pydase/tests/utils/test_serialization.py

289 lines
7.9 KiB
Python

import asyncio
from enum import Enum
import pytest
import pydase
import pydase.units as u
from pydase.components.coloured_enum import ColouredEnum
from pydase.utils.serialization import dump
@pytest.mark.parametrize(
"test_input, expected",
[
(1, {"type": "int", "value": 1, "readonly": False, "doc": None}),
(1.0, {"type": "float", "value": 1.0, "readonly": False, "doc": None}),
(True, {"type": "bool", "value": True, "readonly": False, "doc": None}),
(
u.Quantity(10, "m"),
{
"type": "Quantity",
"value": {"magnitude": 10, "unit": "meter"},
"readonly": False,
"doc": None,
},
),
],
)
def test_dump(test_input, expected):
assert dump(test_input) == expected
def test_enum_serialize() -> None:
class EnumClass(Enum):
FOO = "foo"
BAR = "bar"
class EnumAttribute(pydase.DataService):
def __init__(self) -> None:
self.some_enum = EnumClass.FOO
super().__init__()
class EnumPropertyWithoutSetter(pydase.DataService):
def __init__(self) -> None:
self._some_enum = EnumClass.FOO
super().__init__()
@property
def some_enum(self) -> EnumClass:
return self._some_enum
class EnumPropertyWithSetter(pydase.DataService):
def __init__(self) -> None:
self._some_enum = EnumClass.FOO
super().__init__()
@property
def some_enum(self) -> EnumClass:
return self._some_enum
@some_enum.setter
def some_enum(self, value: EnumClass) -> None:
self._some_enum = value
assert dump(EnumAttribute())["value"] == {
"some_enum": {
"type": "Enum",
"value": "FOO",
"enum": {"FOO": "foo", "BAR": "bar"},
"readonly": False,
"doc": None,
}
}
assert dump(EnumPropertyWithoutSetter())["value"] == {
"some_enum": {
"type": "Enum",
"value": "FOO",
"enum": {"FOO": "foo", "BAR": "bar"},
"readonly": True,
"doc": None,
}
}
assert dump(EnumPropertyWithSetter())["value"] == {
"some_enum": {
"type": "Enum",
"value": "FOO",
"enum": {"FOO": "foo", "BAR": "bar"},
"readonly": False,
"doc": None,
}
}
def test_ColouredEnum_serialize() -> None:
class Status(ColouredEnum):
PENDING = "#FFA500"
RUNNING = "#0000FF80"
PAUSED = "rgb(169, 169, 169)"
RETRYING = "rgba(255, 255, 0, 0.3)"
COMPLETED = "hsl(120, 100%, 50%)"
FAILED = "hsla(0, 100%, 50%, 0.7)"
CANCELLED = "SlateGray"
assert dump(Status.FAILED) == {
"type": "ColouredEnum",
"value": "FAILED",
"enum": {
"CANCELLED": "SlateGray",
"COMPLETED": "hsl(120, 100%, 50%)",
"FAILED": "hsla(0, 100%, 50%, 0.7)",
"PAUSED": "rgb(169, 169, 169)",
"PENDING": "#FFA500",
"RETRYING": "rgba(255, 255, 0, 0.3)",
"RUNNING": "#0000FF80",
},
"readonly": False,
"doc": None,
}
def test_method_serialization() -> None:
class ClassWithMethod(pydase.DataService):
def some_method(self) -> str:
return "some method"
async def some_task(self, sleep_time: int) -> None:
while True:
await asyncio.sleep(sleep_time)
instance = ClassWithMethod()
instance.start_some_task(10) # type: ignore
assert dump(instance)["value"] == {
"some_method": {
"async": False,
"doc": None,
"parameters": {},
"readonly": True,
"type": "method",
"value": None,
},
"some_task": {
"async": True,
"doc": None,
"parameters": {"sleep_time": "int"},
"readonly": True,
"type": "method",
"value": {"sleep_time": 10},
},
}
def test_methods_with_type_hints() -> None:
def method_without_type_hint(arg_without_type_hint) -> None:
pass
def method_with_type_hint(some_argument: int) -> None:
pass
def method_with_union_type_hint(some_argument: int | float) -> None:
pass
assert dump(method_without_type_hint) == {
"async": False,
"doc": None,
"parameters": {"arg_without_type_hint": None},
"readonly": True,
"type": "method",
"value": None,
}
assert dump(method_with_type_hint) == {
"async": False,
"doc": None,
"parameters": {"some_argument": "int"},
"readonly": True,
"type": "method",
"value": None,
}
assert dump(method_with_union_type_hint) == {
"async": False,
"doc": None,
"parameters": {"some_argument": "int | float"},
"readonly": True,
"type": "method",
"value": None,
}
def test_list_serialization() -> None:
class MySubclass(pydase.DataService):
_name = "hi"
bool_attr = True
int_attr = 1
@property
def name(self) -> str:
return self._name
class ClassWithListAttribute(pydase.DataService):
list_attr = [1, MySubclass()]
instance = ClassWithListAttribute()
assert dump(instance)["value"] == {
"list_attr": {
"doc": None,
"readonly": False,
"type": "list",
"value": [
{"doc": None, "readonly": False, "type": "int", "value": 1},
{
"doc": None,
"readonly": False,
"type": "DataService",
"value": {
"bool_attr": {
"doc": None,
"readonly": False,
"type": "bool",
"value": True,
},
"int_attr": {
"doc": None,
"readonly": False,
"type": "int",
"value": 1,
},
"name": {
"doc": None,
"readonly": True,
"type": "str",
"value": "hi",
},
},
},
],
}
}
def test_dict_serialization() -> None:
class MyClass(pydase.DataService):
name = "my class"
test_dict = {
"int_key": 1,
"float_key": 1.0,
"bool_key": True,
"Quantity_key": 1.0 * u.units.s,
"DataService_key": MyClass(),
}
assert dump(test_dict) == {
"doc": None,
"readonly": False,
"type": "dict",
"value": {
"DataService_key": {
"doc": None,
"readonly": False,
"type": "DataService",
"value": {
"name": {
"doc": None,
"readonly": False,
"type": "str",
"value": "my class",
}
},
},
"Quantity_key": {
"doc": None,
"readonly": False,
"type": "Quantity",
"value": {"magnitude": 1.0, "unit": "s"},
},
"bool_key": {"doc": None, "readonly": False, "type": "bool", "value": True},
"float_key": {
"doc": None,
"readonly": False,
"type": "float",
"value": 1.0,
},
"int_key": {"doc": None, "readonly": False, "type": "int", "value": 1},
},
}