mirror of https://github.com/morpheus65535/bazarr
140 lines
4.9 KiB
Python
140 lines
4.9 KiB
Python
from pathlib import Path
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from json import loads, dumps
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from typing import Any, Callable, Optional, Union
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from .text import Text
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from .highlighter import JSONHighlighter, NullHighlighter
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class JSON:
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"""A renderable which pretty prints JSON.
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Args:
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json (str): JSON encoded data.
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indent (Union[None, int, str], optional): Number of characters to indent by. Defaults to 2.
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highlight (bool, optional): Enable highlighting. Defaults to True.
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skip_keys (bool, optional): Skip keys not of a basic type. Defaults to False.
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ensure_ascii (bool, optional): Escape all non-ascii characters. Defaults to False.
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check_circular (bool, optional): Check for circular references. Defaults to True.
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allow_nan (bool, optional): Allow NaN and Infinity values. Defaults to True.
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default (Callable, optional): A callable that converts values that can not be encoded
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in to something that can be JSON encoded. Defaults to None.
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sort_keys (bool, optional): Sort dictionary keys. Defaults to False.
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"""
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def __init__(
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self,
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json: str,
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indent: Union[None, int, str] = 2,
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highlight: bool = True,
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skip_keys: bool = False,
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ensure_ascii: bool = False,
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check_circular: bool = True,
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allow_nan: bool = True,
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default: Optional[Callable[[Any], Any]] = None,
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sort_keys: bool = False,
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) -> None:
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data = loads(json)
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json = dumps(
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data,
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indent=indent,
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skipkeys=skip_keys,
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ensure_ascii=ensure_ascii,
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check_circular=check_circular,
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allow_nan=allow_nan,
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default=default,
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sort_keys=sort_keys,
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)
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highlighter = JSONHighlighter() if highlight else NullHighlighter()
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self.text = highlighter(json)
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self.text.no_wrap = True
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self.text.overflow = None
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@classmethod
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def from_data(
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cls,
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data: Any,
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indent: Union[None, int, str] = 2,
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highlight: bool = True,
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skip_keys: bool = False,
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ensure_ascii: bool = False,
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check_circular: bool = True,
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allow_nan: bool = True,
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default: Optional[Callable[[Any], Any]] = None,
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sort_keys: bool = False,
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) -> "JSON":
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"""Encodes a JSON object from arbitrary data.
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Args:
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data (Any): An object that may be encoded in to JSON
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indent (Union[None, int, str], optional): Number of characters to indent by. Defaults to 2.
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highlight (bool, optional): Enable highlighting. Defaults to True.
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default (Callable, optional): Optional callable which will be called for objects that cannot be serialized. Defaults to None.
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skip_keys (bool, optional): Skip keys not of a basic type. Defaults to False.
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ensure_ascii (bool, optional): Escape all non-ascii characters. Defaults to False.
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check_circular (bool, optional): Check for circular references. Defaults to True.
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allow_nan (bool, optional): Allow NaN and Infinity values. Defaults to True.
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default (Callable, optional): A callable that converts values that can not be encoded
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in to something that can be JSON encoded. Defaults to None.
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sort_keys (bool, optional): Sort dictionary keys. Defaults to False.
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Returns:
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JSON: New JSON object from the given data.
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"""
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json_instance: "JSON" = cls.__new__(cls)
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json = dumps(
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data,
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indent=indent,
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skipkeys=skip_keys,
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ensure_ascii=ensure_ascii,
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check_circular=check_circular,
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allow_nan=allow_nan,
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default=default,
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sort_keys=sort_keys,
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)
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highlighter = JSONHighlighter() if highlight else NullHighlighter()
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json_instance.text = highlighter(json)
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json_instance.text.no_wrap = True
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json_instance.text.overflow = None
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return json_instance
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def __rich__(self) -> Text:
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return self.text
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if __name__ == "__main__":
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import argparse
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import sys
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parser = argparse.ArgumentParser(description="Pretty print json")
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parser.add_argument(
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"path",
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metavar="PATH",
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help="path to file, or - for stdin",
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)
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parser.add_argument(
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"-i",
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"--indent",
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metavar="SPACES",
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type=int,
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help="Number of spaces in an indent",
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default=2,
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)
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args = parser.parse_args()
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from rich.console import Console
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console = Console()
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error_console = Console(stderr=True)
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try:
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if args.path == "-":
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json_data = sys.stdin.read()
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else:
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json_data = Path(args.path).read_text()
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except Exception as error:
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error_console.print(f"Unable to read {args.path!r}; {error}")
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sys.exit(-1)
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console.print(JSON(json_data, indent=args.indent), soft_wrap=True)
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