Source code for agntcy_acp.acp_v0.models.custom_run_result_update

# Copyright AGNTCY Contributors (https://github.com/agntcy)
# SPDX-License-Identifier: Apache-2.0
# coding: utf-8

"""
Agent Connect Protocol

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

The version of the OpenAPI document: 0.2.2
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 Any, ClassVar, Dict, List, Optional, Set

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

from agntcy_acp.acp_v0.models.run_status import RunStatus


[docs] class CustomRunResultUpdate(BaseModel): """ Object holding a custom defined update of the agent result during streaming. """ # noqa: E501 type: StrictStr run_id: Optional[StrictStr] = Field(default=None, description="The ID of the run.") status: RunStatus = Field( description="Status of the Run when this result was generated" ) update: Dict[str, Any] = Field( description="An update in the SSE event streaming where streaming mode is set to custom. The schema is described in agent ACP descriptor under 'spec.custom_streaming_update'." ) __properties: ClassVar[List[str]] = ["type", "run_id", "status", "update"]
[docs] @field_validator("type") def type_validate_enum(cls, value): """Validates the enum""" if value not in set(["custom"]): raise ValueError("must be one of enum values ('custom')") return value
model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] 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 self.model_dump_json(by_alias=True, exclude_unset=True)
[docs] @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of CustomRunResultUpdate from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] 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
[docs] @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of CustomRunResultUpdate from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "type": obj.get("type"), "run_id": obj.get("run_id"), "status": obj.get("status"), "update": obj.get("update"), } ) return _obj