# 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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta
from hatchet_sdk.clients.rest.models.job import Job
from hatchet_sdk.clients.rest.models.job_run_status import JobRunStatus
from typing import Optional, Set
from typing_extensions import Self


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

    metadata: APIResourceMeta
    tenant_id: StrictStr = Field(alias="tenantId")
    workflow_run_id: StrictStr = Field(alias="workflowRunId")
    workflow_run: Optional[WorkflowRun] = Field(default=None, alias="workflowRun")
    job_id: StrictStr = Field(alias="jobId")
    job: Optional[Job] = None
    ticker_id: Optional[StrictStr] = Field(default=None, alias="tickerId")
    step_runs: Optional[List[StepRun]] = Field(default=None, alias="stepRuns")
    status: JobRunStatus
    result: Optional[Dict[str, Any]] = None
    started_at: Optional[datetime] = Field(default=None, alias="startedAt")
    finished_at: Optional[datetime] = Field(default=None, alias="finishedAt")
    timeout_at: Optional[datetime] = Field(default=None, alias="timeoutAt")
    cancelled_at: Optional[datetime] = Field(default=None, alias="cancelledAt")
    cancelled_reason: Optional[StrictStr] = Field(default=None, alias="cancelledReason")
    cancelled_error: Optional[StrictStr] = Field(default=None, alias="cancelledError")
    __properties: ClassVar[List[str]] = [
        "metadata",
        "tenantId",
        "workflowRunId",
        "workflowRun",
        "jobId",
        "job",
        "tickerId",
        "stepRuns",
        "status",
        "result",
        "startedAt",
        "finishedAt",
        "timeoutAt",
        "cancelledAt",
        "cancelledReason",
        "cancelledError",
    ]

    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 JobRun 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,
        )
        # override the default output from pydantic by calling `to_dict()` of metadata
        if self.metadata:
            _dict["metadata"] = self.metadata.to_dict()
        # override the default output from pydantic by calling `to_dict()` of workflow_run
        if self.workflow_run:
            _dict["workflowRun"] = self.workflow_run.to_dict()
        # override the default output from pydantic by calling `to_dict()` of job
        if self.job:
            _dict["job"] = self.job.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in step_runs (list)
        _items = []
        if self.step_runs:
            for _item_step_runs in self.step_runs:
                if _item_step_runs:
                    _items.append(_item_step_runs.to_dict())
            _dict["stepRuns"] = _items
        return _dict

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

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

        _obj = cls.model_validate(
            {
                "metadata": (
                    APIResourceMeta.from_dict(obj["metadata"])
                    if obj.get("metadata") is not None
                    else None
                ),
                "tenantId": obj.get("tenantId"),
                "workflowRunId": obj.get("workflowRunId"),
                "workflowRun": (
                    WorkflowRun.from_dict(obj["workflowRun"])
                    if obj.get("workflowRun") is not None
                    else None
                ),
                "jobId": obj.get("jobId"),
                "job": (
                    Job.from_dict(obj["job"]) if obj.get("job") is not None else None
                ),
                "tickerId": obj.get("tickerId"),
                "stepRuns": (
                    [StepRun.from_dict(_item) for _item in obj["stepRuns"]]
                    if obj.get("stepRuns") is not None
                    else None
                ),
                "status": obj.get("status"),
                "result": obj.get("result"),
                "startedAt": obj.get("startedAt"),
                "finishedAt": obj.get("finishedAt"),
                "timeoutAt": obj.get("timeoutAt"),
                "cancelledAt": obj.get("cancelledAt"),
                "cancelledReason": obj.get("cancelledReason"),
                "cancelledError": obj.get("cancelledError"),
            }
        )
        return _obj


from hatchet_sdk.clients.rest.models.step_run import StepRun
from hatchet_sdk.clients.rest.models.workflow_run import WorkflowRun

# TODO: Rewrite to not use raise_errors
JobRun.model_rebuild(raise_errors=False)
