# 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, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class ReportingModelJobSummary(BaseModel):
    """
    ReportingModelJobSummary
    """ # noqa: E501
    active_build: Optional[StrictInt] = None
    assignment_date: Optional[StrictStr] = None
    build_timestamp: Optional[StrictStr] = None
    client_id: Optional[StrictStr] = None
    client_name: Optional[StrictStr] = Field(default=None, description="Enriched from Postgres")
    job_id: Optional[StrictStr] = None
    model_type: Optional[StrictStr] = None
    model_version: Optional[StrictStr] = None
    org_name: Optional[StrictStr] = Field(default=None, description="Enriched from Postgres")
    prediction_count: Optional[StrictInt] = None
    __properties: ClassVar[List[str]] = ["active_build", "assignment_date", "build_timestamp", "client_id", "client_name", "job_id", "model_type", "model_version", "org_name", "prediction_count"]

    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 ReportingModelJobSummary 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 ReportingModelJobSummary from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "active_build": obj.get("active_build"),
            "assignment_date": obj.get("assignment_date"),
            "build_timestamp": obj.get("build_timestamp"),
            "client_id": obj.get("client_id"),
            "client_name": obj.get("client_name"),
            "job_id": obj.get("job_id"),
            "model_type": obj.get("model_type"),
            "model_version": obj.get("model_version"),
            "org_name": obj.get("org_name"),
            "prediction_count": obj.get("prediction_count")
        })
        return _obj


