.ivars.object import LiteralObjectVar from reflex.ivars.sequence import ( ArrayVar, ConcatVarOperation, LiteralArrayVar, LiteralStringVar, ) from reflex.state import BaseState from reflex.utils.imports import ImportVar from reflex.vars import ( BaseVar, ComputedVar, ImmutableVarData, Var, VarData, computed_var, ) test_vars = [ BaseVar(_var_name="prop1", _var_type=int), BaseVar(_var_name="key", _var_type=str), BaseVar(_var_name="value", _var_type=str)._var_set_state("state"), BaseVar(_var_name="local", _var_type=str, _var_is_local=True)._var_set_state( "state" ), BaseVar(_var_name="local2", _var_type=str, _var_is_local=True), ] class ATestState(BaseState): """Test state.""" value: str dict_val: Dict[str, List] = {} @pytest.fixture def TestObj(): class TestObj(Base): foo: int bar: str return TestObj @pytest.fixture def ParentState(TestObj): class ParentState(BaseState): foo: int bar: int @computed_var def var_without_annotation(self): return TestObj return ParentState @pytest.fixture def ChildState(ParentState, TestObj): class ChildState(ParentState): @computed_var def var_without_annotation(self): return TestObj return ChildState @pytest.fixture def GrandChildState(ChildState, TestObj): class GrandChildState(ChildState): @computed_var def var_without_annotation(self): return TestObj return GrandChildState @pytest.fixture def StateWithAnyVar(TestObj): class StateWithAnyVar(BaseState): @computed_var def var_without_annotation(self) -> typing.Any: return TestObj return StateWithAnyVar @pytest.fixture def StateWithCorrectVarAnnotation(): class StateWithCorrectVarAnnotation(BaseState): @computed_var def var_with_annotation(self) -> str: return "Correct annotation" return StateWithCorrectVarAnnotation @pytest.fixture def StateWithWrongVarAnnotation(TestObj): class StateWithWrongVarAnnotation(BaseState): @computed_var def var_with_annotation(self) -> str: return TestObj return StateWithWrongVarAnnotation @pytest.fixture def StateWithInitialComputedVar(): class StateWithInitialComputedVar(BaseState): @computed_var(initial_value="Initial value") def var_with_initial_value(self) -> str: return "Runtime value" return StateWithInitialComputedVar @pytest.fixture def ChildWithInitialComputedVar(StateWithInitialComputedVar): class ChildWithInitialComputedVar(StateWithInitialComputedVar): @computed_var(initial_value="Initial value") def var_with_initial_value_child(self) -> str: return "Runtime value" return ChildWithInitialComputedVar @pytest.fixture def StateWithRuntimeOnlyVar(): class StateWithRuntimeOnlyVar(BaseState): @computed_var(initial_value=None) def var_raises_at_runtime(self) -> str: raise ValueError("So nicht, mein Freund") return StateWithRuntimeOnlyVar @pytest.fixture def ChildWithRuntimeOnlyVar(StateWithRuntimeOnlyVar): class ChildWithRuntimeOnlyVar(StateWithRuntimeOnlyVar): @computed_var(initial_value="Initial value") def var_raises_at_runtime_child(self) -> str: raise ValueError("So nicht, mein Freund") return ChildWithRuntimeOnlyVar @pytest.mark.parametrize( "prop,expected", zip( test_vars, [ "prop1", "key", "state.value", "state.local", "local2", ], ), ) def test_full_name(prop, expected): """Test that the full name of a var is correct. Args: prop: The var to test. expected: The expected full name. """ assert prop._var_full_name == expected @pytest.mark.parametrize( "prop,expected", zip( test_vars, ["{prop1}", "{key}", "{state.value}", "state.local", "local2"], ), ) def test_str(prop, expected): """Test that the string representation of a var is correct. Args: prop: The var to test. expected: The expected string representation. """ assert str(prop) == expected @pytest.mark.parametrize( "prop,expected", [ (BaseVar(_var_name="p", _var_type=int), 0), (BaseVar(_var_name="p", _var_type=float), 0.0), (BaseVar(_var_name="p", _var_type=str), ""), (BaseVar(_var_name="p", _var_type=bool), False), (BaseVar(_var_name="p", _var_type=list), []), (BaseVar(_var_name="p", _var_type=dict), {}), (BaseVar(_var_name="p", _var_type=tuple), ()), (BaseVar(_var_name="p", _var_type=set), set()), ], ) def test_default_value(prop, expected): """Test that the default value of a var is correct. Args: prop: The var to test. expected: The expected default value. """ assert prop.get_default_value() == expected @pytest.mark.parametrize( "prop,expected", zip( test_vars, [ "set_prop1", "set_key", "state.set_value", "state.set_local", "set_local2", ], ), ) def test_get_setter(prop, expected): """Test that the name of the setter function of a var is correct. Args: prop: The var to test. expected: The expected name of the setter function. """ assert prop.get_setter_name() == expected @pytest.mark.parametrize( "value,expected", [ (None, None), (1, BaseVar(_var_name="1", _var_type=int, _var_is_local=True)), ("key", BaseVar(_var_name="key", _var_type=str, _var_is_local=True)), (3.14, BaseVar(_var_name="3.14", _var_type=float, _var_is_local=True)), ([1, 2, 3], BaseVar(_var_name="[1, 2, 3]", _var_type=list, _var_is_local=True)), ( {"a": 1, "b": 2}, BaseVar(_var_name='{"a": 1, "b": 2}', _var_type=dict, _var_is_local=True), ), ], ) def test_create(value, expected): """Test the var create function. Args: value: The value to create a var from. expected: The expected name of the setter function. """ prop = Var.create(value) if value is None: assert prop == expected else: assert prop.equals(expected) # type: ignore def test_create_type_error(): """Test the var create function when inputs type error.""" class ErrorType: pass value = ErrorType() with pytest.raises(TypeError): Var.create(value) def v(value) -> Var: val = ( Var.create(json.dumps(value), _var_is_string=True, _var_is_local=False) if isinstance(value, str) else Var.create(value, _var_is_local=False) ) assert val is not None return val def test_basic_operations(TestObj): """Test the var operations. Args: TestObj: The test object. """ assert str(v(1) == v(2)) == "{((1) === (2))}" assert str(v(1) != v(2)) == "{((1) !== (2))}" assert str(v(1) < v(2)) == "{((1) < (2))}" assert str(v(1) <= v(2)) == "{((1) <= (2))}" assert str(v(1) > v(2)) == "{((1) > (2))}" assert str(v(1) >= v(2)) == "{((1) >= (2))}" assert str(v(1) + v(2)) == "{((1) + (2))}" assert str(v(1) - v(2)) == "{((1) - (2))}" assert str(v(1) * v(2)) == "{((1) * (2))}" assert str(v(1) / v(2)) == "{((1) / (2))}" assert str(v(1) // v(2)) == "{Math.floor((1) / (2))}" assert str(v(1) % v(2)) == "{((1) % (2))}" assert str(v(1) ** v(2)) == "{Math.pow((1) , (2))}" assert str(v(1) & v(2)) == "{((1) && (2))}" assert str(v(1) | v(2)) == "{((1) || (2))}" assert str(v([1, 2, 3])[v(0)]) == "{[1, 2, 3].at(0)}" assert str(v({"a": 1, "b": 2})["a"]) == '{{"a": 1, "b": 2}["a"]}' assert str(v("foo") == v("bar")) == '{(("foo") === ("bar"))}' assert ( str( Var.create("foo", _var_is_local=False) == Var.create("bar", _var_is_local=False) ) == "{((foo) === (bar))}" ) assert ( str( BaseVar( _var_name="foo", _var_type=str, _var_is_string=True, _var_is_local=True ) == BaseVar( _var_name="bar", _var_type=str, _var_is_string=True, _var_is_local=True ) ) == "((`foo`) === (`bar`))" ) assert ( str( BaseVar( _var_name="foo", _var_type=TestObj, _var_is_string=True, _var_is_local=False, ) ._var_set_state("state") .bar == BaseVar( _var_name="bar", _var_type=str, _var_is_string=True, _var_is_local=True ) ) == "{((state.foo.bar) === (`bar`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=TestObj)._var_set_state("state").bar) == "{state.foo.bar}" ) assert str(abs(v(1))) == "{Math.abs(1)}" assert str(v([1, 2, 3]).length()) == "{[1, 2, 3].length}" assert str(v([1, 2]) + v([3, 4])) == "{spreadArraysOrObjects(([1, 2]) , ([3, 4]))}" # Tests for reverse operation assert str(v([1, 2, 3]).reverse()) == "{[...[1, 2, 3]].reverse()}" assert str(v(["1", "2", "3"]).reverse()) == '{[...["1", "2", "3"]].reverse()}' assert ( str(BaseVar(_var_name="foo", _var_type=list)._var_set_state("state").reverse()) == "{[...state.foo].reverse()}" ) assert ( str(BaseVar(_var_name="foo", _var_type=list).reverse()) == "{[...foo].reverse()}" ) assert str(BaseVar(_var_name="foo", _var_type=str)._type()) == "{typeof foo}" # type: ignore assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() == str) # type: ignore == "{((typeof foo) === (`string`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() == str) # type: ignore == "{((typeof foo) === (`string`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() == int) # type: ignore == "{((typeof foo) === (`number`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() == list) # type: ignore == "{((typeof foo) === (`Array`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() == float) # type: ignore == "{((typeof foo) === (`number`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() == tuple) # type: ignore == "{((typeof foo) === (`Array`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() == dict) # type: ignore == "{((typeof foo) === (`Object`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() != str) # type: ignore == "{((typeof foo) !== (`string`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() != int) # type: ignore == "{((typeof foo) !== (`number`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() != list) # type: ignore == "{((typeof foo) !== (`Array`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() != float) # type: ignore == "{((typeof foo) !