3RNN/Lib/site-packages/rich/json.py
2024-05-26 19:49:15 +02:00

140 lines
4.9 KiB
Python

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)