Add support for separate key terms training data files

machine/corpora/corpora_utils.py

@@ -54,7 +54,11 @@ def get_files(file_patterns: Iterable[str]) -> Iterable[Tuple[str, str]]:
     if len(file_patterns) == 1 and os.path.isfile(file_patterns[0]):
         yield ("*all*", file_patterns[0])
     else:
-        for file_pattern in file_patterns:
+        for i, file_pattern in enumerate(file_patterns):
+            if os.path.isfile(file_pattern):
+                yield (str(i), file_pattern)
+                continue
+
             if "*" not in file_pattern and "?" not in file_pattern and not os.path.exists(file_pattern):
                 raise FileNotFoundError(f"The specified path does not exist: {file_pattern}.")
 

machine/jobs/translation_file_service.py

@@ -1,6 +1,6 @@
 from contextlib import contextmanager
 from pathlib import Path
-from typing import Any, Generator, Iterator, List, TypedDict
+from typing import Any, Generator, Iterator, List, Optional, TypedDict, Union
 
 import json_stream
 
@@ -21,40 +21,56 @@ class PretranslationInfo(TypedDict):
     alignment: str
 
 
-SOURCE_FILENAME = "train.src.txt"
-TARGET_FILENAME = "train.trg.txt"
-SOURCE_PRETRANSLATION_FILENAME = "pretranslate.src.json"
-TARGET_PRETRANSLATION_FILENAME = "pretranslate.trg.json"
-
-
 class TranslationFileService:
     def __init__(
         self,
         type: SharedFileServiceType,
         config: Any,
+        source_filenames: Optional[Union[str, List[str]]] = None,
+        target_filenames: Optional[Union[str, List[str]]] = None,
+        source_pretranslation_filename: str = "pretranslate.src.json",
+        target_pretranslation_filename: str = "pretranslate.trg.json",
     ) -> None:
 
+        if source_filenames is None:
+            source_filenames = ["train.src.txt", "train.key-terms.src.txt"]
+        if target_filenames is None:
+            target_filenames = ["train.trg.txt", "train.key-terms.trg.txt"]
+
+        self._source_filenames = [source_filenames] if isinstance(source_filenames, str) else list(source_filenames)
+        self._target_filenames = [target_filenames] if isinstance(target_filenames, str) else list(target_filenames)
+        self._source_pretranslation_filename = source_pretranslation_filename
+        self._target_pretranslation_filename = target_pretranslation_filename
+
         self.shared_file_service: SharedFileServiceBase = get_shared_file_service(type, config)
 
     def create_source_corpus(self) -> TextCorpus:
         return TextFileTextCorpus(
-            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{SOURCE_FILENAME}")
+            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{source_filename}")
+            for source_filename in self._source_filenames
         )
 
     def create_target_corpus(self) -> TextCorpus:
         return TextFileTextCorpus(
-            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{TARGET_FILENAME}")
+            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{target_filename}")
+            for target_filename in self._target_filenames
         )
 
     def exists_source_corpus(self) -> bool:
-        return self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{SOURCE_FILENAME}")
+        return all(
+            self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{source_filename}")
+            for source_filename in self._source_filenames
+        )
 
     def exists_target_corpus(self) -> bool:
-        return self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{TARGET_FILENAME}")
+        return all(
+            self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{target_filename}")
+            for target_filename in self._target_filenames
+        )
 
     def get_source_pretranslations(self) -> ContextManagedGenerator[PretranslationInfo, None, None]:
         src_pretranslate_path = self.shared_file_service.download_file(
-            f"{self.shared_file_service.build_path}/{SOURCE_PRETRANSLATION_FILENAME}"
+            f"{self.shared_file_service.build_path}/{self._source_pretranslation_filename}"
         )
 
         def generator() -> Generator[PretranslationInfo, None, None]:
@@ -77,4 +93,4 @@ def save_model(self, model_path: Path, destination: str) -> None:
 
