feat/enhance the multi-modal support (#8818)

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-LAN- 2024-10-21 10:43:49 +08:00 committed by GitHub
parent 7a1d6fe509
commit e61752bd3a
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267 changed files with 6263 additions and 3523 deletions

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@ -233,6 +233,8 @@ VIKINGDB_SOCKET_TIMEOUT=30
UPLOAD_FILE_SIZE_LIMIT=15
UPLOAD_FILE_BATCH_LIMIT=5
UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
UPLOAD_VIDEO_FILE_SIZE_LIMIT=100
UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
# Model Configuration
MULTIMODAL_SEND_IMAGE_FORMAT=base64
@ -310,6 +312,7 @@ INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
WORKFLOW_MAX_EXECUTION_STEPS=500
WORKFLOW_MAX_EXECUTION_TIME=1200
WORKFLOW_CALL_MAX_DEPTH=5
MAX_VARIABLE_SIZE=204800
# App configuration
APP_MAX_EXECUTION_TIME=1200

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@ -1,8 +1,15 @@
{
"version": "0.2.0",
"compounds": [
{
"name": "Launch Flask and Celery",
"configurations": ["Python: Flask", "Python: Celery"]
}
],
"configurations": [
{
"name": "Python: Flask",
"consoleName": "Flask",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv/bin/python",
@ -17,12 +24,12 @@
},
"args": [
"run",
"--host=0.0.0.0",
"--port=5001"
]
},
{
"name": "Python: Celery",
"consoleName": "Celery",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv/bin/python",
@ -45,10 +52,10 @@
"-c",
"1",
"--loglevel",
"info",
"DEBUG",
"-Q",
"dataset,generation,mail,ops_trace,app_deletion"
]
},
}
]
}

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@ -19,7 +19,7 @@ from extensions.ext_redis import redis_client
from libs.helper import email as email_validate
from libs.password import hash_password, password_pattern, valid_password
from libs.rsa import generate_key_pair
from models.account import Tenant
from models import Tenant
from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
from models.dataset import Document as DatasetDocument
from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation

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@ -20,11 +20,11 @@ class SecurityConfig(BaseSettings):
Security-related configurations for the application
"""
SECRET_KEY: Optional[str] = Field(
SECRET_KEY: str = Field(
description="Secret key for secure session cookie signing."
"Make sure you are changing this key for your deployment with a strong key."
"Generate a strong key using `openssl rand -base64 42` or set via the `SECRET_KEY` environment variable.",
default=None,
default="",
)
RESET_PASSWORD_TOKEN_EXPIRY_HOURS: PositiveInt = Field(
@ -186,6 +186,16 @@ class FileUploadConfig(BaseSettings):
default=10,
)
UPLOAD_VIDEO_FILE_SIZE_LIMIT: NonNegativeInt = Field(
description="video file size limit in Megabytes for uploading files",
default=100,
)
UPLOAD_AUDIO_FILE_SIZE_LIMIT: NonNegativeInt = Field(
description="audio file size limit in Megabytes for uploading files",
default=50,
)
BATCH_UPLOAD_LIMIT: NonNegativeInt = Field(
description="Maximum number of files allowed in a batch upload operation",
default=20,
@ -364,8 +374,8 @@ class WorkflowConfig(BaseSettings):
)
MAX_VARIABLE_SIZE: PositiveInt = Field(
description="Maximum size in bytes for a single variable in workflows. Default to 5KB.",
default=5 * 1024,
description="Maximum size in bytes for a single variable in workflows. Default to 200 KB.",
default=200 * 1024,
)
@ -493,6 +503,7 @@ class RagEtlConfig(BaseSettings):
Configuration for RAG ETL processes
"""
# TODO: This config is not only for rag etl, it is also for file upload, we should move it to file upload config
ETL_TYPE: str = Field(
description="RAG ETL type ('dify' or 'Unstructured'), default to 'dify'",
default="dify",
@ -559,7 +570,7 @@ class IndexingConfig(BaseSettings):
class ImageFormatConfig(BaseSettings):
MULTIMODAL_SEND_IMAGE_FORMAT: str = Field(
MULTIMODAL_SEND_IMAGE_FORMAT: Literal["base64", "url"] = Field(
description="Format for sending images in multimodal contexts ('base64' or 'url'), default is base64",
default="base64",
)

