"""
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 typing import Annotated, Any, ClassVar, Self

from pydantic import BaseModel, ConfigDict, Field, StrictStr

from mcp_mesh.registry_client_generated.mcp_mesh_registry_client.models.standardized_dependency import (
    StandardizedDependency,
)


class MeshToolRegisterMetadata(BaseModel):
    """
    Metadata for a single @mesh.tool decorated function
    """  # noqa: E501

    function_name: Annotated[str, Field(min_length=1, strict=True)] = Field(
        description="Name of the decorated function"
    )
    capability: Annotated[str, Field(min_length=1, strict=True)] = Field(
        description="Capability provided by this function"
    )
    version: StrictStr | None = Field(
        default="1.0.0", description="Function/capability version"
    )
    tags: list[StrictStr] | None = Field(
        default=None, description="Tags for this capability"
    )
    dependencies: list[StandardizedDependency] | None = Field(
        default=None, description="Dependencies required by this function"
    )
    description: StrictStr | None = Field(
        default=None, description="Function description"
    )
    __properties: ClassVar[list[str]] = [
        "function_name",
        "capability",
        "version",
        "tags",
        "dependencies",
        "description",
    ]

    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 MeshToolRegisterMetadata 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 each item in dependencies (list)
        _items = []
        if self.dependencies:
            for _item_dependencies in self.dependencies:
                if _item_dependencies:
                    _items.append(_item_dependencies.to_dict())
            _dict["dependencies"] = _items
        return _dict

    @classmethod
    def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
        """Create an instance of MeshToolRegisterMetadata from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {
                "function_name": obj.get("function_name"),
                "capability": obj.get("capability"),
                "version": (
                    obj.get("version") if obj.get("version") is not None else "1.0.0"
                ),
                "tags": obj.get("tags"),
                "dependencies": (
                    [
                        StandardizedDependency.from_dict(_item)
                        for _item in obj["dependencies"]
                    ]
                    if obj.get("dependencies") is not None
                    else None
                ),
                "description": obj.get("description"),
            }
        )
        return _obj
