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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
228 lines
9.1 KiB
Python
228 lines
9.1 KiB
Python
import json
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import logging
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from typing import Literal
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from uuid import UUID
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from flask import request
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from flask_restx import Namespace, Resource, fields
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from pydantic import BaseModel, Field
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from werkzeug.exceptions import BadRequest, InternalServerError, NotFound
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import services
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from controllers.common.schema import register_schema_models
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from controllers.service_api import service_api_ns
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from controllers.service_api.app.error import NotChatAppError
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from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
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from core.app.entities.app_invoke_entities import InvokeFrom
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from fields.conversation_fields import build_message_file_model
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from fields.message_fields import build_agent_thought_model, build_feedback_model
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from fields.raws import FilesContainedField
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from libs.helper import TimestampField
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from models.model import App, AppMode, EndUser
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from services.errors.message import (
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FirstMessageNotExistsError,
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MessageNotExistsError,
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SuggestedQuestionsAfterAnswerDisabledError,
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)
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from services.message_service import MessageService
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logger = logging.getLogger(__name__)
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class MessageListQuery(BaseModel):
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conversation_id: UUID
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first_id: UUID | None = None
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limit: int = Field(default=20, ge=1, le=100, description="Number of messages to return")
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class MessageFeedbackPayload(BaseModel):
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rating: Literal["like", "dislike"] | None = Field(default=None, description="Feedback rating")
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content: str | None = Field(default=None, description="Feedback content")
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class FeedbackListQuery(BaseModel):
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page: int = Field(default=1, ge=1, description="Page number")
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limit: int = Field(default=20, ge=1, le=101, description="Number of feedbacks per page")
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register_schema_models(service_api_ns, MessageListQuery, MessageFeedbackPayload, FeedbackListQuery)
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def build_message_model(api_or_ns: Namespace):
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"""Build the message model for the API or Namespace."""
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# First build the nested models
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feedback_model = build_feedback_model(api_or_ns)
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agent_thought_model = build_agent_thought_model(api_or_ns)
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message_file_model = build_message_file_model(api_or_ns)
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# Then build the message fields with nested models
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message_fields = {
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"id": fields.String,
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"conversation_id": fields.String,
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"parent_message_id": fields.String,
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"inputs": FilesContainedField,
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"query": fields.String,
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"answer": fields.String(attribute="re_sign_file_url_answer"),
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"message_files": fields.List(fields.Nested(message_file_model)),
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"feedback": fields.Nested(feedback_model, attribute="user_feedback", allow_null=True),
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"retriever_resources": fields.Raw(
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attribute=lambda obj: json.loads(obj.message_metadata).get("retriever_resources", [])
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if obj.message_metadata
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else []
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),
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"created_at": TimestampField,
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"agent_thoughts": fields.List(fields.Nested(agent_thought_model)),
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"status": fields.String,
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"error": fields.String,
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}
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return api_or_ns.model("Message", message_fields)
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def build_message_infinite_scroll_pagination_model(api_or_ns: Namespace):
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"""Build the message infinite scroll pagination model for the API or Namespace."""
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# Build the nested message model first
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message_model = build_message_model(api_or_ns)
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message_infinite_scroll_pagination_fields = {
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"limit": fields.Integer,
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"has_more": fields.Boolean,
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"data": fields.List(fields.Nested(message_model)),
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}
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return api_or_ns.model("MessageInfiniteScrollPagination", message_infinite_scroll_pagination_fields)
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@service_api_ns.route("/messages")
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class MessageListApi(Resource):
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@service_api_ns.expect(service_api_ns.models[MessageListQuery.__name__])
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@service_api_ns.doc("list_messages")
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@service_api_ns.doc(description="List messages in a conversation")
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@service_api_ns.doc(
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responses={
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200: "Messages retrieved successfully",
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401: "Unauthorized - invalid API token",
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404: "Conversation or first message not found",
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}
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)
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@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
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@service_api_ns.marshal_with(build_message_infinite_scroll_pagination_model(service_api_ns))
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def get(self, app_model: App, end_user: EndUser):
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"""List messages in a conversation.