     @contextmanager
     def open_target_pretranslation_writer(self) -> Iterator[DictToJsonWriter]:
-        return self.shared_file_service.open_target_writer(TARGET_PRETRANSLATION_FILENAME)
+        return self.shared_file_service.open_target_writer(self._target_pretranslation_filename)

machine/jobs/word_alignment_file_service.py

@@ -1,6 +1,6 @@
 from contextlib import contextmanager
 from pathlib import Path
-from typing import Any, Iterator, List, TypedDict
+from typing import Any, Iterator, List, Optional, TypedDict, Union
 
 import json_stream
 
@@ -23,27 +23,34 @@ def __init__(
         self,
         type: SharedFileServiceType,
         config: Any,
-        source_filename: str = "train.src.txt",
-        target_filename: str = "train.trg.txt",
+        source_filenames: Optional[Union[str, List[str]]] = None,
+        target_filenames: Optional[Union[str, List[str]]] = None,
         word_alignment_input_filename: str = "word_alignments.inputs.json",
         word_alignment_output_filename: str = "word_alignments.outputs.json",
     ) -> None:
 
-        self._source_filename = source_filename
-        self._target_filename = target_filename
+        if source_filenames is None:
+            source_filenames = ["train.src.txt", "train.key-terms.src.txt"]
+        if target_filenames is None:
+            target_filenames = ["train.trg.txt", "train.key-terms.trg.txt"]
+
+        self._source_filenames = [source_filenames] if isinstance(source_filenames, str) else list(source_filenames)
+        self._target_filenames = [target_filenames] if isinstance(target_filenames, str) else list(target_filenames)
         self._word_alignment_input_filename = word_alignment_input_filename
         self._word_alignment_output_filename = word_alignment_output_filename
 
         self.shared_file_service: SharedFileServiceBase = get_shared_file_service(type, config)
 
     def create_source_corpus(self) -> TextCorpus:
         return TextFileTextCorpus(
-            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{self._source_filename}")
+            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{source_filename}")
+            for source_filename in self._source_filenames
         )
 
     def create_target_corpus(self) -> TextCorpus:
         return TextFileTextCorpus(
-            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{self._target_filename}")
+            self.shared_file_service.download_file(f"{self.shared_file_service.build_path}/{target_filename}")
+            for target_filename in self._target_filenames
         )
 
     def get_word_alignment_inputs(self) -> List[WordAlignmentInput]:
@@ -64,10 +71,16 @@ def get_word_alignment_inputs(self) -> List[WordAlignmentInput]:
         return wa_inputs
 
     def exists_source_corpus(self) -> bool:
-        return self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{self._source_filename}")
+        return all(
+            self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{source_filename}")
+            for source_filename in self._source_filenames
+        )
 
     def exists_target_corpus(self) -> bool:
-        return self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{self._target_filename}")
+        return all(
+            self.shared_file_service._exists_file(f"{self.shared_file_service.build_path}/{target_filename}")
+            for target_filename in self._target_filenames
+        )
 
     def exists_word_alignment_inputs(self) -> bool:
         return self.shared_file_service._exists_file(

tests/corpora/test_text_file_text_corpus.py

@@ -14,6 +14,17 @@ def test_folder() -> None:
     assert [t.id for t in corpus.texts] == ["Test1", "Test2", "Test3"]
 
 
+def test_multiple_files() -> None:
+    corpus = TextFileTextCorpus(
+        [
+            TEXT_TEST_PROJECT_PATH / "Test1.txt",
+            TEXT_TEST_PROJECT_PATH / "Test2.txt",
+            TEXT_TEST_PROJECT_PATH / "Test3.txt",
+        ]
+    )
+    assert [t.id for t in corpus.texts] == ["0", "1", "2"]
+
+
 def test_single_file() -> None:
     corpus = TextFileTextCorpus(TEXT_TEST_PROJECT_PATH / "Test1.txt")
     assert [t.id for t in corpus.texts] == ["*all*"]