== (`number`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() != tuple) # type: ignore == "{((typeof foo) !== (`Array`))}" ) assert ( str(BaseVar(_var_name="foo", _var_type=str)._type() != dict) # type: ignore == "{((typeof foo) !== (`Object`))}" ) @pytest.mark.parametrize( "var, expected", [ (v([1, 2, 3]), "[1, 2, 3]"), (v(set([1, 2, 3])), "[1, 2, 3]"), (v(["1", "2", "3"]), '["1", "2", "3"]'), (BaseVar(_var_name="foo", _var_type=list)._var_set_state("state"), "state.foo"), (BaseVar(_var_name="foo", _var_type=list), "foo"), (v((1, 2, 3)), "[1, 2, 3]"), (v(("1", "2", "3")), '["1", "2", "3"]'), ( BaseVar(_var_name="foo", _var_type=tuple)._var_set_state("state"), "state.foo", ), (BaseVar(_var_name="foo", _var_type=tuple), "foo"), ], ) def test_list_tuple_contains(var, expected): assert str(var.contains(1)) == f"{{{expected}.includes(1)}}" assert str(var.contains("1")) == f'{{{expected}.includes("1")}}' assert str(var.contains(v(1))) == f"{{{expected}.includes(1)}}" assert str(var.contains(v("1"))) == f'{{{expected}.includes("1")}}' other_state_var = BaseVar(_var_name="other", _var_type=str)._var_set_state("state") other_var = BaseVar(_var_name="other", _var_type=str) assert str(var.contains(other_state_var)) == f"{{{expected}.includes(state.other)}}" assert str(var.contains(other_var)) == f"{{{expected}.includes(other)}}" @pytest.mark.parametrize( "var, expected", [ (v("123"), json.dumps("123")), (BaseVar(_var_name="foo", _var_type=str)._var_set_state("state"), "state.foo"), (BaseVar(_var_name="foo", _var_type=str), "foo"), ], ) def test_str_contains(var, expected): assert str(var.contains("1")) == f'{{{expected}.includes("1")}}' assert str(var.contains(v("1"))) == f'{{{expected}.includes("1")}}' other_state_var = BaseVar(_var_name="other", _var_type=str)._var_set_state("state") other_var = BaseVar(_var_name="other", _var_type=str) assert str(var.contains(other_state_var)) == f"{{{expected}.includes(state.other)}}" assert str(var.contains(other_var)) == f"{{{expected}.includes(other)}}" assert ( str(var.contains("1", "hello")) == f'{{{expected}.some(e=>e[`hello`]==="1")}}' ) @pytest.mark.parametrize( "var, expected", [ (v({"a": 1, "b": 2}), '{"a": 1, "b": 2}'), (BaseVar(_var_name="foo", _var_type=dict)._var_set_state("state"), "state.foo"), (BaseVar(_var_name="foo", _var_type=dict), "foo"), ], ) def test_dict_contains(var, expected): assert str(var.contains(1)) == f"{{{expected}.hasOwnProperty(1)}}" assert str(var.contains("1")) == f'{{{expected}.hasOwnProperty("1")}}' assert str(var.contains(v(1))) == f"{{{expected}.hasOwnProperty(1)}}" assert str(var.contains(v("1"))) == f'{{{expected}.hasOwnProperty("1")}}' other_state_var = BaseVar(_var_name="other", _var_type=str)._var_set_state("state") other_var = BaseVar(_var_name="other", _var_type=str) assert ( str(var.contains(other_state_var)) == f"{{{expected}.hasOwnProperty(state.other)}}" ) assert str(var.contains(other_var)) == f"{{{expected}.hasOwnProperty(other)}}" @pytest.mark.parametrize( "var", [ BaseVar(_var_name="list", _var_type=List[int]), BaseVar(_var_name="tuple", _var_type=Tuple[int, int]), BaseVar(_var_name="str", _var_type=str), ], ) def test_var_indexing_lists(var): """Test that we can index into str, list or tuple vars. Args: var : The str, list or tuple base var. """ # Test basic indexing. assert str(var[0]) == f"{{{var._var_name}.at(0)}}" assert str(var[1]) == f"{{{var._var_name}.at(1)}}" # Test negative indexing. assert str(var[-1]) == f"{{{var._var_name}.at(-1)}}" @pytest.mark.parametrize( "var, type_", [ (BaseVar(_var_name="list", _var_type=List[int]), [int, int]), (BaseVar(_var_name="tuple", _var_type=Tuple[int, str]), [int, str]), ], ) def test_var_indexing_types(var, type_): """Test that indexing returns valid types. Args: var : The list, typle base var. type_ : The type on indexed object. """ assert var[2]._var_type == type_[0] assert var[3]._var_type == type_[1] def test_var_indexing_str(): """Test that we can index into str vars.""" str_var = BaseVar(_var_name="str", _var_type=str) # Test that indexing gives a type of Var[str]. assert isinstance(str_var[0], Var) assert str_var[0]._var_type == str # Test basic indexing. assert str(str_var[0]) == "{str.at(0)}" assert str(str_var[1]) == "{str.at(1)}" # Test negative indexing. assert str(str_var[-1]) == "{str.at(-1)}" @pytest.mark.parametrize( "var", [ (BaseVar(_var_name="foo", _var_type=int)), (BaseVar(_var_name="bar", _var_type=float)), ], ) def test_var_replace_with_invalid_kwargs(var): with pytest.raises(TypeError) as excinfo: var._replace(_this_should_fail=True) assert "Unexpected keyword arguments" in str(excinfo.value) def