ai-content-maker/.venv/Lib/site-packages/pydantic/v1/parse.py

67 lines
1.8 KiB
Python

import json
import pickle
from enum import Enum
from pathlib import Path
from typing import Any, Callable, Union
from .types import StrBytes
class Protocol(str, Enum):
json = 'json'
pickle = 'pickle'
def load_str_bytes(
b: StrBytes,
*,
content_type: str = None,
encoding: str = 'utf8',
proto: Protocol = None,
allow_pickle: bool = False,
json_loads: Callable[[str], Any] = json.loads,
) -> Any:
if proto is None and content_type:
if content_type.endswith(('json', 'javascript')):
pass
elif allow_pickle and content_type.endswith('pickle'):
proto = Protocol.pickle
else:
raise TypeError(f'Unknown content-type: {content_type}')
proto = proto or Protocol.json
if proto == Protocol.json:
if isinstance(b, bytes):
b = b.decode(encoding)
return json_loads(b)
elif proto == Protocol.pickle:
if not allow_pickle:
raise RuntimeError('Trying to decode with pickle with allow_pickle=False')
bb = b if isinstance(b, bytes) else b.encode()
return pickle.loads(bb)
else:
raise TypeError(f'Unknown protocol: {proto}')
def load_file(
path: Union[str, Path],
*,
content_type: str = None,
encoding: str = 'utf8',
proto: Protocol = None,
allow_pickle: bool = False,
json_loads: Callable[[str], Any] = json.loads,
) -> Any:
path = Path(path)
b = path.read_bytes()
if content_type is None:
if path.suffix in ('.js', '.json'):
proto = Protocol.json
elif path.suffix == '.pkl':
proto = Protocol.pickle
return load_str_bytes(
b, proto=proto, content_type=content_type, encoding=encoding, allow_pickle=allow_pickle, json_loads=json_loads
)