varia.website/venv/lib/python3.11/site-packages/rich/json.py

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2024-11-19 14:01:39 +01:00
from pathlib import Path
from json import loads, dumps
from typing import Any, Callable, Optional, Union
from .text import Text
from .highlighter import JSONHighlighter, NullHighlighter
class JSON:
"""A renderable which pretty prints JSON.
Args:
json (str): JSON encoded data.
indent (Union[None, int, str], optional): Number of characters to indent by. Defaults to 2.
highlight (bool, optional): Enable highlighting. Defaults to True.
skip_keys (bool, optional): Skip keys not of a basic type. Defaults to False.
ensure_ascii (bool, optional): Escape all non-ascii characters. Defaults to False.
check_circular (bool, optional): Check for circular references. Defaults to True.
allow_nan (bool, optional): Allow NaN and Infinity values. Defaults to True.
default (Callable, optional): A callable that converts values that can not be encoded
in to something that can be JSON encoded. Defaults to None.
sort_keys (bool, optional): Sort dictionary keys. Defaults to False.
"""
def __init__(
self,
json: str,
indent: Union[None, int, str] = 2,
highlight: bool = True,
skip_keys: bool = False,
ensure_ascii: bool = False,
check_circular: bool = True,
allow_nan: bool = True,
default: Optional[Callable[[Any], Any]] = None,
sort_keys: bool = False,
) -> None:
data = loads(json)
json = dumps(
data,
indent=indent,
skipkeys=skip_keys,
ensure_ascii=ensure_ascii,
check_circular=check_circular,
allow_nan=allow_nan,
default=default,
sort_keys=sort_keys,
)
highlighter = JSONHighlighter() if highlight else NullHighlighter()
self.text = highlighter(json)
self.text.no_wrap = True
self.text.overflow = None
@classmethod
def from_data(
cls,
data: Any,
indent: Union[None, int, str] = 2,
highlight: bool = True,
skip_keys: bool = False,
ensure_ascii: bool = False,
check_circular: bool = True,
allow_nan: bool = True,
default: Optional[Callable[[Any], Any]] = None,
sort_keys: bool = False,
) -> "JSON":
"""Encodes a JSON object from arbitrary data.
Args:
data (Any): An object that may be encoded in to JSON
indent (Union[None, int, str], optional): Number of characters to indent by. Defaults to 2.
highlight (bool, optional): Enable highlighting. Defaults to True.
default (Callable, optional): Optional callable which will be called for objects that cannot be serialized. Defaults to None.
skip_keys (bool, optional): Skip keys not of a basic type. Defaults to False.
ensure_ascii (bool, optional): Escape all non-ascii characters. Defaults to False.
check_circular (bool, optional): Check for circular references. Defaults to True.
allow_nan (bool, optional): Allow NaN and Infinity values. Defaults to True.
default (Callable, optional): A callable that converts values that can not be encoded
in to something that can be JSON encoded. Defaults to None.
sort_keys (bool, optional): Sort dictionary keys. Defaults to False.
Returns:
JSON: New JSON object from the given data.
"""
json_instance: "JSON" = cls.__new__(cls)
json = dumps(
data,
indent=indent,
skipkeys=skip_keys,
ensure_ascii=ensure_ascii,
check_circular=check_circular,
allow_nan=allow_nan,
default=default,
sort_keys=sort_keys,
)
highlighter = JSONHighlighter() if highlight else NullHighlighter()
json_instance.text = highlighter(json)
json_instance.text.no_wrap = True
json_instance.text.overflow = None
return json_instance
def __rich__(self) -> Text:
return self.text
if __name__ == "__main__":
import argparse
import sys
parser = argparse.ArgumentParser(description="Pretty print json")
parser.add_argument(
"path",
metavar="PATH",
help="path to file, or - for stdin",
)
parser.add_argument(
"-i",
"--indent",
metavar="SPACES",
type=int,
help="Number of spaces in an indent",
default=2,
)
args = parser.parse_args()
from rich.console import Console
console = Console()
error_console = Console(stderr=True)
try:
if args.path == "-":
json_data = sys.stdin.read()
else:
json_data = Path(args.path).read_text()
except Exception as error:
error_console.print(f"Unable to read {args.path!r}; {error}")
sys.exit(-1)
console.print(JSON(json_data, indent=args.indent), soft_wrap=True)