test_computed_var_replace_with_invalid_kwargs(): @computed_var(initial_value=1) def test_var(state) -> int: return 1 with pytest.raises(TypeError) as excinfo: test_var._replace(_random_kwarg=True) assert "Unexpected keyword arguments" in str(excinfo.value) @pytest.mark.parametrize( "var, index", [ (BaseVar(_var_name="lst", _var_type=List[int]), [1, 2]), (BaseVar(_var_name="lst", _var_type=List[int]), {"name": "dict"}), (BaseVar(_var_name="lst", _var_type=List[int]), {"set"}), ( BaseVar(_var_name="lst", _var_type=List[int]), ( 1, 2, ), ), (BaseVar(_var_name="lst", _var_type=List[int]), 1.5), (BaseVar(_var_name="lst", _var_type=List[int]), "str"), ( BaseVar(_var_name="lst", _var_type=List[int]), BaseVar(_var_name="string_var", _var_type=str), ), ( BaseVar(_var_name="lst", _var_type=List[int]), BaseVar(_var_name="float_var", _var_type=float), ), ( BaseVar(_var_name="lst", _var_type=List[int]), BaseVar(_var_name="list_var", _var_type=List[int]), ), ( BaseVar(_var_name="lst", _var_type=List[int]), BaseVar(_var_name="set_var", _var_type=Set[str]), ), ( BaseVar(_var_name="lst", _var_type=List[int]), BaseVar(_var_name="dict_var", _var_type=Dict[str, str]), ), (BaseVar(_var_name="str", _var_type=str), [1, 2]), (BaseVar(_var_name="lst", _var_type=str), {"name": "dict"}), (BaseVar(_var_name="lst", _var_type=str), {"set"}), ( BaseVar(_var_name="lst", _var_type=str), BaseVar(_var_name="string_var", _var_type=str), ), ( BaseVar(_var_name="lst", _var_type=str), BaseVar(_var_name="float_var", _var_type=float), ), (BaseVar(_var_name="str", _var_type=Tuple[str]), [1, 2]), (BaseVar(_var_name="lst", _var_type=Tuple[str]), {"name": "dict"}), (BaseVar(_var_name="lst", _var_type=Tuple[str]), {"set"}), ( BaseVar(_var_name="lst", _var_type=Tuple[str]), BaseVar(_var_name="string_var", _var_type=str), ), ( BaseVar(_var_name="lst", _var_type=Tuple[str]), BaseVar(_var_name="float_var", _var_type=float), ), ], ) def test_var_unsupported_indexing_lists(var, index): """Test unsupported indexing throws a type error. Args: var: The base var. index: The base var index. """ with pytest.raises(TypeError): var[index] @pytest.mark.parametrize( "var", [ BaseVar(_var_name="lst", _var_type=List[int]), BaseVar(_var_name="tuple", _var_type=Tuple[int, int]), BaseVar(_var_name="str", _var_type=str), ], ) def test_var_list_slicing(var): """Test that we can slice into str, list or tuple vars. Args: var : The str, list or tuple base var. """ assert str(var[:1]) == f"{{{var._var_name}.slice(0, 1)}}" assert str(var[:1]) == f"{{{var._var_name}.slice(0, 1)}}" assert str(var[:]) == f"{{{var._var_name}.slice(0, undefined)}}" def test_dict_indexing(): """Test that we can index into dict vars.""" dct = BaseVar(_var_name="dct", _var_type=Dict[str, int]) # Check correct indexing. assert str(dct["a"]) == '{dct["a"]}' assert str(dct["asdf"]) == '{dct["asdf"]}' @pytest.mark.parametrize( "var, index", [ ( BaseVar(_var_name="dict", _var_type=Dict[str, str]), [1, 2], ), ( BaseVar(_var_name="dict", _var_type=Dict[str, str]), {"name": "dict"}, ), ( BaseVar(_var_name="dict", _var_type=Dict[str, str]), {"set"}, ), ( BaseVar(_var_name="dict", _var_type=Dict[str, str]), ( 1, 2, ), ), ( BaseVar(_var_name="lst", _var_type=Dict[str, str]), BaseVar(_var_name="list_var", _var_type=List[int]), ), ( BaseVar(_var_name="lst", _var_type=Dict[str, str]), BaseVar(_var_name="set_var", _var_type=Set[str]), ), ( BaseVar(_var_name="lst", _var_type=Dict[str, str]), BaseVar(_var_name="dict_var", _var_type=Dict[str, str]), ), ( BaseVar(_var_name="df", _var_type=DataFrame), [1, 2], ), ( BaseVar(_var_name="df", _var_type=DataFrame), {"name": "dict"}, ), ( BaseVar(_var_name="df", _var_type=DataFrame), {"set"}, ), ( BaseVar(_var_name="df", _var_type=DataFrame), ( 1, 2, ), ), ( BaseVar(_var_name="df", _var_type=DataFrame), BaseVar(_var_name="list_var", _var_type=List[int]), ), ( BaseVar(_var_name="df", _var_type=DataFrame), BaseVar(_var_name="set_var", _var_type=Set[str]), ), ( BaseVar(_var_name="df", _var_type=DataFrame), BaseVar(_var_name="dict_var", _var_type=Dict[str, str]), ), ], ) def test_var_unsupported_indexing_dicts(var, index): """Test unsupported indexing throws a type error. Args: var: The base var. index: The base var index. """ with pytest.raises(TypeError): var[index] @pytest.mark.parametrize( "fixture", [ "ParentState", "ChildState", "GrandChildState", "StateWithAnyVar", ], ) def test_computed_var_without_annotation_error(request, fixture): """Test that a type error is thrown when an attribute of a computed var is accessed without annotating the computed var. Args: request: Fixture Request. fixture: The state fixture. """ with pytest.raises(TypeError) as err: state = request.getfixturevalue(fixture) state.var_without_annotation.foo full_name = state.var_without_annotation._var_full_name assert ( err.value.args[0] == f"You must provide an annotation for the state var `{full_name}`. Annotation cannot be `typing.Any`" ) @pytest.mark.parametrize( "fixture", [ "StateWithCorrectVarAnnotation", "StateWithWrongVarAnnotation", ], ) def test_computed_var_with_annotation_error(request, fixture): """Test that an Attribute error is thrown when a non-existent attribute of an annotated computed var is accessed or when the wrong annotation is provided to a computed var. Args: request: Fixture Request. fixture: The state fixture. """ with pytest.raises(AttributeError) as err: state = request.getfixturevalue(fixture) state.var_with_annotation.foo full_name = state.var_with_annotation._var_full_name assert ( err.value.args[0] == f"The State var `{full_name}` has no attribute 'foo' or may have been annotated wrongly." ) @pytest.mark.parametrize( "fixture,var_name,expected_initial,expected_runtime,raises_at_runtime", [ ( "StateWithInitialComputedVar", "var_with_initial_value", "Initial value", "Runtime value", False, ), ( "ChildWithInitialComputedVar", "var_with_initial_value_child", "Initial value", "Runtime value", False, ), ( "StateWithRuntimeOnlyVar", "var_raises_at_runtime", None, None, True, ), ( "ChildWithRuntimeOnlyVar", "var_raises_at_runtime_child", "Initial value", None, True, ), ], ) def test_state_with_initial_computed_var( request, fixture, var_name, expected_initial, expected_runtime, raises_at_runtime ): """Test that the initial and runtime values of a computed var are correct. Args: request: Fixture Request. fixture: The state fixture. var_name: The name of the computed var. expected_initial: The expected initial value of the computed var. expected_runtime: The expected runtime value of the computed var. raises_at_runtime: Whether the computed var is runtime only. """ state = request.getfixturevalue(fixture)() state_name = state.get_full_name() initial_dict = state.dict(initial=True)[state_name] assert initial_dict[var_name] == expected_initial if raises_at_runtime: with pytest.raises(ValueError): state.dict()[state_name][var_name] else: runtime_dict = state.dict()[state_name] assert runtime_dict[var_name] == expected_runtime def test_literal_var(): complicated_var = LiteralVar.create( [ {"a": 1, "b": 2, "c": {"d": 3, "e": 4}}, [1, 2, 3, 4], 9, "string", True, False, None, set([1, 2, 3]), ] ) assert ( str(complicated_var) == '[({ ["a"] : 1, ["b"] : 2, ["c"] : ({ ["d"] : 3, ["e"] : 4 }) }), [1, 2, 3, 4], 9, "string", true, false, null, [1, 2, 3]]' ) def test_function_var(): addition_func = FunctionStringVar.create("((a, b) => a + b)") assert str(addition_func.call(1, 2)) == "(((a, b) => a + b)(1, 2))" manual_addition_func = ArgsFunctionOperation.create( ("a", "b"), { "args": [ImmutableVar.create_safe("a"), ImmutableVar.create_safe("b")], "result": ImmutableVar.create_safe("a + b"), }, ) assert ( str(manual_addition_func.call(1, 2)) == '(((a, b) => (({ ["args"] : [a, b], ["result"] : a + b })))(1, 2))' ) increment_func = addition_func(1) assert ( str(increment_func.call(2)) == "(((...args) => ((((a, b) => a + b)(1, ...args))))(2))" ) create_hello_statement = ArgsFunctionOperation.create( ("name",), f"Hello, {ImmutableVar.create_safe('name')}!" ) first_name = LiteralStringVar.create("Steven") last_name = LiteralStringVar.create("Universe") assert ( str(create_hello_statement.call(f"{first_name} {last_name}")) == '(((name) => (("Hello, "+name+"!")))("Steven Universe"))' ) def test_var_operation(): @var_operation def add(a: Union[NumberVar, int], b: Union[NumberVar, int]): return var_operation_return(js_expression=f"({a} + {b})", var_type=int) assert str(add(1, 2)) == "(1 + 2)" assert str(add(a=4, b=-9)) == "(4 + -9)" five = LiteralNumberVar.create(5) seven = add(2, five) assert isinstance(seven, NumberVar) def test_string_operations(): basic_string = LiteralStringVar.create("Hello, World!") assert str(basic_string.length()) == '"Hello, World!".split("").length' assert str(basic_string.lower()) == '"Hello, World!".toLowerCase()' assert str(basic_string.upper()) == '"Hello, World!".toUpperCase()' assert str(basic_string.strip()) == '"Hello, World!".trim()' assert str(basic_string.contains("World")) == '"Hello, World!".includes("World")' assert ( str(basic_string.split(" ").join(",")) == '"Hello, World!".split(" ").join(",")' ) def test_all_number_operations(): starting_number = LiteralNumberVar.create(-5.4) complicated_number = (((-(starting_number + 1)) * 2 / 3) // 2 % 3) ** 2 assert ( str(complicated_number) == "((Math.floor(((-((-5.4 + 1)) * 2) / 3) / 2) % 3) ** 2)" ) even_more_complicated_number = ~( abs(math.floor(complicated_number)) | 2 & 3 & round(complicated_number) ) assert ( str(even_more_complicated_number) == "!