# coding: utf-8

"""
    Hatchet API

    The Hatchet API

    The version of the OpenAPI document: 1.0.0
    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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from mtmaisdk.clients.rest.models.step_run_event_reason import StepRunEventReason
from mtmaisdk.clients.rest.models.step_run_event_severity import StepRunEventSeverity
from typing import Optional, Set
from typing_extensions import Self

class StepRunEvent(BaseModel):
    """
    StepRunEvent
    """ # noqa: E501
    id: StrictInt
    time_first_seen: datetime = Field(alias="timeFirstSeen")
    time_last_seen: datetime = Field(alias="timeLastSeen")
    step_run_id: Optional[StrictStr] = Field(default=None, alias="stepRunId")
    workflow_run_id: Optional[StrictStr] = Field(default=None, alias="workflowRunId")
    reason: StepRunEventReason
    severity: StepRunEventSeverity
    message: StrictStr
    count: StrictInt
    data: Optional[Dict[str, Any]] = None
    __properties: ClassVar[List[str]] = ["id", "timeFirstSeen", "timeLastSeen", "stepRunId", "workflowRunId", "reason", "severity", "message", "count", "data"]

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "timeFirstSeen": obj.get("timeFirstSeen"),
            "timeLastSeen": obj.get("timeLastSeen"),
            "stepRunId": obj.get("stepRunId"),
            "workflowRunId": obj.get("workflowRunId"),
            "reason": obj.get("reason"),
            "severity": obj.get("severity"),
            "message": obj.get("message"),
            "count": obj.get("count"),
            "data": obj.get("data")
        })
        return _obj