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@ -1,2 +1,22 @@
from configs import dify_config
HIDDEN_VALUE = "[__HIDDEN__]"
UUID_NIL = "00000000-0000-0000-0000-000000000000"
IMAGE_EXTENSIONS = ["jpg", "jpeg", "png", "webp", "gif", "svg"]
IMAGE_EXTENSIONS.extend([ext.upper() for ext in IMAGE_EXTENSIONS])
VIDEO_EXTENSIONS = ["mp4", "mov", "mpeg", "mpga"]
VIDEO_EXTENSIONS.extend([ext.upper() for ext in VIDEO_EXTENSIONS])
AUDIO_EXTENSIONS = ["mp3", "m4a", "wav", "webm", "amr"]
AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS])
if dify_config.ETL_TYPE == "Unstructured":
DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "pdf", "html", "htm", "xlsx", "xls"]
DOCUMENT_EXTENSIONS.extend(("docx", "csv", "eml", "msg", "pptx", "ppt", "xml", "epub"))
DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])
else:
DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "pdf", "html", "htm", "xlsx", "xls", "docx", "csv"]
DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])

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@ -1,7 +1,9 @@
from contextvars import ContextVar
from typing import TYPE_CHECKING
from core.workflow.entities.variable_pool import VariablePool
if TYPE_CHECKING:
from core.workflow.entities.variable_pool import VariablePool
tenant_id: ContextVar[str] = ContextVar("tenant_id")
workflow_variable_pool: ContextVar[VariablePool] = ContextVar("workflow_variable_pool")
workflow_variable_pool: ContextVar["VariablePool"] = ContextVar("workflow_variable_pool")

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@ -22,7 +22,8 @@ from fields.conversation_fields import (
)
from libs.helper import DatetimeString
from libs.login import login_required
from models.model import AppMode, Conversation, EndUser, Message, MessageAnnotation
from models import Conversation, EndUser, Message, MessageAnnotation
from models.model import AppMode
class CompletionConversationApi(Resource):

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@ -12,7 +12,7 @@ from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from fields.app_fields import app_site_fields
from libs.login import login_required
from models.model import Site
from models import Site
def parse_app_site_args():

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@ -13,14 +13,14 @@ from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.entities.app_invoke_entities import InvokeFrom
from core.app.segments import factory
from core.errors.error import AppInvokeQuotaExceededError
from factories import variable_factory
from fields.workflow_fields import workflow_fields
from fields.workflow_run_fields import workflow_run_node_execution_fields
from libs import helper
from libs.helper import TimestampField, uuid_value
from libs.login import current_user, login_required
from models.model import App, AppMode
from models import App
from models.model import AppMode
from services.app_dsl_service import AppDslService
from services.app_generate_service import AppGenerateService
from services.errors.app import WorkflowHashNotEqualError
@ -101,9 +101,13 @@ class DraftWorkflowApi(Resource):
try:
environment_variables_list = args.get("environment_variables") or []
environment_variables = [factory.build_variable_from_mapping(obj) for obj in environment_variables_list]
environment_variables = [
variable_factory.build_variable_from_mapping(obj) for obj in environment_variables_list
]
conversation_variables_list = args.get("conversation_variables") or []
conversation_variables = [factory.build_variable_from_mapping(obj) for obj in conversation_variables_list]
conversation_variables = [
variable_factory.build_variable_from_mapping(obj) for obj in conversation_variables_list
]
workflow = workflow_service.sync_draft_workflow(
app_model=app_model,
graph=args["graph"],
@ -273,17 +277,15 @@ class DraftWorkflowRunApi(Resource):
parser.add_argument("files", type=list, required=False, location="json")
args = parser.parse_args()
try:
response = AppGenerateService.generate(
app_model=app_model, user=current_user, args=args, invoke_from=InvokeFrom.DEBUGGER, streaming=True
)
response = AppGenerateService.generate(
app_model=app_model,
user=current_user,
args=args,
invoke_from=InvokeFrom.DEBUGGER,
streaming=True,
)
return helper.compact_generate_response(response)
except (ValueError, AppInvokeQuotaExceededError) as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
return helper.compact_generate_response(response)
class WorkflowTaskStopApi(Resource):

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@ -7,7 +7,8 @@ from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
from libs.login import login_required
from models.model import App, AppMode
from models import App
from models.model import AppMode
from services.workflow_app_service import WorkflowAppService

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@ -13,7 +13,8 @@ from fields.workflow_run_fields import (
)
from libs.helper import uuid_value
from libs.login import login_required
from models.model import App, AppMode
from models import App
from models.model import AppMode
from services.workflow_run_service import WorkflowRunService

