Merge branch 'main' into fix/chore-fix

.github/actions/setup-poetry/action.yml

@@ -0,0 +1,36 @@
+name: Setup Poetry and Python
+
+inputs:
+  python-version:
+    description: Python version to use and the Poetry installed with
+    required: true
+    default: '3.10'
+  poetry-version:
+    description: Poetry version to set up
+    required: true
+    default: '1.8.4'
+  poetry-lockfile:
+    description: Path to the Poetry lockfile to restore cache from
+    required: true
+    default: ''
+
+runs:
+  using: composite
+  steps:
+    - name: Set up Python ${{ inputs.python-version }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ inputs.python-version }}
+        cache: pip
+
+    - name: Install Poetry
+      shell: bash
+      run: pip install poetry==${{ inputs.poetry-version }}
+
+    - name: Restore Poetry cache
+      if: ${{ inputs.poetry-lockfile != '' }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ inputs.python-version }}
+        cache: poetry
+        cache-dependency-path: ${{ inputs.poetry-lockfile }}

.github/workflows/api-tests.yml

@@ -28,15 +28,11 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Install Poetry
-        uses: abatilo/actions-poetry@v3
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
         with:
           python-version: ${{ matrix.python-version }}
-          cache: poetry
-          cache-dependency-path: api/poetry.lock
+          poetry-lockfile: api/poetry.lock
 
       - name: Check Poetry lockfile
         run: |

.github/workflows/db-migration-test.yml

@@ -15,25 +15,15 @@ concurrency:
 jobs:
   db-migration-test:
     runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version:
-          - "3.10"
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
+      - name: Setup Poetry and Python
+        uses: ./.github/actions/setup-poetry
         with:
-          python-version: ${{ matrix.python-version }}
-          cache-dependency-path: |
-            api/pyproject.toml
-            api/poetry.lock
-
-      - name: Install Poetry
-        uses: abatilo/actions-poetry@v3
+          poetry-lockfile: api/poetry.lock
 
       - name: Install dependencies
         run: poetry install -C api

.github/workflows/style.yml

@@ -22,34 +22,28 @@ jobs:
         id: changed-files
         uses: tj-actions/changed-files@v45
         with:
-          files: api/**
-
-      - name: Install Poetry
-        if: steps.changed-files.outputs.any_changed == 'true'
-        uses: abatilo/actions-poetry@v3
+          files: |
+            api/**
+            .github/workflows/style.yml
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Setup Poetry and Python
         if: steps.changed-files.outputs.any_changed == 'true'
-        with:
-          python-version: '3.10'
+        uses: ./.github/actions/setup-poetry
 
-      - name: Python dependencies
+      - name: Install dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
         run: poetry install -C api --only lint
 
       - name: Ruff check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -C api ruff check ./api
+        run: |
+          poetry run -C api ruff check ./api
+          poetry run -C api ruff format --check ./api
 
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
         run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
 
-      - name: Ruff formatter check
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -C api ruff format --check ./api
-
       - name: Lint hints
         if: failure()
         run: echo "Please run 'dev/reformat' to fix the fixable linting errors."

.github/workflows/vdb-tests.yml

@@ -28,15 +28,11 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Install Poetry
-        uses: abatilo/actions-poetry@v3
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
         with:
           python-version: ${{ matrix.python-version }}
-          cache: poetry
-          cache-dependency-path: api/poetry.lock
+          poetry-lockfile: api/poetry.lock
 
       - name: Check Poetry lockfile
         run: |

README.md

@@ -177,3 +177,4 @@ To protect your privacy, please avoid posting security issues on GitHub. Instead
 ## License
 
 This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
+

api/.env.example

@@ -367,6 +367,10 @@ LOG_FILE=
 LOG_FILE_MAX_SIZE=20
 # Log file max backup count
 LOG_FILE_BACKUP_COUNT=5
+# Log dateformat
+LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
+# Log Timezone
+LOG_TZ=UTC
 
 # Indexing configuration
 INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
@@ -407,3 +411,5 @@ MARKETPLACE_API_URL=https://marketplace.dify.ai
 
 # Reset password token expiry minutes
 RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
+
+CREATE_TIDB_SERVICE_JOB_ENABLED=false

api/Dockerfile

@@ -4,7 +4,7 @@ FROM python:3.10-slim-bookworm AS base
 WORKDIR /app/api
 
 # Install Poetry
-ENV POETRY_VERSION=1.8.3
+ENV POETRY_VERSION=1.8.4
 
 # if you located in China, you can use aliyun mirror to speed up
 # RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/

api/configs/feature/__init__.py

@@ -429,7 +429,7 @@ class LoggingConfig(BaseSettings):
 
     LOG_TZ: Optional[str] = Field(
         description="Timezone for log timestamps (e.g., 'America/New_York')",
-        default=None,
+        default="UTC",
     )
 
 
@@ -664,6 +664,11 @@ class DataSetConfig(BaseSettings):
         default=500,
     )
 
+    CREATE_TIDB_SERVICE_JOB_ENABLED: bool = Field(
+        description="Enable or disable create tidb service job",
+        default=False,
+    )
+
 
 class WorkspaceConfig(BaseSettings):
     """

api/controllers/console/datasets/datasets_document.py

@@ -328,8 +328,11 @@ class DatasetInitApi(Resource):
                 raise ValueError("embedding model and embedding model provider are required for high quality indexing.")
             try:
                 model_manager = ModelManager()
-                model_manager.get_default_model_instance(
-                    tenant_id=current_user.current_tenant_id, model_type=ModelType.TEXT_EMBEDDING
+                model_manager.get_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    provider=args["embedding_model_provider"],
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=args["embedding_model"],
                 )
             except InvokeAuthorizationError:
                 raise ProviderNotInitializeError(

api/controllers/service_api/app/conversation.py

@@ -62,9 +62,10 @@ class ConversationDetailApi(Resource):
         conversation_id = str(c_id)
 
         try:
-            return ConversationService.delete(app_model, conversation_id, end_user)
+            ConversationService.delete(app_model, conversation_id, end_user)
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
+        return {"result": "success"}, 200
 
 
 class ConversationRenameApi(Resource):

api/controllers/service_api/app/message.py

@@ -10,6 +10,7 @@ from controllers.service_api.app.error import NotChatAppError
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.app.entities.app_invoke_entities import InvokeFrom
 from fields.conversation_fields import message_file_fields
+from fields.raws import FilesContainedField
 from libs.helper import TimestampField, uuid_value
 from models.model import App, AppMode, EndUser
 from services.errors.message import SuggestedQuestionsAfterAnswerDisabledError
@@ -55,7 +56,7 @@ class MessageListApi(Resource):
         "id": fields.String,
         "conversation_id": fields.String,
         "parent_message_id": fields.String,
-        "inputs": fields.Raw,
+        "inputs": FilesContainedField,
         "query": fields.String,
         "answer": fields.String(attribute="re_sign_file_url_answer"),
         "message_files": fields.List(fields.Nested(message_file_fields)),

api/core/agent/base_agent_runner.py

@@ -29,6 +29,7 @@ from core.model_runtime.entities import (
     ToolPromptMessage,
     UserPromptMessage,
 )
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.model_runtime.entities.model_entities import ModelFeature
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
 from core.prompt.utils.extract_thread_messages import extract_thread_messages
@@ -488,24 +489,27 @@ class BaseAgentRunner(AppRunner):
 
     def organize_agent_user_prompt(self, message: Message) -> UserPromptMessage:
         files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
-        if files:
-            assert message.app_model_config
-            file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
-
-            if file_extra_config:
-                file_objs = file_factory.build_from_message_files(
-                    message_files=files, tenant_id=self.tenant_id, config=file_extra_config
-                )
-            else:
-                file_objs = []
+        if not files:
+            return UserPromptMessage(content=message.query)
+        file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
+        if not file_extra_config:
+            return UserPromptMessage(content=message.query)
 
-            if not file_objs:
-                return UserPromptMessage(content=message.query)
-            else:
-                prompt_message_contents: list[PromptMessageContent] = [TextPromptMessageContent(data=message.query)]
-                for file_obj in file_objs:
-                    prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
+        image_detail_config = file_extra_config.image_config.detail if file_extra_config.image_config else None
+        image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
 
-                return UserPromptMessage(content=prompt_message_contents)
-        else:
+        file_objs = file_factory.build_from_message_files(
+            message_files=files, tenant_id=self.tenant_id, config=file_extra_config
+        )
+        if not file_objs:
             return UserPromptMessage(content=message.query)
+        prompt_message_contents: list[PromptMessageContent] = []
+        prompt_message_contents.append(TextPromptMessageContent(data=message.query))
+        for file in file_objs:
+            prompt_message_contents.append(
+                file_manager.to_prompt_message_content(
+                    file,
+                    image_detail_config=image_detail_config,
+                )
+            )
+        return UserPromptMessage(content=prompt_message_contents)

api/core/agent/cot_chat_agent_runner.py

@@ -10,6 +10,7 @@ from core.model_runtime.entities import (
     TextPromptMessageContent,
     UserPromptMessage,
 )
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.model_runtime.utils.encoders import jsonable_encoder
 
 
@@ -37,9 +38,26 @@ class CotChatAgentRunner(CotAgentRunner):
         Organize user query
         """
         if self.files:
-            prompt_message_contents: list[PromptMessageContent] = [TextPromptMessageContent(data=query)]
-            for file_obj in self.files:
-                prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
+            prompt_message_contents: list[PromptMessageContent] = []
+            prompt_message_contents.append(TextPromptMessageContent(data=query))
+
+            # get image detail config
+            image_detail_config = (
+                self.application_generate_entity.file_upload_config.image_config.detail
+                if (
+                    self.application_generate_entity.file_upload_config
+                    and self.application_generate_entity.file_upload_config.image_config
+                )
+                else None
+            )
+            image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
+            for file in self.files:
+                prompt_message_contents.append(
+                    file_manager.to_prompt_message_content(
+                        file,
+                        image_detail_config=image_detail_config,
+                    )
+                )
 
             prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
         else:

api/core/agent/fc_agent_runner.py

@@ -22,6 +22,7 @@ from core.model_runtime.entities import (
     ToolPromptMessage,
     UserPromptMessage,
 )
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform
 from core.tools.entities.tool_entities import ToolInvokeMeta
 from core.tools.tool_engine import ToolEngine
@@ -392,9 +393,26 @@ class FunctionCallAgentRunner(BaseAgentRunner):
         Organize user query
         """
         if self.files:
-            prompt_message_contents: list[PromptMessageContent] = [TextPromptMessageContent(data=query)]
-            for file_obj in self.files:
-                prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
+            prompt_message_contents: list[PromptMessageContent] = []
+            prompt_message_contents.append(TextPromptMessageContent(data=query))
+
+            # get image detail config
+            image_detail_config = (
+                self.application_generate_entity.file_upload_config.image_config.detail
+                if (
+                    self.application_generate_entity.file_upload_config
+                    and self.application_generate_entity.file_upload_config.image_config
+                )
+                else None
+            )
+            image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW
+            for file in self.files:
+                prompt_message_contents.append(
+                    file_manager.to_prompt_message_content(
+                        file,
+                        image_detail_config=image_detail_config,
+                    )
+                )
 
             prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
         else:

api/core/app/app_config/entities.py

@@ -4,7 +4,7 @@ from typing import Any, Optional
 
 from pydantic import BaseModel, Field, field_validator
 
-from core.file import FileExtraConfig, FileTransferMethod, FileType
+from core.file import FileTransferMethod, FileType, FileUploadConfig
 from core.model_runtime.entities.message_entities import PromptMessageRole
 from models.model import AppMode
 
@@ -211,7 +211,7 @@ class TracingConfigEntity(BaseModel):
 
 
 class AppAdditionalFeatures(BaseModel):
-    file_upload: Optional[FileExtraConfig] = None
+    file_upload: Optional[FileUploadConfig] = None
     opening_statement: Optional[str] = None
     suggested_questions: list[str] = []
     suggested_questions_after_answer: bool = False

api/core/app/app_config/features/file_upload/manager.py

@@ -1,7 +1,7 @@
 from collections.abc import Mapping
 from typing import Any
 
-from core.file import FileExtraConfig
+from core.file import FileUploadConfig
 
 
 class FileUploadConfigManager:
@@ -29,19 +29,18 @@ class FileUploadConfigManager:
                 if is_vision:
                     data["image_config"]["detail"] = file_upload_dict.get("image", {}).get("detail", "low")
 
-                return FileExtraConfig.model_validate(data)
+                return FileUploadConfig.model_validate(data)
 
     @classmethod
-    def validate_and_set_defaults(cls, config: dict, is_vision: bool = True) -> tuple[dict, list[str]]:
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
         """
         Validate and set defaults for file upload feature
 
         :param config: app model config args
-        :param is_vision: if True, the feature is vision feature
         """
         if not config.get("file_upload"):
             config["file_upload"] = {}
         else:
-            FileExtraConfig.model_validate(config["file_upload"])
+            FileUploadConfig.model_validate(config["file_upload"])
 
         return config, ["file_upload"]

api/core/app/apps/advanced_chat/app_config_manager.py

@@ -52,9 +52,7 @@ class AdvancedChatAppConfigManager(BaseAppConfigManager):
         related_config_keys = []
 
         # file upload validation
-        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(
-            config=config, is_vision=False
-        )
+        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
         related_config_keys.extend(current_related_config_keys)
 
         # opening_statement

api/core/app/apps/advanced_chat/app_generator.py

@@ -26,7 +26,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models.account import Account
-from models.enums import CreatedByRole
 from models.model import App, Conversation, EndUser, Message
 from models.workflow import Workflow
 
@@ -109,13 +108,10 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         # parse files
         files = args["files"] if args.get("files") else []
         file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
         if file_extra_config:
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -138,10 +134,11 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         application_generate_entity = AdvancedChatAppGenerateEntity(
             task_id=str(uuid.uuid4()),
             app_config=app_config,
+            file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
             inputs=conversation.inputs
             if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,

api/core/app/apps/agent_chat/app_generator.py

@@ -23,7 +23,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models import Account, App, EndUser
-from models.enums import CreatedByRole
 
 logger = logging.getLogger(__name__)
 
