Get back from_speach.py

df_translation_toolkit/create_pot/from_speech.py

@@ -0,0 +1,42 @@
+import sys
+from collections.abc import Iterable, Iterator, Sequence
+from pathlib import Path
+from typing import TextIO
+
+import typer
+
+from df_translation_toolkit.utils.po_utils import TranslationItem, save_pot
+
+
+def extract_from_speech_file(file: TextIO, source_path: str) -> Iterator[TranslationItem]:
+    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]) -> None:
+    save_pot(
+        pot_file,
+        extract_translatables(files),
+    )
+
+
+def main(
+    path: Path,
+    pot_file: typer.FileBinaryWrite,
+) -> None:
+    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)