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@ -13,8 +13,8 @@ from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from libs.helper import DatetimeString
from libs.login import login_required
from models.enums import WorkflowRunTriggeredFrom
from models.model import AppMode
from models.workflow import WorkflowRunTriggeredFrom
class WorkflowDailyRunsStatistic(Resource):

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@ -5,7 +5,8 @@ from typing import Optional, Union
from controllers.console.app.error import AppNotFoundError
from extensions.ext_database import db
from libs.login import current_user
from models.model import App, AppMode
from models import App
from models.model import AppMode
def get_app_model(view: Optional[Callable] = None, *, mode: Union[AppMode, list[AppMode]] = None):

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@ -13,7 +13,8 @@ from events.tenant_event import tenant_was_created
from extensions.ext_database import db
from libs.helper import extract_remote_ip
from libs.oauth import GitHubOAuth, GoogleOAuth, OAuthUserInfo
from models.account import Account, AccountStatus
from models import Account
from models.account import AccountStatus
from services.account_service import AccountService, RegisterService, TenantService
from services.errors.account import AccountNotFoundError
from services.errors.workspace import WorkSpaceNotAllowedCreateError, WorkSpaceNotFoundError

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@ -15,8 +15,7 @@ from core.rag.extractor.notion_extractor import NotionExtractor
from extensions.ext_database import db
from fields.data_source_fields import integrate_list_fields, integrate_notion_info_list_fields
from libs.login import login_required
from models.dataset import Document
from models.source import DataSourceOauthBinding
from models import DataSourceOauthBinding, Document
from services.dataset_service import DatasetService, DocumentService
from tasks.document_indexing_sync_task import document_indexing_sync_task

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@ -24,8 +24,8 @@ from fields.app_fields import related_app_list
from fields.dataset_fields import dataset_detail_fields, dataset_query_detail_fields
from fields.document_fields import document_status_fields
from libs.login import login_required
from models.dataset import Dataset, DatasetPermissionEnum, Document, DocumentSegment
from models.model import ApiToken, UploadFile
from models import ApiToken, Dataset, Document, DocumentSegment, UploadFile
from models.dataset import DatasetPermissionEnum
from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService

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@ -46,8 +46,7 @@ from fields.document_fields import (
document_with_segments_fields,
)
from libs.login import login_required
from models.dataset import Dataset, DatasetProcessRule, Document, DocumentSegment
from models.model import UploadFile
from models import Dataset, DatasetProcessRule, Document, DocumentSegment, UploadFile
from services.dataset_service import DatasetService, DocumentService
from tasks.add_document_to_index_task import add_document_to_index_task
from tasks.remove_document_from_index_task import remove_document_from_index_task

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@ -24,7 +24,7 @@ from extensions.ext_database import db
from extensions.ext_redis import redis_client
from fields.segment_fields import segment_fields
from libs.login import login_required
from models.dataset import DocumentSegment
from models import DocumentSegment
from services.dataset_service import DatasetService, DocumentService, SegmentService
from tasks.batch_create_segment_to_index_task import batch_create_segment_to_index_task
from tasks.disable_segment_from_index_task import disable_segment_from_index_task

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@ -1,9 +1,12 @@
import urllib.parse
from flask import request
from flask_login import current_user
from flask_restful import Resource, marshal_with
import services
from configs import dify_config
from constants import DOCUMENT_EXTENSIONS
from controllers.console import api
from controllers.console.datasets.error import (
FileTooLargeError,
@ -13,9 +16,10 @@ from controllers.console.datasets.error import (
)
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
from fields.file_fields import file_fields, upload_config_fields
from core.helper import ssrf_proxy
from fields.file_fields import file_fields, remote_file_info_fields, upload_config_fields
from libs.login import login_required
from services.file_service import ALLOWED_EXTENSIONS, UNSTRUCTURED_ALLOWED_EXTENSIONS, FileService
from services.file_service import FileService
PREVIEW_WORDS_LIMIT = 3000
@ -51,7 +55,7 @@ class FileApi(Resource):
if len(request.files) > 1:
raise TooManyFilesError()
try:
upload_file = FileService.upload_file(file, current_user)
upload_file = FileService.upload_file(file=file, user=current_user)
except services.errors.file.FileTooLargeError as file_too_large_error:
raise FileTooLargeError(file_too_large_error.description)
except services.errors.file.UnsupportedFileTypeError:
@ -75,11 +79,24 @@ class FileSupportTypeApi(Resource):
@login_required
@account_initialization_required
def get(self):
etl_type = dify_config.ETL_TYPE
allowed_extensions = UNSTRUCTURED_ALLOWED_EXTENSIONS if etl_type == "Unstructured" else ALLOWED_EXTENSIONS
return {"allowed_extensions": allowed_extensions}
return {"allowed_extensions": DOCUMENT_EXTENSIONS}
class RemoteFileInfoApi(Resource):
@marshal_with(remote_file_info_fields)
def get(self, url):
decoded_url = urllib.parse.unquote(url)
try:
response = ssrf_proxy.head(decoded_url)
return {
"file_type": response.headers.get("Content-Type", "application/octet-stream"),
"file_length": int(response.headers.get("Content-Length", 0)),
}
except Exception as e:
return {"error": str(e)}, 400
api.add_resource(FileApi, "/files/upload")
api.add_resource(FilePreviewApi, "/files/<uuid:file_id>/preview")
api.add_resource(FileSupportTypeApi, "/files/support-type")
api.add_resource(RemoteFileInfoApi, "/remote-files/<path:url>")

