Files
dify/api/controllers/console/explore/message.py
L1nSn0w 52ef3f2367 fix(chatflow): correct reasoning streaming, explore rehydration, iteration persistence
- ReasoningPanel: derive text inline instead of useMemo([content]); the live
  stream mutates the reasoningContent object in place under a stable reference,
  so a content-keyed memo froze the panel after the first delta. Add a test that
  re-renders with the same mutated object to lock in streaming.
- Explore/installed-app message API: add ExploreMessageListItem +
  ExploreMessageInfiniteScrollPagination so message_metadata (incl. reasoning) is
  surfaced, letting chat-with-history rehydrate the thinking panel on reload.
  Base MessageListItem / service_api public contract left unchanged.
- Persist reasoning per LLM node by accumulating across iteration/loop passes
  (append, not overwrite) to match the live stream; guard on isinstance(str).
2026-06-23 14:35:52 +08:00

228 lines
8.8 KiB
Python

import logging
from typing import Literal
from uuid import UUID
from flask import request
from pydantic import BaseModel, TypeAdapter
from werkzeug.exceptions import InternalServerError, NotFound
from controllers.common.controller_schemas import MessageFeedbackPayload, MessageListQuery
from controllers.common.fields import GeneratedAppResponse
from controllers.common.schema import query_params_from_model, register_response_schema_models, register_schema_models
from controllers.console.app.error import (
AppMoreLikeThisDisabledError,
AppUnavailableError,
CompletionRequestError,
ProviderModelCurrentlyNotSupportError,
ProviderNotInitializeError,
ProviderQuotaExceededError,
)
from controllers.console.explore.error import (
AppSuggestedQuestionsAfterAnswerDisabledError,
NotChatAppError,
NotCompletionAppError,
)
from controllers.console.explore.wraps import InstalledAppResource
from controllers.console.wraps import with_current_user
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 (
ExploreMessageInfiniteScrollPagination,
ExploreMessageListItem,
SuggestedQuestionsResponse,
)
from graphon.model_runtime.errors.invoke import InvokeError
from libs import helper
from models import Account
from models.enums import FeedbackRating
from models.model import AppMode, InstalledApp
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
from .. import console_ns
logger = logging.getLogger(__name__)
class MoreLikeThisQuery(BaseModel):
response_mode: Literal["blocking", "streaming"]
register_schema_models(console_ns, MessageListQuery, MessageFeedbackPayload, MoreLikeThisQuery)
register_response_schema_models(
console_ns,
GeneratedAppResponse,
ExploreMessageInfiniteScrollPagination,
ResultResponse,
SuggestedQuestionsResponse,
)
@console_ns.route(
"/installed-apps/<uuid:installed_app_id>/messages",
endpoint="installed_app_messages",
)
class MessageListApi(InstalledAppResource):
@console_ns.doc(params=query_params_from_model(MessageListQuery))
@console_ns.response(200, "Success", console_ns.models[ExploreMessageInfiniteScrollPagination.__name__])
@with_current_user
def get(self, current_user: Account, installed_app: InstalledApp):
app_model = installed_app.app
if app_model is None:
raise AppUnavailableError()
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
raise NotChatAppError()
args = MessageListQuery.model_validate(request.args.to_dict())
try:
pagination = MessageService.pagination_by_first_id(
app_model,
current_user,
str(args.conversation_id),
str(args.first_id) if args.first_id else None,
args.limit,
)
adapter = TypeAdapter(ExploreMessageListItem)
items = [adapter.validate_python(message, from_attributes=True) for message in pagination.data]
return ExploreMessageInfiniteScrollPagination(
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.")
@console_ns.route(
"/installed-apps/<uuid:installed_app_id>/messages/<uuid:message_id>/feedbacks",
endpoint="installed_app_message_feedback",
)
class MessageFeedbackApi(InstalledAppResource):
@console_ns.expect(console_ns.models[MessageFeedbackPayload.__name__])
@console_ns.response(200, "Feedback submitted successfully", console_ns.models[ResultResponse.__name__])
@with_current_user
def post(self, current_user: Account, installed_app: InstalledApp, message_id: UUID):
app_model = installed_app.app
if app_model is None:
raise AppUnavailableError()
message_id_str = str(message_id)
payload = MessageFeedbackPayload.model_validate(console_ns.payload or {})
try:
MessageService.create_feedback(
app_model=app_model,
message_id=message_id_str,
user=current_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")
@console_ns.route(
"/installed-apps/<uuid:installed_app_id>/messages/<uuid:message_id>/more-like-this",
endpoint="installed_app_more_like_this",
)
class MessageMoreLikeThisApi(InstalledAppResource):
@console_ns.doc(params=query_params_from_model(MoreLikeThisQuery))
@console_ns.response(200, "Success", console_ns.models[GeneratedAppResponse.__name__])
@with_current_user
def get(self, current_user: Account, installed_app: InstalledApp, message_id: UUID):
app_model = installed_app.app
if app_model is None:
raise AppUnavailableError()
if app_model.mode != "completion":
raise NotCompletionAppError()
message_id_str = str(message_id)
args = MoreLikeThisQuery.model_validate(request.args.to_dict())
streaming = args.response_mode == "streaming"
try:
response = AppGenerateService.generate_more_like_this(
app_model=app_model,
user=current_user,
message_id=message_id_str,
invoke_from=InvokeFrom.EXPLORE,
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()
@console_ns.route(
"/installed-apps/<uuid:installed_app_id>/messages/<uuid:message_id>/suggested-questions",
endpoint="installed_app_suggested_question",
)
class MessageSuggestedQuestionApi(InstalledAppResource):
@console_ns.response(200, "Success", console_ns.models[SuggestedQuestionsResponse.__name__])
@with_current_user
def get(self, current_user: Account, installed_app: InstalledApp, message_id: UUID):
app_model = installed_app.app
if app_model is None:
raise AppUnavailableError()
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=current_user, message_id=message_id_str, invoke_from=InvokeFrom.EXPLORE
)
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")