
"""
    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 datetime import datetime
from typing import Any, ClassVar

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Self

from highway_sdk.models.details import Details


class ErrorResponseE7ebca9(BaseModel):
    """
    Standard error response wrapper.  All error responses follow this structure: {     \"status\": \"error\",     \"message\": \"Human-readable error message\",     \"code\": \"ERROR_CODE\",     \"details\": {...}  // Optional additional details }
    """
    code: StrictStr = Field(description="Machine-readable error code")
    details: Details | None = None
    message: StrictStr = Field(description="Human-readable error message")
    request_id: StrictStr | None = None
    status: StrictStr | None = Field(default="error", description="Response status")
    timestamp: datetime | None = None
    __properties: ClassVar[list[str]] = ["code", "details", "message", "request_id", "status", "timestamp"]

    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) -> Self | None:
        """Create an instance of ErrorResponseE7ebca9 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,
        )
        # override the default output from pydantic by calling `to_dict()` of details
        if self.details:
            _dict["details"] = self.details.to_dict()
        # set to None if details (nullable) is None
        # and model_fields_set contains the field
        if self.details is None and "details" in self.model_fields_set:
            _dict["details"] = None

        # set to None if request_id (nullable) is None
        # and model_fields_set contains the field
        if self.request_id is None and "request_id" in self.model_fields_set:
            _dict["request_id"] = None

        # set to None if timestamp (nullable) is None
        # and model_fields_set contains the field
        if self.timestamp is None and "timestamp" in self.model_fields_set:
            _dict["timestamp"] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
        """Create an instance of ErrorResponseE7ebca9 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"),
            "details": Details.from_dict(obj["details"]) if obj.get("details") is not None else None,
            "message": obj.get("message"),
            "request_id": obj.get("request_id"),
            "status": obj.get("status") if obj.get("status") is not None else "error",
            "timestamp": obj.get("timestamp")
        })
        return _obj