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@ -11,7 +11,7 @@ from controllers.console.wraps import account_initialization_required, cloud_edi
from extensions.ext_database import db
from fields.installed_app_fields import installed_app_list_fields
from libs.login import login_required
from models.model import App, InstalledApp, RecommendedApp
from models import App, InstalledApp, RecommendedApp
from services.account_service import TenantService

View File

@ -18,7 +18,7 @@ message_fields = {
"inputs": fields.Raw,
"query": fields.String,
"answer": fields.String,
"message_files": fields.List(fields.Nested(message_file_fields), attribute="files"),
"message_files": fields.List(fields.Nested(message_file_fields)),
"feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True),
"created_at": TimestampField,
}

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@ -7,7 +7,7 @@ from werkzeug.exceptions import NotFound
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from libs.login import login_required
from models.model import InstalledApp
from models import InstalledApp
def installed_app_required(view=None):

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@ -20,7 +20,7 @@ from extensions.ext_database import db
from fields.member_fields import account_fields
from libs.helper import TimestampField, timezone
from libs.login import login_required
from models.account import AccountIntegrate, InvitationCode
from models import AccountIntegrate, InvitationCode
from services.account_service import AccountService
from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError

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@ -360,16 +360,15 @@ class ToolWorkflowProviderCreateApi(Resource):
args = reqparser.parse_args()
return WorkflowToolManageService.create_workflow_tool(
user_id,
tenant_id,
args["workflow_app_id"],
args["name"],
args["label"],
args["icon"],
args["description"],
args["parameters"],
args["privacy_policy"],
args.get("labels", []),
user_id=user_id,
tenant_id=tenant_id,
workflow_app_id=args["workflow_app_id"],
name=args["name"],
label=args["label"],
icon=args["icon"],
description=args["description"],
parameters=args["parameters"],
privacy_policy=args["privacy_policy"],
)

View File

@ -198,7 +198,7 @@ class WebappLogoWorkspaceApi(Resource):
raise UnsupportedFileTypeError()
try:
upload_file = FileService.upload_file(file, current_user, True)
upload_file = FileService.upload_file(file=file, user=current_user)
except services.errors.file.FileTooLargeError as file_too_large_error:
raise FileTooLargeError(file_too_large_error.description)

View File

@ -10,6 +10,10 @@ from services.file_service import FileService
class ImagePreviewApi(Resource):
"""
Deprecated
"""
def get(self, file_id):
file_id = str(file_id)
@ -21,7 +25,36 @@ class ImagePreviewApi(Resource):
return {"content": "Invalid request."}, 400
try:
generator, mimetype = FileService.get_image_preview(file_id, timestamp, nonce, sign)
generator, mimetype = FileService.get_image_preview(
file_id=file_id,
timestamp=timestamp,
nonce=nonce,
sign=sign,
)
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError()
return Response(generator, mimetype=mimetype)
class FilePreviewApi(Resource):
def get(self, file_id):
file_id = str(file_id)
timestamp = request.args.get("timestamp")
nonce = request.args.get("nonce")
sign = request.args.get("sign")
if not timestamp or not nonce or not sign:
return {"content": "Invalid request."}, 400
try:
generator, mimetype = FileService.get_signed_file_preview(
file_id=file_id,
timestamp=timestamp,
nonce=nonce,
sign=sign,
)
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError()
@ -49,4 +82,5 @@ class WorkspaceWebappLogoApi(Resource):
api.add_resource(ImagePreviewApi, "/files/<uuid:file_id>/image-preview")
api.add_resource(FilePreviewApi, "/files/<uuid:file_id>/file-preview")
api.add_resource(WorkspaceWebappLogoApi, "/files/workspaces/<uuid:workspace_id>/webapp-logo")

