Files
dify/api/controllers/web/message.py

257 lines
9.9 KiB
Python

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