# coding: utf-8

"""
    STACKIT Marketplace API

    API to manage STACKIT Marketplace.

    The version of the OpenAPI document: 1
    Contact: marketplace@stackit.cloud
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, field_validator
from typing_extensions import Annotated, Self


class InquirySuggestProduct(BaseModel):
    """
    Suggest a product.
    """  # noqa: E501

    company_name: Annotated[str, Field(strict=True, max_length=512)] = Field(
        description="The suggested product's company name.", alias="companyName"
    )
    message: Optional[Annotated[str, Field(strict=True, max_length=512)]] = Field(
        default=None, description="A custom message."
    )
    name: Annotated[str, Field(strict=True, max_length=512)] = Field(description="The suggested product name.")
    url: Annotated[str, Field(strict=True, max_length=512)] = Field(description="The suggested product's website URL.")
    __properties: ClassVar[List[str]] = ["companyName", "message", "name", "url"]

    @field_validator("company_name")
    def company_name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[a-zA-ZäüöÄÜÖ0-9,.!?()@\/:=\n\t -]+$", value):
            raise ValueError(r"must validate the regular expression /^[a-zA-ZäüöÄÜÖ0-9,.!?()@\/:=\n\t -]+$/")
        return value

    @field_validator("message")
    def message_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if value is None:
            return value

        if not re.match(r"^[a-zA-ZäüöÄÜÖ0-9,.!?()@\/:=\n\t -]+$", value):
            raise ValueError(r"must validate the regular expression /^[a-zA-ZäüöÄÜÖ0-9,.!?()@\/:=\n\t -]+$/")
        return value

    @field_validator("name")
    def name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[a-zA-ZäüöÄÜÖ0-9,.!?()@\/:=\n\t -]+$", value):
            raise ValueError(r"must validate the regular expression /^[a-zA-ZäüöÄÜÖ0-9,.!?()@\/:=\n\t -]+$/")
        return value

    @field_validator("url")
    def url_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^(https?:\/\/)?([\da-z\.-]+)\.([a-z\.]{2,6})([\/\w \.-]*)*\/?$", value):
            raise ValueError(
                r"must validate the regular expression /^(https?:\/\/)?([\da-z\.-]+)\.([a-z\.]{2,6})([\/\w \.-]*)*\/?$/"
            )
        return value

    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 InquirySuggestProduct 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,
        )
        return _dict

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

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

        _obj = cls.model_validate(
            {
                "companyName": obj.get("companyName"),
                "message": obj.get("message"),
                "name": obj.get("name"),
                "url": obj.get("url"),
            }
        )
        return _obj