(((Math.abs(Math.floor(((Math.floor(((-((-5.4 + 1)) * 2) / 3) / 2) % 3) ** 2))) || (2 && Math.round(((Math.floor(((-((-5.4 + 1)) * 2) / 3) / 2) % 3) ** 2)))) !== 0))" ) assert str(LiteralNumberVar.create(5) > False) == "(5 > 0)" assert str(LiteralBooleanVar.create(False) < 5) == "(Number(false) < 5)" assert ( str(LiteralBooleanVar.create(False) < LiteralBooleanVar.create(True)) == "(Number(false) < Number(true))" ) def test_index_operation(): array_var = LiteralArrayVar.create([1, 2, 3, 4, 5]) assert str(array_var[0]) == "[1, 2, 3, 4, 5].at(0)" assert str(array_var[1:2]) == "[1, 2, 3, 4, 5].slice(1, 2)" assert ( str(array_var[1:4:2]) == "[1, 2, 3, 4, 5].slice(1, 4).filter((_, i) => i % 2 === 0)" ) assert ( str(array_var[::-1]) == "[1, 2, 3, 4, 5].slice(0, [1, 2, 3, 4, 5].length).slice().reverse().slice(undefined, undefined).filter((_, i) => i % 1 === 0)" ) assert str(array_var.reverse()) == "[1, 2, 3, 4, 5].slice().reverse()" assert str(array_var[0].to(NumberVar) + 9) == "([1, 2, 3, 4, 5].at(0) + 9)" def test_array_operations(): array_var = LiteralArrayVar.create([1, 2, 3, 4, 5]) assert str(array_var.length()) == "[1, 2, 3, 4, 5].length" assert str(array_var.contains(3)) == "[1, 2, 3, 4, 5].includes(3)" assert str(array_var.reverse()) == "[1, 2, 3, 4, 5].slice().reverse()" assert ( str(ArrayVar.range(10)) == "Array.from({ length: (10 - 0) / 1 }, (_, i) => 0 + i * 1)" ) assert ( str(ArrayVar.range(1, 10)) == "Array.from({ length: (10 - 1) / 1 }, (_, i) => 1 + i * 1)" ) assert ( str(ArrayVar.range(1, 10, 2)) == "Array.from({ length: (10 - 1) / 2 }, (_, i) => 1 + i * 2)" ) assert ( str(ArrayVar.range(1, 10, -1)) == "Array.from({ length: (10 - 1) / -1 }, (_, i) => 1 + i * -1)" ) def test_object_operations(): object_var = LiteralObjectVar.create({"a": 1, "b": 2, "c": 3}) assert ( str(object_var.keys()) == 'Object.keys(({ ["a"] : 1, ["b"] : 2, ["c"] : 3 }))' ) assert ( str(object_var.values()) == 'Object.values(({ ["a"] : 1, ["b"] : 2, ["c"] : 3 }))' ) assert ( str(object_var.entries()) == 'Object.entries(({ ["a"] : 1, ["b"] : 2, ["c"] : 3 }))' ) assert str(object_var.a) == '({ ["a"] : 1, ["b"] : 2, ["c"] : 3 })["a"]' assert str(object_var["a"]) == '({ ["a"] : 1, ["b"] : 2, ["c"] : 3 })["a"]' assert ( str(object_var.merge(LiteralObjectVar.create({"c": 4, "d": 5}))) == '({...({ ["a"] : 1, ["b"] : 2, ["c"] : 3 }), ...({ ["c"] : 4, ["d"] : 5 })})' ) def test_type_chains(): object_var = LiteralObjectVar.create({"a": 1, "b": 2, "c": 3}) assert (object_var._key_type(), object_var._value_type()) == (str, int) assert (object_var.keys()._var_type, object_var.values()._var_type) == ( List[str], List[int], ) assert ( str(object_var.keys()[0].upper()) # type: ignore == 'Object.keys(({ ["a"] : 1, ["b"] : 2, ["c"] : 3 })).at(0).toUpperCase()' ) assert ( str(object_var.entries()[1][1] - 1) # type: ignore == '(Object.entries(({ ["a"] : 1, ["b"] : 2, ["c"] : 3 })).at(1).at(1) - 1)' ) assert ( str(object_var["c"] + object_var["b"]) # type: ignore == '(({ ["a"] : 1, ["b"] : 2, ["c"] : 3 })["c"] + ({ ["a"] : 1, ["b"] : 2, ["c"] : 3 })["b"])' ) def test_nested_dict(): arr = LiteralArrayVar.create([{"bar": ["foo", "bar"]}], List[Dict[str, List[str]]]) assert ( str(arr[0]["bar"][0]) == '[({ ["bar"] : ["foo", "bar"] })].at(0)["bar"].at(0)' ) def nested_base(): class Boo(Base): foo: str bar: int class Foo(Base): bar: Boo baz: int parent_obj = LiteralVar.create(Foo(bar=Boo(foo="bar", bar=5), baz=5)) assert ( str(parent_obj.bar.foo) == '({ ["bar"] : ({ ["foo"] : "bar", ["bar"] : 5 }), ["baz"] : 5 })["bar"]["foo"]' ) def test_retrival(): var_without_data = ImmutableVar.create("test") assert var_without_data is not None original_var_data = VarData( state="Test", imports={"react": [ImportVar(tag="useRef")]}, hooks={"const state = useContext(StateContexts.state)": None}, ) var_with_data = var_without_data._replace(merge_var_data=original_var_data) f_string = f"foo{var_with_data}bar" assert REFLEX_VAR_OPENING_TAG in f_string assert REFLEX_VAR_CLOSING_TAG in f_string result_var_data = Var.create_safe(f_string)._var_data result_immutable_var_data = ImmutableVar.create_safe(f_string)._var_data assert result_var_data is not None and result_immutable_var_data is not None assert ( result_var_data.state == result_immutable_var_data.state == original_var_data.state ) assert ( result_var_data.imports == ( result_immutable_var_data.imports if isinstance(result_immutable_var_data.imports, dict) else { k: list(v) for k, v in