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from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union
import pytest
from pytest import raises
from knot_resolver.utils.modeling import ConfigSchema, parse_json, parse_yaml
from knot_resolver.utils.modeling.exceptions import DataDescriptionError, DataValidationError
class _TestBool(ConfigSchema):
v: bool
class _TestInt(ConfigSchema):
v: int
class _TestStr(ConfigSchema):
v: str
@pytest.mark.parametrize("val,exp", [("false", False), ("true", True), ("False", False), ("True", True)])
def test_parsing_bool_valid(val: str, exp: bool):
assert _TestBool(parse_yaml(f"v: {val}")).v == exp
@pytest.mark.parametrize("val", ["0", "1", "5", "'true'", "'false'", "5.5"]) # int, str, float
def test_parsing_bool_invalid(val: str):
with raises(DataValidationError):
_TestBool(parse_yaml(f"v: {val}"))
@pytest.mark.parametrize("val,exp", [("0", 0), ("5335", 5335), ("-5001", -5001)])
def test_parsing_int_valid(val: str, exp: int):
assert _TestInt(parse_yaml(f"v: {val}")).v == exp
@pytest.mark.parametrize("val", ["false", "'5'", "5.5"]) # bool, str, float
def test_parsing_int_invalid(val: str):
with raises(DataValidationError):
_TestInt(parse_yaml(f"v: {val}"))
# int and float are allowed inputs for string
@pytest.mark.parametrize("val,exp", [("test", "test"), (65, "65"), (5.5, "5.5")])
def test_parsing_str_valid(val: Any, exp: str):
assert _TestStr(parse_yaml(f"v: {val}")).v == exp
def test_parsing_str_invalid():
with raises(DataValidationError):
_TestStr(parse_yaml("v: false")) # bool
def test_parsing_list_empty():
class ListSchema(ConfigSchema):
empty: List[Any]
with raises(DataValidationError):
ListSchema(parse_yaml("empty: []"))
@pytest.mark.parametrize("typ,val", [(_TestInt, 5), (_TestBool, False), (_TestStr, "test")])
def test_parsing_nested(typ: Type[ConfigSchema], val: Any):
class UpperSchema(ConfigSchema):
l: typ
yaml = f"""
l:
v: {val}
"""
o = UpperSchema(parse_yaml(yaml))
assert o.l.v == val
def test_parsing_simple_compound_types():
class TestSchema(ConfigSchema):
l: List[int]
d: Dict[str, str]
t: Tuple[str, int]
o: Optional[int]
yaml = """
l:
- 1
- 2
- 3
- 4
- 5
d:
something: else
w: all
t:
- test
- 5
"""
o = TestSchema(parse_yaml(yaml))
assert o.l == [1, 2, 3, 4, 5]
assert o.d == {"something": "else", "w": "all"}
assert o.t == ("test", 5)
assert o.o is None
def test_parsing_nested_compound_types():
class TestSchema(ConfigSchema):
i: int
o: Optional[Dict[str, str]]
yaml1 = "i: 5"
yaml2 = f"""
{yaml1}
o:
key1: str1
key2: str2
"""
o = TestSchema(parse_yaml(yaml1))
assert o.i == 5
assert o.o is None
o = TestSchema(parse_yaml(yaml2))
assert o.i == 5
assert o.o == {"key1": "str1", "key2": "str2"}
def test_dash_conversion():
class TestSchema(ConfigSchema):
awesome_field: Dict[str, str]
yaml = """
awesome-field:
awesome-key: awesome-value
"""
o = TestSchema(parse_yaml(yaml))
assert o.awesome_field["awesome-key"] == "awesome-value"
def test_eq():
class B(ConfigSchema):
a: _TestInt
field: str
b1 = B({"a": {"v": 6}, "field": "val"})
b2 = B({"a": {"v": 6}, "field": "val"})
b_diff = B({"a": {"v": 7}, "field": "val"})
assert b1 == b2
assert b2 != b_diff
assert b1 != b_diff
assert b_diff == b_diff
def test_docstring_parsing_valid():
class NormalDescription(ConfigSchema):
"""
Does nothing special
Really
"""
desc = NormalDescription.json_schema()
assert desc["description"] == "Does nothing special\nReally"
class FieldsDescription(ConfigSchema):
"""
This is an awesome test class
---
field: This field does nothing interesting
value: Neither does this
"""
field: str
value: int
schema = FieldsDescription.json_schema()
assert schema["description"] == "This is an awesome test class"
assert schema["properties"]["field"]["description"] == "This field does nothing interesting"
assert schema["properties"]["value"]["description"] == "Neither does this"
class NoDescription(ConfigSchema):
nothing: str
_ = NoDescription.json_schema()
def test_docstring_parsing_invalid():
class AdditionalItem(ConfigSchema):
"""
This class is wrong
---
field: nope
nothing: really nothing
"""
nothing: str
with raises(DataDescriptionError):
_ = AdditionalItem.json_schema()
class WrongDescription(ConfigSchema):
"""
This class is wrong
---
other: description
"""
nothing: str
with raises(DataDescriptionError):
_ = WrongDescription.json_schema()
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