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Retrieves messages with pagination support using first_id.
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"""
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app_mode = AppMode.value_of(app_model.mode)
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if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
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raise NotChatAppError()
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query_args = MessageListQuery.model_validate(request.args.to_dict())
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conversation_id = str(query_args.conversation_id)
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first_id = str(query_args.first_id) if query_args.first_id else None
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try:
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return MessageService.pagination_by_first_id(
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app_model, end_user, conversation_id, first_id, query_args.limit
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)
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except services.errors.conversation.ConversationNotExistsError:
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raise NotFound("Conversation Not Exists.")
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except FirstMessageNotExistsError:
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raise NotFound("First Message Not Exists.")
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@service_api_ns.route("/messages/<uuid:message_id>/feedbacks")
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class MessageFeedbackApi(Resource):
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@service_api_ns.expect(service_api_ns.models[MessageFeedbackPayload.__name__])
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@service_api_ns.doc("create_message_feedback")
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@service_api_ns.doc(description="Submit feedback for a message")
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@service_api_ns.doc(params={"message_id": "Message ID"})
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@service_api_ns.doc(
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responses={
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200: "Feedback submitted successfully",
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401: "Unauthorized - invalid API token",
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404: "Message not found",
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}
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)
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@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
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def post(self, app_model: App, end_user: EndUser, message_id):
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"""Submit feedback for a message.
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Allows users to rate messages as like/dislike and provide optional feedback content.
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"""
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message_id = str(message_id)
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payload = MessageFeedbackPayload.model_validate(service_api_ns.payload or {})
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try:
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MessageService.create_feedback(
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app_model=app_model,
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message_id=message_id,
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user=end_user,
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rating=payload.rating,
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content=payload.content,
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)
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except MessageNotExistsError:
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raise NotFound("Message Not Exists.")
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return {"result": "success"}
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@service_api_ns.route("/app/feedbacks")
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class AppGetFeedbacksApi(Resource):
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@service_api_ns.expect(service_api_ns.models[FeedbackListQuery.__name__])
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@service_api_ns.doc("get_app_feedbacks")
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@service_api_ns.doc(description="Get all feedbacks for the application")
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@service_api_ns.doc(
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responses={
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200: "Feedbacks retrieved successfully",
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401: "Unauthorized - invalid API token",
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}
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)
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@validate_app_token
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def get(self, app_model: App):
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"""Get all feedbacks for the application.
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Returns paginated list of all feedback submitted for messages in this app.
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"""
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query_args = FeedbackListQuery.model_validate(request.args.to_dict())
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feedbacks = MessageService.get_all_messages_feedbacks(app_model, page=query_args.page, limit=query_args.limit)
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return {"data": feedbacks}
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@service_api_ns.route("/messages/<uuid:message_id>/suggested")
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class MessageSuggestedApi(Resource):
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@service_api_ns.doc("get_suggested_questions")
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@service_api_ns.doc(description="Get suggested follow-up questions for a message")
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@service_api_ns.doc(params={"message_id": "Message ID"})
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@service_api_ns.doc(
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responses={
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200: "Suggested questions retrieved successfully",
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400: "Suggested questions feature is disabled",
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401: "Unauthorized - invalid API token",
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404: "Message not found",
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500: "Internal server error",
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}
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)
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@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY, required=True))
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def get(self, app_model: App, end_user: EndUser, message_id):
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"""Get suggested follow-up questions for a message.
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Returns AI-generated follow-up questions based on the message content.
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"""
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message_id = str(message_id)
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app_mode = AppMode.value_of(app_model.mode)
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if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
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raise NotChatAppError()
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try:
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questions = MessageService.get_suggested_questions_after_answer(
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app_model=app_model, user=end_user, message_id=message_id, invoke_from=InvokeFrom.SERVICE_API
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)
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except MessageNotExistsError:
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raise NotFound("Message Not Exists.")
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except SuggestedQuestionsAfterAnswerDisabledError:
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raise BadRequest("Suggested Questions Is Disabled.")
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except Exception:
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logger.exception("internal server error.")
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raise InternalServerError()
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return {"result": "success", "data": questions}
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