result_immutable_var_data.imports if k in original_var_data.imports } ) == original_var_data.imports ) assert ( list(result_var_data.hooks.keys()) == ( list(result_immutable_var_data.hooks.keys()) if isinstance(result_immutable_var_data.hooks, dict) else list(result_immutable_var_data.hooks) ) == list(original_var_data.hooks.keys()) ) def test_fstring_concat(): original_var_with_data = Var.create_safe( "imagination", _var_data=VarData(state="fear") ) immutable_var_with_data = ImmutableVar.create_safe( "consequences", _var_data=VarData( imports={ "react": [ImportVar(tag="useRef")], "utils": [ImportVar(tag="useEffect")], } ), ) f_string = f"foo{original_var_with_data}bar{immutable_var_with_data}baz" string_concat = LiteralStringVar.create( f_string, _var_data=VarData( hooks={"const state = useContext(StateContexts.state)": None} ), ) assert str(string_concat) == '("foo"+imagination+"bar"+consequences+"baz")' assert isinstance(string_concat, ConcatVarOperation) assert string_concat._get_all_var_data() == ImmutableVarData( state="fear", imports={ "react": [ImportVar(tag="useRef")], "utils": [ImportVar(tag="useEffect")], }, hooks={"const state = useContext(StateContexts.state)": None}, ) @pytest.mark.parametrize( "out, expected", [ (f"{BaseVar(_var_name='var', _var_type=str)}", "${var}"), ( f"testing f-string with {BaseVar(_var_name='myvar', _var_type=int)._var_set_state('state')}", 'testing f-string with ${"state": "state", "interpolations": [], "imports": {"/utils/context": [{"tag": "StateContexts", "is_default": false, "alias": null, "install": true, "render": true, "transpile": false}], "react": [{"tag": "useContext", "is_default": false, "alias": null, "install": true, "render": true, "transpile": false}]}, "hooks": {"const state = useContext(StateContexts.state)": null}, "string_length": 13}{state.myvar}', ), ( f"testing local f-string {BaseVar(_var_name='x', _var_is_local=True, _var_type=str)}", "testing local f-string x", ), ], ) def test_fstrings(out, expected): assert out == expected @pytest.mark.parametrize( ("value", "expect_state"), [ ([1], ""), ({"a": 1}, ""), ([Var.create_safe(1)._var_set_state("foo")], "foo"), ({"a": Var.create_safe(1)._var_set_state("foo")}, "foo"), ], ) def test_extract_state_from_container(value, expect_state): """Test that _var_state is extracted from containers containing BaseVar. Args: value: The value to create a var from. expect_state: The expected state. """ assert Var.create_safe(value)._var_state == expect_state @pytest.mark.parametrize( "value", [ "var", "\nvar", ], ) def test_fstring_roundtrip(value): """Test that f-string roundtrip carries state. Args: value: The value to create a Var from. """ var = BaseVar.create_safe(value)._var_set_state("state") rt_var = Var.create_safe(f"{var}") assert var._var_state == rt_var._var_state assert var._var_full_name_needs_state_prefix assert not rt_var._var_full_name_needs_state_prefix assert rt_var._var_name == var._var_full_name @pytest.mark.parametrize( "var", [ BaseVar(_var_name="var", _var_type=int), BaseVar(_var_name="var", _var_type=float), BaseVar(_var_name="var", _var_type=str), BaseVar(_var_name="var", _var_type=bool), BaseVar(_var_name="var", _var_type=dict), BaseVar(_var_name="var", _var_type=tuple), BaseVar(_var_name="var", _var_type=set), BaseVar(_var_name="var", _var_type=None), ], ) def test_unsupported_types_for_reverse(var): """Test that unsupported types for reverse throw a type error. Args: var: The base var. """ with pytest.raises(TypeError) as err: var.reverse() assert err.value.args[0] == f"Cannot reverse non-list var var." @pytest.mark.parametrize( "var", [ BaseVar(_var_name="var", _var_type=int), BaseVar(_var_name="var", _var_type=float), BaseVar(_var_name="var", _var_type=bool), BaseVar(_var_name="var", _var_type=None), ], ) def test_unsupported_types_for_contains(var): """Test that unsupported types for contains throw a type error. Args: var: The base var. """ with pytest.raises(TypeError) as err: assert var.contains(1) assert ( err.value.args[0] == f"Var var of type {var._var_type} does not support contains check." ) @pytest.mark.parametrize( "other", [ BaseVar(_var_name="other", _var_type=int), BaseVar(_var_name="other", _var_type=float), BaseVar(_var_name="other", _var_type=bool), BaseVar(_var_name="other", _var_type=list), BaseVar(_var_name="other", _var_type=dict), BaseVar(_var_name="other", _var_type=tuple), BaseVar(_var_name="other", _var_type=set), ], ) def test_unsupported_types_for_string_contains(other): with pytest.raises(TypeError) as err: assert BaseVar(_var_name="var", _var_type=str).contains(other) assert ( err.value.args[0] == f"'in ' requires string as left