View File

@ -16,6 +16,7 @@ class ToolFilePreviewApi(Resource):
parser.add_argument("timestamp", type=str, required=True, location="args")
parser.add_argument("nonce", type=str, required=True, location="args")
parser.add_argument("sign", type=str, required=True, location="args")
parser.add_argument("as_attachment", type=bool, required=False, default=False, location="args")
args = parser.parse_args()
@ -28,18 +29,27 @@ class ToolFilePreviewApi(Resource):
raise Forbidden("Invalid request.")
try:
result = ToolFileManager.get_file_generator_by_tool_file_id(
stream, tool_file = ToolFileManager.get_file_generator_by_tool_file_id(
file_id,
)
if not result:
if not stream or not tool_file:
raise NotFound("file is not found")
generator, mimetype = result
except Exception:
raise UnsupportedFileTypeError()
return Response(generator, mimetype=mimetype)
response = Response(
stream,
mimetype=tool_file.mimetype,
direct_passthrough=True,
headers={
"Content-Length": str(tool_file.size),
},
)
if args["as_attachment"]:
response.headers["Content-Disposition"] = f"attachment; filename={tool_file.name}"
return response
api.add_resource(ToolFilePreviewApi, "/files/tools/<uuid:file_id>.<string:extension>")

View File

@ -48,7 +48,7 @@ class MessageListApi(Resource):
"tool_input": fields.String,
"created_at": TimestampField,
"observation": fields.String,
"message_files": fields.List(fields.String, attribute="files"),
"message_files": fields.List(fields.String),
}
message_fields = {
@ -58,7 +58,7 @@ class MessageListApi(Resource):
"inputs": fields.Raw,
"query": fields.String,
"answer": fields.String(attribute="re_sign_file_url_answer"),
"message_files": fields.List(fields.Nested(message_file_fields), attribute="files"),
"message_files": fields.List(fields.Nested(message_file_fields)),
"feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True),
"retriever_resources": fields.List(fields.Nested(retriever_resource_fields)),
"created_at": TimestampField,

View File

@ -1,3 +1,5 @@
import urllib.parse
from flask import request
from flask_restful import marshal_with
@ -5,7 +7,8 @@ import services
from controllers.web import api
from controllers.web.error import FileTooLargeError, NoFileUploadedError, TooManyFilesError, UnsupportedFileTypeError
from controllers.web.wraps import WebApiResource
from fields.file_fields import file_fields
from core.helper import ssrf_proxy
from fields.file_fields import file_fields, remote_file_info_fields
from services.file_service import FileService
@ -31,4 +34,19 @@ class FileApi(WebApiResource):
return upload_file, 201
class RemoteFileInfoApi(WebApiResource):
@marshal_with(remote_file_info_fields)
def get(self, url):
decoded_url = urllib.parse.unquote(url)
try:
response = ssrf_proxy.head(decoded_url)
return {
"file_type": response.headers.get("Content-Type", "application/octet-stream"),
"file_length": int(response.headers.get("Content-Length", 0)),
}
except Exception as e:
return {"error": str(e)}, 400
api.add_resource(FileApi, "/files/upload")
api.add_resource(RemoteFileInfoApi, "/remote-files/<path:url>")

View File

@ -22,6 +22,7 @@ from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotIni
from core.model_runtime.errors.invoke import InvokeError
from fields.conversation_fields import message_file_fields
from fields.message_fields import agent_thought_fields
from fields.raws import FilesContainedField
from libs import helper
from libs.helper import TimestampField, uuid_value
from models.model import AppMode
@ -58,10 +59,10 @@ class MessageListApi(WebApiResource):
"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), attribute="files"),
"message_files": fields.List(fields.Nested(message_file_fields)),
"feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True),
"retriever_resources": fields.List(fields.Nested(retriever_resource_fields)),
"created_at": TimestampField,

View File

@ -17,7 +17,7 @@ message_fields = {
"inputs": fields.Raw,
"query": fields.String,
"answer": fields.String,
"message_files": fields.List(fields.Nested(message_file_fields), attribute="files"),
"message_files": fields.List(fields.Nested(message_file_fields)),
"feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True),
"created_at": TimestampField,
}

