"""
MCP Mesh Agent API

API contract for MCP Mesh Agent HTTP endpoints.  ⚠️  CRITICAL FOR AI DEVELOPERS: This OpenAPI specification defines the AGENT-SIDE CONTRACT for Python agent HTTP wrappers.  🤖 AI BEHAVIOR RULES: - NEVER modify this spec without explicit user approval - This is SEPARATE from the registry API contract - Only applies to Python agent HTTP wrapper endpoints - Used for agent-to-external and agent health monitoring  📋 Scope: - Agent health and readiness endpoints - Agent capability and tool discovery - Agent metrics and monitoring - MCP protocol HTTP transport

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

from pydantic import BaseModel, Field, StrictStr, field_validator

try:
    from typing import Self
except ImportError:
    from typing import Self


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

    status: StrictStr = Field(description="Overall agent health status")
    agent_id: StrictStr = Field(description="Agent identifier")
    timestamp: datetime = Field(description="Current timestamp")
    transport: list[StrictStr] = Field(description="Available transport methods")
    version: StrictStr | None = Field(default=None, description="Agent version")
    uptime_seconds: Annotated[int, Field(strict=True, ge=0)] | None = Field(
        default=None, description="Agent uptime in seconds"
    )
    mcp_server_status: StrictStr | None = Field(
        default=None, description="MCP server connection status"
    )
    __properties: ClassVar[list[str]] = [
        "status",
        "agent_id",
        "timestamp",
        "transport",
        "version",
        "uptime_seconds",
        "mcp_server_status",
    ]

    @field_validator("status")
    def status_validate_enum(cls, value):
        """Validates the enum"""
        if value not in (
            "healthy",
            "degraded",
            "unhealthy",
        ):
            raise ValueError(
                "must be one of enum values ('healthy', 'degraded', 'unhealthy')"
            )
        return value

    @field_validator("mcp_server_status")
    def mcp_server_status_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in (
            "connected",
            "disconnected",
            "error",
        ):
            raise ValueError(
                "must be one of enum values ('connected', 'disconnected', 'error')"
            )
        return value

    model_config = {
        "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:
        """Create an instance of AgentHealthResponse 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.
        """
        _dict = self.model_dump(
            by_alias=True,
            exclude={},
            exclude_none=True,
        )
        return _dict

    @classmethod
    def from_dict(cls, obj: dict) -> Self:
        """Create an instance of AgentHealthResponse 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"),
                "agent_id": obj.get("agent_id"),
                "timestamp": obj.get("timestamp"),
                "transport": obj.get("transport"),
                "version": obj.get("version"),
                "uptime_seconds": obj.get("uptime_seconds"),
                "mcp_server_status": obj.get("mcp_server_status"),
            }
        )
        return _obj
