# coding: utf-8

"""
Cashfree Payment Gateway APIs

Cashfree's Payment Gateway APIs provide developers with a streamlined pathway to integrate advanced payment processing capabilities into their applications, platforms and websites.

The version of the OpenAPI document: 2023-08-01
Contact: developers@cashfree.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 datetime import date, datetime


from pydantic import validate_arguments, ValidationError, Field, StrictStr, StrictBytes, StrictInt, StrictFloat, StrictBool, field_validator, BaseModel
from typing import Any, Dict, List, Optional, Tuple, Union
from typing_extensions import Annotated

class CustomerDetails(BaseModel):
    """
    The customer details that are necessary. Note that you can pass dummy details if your use case does not require the customer details.
    """
    customer_id: Annotated[str, Field(min_length=3, strict=True, max_length=50)] = Field(description="A unique identifier for the customer. Use alphanumeric values only.")
    customer_email: Optional[Annotated[str, Field(min_length=3, strict=True, max_length=100)]] = Field(default=None, description="Customer email address.")
    customer_phone: Annotated[str, Field(min_length=10, strict=True, max_length=10)] = Field(description="Customer phone number.")
    customer_name: Optional[Annotated[str, Field(min_length=3, strict=True, max_length=100)]] = Field(default=None, description="Name of the customer.")
    customer_bank_account_number: Optional[Annotated[str, Field(min_length=3, strict=True, max_length=20)]] = Field(default=None, description="Customer bank account. Required if you want to do a bank account check (TPV)")
    customer_bank_ifsc: Optional[StrictStr] = Field(default=None, description="Customer bank IFSC. Required if you want to do a bank account check (TPV)")
    customer_bank_code: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Customer bank code. Required for net banking payments, if you want to do a bank account check (TPV)")
    customer_uid: Optional[StrictStr] = Field(default=None, description="Customer identifier at Cashfree. You will get this when you create/get customer")
    __properties = ["customer_id", "customer_email", "customer_phone", "customer_name", "customer_bank_account_number", "customer_bank_ifsc", "customer_bank_code", "customer_uid"]

    # Updated to Pydantic v2
    """Pydantic configuration"""
    model_config = {
        "populate_by_name": True,
        "validate_assignment": True
    }

    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.dict(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> CustomerDetails:
        """Create an instance of CustomerDetails from a JSON string"""
        return cls.from_dict(json.loads(json_str))
    
    @classmethod
    def from_json_for_one_of(cls, json_str: str) -> CustomerDetails:
        """Create an instance of CustomerDetails from a JSON string"""
        temp_dict = json.loads(json_str)
        if "customer_id, customer_email, customer_phone, customer_name, customer_bank_account_number, customer_bank_ifsc, customer_bank_code, customer_uid" in temp_dict.keys():
            return cls.from_dict(json.loads(json_str))
        return None

    def to_dict(self):
        """Returns the dictionary representation of the model using alias"""
        _dict = self.dict(by_alias=True,
                          exclude={
                          },
                          exclude_none=True)
        return _dict

    @classmethod
    def from_dict(cls, obj: dict) -> CustomerDetails:
        """Create an instance of CustomerDetails from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return CustomerDetails.parse_obj(obj)

        _obj = CustomerDetails.parse_obj({
            "customer_id": obj.get("customer_id"),
            "customer_email": obj.get("customer_email"),
            "customer_phone": obj.get("customer_phone"),
            "customer_name": obj.get("customer_name"),
            "customer_bank_account_number": obj.get("customer_bank_account_number"),
            "customer_bank_ifsc": obj.get("customer_bank_ifsc"),
            "customer_bank_code": obj.get("customer_bank_code"),
            "customer_uid": obj.get("customer_uid")
        })
        return _obj


# Pydantic v2: resolve forward references & Annotated types
CustomerDetails.model_rebuild()