# coding: utf-8

"""
    FinancialReports API

     Welcome to the FinancialReports API.  ### Access Levels This API is tiered based on data granularity.  | Level | Name | Description | | :--- | :--- | :--- | | **Level 1** | **Standard Access** | Access to raw PDF/XBRL metadata, company profiles, ISIC classifications, reference data, and **point-in-time audit trails**. | | **Level 2** | **Processed Filings** | Access to converted content (Markdown/JSON) and full-text search capabilities. | | **Level 3** | **RAG / Agent** | Access to specific extracted financial line items (Revenue, EBITDA, etc.) mapped to standard taxonomies, and access to the conversational RAG agent. |  ### Rate Limiting To ensure stability, this API uses a dual-layer rate limit: 1.  **Burst Limit:** A short-term speed limit (e.g., 5 requests/second) to prevent system overload. 2.  **Quota Limit:** A monthly allowance of total requests based on your subscription plan.  Check the response headers `X-RateLimit-Burst-Limit` and `X-RateLimit-Monthly-Remaining` for your current status.  ### Authentication All API requests must be authenticated via the **X-API-Key** header. 

    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, StrictStr
from typing import Any, ClassVar, Dict, List
from financial_reports_generated_client.models.isic_division import ISICDivision
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class ISICGroup(BaseModel):
    """
    ISICGroup
    """ # noqa: E501
    code: StrictStr = Field(description="ISIC Group code.")
    name: StrictStr = Field(description="ISIC Group name.")
    industry_group: ISICDivision = Field(description="Parent ISIC Division.")
    __properties: ClassVar[List[str]] = ["code", "name", "industry_group"]

    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 ISICGroup 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.
        """
        excluded_fields: Set[str] = set([
            "code",
            "name",
            "industry_group",
        ])

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

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

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

        _obj = cls.model_validate({
            "code": obj.get("code"),
            "name": obj.get("name"),
            "industry_group": ISICDivision.from_dict(obj["industry_group"]) if obj.get("industry_group") is not None else None
        })
        return _obj


