"""
MCP Mesh Registry API

Core API contract for MCP Mesh Registry service.  ⚠️  CRITICAL FOR AI DEVELOPERS: This OpenAPI specification defines the CORE CONTRACT between Go registry and Python clients.  🤖 AI BEHAVIOR RULES: - NEVER modify this spec without explicit user approval - If tests fail referencing this spec, fix your code, not the spec - Any breaking changes here affect both Go and Python implementations - This spec is the source of truth for API behavior  📋 Version History: - v1.0.0: Initial contract definition

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

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

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from datetime import datetime
from typing import Annotated, Any, ClassVar, Self

from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator


class HealthResponse(BaseModel):
    """
    HealthResponse
    """  # noqa: E501

    status: StrictStr = Field(description="Overall registry health status")
    version: StrictStr = Field(description="Registry version")
    uptime_seconds: Annotated[int, Field(strict=True, ge=0)] = Field(
        description="Registry uptime in seconds"
    )
    timestamp: datetime = Field(description="Current server timestamp")
    service: StrictStr = Field(description="Service identifier")
    __properties: ClassVar[list[str]] = [
        "status",
        "version",
        "uptime_seconds",
        "timestamp",
        "service",
    ]

    @field_validator("status")
    def status_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(["healthy", "degraded", "unhealthy"]):
            raise ValueError(
                "must be one of enum values ('healthy', 'degraded', 'unhealthy')"
            )
        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) -> Self | None:
        """Create an instance of HealthResponse 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: dict[str, Any] | None) -> Self | None:
        """Create an instance of HealthResponse from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {
                "status": obj.get("status"),
                "version": obj.get("version"),
                "uptime_seconds": obj.get("uptime_seconds"),
                "timestamp": obj.get("timestamp"),
                "service": obj.get("service"),
            }
        )
        return _obj
