# coding: utf-8

"""
    Zuora API Reference

    REST API reference for the Zuora Billing, Payments, and Central Platform! Check out the [REST API Overview](https://www.zuora.com/developer/api-references/api/overview/).

    The version of the OpenAPI document: 2024-05-20
    Contact: docs@zuora.com
    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 pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class GetMassUpdateResponse(BaseModel):
    """
    GetMassUpdateResponse
    """ # noqa: E501
    # avoid validation
    def __init__(self, **kwargs):
        # Directly assign values without validation using `construct()`
        model = self.construct(**kwargs)
        self.__dict__.update(model.__dict__)

        _dict_all = convert_snake_dict_to_camel(kwargs, self.model_fields, self.__properties)

        _dict = self.to_alias_dict(_dict_all)
        for field_name, field_info in self.model_fields.items():
            alias = field_info.alias or field_name
            if alias in _dict:
                self.__dict__[field_name] = _dict.get(alias)
        self.update_additional_properties(self, _dict_all)
        pass

    def __setattr__(self, name, value):
        # Override setattr to bypass validation when setting attributes
        object.__setattr__(self, name, value)

    action_type: Optional[StrictStr] = Field(default=None, description="Type of mass action. ", alias="actionType")
    ended_on: Optional[StrictStr] = Field(default=None, description="Date and time that the mass action was completed. The format is `yyyy-MM-dd hh:mm:ss`. ", alias="endedOn")
    error_count: Optional[StrictStr] = Field(default=None, description="Total number of failed records.  This field is updated in real time. When the mass action **status** is Processing, this field returns the number of records that have failed so far. When the mass action **status** is Pending, this field is null. ", alias="errorCount")
    input_size: Optional[StrictInt] = Field(default=None, description="Size of the input file in bytes. ", alias="inputSize")
    output_size: Optional[StrictInt] = Field(default=None, description="Size of the response file in bytes. ", alias="outputSize")
    output_type: Optional[StrictStr] = Field(default=None, description="Type of output for the response file. The following table describes the output type.  | Output Type    | Description                         | |----------------|-------------------------------------| | (url:.csv.zip) | URL pointing to a zipped .csv file. | ", alias="outputType")
    output_url: Optional[StrictStr] = Field(default=None, description="URL to download the response file. The response file is a zipped .csv file.  The response file is identical to the file you uploaded to perform the mass action, with additional columns providing information about the outcome of each record.  This field only returns a value when the mass action **status** is Completed or Stopped. Otherwise, this field is null. ", alias="outputURL")
    processed_count: Optional[StrictStr] = Field(default=None, description="Total number of processed records. This field is equal to the sum of `errorCount` and `successCount`.  This field is updated in real time. When the mass action **status** is Processing, this field returns the number of records that have been processed so far. When the mass action **status** is Pending, this field is null. ", alias="processedCount")
    started_on: Optional[StrictStr] = Field(default=None, description="Date and time that Zuora started processing the mass action. The format is `yyyy-MM-dd hh:mm:ss`. ", alias="startedOn")
    status: Optional[StrictStr] = Field(default=None, description="Status of the mass action. The following table describes the mass action statuses.  | Status     | Description                                                                | |------------|----------------------------------------------------------------------------| | Pending    | Mass action has not yet started being processed.                           | | Processing | Mass action is in progress.                                                | | Stopping   | Mass action is in the process of stopping, but has not yet stopped.        | | Stopped    | Mass action has stopped.                                                   | | Completed  | Mass action was successfully completed. There may still be failed records. | | Failed     | Mass action failed. No records are processed. No response file is created. | ")
    success: Optional[StrictBool] = Field(default=None, description="Returns `true` if the request was processed successfully. ")
    success_count: Optional[StrictStr] = Field(default=None, description="Total number of successful records. This field is updated in real time. When the mass action **status** is Processing, this field returns the number of records that have succeeded so far. When the mass action **status** is Pending, this field is null. ", alias="successCount")
    total_count: Optional[StrictStr] = Field(default=None, description="Total number of records in the uploaded mass action file. When the mass action **status** is Pending, this field is null. ", alias="totalCount")
    uploaded_by: Optional[StrictStr] = Field(default=None, description="Email of the person who uploaded the mass action file. ", alias="uploadedBy")
    uploaded_on: Optional[StrictStr] = Field(default=None, description="Date and time that the mass action file was uploaded. The format is `yyyy-MM-dd hh:mm:ss`. ", alias="uploadedOn")
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["actionType", "endedOn", "errorCount", "inputSize", "outputSize", "outputType", "outputURL", "processedCount", "startedOn", "status", "success", "successCount", "totalCount", "uploadedBy", "uploadedOn"]

    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 GetMassUpdateResponse 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.
        * Fields in `self.additional_properties` are added to the output dict.
        """
        excluded_fields: Set[str] = set([
            "additional_properties",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # puts key-value pairs in additional_properties in the top level
        if self.additional_properties is not None:
            for _key, _value in self.additional_properties.items():
                _dict[_key] = _value

        return _dict

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

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

        obj = convert_snake_dict_to_camel(obj, cls.model_fields, cls.__properties)

        _obj = cls.model_validate(cls.to_alias_dict(obj))
        return cls.update_additional_properties(_obj, obj)

    @classmethod
    def update_additional_properties(cls, obj, _dict: Optional[Dict[str, Any]]):
        # store additional fields in additional_properties

        # store additional fields in additional_properties
        for _key in _dict.keys():
            if _key not in cls.__properties:
                obj.additional_properties[_key] = _dict.get(_key)


        return obj
        pass

    @classmethod
    def to_alias_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Dict[str, Any]]:

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

        return {
            "actionType": obj.get("actionType"),
            "endedOn": obj.get("endedOn"),
            "errorCount": obj.get("errorCount"),
            "inputSize": obj.get("inputSize"),
            "outputSize": obj.get("outputSize"),
            "outputType": obj.get("outputType"),
            "outputURL": obj.get("outputURL"),
            "processedCount": obj.get("processedCount"),
            "startedOn": obj.get("startedOn"),
            "status": obj.get("status"),
            "success": obj.get("success"),
            "successCount": obj.get("successCount"),
            "totalCount": obj.get("totalCount"),
            "uploadedBy": obj.get("uploadedBy"),
            "uploadedOn": obj.get("uploadedOn")
        }
        return _obj


def convert_snake_dict_to_camel(_dict: dict, model_fields, properties):
    if not isinstance(_dict, dict):
        return _dict
    new_dict = {}
    for k, v in _dict.items():
        if k in model_fields:
            # model_fields: key is attribute name like bill_to_contact,
            alias = model_fields.get(k).alias or k
            new_dict[alias] = v
            pass
        else:
            new_key = snake_to_camel(k)
            if properties is not None and isinstance(properties, list) and new_key in properties:
                new_dict[new_key] = v
            else:
                new_dict[k] = v
    return new_dict
    pass


def snake_to_camel(name):
    if name is None or '_' not in name:
        return name
    components = name.split('_')
    return components[0] + ''.join(x.title() for x in components[1:])