@@ -108,8 +107,6 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             # always enable retriever resource in debugger mode
             override_model_config_dict["retriever_resource"] = {"enabled": True}
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         files = args.get("files") or []
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
@@ -117,8 +114,6 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -140,10 +135,11 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             task_id=str(uuid.uuid4()),
             app_config=app_config,
             model_conf=ModelConfigConverter.convert(app_config),
+            file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
             inputs=conversation.inputs
             if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,

api/core/app/apps/base_app_generator.py

@@ -3,12 +3,11 @@ from collections.abc import Generator, Mapping
 from typing import TYPE_CHECKING, Any, Optional, Union
 
 from core.app.app_config.entities import VariableEntityType
-from core.file import File, FileExtraConfig
+from core.file import File, FileUploadConfig
 from factories import file_factory
 
 if TYPE_CHECKING:
     from core.app.app_config.entities import AppConfig, VariableEntity
-    from models.enums import CreatedByRole
 
 
 class BaseAppGenerator:
@@ -17,8 +16,6 @@ class BaseAppGenerator:
         *,
         user_inputs: Optional[Mapping[str, Any]],
         app_config: "AppConfig",
-        user_id: str,
-        role: "CreatedByRole",
     ) -> Mapping[str, Any]:
         user_inputs = user_inputs or {}
         # Filter input variables from form configuration, handle required fields, default values, and option values
@@ -35,9 +32,7 @@ class BaseAppGenerator:
             k: file_factory.build_from_mapping(
                 mapping=v,
                 tenant_id=app_config.tenant_id,
-                user_id=user_id,
-                role=role,
-                config=FileExtraConfig(
+                config=FileUploadConfig(
                     allowed_file_types=entity_dictionary[k].allowed_file_types,
                     allowed_extensions=entity_dictionary[k].allowed_file_extensions,
                     allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
@@ -51,9 +46,7 @@ class BaseAppGenerator:
             k: file_factory.build_from_mappings(
                 mappings=v,
                 tenant_id=app_config.tenant_id,
-                user_id=user_id,
-                role=role,
-                config=FileExtraConfig(
+                config=FileUploadConfig(
                     allowed_file_types=entity_dictionary[k].allowed_file_types,
                     allowed_extensions=entity_dictionary[k].allowed_file_extensions,
                     allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,

api/core/app/apps/chat/app_generator.py

@@ -23,7 +23,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models.account import Account
-from models.enums import CreatedByRole
 from models.model import App, EndUser
 
 logger = logging.getLogger(__name__)
@@ -111,8 +110,6 @@ class ChatAppGenerator(MessageBasedAppGenerator):
             # always enable retriever resource in debugger mode
             override_model_config_dict["retriever_resource"] = {"enabled": True}
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         files = args["files"] if args.get("files") else []
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
@@ -120,8 +117,6 @@ class ChatAppGenerator(MessageBasedAppGenerator):
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -143,10 +138,11 @@ class ChatAppGenerator(MessageBasedAppGenerator):
             task_id=str(uuid.uuid4()),
             app_config=app_config,
             model_conf=ModelConfigConverter.convert(app_config),
+            file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
             inputs=conversation.inputs
             if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,

api/core/app/apps/completion/app_generator.py

@@ -22,7 +22,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models import Account, App, EndUser, Message
-from models.enums import CreatedByRole
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.message import MessageNotExistsError
 
@@ -98,8 +97,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
                 tenant_id=app_model.tenant_id, config=args.get("model_config")
             )
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         files = args["files"] if args.get("files") else []
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
@@ -107,8 +104,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
             file_objs = file_factory.build_from_mappings(
                 mappings=files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:
@@ -120,7 +115,6 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         )
 
         # get tracing instance
-        user_id = user.id if isinstance(user, Account) else user.session_id
         trace_manager = TraceQueueManager(app_model.id)
 
         # init application generate entity
@@ -128,7 +122,8 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
             task_id=str(uuid.uuid4()),
             app_config=app_config,
             model_conf=ModelConfigConverter.convert(app_config),
-            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            file_upload_config=file_extra_config,
+            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             query=query,
             files=file_objs,
             user_id=user.id,
@@ -269,14 +264,11 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         override_model_config_dict["model"] = model_dict
 
         # parse files
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
         file_extra_config = FileUploadConfigManager.convert(override_model_config_dict)
         if file_extra_config:
             file_objs = file_factory.build_from_mappings(
                 mappings=message.message_files,
                 tenant_id=app_model.tenant_id,
-                user_id=user.id,
-                role=role,
                 config=file_extra_config,
             )
         else:

api/core/app/apps/workflow/app_config_manager.py

@@ -46,9 +46,7 @@ class WorkflowAppConfigManager(BaseAppConfigManager):
         related_config_keys = []
 
         # file upload validation
-        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(
-            config=config, is_vision=False
-        )
+        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
         related_config_keys.extend(current_related_config_keys)
 
         # text_to_speech

api/core/app/apps/workflow/app_generator.py

@@ -25,7 +25,6 @@ from core.ops.ops_trace_manager import TraceQueueManager
 from extensions.ext_database import db
 from factories import file_factory
 from models import Account, App, EndUser, Workflow
-from models.enums import CreatedByRole
 
 logger = logging.getLogger(__name__)
 
@@ -82,15 +81,11 @@ class WorkflowAppGenerator(BaseAppGenerator):
     ):
         files: Sequence[Mapping[str, Any]] = args.get("files") or []
 
-        role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
-
         # parse files
         file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
         system_files = file_factory.build_from_mappings(
             mappings=files,
             tenant_id=app_model.tenant_id,
-            user_id=user.id,
-            role=role,
             config=file_extra_config,
         )
 
@@ -112,7 +107,8 @@ class WorkflowAppGenerator(BaseAppGenerator):
         application_generate_entity = WorkflowAppGenerateEntity(
             task_id=str(uuid.uuid4()),
             app_config=app_config,
-            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
+            file_upload_config=file_extra_config,
+            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
             files=system_files,
             user_id=user.id,
             stream=stream,

api/core/app/entities/app_invoke_entities.py

@@ -7,7 +7,7 @@ from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validat
 from constants import UUID_NIL
 from core.app.app_config.entities import AppConfig, EasyUIBasedAppConfig, WorkflowUIBasedAppConfig
 from core.entities.provider_configuration import ProviderModelBundle
-from core.file.models import File
+from core.file import File, FileUploadConfig
 from core.model_runtime.entities.model_entities import AIModelEntity
 from core.ops.ops_trace_manager import TraceQueueManager
 
@@ -80,6 +80,7 @@ class AppGenerateEntity(BaseModel):
 
     # app config
     app_config: AppConfig
+    file_upload_config: Optional[FileUploadConfig] = None
 
     inputs: Mapping[str, Any]
     files: Sequence[File]

api/core/file/__init__.py

@@ -2,13 +2,13 @@ from .constants import FILE_MODEL_IDENTITY
 from .enums import ArrayFileAttribute, FileAttribute, FileBelongsTo, FileTransferMethod, FileType
 from .models import (
     File,
-    FileExtraConfig,
+    FileUploadConfig,
     ImageConfig,
 )
 
 __all__ = [
     "FileType",
-    "FileExtraConfig",
+    "FileUploadConfig",
     "FileTransferMethod",
     "FileBelongsTo",
     "File",

api/core/file/file_manager.py

@@ -33,25 +33,28 @@ def get_attr(*, file: File, attr: FileAttribute):
             raise ValueError(f"Invalid file attribute: {attr}")
 
 
-def to_prompt_message_content(f: File, /):
+def to_prompt_message_content(
+    f: File,
+    /,
+    *,
+    image_detail_config: ImagePromptMessageContent.DETAIL = ImagePromptMessageContent.DETAIL.LOW,
+):
     """
-    Convert a File object to an ImagePromptMessageContent object.
+    Convert a File object to an ImagePromptMessageContent or AudioPromptMessageContent object.
 
-    This function takes a File object and converts it to an ImagePromptMessageContent
-    object, which can be used as a prompt for image-based AI models.
+    This function takes a File object and converts it to an appropriate PromptMessageContent
+    object, which can be used as a prompt for image or audio-based AI models.
 
     Args:
-        file (File): The File object to convert. Must be of type FileType.IMAGE.
+        f (File): The File object to convert.
+        detail (Optional[ImagePromptMessageContent.DETAIL]): The detail level for image prompts.
+            If not provided, defaults to ImagePromptMessageContent.DETAIL.LOW.
 
     Returns:
-        ImagePromptMessageContent: An object containing the image data and detail level.
+        Union[ImagePromptMessageContent, AudioPromptMessageContent]: An object containing the file data and detail level
 
     Raises:
-        ValueError: If the file is not an image or if the file data is missing.
-
-    Note:
-        The detail level of the image prompt is determined by the file's extra_config.
-        If not specified, it defaults to ImagePromptMessageContent.DETAIL.LOW.
+        ValueError: If the file type is not supported or if required data is missing.
     """
     match f.type:
         case FileType.IMAGE:
@@ -60,12 +63,7 @@ def to_prompt_message_content(f: File, /):
             else:
                 data = _to_base64_data_string(f)
 
-            if f._extra_config and f._extra_config.image_config and f._extra_config.image_config.detail:
-                detail = f._extra_config.image_config.detail
-            else:
-                detail = ImagePromptMessageContent.DETAIL.LOW
-
-            return ImagePromptMessageContent(data=data, detail=detail)
+            return ImagePromptMessageContent(data=data, detail=image_detail_config)
         case FileType.AUDIO:
             encoded_string = _file_to_encoded_string(f)
             if f.extension is None:
@@ -78,7 +76,7 @@ def to_prompt_message_content(f: File, /):
                 data = _to_base64_data_string(f)
             return VideoPromptMessageContent(data=data, format=f.extension.lstrip("."))
         case _:
-            raise ValueError(f"file type {f.type} is not supported")
+            raise ValueError("file type f.type is not supported")
 
 
 def download(f: File, /):

api/core/file/models.py

@@ -21,7 +21,7 @@ class ImageConfig(BaseModel):
     detail: ImagePromptMessageContent.DETAIL | None = None
 
 
-class FileExtraConfig(BaseModel):
+class FileUploadConfig(BaseModel):
     """
     File Upload Entity.
     """
@@ -46,7 +46,6 @@ class File(BaseModel):
     extension: Optional[str] = Field(default=None, description="File extension, should contains dot")
     mime_type: Optional[str] = None
     size: int = -1
-    _extra_config: FileExtraConfig | None = None
 
     def to_dict(self) -> Mapping[str, str | int | None]:
         data = self.model_dump(mode="json")
@@ -107,34 +106,4 @@ class File(BaseModel):
             case FileTransferMethod.TOOL_FILE:
                 if not self.related_id:
                     raise ValueError("Missing file related_id")
-
-        # Validate the extra config.
-        if not self._extra_config:
-            return self
-
-        if self._extra_config.allowed_file_types:
-            if self.type not in self._extra_config.allowed_file_types and self.type != FileType.CUSTOM:
-                raise ValueError(f"Invalid file type: {self.type}")
-
-        if self._extra_config.allowed_extensions and self.extension not in self._extra_config.allowed_extensions:
-            raise ValueError(f"Invalid file extension: {self.extension}")
-
-        if (
-            self._extra_config.allowed_upload_methods
-            and self.transfer_method not in self._extra_config.allowed_upload_methods
-        ):
-            raise ValueError(f"Invalid transfer method: {self.transfer_method}")
-
-        match self.type:
-            case FileType.IMAGE:
-                # NOTE: This part of validation is deprecated, but still used in app features "Image Upload".
-                if not self._extra_config.image_config:
-                    return self
-                # TODO: skip check if transfer_methods is empty, because many test cases are not setting this field
-                if (
-                    self._extra_config.image_config.transfer_methods
-                    and self.transfer_method not in self._extra_config.image_config.transfer_methods
-                ):
-                    raise ValueError(f"Invalid transfer method: {self.transfer_method}")
-
         return self

api/core/helper/code_executor/__init__.py

@@ -0,0 +1,3 @@
+from .code_executor import CodeExecutor, CodeLanguage
+
+__all__ = ["CodeExecutor", "CodeLanguage"]

api/core/helper/code_executor/code_executor.py

@@ -1,7 +1,8 @@
 import logging
+from collections.abc import Mapping
 from enum import Enum
 from threading import Lock
-from typing import Optional
+from typing import Any, Optional
 
 from httpx import Timeout, post
 from pydantic import BaseModel
@@ -117,7 +118,7 @@ class CodeExecutor:
         return response.data.stdout or ""
 
     @classmethod
-    def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: dict) -> dict:
+    def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: Mapping[str, Any]) -> dict:
         """
         Execute code
         :param language: code language

api/core/helper/code_executor/template_transformer.py

@@ -2,6 +2,8 @@ import json
 import re
 from abc import ABC, abstractmethod
 from base64 import b64encode
+from collections.abc import Mapping
+from typing import Any
 
 
 class TemplateTransformer(ABC):
@@ -10,7 +12,7 @@ class TemplateTransformer(ABC):
     _result_tag: str = "<<RESULT>>"
 
     @classmethod
-    def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
+    def transform_caller(cls, code: str, inputs: Mapping[str, Any]) -> tuple[str, str]:
         """
         Transform code to python runner
         :param code: code
@@ -48,13 +50,13 @@ class TemplateTransformer(ABC):
         pass
 
     @classmethod
-    def serialize_inputs(cls, inputs: dict) -> str:
+    def serialize_inputs(cls, inputs: Mapping[str, Any]) -> str:
         inputs_json_str = json.dumps(inputs, ensure_ascii=False).encode()
         input_base64_encoded = b64encode(inputs_json_str).decode("utf-8")
         return input_base64_encoded
 
     @classmethod
-    def assemble_runner_script(cls, code: str, inputs: dict) -> str:
+    def assemble_runner_script(cls, code: str, inputs: Mapping[str, Any]) -> str:
         # assemble runner script
         script = cls.get_runner_script()
         script = script.replace(cls._code_placeholder, code)

api/core/memory/token_buffer_memory.py

@@ -81,15 +81,18 @@ class TokenBufferMemory:
                             db.session.query(WorkflowRun).filter(WorkflowRun.id == message.workflow_run_id).first()
                         )
 
-                        if workflow_run:
+                        if workflow_run and workflow_run.workflow:
                             file_extra_config = FileUploadConfigManager.convert(
                                 workflow_run.workflow.features_dict, is_vision=False
                             )
 
+                detail = ImagePromptMessageContent.DETAIL.LOW
                 if file_extra_config and app_record:
                     file_objs = file_factory.build_from_message_files(
                         message_files=files, tenant_id=app_record.tenant_id, config=file_extra_config
                     )
+                    if file_extra_config.image_config and file_extra_config.image_config.detail:
+                        detail = file_extra_config.image_config.detail
                 else:
                     file_objs = []
 
@@ -98,12 +101,16 @@ class TokenBufferMemory:
                 else:
                     prompt_message_contents: list[PromptMessageContent] = []
                     prompt_message_contents.append(TextPromptMessageContent(data=message.query))
-                    for file_obj in file_objs:
-                        if file_obj.type in {FileType.IMAGE, FileType.AUDIO}:
-                            prompt_message = file_manager.to_prompt_message_content(file_obj)
+                    for file in file_objs:
+                        if file.type in {FileType.IMAGE, FileType.AUDIO}:
+                            prompt_message = file_manager.to_prompt_message_content(
+                                file,
+                                image_detail_config=detail,
+                            )
                             prompt_message_contents.append(prompt_message)
 
                     prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
+
             else:
                 prompt_messages.append(UserPromptMessage(content=message.query))
 

api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml

@@ -13,9 +13,9 @@ parameter_rules:
     use_template: max_tokens
     required: true
     type: int
-    default: 4096
+    default: 8192
     min: 1
-    max: 4096
+    max: 8192
     help:
       zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
       en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.

