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b769b0bc01
Sort imports with ruff check --fix (#11400)
Sort imports with ruff check --fix.
(cherry picked from commit 236b9c0e04)
Co-authored-by: Felix Fontein <felix@fontein.de>
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
# Copyright (c) 2021, Andrew Pantuso (@ajpantuso) <ajpantuso@gmail.com>
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# Copyright (c) 2018, Dag Wieers (@dagwieers) <dag@wieers.com>
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# GNU General Public License v3.0+ (see LICENSES/GPL-3.0-or-later.txt or https://www.gnu.org/licenses/gpl-3.0.txt)
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# SPDX-License-Identifier: GPL-3.0-or-later
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from __future__ import annotations
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import csv
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import typing as t
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from io import StringIO
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from ansible.module_utils.common.text.converters import to_native
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if t.TYPE_CHECKING:
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from collections.abc import Sequence
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class DialectParamsOrNone(t.TypedDict):
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delimiter: t.NotRequired[str | None]
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doublequote: t.NotRequired[bool | None]
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escapechar: t.NotRequired[str | None]
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lineterminator: t.NotRequired[str | None]
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quotechar: t.NotRequired[str | None]
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quoting: t.NotRequired[int | None]
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skipinitialspace: t.NotRequired[bool | None]
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strict: t.NotRequired[bool | None]
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class CustomDialectFailureError(Exception):
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pass
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class DialectNotAvailableError(Exception):
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pass
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CSVError = csv.Error
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def initialize_dialect(dialect: str, **kwargs: t.Unpack[DialectParamsOrNone]) -> str:
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# Add Unix dialect from Python 3
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class unix_dialect(csv.Dialect):
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"""Describe the usual properties of Unix-generated CSV files."""
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delimiter = ","
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quotechar = '"'
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doublequote = True
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skipinitialspace = False
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lineterminator = "\n"
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quoting = csv.QUOTE_ALL
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csv.register_dialect("unix", unix_dialect)
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if dialect not in csv.list_dialects():
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raise DialectNotAvailableError(f"Dialect '{dialect}' is not supported by your version of python.")
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# Create a dictionary from only set options
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dialect_params = {k: v for k, v in kwargs.items() if v is not None}
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if dialect_params:
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try:
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csv.register_dialect("custom", dialect, **dialect_params) # type: ignore
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except TypeError as e:
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raise CustomDialectFailureError(f"Unable to create custom dialect: {e}") from e
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dialect = "custom"
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return dialect
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def read_csv(data: str, dialect: str, fieldnames: Sequence[str] | None = None) -> csv.DictReader:
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BOM = "\ufeff"
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data = to_native(data, errors="surrogate_or_strict")
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if data.startswith(BOM):
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data = data[len(BOM) :]
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fake_fh = StringIO(data)
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reader = csv.DictReader(fake_fh, fieldnames=fieldnames, dialect=dialect)
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return reader
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