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# Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html
# For details: https://github.com/PyCQA/pylint/blob/main/LICENSE
# pylint: disable=redefined-outer-name
from typing import Callable, List, Optional
import pytest
from pylint.constants import PY38_PLUS
from pylint.interfaces import HIGH, INFERENCE, Confidence
from pylint.message import Message
from pylint.testutils.output_line import MalformedOutputLineException, OutputLine
@pytest.fixture()
def message() -> Callable:
def inner(confidence: Confidence = HIGH) -> Message:
return Message(
symbol="missing-docstring",
msg_id="C0123",
location=[
"abspath",
"path",
"module",
"obj",
"line",
"column",
],
msg="msg",
confidence=confidence,
)
return inner
def test_output_line() -> None:
output_line = OutputLine(
symbol="missing-docstring",
lineno=0,
column="0",
object="",
msg="Missing docstring's bad.",
confidence=HIGH,
)
assert output_line.symbol == "missing-docstring"
def test_output_line_from_message(message: Callable) -> None:
output_line = OutputLine.from_msg(message())
assert output_line.symbol == "missing-docstring"
assert output_line.msg == "msg"
@pytest.mark.parametrize("confidence", [HIGH, INFERENCE])
def test_output_line_to_csv(confidence: Confidence, message: Callable) -> None:
output_line = OutputLine.from_msg(message(confidence))
csv = output_line.to_csv()
expected_column = "column" if PY38_PLUS else ""
assert csv == (
"missing-docstring",
"line",
expected_column,
"obj",
"msg",
confidence.name,
)
def test_output_line_from_csv_error() -> None:
with pytest.raises(
MalformedOutputLineException,
match="msg-symbolic-name:42:27:MyClass.my_function:The message",
):
OutputLine.from_csv("'missing-docstring', 'line', 'column', 'obj', 'msg'")
with pytest.raises(
MalformedOutputLineException, match="symbol='missing-docstring' ?"
):
csv = ("missing-docstring", "line", "column", "obj", "msg")
OutputLine.from_csv(csv)
@pytest.mark.parametrize(
"confidence,expected_confidence", [[None, "HIGH"], ["INFERENCE", "INFERENCE"]]
)
def test_output_line_from_csv(
confidence: Optional[str], expected_confidence: Confidence
) -> None:
if confidence:
proper_csv: List[str] = [
"missing-docstring",
"1",
"2",
"obj",
"msg",
confidence,
]
else:
proper_csv = ["missing-docstring", "1", "2", "obj", "msg"]
output_line = OutputLine.from_csv(proper_csv)
expected_column = "2" if PY38_PLUS else ""
assert output_line == OutputLine(
symbol="missing-docstring",
lineno=1,
column=expected_column,
object="obj",
msg="msg",
confidence=expected_confidence,
)
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