
"""
    Highway Workflow Engine API

     ## Highway Workflow Engine  A production-grade durable workflow engine with: - **Workflow Orchestration**: Execute complex multi-step workflows with fault tolerance - **Durable Execution**: Automatic checkpointing and replay for disaster recovery - **Time-Travel Debugging**: Replay and simulate past workflow executions - **Multi-Tenancy**: Full tenant isolation with RBAC - **Distributed Locks**: PostgreSQL advisory locks for coordination - **Saga Patterns**: Compensation support for rollback scenarios  ### Authentication All endpoints require a valid JWT token in the `Authorization` header: ``` Authorization: Bearer <token> ```  ### Rate Limiting API requests are rate-limited per tenant. Check response headers for limits: - `X-RateLimit-Limit`: Maximum requests per window - `X-RateLimit-Remaining`: Remaining requests - `X-RateLimit-Reset`: Window reset timestamp     

    The version of the OpenAPI document: 1.0.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""


from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import TYPE_CHECKING, Any

from pydantic import BaseModel, ValidationError, field_validator
from typing_extensions import Self

from highway_sdk.models.error_response_e7ebca9_error_detail import ErrorResponseE7ebca9ErrorDetail


DETAILS_ANY_OF_SCHEMAS = ["Dict[str, object]", "List[ErrorResponseE7ebca9ErrorDetail]"]

class Details(BaseModel):
    """
    Additional error details
    """

    # data type: Dict[str, object]
    anyof_schema_1_validator: dict[str, Any] | None = None
    # data type: List[ErrorResponseE7ebca9ErrorDetail]
    anyof_schema_2_validator: list[ErrorResponseE7ebca9ErrorDetail] | None = None
    if TYPE_CHECKING:
        actual_instance: dict[str, object] | list[ErrorResponseE7ebca9ErrorDetail] | None = None
    else:
        actual_instance: Any = None
    any_of_schemas: set[str] = { "Dict[str, object]", "List[ErrorResponseE7ebca9ErrorDetail]" }

    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):
        if v is None:
            return v

        instance = Details.model_construct()
        error_messages = []
        # validate data type: Dict[str, object]
        try:
            instance.anyof_schema_1_validator = v
            return v
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # validate data type: List[ErrorResponseE7ebca9ErrorDetail]
        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 Details with anyOf schemas: Dict[str, object], List[ErrorResponseE7ebca9ErrorDetail]. Details: " + ", ".join(error_messages))
        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()
        if json_str is None:
            return instance

        error_messages = []
        # deserialize data into Dict[str, object]
        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 List[ErrorResponseE7ebca9ErrorDetail]
        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 Details with anyOf schemas: Dict[str, object], List[ErrorResponseE7ebca9ErrorDetail]. Details: " + ", ".join(error_messages))
        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()
        return json.dumps(self.actual_instance)

    def to_dict(self) -> dict[str, Any] | dict[str, object] | list[ErrorResponseE7ebca9ErrorDetail] | None:
        """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()
        return self.actual_instance

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


