# 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 json
import pprint
import re  # noqa: F401
from datetime import datetime
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing_extensions import Self

from hatchet_sdk.clients.rest.models.v1_task_event_type import V1TaskEventType


class V1TaskEvent(BaseModel):
    """
    V1TaskEvent
    """  # noqa: E501

    id: StrictInt
    task_id: StrictStr = Field(alias="taskId")
    timestamp: datetime
    event_type: V1TaskEventType = Field(alias="eventType")
    message: StrictStr
    error_message: Optional[StrictStr] = Field(default=None, alias="errorMessage")
    output: Optional[StrictStr] = None
    worker_id: Optional[StrictStr] = Field(default=None, alias="workerId")
    task_display_name: Optional[StrictStr] = Field(
        default=None, alias="taskDisplayName"
    )
    __properties: ClassVar[List[str]] = [
        "id",
        "taskId",
        "timestamp",
        "eventType",
        "message",
        "errorMessage",
        "output",
        "workerId",
        "taskDisplayName",
    ]

    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 V1TaskEvent 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 V1TaskEvent 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"),
                "taskId": obj.get("taskId"),
                "timestamp": obj.get("timestamp"),
                "eventType": obj.get("eventType"),
                "message": obj.get("message"),
                "errorMessage": obj.get("errorMessage"),
                "output": obj.get("output"),
                "workerId": obj.get("workerId"),
                "taskDisplayName": obj.get("taskDisplayName"),
            }
        )
        return _obj
