serde.json

  1"""
  2Serialize and Deserialize in JSON format.
  3"""
  4
  5from typing import Any, AnyStr, overload, Optional, Union
  6
  7from .compat import T
  8from .de import Deserializer, from_dict
  9from .se import Serializer, to_dict
 10from .numpy import encode_numpy
 11
 12try:  # pragma: no cover
 13    import orjson
 14
 15    def json_dumps(obj: Any, **opts: Any) -> str:
 16        if "option" not in opts:
 17            opts["option"] = orjson.OPT_SERIALIZE_NUMPY
 18        return orjson.dumps(obj, **opts).decode()  # type: ignore
 19
 20    def json_loads(s: Union[str, bytes], **opts: Any) -> Any:
 21        return orjson.loads(s, **opts)
 22
 23except ImportError:
 24    import json
 25
 26    def json_dumps(obj: Any, **opts: Any) -> str:
 27        if "default" not in opts:
 28            opts["default"] = encode_numpy
 29        # compact output
 30        ensure_ascii = opts.pop("ensure_ascii", False)
 31        separators = opts.pop("separators", (",", ":"))
 32        return json.dumps(obj, ensure_ascii=ensure_ascii, separators=separators, **opts)
 33
 34    def json_loads(s: Union[str, bytes], **opts: Any) -> Any:
 35        return json.loads(s, **opts)
 36
 37
 38__all__ = ["from_json", "to_json"]
 39
 40
 41class JsonSerializer(Serializer[str]):
 42    @classmethod
 43    def serialize(cls, obj: Any, **opts: Any) -> str:
 44        return json_dumps(obj, **opts)
 45
 46
 47class JsonDeserializer(Deserializer[AnyStr]):
 48    @classmethod
 49    def deserialize(cls, data: AnyStr, **opts: Any) -> Any:
 50        return json_loads(data, **opts)
 51
 52
 53def to_json(
 54    obj: Any,
 55    cls: Optional[Any] = None,
 56    se: type[Serializer[str]] = JsonSerializer,
 57    reuse_instances: bool = False,
 58    convert_sets: bool = True,
 59    skip_none: bool = False,
 60    **opts: Any,
 61) -> str:
 62    """
 63    Serialize the object into JSON str. [orjson](https://github.com/ijl/orjson)
 64    will be used if installed.
 65
 66    You can pass any serializable `obj`. If you supply other keyword arguments,
 67    they will be passed in `dumps` function.
 68    By default, numpy objects are serialized, this behaviour can be customized with the `option`
 69    argument with [orjson](https://github.com/ijl/orjson#numpy), or the `default` argument with
 70    Python standard json library.
 71
 72    * `skip_none`: When set to True, any field in the class with a None value is excluded from the
 73    serialized output. Defaults to False.
 74
 75    If you want to use another json package, you can subclass `JsonSerializer` and implement
 76    your own logic.
 77    """
 78    return se.serialize(
 79        to_dict(obj, c=cls, reuse_instances=reuse_instances, convert_sets=convert_sets), **opts
 80    )
 81
 82
 83@overload
 84def from_json(
 85    c: type[T], s: AnyStr, de: type[Deserializer[AnyStr]] = JsonDeserializer, **opts: Any
 86) -> T: ...
 87
 88
 89# For Union, Optional etc.
 90@overload
 91def from_json(
 92    c: Any, s: AnyStr, de: type[Deserializer[AnyStr]] = JsonDeserializer, **opts: Any
 93) -> Any: ...
 94
 95
 96def from_json(
 97    c: Any, s: AnyStr, de: type[Deserializer[AnyStr]] = JsonDeserializer, **opts: Any
 98) -> Any:
 99    """
100    Deserialize from JSON into the object. [orjson](https://github.com/ijl/orjson) will be used
101    if installed.
102
103    `c` is a class obejct and `s` is JSON bytes or str. If you supply other keyword arguments,
104    they will be passed in `loads` function.
105
106    If you want to use another json package, you can subclass `JsonDeserializer` and implement
107    your own logic.
108    """
109    return from_dict(c, de.deserialize(s, **opts), reuse_instances=False)