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import json
from typing import Optional, Union
from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager
from core.app.entities.app_invoke_entities import InvokeFrom
from core.llm_generator.llm_generator import LLMGenerator
from core.memory.token_buffer_memory import TokenBufferMemory
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from models.account import Account
from models.model import App, AppMode, AppModelConfig, EndUser, Message, MessageFeedback
from services.conversation_service import ConversationService
from services.errors.conversation import ConversationCompletedError, ConversationNotExistsError
from services.errors.message import (
FirstMessageNotExistsError,
LastMessageNotExistsError,
MessageNotExistsError,
SuggestedQuestionsAfterAnswerDisabledError,
)
from services.workflow_service import WorkflowService
class MessageService:
@classmethod
def pagination_by_first_id(cls, app_model: App, user: Optional[Union[Account, EndUser]],
conversation_id: str, first_id: Optional[str], limit: int) -> InfiniteScrollPagination:
if not user:
return InfiniteScrollPagination(data=[], limit=limit, has_more=False)
if not conversation_id:
return InfiniteScrollPagination(data=[], limit=limit, has_more=False)
conversation = ConversationService.get_conversation(
app_model=app_model,
user=user,
conversation_id=conversation_id
)
if first_id:
first_message = db.session.query(Message) \
.filter(Message.conversation_id == conversation.id, Message.id == first_id).first()
if not first_message:
raise FirstMessageNotExistsError()
history_messages = db.session.query(Message).filter(
Message.conversation_id == conversation.id,
Message.created_at < first_message.created_at,
Message.id != first_message.id
) \
.order_by(Message.created_at.desc()).limit(limit).all()
else:
history_messages = db.session.query(Message).filter(Message.conversation_id == conversation.id) \
.order_by(Message.created_at.desc()).limit(limit).all()
has_more = False
if len(history_messages) == limit:
current_page_first_message = history_messages[-1]
rest_count = db.session.query(Message).filter(
Message.conversation_id == conversation.id,
Message.created_at < current_page_first_message.created_at,
Message.id != current_page_first_message.id
).count()
if rest_count > 0:
has_more = True
history_messages = list(reversed(history_messages))
return InfiniteScrollPagination(
data=history_messages,
limit=limit,
has_more=has_more
)
@classmethod
def pagination_by_last_id(cls, app_model: App, user: Optional[Union[Account, EndUser]],
last_id: Optional[str], limit: int, conversation_id: Optional[str] = None,
include_ids: Optional[list] = None) -> InfiniteScrollPagination:
if not user:
return InfiniteScrollPagination(data=[], limit=limit, has_more=False)
base_query = db.session.query(Message)
if conversation_id is not None:
conversation = ConversationService.get_conversation(
app_model=app_model,
user=user,
conversation_id=conversation_id
)
base_query = base_query.filter(Message.conversation_id == conversation.id)
if include_ids is not None:
base_query = base_query.filter(Message.id.in_(include_ids))
if last_id:
last_message = base_query.filter(Message.id == last_id).first()
if not last_message:
raise LastMessageNotExistsError()
history_messages = base_query.filter(
Message.created_at < last_message.created_at,
Message.id != last_message.id
).order_by(Message.created_at.desc()).limit(limit).all()
else:
history_messages = base_query.order_by(Message.created_at.desc()).limit(limit).all()
has_more = False
if len(history_messages) == limit:
current_page_first_message = history_messages[-1]
rest_count = base_query.filter(
Message.created_at < current_page_first_message.created_at,
Message.id != current_page_first_message.id
).count()
if rest_count > 0:
has_more = True
return InfiniteScrollPagination(
data=history_messages,
limit=limit,
has_more=has_more
)
@classmethod
def create_feedback(cls, app_model: App, message_id: str, user: Optional[Union[Account, EndUser]],