api/core/model_runtime/model_providers/vessl_ai/vessl_ai.yaml

@@ -1,6 +1,6 @@
 provider: vessl_ai
 label:
-  en_US: vessl_ai
+  en_US: VESSL AI
 icon_small:
   en_US: icon_s_en.svg
 icon_large:
@@ -20,28 +20,28 @@ model_credential_schema:
     label:
       en_US: Model Name
     placeholder:
-      en_US: Enter your model name
+      en_US: Enter model name
   credential_form_schemas:
     - variable: endpoint_url
       label:
-        en_US: endpoint url
+        en_US: Endpoint Url
       type: text-input
       required: true
       placeholder:
-        en_US: Enter the url of your endpoint url
+        en_US: Enter VESSL AI service endpoint url
     - variable: api_key
       required: true
       label:
         en_US: API Key
       type: secret-input
       placeholder:
-        en_US: Enter your VESSL AI secret key
+        en_US: Enter VESSL AI secret key
     - variable: mode
       show_on:
         - variable: __model_type
           value: llm
       label:
-        en_US: Completion mode
+        en_US: Completion Mode
       type: select
       required: false
       default: chat

api/core/ops/entities/config_entity.py

@@ -54,3 +54,7 @@ class LangSmithConfig(BaseTracingConfig):
             raise ValueError("endpoint must start with https://")
 
         return v
+
+
+OPS_FILE_PATH = "ops_trace/"
+OPS_TRACE_FAILED_KEY = "FAILED_OPS_TRACE"

api/core/ops/entities/trace_entity.py

@@ -23,6 +23,11 @@ class BaseTraceInfo(BaseModel):
             return v
         return ""
 
+    class Config:
+        json_encoders = {
+            datetime: lambda v: v.isoformat(),
+        }
+
 
 class WorkflowTraceInfo(BaseTraceInfo):
     workflow_data: Any
@@ -100,6 +105,12 @@ class GenerateNameTraceInfo(BaseTraceInfo):
     tenant_id: str
 
 
+class TaskData(BaseModel):
+    app_id: str
+    trace_info_type: str
+    trace_info: Any
+
+
 trace_info_info_map = {
     "WorkflowTraceInfo": WorkflowTraceInfo,
     "MessageTraceInfo": MessageTraceInfo,

api/core/ops/ops_trace_manager.py

@@ -6,12 +6,13 @@ import threading
 import time
 from datetime import timedelta
 from typing import Any, Optional, Union
-from uuid import UUID
+from uuid import UUID, uuid4
 
 from flask import current_app
 
 from core.helper.encrypter import decrypt_token, encrypt_token, obfuscated_token
 from core.ops.entities.config_entity import (
+    OPS_FILE_PATH,
     LangfuseConfig,
     LangSmithConfig,
     TracingProviderEnum,
@@ -22,6 +23,7 @@ from core.ops.entities.trace_entity import (
     MessageTraceInfo,
     ModerationTraceInfo,
     SuggestedQuestionTraceInfo,
+    TaskData,
     ToolTraceInfo,
     TraceTaskName,
     WorkflowTraceInfo,
@@ -30,6 +32,7 @@ from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
 from core.ops.langsmith_trace.langsmith_trace import LangSmithDataTrace
 from core.ops.utils import get_message_data
 from extensions.ext_database import db
+from extensions.ext_storage import storage
 from models.model import App, AppModelConfig, Conversation, Message, MessageAgentThought, MessageFile, TraceAppConfig
 from models.workflow import WorkflowAppLog, WorkflowRun
 from tasks.ops_trace_task import process_trace_tasks
@@ -740,10 +743,17 @@ class TraceQueueManager:
     def send_to_celery(self, tasks: list[TraceTask]):
         with self.flask_app.app_context():
             for task in tasks:
+                file_id = uuid4().hex
                 trace_info = task.execute()
-                task_data = {
+                task_data = TaskData(
+                    app_id=task.app_id,
+                    trace_info_type=type(trace_info).__name__,
+                    trace_info=trace_info.model_dump() if trace_info else None,
+                )
+                file_path = f"{OPS_FILE_PATH}{task.app_id}/{file_id}.json"
+                storage.save(file_path, task_data.model_dump_json().encode("utf-8"))
+                file_info = {
+                    "file_id": file_id,
                     "app_id": task.app_id,
-                    "trace_info_type": type(trace_info).__name__,
-                    "trace_info": trace_info.model_dump() if trace_info else {},
                 }
-                process_trace_tasks.delay(task_data)
+                process_trace_tasks.delay(file_info)

api/core/prompt/advanced_prompt_transform.py

@@ -15,6 +15,7 @@ from core.model_runtime.entities import (
     TextPromptMessageContent,
     UserPromptMessage,
 )
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate, MemoryConfig
 from core.prompt.prompt_transform import PromptTransform
 from core.prompt.utils.prompt_template_parser import PromptTemplateParser
@@ -26,8 +27,13 @@ class AdvancedPromptTransform(PromptTransform):
     Advanced Prompt Transform for Workflow LLM Node.
     """
 
-    def __init__(self, with_variable_tmpl: bool = False) -> None:
+    def __init__(
+        self,
+        with_variable_tmpl: bool = False,
+        image_detail_config: ImagePromptMessageContent.DETAIL = ImagePromptMessageContent.DETAIL.LOW,
+    ) -> None:
         self.with_variable_tmpl = with_variable_tmpl
+        self.image_detail_config = image_detail_config
 
     def get_prompt(
         self,

api/core/workflow/nodes/code/code_node.py

@@ -49,13 +49,7 @@ class CodeNode(BaseNode[CodeNodeData]):
         for variable_selector in self.node_data.variables:
             variable_name = variable_selector.variable
             variable = self.graph_runtime_state.variable_pool.get(variable_selector.value_selector)
-            if variable is None:
-                return NodeRunResult(
-                    status=WorkflowNodeExecutionStatus.FAILED,
-                    inputs=variables,
-                    error=f"Variable `{variable_selector.value_selector}` not found",
-                )
-            variables[variable_name] = variable.to_object()
+            variables[variable_name] = variable.to_object() if variable else None
         # Run code
         try:
             result = CodeExecutor.execute_workflow_code_template(

api/core/workflow/nodes/http_request/node.py

@@ -13,6 +13,7 @@ from core.workflow.nodes.base import BaseNode
 from core.workflow.nodes.enums import NodeType
 from core.workflow.nodes.http_request.executor import Executor
 from core.workflow.utils import variable_template_parser
+from factories import file_factory
 from models.workflow import WorkflowNodeExecutionStatus
 
 from .entities import (
@@ -161,16 +162,15 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]):
                 mimetype=content_type,
             )
 
-            files.append(
-                File(
-                    tenant_id=self.tenant_id,
-                    type=FileType.IMAGE,
-                    transfer_method=FileTransferMethod.TOOL_FILE,
-                    related_id=tool_file.id,
-                    filename=filename,
-                    extension=extension,
-                    mime_type=content_type,
-                )
+            mapping = {
+                "tool_file_id": tool_file.id,
+                "type": FileType.IMAGE.value,
+                "transfer_method": FileTransferMethod.TOOL_FILE.value,
+            }
+            file = file_factory.build_from_mapping(
+                mapping=mapping,
+                tenant_id=self.tenant_id,
             )
+            files.append(file)
 
         return files

api/core/workflow/nodes/iteration/iteration_node.py

@@ -156,7 +156,7 @@ class IterationNode(BaseNode[IterationNodeData]):
             index=0,
             pre_iteration_output=None,
         )
-        outputs: list[Any] = []
+        outputs: list[Any] = [None] * len(iterator_list_value)
         try:
             if self.node_data.is_parallel:
                 futures: list[Future] = []
@@ -214,6 +214,8 @@ class IterationNode(BaseNode[IterationNodeData]):
                         graph_engine,
                         iteration_graph,
                     )
+            if self.node_data.error_handle_mode == ErrorHandleMode.REMOVE_ABNORMAL_OUTPUT:
+                outputs = [output for output in outputs if output is not None]
             yield IterationRunSucceededEvent(
                 iteration_id=self.id,
                 iteration_node_id=self.node_id,
@@ -425,7 +427,7 @@ class IterationNode(BaseNode[IterationNodeData]):
                             yield NodeInIterationFailedEvent(
                                 **metadata_event.model_dump(),
                             )
-                            outputs.insert(current_index, None)
+                            outputs[current_index] = None
                             variable_pool.add([self.node_id, "index"], next_index)
                             if next_index < len(iterator_list_value):
                                 variable_pool.add([self.node_id, "item"], iterator_list_value[next_index])
@@ -473,7 +475,7 @@ class IterationNode(BaseNode[IterationNodeData]):
                     yield metadata_event
 
             current_iteration_output = variable_pool.get(self.node_data.output_selector).value
-            outputs.insert(current_index, current_iteration_output)
+            outputs[current_index] = current_iteration_output
             # remove all nodes outputs from variable pool
             for node_id in iteration_graph.node_ids:
                 variable_pool.remove([node_id])

api/core/workflow/nodes/list_operator/entities.py

@@ -49,8 +49,14 @@ class Limit(BaseModel):
     size: int = -1
 
 
+class ExtractConfig(BaseModel):
+    enabled: bool = False
+    serial: str = "1"
+
+
 class ListOperatorNodeData(BaseNodeData):
     variable: Sequence[str] = Field(default_factory=list)
     filter_by: FilterBy
     order_by: OrderBy
     limit: Limit
+    extract_by: ExtractConfig

api/core/workflow/nodes/list_operator/node.py

@@ -58,6 +58,10 @@ class ListOperatorNode(BaseNode[ListOperatorNodeData]):
             if self.node_data.filter_by.enabled:
                 variable = self._apply_filter(variable)
 
+            # Extract
+            if self.node_data.extract_by.enabled:
+                variable = self._extract_slice(variable)
+
             # Order
             if self.node_data.order_by.enabled:
                 variable = self._apply_order(variable)
@@ -140,6 +144,16 @@ class ListOperatorNode(BaseNode[ListOperatorNodeData]):
         result = variable.value[: self.node_data.limit.size]
         return variable.model_copy(update={"value": result})
 
+    def _extract_slice(
+        self, variable: Union[ArrayFileSegment, ArrayNumberSegment, ArrayStringSegment]
+    ) -> Union[ArrayFileSegment, ArrayNumberSegment, ArrayStringSegment]:
+        value = int(self.graph_runtime_state.variable_pool.convert_template(self.node_data.extract_by.serial).text) - 1
+        if len(variable.value) > int(value):
+            result = variable.value[value]
+        else:
+            result = ""
+        return variable.model_copy(update={"value": [result]})
+
 
 def _get_file_extract_number_func(*, key: str) -> Callable[[File], int]:
     match key:

api/core/workflow/nodes/template_transform/template_transform_node.py

@@ -34,12 +34,7 @@ class TemplateTransformNode(BaseNode[TemplateTransformNodeData]):
         for variable_selector in self.node_data.variables:
             variable_name = variable_selector.variable
             value = self.graph_runtime_state.variable_pool.get(variable_selector.value_selector)
-            if value is None:
-                return NodeRunResult(
-                    status=WorkflowNodeExecutionStatus.FAILED,
-                    error=f"Variable {variable_name} not found in variable pool",
-                )
-            variables[variable_name] = value.to_object()
+            variables[variable_name] = value.to_object() if value else None
         # Run code
         try:
             result = CodeExecutor.execute_workflow_code_template(

api/core/workflow/nodes/tool/tool_node.py

@@ -21,7 +21,8 @@ from core.workflow.nodes.enums import NodeType
 from core.workflow.nodes.event import RunCompletedEvent, RunStreamChunkEvent
 from core.workflow.utils.variable_template_parser import VariableTemplateParser
 from extensions.ext_database import db
-from models.tools import ToolFile
+from factories import file_factory
+from models import ToolFile
 from models.workflow import WorkflowNodeExecutionStatus
 
 from .entities import ToolNodeData
@@ -192,19 +193,17 @@ class ToolNode(BaseNode[ToolNodeData]):
                     if tool_file is None:
                         raise ToolFileError(f"Tool file {tool_file_id} does not exist")
 
-                files.append(
-                    File(
-                        tenant_id=self.tenant_id,
-                        type=FileType.IMAGE,
-                        transfer_method=transfer_method,
-                        remote_url=url,
-                        related_id=tool_file_id,
-                        filename=filename,
-                        extension=ext,
-                        mime_type=mimetype,
-                        size=tool_file.size,
-                    )
+                mapping = {
+                    "tool_file_id": tool_file_id,
+                    "type": FileType.IMAGE,
+                    "transfer_method": transfer_method,
+                    "url": url,
+                }
+                file = file_factory.build_from_mapping(
+                    mapping=mapping,
+                    tenant_id=self.tenant_id,
                 )
+                files.append(file)
             elif message.type == ToolInvokeMessage.MessageType.BLOB:
                 # get tool file id
                 assert isinstance(message.message, ToolInvokeMessage.TextMessage)

api/core/workflow/workflow_entry.py

@@ -5,10 +5,10 @@ from collections.abc import Generator, Mapping, Sequence
 from typing import Any, Optional, cast
 
 from configs import dify_config
-from core.app.app_config.entities import FileExtraConfig
+from core.app.app_config.entities import FileUploadConfig
 from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.file.models import File, FileTransferMethod, FileType, ImageConfig
+from core.file.models import File, FileTransferMethod, ImageConfig
 from core.workflow.callbacks import WorkflowCallback
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.errors import WorkflowNodeRunFailedError
@@ -22,6 +22,7 @@ from core.workflow.nodes.base import BaseNode, BaseNodeData
 from core.workflow.nodes.event import NodeEvent
 from core.workflow.nodes.llm import LLMNodeData
 from core.workflow.nodes.node_mapping import node_type_classes_mapping
+from factories import file_factory
 from models.enums import UserFrom
 from models.workflow import (
     Workflow,
@@ -372,19 +373,17 @@ class WorkflowEntry:
                     for item in input_value:
                         if isinstance(item, dict) and "type" in item and item["type"] == "image":
                             transfer_method = FileTransferMethod.value_of(item.get("transfer_method"))
-                            file = File(
+                            mapping = {
+                                "id": item.get("id"),
+                                "transfer_method": transfer_method,
+                                "upload_file_id": item.get("upload_file_id"),
+                                "url": item.get("url"),
+                            }
+                            config = FileUploadConfig(image_config=ImageConfig(detail=detail) if detail else None)
+                            file = file_factory.build_from_mapping(
+                                mapping=mapping,
                                 tenant_id=tenant_id,
-                                type=FileType.IMAGE,
-                                transfer_method=transfer_method,
-                                remote_url=item.get("url")
-                                if transfer_method == FileTransferMethod.REMOTE_URL
-                                else None,
-                                related_id=item.get("upload_file_id")
-                                if transfer_method == FileTransferMethod.LOCAL_FILE
-                                else None,
-                                _extra_config=FileExtraConfig(
-                                    image_config=ImageConfig(detail=detail) if detail else None
-                                ),
+                                config=config,
                             )
                             new_value.append(file)
 

