mirror of https://github.com/langgenius/dify.git
270 lines
10 KiB
Python
270 lines
10 KiB
Python
import logging
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from typing import Literal
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from flask import request
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from pydantic import BaseModel, Field, TypeAdapter, field_validator
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from werkzeug.exceptions import InternalServerError, NotFound
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from controllers.common.schema import register_schema_models
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from controllers.web import web_ns
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from controllers.web.error import (
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AppMoreLikeThisDisabledError,
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AppSuggestedQuestionsAfterAnswerDisabledError,
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CompletionRequestError,
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NotChatAppError,
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NotCompletionAppError,
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ProviderModelCurrentlyNotSupportError,
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ProviderNotInitializeError,
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ProviderQuotaExceededError,
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)
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from controllers.web.wraps import WebApiResource
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from core.app.entities.app_invoke_entities import InvokeFrom
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from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
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from core.model_runtime.errors.invoke import InvokeError
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from fields.conversation_fields import ResultResponse
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from fields.message_fields import SuggestedQuestionsResponse, WebMessageInfiniteScrollPagination, WebMessageListItem
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from libs import helper
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from libs.helper import uuid_value
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from models.model import AppMode
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from services.app_generate_service import AppGenerateService
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from services.errors.app import MoreLikeThisDisabledError
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from services.errors.conversation import ConversationNotExistsError
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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: str = Field(description="Conversation UUID")
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first_id: str | None = Field(default=None, description="First message ID for pagination")
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limit: int = Field(default=20, ge=1, le=100, description="Number of messages to return (1-100)")
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@field_validator("conversation_id", "first_id")
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@classmethod
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def validate_uuid(cls, value: str | None) -> str | None:
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if value is None:
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return value
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return uuid_value(value)
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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 MessageMoreLikeThisQuery(BaseModel):
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response_mode: Literal["blocking", "streaming"] = Field(
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description="Response mode",
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)
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register_schema_models(web_ns, MessageListQuery, MessageFeedbackPayload, MessageMoreLikeThisQuery)
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@web_ns.route("/messages")
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class MessageListApi(WebApiResource):
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@web_ns.doc("Get Message List")
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@web_ns.doc(description="Retrieve paginated list of messages from a conversation in a chat application.")
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@web_ns.doc(
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params={
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"conversation_id": {"description": "Conversation UUID", "type": "string", "required": True},
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"first_id": {
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"description": "First message ID for pagination",
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"type": "string",
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"required": False,
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},
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"limit": {
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"description": "Number of messages to return (1-100)",
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"type": "integer",
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"required": False,
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"default": 20,
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},
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}
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)
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@web_ns.doc(
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responses={
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200: "Success",
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400: "Bad Request",
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401: "Unauthorized",
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403: "Forbidden",
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404: "Conversation Not Found or Not a Chat App",
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500: "Internal Server Error",
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}
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)
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def get(self, app_model, end_user):
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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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raw_args = request.args.to_dict()
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query = MessageListQuery.model_validate(raw_args)
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try:
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pagination = MessageService.pagination_by_first_id(
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app_model, end_user, query.conversation_id, query.first_id, query.limit
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)
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adapter = TypeAdapter(WebMessageListItem)
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items = [adapter.validate_python(message, from_attributes=True) for message in pagination.data]
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return WebMessageInfiniteScrollPagination(
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limit=pagination.limit,
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has_more=pagination.has_more,
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data=items,
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).model_dump(mode="json")
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except 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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@web_ns.route("/messages/<uuid:message_id>/feedbacks")
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class MessageFeedbackApi(WebApiResource):
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@web_ns.doc("Create Message Feedback")
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@web_ns.doc(description="Submit feedback (like/dislike) for a specific message.")
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@web_ns.doc(params={"message_id": {"description": "Message UUID", "type": "string", "required": True}})
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@web_ns.doc(
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params={
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"rating": {
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"description": "Feedback rating",
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"type": "string",
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"enum": ["like", "dislike"],
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"required": False,
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},
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"content": {"description": "Feedback content", "type": "string", "required": False},
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}
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)
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@web_ns.doc(
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responses={
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200: "Feedback submitted successfully",
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400: "Bad Request",
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401: "Unauthorized",
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403: "Forbidden",
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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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def post(self, app_model, end_user, message_id):
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message_id = str(message_id)
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payload = MessageFeedbackPayload.model_validate(web_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 ResultResponse(result="success").model_dump(mode="json")
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@web_ns.route("/messages/<uuid:message_id>/more-like-this")
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class MessageMoreLikeThisApi(WebApiResource):
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@web_ns.doc("Generate More Like This")
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@web_ns.doc(description="Generate a new completion similar to an existing message (completion apps only).")
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@web_ns.expect(web_ns.models[MessageMoreLikeThisQuery.__name__])
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@web_ns.doc(
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responses={
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200: "Success",
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400: "Bad Request - Not a completion app or feature disabled",
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401: "Unauthorized",
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403: "Forbidden",
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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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def get(self, app_model, end_user, message_id):
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if app_model.mode != "completion":
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raise NotCompletionAppError()
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message_id = str(message_id)
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raw_args = request.args.to_dict()
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query = MessageMoreLikeThisQuery.model_validate(raw_args)
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streaming = query.response_mode == "streaming"
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try:
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response = AppGenerateService.generate_more_like_this(
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app_model=app_model,
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user=end_user,
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message_id=message_id,
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invoke_from=InvokeFrom.WEB_APP,
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streaming=streaming,
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)
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return helper.compact_generate_response(response)
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except MessageNotExistsError:
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raise NotFound("Message Not Exists.")
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except MoreLikeThisDisabledError:
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raise AppMoreLikeThisDisabledError()
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except ProviderTokenNotInitError as ex:
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raise ProviderNotInitializeError(ex.description)
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except QuotaExceededError:
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raise ProviderQuotaExceededError()
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except ModelCurrentlyNotSupportError:
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raise ProviderModelCurrentlyNotSupportError()
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except InvokeError as e:
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raise CompletionRequestError(e.description)
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except ValueError as e:
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raise e
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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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@web_ns.route("/messages/<uuid:message_id>/suggested-questions")
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class MessageSuggestedQuestionApi(WebApiResource):
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@web_ns.doc("Get Suggested Questions")
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@web_ns.doc(description="Get suggested follow-up questions after a message (chat apps only).")
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@web_ns.doc(params={"message_id": {"description": "Message UUID", "type": "string", "required": True}})
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@web_ns.doc(
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responses={
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200: "Success",
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400: "Bad Request - Not a chat app or feature disabled",
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401: "Unauthorized",
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403: "Forbidden",
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404: "Message Not Found or Conversation Not Found",
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500: "Internal Server Error",
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}
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)
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def get(self, app_model, end_user, 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 NotCompletionAppError()
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message_id = str(message_id)
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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.WEB_APP
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)
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# questions is a list of strings, not a list of Message objects
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except MessageNotExistsError:
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raise NotFound("Message not found")
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except ConversationNotExistsError:
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raise NotFound("Conversation not found")
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except SuggestedQuestionsAfterAnswerDisabledError:
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raise AppSuggestedQuestionsAfterAnswerDisabledError()
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except ProviderTokenNotInitError as ex:
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raise ProviderNotInitializeError(ex.description)
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except QuotaExceededError:
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raise ProviderQuotaExceededError()
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except ModelCurrentlyNotSupportError:
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raise ProviderModelCurrentlyNotSupportError()
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except InvokeError as e:
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raise CompletionRequestError(e.description)
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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 SuggestedQuestionsResponse(data=questions).model_dump(mode="json")
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