# coding: utf-8

"""
    Eazyrent core API

    EazyRent Core API ====================  Description -------------  The EazyRent API is a powerful tool, designed to automate and streamline the tenant application process for professionals in the real estate and insurance sectors.  Our API leverages advanced technologies like Optical Character Recognition (OCR) and Machine Learning to collect, analyze, and verify tenant application documents.  The API helps clients detect fraudulent submissions and assess the reliability of potential tenants, ensuring a secure and efficient tenant selection process.  Target Audience ----------------   * **Real Estate Agencies and Social Housing Providers:** Professionals who need a reliable solution to evaluate tenant applications quickly and accurately.   * **Rent Guarantee Insurers:** Companies seeking to verify the credibility of tenant applications and assess eligibility for rent payment guarantees.   Purpose --------  The purpose of the EazyRent API is to enable seamless interaction with our tenant application system. It allows clients to integrate our automated document collection, analysis, and verification capabilities directly into their own workflows. By using our API, businesses can streamline operations, reduce fraud risk, and make well-informed decisions in the tenant selection process.   How to use this API ---------------------  To start using the EazyRent API, please refer to our comprehensive online documentation, which includes detailed information on API endpoints, authentication, and integration examples. You can access the documentation [here](https://docs.eazyrent.fr). This resource will guide you through the steps needed to integrate our API into your existing systems and maximize its capabilities.  

    The version of the OpenAPI document: 2
    Generated by OpenAPI Generator (https://openapi-generator.tech)

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


from __future__ import annotations
from inspect import getfullargspec
import json
import pprint
import re  # noqa: F401
from pydantic import (
    BaseModel,
    ConfigDict,
    Field,
    StrictStr,
    ValidationError,
    field_validator,
)
from typing import Optional
from typing_extensions import Annotated
from typing import Union, Any, List, Set, TYPE_CHECKING, Optional, Dict
from typing_extensions import Literal, Self
from pydantic import Field

FILE_ANY_OF_SCHEMAS = ["str"]


class File(BaseModel):
    """
    File
    """

    # data type: str
    anyof_schema_1_validator: Optional[
        Annotated[str, Field(min_length=1, strict=True, max_length=2083)]
    ] = None
    # data type: str
    anyof_schema_2_validator: Optional[StrictStr] = None
    if TYPE_CHECKING:
        actual_instance: Optional[Union[str]] = None
    else:
        actual_instance: Any = None
    any_of_schemas: Set[str] = {"str"}

    model_config = {
        "validate_assignment": True,
        "protected_namespaces": (),
    }

    def __init__(self, *args, **kwargs) -> None:
        if args:
            if len(args) > 1:
                raise ValueError(
                    "If a position argument is used, only 1 is allowed to set `actual_instance`"
                )
            if kwargs:
                raise ValueError(
                    "If a position argument is used, keyword arguments cannot be used."
                )
            super().__init__(actual_instance=args[0])
        else:
            super().__init__(**kwargs)

    @field_validator("actual_instance")
    def actual_instance_must_validate_anyof(cls, v):
        instance = File.model_construct()
        error_messages = []
        # validate data type: str
        try:
            instance.anyof_schema_1_validator = v
            return v
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # validate data type: str
        try:
            instance.anyof_schema_2_validator = v
            return v
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        if error_messages:
            # no match
            raise ValueError(
                "No match found when setting the actual_instance in File with anyOf schemas: str. Details: "
                + ", ".join(error_messages)
            )
        else:
            return v

    @classmethod
    def from_dict(cls, obj: Dict[str, Any]) -> Self:
        return cls.from_json(json.dumps(obj))

    @classmethod
    def from_json(cls, json_str: str) -> Self:
        """Returns the object represented by the json string"""
        instance = cls.model_construct()
        error_messages = []
        # deserialize data into str
        try:
            # validation
            instance.anyof_schema_1_validator = json.loads(json_str)
            # assign value to actual_instance
            instance.actual_instance = instance.anyof_schema_1_validator
            return instance
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # deserialize data into str
        try:
            # validation
            instance.anyof_schema_2_validator = json.loads(json_str)
            # assign value to actual_instance
            instance.actual_instance = instance.anyof_schema_2_validator
            return instance
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))

        if error_messages:
            # no match
            raise ValueError(
                "No match found when deserializing the JSON string into File with anyOf schemas: str. Details: "
                + ", ".join(error_messages)
            )
        else:
            return instance

    def to_json(self) -> str:
        """Returns the JSON representation of the actual instance"""
        if self.actual_instance is None:
            return "null"

        if hasattr(self.actual_instance, "to_json") and callable(
            self.actual_instance.to_json
        ):
            return self.actual_instance.to_json()
        else:
            return json.dumps(self.actual_instance)

    def to_dict(self) -> Optional[Union[Dict[str, Any], str]]:
        """Returns the dict representation of the actual instance"""
        if self.actual_instance is None:
            return None

        if hasattr(self.actual_instance, "to_dict") and callable(
            self.actual_instance.to_dict
        ):
            return self.actual_instance.to_dict()
        else:
            return self.actual_instance

    def to_str(self) -> str:
        """Returns the string representation of the actual instance"""
        return pprint.pformat(self.model_dump())