operand, not {other._var_type}" ) def test_unsupported_default_contains(): with pytest.raises(TypeError) as err: assert 1 in BaseVar(_var_name="var", _var_type=str) assert ( err.value.args[0] == "'in' operator not supported for Var types, use Var.contains() instead." ) @pytest.mark.parametrize( "operand1_var,operand2_var,operators", [ ( Var.create(10), Var.create(5), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "&", ], ), ( Var.create(10.5), Var.create(5), ["+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">="], ), ( Var.create(5), Var.create(True), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "&", ], ), ( Var.create(10.5), Var.create(5.5), ["+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">="], ), ( Var.create(10.5), Var.create(True), ["+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">="], ), (Var.create("10"), Var.create("5"), ["+", ">", "<", "<=", ">="]), (Var.create([10, 20]), Var.create([5, 6]), ["+", ">", "<", "<=", ">="]), (Var.create([10, 20]), Var.create(5), ["*"]), (Var.create([10, 20]), Var.create(True), ["*"]), ( Var.create(True), Var.create(True), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "&", ], ), ], ) def test_valid_var_operations(operand1_var: Var, operand2_var, operators: List[str]): """Test that operations do not raise a TypeError. Args: operand1_var: left operand. operand2_var: right operand. operators: list of supported operators. """ for operator in operators: operand1_var.operation(op=operator, other=operand2_var) operand1_var.operation(op=operator, other=operand2_var, flip=True) @pytest.mark.parametrize( "operand1_var,operand2_var,operators", [ ( Var.create(10), Var.create(5), [ "^", "<<", ">>", ], ), ( Var.create(10.5), Var.create(5), [ "|", "^", "<<", ">>", "&", ], ), ( Var.create(10.5), Var.create(True), [ "|", "^", "<<", ">>", "&", ], ), ( Var.create(10.5), Var.create(5.5), [ "|", "^", "<<", ">>", "&", ], ), ( Var.create("10"), Var.create("5"), [ "-", "/", "//", "*", "%", "**", "|", "^", "<<", ">>", "&", ], ), ( Var.create([10, 20]), Var.create([5, 6]), [ "-", "/", "//", "*", "%", "**", "|", "^", "<<", ">>", "&", ], ), ( Var.create([10, 20]), Var.create(5), [ "+", "-", "/", "//", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create([10, 20]), Var.create(True), [ "+", "-", "/", "//", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create([10, 20]), Var.create("5"), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create([10, 20]), Var.create({"key": "value"}), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create([10, 20]), Var.create(5.5), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create({"key": "value"}), Var.create({"another_key": "another_value"}), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create({"key": "value"}), Var.create(5), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create({"key": "value"}), Var.create(True), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create({"key": "value"}), Var.create(5.5), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ( Var.create({"key": "value"}), Var.create("5"), [ "+", "-", "/", "//", "*", "%", "**", ">", "<", "<=", ">=", "|", "^", "<<", ">>", "&", ], ), ], ) def test_invalid_var_operations(operand1_var: Var, operand2_var, operators: List[str]): for operator in operators: with pytest.raises(TypeError): operand1_var.operation(op=operator, other=operand2_var) with pytest.raises(TypeError): operand1_var.operation(op=operator, other=operand2_var, flip=True) @pytest.mark.parametrize( "var, expected", [ (Var.create("string_value", _var_is_string=True), "`string_value`"), (Var.create(1), "1"), (Var.create([1, 2, 3]), "[1, 2, 3]"), (Var.create({"foo": "bar"}), '{"foo": "bar"}'), ( Var.create(ATestState.value, _var_is_string=True), f"{ATestState.get_full_name()}.value", ), ( LiteralVar.create(f"{ATestState.value} string"), f'({ATestState.get_full_name()}.value+" string")', ), (Var.create(ATestState.dict_val), f"{ATestState.get_full_name()}.dict_val"), ], ) def test_var_name_unwrapped(var, expected): assert var._var_name_unwrapped == expected def cv_fget(state: BaseState) -> int: return 1 @pytest.mark.parametrize( "deps,expected", [ (["a"], {"a"}), (["b"], {"b"}), ([ComputedVar(fget=cv_fget)], {"cv_fget"}), ], ) def test_computed_var_deps(deps: List[Union[str, Var]], expected: Set[str]): @computed_var( deps=deps, cache=True, ) def test_var(state) -> int: return 1 assert test_var._static_deps == expected @pytest.mark.parametrize( "deps", [ [""], [1], ["", "abc"], ], ) def test_invalid_computed_var_deps(deps: List): with pytest.raises(TypeError): @computed_var( deps=deps, cache=True, ) def test_var(state) -> int: return 1