5871136315

pending completion

Build # 5871136315

Build Type

push

github

Committed by

insolor

Commit Message

Upgrade style of the type annotations using ruff

Run Details

157 of 404 branches covered (38.86%)

Branch coverage included in aggregate %.

53 of 53 new or added lines in 18 files covered. (100.0%)

369 of 876 relevant lines covered (42.12%)

1.26 hits per line

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0.0

/df_gettext_toolkit/create_pot/from_speech.py

import sys
from collections.abc import Iterable, Iterator, Sequence
from pathlib import Path
from typing import TextIO

import typer

from df_gettext_toolkit.utils.po_utils import TranslationItem, save_pot


def extract_from_speech_file(file: TextIO, source_path: str):
    for i, line in enumerate(file, 1):
        text = line.rstrip("\n")
        if text:
            yield TranslationItem(text=text, source_file=source_path, line_number=i)


def extract_translatables(files: Iterable[Path]) -> Iterator[TranslationItem]:
    for file_path in files:
        if file_path.is_file():
            print("File:", file_path.name, file=sys.stderr)
            with file_path.open() as file:
                yield from extract_from_speech_file(file, file_path.name)


def create_pot_file(pot_file: typer.FileBinaryWrite, files: Sequence[Path]):
    save_pot(
        pot_file,
        extract_translatables(files),
    )


def main(
    path: Path,
    pot_file: typer.FileBinaryWrite,
):
    files = (file for file in path.glob("*.txt") if file.is_file())
    create_pot_file(pot_file, sorted(files))


if __name__ == "__main__":
    typer.run(main)

1	import sys	×
2	from collections.abc import Iterable, Iterator, Sequence	×
3	from pathlib import Path	×
4	from typing import TextIO	×
5
6	import typer	×
7
8	from df_gettext_toolkit.utils.po_utils import TranslationItem, save_pot	×
9
10
11	def extract_from_speech_file(file: TextIO, source_path: str):	×
12	for i, line in enumerate(file, 1):	×
13	text = line.rstrip("\n")	×
14	if text:	×
15	yield TranslationItem(text=text, source_file=source_path, line_number=i)	×
16
17
18	def extract_translatables(files: Iterable[Path]) -> Iterator[TranslationItem]:	×
19	for file_path in files:	×
20	if file_path.is_file():	×
21	print("File:", file_path.name, file=sys.stderr)	×
22	with file_path.open() as file:	×
23	yield from extract_from_speech_file(file, file_path.name)	×
24
25
26	def create_pot_file(pot_file: typer.FileBinaryWrite, files: Sequence[Path]):	×
27	save_pot(	×
28	pot_file,
29	extract_translatables(files),
30	)
31
32
33	def main(	×
34	path: Path,
35	pot_file: typer.FileBinaryWrite,
36	):
37	files = (file for file in path.glob("*.txt") if file.is_file())	×
38	create_pot_file(pot_file, sorted(files))	×
39
40
41	if __name__ == "__main__":
42	typer.run(main)

dfint / df-gettext-toolkit / 5871136315

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