Merge branch 'main' into feat/iteration-single-run-time

.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/**
+          files: |
+            api/**
+            .github/workflows/style.yml
 
-      - name: Install Poetry
+      - name: Setup Poetry and Python
         if: steps.changed-files.outputs.any_changed == 'true'
-        uses: abatilo/actions-poetry@v3
+        uses: ./.github/actions/setup-poetry
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        if: steps.changed-files.outputs.any_changed == 'true'
-        with:
-          python-version: '3.10'
-
-      - 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
@@ -396,3 +400,5 @@ POSITION_PROVIDER_EXCLUDES=
 
 # 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

@@ -376,7 +376,7 @@ class LoggingConfig(BaseSettings):
 
     LOG_TZ: Optional[str] = Field(
         description="Timezone for log timestamps (e.g., 'America/New_York')",
-        default=None,
+        default="UTC",
     )
 
 
@@ -611,6 +611,11 @@ 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

@@ -317,8 +317,11 @@ 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

@@ -30,6 +30,7 @@ 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.model_runtime.utils.encoders import jsonable_encoder
@@ -65,7 +66,7 @@ class BaseAgentRunner(AppRunner):
         prompt_messages: Optional[list[PromptMessage]] = None,
         variables_pool: Optional[ToolRuntimeVariablePool] = None,
         db_variables: Optional[ToolConversationVariables] = None,
-        model_instance: ModelInstance = None,
+        model_instance: ModelInstance | None = None,
     ) -> None:
         self.tenant_id = tenant_id
         self.application_generate_entity = application_generate_entity
@@ -508,24 +509,27 @@ 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:
+        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)
+
+        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
 
-            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 file_objs:
             return UserPromptMessage(content=message.query)
-            else:
         prompt_message_contents: list[PromptMessageContent] = []
         prompt_message_contents.append(TextPromptMessageContent(data=message.query))
-                for file_obj in file_objs:
-                    prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
-
+        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)
-        else:
-            return UserPromptMessage(content=message.query)

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
 
 
@@ -36,8 +37,24 @@ class CotChatAgentRunner(CotAgentRunner):
         if self.files:
             prompt_message_contents: list[PromptMessageContent] = []
             prompt_message_contents.append(TextPromptMessageContent(data=query))
-            for file_obj in self.files:
-                prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
+
+            # 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
@@ -397,8 +398,24 @@ class FunctionCallAgentRunner(BaseAgentRunner):
         if self.files:
             prompt_message_contents: list[PromptMessageContent] = []
             prompt_message_contents.append(TextPromptMessageContent(data=query))
-            for file_obj in self.files:
-                prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
+
+            # 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
 
@@ -98,13 +97,10 @@ 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:
@@ -127,10 +123,11 @@ 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__)
 
@@ -103,8 +102,6 @@ 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())
@@ -112,8 +109,6 @@ 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:
@@ -135,10 +130,11 @@ 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

@@ -2,12 +2,11 @@ from collections.abc import Mapping
 from typing import TYPE_CHECKING, Any, Optional
 
 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:
@@ -16,8 +15,6 @@ 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
@@ -34,9 +31,7 @@ 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,
@@ -50,9 +45,7 @@ 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__)
@@ -101,8 +100,6 @@ 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())
@@ -110,8 +107,6 @@ 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:
@@ -133,10 +128,11 @@ 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
 
@@ -88,8 +87,6 @@ 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())
@@ -97,8 +94,6 @@ 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:
@@ -110,7 +105,6 @@ 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
@@ -118,7 +112,8 @@ 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,
@@ -259,14 +254,11 @@ 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__)
 
@@ -70,15 +69,11 @@ 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,
         )
 
@@ -100,7 +95,8 @@ 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/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/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml

@@ -16,9 +16,9 @@ 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/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/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/tools/provider/builtin/cogview/tools/cogvideo.py