View File

@ -16,13 +16,14 @@ from core.app.entities.app_invoke_entities import (
)
from core.callback_handler.agent_tool_callback_handler import DifyAgentCallbackHandler
from core.callback_handler.index_tool_callback_handler import DatasetIndexToolCallbackHandler
from core.file.message_file_parser import MessageFileParser
from core.file import file_manager
from core.memory.token_buffer_memory import TokenBufferMemory
from core.model_manager import ModelInstance
from core.model_runtime.entities.llm_entities import LLMUsage
from core.model_runtime.entities.message_entities import (
from core.model_runtime.entities import (
AssistantPromptMessage,
LLMUsage,
PromptMessage,
PromptMessageContent,
PromptMessageTool,
SystemPromptMessage,
TextPromptMessageContent,
@ -40,9 +41,9 @@ from core.tools.entities.tool_entities import (
from core.tools.tool.dataset_retriever_tool import DatasetRetrieverTool
from core.tools.tool.tool import Tool
from core.tools.tool_manager import ToolManager
from core.tools.utils.tool_parameter_converter import ToolParameterConverter
from extensions.ext_database import db
from models.model import Conversation, Message, MessageAgentThought
from factories import file_factory
from models.model import Conversation, Message, MessageAgentThought, MessageFile
from models.tools import ToolConversationVariables
logger = logging.getLogger(__name__)
@ -66,23 +67,6 @@ class BaseAgentRunner(AppRunner):
db_variables: Optional[ToolConversationVariables] = None,
model_instance: ModelInstance = None,
) -> None:
"""
Agent runner
:param tenant_id: tenant id
:param application_generate_entity: application generate entity
:param conversation: conversation
:param app_config: app generate entity
:param model_config: model config
:param config: dataset config
:param queue_manager: queue manager
:param message: message
:param user_id: user id
:param memory: memory
:param prompt_messages: prompt messages
:param variables_pool: variables pool
:param db_variables: db variables
:param model_instance: model instance
"""
self.tenant_id = tenant_id
self.application_generate_entity = application_generate_entity
self.conversation = conversation
@ -180,7 +164,7 @@ class BaseAgentRunner(AppRunner):
if parameter.form != ToolParameter.ToolParameterForm.LLM:
continue
parameter_type = ToolParameterConverter.get_parameter_type(parameter.type)
parameter_type = parameter.type.as_normal_type()
enum = []
if parameter.type == ToolParameter.ToolParameterType.SELECT:
enum = [option.value for option in parameter.options]
@ -265,7 +249,7 @@ class BaseAgentRunner(AppRunner):
if parameter.form != ToolParameter.ToolParameterForm.LLM:
continue
parameter_type = ToolParameterConverter.get_parameter_type(parameter.type)
parameter_type = parameter.type.as_normal_type()
enum = []
if parameter.type == ToolParameter.ToolParameterType.SELECT:
enum = [option.value for option in parameter.options]
@ -511,26 +495,24 @@ class BaseAgentRunner(AppRunner):
return result
def organize_agent_user_prompt(self, message: Message) -> UserPromptMessage:
message_file_parser = MessageFileParser(
tenant_id=self.tenant_id,
app_id=self.app_config.app_id,
)
files = message.message_files
files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
if files:
file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
if file_extra_config:
file_objs = message_file_parser.transform_message_files(files, 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 = [TextPromptMessageContent(data=message.query)]
prompt_message_contents: list[PromptMessageContent] = []
prompt_message_contents.append(TextPromptMessageContent(data=message.query))
for file_obj in file_objs:
prompt_message_contents.append(file_obj.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
return UserPromptMessage(content=prompt_message_contents)
else:

View File

@ -1,9 +1,11 @@
import json
from core.agent.cot_agent_runner import CotAgentRunner
from core.model_runtime.entities.message_entities import (
from core.file import file_manager
from core.model_runtime.entities import (
AssistantPromptMessage,
PromptMessage,
PromptMessageContent,
SystemPromptMessage,
TextPromptMessageContent,
UserPromptMessage,
@ -32,9 +34,10 @@ class CotChatAgentRunner(CotAgentRunner):
Organize user query
"""
if self.files:
prompt_message_contents = [TextPromptMessageContent(data=query)]
prompt_message_contents: list[PromptMessageContent] = []
prompt_message_contents.append(TextPromptMessageContent(data=query))
for file_obj in self.files:
prompt_message_contents.append(file_obj.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
else:

View File

@ -7,10 +7,15 @@ from typing import Any, Optional, Union
from core.agent.base_agent_runner import BaseAgentRunner
from core.app.apps.base_app_queue_manager import PublishFrom
from core.app.entities.queue_entities import QueueAgentThoughtEvent, QueueMessageEndEvent, QueueMessageFileEvent
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from core.model_runtime.entities.message_entities import (
from core.file import file_manager
from core.model_runtime.entities import (
AssistantPromptMessage,
LLMResult,
LLMResultChunk,
LLMResultChunkDelta,
LLMUsage,
PromptMessage,
PromptMessageContent,
PromptMessageContentType,
SystemPromptMessage,
TextPromptMessageContent,
@ -390,9 +395,10 @@ class FunctionCallAgentRunner(BaseAgentRunner):
Organize user query
"""
if self.files:
prompt_message_contents = [TextPromptMessageContent(data=query)]
prompt_message_contents: list[PromptMessageContent] = []
prompt_message_contents.append(TextPromptMessageContent(data=query))
for file_obj in self.files:
prompt_message_contents.append(file_obj.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file_obj))
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
else:

View File

@ -53,12 +53,11 @@ class BasicVariablesConfigManager:
VariableEntity(
type=variable_type,
variable=variable.get("variable"),
description=variable.get("description"),
description=variable.get("description", ""),
label=variable.get("label"),
required=variable.get("required", False),
max_length=variable.get("max_length"),
options=variable.get("options"),
default=variable.get("default"),
options=variable.get("options", []),
)
)

View File

@ -1,11 +1,12 @@
from collections.abc import Sequence
from enum import Enum
from typing import Any, Optional
from pydantic import BaseModel
from pydantic import BaseModel, Field
from core.file.file_obj import FileExtraConfig
from core.file import FileExtraConfig, FileTransferMethod, FileType
from core.model_runtime.entities.message_entities import PromptMessageRole
from models import AppMode
from models.model import AppMode
class ModelConfigEntity(BaseModel):
@ -69,7 +70,7 @@ class PromptTemplateEntity(BaseModel):
ADVANCED = "advanced"
@classmethod
def value_of(cls, value: str) -> "PromptType":
def value_of(cls, value: str):
"""
Get value of given mode.
@ -93,6 +94,8 @@ class VariableEntityType(str, Enum):
PARAGRAPH = "paragraph"
NUMBER = "number"
EXTERNAL_DATA_TOOL = "external_data_tool"
FILE = "file"
FILE_LIST = "file-list"
class VariableEntity(BaseModel):
@ -102,13 +105,14 @@ class VariableEntity(BaseModel):
variable: str
label: str
description: Optional[str] = None
description: str = ""
type: VariableEntityType
required: bool = False
max_length: Optional[int] = None
options: Optional[list[str]] = None
default: Optional[str] = None
hint: Optional[str] = None
options: Sequence[str] = Field(default_factory=list)
allowed_file_types: Sequence[FileType] = Field(default_factory=list)
allowed_file_extensions: Sequence[str] = Field(default_factory=list)
allowed_file_upload_methods: Sequence[FileTransferMethod] = Field(default_factory=list)
class ExternalDataVariableEntity(BaseModel):
@ -136,7 +140,7 @@ class DatasetRetrieveConfigEntity(BaseModel):
MULTIPLE = "multiple"
@classmethod
def value_of(cls, value: str) -> "RetrieveStrategy":
def value_of(cls, value: str):
"""
Get value of given mode.

