Source code for agntcy_acp.acp_v0.models.run

# 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 datetime import datetime
from typing import Any, ClassVar, Dict, List, Optional, Set

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

from agntcy_acp.acp_v0.models.run_status import RunStatus


[docs] class Run(BaseModel): """ Holds common information of a run """ # noqa: E501 run_id: StrictStr = Field(description="The ID of the run.") thread_id: Optional[StrictStr] = Field( default=None, description="Optional Thread ID wher the Run belongs to. This is populated only for runs on agents agents supporting Threads.", ) agent_id: StrictStr = Field(description="The agent that was used for this run.") created_at: datetime = Field(description="The time the run was created.") updated_at: datetime = Field(description="The last time the run was updated.") status: RunStatus = Field( description="The status of the run. One of 'pending', 'error', 'success', 'timeout', 'interrupted'." ) __properties: ClassVar[List[str]] = [ "run_id", "thread_id", "agent_id", "created_at", "updated_at", "status", ] 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 Run 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 Run from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "run_id": obj.get("run_id"), "thread_id": obj.get("thread_id"), "agent_id": obj.get("agent_id"), "created_at": obj.get("created_at"), "updated_at": obj.get("updated_at"), "status": obj.get("status"), } ) return _obj