@@ -0,0 +1,24 @@
+from typing import Any, Union
+
+from zhipuai import ZhipuAI
+
+from core.tools.entities.tool_entities import ToolInvokeMessage
+from core.tools.tool.builtin_tool import BuiltinTool
+
+
+class CogVideoTool(BuiltinTool):
+    def _invoke(
+        self, user_id: str, tool_parameters: dict[str, Any]
+    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        client = ZhipuAI(
+            base_url=self.runtime.credentials["zhipuai_base_url"],
+            api_key=self.runtime.credentials["zhipuai_api_key"],
+        )
+        if not tool_parameters.get("prompt") and not tool_parameters.get("image_url"):
+            return self.create_text_message("require at least one of prompt and image_url")
+
+        response = client.videos.generations(
+            model="cogvideox", prompt=tool_parameters.get("prompt"), image_url=tool_parameters.get("image_url")
+        )
+
+        return self.create_json_message(response.dict())

api/core/tools/provider/builtin/cogview/tools/cogvideo.yaml

@@ -0,0 +1,32 @@
+identity:
+  name: cogvideo
+  author: hjlarry
+  label:
+    en_US: CogVideo
+    zh_Hans: CogVideo 视频生成
+description:
+  human:
+    en_US: Use the CogVideox model provided by ZhipuAI to generate videos based on user prompts and images.
+    zh_Hans: 使用智谱cogvideox模型，根据用户输入的提示词和图片，生成视频。
+  llm: A tool for generating videos. The input is user's prompt or image url or both of them, the output is a task id. You can use another tool with this task id to check the status and get the video.
+parameters:
+  - name: prompt
+    type: string
+    label:
+      en_US: prompt
+      zh_Hans: 提示词
+    human_description:
+      en_US: The prompt text used to generate video.
+      zh_Hans: 用于生成视频的提示词。
+    llm_description: The prompt text used to generate video. Optional.
+    form: llm
+  - name: image_url
+    type: string
+    label:
+      en_US: image url
+      zh_Hans: 图片链接
+    human_description:
+      en_US: The image url used to generate video.
+      zh_Hans: 输入一个图片链接，生成的视频将基于该图片和提示词。
+    llm_description: The image url used to generate video. Optional.
+    form: llm

api/core/tools/provider/builtin/cogview/tools/cogvideo_job.py

@@ -0,0 +1,30 @@
+from typing import Any, Union
+
+import httpx
+from zhipuai import ZhipuAI
+
+from core.tools.entities.tool_entities import ToolInvokeMessage
+from core.tools.tool.builtin_tool import BuiltinTool
+
+
+class CogVideoJobTool(BuiltinTool):
+    def _invoke(
+        self, user_id: str, tool_parameters: dict[str, Any]
+    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        client = ZhipuAI(
+            api_key=self.runtime.credentials["zhipuai_api_key"],
+            base_url=self.runtime.credentials["zhipuai_base_url"],
+        )
+
+        response = client.videos.retrieve_videos_result(id=tool_parameters.get("id"))
+        result = [self.create_json_message(response.dict())]
+        if response.task_status == "SUCCESS":
+            for item in response.video_result:
+                video_cover_image = self.create_image_message(item.cover_image_url)
+                result.append(video_cover_image)
+                video = self.create_blob_message(
+                    blob=httpx.get(item.url).content, meta={"mime_type": "video/mp4"}, save_as=self.VariableKey.VIDEO
+                )
+                result.append(video)
+
+        return result

api/core/tools/provider/builtin/cogview/tools/cogvideo_job.yaml

@@ -0,0 +1,21 @@
+identity:
+  name: cogvideo_job
+  author: hjlarry
+  label:
+    en_US: CogVideo Result
+    zh_Hans: CogVideo 结果获取
+description:
+  human:
+    en_US: Get the result of CogVideo tool generation.
+    zh_Hans: 根据 CogVideo 工具返回的 id 获取视频生成结果。
+  llm: Get the result of CogVideo tool generation. The input is the id which is returned by the CogVideo tool. The output is the url of video and video cover image.
+parameters:
+  - name: id
+    type: string
+    label:
+      en_US: id
+    human_description:
+      en_US: The id returned by the CogVideo.
+      zh_Hans: CogVideo 工具返回的 id。
+    llm_description: The id returned by the cogvideo.
+    form: llm

api/core/tools/provider/builtin/comfyui/tools/comfyui_client.py

@@ -48,7 +48,6 @@ class ComfyUiClient:
         prompt = origin_prompt.copy()
         id_to_class_type = {id: details["class_type"] for id, details in prompt.items()}
         k_sampler = [key for key, value in id_to_class_type.items() if value == "KSampler"][0]
-        prompt.get(k_sampler)["inputs"]["seed"] = random.randint(10**14, 10**15 - 1)
         positive_input_id = prompt.get(k_sampler)["inputs"]["positive"][0]
         prompt.get(positive_input_id)["inputs"]["text"] = positive_prompt
 
@@ -72,6 +71,18 @@ class ComfyUiClient:
             prompt.get(load_image)["inputs"]["image"] = image_name
         return prompt
 
