# coding: utf-8

"""
    Rapidata Asset API

    The API for the Rapidata Asset service

    The version of the OpenAPI document: v1
    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, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from rapidata.api_client.models.order_state import OrderState
from typing import Optional, Set
from typing_extensions import Self

class OrderModel(BaseModel):
    """
    OrderModel
    """ # noqa: E501
    id: StrictStr
    pipeline_id: StrictStr = Field(alias="pipelineId")
    order_date: Optional[datetime] = Field(alias="orderDate")
    customer_mail: StrictStr = Field(alias="customerMail")
    state: OrderState
    order_name: StrictStr = Field(alias="orderName")
    is_public: StrictBool = Field(alias="isPublic")
    failure_message: Optional[StrictStr] = Field(default=None, alias="failureMessage")
    __properties: ClassVar[List[str]] = ["id", "pipelineId", "orderDate", "customerMail", "state", "orderName", "isPublic", "failureMessage"]

    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 OrderModel 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,
        )
        # set to None if order_date (nullable) is None
        # and model_fields_set contains the field
        if self.order_date is None and "order_date" in self.model_fields_set:
            _dict['orderDate'] = None

        # set to None if failure_message (nullable) is None
        # and model_fields_set contains the field
        if self.failure_message is None and "failure_message" in self.model_fields_set:
            _dict['failureMessage'] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of OrderModel 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"),
            "pipelineId": obj.get("pipelineId"),
            "orderDate": obj.get("orderDate"),
            "customerMail": obj.get("customerMail"),
            "state": obj.get("state"),
            "orderName": obj.get("orderName"),
            "isPublic": obj.get("isPublic"),
            "failureMessage": obj.get("failureMessage")
        })
        return _obj