api/extensions/ext_celery.py

@@ -1,5 +1,6 @@
 from datetime import timedelta
 
+import pytz
 from celery import Celery, Task
 from celery.schedules import crontab
 from flask import Flask
@@ -43,6 +44,11 @@ def init_app(app: Flask) -> Celery:
         result_backend=dify_config.CELERY_RESULT_BACKEND,
         broker_transport_options=broker_transport_options,
         broker_connection_retry_on_startup=True,
+        worker_log_format=dify_config.LOG_FORMAT,
+        worker_task_log_format=dify_config.LOG_FORMAT,
+        worker_logfile=dify_config.LOG_FILE,
+        worker_hijack_root_logger=False,
+        timezone=pytz.timezone(dify_config.LOG_TZ),
     )
 
     if dify_config.BROKER_USE_SSL:

api/factories/file_factory.py

@@ -1,23 +1,21 @@
 import mimetypes
-from collections.abc import Mapping, Sequence
+from collections.abc import Callable, Mapping, Sequence
 from typing import Any
 
 import httpx
 from sqlalchemy import select
 
-from constants import AUDIO_EXTENSIONS, DOCUMENT_EXTENSIONS, IMAGE_EXTENSIONS, VIDEO_EXTENSIONS
-from core.file import File, FileBelongsTo, FileExtraConfig, FileTransferMethod, FileType
+from core.file import File, FileBelongsTo, FileTransferMethod, FileType, FileUploadConfig
 from core.helper import ssrf_proxy
 from extensions.ext_database import db
 from models import MessageFile, ToolFile, UploadFile
-from models.enums import CreatedByRole
 
 
 def build_from_message_files(
     *,
     message_files: Sequence["MessageFile"],
     tenant_id: str,
-    config: FileExtraConfig,
+    config: FileUploadConfig,
 ) -> Sequence[File]:
     results = [
         build_from_message_file(message_file=file, tenant_id=tenant_id, config=config)
@@ -31,7 +29,7 @@ def build_from_message_file(
     *,
     message_file: "MessageFile",
     tenant_id: str,
-    config: FileExtraConfig,
+    config: FileUploadConfig,
 ):
     mapping = {
         "transfer_method": message_file.transfer_method,
@@ -43,8 +41,6 @@ def build_from_message_file(
     return build_from_mapping(
         mapping=mapping,
         tenant_id=tenant_id,
-        user_id=message_file.created_by,
-        role=CreatedByRole(message_file.created_by_role),
         config=config,
     )
 
@@ -53,38 +49,30 @@ def build_from_mapping(
     *,
     mapping: Mapping[str, Any],
     tenant_id: str,
-    user_id: str,
-    role: "CreatedByRole",
-    config: FileExtraConfig,
-):
+    config: FileUploadConfig | None = None,
+) -> File:
+    config = config or FileUploadConfig()
+
     transfer_method = FileTransferMethod.value_of(mapping.get("transfer_method"))
-    match transfer_method:
-        case FileTransferMethod.REMOTE_URL:
-            file = _build_from_remote_url(
-                mapping=mapping,
-                tenant_id=tenant_id,
-                config=config,
-                transfer_method=transfer_method,
-            )
-        case FileTransferMethod.LOCAL_FILE:
-            file = _build_from_local_file(
-                mapping=mapping,
-                tenant_id=tenant_id,
-                user_id=user_id,
-                role=role,
-                config=config,
-                transfer_method=transfer_method,
-            )
-        case FileTransferMethod.TOOL_FILE:
-            file = _build_from_tool_file(
-                mapping=mapping,
-                tenant_id=tenant_id,
-                user_id=user_id,
-                config=config,
-                transfer_method=transfer_method,
-            )
-        case _:
-            raise ValueError(f"Invalid file transfer method: {transfer_method}")
+
+    build_functions: dict[FileTransferMethod, Callable] = {
+        FileTransferMethod.LOCAL_FILE: _build_from_local_file,
+        FileTransferMethod.REMOTE_URL: _build_from_remote_url,
+        FileTransferMethod.TOOL_FILE: _build_from_tool_file,
+    }
+
+    build_func = build_functions.get(transfer_method)
+    if not build_func:
+        raise ValueError(f"Invalid file transfer method: {transfer_method}")
+
+    file = build_func(
+        mapping=mapping,
+        tenant_id=tenant_id,
+        transfer_method=transfer_method,
+    )
+
+    if not _is_file_valid_with_config(file=file, config=config):
+        raise ValueError(f"File validation failed for file: {file.filename}")
 
     return file
 
@@ -92,10 +80,8 @@ def build_from_mapping(
 def build_from_mappings(
     *,
     mappings: Sequence[Mapping[str, Any]],
-    config: FileExtraConfig | None,
+    config: FileUploadConfig | None,
     tenant_id: str,
-    user_id: str,
-    role: "CreatedByRole",
 ) -> Sequence[File]:
     if not config:
         return []
@@ -104,8 +90,6 @@ def build_from_mappings(
         build_from_mapping(
             mapping=mapping,
             tenant_id=tenant_id,
-            user_id=user_id,
-            role=role,
             config=config,
         )
         for mapping in mappings
@@ -128,31 +112,20 @@ def _build_from_local_file(
     *,
     mapping: Mapping[str, Any],
     tenant_id: str,
-    user_id: str,
-    role: "CreatedByRole",
-    config: FileExtraConfig,
     transfer_method: FileTransferMethod,
-):
-    # check if the upload file exists.
+) -> File:
     file_type = FileType.value_of(mapping.get("type"))
     stmt = select(UploadFile).where(
         UploadFile.id == mapping.get("upload_file_id"),
         UploadFile.tenant_id == tenant_id,
-        UploadFile.created_by == user_id,
-        UploadFile.created_by_role == role,
     )
-    if file_type == FileType.IMAGE:
-        stmt = stmt.where(UploadFile.extension.in_(IMAGE_EXTENSIONS))
-    elif file_type == FileType.VIDEO:
-        stmt = stmt.where(UploadFile.extension.in_(VIDEO_EXTENSIONS))
-    elif file_type == FileType.AUDIO:
-        stmt = stmt.where(UploadFile.extension.in_(AUDIO_EXTENSIONS))
-    elif file_type == FileType.DOCUMENT:
-        stmt = stmt.where(UploadFile.extension.in_(DOCUMENT_EXTENSIONS))
+
     row = db.session.scalar(stmt)
+
     if row is None:
         raise ValueError("Invalid upload file")
-    file = File(
+
+    return File(
         id=mapping.get("id"),
         filename=row.name,
         extension="." + row.extension,
@@ -162,80 +135,72 @@ def _build_from_local_file(
         transfer_method=transfer_method,
         remote_url=row.source_url,
         related_id=mapping.get("upload_file_id"),
-        _extra_config=config,
         size=row.size,
     )
-    return file
 
 
 def _build_from_remote_url(
     *,
     mapping: Mapping[str, Any],
     tenant_id: str,
-    config: FileExtraConfig,
     transfer_method: FileTransferMethod,
-):
+) -> File:
     url = mapping.get("url")
     if not url:
         raise ValueError("Invalid file url")
 
-    mime_type = mimetypes.guess_type(url)[0] or ""
-    file_size = -1
-    filename = url.split("/")[-1].split("?")[0] or "unknown_file"
-
-    resp = ssrf_proxy.head(url, follow_redirects=True)
-    if resp.status_code == httpx.codes.OK:
-        if content_disposition := resp.headers.get("Content-Disposition"):
-            filename = content_disposition.split("filename=")[-1].strip('"')
-        file_size = int(resp.headers.get("Content-Length", file_size))
-        mime_type = mime_type or str(resp.headers.get("Content-Type", ""))
-
-    # Determine file extension
+    mime_type, filename, file_size = _get_remote_file_info(url)
     extension = mimetypes.guess_extension(mime_type) or "." + filename.split(".")[-1] if "." in filename else ".bin"
 
-    if not mime_type:
-        mime_type, _ = mimetypes.guess_type(url)
-    file = File(
+    return File(
         id=mapping.get("id"),
         filename=filename,
         tenant_id=tenant_id,
         type=FileType.value_of(mapping.get("type")),
         transfer_method=transfer_method,
         remote_url=url,
-        _extra_config=config,
         mime_type=mime_type,
         extension=extension,
         size=file_size,
     )
-    return file
+
+
+def _get_remote_file_info(url: str):
+    mime_type = mimetypes.guess_type(url)[0] or ""
+    file_size = -1
+    filename = url.split("/")[-1].split("?")[0] or "unknown_file"
+
+    resp = ssrf_proxy.head(url, follow_redirects=True)
+    if resp.status_code == httpx.codes.OK:
+        if content_disposition := resp.headers.get("Content-Disposition"):
+            filename = str(content_disposition.split("filename=")[-1].strip('"'))
+        file_size = int(resp.headers.get("Content-Length", file_size))
+        mime_type = mime_type or str(resp.headers.get("Content-Type", ""))
+
+    return mime_type, filename, file_size
 
 
 def _build_from_tool_file(
     *,
     mapping: Mapping[str, Any],
     tenant_id: str,
-    user_id: str,
-    config: FileExtraConfig,
     transfer_method: FileTransferMethod,
-):
+) -> File:
     tool_file = (
         db.session.query(ToolFile)
         .filter(
             ToolFile.id == mapping.get("tool_file_id"),
             ToolFile.tenant_id == tenant_id,
-            ToolFile.user_id == user_id,
         )
         .first()
     )
+
     if tool_file is None:
         raise ValueError(f"ToolFile {mapping.get('tool_file_id')} not found")
 
-    path = tool_file.file_key
-    if "." in path:
-        extension = "." + path.split("/")[-1].split(".")[-1]
-    else:
-        extension = ".bin"
-    file = File(
+    extension = "." + tool_file.file_key.split(".")[-1] if "." in tool_file.file_key else ".bin"
+
+    return File(
         id=mapping.get("id"),
         tenant_id=tenant_id,
         filename=tool_file.name,
@@ -246,6 +211,21 @@ def _build_from_tool_file(
         extension=extension,
         mime_type=tool_file.mimetype,
         size=tool_file.size,
-        _extra_config=config,
     )
-    return file
+
+
+def _is_file_valid_with_config(*, file: File, config: FileUploadConfig) -> bool:
+    if config.allowed_file_types and file.type not in config.allowed_file_types and file.type != FileType.CUSTOM:
+        return False
+
+    if config.allowed_extensions and file.extension not in config.allowed_extensions:
+        return False
+
+    if config.allowed_upload_methods and file.transfer_method not in config.allowed_upload_methods:
+        return False
+
+    if file.type == FileType.IMAGE and config.image_config:
+        if config.image_config.transfer_methods and file.transfer_method not in config.image_config.transfer_methods:
+            return False
+
+    return True

api/migrations/versions/2024_10_09_1329-d8e744d88ed6_fix_wrong_service_api_history.py

@@ -23,7 +23,7 @@ v0_9_0_release_date= '2024-09-29 12:00:00'
 def upgrade():
     # ### commands auto generated by Alembic - please adjust! ###
     sql = f"""UPDATE
-    public.messages
+    messages
 SET
     parent_message_id = '{UUID_NIL}'
 WHERE
@@ -37,7 +37,7 @@ WHERE
 def downgrade():
     # ### commands auto generated by Alembic - please adjust! ###
     sql = f"""UPDATE
-    public.messages
+    messages
 SET
     parent_message_id = NULL
 WHERE

api/models/model.py

@@ -18,7 +18,7 @@ from sqlalchemy import Float, Index, PrimaryKeyConstraint, func, text
 from sqlalchemy.orm import Mapped, mapped_column
 
 from configs import dify_config
-from core.file import FILE_MODEL_IDENTITY, File, FileExtraConfig, FileTransferMethod, FileType
+from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod, FileType
 from core.file import helpers as file_helpers
 from core.file.tool_file_parser import ToolFileParser
 from extensions.ext_database import db
@@ -962,9 +962,6 @@ class Message(Base):
                         "type": message_file.type,
                     },
                     tenant_id=current_app.tenant_id,
-                    user_id=self.from_account_id or self.from_end_user_id or "",
-                    role=CreatedByRole(message_file.created_by_role),
-                    config=FileExtraConfig(),
                 )
             elif message_file.transfer_method == "remote_url":
                 if message_file.url is None:
@@ -977,9 +974,6 @@ class Message(Base):
                         "url": message_file.url,
                     },
                     tenant_id=current_app.tenant_id,
-                    user_id=self.from_account_id or self.from_end_user_id or "",
-                    role=CreatedByRole(message_file.created_by_role),
-                    config=FileExtraConfig(),
                 )
             elif message_file.transfer_method == "tool_file":
                 if message_file.upload_file_id is None:
@@ -994,9 +988,6 @@ class Message(Base):
                 file = file_factory.build_from_mapping(
                     mapping=mapping,
                     tenant_id=current_app.tenant_id,
-                    user_id=self.from_account_id or self.from_end_user_id or "",
-                    role=CreatedByRole(message_file.created_by_role),
-                    config=FileExtraConfig(),
                 )
             else:
                 raise ValueError(

api/poetry.lock

@@ -835,13 +835,13 @@ files = [
 
 [[package]]
 name = "blinker"
-version = "1.8.2"
+version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"},
-    {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
+    {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"},
+    {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
 ]
 
 [[package]]
@@ -865,13 +865,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.55"
+version = "1.35.57"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.55-py3-none-any.whl", hash = "sha256:3d54739e498534c9d7a6e9732ae2d17ed29c7d5e29fe36c956d8488b859538b0"},
-    {file = "botocore-1.35.55.tar.gz", hash = "sha256:61ae18f688250372d7b6046e35c86f8fd09a7c0f0064b52688f3490b4d6c9d6b"},
+    {file = "botocore-1.35.57-py3-none-any.whl", hash = "sha256:92ddd02469213766872cb2399269dd20948f90348b42bf08379881d5e946cc34"},
+    {file = "botocore-1.35.57.tar.gz", hash = "sha256:d96306558085baf0bcb3b022d7a8c39c93494f031edb376694d2b2dcd0e81327"},
 ]
 
 [package.dependencies]
@@ -1116,13 +1116,13 @@ files = [
 
 [[package]]
 name = "celery"
-version = "5.3.6"
+version = "5.4.0"
 description = "Distributed Task Queue."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "celery-5.3.6-py3-none-any.whl", hash = "sha256:9da4ea0118d232ce97dff5ed4974587fb1c0ff5c10042eb15278487cdd27d1af"},
-    {file = "celery-5.3.6.tar.gz", hash = "sha256:870cc71d737c0200c397290d730344cc991d13a057534353d124c9380267aab9"},
+    {file = "celery-5.4.0-py3-none-any.whl", hash = "sha256:369631eb580cf8c51a82721ec538684994f8277637edde2dfc0dacd73ed97f64"},
+    {file = "celery-5.4.0.tar.gz", hash = "sha256:504a19140e8d3029d5acad88330c541d4c3f64c789d85f94756762d8bca7e706"},
 ]
 
