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import click |
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import json |
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from copy import deepcopy |
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from pathlib import Path |
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@click.group(invoke_without_command=True) |
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@click.pass_context |
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def cli(ctx): |
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if ctx.invoked_subcommand is None: |
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click.echo("CLI invoked without subcommand") |
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else: |
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click.echo("Launching of command: %s" % ctx.invoked_subcommand) |
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@cli.command() |
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@click.option("--json_name", default="labels.json", help="Name of the json label file") |
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@click.option("--keep_col_sep", is_flag=True, help="Whether to keep column separator character") |
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@click.option("--rm_ool_chars", is_flag=True, help="Whether to remove out of line chars") |
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def formatdataset(json_name: str, keep_col_sep=True, rm_ool_chars=False): |
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""" |
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Prepare labels for training by removing column separators or out-of-line characters |
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""" |
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with open(json_name, "r") as f: |
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info = json.load(f) |
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charset = set() |
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new_dict = deepcopy(info) |
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for split_name, split_dict in info["ground_truth"].items(): |
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for key in split_dict: |
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if rm_ool_chars: |
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for char in ["!", "?"]: |
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if char in split_dict[key]["text"]: |
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cell_labels = split_dict[key]["text"].split("/") |
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for i, cell_label in enumerate(cell_labels): |
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if char in cell_label: |
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cell_labels[i] = cell_label[: cell_label.find(char)] |
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split_dict[key]["text"] = "/".join(cell_labels) |
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if not keep_col_sep: |
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split_dict[key]["text"] = split_dict[key]["text"].replace("/", " ").replace("¤", "") |
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line_charset = set([character for character in split_dict[key]["text"]]) |
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charset = charset.union(line_charset) |
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new_dict['ground_truth'][split_name]=split_dict |
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new_dict["charset"] = sorted(list(charset)) |
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output_name = Path(json_name).parent.joinpath("formatted_" + Path(json_name).name) |
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with open(output_name, "w") as f: |
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json.dump(new_dict, f) |
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if __name__ == "__main__": |
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cli() |