# coding: utf-8

"""
    Dropbox Sign API

    Dropbox Sign v3 API

    The version of the OpenAPI document: 3.0.0
    Contact: apisupport@hellosign.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 ConfigDict, Field, StrictBool, StrictInt, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from dropbox_sign.models.template_response_document_form_field_base import TemplateResponseDocumentFormFieldBase
from dropbox_sign.models.template_response_field_avg_text_length import TemplateResponseFieldAvgTextLength
from typing import Optional, Set, Tuple
from typing_extensions import Self
import io
from pydantic import StrictBool
from typing import Union

class TemplateResponseDocumentFormFieldText(TemplateResponseDocumentFormFieldBase):
    """
    This class extends `TemplateResponseDocumentFormFieldBase`
    """ # noqa: E501
    type: StrictStr = Field(description="The type of this form field. See [field types](/api/reference/constants/#field-types).  * Text Field uses `TemplateResponseDocumentFormFieldText` * Dropdown Field uses `TemplateResponseDocumentFormFieldDropdown` * Hyperlink Field uses `TemplateResponseDocumentFormFieldHyperlink` * Checkbox Field uses `TemplateResponseDocumentFormFieldCheckbox` * Radio Field uses `TemplateResponseDocumentFormFieldRadio` * Signature Field uses `TemplateResponseDocumentFormFieldSignature` * Date Signed Field uses `TemplateResponseDocumentFormFieldDateSigned` * Initials Field uses `TemplateResponseDocumentFormFieldInitials`")
    avg_text_length: Optional[TemplateResponseFieldAvgTextLength] = None
    is_multiline: Optional[StrictBool] = Field(default=None, description="Whether this form field is multiline text.", alias="isMultiline")
    original_font_size: Optional[StrictInt] = Field(default=None, description="Original font size used in this form field's text.", alias="originalFontSize")
    font_family: Optional[StrictStr] = Field(default=None, description="Font family used in this form field's text.", alias="fontFamily")
    validation_type: Optional[StrictStr] = Field(default=None, description="Each text field may contain a `validation_type` parameter. Check out the list of [validation types](https://faq.hellosign.com/hc/en-us/articles/217115577) to learn more about the possible values.")
    __properties: ClassVar[List[str]] = ["type", "api_id", "name", "signer", "x", "y", "width", "height", "required", "group", "avg_text_length", "isMultiline", "originalFontSize", "fontFamily", "validation_type"]

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

        if value not in set(['numbers_only', 'letters_only', 'phone_number', 'bank_routing_number', 'bank_account_number', 'email_address', 'zip_code', 'social_security_number', 'employer_identification_number', 'custom_regex']):
            raise ValueError("must be one of enum values ('numbers_only', 'letters_only', 'phone_number', 'bank_routing_number', 'bank_account_number', 'email_address', 'zip_code', 'social_security_number', 'employer_identification_number', 'custom_regex')")
        return value

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        arbitrary_types_allowed=True,
    )


    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())

    def to_json_form_params(self, excluded_fields: Set[str] = None) -> List[Tuple[str, str]]:
        data: List[Tuple[str, str]] = []

        for key, value in self.to_dict(excluded_fields).items():
            if isinstance(value, (int, str, bool)):
                data.append((key, value))
            else:
                data.append((key, json.dumps(value, ensure_ascii=False)))

        return data

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of TemplateResponseDocumentFormFieldText from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self, excluded_fields: Set[str] = None) -> 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.
        """

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of avg_text_length
        if self.avg_text_length:
            _dict['avg_text_length'] = self.avg_text_length.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of TemplateResponseDocumentFormFieldText 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") if obj.get("type") is not None else 'text',
            "api_id": obj.get("api_id"),
            "name": obj.get("name"),
            "signer": obj.get("signer"),
            "x": obj.get("x"),
            "y": obj.get("y"),
            "width": obj.get("width"),
            "height": obj.get("height"),
            "required": obj.get("required"),
            "group": obj.get("group"),
            "avg_text_length": TemplateResponseFieldAvgTextLength.from_dict(obj["avg_text_length"]) if obj.get("avg_text_length") is not None else None,
            "isMultiline": obj.get("isMultiline"),
            "originalFontSize": obj.get("originalFontSize"),
            "fontFamily": obj.get("fontFamily"),
            "validation_type": obj.get("validation_type")
        })
        return _obj

    @classmethod
    def init(cls, data: Any) -> Self:
        """
        Attempt to instantiate and hydrate a new instance of this class
        """
        if isinstance(data, str):
            data = json.loads(data)

        return cls.from_dict(data)

    @classmethod
    def openapi_types(cls) -> Dict[str, str]:
        return {
            "type": "(str,)",
            "avg_text_length": "(TemplateResponseFieldAvgTextLength,)",
            "is_multiline": "(bool,)",
            "original_font_size": "(int,)",
            "font_family": "(str,)",
            "validation_type": "(str,)",
            "api_id": "(str,)",
            "name": "(str,)",
            "signer": "(int, str,)",
            "x": "(int,)",
            "y": "(int,)",
            "width": "(int,)",
            "height": "(int,)",
            "required": "(bool,)",
            "group": "(str,)",
        }

    @classmethod
    def openapi_type_is_array(cls, property_name: str) -> bool:
        return property_name in [
        ]