 [package.dependencies]
@@ -1138,7 +1138,7 @@ vine = ">=5.1.0,<6.0"
 
 [package.extras]
 arangodb = ["pyArango (>=2.0.2)"]
-auth = ["cryptography (==41.0.5)"]
+auth = ["cryptography (==42.0.5)"]
 azureblockblob = ["azure-storage-blob (>=12.15.0)"]
 brotli = ["brotli (>=1.0.0)", "brotlipy (>=0.7.0)"]
 cassandra = ["cassandra-driver (>=3.25.0,<4)"]
@@ -1148,22 +1148,23 @@ couchbase = ["couchbase (>=3.0.0)"]
 couchdb = ["pycouchdb (==1.14.2)"]
 django = ["Django (>=2.2.28)"]
 dynamodb = ["boto3 (>=1.26.143)"]
-elasticsearch = ["elastic-transport (<=8.10.0)", "elasticsearch (<=8.11.0)"]
+elasticsearch = ["elastic-transport (<=8.13.0)", "elasticsearch (<=8.13.0)"]
 eventlet = ["eventlet (>=0.32.0)"]
+gcs = ["google-cloud-storage (>=2.10.0)"]
 gevent = ["gevent (>=1.5.0)"]
 librabbitmq = ["librabbitmq (>=2.0.0)"]
 memcache = ["pylibmc (==1.6.3)"]
 mongodb = ["pymongo[srv] (>=4.0.2)"]
-msgpack = ["msgpack (==1.0.7)"]
-pymemcache = ["python-memcached (==1.59)"]
+msgpack = ["msgpack (==1.0.8)"]
+pymemcache = ["python-memcached (>=1.61)"]
 pyro = ["pyro4 (==4.82)"]
-pytest = ["pytest-celery (==0.0.0)"]
+pytest = ["pytest-celery[all] (>=1.0.0)"]
 redis = ["redis (>=4.5.2,!=4.5.5,<6.0.0)"]
 s3 = ["boto3 (>=1.26.143)"]
 slmq = ["softlayer-messaging (>=1.0.3)"]
 solar = ["ephem (==4.1.5)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
-sqs = ["boto3 (>=1.26.143)", "kombu[sqs] (>=5.3.0)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
+sqs = ["boto3 (>=1.26.143)", "kombu[sqs] (>=5.3.4)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
 tblib = ["tblib (>=1.3.0)", "tblib (>=1.5.0)"]
 yaml = ["PyYAML (>=3.10)"]
 zookeeper = ["kazoo (>=1.3.1)"]
@@ -2036,17 +2037,20 @@ tokenizer = ["tiktoken"]
 
 [[package]]
 name = "dataclass-wizard"
-version = "0.26.0"
+version = "0.27.0"
 description = "Marshal dataclasses to/from JSON. Use field properties with initial values. Construct a dataclass schema with JSON input."
 optional = false
 python-versions = "*"
 files = [
-    {file = "dataclass-wizard-0.26.0.tar.gz", hash = "sha256:227fa229332a2fcbfc1dca4dc5e090b01f313939f78b078a6f1fd3b5687a98a7"},
-    {file = "dataclass_wizard-0.26.0-py2.py3-none-any.whl", hash = "sha256:5e5821b6010f3c19309c889f6b46e6f50b9c4514a46a5bac42f90c8bbf09345f"},
+    {file = "dataclass-wizard-0.27.0.tar.gz", hash = "sha256:6bb5d7101949e8e6c0a3a305ceb9e68b24e231858aad8ed4a83c12414ded1d0d"},
+    {file = "dataclass_wizard-0.27.0-py2.py3-none-any.whl", hash = "sha256:a9ef05297c54823f6d82382123fd675347f6a1d02ee5a1c988a63855208aa6fb"},
 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4", markers = "python_version == \"3.9\" or python_version == \"3.10\""}
+
 [package.extras]
-dev = ["Sphinx (==5.3.0)", "bump2version (==1.0.1)", "coverage (>=6.2)", "dataclass-factory (==2.12)", "dataclasses-json (==0.5.6)", "flake8 (>=3)", "jsons (==1.6.1)", "pip (>=21.3.1)", "pytest (==7.0.1)", "pytest-cov (==3.0.0)", "pytest-mock (>=3.6.1)", "pytimeparse (==1.1.8)", "sphinx-issues (==3.0.1)", "sphinx-issues (==4.0.0)", "tox (==3.24.5)", "twine (==3.8.0)", "watchdog[watchmedo] (==2.1.6)", "wheel (==0.37.1)", "wheel (==0.42.0)"]
+dev = ["Sphinx (==7.4.7)", "Sphinx (==8.1.3)", "bump2version (==1.0.1)", "coverage (>=6.2)", "dataclass-factory (==2.16)", "dataclasses-json (==0.6.7)", "flake8 (>=3)", "jsons (==1.6.3)", "pip (>=21.3.1)", "pytest (==8.3.3)", "pytest-cov (==6.0.0)", "pytest-mock (>=3.6.1)", "pytimeparse (==1.1.8)", "sphinx-issues (==5.0.0)", "tox (==4.23.2)", "twine (==5.1.1)", "watchdog[watchmedo] (==6.0.0)", "wheel (==0.45.0)"]
 timedelta = ["pytimeparse (>=1.1.7)"]
 yaml = ["PyYAML (>=5.3)"]
 
@@ -2275,13 +2279,13 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "6.3.3"
+version = "6.3.4"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "duckduckgo_search-6.3.3-py3-none-any.whl", hash = "sha256:63e5d6b958bd532016bc8a53e8b18717751bf7ef51b1c83e59b9f5780c79e64c"},
-    {file = "duckduckgo_search-6.3.3.tar.gz", hash = "sha256:4d49508f01f85c8675765fdd4cc25eedbb3450e129b35209897fded874f6568f"},
+    {file = "duckduckgo_search-6.3.4-py3-none-any.whl", hash = "sha256:0c18279fb43cbb43e51a251a2133cd0be09604f5a0395fe05409e213bed0cf00"},
+    {file = "duckduckgo_search-6.3.4.tar.gz", hash = "sha256:71317d0dee393cb2c0fb8d2eedc76bba0d8c93c752fe97be0030c39b89fd05f9"},
 ]
 
 [package.dependencies]
@@ -4662,13 +4666,13 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.140"
+version = "0.1.142"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.140-py3-none-any.whl", hash = "sha256:3de70183ae19a4ada4d77a8a9f336ff95ca0ead98215771033ee889a2889fe19"},
-    {file = "langsmith-0.1.140.tar.gz", hash = "sha256:cb0a717d7b9e6d3145285d7ca0ab216e064cbe7a1ca4139fc04af57fb2315e70"},
+    {file = "langsmith-0.1.142-py3-none-any.whl", hash = "sha256:f639ca23c9a0bb77af5fb881679b2f66ff1f21f19d0bebf4e51375e7585a8b38"},
+    {file = "langsmith-0.1.142.tar.gz", hash = "sha256:f8a84d100f3052233ff0a1d66ae14c5dfc20b7e41a1601de011384f16ee6cb82"},
 ]
 
 [package.dependencies]
@@ -6016,13 +6020,13 @@ kerberos = ["requests-kerberos"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.28.0"
+version = "1.28.1"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.28.0-py3-none-any.whl", hash = "sha256:8457cd2c59ea1bd0988560f021656cecd254ad7ef6be4ba09dbefeca2409ce52"},
-    {file = "opentelemetry_api-1.28.0.tar.gz", hash = "sha256:578610bcb8aa5cdcb11169d136cc752958548fb6ccffb0969c1036b0ee9e5353"},
+    {file = "opentelemetry_api-1.28.1-py3-none-any.whl", hash = "sha256:bfe86c95576cf19a914497f439fd79c9553a38de0adbdc26f7cfc46b0c00b16c"},
+    {file = "opentelemetry_api-1.28.1.tar.gz", hash = "sha256:6fa7295a12c707f5aebef82da3d9ec5afe6992f3e42bfe7bec0339a44b3518e7"},
 ]
 
 [package.dependencies]
@@ -6053,59 +6057,59 @@ test = ["pytest-grpc"]
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.49b0"
+version = "0.49b1"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.49b0-py3-none-any.whl", hash = "sha256:68364d73a1ff40894574cbc6138c5f98674790cae1f3b0865e21cf702f24dcb3"},
-    {file = "opentelemetry_instrumentation-0.49b0.tar.gz", hash = "sha256:398a93e0b9dc2d11cc8627e1761665c506fe08c6b2df252a2ab3ade53d751c46"},
+    {file = "opentelemetry_instrumentation-0.49b1-py3-none-any.whl", hash = "sha256:0a9d3821736104013693ef3b8a9d29b41f2f3a81ee2d8c9288b52d62bae5747c"},
+    {file = "opentelemetry_instrumentation-0.49b1.tar.gz", hash = "sha256:2d0e41181b7957ba061bb436b969ad90545ac3eba65f290830009b4264d2824e"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.4,<2.0"
-opentelemetry-semantic-conventions = "0.49b0"
+opentelemetry-semantic-conventions = "0.49b1"
 packaging = ">=18.0"
 wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.49b0"
+version = "0.49b1"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.49b0-py3-none-any.whl", hash = "sha256:722a90856457c81956c88f35a6db606cc7db3231046b708aae2ddde065723dbe"},
-    {file = "opentelemetry_instrumentation_asgi-0.49b0.tar.gz", hash = "sha256:959fd9b1345c92f20c6ef1d42f92ef6a76b3c3083fbc4104d59da6859b15b083"},
+    {file = "opentelemetry_instrumentation_asgi-0.49b1-py3-none-any.whl", hash = "sha256:8dcbc438cb138789fcb20ae38b6e7f23088e066d77b54bae205c5744856603c6"},
+    {file = "opentelemetry_instrumentation_asgi-0.49b1.tar.gz", hash = "sha256:d1a2b4cb76490be28bcad3c0f562c4b3c84157148c922ca298bb04ed9e36c005"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.49b0"
-opentelemetry-semantic-conventions = "0.49b0"
-opentelemetry-util-http = "0.49b0"
+opentelemetry-instrumentation = "0.49b1"
+opentelemetry-semantic-conventions = "0.49b1"
+opentelemetry-util-http = "0.49b1"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.49b0"
+version = "0.49b1"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.49b0-py3-none-any.whl", hash = "sha256:646e1b18523cbe6860ae9711eb2c7b9c85466c3c7697cd6b8fb5180d85d3fe6e"},
-    {file = "opentelemetry_instrumentation_fastapi-0.49b0.tar.gz", hash = "sha256:6d14935c41fd3e49328188b6a59dd4c37bd17a66b01c15b0c64afa9714a1f905"},
+    {file = "opentelemetry_instrumentation_fastapi-0.49b1-py3-none-any.whl", hash = "sha256:3398940102c8ef613b9c55fc4f179cc92413de456f6bec6eeb1995270de2b087"},
+    {file = "opentelemetry_instrumentation_fastapi-0.49b1.tar.gz", hash = "sha256:13d9d4d70b4bb831468b8e40807353731cad7fbfaeedde0070d93bcb2c417b07"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.49b0"
-opentelemetry-instrumentation-asgi = "0.49b0"
-opentelemetry-semantic-conventions = "0.49b0"
-opentelemetry-util-http = "0.49b0"
+opentelemetry-instrumentation = "0.49b1"
+opentelemetry-instrumentation-asgi = "0.49b1"
+opentelemetry-semantic-conventions = "0.49b1"
+opentelemetry-util-http = "0.49b1"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
@@ -6126,44 +6130,44 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.28.0"
+version = "1.28.1"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_sdk-1.28.0-py3-none-any.whl", hash = "sha256:4b37da81d7fad67f6683c4420288c97f4ed0d988845d5886435f428ec4b8429a"},
-    {file = "opentelemetry_sdk-1.28.0.tar.gz", hash = "sha256:41d5420b2e3fb7716ff4981b510d551eff1fc60eb5a95cf7335b31166812a893"},
+    {file = "opentelemetry_sdk-1.28.1-py3-none-any.whl", hash = "sha256:72aad7f5fcbe37113c4ab4899f6cdeb6ac77ed3e62f25a85e3627b12583dad0f"},
+    {file = "opentelemetry_sdk-1.28.1.tar.gz", hash = "sha256:100fa371b2046ffba6a340c18f0b2a0463acad7461e5177e126693b613a6ca57"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.28.0"
-opentelemetry-semantic-conventions = "0.49b0"
+opentelemetry-api = "1.28.1"
+opentelemetry-semantic-conventions = "0.49b1"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.49b0"
+version = "0.49b1"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.49b0-py3-none-any.whl", hash = "sha256:0458117f6ead0b12e3221813e3e511d85698c31901cac84682052adb9c17c7cd"},
-    {file = "opentelemetry_semantic_conventions-0.49b0.tar.gz", hash = "sha256:dbc7b28339e5390b6b28e022835f9bac4e134a80ebf640848306d3c5192557e8"},
+    {file = "opentelemetry_semantic_conventions-0.49b1-py3-none-any.whl", hash = "sha256:dd6f3ac8169d2198c752e1a63f827e5f5e110ae9b0ce33f2aad9a3baf0739743"},
+    {file = "opentelemetry_semantic_conventions-0.49b1.tar.gz", hash = "sha256:91817883b159ffb94c2ca9548509c4fe0aafce7c24f437aa6ac3fc613aa9a758"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-opentelemetry-api = "1.28.0"
+opentelemetry-api = "1.28.1"
 
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.49b0"
+version = "0.49b1"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.49b0-py3-none-any.whl", hash = "sha256:8661bbd6aea1839badc44de067ec9c15c05eab05f729f496c856c50a1203caf1"},
-    {file = "opentelemetry_util_http-0.49b0.tar.gz", hash = "sha256:02928496afcffd58a7c15baf99d2cedae9b8325a8ac52b0d0877b2e8f936dd1b"},
+    {file = "opentelemetry_util_http-0.49b1-py3-none-any.whl", hash = "sha256:0290b942f7888b6310df6803e52e12f4043b8f224db0659f62dc7b70059eb94f"},
+    {file = "opentelemetry_util_http-0.49b1.tar.gz", hash = "sha256:6c2bc6f7e20e286dbdfcccb9d895fa290ec9d7c596cdf2e06bf1d8e434b2edd0"},
 ]
 
 [[package]]
@@ -6307,13 +6311,13 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
-    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
+    {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
+    {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
 ]
 
 [[package]]
@@ -7319,13 +7323,13 @@ rsa = ["cryptography"]
 
 [[package]]
 name = "pyobvector"
-version = "0.1.8"
+version = "0.1.10"
 description = "A python SDK for OceanBase Vector Store, based on SQLAlchemy, compatible with Milvus API."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "pyobvector-0.1.8-py3-none-any.whl", hash = "sha256:d44c88df3930ea0f888dc1580d575e2434b17c9c5183f57d1da6fdfa43c6c252"},
-    {file = "pyobvector-0.1.8.tar.gz", hash = "sha256:78ab9b4d2e5d9903bb5f2dc7d356f5439eb1a8620d25335fad9f897921b75e2e"},
+    {file = "pyobvector-0.1.10-py3-none-any.whl", hash = "sha256:7ef0d20c640a948c7fe64f2f3bd4defda395e65c617152643340ed440056238c"},
+    {file = "pyobvector-0.1.10.tar.gz", hash = "sha256:30a7ad42ff8be0bf0c37a33d1acfb8b948e7f9b6ac3d482b85f9761c41af9bfb"},
 ]
 