+    def set_prompt_seed_by_id(self, origin_prompt: dict, seed_id: str) -> dict:
+        prompt = origin_prompt.copy()
+        if seed_id not in prompt:
+            raise Exception("Not a valid seed node")
+        if "seed" in prompt[seed_id]["inputs"]:
+            prompt[seed_id]["inputs"]["seed"] = random.randint(10**14, 10**15 - 1)
+        elif "noise_seed" in prompt[seed_id]["inputs"]:
+            prompt[seed_id]["inputs"]["noise_seed"] = random.randint(10**14, 10**15 - 1)
+        else:
+            raise Exception("Not a valid seed node")
+        return prompt
+
     def track_progress(self, prompt: dict, ws: WebSocket, prompt_id: str):
         node_ids = list(prompt.keys())
         finished_nodes = []

api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.py

@@ -70,6 +70,9 @@ class ComfyUIWorkflowTool(BuiltinTool):
             else:
                 prompt = comfyui.set_prompt_images_by_default(prompt, image_names)
 
+        if seed_id := tool_parameters.get("seed_id"):
+            prompt = comfyui.set_prompt_seed_by_id(prompt, seed_id)
+
         images = comfyui.generate_image_by_prompt(prompt)
         result = []
         for img in images:

api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.yaml

@@ -52,3 +52,12 @@ parameters:
       en_US: When the workflow has multiple image nodes, enter the ID list of these nodes, and the images will be passed to ComfyUI in the order of the list.
       zh_Hans: 当工作流有多个图片节点时，输入这些节点的ID列表，图片将按列表顺序传给ComfyUI
     form: form
+  - name: seed_id
+    type: string
+    label:
+      en_US: Seed Node Id
+      zh_Hans: 种子节点ID
+    human_description:
+      en_US: If you need to generate different images each time, you need to enter the ID of the seed node.
+      zh_Hans: 如果需要每次生成时使用不同的种子，需要输入包含种子的节点的ID
+    form: form

api/core/tools/provider/builtin/vectorizer/vectorizer.py

@@ -1,19 +1,23 @@
 from typing import Any
 
-from core.file import File
-from core.file.enums import FileTransferMethod, FileType
+from core.file import FileTransferMethod, FileType
 from core.tools.errors import ToolProviderCredentialValidationError
 from core.tools.provider.builtin.vectorizer.tools.vectorizer import VectorizerTool
 from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
+from factories import file_factory
 
 
 class VectorizerProvider(BuiltinToolProviderController):
     def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        test_img = File(
+        mapping = {
+            "transfer_method": FileTransferMethod.TOOL_FILE,
+            "type": FileType.IMAGE,
+            "id": "test_id",
+            "url": "https://cloud.dify.ai/logo/logo-site.png",
+        }
+        test_img = file_factory.build_from_mapping(
+            mapping=mapping,
             tenant_id="__test_123",
-            remote_url="https://cloud.dify.ai/logo/logo-site.png",
-            type=FileType.IMAGE,
-            transfer_method=FileTransferMethod.REMOTE_URL,
         )
         try:
             VectorizerTool().fork_tool_runtime(

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(
+            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,
-                    type=FileType.IMAGE,
-                    transfer_method=FileTransferMethod.TOOL_FILE,
-                    related_id=tool_file.id,
-                    filename=filename,
-                    extension=extension,
-                    mime_type=content_type,
-                )
             )
+            files.append(file)
 
         return files

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

@@ -17,6 +17,7 @@ from core.workflow.nodes.base import BaseNode
 from core.workflow.nodes.enums import NodeType
 from core.workflow.utils.variable_template_parser import VariableTemplateParser
 from extensions.ext_database import db
+from factories import file_factory
 from models import ToolFile
 from models.workflow import WorkflowNodeExecutionStatus
 
@@ -189,19 +190,17 @@ class ToolNode(BaseNode[ToolNodeData]):
                     if tool_file is None:
                         raise ToolFileError(f"Tool file {tool_file_id} does not exist")
 
