# coding: utf-8

"""
    Neurograph Core

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: 1.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class KnowledgeAssertion(BaseModel):
    """
    KnowledgeAssertion
    """ # noqa: E501
    assertion_id: Optional[StrictInt] = None
    client_id: Optional[StrictStr] = None
    confidence: Optional[Union[StrictFloat, StrictInt]] = None
    created_at: Optional[StrictStr] = None
    predicate: Optional[StrictStr] = None
    source_artifact_id: Optional[StrictInt] = None
    source_kind: Optional[StrictStr] = None
    source_ref: Optional[StrictStr] = None
    status: Optional[StrictStr] = None
    subject_entity_id: Optional[StrictStr] = None
    valid_from: Optional[StrictStr] = None
    valid_to: Optional[StrictStr] = None
    value_json: Optional[Dict[str, Any]] = None
    __properties: ClassVar[List[str]] = ["assertion_id", "client_id", "confidence", "created_at", "predicate", "source_artifact_id", "source_kind", "source_ref", "status", "subject_entity_id", "valid_from", "valid_to", "value_json"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of KnowledgeAssertion from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of KnowledgeAssertion from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "assertion_id": obj.get("assertion_id"),
            "client_id": obj.get("client_id"),
            "confidence": obj.get("confidence"),
            "created_at": obj.get("created_at"),
            "predicate": obj.get("predicate"),
            "source_artifact_id": obj.get("source_artifact_id"),
            "source_kind": obj.get("source_kind"),
            "source_ref": obj.get("source_ref"),
            "status": obj.get("status"),
            "subject_entity_id": obj.get("subject_entity_id"),
            "valid_from": obj.get("valid_from"),
            "valid_to": obj.get("valid_to"),
            "value_json": obj.get("value_json")
        })
        return _obj