 [package.dependencies]
@@ -9309,13 +9313,13 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tencentcloud-sdk-python-common"
-version = "3.0.1261"
+version = "3.0.1263"
 description = "Tencent Cloud Common SDK for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "tencentcloud-sdk-python-common-3.0.1261.tar.gz", hash = "sha256:e34bd23f9b05f3da9b88263cad6f7d95a30e9a9d827924a848d10841171e6cbc"},
-    {file = "tencentcloud_sdk_python_common-3.0.1261-py2.py3-none-any.whl", hash = "sha256:c13cf1524abc550a2f2fb996bb7b426d428f2e1a0fa5d81ab321eae07ca5c680"},
+    {file = "tencentcloud-sdk-python-common-3.0.1263.tar.gz", hash = "sha256:3091024ece07982ec4829c661bc90474d2b9c5543965717f7136b9f66b201c34"},
+    {file = "tencentcloud_sdk_python_common-3.0.1263-py2.py3-none-any.whl", hash = "sha256:812cdc2d183d455472f8fee88d699acb869a8d8497cd09cd6d83596a98a8e6d7"},
 ]
 
 [package.dependencies]
@@ -9323,17 +9327,17 @@ requests = ">=2.16.0"
 
 [[package]]
 name = "tencentcloud-sdk-python-hunyuan"
-version = "3.0.1261"
+version = "3.0.1263"
 description = "Tencent Cloud Hunyuan SDK for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "tencentcloud-sdk-python-hunyuan-3.0.1261.tar.gz", hash = "sha256:da9bef80d5491dab6b7ba3d7615d6597e546361cf8650a1a12db22472379ba19"},
-    {file = "tencentcloud_sdk_python_hunyuan-3.0.1261-py2.py3-none-any.whl", hash = "sha256:b925dac1d7cd98f475462f3e07131a7d5091cb8a5cdfff90e2b0720c5e02c189"},
+    {file = "tencentcloud-sdk-python-hunyuan-3.0.1263.tar.gz", hash = "sha256:4e9c0120ca7eca48983afec7ff6a04a4bd75c347070f942a7edd378c5f9b2767"},
+    {file = "tencentcloud_sdk_python_hunyuan-3.0.1263-py2.py3-none-any.whl", hash = "sha256:37446ef71d50a91dfe06d7c1704b1841aab079da29dc91099d2b793779e18dc2"},
 ]
 
 [package.dependencies]
-tencentcloud-sdk-python-common = "3.0.1261"
+tencentcloud-sdk-python-common = "3.0.1263"
 
 [[package]]
 name = "termcolor"
@@ -9729,13 +9733,13 @@ requests = ">=2.0.0"
 
 [[package]]
 name = "typer"
-version = "0.12.5"
+version = "0.13.0"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "typer-0.12.5-py3-none-any.whl", hash = "sha256:62fe4e471711b147e3365034133904df3e235698399bc4de2b36c8579298d52b"},
-    {file = "typer-0.12.5.tar.gz", hash = "sha256:f592f089bedcc8ec1b974125d64851029c3b1af145f04aca64d69410f0c9b722"},
+    {file = "typer-0.13.0-py3-none-any.whl", hash = "sha256:d85fe0b777b2517cc99c8055ed735452f2659cd45e451507c76f48ce5c1d00e2"},
+    {file = "typer-0.13.0.tar.gz", hash = "sha256:f1c7198347939361eec90139ffa0fd8b3df3a2259d5852a0f7400e476d95985c"},
 ]
 
 [package.dependencies]
@@ -9884,13 +9888,13 @@ files = [
 
 [[package]]
 name = "unstructured"
-version = "0.16.4"
+version = "0.16.5"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
 python-versions = "<3.13,>=3.9.0"
 files = [
-    {file = "unstructured-0.16.4-py3-none-any.whl", hash = "sha256:300e4a9e630c6d55484a62e90df23075e5abd04f17bf15043898bc0eff6c4070"},
-    {file = "unstructured-0.16.4.tar.gz", hash = "sha256:da05433db186f8251fc0b1b1b273f584ca2a71363d541ec1ab82ef55dc49055d"},
+    {file = "unstructured-0.16.5-py3-none-any.whl", hash = "sha256:d867e6d5c002c159997bb44df82c43531570c32fa87a010a0aae8a7a0e22ec49"},
+    {file = "unstructured-0.16.5.tar.gz", hash = "sha256:2c36de777f88529e0f7c306eb8116b755963928d50d331bbfee56e2f61fe023f"},
 ]
 
 [package.dependencies]
@@ -10744,13 +10748,13 @@ multidict = ">=4.0"
 
 [[package]]
 name = "yfinance"
-version = "0.2.48"
+version = "0.2.49"
 description = "Download market data from Yahoo! Finance API"
 optional = false
 python-versions = "*"
 files = [
-    {file = "yfinance-0.2.48-py2.py3-none-any.whl", hash = "sha256:eda797145faa4536595eb629f869d3616e58ed7e71de36856b19f1abaef71a5b"},
-    {file = "yfinance-0.2.48.tar.gz", hash = "sha256:1434cd8bf22f345fa27ef1ed82bfdd291c1bb5b6fe3067118a94e256aa90c4eb"},
+    {file = "yfinance-0.2.49-py2.py3-none-any.whl", hash = "sha256:cc9c7d09826e7eaee96d179395e814b911e083fbfb325c2fe693cae019b47f38"},
+    {file = "yfinance-0.2.49.tar.gz", hash = "sha256:e6b45f8392feb11360450630f86f96a46dfa708d77c334d5376564a9eead952b"},
 ]
 
 [package.dependencies]
@@ -10790,13 +10794,13 @@ pyjwt = ">=2.8.0,<2.9.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.2"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
@@ -10994,4 +10998,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "bb8385625eb61de086b7a7156745066b4fb171d9ca67afd1d092fa7e872f3abd"
+content-hash = "f20bd678044926913dbbc24bd0cf22503a75817aa55f59457ff7822032139b77"

api/pyproject.toml

@@ -118,7 +118,7 @@ beautifulsoup4 = "4.12.2"
 boto3 = "1.35.17"
 bs4 = "~0.0.1"
 cachetools = "~5.3.0"
-celery = "~5.3.6"
+celery = "~5.4.0"
 chardet = "~5.1.0"
 cohere = "~5.2.4"
 dashscope = { version = "~1.17.0", extras = ["tokenizer"] }

api/schedule/create_tidb_serverless_task.py

@@ -12,6 +12,8 @@ from models.dataset import TidbAuthBinding
 @app.celery.task(queue="dataset")
 def create_tidb_serverless_task():
     click.echo(click.style("Start create tidb serverless task.", fg="green"))
+    if not dify_config.CREATE_TIDB_SERVICE_JOB_ENABLED:
+        return
     tidb_serverless_number = dify_config.TIDB_SERVERLESS_NUMBER
     start_at = time.perf_counter()
     while True:

api/services/dataset_service.py

@@ -14,8 +14,6 @@ from configs import dify_config
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
-from core.rag.datasource.keyword.keyword_factory import Keyword
-from core.rag.models.document import Document as RAGDocument
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
 from events.dataset_event import dataset_was_deleted
 from events.document_event import document_was_deleted
@@ -37,6 +35,7 @@ from models.dataset import (
 )
 from models.model import UploadFile
 from models.source import DataSourceOauthBinding
+from services.entities.knowledge_entities.knowledge_entities import SegmentUpdateEntity
 from services.errors.account import NoPermissionError
 from services.errors.dataset import DatasetNameDuplicateError
 from services.errors.document import DocumentIndexingError
@@ -1415,9 +1414,13 @@ class SegmentService:
                 created_by=current_user.id,
             )
             if document.doc_form == "qa_model":
+                segment_document.word_count += len(args["answer"])
                 segment_document.answer = args["answer"]
 
             db.session.add(segment_document)
+            # update document word count
+            document.word_count += segment_document.word_count
+            db.session.add(document)
             db.session.commit()
 
             # save vector index
@@ -1436,6 +1439,7 @@ class SegmentService:
     @classmethod
     def multi_create_segment(cls, segments: list, document: Document, dataset: Dataset):
         lock_name = "multi_add_segment_lock_document_id_{}".format(document.id)
+        increment_word_count = 0
         with redis_client.lock(lock_name, timeout=600):
             embedding_model = None
             if dataset.indexing_technique == "high_quality":
@@ -1461,7 +1465,10 @@ class SegmentService:
                 tokens = 0
                 if dataset.indexing_technique == "high_quality" and embedding_model:
                     # calc embedding use tokens
-                    tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])
+                    if document.doc_form == "qa_model":
+                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment_item["answer"]])
+                    else:
+                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])
                 segment_document = DocumentSegment(
                     tenant_id=current_user.current_tenant_id,
                     dataset_id=document.dataset_id,
@@ -1479,6 +1486,8 @@ class SegmentService:
                 )
                 if document.doc_form == "qa_model":
                     segment_document.answer = segment_item["answer"]
+                    segment_document.word_count += len(segment_item["answer"])
+                increment_word_count += segment_document.word_count
                 db.session.add(segment_document)
                 segment_data_list.append(segment_document)
 
@@ -1487,7 +1496,9 @@ class SegmentService:
                     keywords_list.append(segment_item["keywords"])
                 else:
                     keywords_list.append(None)
-
+            # update document word count
+            document.word_count += increment_word_count
+            db.session.add(document)
             try:
                 # save vector index
                 VectorService.create_segments_vector(keywords_list, pre_segment_data_list, dataset)
@@ -1503,12 +1514,13 @@ class SegmentService:
 
     @classmethod
     def update_segment(cls, args: dict, segment: DocumentSegment, document: Document, dataset: Dataset):
+        segment_update_entity = SegmentUpdateEntity(**args)
         indexing_cache_key = "segment_{}_indexing".format(segment.id)
         cache_result = redis_client.get(indexing_cache_key)
         if cache_result is not None:
             raise ValueError("Segment is indexing, please try again later")
-        if "enabled" in args and args["enabled"] is not None:
-            action = args["enabled"]
+        if segment_update_entity.enabled is not None:
+            action = segment_update_entity.enabled
             if segment.enabled != action:
                 if not action:
                     segment.enabled = action
@@ -1521,37 +1533,34 @@ class SegmentService:
                     disable_segment_from_index_task.delay(segment.id)
                     return segment
         if not segment.enabled:
-            if "enabled" in args and args["enabled"] is not None:
-                if not args["enabled"]:
+            if segment_update_entity.enabled is not None:
+                if not segment_update_entity.enabled:
                     raise ValueError("Can't update disabled segment")
             else:
                 raise ValueError("Can't update disabled segment")
         try:
-            content = args["content"]
+            word_count_change = segment.word_count
+            content = segment_update_entity.content
             if segment.content == content:
+                segment.word_count = len(content)
                 if document.doc_form == "qa_model":
-                    segment.answer = args["answer"]
-                if args.get("keywords"):
-                    segment.keywords = args["keywords"]
+                    segment.answer = segment_update_entity.answer
+                    segment.word_count += len(segment_update_entity.answer)
+                word_count_change = segment.word_count - word_count_change
+                if segment_update_entity.keywords:
+                    segment.keywords = segment_update_entity.keywords
                 segment.enabled = True
                 segment.disabled_at = None
                 segment.disabled_by = None
                 db.session.add(segment)
                 db.session.commit()
+                # update document word count
+                if word_count_change != 0:
+                    document.word_count = max(0, document.word_count + word_count_change)
+                    db.session.add(document)
                 # update segment index task
-                if "keywords" in args:
-                    keyword = Keyword(dataset)
-                    keyword.delete_by_ids([segment.index_node_id])
-                    document = RAGDocument(
-                        page_content=segment.content,
-                        metadata={
-                            "doc_id": segment.index_node_id,
-                            "doc_hash": segment.index_node_hash,
-                            "document_id": segment.document_id,
-                            "dataset_id": segment.dataset_id,
-                        },
-                    )
-                    keyword.add_texts([document], keywords_list=[args["keywords"]])
+                if segment_update_entity.enabled:
+                    VectorService.create_segments_vector([segment_update_entity.keywords], [segment], dataset)
             else:
                 segment_hash = helper.generate_text_hash(content)
                 tokens = 0
@@ -1565,7 +1574,10 @@ class SegmentService:
                     )
 
                     # calc embedding use tokens
-                    tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])
+                    if document.doc_form == "qa_model":
+                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment.answer])
+                    else:
+                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])
                 segment.content = content
                 segment.index_node_hash = segment_hash
                 segment.word_count = len(content)
@@ -1579,11 +1591,17 @@ class SegmentService:
                 segment.disabled_at = None
                 segment.disabled_by = None
                 if document.doc_form == "qa_model":
-                    segment.answer = args["answer"]
+                    segment.answer = segment_update_entity.answer
+                    segment.word_count += len(segment_update_entity.answer)
+                word_count_change = segment.word_count - word_count_change
+                # update document word count
+                if word_count_change != 0:
+                    document.word_count = max(0, document.word_count + word_count_change)
+                    db.session.add(document)
                 db.session.add(segment)
                 db.session.commit()
                 # update segment vector index
-                VectorService.update_segment_vector(args["keywords"], segment, dataset)
+                VectorService.update_segment_vector(segment_update_entity.keywords, segment, dataset)
 
         except Exception as e:
             logging.exception("update segment index failed")
@@ -1608,6 +1626,9 @@ class SegmentService:
             redis_client.setex(indexing_cache_key, 600, 1)
             delete_segment_from_index_task.delay(segment.id, segment.index_node_id, dataset.id, document.id)
         db.session.delete(segment)
+        # update document word count
+        document.word_count -= segment.word_count
+        db.session.add(document)
         db.session.commit()
 
