blob: ea5cafc8b96ca91be5eecb10fb03f9a45dc51183 [file] [log] [blame]
import re
from typing import Any, Callable, Iterable, List, Optional
from .settings import Config
_import_line_intro_re = re.compile("^(?:from|import) ")
_import_line_midline_import_re = re.compile(" import ")
def module_key(
module_name: str,
config: Config,
sub_imports: bool = False,
ignore_case: bool = False,
section_name: Optional[Any] = None,
) -> str:
match = re.match(r"^(\.+)\s*(.*)", module_name)
if match:
sep = " " if config.reverse_relative else "_"
module_name = sep.join(match.groups())
prefix = ""
if ignore_case:
module_name = str(module_name).lower()
else:
module_name = str(module_name)
if sub_imports and config.order_by_type:
if module_name.isupper() and len(module_name) > 1: # see issue #376
prefix = "A"
elif module_name[0:1].isupper():
prefix = "B"
else:
prefix = "C"
if not config.case_sensitive:
module_name = module_name.lower()
length_sort = config.length_sort or str(section_name).lower() in config.length_sort_sections
_length_sort_maybe = length_sort and (str(len(module_name)) + ":" + module_name) or module_name
return f"{module_name in config.force_to_top and 'A' or 'B'}{prefix}{_length_sort_maybe}"
def section_key(
line: str,
order_by_type: bool,
force_to_top: List[str],
lexicographical: bool = False,
length_sort: bool = False,
) -> str:
section = "B"
if lexicographical:
line = _import_line_intro_re.sub("", _import_line_midline_import_re.sub(".", line))
else:
line = re.sub("^from ", "", line)
line = re.sub("^import ", "", line)
if line.split(" ")[0] in force_to_top:
section = "A"
if not order_by_type:
line = line.lower()
return f"{section}{len(line) if length_sort else ''}{line}"
def naturally(to_sort: Iterable[str], key: Optional[Callable[[str], Any]] = None) -> List[str]:
"""Returns a naturally sorted list"""
if key is None:
key_callback = _natural_keys
else:
def key_callback(text: str) -> List[Any]:
return _natural_keys(key(text)) # type: ignore
return sorted(to_sort, key=key_callback)
def _atoi(text: str) -> Any:
return int(text) if text.isdigit() else text
def _natural_keys(text: str) -> List[Any]:
return [_atoi(c) for c in re.split(r"(\d+)", text)]