/
test_loading.py
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/
test_loading.py
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"""Tests for loading from a file."""
# pylint: disable=unused-variable
from dataclasses import dataclass
import pytest
from datafiles import datafile
from datafiles.utils import dedent, logbreak, read, write
from .samples import (
Sample,
SampleAsJSON,
SampleWithDefaults,
SampleWithList,
SampleWithListAndDefaults,
SampleWithListOfDataclasses,
SampleWithNesting,
_NestedSample1,
)
def describe_nominal():
@pytest.fixture
def sample():
return Sample(None, None, None, None)
def with_matching_types(sample, expect):
write(
'tmp/sample.yml',
"""
bool_: true
int_: 1
float_: 2.3
str_: 'foobar'
""",
)
sample.datafile.load()
expect(sample.bool_).is_(True)
expect(sample.int_) == 1
expect(sample.float_) == 2.3
expect(sample.str_) == 'foobar'
def with_convertable_types(sample, expect):
write(
'tmp/sample.yml',
"""
bool_: 1
int_: 2
float_: 3
str_: 4
""",
)
sample.datafile.load()
expect(sample.bool_).is_(True)
expect(sample.int_) == 2
expect(sample.float_) == 3.0
expect(sample.str_) == '4'
def with_extra_fields(sample, expect):
write(
'tmp/sample.yml',
"""
bool_: null
int_: null
float_: null
str_: null
extra: 5
""",
)
sample.datafile.load()
expect(hasattr(sample, 'extra')).is_(False)
def with_invalid_data(sample, expect):
write(
'tmp/sample.yml',
"""
- foo
- bar
""",
)
sample.datafile.load()
expect(sample.int_) == 0
def describe_alternate_formats():
@pytest.fixture
def sample():
return SampleAsJSON(None, None, None, None)
def with_json(sample, expect):
write(
'tmp/sample.json',
"""
{
"bool_": true,
"int_": 1,
"float_": 2.3,
"str_": "foobar"
}
""",
)
sample.datafile.load()
expect(sample.bool_).is_(True)
expect(sample.int_) == 1
expect(sample.float_) == 2.3
expect(sample.str_) == 'foobar'
def describe_default_values():
@pytest.fixture
def sample():
return SampleWithDefaults(None)
def with_empty_file(sample, expect):
write('tmp/sample.yml', "")
sample.datafile.load()
expect(sample.with_default) == 'foo'
expect(sample.without_default) == ''
def with_partial_file(sample, expect):
write(
'tmp/sample.yml',
"""
without_default: bar
""",
)
sample.datafile.load()
expect(sample.with_default) == 'foo'
expect(sample.without_default) == 'bar'
def describe_nesting():
@pytest.fixture
def sample():
return SampleWithNesting(None, None, None)
def with_defaults(sample, expect):
write(
'tmp/sample.yml',
"""
name: ''
score: 0.0
nested:
name: ''
score: 0.0
""",
)
sample.datafile.load()
expect(sample.name) == ''
expect(sample.score) == 0.0
expect(sample.nested.name) == ''
expect(sample.nested.score) == 0.0
def with_convertable_types(sample, expect):
write(
'tmp/sample.yml',
"""
name: 1
score: '2.3'
nested:
name: 4
score: '5.6'
""",
)
sample.datafile.load()
expect(sample.name) == '1'
expect(sample.score) == 2.3
expect(sample.nested.name) == '4'
expect(sample.nested.score) == 5.6
def with_missing_keys(sample, expect):
write(
'tmp/sample.yml',
"""
name: foo
nested:
name: bar
""",
)
sample.datafile.load()
expect(sample.name) == 'foo'
expect(sample.score) == 0.0
expect(sample.nested.name) == 'bar'
expect(sample.nested.score) == 0.0
def with_missing_nested_object(sample, expect):
sample.nested = _NestedSample1(name='bar', score=8)
write(
'tmp/sample.yml',
"""
name: foo
score: 7
""",
)
sample.datafile.load()
expect(sample.name) == 'foo'
expect(sample.score) == 7.0
expect(sample.nested.name) == 'bar'
expect(sample.nested.score) == 8.0
def with_extra_attributes(sample, expect):
write(
'tmp/sample.yml',
"""
name: 'a'
score: 1.2
nested:
name: 'b'
score: 3.4
extra: 5
""",
)
sample.datafile.load()
expect(sample.name) == 'a'
expect(sample.score) == 1.2
expect(sample.nested.name) == 'b'
expect(sample.nested.score) == 3.4
expect(hasattr(sample.nested, 'extra')).is_(False)
@pytest.mark.flaky
def with_multiple_levels(expect):
@dataclass
class Bottom:
level: int = 4
@dataclass
class C:
level: int = 3
d: Bottom = Bottom()
@dataclass
class B:
level: int = 2
c: C = C()
@dataclass
class A:
level: int = 1
b: B = B()
@datafile('../tmp/sample.toml', defaults=True, auto_save=False)
class Top:
level: int = 0
a: A = A()
sample = Top()
expect(read('tmp/sample.toml')) == dedent(
"""
level = 0
[a]
level = 1
[a.b]
level = 2
[a.b.c]
level = 3
[a.b.c.d]
level = 4
"""
)
logbreak("Modifying attribute")
sample.a.b.c.d.level = 99
expect(read('tmp/sample.toml')) == dedent(
"""
level = 0
[a]
level = 1
[a.b]
level = 2
[a.b.c]
level = 3
[a.b.c.d]
level = 99
"""
)
write(
'tmp/sample.toml',
"""
level = 0
[a]
level = 10
[a.b]
level = 20
[a.b.c]
level = 30
[a.b.c.d]
level = 40
""",
)
logbreak("Reading attribute")
expect(sample.a.level) == 10
expect(sample.a.b.level) == 20
expect(sample.a.b.c.level) == 30
expect(sample.a.b.c.d.level) == 40
def describe_lists():
def with_matching_types(expect):
write(
'tmp/sample.yml',
"""
items:
- 1.2
- 3.4
""",
)
sample = SampleWithList(None)
expect(sample.items) == [1.2, 3.4]
def with_conversion(expect):
write(
'tmp/sample.yml',
"""
items: 1, 2.3
""",
)
sample = SampleWithList(None)
expect(sample.items) == [1.0, 2.3]
def with_conversion_and_defaults(expect):
write(
'tmp/sample.yml',
"""
items: 1, 2.3
""",
)
sample = SampleWithListAndDefaults()
expect(sample.items) == [1.0, 2.3]
def with_null_list_value(expect):
write(
'tmp/sample.yml',
"""
items:
-
""",
)
sample = SampleWithListOfDataclasses()
expect(sample.items) == []
def with_partial_list_value(expect):
write(
'tmp/sample.yml',
"""
items:
- name: abc
""",
)
logbreak()
sample = SampleWithListOfDataclasses()
logbreak()
expect(sample.items) == [_NestedSample1(name='abc', score=0.0)]