-                result.append(
-                    File(
+                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,
-                        type=FileType.IMAGE,
-                        transfer_method=transfer_method,
-                        remote_url=url,
-                        related_id=tool_file.id,
-                        filename=tool_file.name,
-                        extension=ext,
-                        mime_type=tool_file.mimetype,
-                        size=tool_file.size,
-                    )
                 )
+                result.append(file)
             elif response.type == ToolInvokeMessage.MessageType.BLOB:
                 # get tool file id
                 tool_file_id = str(response.message).split("/")[-1].split(".")[0]
@@ -209,19 +208,17 @@ class ToolNode(BaseNode[ToolNodeData]):
                     stmt = select(ToolFile).where(ToolFile.id == tool_file_id)
                     tool_file = session.scalar(stmt)
                     if tool_file is None:
-                        raise ToolFileError(f"Tool file {tool_file_id} does not exist")
-                result.append(
-                    File(
+                        raise ValueError(f"tool file {tool_file_id} not exists")
+                mapping = {
+                    "tool_file_id": tool_file_id,
+                    "type": FileType.IMAGE,
+                    "transfer_method": FileTransferMethod.TOOL_FILE,
+                }
+                file = file_factory.build_from_mapping(
+                    mapping=mapping,
                     tenant_id=self.tenant_id,
-                        type=FileType.IMAGE,
-                        transfer_method=FileTransferMethod.TOOL_FILE,
-                        related_id=tool_file.id,
-                        filename=tool_file.name,
-                        extension=path.splitext(response.save_as)[1],
-                        mime_type=tool_file.mimetype,
-                        size=tool_file.size,
-                    )
                 )
+                result.append(file)
             elif response.type == ToolInvokeMessage.MessageType.LINK:
                 url = str(response.message)
                 transfer_method = FileTransferMethod.TOOL_FILE
@@ -235,16 +232,15 @@ class ToolNode(BaseNode[ToolNodeData]):
                     extension = "." + url.split("/")[-1].split(".")[1]
                 else:
                     extension = ".bin"
-                file = File(
+                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,
-                    type=FileType(response.save_as),
-                    transfer_method=transfer_method,
-                    remote_url=url,
-                    filename=tool_file.name,
-                    related_id=tool_file.id,
-                    extension=extension,
-                    mime_type=tool_file.mimetype,
-                    size=tool_file.size,
                 )
                 result.append(file)
 

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,
@@ -271,19 +272,17 @@ 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,
     )
 
@@ -53,49 +49,39 @@ 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 _:
+
+    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
 
 
 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,
@@ -162,23 +135,37 @@ 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, filename, file_size = _get_remote_file_info(url)
+    extension = mimetypes.guess_extension(mime_type) or "." + filename.split(".")[-1] if "." in filename else ".bin"
+
+    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,
+        mime_type=mime_type,
+        extension=extension,
+        size=file_size,
+    )
+
+
+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"
@@ -186,56 +173,34 @@ def _build_from_remote_url(
     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('"')
+            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", ""))
 
-    # Determine file extension
-    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(
-        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
+    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

@@ -13,7 +13,7 @@ from sqlalchemy import Float, 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
@@ -949,9 +949,6 @@ class Message(db.Model):
                         "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:
@@ -964,9 +961,6 @@ class Message(db.Model):
                         "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:
@@ -981,9 +975,6 @@ class Message(db.Model):
                 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

@@ -125,13 +125,13 @@ speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiohttp-retry"
-version = "2.8.3"
+version = "2.9.0"
 description = "Simple retry client for aiohttp"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "aiohttp_retry-2.8.3-py3-none-any.whl", hash = "sha256:3aeeead8f6afe48272db93ced9440cf4eda8b6fd7ee2abb25357b7eb28525b45"},
-    {file = "aiohttp_retry-2.8.3.tar.gz", hash = "sha256:9a8e637e31682ad36e1ff9f8bcba912fcfc7d7041722bc901a4b948da4d71ea9"},
+    {file = "aiohttp_retry-2.9.0-py3-none-any.whl", hash = "sha256:7661af92471e9a96c69d9b8f32021360272073397e6a15bc44c1726b12f46056"},
+    {file = "aiohttp_retry-2.9.0.tar.gz", hash = "sha256:92c47f1580040208bac95d9a8389a87227ef22758530f2e3f4683395e42c41b5"},
 ]
 
 [package.dependencies]
@@ -172,12 +172,12 @@ tz = ["backports.zoneinfo"]
 
 [[package]]
 name = "alibabacloud-credentials"
-version = "0.3.5"
+version = "0.3.6"
 description = "The alibabacloud credentials module of alibabaCloud Python SDK."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "alibabacloud_credentials-0.3.5.tar.gz", hash = "sha256:ad065ec95921eaf51939195485d0e5cc9e0ea050282059c7d8bf74bdb5496177"},
+    {file = "alibabacloud_credentials-0.3.6.tar.gz", hash = "sha256:caa82cf258648dcbe1ca14aeba50ba21845567d6ac3cd48d318e0a445fff7f96"},
 ]
 
