# coding: utf-8

"""
    Coinbase Developer Platform APIs

    The Coinbase Developer Platform APIs - leading the world's transition onchain.

    The version of the OpenAPI document: 2.0.0
    Contact: cdp@coinbase.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 pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from cdp.openapi_client.models.x402_settle_error_reason import X402SettleErrorReason
from typing import Optional, Set
from typing_extensions import Self

class InlineObject1(BaseModel):
    """
    InlineObject1
    """ # noqa: E501
    success: StrictBool = Field(description="Indicates whether the payment settlement is successful.")
    error_reason: Optional[X402SettleErrorReason] = Field(default=None, alias="errorReason")
    payer: Annotated[str, Field(strict=True)] = Field(description="The onchain address of the client that is paying for the resource.  For EVM networks, the payer will be a 0x-prefixed, checksum EVM address.  For Solana-based networks, the payer will be a base58-encoded Solana address.")
    transaction: Annotated[str, Field(strict=True)] = Field(description="The transaction of the settlement. For EVM networks, the transaction will be a 0x-prefixed, EVM transaction hash. For Solana-based networks, the transaction will be a base58-encoded Solana signature.")
    network: StrictStr = Field(description="The network where the settlement occurred.")
    __properties: ClassVar[List[str]] = ["success", "errorReason", "payer", "transaction", "network"]

    @field_validator('payer')
    def payer_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^(0x[a-fA-F0-9]{40}|[1-9A-HJ-NP-Za-km-z]{32,44})$", value):
            raise ValueError(r"must validate the regular expression /^(0x[a-fA-F0-9]{40}|[1-9A-HJ-NP-Za-km-z]{32,44})$/")
        return value

    @field_validator('transaction')
    def transaction_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^(0x[a-fA-F0-9]{64}|[1-9A-HJ-NP-Za-km-z]{87,88})$", value):
            raise ValueError(r"must validate the regular expression /^(0x[a-fA-F0-9]{64}|[1-9A-HJ-NP-Za-km-z]{87,88})$/")
        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 InlineObject1 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 InlineObject1 from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "success": obj.get("success"),
            "errorReason": obj.get("errorReason"),
            "payer": obj.get("payer"),
            "transaction": obj.get("transaction"),
            "network": obj.get("network")
        })
        return _obj


