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add force_overwrite
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@ -28,6 +28,9 @@ out_help = "Path where to save the result .spacy file"
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code_help = ("Path to Python file with additional "
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"code (registered functions) to be imported")
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gold_help = "Use gold preprocessing provided in the .spacy files"
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force_msg = ("The provided output file already exists. "
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"To force overwriting the config file, set the --force or -F flag.")
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DocOrStrStream = Union[Iterable[str], Iterable[Doc]]
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@ -47,8 +50,6 @@ def _stream_jsonl(path: Path, field) -> Iterable[str]:
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not found it raises error.
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"""
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for entry in srsly.read_jsonl(path):
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print(entry)
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print(field)
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if field not in entry:
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raise msg.fail(
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f"{path} does not contain the required '{field}' field.",
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@ -76,6 +77,7 @@ def apply_cli(
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output_file: Path = Arg(..., help=out_help, dir_okay=False),
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code_path: Optional[Path] = Opt(None, "--code", "-c", help=code_help),
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json_field: str = Opt("text", "--field", "-f", help="Field to grab from .jsonl"),
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force_overwrite: bool = Opt(False, "--force", "-F", help="Force overwriting the output file"),
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use_gpu: int = Opt(-1, "--gpu-id", "-g", help="GPU ID or -1 for CPU."),
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batch_size: int = Opt(1, "--batch-size", "-b", help="Batch size."),
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n_process: int = Opt(1, "--n-process", "-n", help="number of processors to use.")
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@ -91,6 +93,13 @@ def apply_cli(
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a single document.
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DOCS: https://spacy.io/api/cli#tba
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"""
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data_path = ensure_path(data_path)
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output_file = ensure_path(output_file)
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code_path = ensure_path(code_path)
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if output_file.exists() and not force_overwrite:
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msg.fail(force_msg, exits=1)
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if not data_path.exists():
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msg.fail(f"Couldn't find data path: {data_path}", exits=1)
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import_code(code_path)
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setup_gpu(use_gpu)
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apply(data_path, output_file, model, json_field, batch_size, n_process)
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@ -104,10 +113,6 @@ def apply(
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batch_size: int,
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n_process: int,
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):
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data_path = ensure_path(data_path)
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output_file = ensure_path(output_file)
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if not data_path.exists():
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msg.fail("Couldn't find data path.", data_path, exits=1)
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nlp = load_model(model)
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msg.good(f"Loaded model {model}")
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vocab = nlp.vocab
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