# 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 typing_extensions import Annotated
from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta
from hatchet_sdk.clients.rest.models.scheduled_workflows_method import (
    ScheduledWorkflowsMethod,
)
from hatchet_sdk.clients.rest.models.workflow_run_status import WorkflowRunStatus
from typing import Optional, Set
from typing_extensions import Self


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

    metadata: APIResourceMeta
    tenant_id: StrictStr = Field(alias="tenantId")
    workflow_version_id: StrictStr = Field(alias="workflowVersionId")
    workflow_id: StrictStr = Field(alias="workflowId")
    workflow_name: StrictStr = Field(alias="workflowName")
    trigger_at: datetime = Field(alias="triggerAt")
    input: Optional[Dict[str, Any]] = None
    additional_metadata: Optional[Dict[str, Any]] = Field(
        default=None, alias="additionalMetadata"
    )
    workflow_run_created_at: Optional[datetime] = Field(
        default=None, alias="workflowRunCreatedAt"
    )
    workflow_run_name: Optional[StrictStr] = Field(
        default=None, alias="workflowRunName"
    )
    workflow_run_status: Optional[WorkflowRunStatus] = Field(
        default=None, alias="workflowRunStatus"
    )
    workflow_run_id: Optional[
        Annotated[str, Field(min_length=36, strict=True, max_length=36)]
    ] = Field(default=None, alias="workflowRunId")
    method: ScheduledWorkflowsMethod
    priority: Optional[Annotated[int, Field(le=3, strict=True, ge=1)]] = None
    __properties: ClassVar[List[str]] = [
        "metadata",
        "tenantId",
        "workflowVersionId",
        "workflowId",
        "workflowName",
        "triggerAt",
        "input",
        "additionalMetadata",
        "workflowRunCreatedAt",
        "workflowRunName",
        "workflowRunStatus",
        "workflowRunId",
        "method",
        "priority",
    ]

    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 ScheduledWorkflows 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()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of ScheduledWorkflows 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"),
                "workflowVersionId": obj.get("workflowVersionId"),
                "workflowId": obj.get("workflowId"),
                "workflowName": obj.get("workflowName"),
                "triggerAt": obj.get("triggerAt"),
                "input": obj.get("input"),
                "additionalMetadata": obj.get("additionalMetadata"),
                "workflowRunCreatedAt": obj.get("workflowRunCreatedAt"),
                "workflowRunName": obj.get("workflowRunName"),
                "workflowRunStatus": obj.get("workflowRunStatus"),
                "workflowRunId": obj.get("workflowRunId"),
                "method": obj.get("method"),
                "priority": obj.get("priority"),
            }
        )
        return _obj