 [package.dependencies]
@@ -847,13 +847,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.47"
+version = "1.35.52"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.47-py3-none-any.whl", hash = "sha256:05f4493119a96799ff84d43e78691efac3177e1aec8840cca99511de940e342a"},
-    {file = "botocore-1.35.47.tar.gz", hash = "sha256:f8f703463d3cd8b6abe2bedc443a7ab29f0e2ff1588a2e83164b108748645547"},
+    {file = "botocore-1.35.52-py3-none-any.whl", hash = "sha256:cdbb5e43c9c3a977763e2a10d3b8b9c405d51279f9fcfd4ca4800763b22acba5"},
+    {file = "botocore-1.35.52.tar.gz", hash = "sha256:1fe7485ea13d638b089103addd818c12984ff1e4d208de15f180b1e25ad944c5"},
 ]
 
 [package.dependencies]
@@ -1098,13 +1098,13 @@ 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]
@@ -1120,7 +1120,7 @@ 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)"]
@@ -1130,22 +1130,23 @@ 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)"]
@@ -2257,18 +2258,18 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "6.3.2"
+version = "6.3.3"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 click = ">=8.1.7"
-primp = ">=0.6.4"
+primp = ">=0.6.5"
 
 [package.extras]
 dev = ["mypy (>=1.11.1)", "pytest (>=8.3.1)", "pytest-asyncio (>=0.23.8)", "ruff (>=0.6.1)"]
@@ -2373,13 +2374,13 @@ pycryptodome = ">=3.10.1"
 
 [[package]]
 name = "et-xmlfile"
-version = "1.1.0"
+version = "2.0.0"
 description = "An implementation of lxml.xmlfile for the standard library"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -2412,13 +2413,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.115.3"
+version = "0.115.4"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -3336,13 +3337,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.5"
+version = "1.13.0"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -3606,70 +3607,70 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
 [[package]]
 name = "grpcio"
-version = "1.67.0"
+version = "1.67.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
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-[package.dependencies]
-numpy = ">=1.16.6"
-
 [package.extras]
 test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
@@ -7257,13 +7261,13 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymilvus"
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+version = "2.4.9"
 description = "Python Sdk for Milvus"
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 [package.dependencies]
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 [package.dependencies]
 typing_extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-crypto = ["PyCryptodome", "cryptography"]
+crypto = ["cryptography"]
+cryptodome = ["PyCryptodome"]
 dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "pytest-timeout", "pytest-xdist", "wheel"]
 docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
-full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
+full = ["Pillow (>=8.0.0)", "cryptography"]
 image = ["Pillow (>=8.0.0)"]
 
 [[package]]
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 [[package]]
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-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.12.*)", "pytest-mypy"]
 
 [[package]]
 name = "sgmllib3k"
@@ -9625,13 +9635,13 @@ six = "*"
 
 [[package]]
 name = "tqdm"
-version = "4.66.5"
+version = "4.66.6"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
-    {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
+    {file = "tqdm-4.66.6-py3-none-any.whl", hash = "sha256:223e8b5359c2efc4b30555531f09e9f2f3589bcd7fdd389271191031b49b7a63"},
+    {file = "tqdm-4.66.6.tar.gz", hash = "sha256:4bdd694238bef1485ce839d67967ab50af8f9272aab687c0d7702a01da0be090"},
 ]
 
 [package.dependencies]
@@ -9885,13 +9895,13 @@ files = [
 
 [[package]]
 name = "unstructured"
-version = "0.16.1"
+version = "0.16.3"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
 python-versions = "<3.13,>=3.9.0"
 files = [
-    {file = "unstructured-0.16.1-py3-none-any.whl", hash = "sha256:7512281a2917809a563cbb186876b77d5a361e1f3089eca61e9219aecd1218f9"},
-    {file = "unstructured-0.16.1.tar.gz", hash = "sha256:03608b5189a004412cd618ce2d083ff926c56dbbca41b41c92e08ffa9e2bac3a"},
+    {file = "unstructured-0.16.3-py3-none-any.whl", hash = "sha256:e0e3b56531b44e62154d17cbfdae7fd7fa1d795b7cf510fb654c6714d4257655"},
+    {file = "unstructured-0.16.3.tar.gz", hash = "sha256:f9528636773c910a53c8a34e32d4733ea54b79cbd507d0e956e299ab1da3003f"},
 ]
 