 

api/services/entities/knowledge_entities/knowledge_entities.py

@@ -0,0 +1,10 @@
+from typing import Optional
+
+from pydantic import BaseModel
+
+
+class SegmentUpdateEntity(BaseModel):
+    content: str
+    answer: Optional[str] = None
+    keywords: Optional[list[str]] = None
+    enabled: Optional[bool] = None

api/services/workflow/workflow_converter.py

@@ -13,7 +13,7 @@ from core.app.app_config.entities import (
 from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfigManager
 from core.app.apps.chat.app_config_manager import ChatAppConfigManager
 from core.app.apps.completion.app_config_manager import CompletionAppConfigManager
-from core.file.models import FileExtraConfig
+from core.file.models import FileUploadConfig
 from core.helper import encrypter
 from core.model_runtime.entities.llm_entities import LLMMode
 from core.model_runtime.utils.encoders import jsonable_encoder
@@ -381,7 +381,7 @@ class WorkflowConverter:
         graph: dict,
         model_config: ModelConfigEntity,
         prompt_template: PromptTemplateEntity,
-        file_upload: Optional[FileExtraConfig] = None,
+        file_upload: Optional[FileUploadConfig] = None,
         external_data_variable_node_mapping: dict[str, str] | None = None,
     ) -> dict:
         """

api/tasks/batch_create_segment_to_index_task.py

@@ -57,7 +57,7 @@ def batch_create_segment_to_index_task(
                 model_type=ModelType.TEXT_EMBEDDING,
                 model=dataset.embedding_model,
             )
-
+        word_count_change = 0
         for segment in content:
             content = segment["content"]
             doc_id = str(uuid.uuid4())
@@ -86,8 +86,13 @@ def batch_create_segment_to_index_task(
             )
             if dataset_document.doc_form == "qa_model":
                 segment_document.answer = segment["answer"]
+                segment_document.word_count += len(segment["answer"])
+            word_count_change += segment_document.word_count
             db.session.add(segment_document)
             document_segments.append(segment_document)
+        # update document word count
+        dataset_document.word_count += word_count_change
+        db.session.add(dataset_document)
         # add index to db
         indexing_runner = IndexingRunner()
         indexing_runner.batch_add_segments(document_segments, dataset)

api/tasks/ops_trace_task.py

@@ -1,17 +1,20 @@
+import json
 import logging
-import time
 
 from celery import shared_task
 from flask import current_app
 
+from core.ops.entities.config_entity import OPS_FILE_PATH, OPS_TRACE_FAILED_KEY
 from core.ops.entities.trace_entity import trace_info_info_map
 from core.rag.models.document import Document
+from extensions.ext_redis import redis_client
+from extensions.ext_storage import storage
 from models.model import Message
 from models.workflow import WorkflowRun
 
 
 @shared_task(queue="ops_trace")
-def process_trace_tasks(tasks_data):
+def process_trace_tasks(file_info):
     """
     Async process trace tasks
     :param tasks_data: List of dictionaries containing task data
@@ -20,9 +23,12 @@ def process_trace_tasks(tasks_data):
     """
     from core.ops.ops_trace_manager import OpsTraceManager
 
-    trace_info = tasks_data.get("trace_info")
-    app_id = tasks_data.get("app_id")
-    trace_info_type = tasks_data.get("trace_info_type")
+    app_id = file_info.get("app_id")
+    file_id = file_info.get("file_id")
+    file_path = f"{OPS_FILE_PATH}{app_id}/{file_id}.json"
+    file_data = json.loads(storage.load(file_path))
+    trace_info = file_data.get("trace_info")
+    trace_info_type = file_data.get("trace_info_type")
     trace_instance = OpsTraceManager.get_ops_trace_instance(app_id)
 
     if trace_info.get("message_data"):
@@ -39,6 +45,10 @@ def process_trace_tasks(tasks_data):
                 if trace_type:
                     trace_info = trace_type(**trace_info)
                 trace_instance.trace(trace_info)
-            end_at = time.perf_counter()
+        logging.info(f"Processing trace tasks success, app_id: {app_id}")
     except Exception:
-        logging.exception("Processing trace tasks failed")
+        failed_key = f"{OPS_TRACE_FAILED_KEY}_{app_id}"
+        redis_client.incr(failed_key)
+        logging.info(f"Processing trace tasks failed, app_id: {app_id}")
+    finally:
+        storage.delete(file_path)

api/tests/integration_tests/workflow/nodes/test_http.py

@@ -430,37 +430,3 @@ def test_multi_colons_parse(setup_http_mock):
     assert urlencode({"Redirect": "http://example2.com"}) in result.process_data.get("request", "")
     assert 'form-data; name="Redirect"\r\n\r\nhttp://example6.com' in result.process_data.get("request", "")
     # assert "http://example3.com" == resp.get("headers", {}).get("referer")
-
-
-def test_image_file(monkeypatch):
-    from types import SimpleNamespace
-
-    monkeypatch.setattr(
-        "core.tools.tool_file_manager.ToolFileManager.create_file_by_raw",
-        lambda *args, **kwargs: SimpleNamespace(id="1"),
-    )
-
-    node = init_http_node(
-        config={
-            "id": "1",
-            "data": {
-                "title": "http",
-                "desc": "",
-                "method": "get",
-                "url": "https://cloud.dify.ai/logo/logo-site.png",
-                "authorization": {
-                    "type": "no-auth",
-                    "config": None,
-                },
-                "params": "",
-                "headers": "",
-                "body": None,
-            },
-        }
-    )
-
-    result = node._run()
-    assert result.process_data is not None
-    assert result.outputs is not None
-    resp = result.outputs
-    assert len(resp.get("files", [])) == 1

api/tests/unit_tests/core/app/app_config/features/file_upload/test_manager.py

@@ -0,0 +1,61 @@
+from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
+from core.file.models import FileTransferMethod, FileUploadConfig, ImageConfig
+from core.model_runtime.entities.message_entities import ImagePromptMessageContent
+
+
+def test_convert_with_vision():
+    config = {
+        "file_upload": {
+            "enabled": True,
+            "number_limits": 5,
+            "allowed_file_upload_methods": [FileTransferMethod.REMOTE_URL],
+            "image": {"detail": "high"},
+        }
+    }
+    result = FileUploadConfigManager.convert(config, is_vision=True)
+    expected = FileUploadConfig(
+        image_config=ImageConfig(
+            number_limits=5,
+            transfer_methods=[FileTransferMethod.REMOTE_URL],
+            detail=ImagePromptMessageContent.DETAIL.HIGH,
+        )
+    )
+    assert result == expected
+
+
+def test_convert_without_vision():
+    config = {
+        "file_upload": {
+            "enabled": True,
+            "number_limits": 5,
+            "allowed_file_upload_methods": [FileTransferMethod.REMOTE_URL],
+        }
+    }
+    result = FileUploadConfigManager.convert(config, is_vision=False)
+    expected = FileUploadConfig(
+        image_config=ImageConfig(number_limits=5, transfer_methods=[FileTransferMethod.REMOTE_URL])
+    )
+    assert result == expected
+
+
+def test_validate_and_set_defaults():
+    config = {}
+    result, keys = FileUploadConfigManager.validate_and_set_defaults(config)
+    assert "file_upload" in result
+    assert keys == ["file_upload"]
+
+
+def test_validate_and_set_defaults_with_existing_config():
+    config = {
+        "file_upload": {
+            "enabled": True,
+            "number_limits": 5,
+            "allowed_file_upload_methods": [FileTransferMethod.REMOTE_URL],
+        }
+    }
+    result, keys = FileUploadConfigManager.validate_and_set_defaults(config)
+    assert "file_upload" in result
+    assert keys == ["file_upload"]
+    assert result["file_upload"]["enabled"] is True
+    assert result["file_upload"]["number_limits"] == 5
+    assert result["file_upload"]["allowed_file_upload_methods"] == [FileTransferMethod.REMOTE_URL]

api/tests/unit_tests/core/prompt/test_advanced_prompt_transform.py

@@ -3,7 +3,7 @@ from unittest.mock import MagicMock, patch
 import pytest
 
 from core.app.app_config.entities import ModelConfigEntity
-from core.file import File, FileExtraConfig, FileTransferMethod, FileType, ImageConfig
+from core.file import File, FileTransferMethod, FileType, FileUploadConfig, ImageConfig
 from core.memory.token_buffer_memory import TokenBufferMemory
 from core.model_runtime.entities.message_entities import (
     AssistantPromptMessage,
@@ -134,7 +134,6 @@ def test__get_chat_model_prompt_messages_with_files_no_memory(get_chat_model_arg
             type=FileType.IMAGE,
             transfer_method=FileTransferMethod.REMOTE_URL,
             remote_url="https://example.com/image1.jpg",
-            _extra_config=FileExtraConfig(image_config=ImageConfig(detail=ImagePromptMessageContent.DETAIL.HIGH)),
         )
     ]
 

api/tests/unit_tests/core/workflow/nodes/test_list_operator.py

@@ -4,7 +4,14 @@ import pytest
 
 from core.file import File, FileTransferMethod, FileType
 from core.variables import ArrayFileSegment
-from core.workflow.nodes.list_operator.entities import FilterBy, FilterCondition, Limit, ListOperatorNodeData, OrderBy
+from core.workflow.nodes.list_operator.entities import (
+    ExtractConfig,
+    FilterBy,
+    FilterCondition,
+    Limit,
+    ListOperatorNodeData,
+    OrderBy,
+)
 from core.workflow.nodes.list_operator.exc import InvalidKeyError
 from core.workflow.nodes.list_operator.node import ListOperatorNode, _get_file_extract_string_func
 from models.workflow import WorkflowNodeExecutionStatus
@@ -22,6 +29,7 @@ def list_operator_node():
         ),
         "order_by": OrderBy(enabled=False, value="asc"),
         "limit": Limit(enabled=False, size=0),
+        "extract_by": ExtractConfig(enabled=False, serial="1"),
         "title": "Test Title",
     }
     node_data = ListOperatorNodeData(**config)

docker-legacy/docker-compose.yaml

@@ -384,6 +384,7 @@ services:
       NOTION_INTERNAL_SECRET: you-internal-secret
       # Indexing configuration
       INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
+      CREATE_TIDB_SERVICE_JOB_ENABLED: false
     depends_on:
       - db
       - redis

docker/.env.example

@@ -54,6 +54,10 @@ LOG_FILE=
 LOG_FILE_MAX_SIZE=20
 # Log file max backup count
 LOG_FILE_BACKUP_COUNT=5
+# Log dateformat
+LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
+# Log Timezone
+LOG_TZ=UTC
 
 # Debug mode, default is false.
 # It is recommended to turn on this configuration for local development
@@ -583,12 +587,13 @@ CODE_GENERATION_MAX_TOKENS=1024
 # Multi-modal Configuration
 # ------------------------------
 
-# The format of the image sent when the multi-modal model is input,
+# The format of the image/video sent when the multi-modal model is input,
 # the default is base64, optional url.
 # The delay of the call in url mode will be lower than that in base64 mode.
 # It is generally recommended to use the more compatible base64 mode.
-# If configured as url, you need to configure FILES_URL as an externally accessible address so that the multi-modal model can access the image.
+# If configured as url, you need to configure FILES_URL as an externally accessible address so that the multi-modal model can access the image/video.
 MULTIMODAL_SEND_IMAGE_FORMAT=base64
+MULTIMODAL_SEND_VIDEO_FORMAT=base64
 
 # Upload image file size limit, default 10M.
 UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
@@ -906,3 +911,6 @@ POSITION_PROVIDER_EXCLUDES=
 
 # CSP https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP
 CSP_WHITELIST=
+
+# Enable or disable create tidb service job
+CREATE_TIDB_SERVICE_JOB_ENABLED=false

docker/docker-compose.yaml

@@ -4,6 +4,10 @@ x-shared-env: &shared-api-worker-env
   LOG_FILE: ${LOG_FILE:-}
   LOG_FILE_MAX_SIZE: ${LOG_FILE_MAX_SIZE:-20}
   LOG_FILE_BACKUP_COUNT: ${LOG_FILE_BACKUP_COUNT:-5}
+  # Log dateformat
+  LOG_DATEFORMAT: ${LOG_DATEFORMAT:-%Y-%m-%d %H:%M:%S}
+  # Log Timezone
+  LOG_TZ: ${LOG_TZ:-UTC}
   DEBUG: ${DEBUG:-false}
   FLASK_DEBUG: ${FLASK_DEBUG:-false}
   SECRET_KEY: ${SECRET_KEY:-sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U}
@@ -214,6 +218,7 @@ x-shared-env: &shared-api-worker-env
   PROMPT_GENERATION_MAX_TOKENS: ${PROMPT_GENERATION_MAX_TOKENS:-512}
   CODE_GENERATION_MAX_TOKENS: ${CODE_GENERATION_MAX_TOKENS:-1024}
   MULTIMODAL_SEND_IMAGE_FORMAT: ${MULTIMODAL_SEND_IMAGE_FORMAT:-base64}
+  MULTIMODAL_SEND_VIDEO_FORMAT: ${MULTIMODAL_SEND_VIDEO_FORMAT:-base64}
   UPLOAD_IMAGE_FILE_SIZE_LIMIT: ${UPLOAD_IMAGE_FILE_SIZE_LIMIT:-10}
   UPLOAD_VIDEO_FILE_SIZE_LIMIT: ${UPLOAD_VIDEO_FILE_SIZE_LIMIT:-100}
   UPLOAD_AUDIO_FILE_SIZE_LIMIT: ${UPLOAD_AUDIO_FILE_SIZE_LIMIT:-50}
@@ -270,6 +275,7 @@ x-shared-env: &shared-api-worker-env
   OCEANBASE_VECTOR_DATABASE: ${OCEANBASE_VECTOR_DATABASE:-test}
   OCEANBASE_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai}
   OCEANBASE_MEMORY_LIMIT: ${OCEANBASE_MEMORY_LIMIT:-6G}
+  CREATE_TIDB_SERVICE_JOB_ENABLED: ${CREATE_TIDB_SERVICE_JOB_ENABLED:-false}
 
 services:
   # API service

web/app/components/base/markdown-blocks/form.tsx

@@ -1,3 +1,4 @@
+import React, { useEffect, useState } from 'react'
 import Button from '@/app/components/base/button'
 import Input from '@/app/components/base/input'
 import Textarea from '@/app/components/base/textarea'
@@ -32,20 +33,31 @@ const MarkdownForm = ({ node }: any) => {
   //   </form>
   const { onSend } = useChatContext()
 
