# coding: utf-8

"""
    easybill REST API

     The first version of the easybill REST API. [CHANGELOG](https://api.easybill.de/rest/v1/CHANGELOG.md)  ## Authentication  You can choose between two available methods: `Basic Auth` or `Bearer Token`.  In each HTTP request, one of the following HTTP headers is required:  ``` # Basic Auth Authorization: Basic base64_encode('<email>:<api_key>') # Bearer Token Authorization: Bearer <api_key> ```  ## Limitations  ### Request Limit  * PLUS: 10 requests per minute * BUSINESS: 60 requests per minute  If the limit is exceeded, you will receive the HTTP error: `429 Too Many Requests`  ### Result Limit  All result lists are limited to 100 by default. This limit can be increased by the query parameter `limit` to a maximum of 1000.  ## Query filter  Many list resources can be filtered. In `/documents` you can filter e.g. by number with `/documents?number=111028654`. If you want to filter multiple numbers, you can either enter them separated by commas `/documents?number=111028654,222006895` or as an array `/documents?number[]=111028654&number[]=222006895`.  **Warning**: The maximum size of an HTTP request line in bytes is 4094. If this limit is exceeded, you will receive the HTTP error: `414 Request-URI Too Large`  ### Escape commas in query  You can escape commans in query `name=Patrick\\, Peter` if you submit the header `X-Easybill-Escape: true` in your request.  ## Property login_id  This is the login of your admin or employee account.  ## Date and Date-Time format Please use the timezone `Europe/Berlin`. * **date** = *Y-m-d* = `2016-12-31` * **date-time** = *Y-m-d H:i:s* = `2016-12-31 03:13:37`  Date or datetime can be `null` because the attributes have been added later and the entry is older.

    The version of the OpenAPI document: 1.96.0
    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 date
from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class ServiceDate(BaseModel):
    """
    This object is only available in document type INVOICE or CREDIT.
    """ # noqa: E501
    type: Optional[StrictStr] = Field(default=None, description="With DEFAULT no other fields are required and this message will be printed: 'Invoice date coincides with the time of supply'.<br/> For SERVICE or DELIVERY exactly one of the following fields must be set: date, date_from and date_to or text.")
    var_date: Optional[date] = Field(default=None, alias="date")
    date_from: Optional[date] = None
    date_to: Optional[date] = None
    text: Optional[StrictStr] = 'null'
    __properties: ClassVar[List[str]] = ["type", "date", "date_from", "date_to", "text"]

    @field_validator('type')
    def type_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(['DEFAULT', 'SERVICE', 'DELIVERY']):
            raise ValueError("must be one of enum values ('DEFAULT', 'SERVICE', 'DELIVERY')")
        return value

    model_config = ConfigDict(
        validate_by_name=True,
        validate_by_alias=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"""
        return json.dumps(to_jsonable_python(self.to_dict()))

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of ServiceDate 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 var_date (nullable) is None
        # and model_fields_set contains the field
        if self.var_date is None and "var_date" in self.model_fields_set:
            _dict['date'] = None

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

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "type": obj.get("type"),
            "date": obj.get("date"),
            "date_from": obj.get("date_from"),
            "date_to": obj.get("date_to"),
            "text": obj.get("text") if obj.get("text") is not None else 'null'
        })
        return _obj