Source code for agntcy_acp.acp_v0.models.run_interrupt
# 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
[docs]
class RunInterrupt(BaseModel):
"""
Interrupt occurred during a Run
""" # noqa: E501
type: StrictStr
interrupt: Dict[str, Any] = Field(
description="This schema describes the interrupt payload. Actual schema describes a polimorphic object, which means a schema structured with `oneOf` and `discriminator`. The discriminator is the `interrupt_type`, while the schemas will be the ones defined in the agent spec under `interrupts`/`interrupt_payload` For example: oneOf: - $ref: '#/components/schemas/ApprovalInterruptPayload' - $ref: '#/components/schemas/QuestionInterruptPayload' discriminator: propertyName: interruput_type mapping: approval: '#/components/schemas/ApprovalInterruptPayload' question: '#/components/schemas/QuestionInterruptPayload'"
)
__properties: ClassVar[List[str]] = ["type", "interrupt"]
[docs]
@field_validator("type")
def type_validate_enum(cls, value):
"""Validates the enum"""
if value not in set(["interrupt"]):
raise ValueError("must be one of enum values ('interrupt')")
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 RunInterrupt 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 RunInterrupt 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"), "interrupt": obj.get("interrupt")}
)
return _obj