# coding: utf-8

"""
    Financial Reports API

    Welcome to the Financial Reports API, your gateway to European company filings, financial data, and corporate information. All API requests must be authenticated. Authentication is performed by including your unique API key in the **X-API-Key** HTTP header. Please use the \"Authorize\" button to set your key and try out the endpoints.

    The version of the OpenAPI document: 1.0.0
    Contact: api@financialreports.eu
    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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class CompanyMinimal(BaseModel):
    """
    CompanyMinimal
    """ # noqa: E501
    id: StrictInt = Field(description="Unique identifier for the company.")
    name: StrictStr = Field(description="Company name.")
    tagline: StrictStr = Field(description="A short, one-liner describing the company's value proposition.")
    isins: List[StrictStr] = Field(description="List of International Securities Identification Numbers (ISINs) associated with the company.")
    lei: StrictStr = Field(description="Legal Entity Identifier (ISO 17442).")
    sub_industry_code: Optional[StrictStr] = Field(description="ISIC classification code classifying the company.")
    country_code: Optional[StrictStr] = Field(description="ISO 3166-1 alpha-2 country code of the company's primary registration or headquarters.")
    __properties: ClassVar[List[str]] = ["id", "name", "tagline", "isins", "lei", "sub_industry_code", "country_code"]

    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 CompanyMinimal 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.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set([
            "id",
            "name",
            "tagline",
            "lei",
            "sub_industry_code",
            "country_code",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # set to None if sub_industry_code (nullable) is None
        # and model_fields_set contains the field
        if self.sub_industry_code is None and "sub_industry_code" in self.model_fields_set:
            _dict['sub_industry_code'] = None

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

        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of CompanyMinimal 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"),
            "name": obj.get("name"),
            "tagline": obj.get("tagline"),
            "isins": obj.get("isins"),
            "lei": obj.get("lei"),
            "sub_industry_code": obj.get("sub_industry_code"),
            "country_code": obj.get("country_code")
        })
        return _obj


