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112 lines
3.3 KiB
Python
112 lines
3.3 KiB
Python
from __future__ import annotations
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from abc import ABC, abstractmethod
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from datetime import datetime
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from enum import Enum
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from typing import Type
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from pydantic import BaseModel, ConfigDict
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from sqlalchemy import Column, DateTime, ForeignKey, Integer, String, Text, text
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from sqlalchemy import Enum as SQLEnum
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from storage.base import Base
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from openhands.events.observation.agent import AgentStateChangedObservation
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from openhands.utils.import_utils import get_impl
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class ConversationCallbackProcessor(BaseModel, ABC):
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"""
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Abstract base class for conversation callback processors.
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Conversation processors are invoked when events occur in a conversation
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to perform additional processing, notifications, or integrations.
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"""
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model_config = ConfigDict(
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# Allow extra fields for flexibility
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extra='allow',
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# Allow arbitrary types
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arbitrary_types_allowed=True,
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)
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@abstractmethod
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async def __call__(
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self,
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callback: ConversationCallback,
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observation: AgentStateChangedObservation,
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) -> None:
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"""
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Process a conversation event.
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Args:
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conversation_id: The ID of the conversation to process
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observation: The AgentStateChangedObservation that triggered the callback
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callback: The conversation callback
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"""
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class CallbackStatus(Enum):
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"""Status of a conversation callback."""
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ACTIVE = 'ACTIVE'
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COMPLETED = 'COMPLETED'
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ERROR = 'ERROR'
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class ConversationCallback(Base): # type: ignore
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"""
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Model for storing conversation callbacks that process conversation events.
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"""
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__tablename__ = 'conversation_callbacks'
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id = Column(Integer, primary_key=True, autoincrement=True)
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conversation_id = Column(
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String,
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ForeignKey('conversation_metadata.conversation_id'),
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nullable=False,
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index=True,
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)
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status = Column(
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SQLEnum(CallbackStatus), nullable=False, default=CallbackStatus.ACTIVE
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)
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processor_type = Column(String, nullable=False)
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processor_json = Column(Text, nullable=False)
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created_at = Column(
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DateTime,
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server_default=text('CURRENT_TIMESTAMP'),
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nullable=False,
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)
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updated_at = Column(
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DateTime,
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server_default=text('CURRENT_TIMESTAMP'),
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onupdate=datetime.now,
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nullable=False,
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)
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def get_processor(self) -> ConversationCallbackProcessor:
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"""
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Get the processor instance from the stored processor type and JSON data.
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Returns:
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ConversationCallbackProcessor: The processor instance
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"""
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# Import the processor class dynamically
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processor_type: Type[ConversationCallbackProcessor] = get_impl(
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ConversationCallbackProcessor, self.processor_type
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)
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processor = processor_type.model_validate_json(self.processor_json)
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return processor
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def set_processor(self, processor: ConversationCallbackProcessor) -> None:
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"""
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Set the processor instance, storing its type and JSON representation.
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Args:
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processor: The ConversationCallbackProcessor instance to store
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"""
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self.processor_type = (
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f'{processor.__class__.__module__}.{processor.__class__.__name__}'
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)
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self.processor_json = processor.model_dump_json()
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