 [package.dependencies]
@@ -9922,19 +9932,19 @@ unstructured-client = "*"
 wrapt = "*"
 
 [package.extras]
-all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.0)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 csv = ["pandas"]
 doc = ["python-docx (>=1.1.2)"]
 docx = ["python-docx (>=1.1.2)"]
 epub = ["pypandoc"]
 huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
-image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.0)", "unstructured.pytesseract (>=0.3.12)"]
-local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.0)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"]
+local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 md = ["markdown"]
 odt = ["pypandoc", "python-docx (>=1.1.2)"]
 org = ["pypandoc"]
 paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.1.0)"]
-pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.0)", "unstructured.pytesseract (>=0.3.12)"]
+pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"]
 ppt = ["python-pptx (>=1.0.1)"]
 pptx = ["python-pptx (>=1.0.1)"]
 rst = ["pypandoc"]
@@ -9944,13 +9954,13 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
 
 [[package]]
 name = "unstructured-client"
-version = "0.26.1"
+version = "0.26.2"
 description = "Python Client SDK for Unstructured API"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "unstructured_client-0.26.1-py3-none-any.whl", hash = "sha256:b8b839d477122bab3f37242cbe44b39f7eb7b564b07b53500321f953710119b6"},
-    {file = "unstructured_client-0.26.1.tar.gz", hash = "sha256:907cceb470529b45b0fddb2d0f1bbf4d6568f347c757ab68639a7bb620ec2484"},
+    {file = "unstructured_client-0.26.2-py3-none-any.whl", hash = "sha256:0adb22b7d175814f333ee2425a279005f253220a55f459fd5830a6779b679780"},
+    {file = "unstructured_client-0.26.2.tar.gz", hash = "sha256:02f7183ab16db6ec48ad1ac75c01b05967c87c561a89e96d9ffb836baed902d7"},
 ]
 
 [package.dependencies]
@@ -10445,13 +10455,13 @@ files = [
 
 [[package]]
 name = "werkzeug"
-version = "3.0.4"
+version = "3.0.6"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "werkzeug-3.0.4-py3-none-any.whl", hash = "sha256:02c9eb92b7d6c06f31a782811505d2157837cea66aaede3e217c7c27c039476c"},
-    {file = "werkzeug-3.0.4.tar.gz", hash = "sha256:34f2371506b250df4d4f84bfe7b0921e4762525762bbd936614909fe25cd7306"},
+    {file = "werkzeug-3.0.6-py3-none-any.whl", hash = "sha256:1bc0c2310d2fbb07b1dd1105eba2f7af72f322e1e455f2f93c993bee8c8a5f17"},
+    {file = "werkzeug-3.0.6.tar.gz", hash = "sha256:a8dd59d4de28ca70471a34cba79bed5f7ef2e036a76b3ab0835474246eb41f8d"},
 ]
 
 [package.dependencies]
@@ -10745,13 +10755,13 @@ multidict = ">=4.0"
 
 [[package]]
 name = "yfinance"
-version = "0.2.46"
+version = "0.2.48"
 description = "Download market data from Yahoo! Finance API"
 optional = false
 python-versions = "*"
 files = [
-    {file = "yfinance-0.2.46-py2.py3-none-any.whl", hash = "sha256:371860d532cae76605195678a540e29382bfd0607f8aa61695f753e714916ffc"},
-    {file = "yfinance-0.2.46.tar.gz", hash = "sha256:a6e2a128915532a54b8f6614cfdb7a8c242d2386e05f95c89b15865b5d9c0352"},
+    {file = "yfinance-0.2.48-py2.py3-none-any.whl", hash = "sha256:eda797145faa4536595eb629f869d3616e58ed7e71de36856b19f1abaef71a5b"},
+    {file = "yfinance-0.2.48.tar.gz", hash = "sha256:1434cd8bf22f345fa27ef1ed82bfdd291c1bb5b6fe3067118a94e256aa90c4eb"},
 ]
 
 [package.dependencies]
@@ -10995,4 +11005,4 @@ 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":
@@ -1461,6 +1465,9 @@ class SegmentService:
                 tokens = 0
                 if dataset.indexing_technique == "high_quality" and embedding_model:
                     # calc embedding use tokens
+                    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,
@@ -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
@@ -1565,6 +1574,9 @@ class SegmentService:
                     )
 
                     # calc embedding use tokens
+                    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
@@ -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/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)),
         )
     ]
 

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/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)