+  const [formValues, setFormValues] = useState<{ [key: string]: any }>({})
+
+  useEffect(() => {
+    const initialValues: { [key: string]: any } = {}
+    node.children.forEach((child: any) => {
+      if ([SUPPORTED_TAGS.INPUT, SUPPORTED_TAGS.TEXTAREA].includes(child.tagName))
+        initialValues[child.properties.name] = child.properties.value
+    })
+    setFormValues(initialValues)
+  }, [node.children])
+
   const getFormValues = (children: any) => {
-    const formValues: { [key: string]: any } = {}
+    const values: { [key: string]: any } = {}
     children.forEach((child: any) => {
-      if (child.tagName === SUPPORTED_TAGS.INPUT)
-        formValues[child.properties.name] = child.properties.value
-      if (child.tagName === SUPPORTED_TAGS.TEXTAREA)
-        formValues[child.properties.name] = child.properties.value
+      if ([SUPPORTED_TAGS.INPUT, SUPPORTED_TAGS.TEXTAREA].includes(child.tagName))
+        values[child.properties.name] = formValues[child.properties.name]
     })
-    return formValues
+    return values
   }
+
   const onSubmit = (e: any) => {
     e.preventDefault()
     const format = node.properties.dataFormat || DATA_FORMAT.TEXT
     const result = getFormValues(node.children)
+
     if (format === DATA_FORMAT.JSON) {
       onSend?.(JSON.stringify(result))
     }
@@ -77,25 +89,22 @@ const MarkdownForm = ({ node }: any) => {
             </label>
           )
         }
-        if (child.tagName === SUPPORTED_TAGS.INPUT) {
-          if (Object.values(SUPPORTED_TYPES).includes(child.properties.type)) {
-            return (
-              <Input
-                key={index}
-                type={child.properties.type}
-                name={child.properties.name}
-                placeholder={child.properties.placeholder}
-                value={child.properties.value}
-                onChange={(e) => {
-                  e.preventDefault()
-                  child.properties.value = e.target.value
-                }}
-              />
-            )
-          }
-          else {
-            return <p key={index}>Unsupported input type: {child.properties.type}</p>
-          }
+        if (child.tagName === SUPPORTED_TAGS.INPUT && Object.values(SUPPORTED_TYPES).includes(child.properties.type)) {
+          return (
+            <Input
+              key={index}
+              type={child.properties.type}
+              name={child.properties.name}
+              placeholder={child.properties.placeholder}
+              value={formValues[child.properties.name]}
+              onChange={(e) => {
+                setFormValues(prevValues => ({
+                  ...prevValues,
+                  [child.properties.name]: e.target.value,
+                }))
+              }}
+            />
+          )
         }
         if (child.tagName === SUPPORTED_TAGS.TEXTAREA) {
           return (
@@ -103,10 +112,12 @@ const MarkdownForm = ({ node }: any) => {
               key={index}
               name={child.properties.name}
               placeholder={child.properties.placeholder}
-              value={child.properties.value}
+              value={formValues[child.properties.name]}
               onChange={(e) => {
-                e.preventDefault()
-                child.properties.value = e.target.value
+                setFormValues(prevValues => ({
+                  ...prevValues,
+                  [child.properties.name]: e.target.value,
+                }))
               }}
             />
           )

web/app/components/tools/add-tool-modal/index.tsx

@@ -15,7 +15,6 @@ import Category from './category'
 import Tools from './tools'
 import cn from '@/utils/classnames'
 import I18n from '@/context/i18n'
-import { getLanguage } from '@/i18n/language'
 import Drawer from '@/app/components/base/drawer'
 import Button from '@/app/components/base/button'
 import Loading from '@/app/components/base/loading'
@@ -44,13 +43,15 @@ const AddToolModal: FC<Props> = ({
 }) => {
   const { t } = useTranslation()
   const { locale } = useContext(I18n)
-  const language = getLanguage(locale)
   const [currentType, setCurrentType] = useState('builtin')
   const [currentCategory, setCurrentCategory] = useState('')
   const [keywords, setKeywords] = useState<string>('')
   const handleKeywordsChange = (value: string) => {
     setKeywords(value)
   }
+  const isMatchingKeywords = (text: string, keywords: string) => {
+    return text.toLowerCase().includes(keywords.toLowerCase())
+  }
   const [toolList, setToolList] = useState<ToolWithProvider[]>([])
   const [listLoading, setListLoading] = useState(true)
   const getAllTools = async () => {
@@ -82,13 +83,16 @@ const AddToolModal: FC<Props> = ({
       else
         return toolWithProvider.labels.includes(currentCategory)
     }).filter((toolWithProvider) => {
-      return toolWithProvider.tools.some((tool) => {
-        return Object.values(tool.label).some((label) => {
-          return label.toLowerCase().includes(keywords.toLowerCase())
+      return (
+        isMatchingKeywords(toolWithProvider.name, keywords)
+        || toolWithProvider.tools.some((tool) => {
+          return Object.values(tool.label).some((label) => {
+            return isMatchingKeywords(label, keywords)
+          })
         })
-      })
+      )
     })
-  }, [currentType, currentCategory, toolList, keywords, language])
+  }, [currentType, currentCategory, toolList, keywords])
 
   const {
     modelConfig,

web/app/components/workflow/block-selector/all-tools.tsx

@@ -11,7 +11,6 @@ import { ToolTypeEnum } from './types'
 import Tools from './tools'
 import { useToolTabs } from './hooks'
 import cn from '@/utils/classnames'
-import { useGetLanguage } from '@/context/i18n'
 
 type AllToolsProps = {
   searchText: string
@@ -21,13 +20,16 @@ const AllTools = ({
   searchText,
   onSelect,
 }: AllToolsProps) => {
-  const language = useGetLanguage()
   const tabs = useToolTabs()
   const [activeTab, setActiveTab] = useState(ToolTypeEnum.All)
   const buildInTools = useStore(s => s.buildInTools)
   const customTools = useStore(s => s.customTools)
   const workflowTools = useStore(s => s.workflowTools)
 
+  const isMatchingKeywords = (text: string, keywords: string) => {
+    return text.toLowerCase().includes(keywords.toLowerCase())
+  }
+
   const tools = useMemo(() => {
     let mergedTools: ToolWithProvider[] = []
     if (activeTab === ToolTypeEnum.All)
@@ -40,11 +42,14 @@ const AllTools = ({
       mergedTools = workflowTools
 
     return mergedTools.filter((toolWithProvider) => {
-      return toolWithProvider.tools.some((tool) => {
-        return tool.label[language].toLowerCase().includes(searchText.toLowerCase())
+      return isMatchingKeywords(toolWithProvider.name, searchText)
+      || toolWithProvider.tools.some((tool) => {
+        return Object.values(tool.label).some((label) => {
+          return isMatchingKeywords(label, searchText)
+        })
       })
     })
-  }, [activeTab, buildInTools, customTools, workflowTools, searchText, language])
+  }, [activeTab, buildInTools, customTools, workflowTools, searchText])
   return (
     <div>
       <div className='flex items-center px-3 h-8 space-x-1 bg-gray-25 border-b-[0.5px] border-black/[0.08] shadow-xs'>

web/app/components/workflow/nodes/list-operator/components/extract-input.tsx

@@ -0,0 +1,51 @@
+'use client'
+import type { FC } from 'react'
+import React, { useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { VarType } from '../../../types'
+import type { Var } from '../../../types'
+import useAvailableVarList from '@/app/components/workflow/nodes/_base/hooks/use-available-var-list'
+import cn from '@/utils/classnames'
+import Input from '@/app/components/workflow/nodes/_base/components/input-support-select-var'
+
+type Props = {
+  nodeId: string
+  readOnly: boolean
+  value: string
+  onChange: (value: string) => void
+}
+
+const ExtractInput: FC<Props> = ({
+  nodeId,
+  readOnly,
+  value,
+  onChange,
+}) => {
+  const { t } = useTranslation()
+
+  const [isFocus, setIsFocus] = useState(false)
+  const { availableVars, availableNodesWithParent } = useAvailableVarList(nodeId, {
+    onlyLeafNodeVar: false,
+    filterVar: (varPayload: Var) => {
+      return [VarType.number].includes(varPayload.type)
+    },
+  })
+
+  return (
+    <div className='flex items-start  space-x-1'>
+      <Input
+        instanceId='http-extract-number'
+        className={cn(isFocus ? 'shadow-xs bg-gray-50 border-gray-300' : 'bg-gray-100 border-gray-100', 'w-0 grow rounded-lg px-3 py-[6px] border')}
+        value={value}
+        onChange={onChange}
+        readOnly={readOnly}
+        nodesOutputVars={availableVars}
+        availableNodes={availableNodesWithParent}
+        onFocusChange={setIsFocus}
+        placeholder={!readOnly ? t('workflow.nodes.http.extractListPlaceholder')! : ''}
+        placeholderClassName='!leading-[21px]'
+      />
+    </div >
+  )
+}
+export default React.memo(ExtractInput)

web/app/components/workflow/nodes/list-operator/default.ts

@@ -12,6 +12,10 @@ const nodeDefault: NodeDefault<ListFilterNodeType> = {
       enabled: false,
       conditions: [],
     },
+    extract_by: {
+      enabled: false,
+      serial: '1',
+    },
     order_by: {
       enabled: false,
       key: '',

web/app/components/workflow/nodes/list-operator/panel.tsx

@@ -13,6 +13,7 @@ import FilterCondition from './components/filter-condition'
 import Field from '@/app/components/workflow/nodes/_base/components/field'
 import { type NodePanelProps } from '@/app/components/workflow/types'
 import Switch from '@/app/components/base/switch'
+import ExtractInput from '@/app/components/workflow/nodes/list-operator/components/extract-input'
 
 const i18nPrefix = 'workflow.nodes.listFilter'
 
@@ -32,6 +33,8 @@ const Panel: FC<NodePanelProps<ListFilterNodeType>> = ({
     filterVar,
     handleFilterEnabledChange,
     handleFilterChange,
+    handleExtractsEnabledChange,
+    handleExtractsChange,
     handleLimitChange,
     handleOrderByEnabledChange,
     handleOrderByKeyChange,
@@ -80,6 +83,41 @@ const Panel: FC<NodePanelProps<ListFilterNodeType>> = ({
         </Field>
         <Split />
         <Field
+          title={t(`${i18nPrefix}.extractsCondition`)}
+          operations={
+            <Switch
+              defaultValue={inputs.extract_by?.enabled}
+              onChange={handleExtractsEnabledChange}
+              size='md'
+              disabled={readOnly}
+            />
+          }
+        >
+          {inputs.extract_by?.enabled
+            ? (
+              <div className='flex items-center justify-between'>
+                {hasSubVariable && (
+                  <div className='grow mr-2'>
+                    <ExtractInput
+                      value={inputs.extract_by.serial as string}
+                      onChange={handleExtractsChange}
+                      readOnly={readOnly}
+                      nodeId={id}
+                    />
+                  </div>
+                )}
+              </div>
+            )
+            : null}
+        </Field>
+        <Split />
+        <LimitConfig
+          config={inputs.limit}
+          onChange={handleLimitChange}
+          readonly={readOnly}
+        />
+        <Split />
+        <Field
           title={t(`${i18nPrefix}.orderBy`)}
           operations={
             <Switch
@@ -118,13 +156,7 @@ const Panel: FC<NodePanelProps<ListFilterNodeType>> = ({
             : null}
         </Field>
         <Split />
-        <LimitConfig
-          config={inputs.limit}
-          onChange={handleLimitChange}
-          readonly={readOnly}
-        />
       </div>
-      <Split />
       <div className='px-4 pt-4 pb-2'>
         <OutputVars>
           <>

web/app/components/workflow/nodes/list-operator/types.ts

@@ -25,6 +25,10 @@ export type ListFilterNodeType = CommonNodeType & {
     enabled: boolean
     conditions: Condition[]
   }
+  extract_by: {
+    enabled: boolean
+    serial?: string
+  }
   order_by: {
     enabled: boolean
     key: ValueSelector | string

web/app/components/workflow/nodes/list-operator/use-config.ts

@@ -119,6 +119,22 @@ const useConfig = (id: string, payload: ListFilterNodeType) => {
     setInputs(newInputs)
   }, [inputs, setInputs])
 
+  const handleExtractsEnabledChange = useCallback((enabled: boolean) => {
+    const newInputs = produce(inputs, (draft) => {
+      draft.extract_by.enabled = enabled
+      if (enabled)
+        draft.extract_by.serial = '1'
+    })
+    setInputs(newInputs)
+  }, [inputs, setInputs])
+
+  const handleExtractsChange = useCallback((value: string) => {
+    const newInputs = produce(inputs, (draft) => {
+      draft.extract_by.serial = value
+    })
+    setInputs(newInputs)
+  }, [inputs, setInputs])
+
   const handleOrderByEnabledChange = useCallback((enabled: boolean) => {
     const newInputs = produce(inputs, (draft) => {
       draft.order_by.enabled = enabled
@@ -162,6 +178,8 @@ const useConfig = (id: string, payload: ListFilterNodeType) => {
     handleOrderByEnabledChange,
     handleOrderByKeyChange,
     handleOrderByTypeChange,
+    handleExtractsEnabledChange,
+    handleExtractsChange,
   }
 }
 

web/i18n/en-US/workflow.ts

@@ -369,6 +369,7 @@ const translation = {
       inputVars: 'Input Variables',
       api: 'API',
       apiPlaceholder: 'Enter URL, type ‘/’ insert variable',
+      extractListPlaceholder: 'Enter list item index, type ‘/’ insert variable',
       notStartWithHttp: 'API should start with http:// or https://',
       key: 'Key',
       type: 'Type',
@@ -569,8 +570,8 @@ const translation = {
       errorResponseMethod: 'Error response method',
       ErrorMethod: {
         operationTerminated: 'terminated',
-        continueOnError: 'continue-on-error',
-        removeAbnormalOutput: 'remove-abnormal-output',
+        continueOnError: 'continue on error',
+        removeAbnormalOutput: 'remove abnormal output',
       },
       answerNodeWarningDesc: 'Parallel mode warning: Answer nodes, conversation variable assignments, and persistent read/write operations within iterations may cause exceptions.',
     },
@@ -605,6 +606,7 @@ const translation = {
       inputVar: 'Input Variable',
       filterCondition: 'Filter Condition',
       filterConditionKey: 'Filter Condition Key',
+      extractsCondition: 'Extract the N item',
       filterConditionComparisonOperator: 'Filter Condition Comparison Operator',
       filterConditionComparisonValue: 'Filter Condition value',
       selectVariableKeyPlaceholder: 'Select sub variable key',

web/i18n/zh-Hans/workflow.ts

@@ -369,6 +369,7 @@ const translation = {
       inputVars: '输入变量',
       api: 'API',
       apiPlaceholder: '输入 URL，输入变量时请键入‘/’',
+      extractListPlaceholder: '输入提取列表编号，输入变量时请键入‘/’',
       notStartWithHttp: 'API 应该以 http:// 或 https:// 开头',
       key: '键',
       type: '类型',
@@ -608,6 +609,7 @@ const translation = {
       filterConditionComparisonOperator: '过滤条件比较操作符',
       filterConditionComparisonValue: '过滤条件比较值',
       selectVariableKeyPlaceholder: '选择子变量的 Key',
+      extractsCondition: '取第 N 项',
       limit: '取前 N 项',
       orderBy: '排序',
       asc: '升序',

web/service/base.ts

@@ -321,7 +321,9 @@ const baseFetch = <T>(
   }
 
   const urlPrefix = isPublicAPI ? PUBLIC_API_PREFIX : API_PREFIX
-  let urlWithPrefix = `${urlPrefix}${url.startsWith('/') ? url : `/${url}`}`
+  let urlWithPrefix = (url.startsWith('http://') || url.startsWith('https://'))
+    ? url
+    : `${urlPrefix}${url.startsWith('/') ? url : `/${url}`}`
 
   const { method, params, body } = options
   // handle query
@@ -494,7 +496,9 @@ export const ssePost = (
   getAbortController?.(abortController)
 
   const urlPrefix = isPublicAPI ? PUBLIC_API_PREFIX : API_PREFIX
-  const urlWithPrefix = `${urlPrefix}${url.startsWith('/') ? url : `/${url}`}`
+  const urlWithPrefix = (url.startsWith('http://') || url.startsWith('https://'))
+    ? url
+    : `${urlPrefix}${url.startsWith('/') ? url : `/${url}`}`
 
   const { body } = options
   if (body)