rating: Optional[str]) -> MessageFeedback:
if not user:
raise ValueError('user cannot be None')
message = cls.get_message(
app_model=app_model,
user=user,
message_id=message_id
)
feedback = message.user_feedback if isinstance(user, EndUser) else message.admin_feedback
if not rating and feedback:
db.session.delete(feedback)
elif rating and feedback:
feedback.rating = rating
elif not rating and not feedback:
raise ValueError('rating cannot be None when feedback not exists')
else:
feedback = MessageFeedback(
app_id=app_model.id,
conversation_id=message.conversation_id,
message_id=message.id,
rating=rating,
from_source=('user' if isinstance(user, EndUser) else 'admin'),
from_end_user_id=(user.id if isinstance(user, EndUser) else None),
from_account_id=(user.id if isinstance(user, Account) else None),
)
db.session.add(feedback)
db.session.commit()
return feedback
@classmethod
def get_message(cls, app_model: App, user: Optional[Union[Account, EndUser]], message_id: str):
message = db.session.query(Message).filter(
Message.id == message_id,
Message.app_id == app_model.id,
Message.from_source == ('api' if isinstance(user, EndUser) else 'console'),
Message.from_end_user_id == (user.id if isinstance(user, EndUser) else None),
Message.from_account_id == (user.id if isinstance(user, Account) else None),
).first()
if not message:
raise MessageNotExistsError()
return message
@classmethod
def get_suggested_questions_after_answer(cls, app_model: App, user: Optional[Union[Account, EndUser]],
message_id: str, invoke_from: InvokeFrom) -> list[Message]:
if not user:
raise ValueError('user cannot be None')
message = cls.get_message(
app_model=app_model,
user=user,
message_id=message_id
)
conversation = ConversationService.get_conversation(
app_model=app_model,
conversation_id=message.conversation_id,
user=user
)
if not conversation:
raise ConversationNotExistsError()
if conversation.status != 'normal':
raise ConversationCompletedError()
model_manager = ModelManager()
if app_model.mode == AppMode.ADVANCED_CHAT.value:
workflow_service = WorkflowService()
if invoke_from == InvokeFrom.DEBUGGER:
workflow = workflow_service.get_draft_workflow(app_model=app_model)
else:
workflow = workflow_service.get_published_workflow(app_model=app_model)
if workflow is None:
return []
app_config = AdvancedChatAppConfigManager.get_app_config(
app_model=app_model,
workflow=workflow
)
if not app_config.additional_features.suggested_questions_after_answer:
raise SuggestedQuestionsAfterAnswerDisabledError()
model_instance = model_manager.get_default_model_instance(
tenant_id=app_model.tenant_id,
model_type=ModelType.LLM
)
else:
if not conversation.override_model_configs:
app_model_config = db.session.query(AppModelConfig).filter(
AppModelConfig.id == conversation.app_model_config_id,
AppModelConfig.app_id == app_model.id
).first()
else:
conversation_override_model_configs = json.loads(conversation.override_model_configs)
app_model_config = AppModelConfig(
id=conversation.app_model_config_id,
app_id=app_model.id,
)
app_model_config = app_model_config.from_model_config_dict(conversation_override_model_configs)
suggested_questions_after_answer = app_model_config.suggested_questions_after_answer_dict
if suggested_questions_after_answer.get("enabled", False) is False:
raise SuggestedQuestionsAfterAnswerDisabledError()
model_instance = model_manager.get_model_instance(
tenant_id=app_model.tenant_id,
provider=app_model_config.model_dict['provider'],
model_type=ModelType.LLM,
model=app_model_config.model_dict['name']
)
# get memory of conversation (read-only)
memory = TokenBufferMemory(
conversation=conversation,
model_instance=model_instance
)
histories = memory.get_history_prompt_text(
max_token_limit=3000,
message_limit=3,
)
questions = LLMGenerator.generate_suggested_questions_after_answer(
tenant_id=app_model.tenant_id,
histories=histories
)
return questions
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