View File

@ -1,12 +1,13 @@
from collections.abc import Mapping
from typing import Any, Optional
from typing import Any
from core.file.file_obj import FileExtraConfig
from core.file.models import FileExtraConfig
from models import FileUploadConfig
class FileUploadConfigManager:
@classmethod
def convert(cls, config: Mapping[str, Any], is_vision: bool = True) -> Optional[FileExtraConfig]:
def convert(cls, config: Mapping[str, Any], is_vision: bool = True):
"""
Convert model config to model config
@ -15,19 +16,18 @@ class FileUploadConfigManager:
"""
file_upload_dict = config.get("file_upload")
if file_upload_dict:
if file_upload_dict.get("image"):
if "enabled" in file_upload_dict["image"] and file_upload_dict["image"]["enabled"]:
image_config = {
"number_limits": file_upload_dict["image"]["number_limits"],
"transfer_methods": file_upload_dict["image"]["transfer_methods"],
if file_upload_dict.get("enabled"):
data = {
"image_config": {
"number_limits": file_upload_dict["number_limits"],
"transfer_methods": file_upload_dict["allowed_file_upload_methods"],
}
}
if is_vision:
image_config["detail"] = file_upload_dict["image"]["detail"]
if is_vision:
data["image_config"]["detail"] = file_upload_dict.get("image", {}).get("detail", "low")
return FileExtraConfig(image_config=image_config)
return None
return FileExtraConfig.model_validate(data)
@classmethod
def validate_and_set_defaults(cls, config: dict, is_vision: bool = True) -> tuple[dict, list[str]]:
@ -39,29 +39,7 @@ class FileUploadConfigManager:
"""
if not config.get("file_upload"):
config["file_upload"] = {}
if not isinstance(config["file_upload"], dict):
raise ValueError("file_upload must be of dict type")
# check image config
if not config["file_upload"].get("image"):
config["file_upload"]["image"] = {"enabled": False}
if config["file_upload"]["image"]["enabled"]:
number_limits = config["file_upload"]["image"]["number_limits"]
if number_limits < 1 or number_limits > 6:
raise ValueError("number_limits must be in [1, 6]")
if is_vision:
detail = config["file_upload"]["image"]["detail"]
if detail not in {"high", "low"}:
raise ValueError("detail must be in ['high', 'low']")
transfer_methods = config["file_upload"]["image"]["transfer_methods"]
if not isinstance(transfer_methods, list):
raise ValueError("transfer_methods must be of list type")
for method in transfer_methods:
if method not in {"remote_url", "local_file"}:
raise ValueError("transfer_methods must be in ['remote_url', 'local_file']")
else:
FileUploadConfig.model_validate(config["file_upload"])
return config, ["file_upload"]

View File

@ -17,6 +17,6 @@ class WorkflowVariablesConfigManager:
# variables
for variable in user_input_form:
variables.append(VariableEntity(**variable))
variables.append(VariableEntity.model_validate(variable))
return variables

View File

@ -21,11 +21,12 @@ from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom
from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotAppStreamResponse
from core.file.message_file_parser import MessageFileParser
from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
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
@ -96,10 +97,16 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
# parse files
files = args["files"] if args.get("files") else []
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
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 = message_file_parser.validate_and_transform_files_arg(files, file_extra_config, user)
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:
file_objs = []
@ -107,8 +114,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
app_config = AdvancedChatAppConfigManager.get_app_config(app_model=app_model, workflow=workflow)
# get tracing instance
user_id = user.id if isinstance(user, Account) else user.session_id
trace_manager = TraceQueueManager(app_model.id, user_id)
trace_manager = TraceQueueManager(
app_id=app_model.id, user_id=user.id if isinstance(user, Account) else user.session_id
)
if invoke_from == InvokeFrom.DEBUGGER:
# always enable retriever resource in debugger mode
@ -120,7 +128,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
task_id=str(uuid.uuid4()),
app_config=app_config,
conversation_id=conversation.id if conversation else None,
inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config),
inputs=conversation.inputs
if conversation
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
query=query,
files=file_objs,
parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,

View File

@ -1,31 +1,27 @@
import logging
import os
from collections.abc import Mapping
from typing import Any, cast
from sqlalchemy import select
from sqlalchemy.orm import Session
from configs import dify_config
from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfig
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.apps.workflow_app_runner import WorkflowBasedAppRunner
from core.app.apps.workflow_logging_callback import WorkflowLoggingCallback
from core.app.entities.app_invoke_entities import (
AdvancedChatAppGenerateEntity,
InvokeFrom,
)
from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom
from core.app.entities.queue_entities import (
QueueAnnotationReplyEvent,
QueueStopEvent,
QueueTextChunkEvent,
)
from core.moderation.base import ModerationError
from core.workflow.callbacks.base_workflow_callback import WorkflowCallback
from core.workflow.entities.node_entities import UserFrom
from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.enums import SystemVariableKey
from core.workflow.workflow_entry import WorkflowEntry
from extensions.ext_database import db
from models.enums import UserFrom
from models.model import App, Conversation, EndUser, Message
from models.workflow import ConversationVariable, WorkflowType
@ -44,12 +40,6 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
conversation: Conversation,
message: Message,
) -> None:
"""
:param application_generate_entity: application generate entity
:param queue_manager: application queue manager
:param conversation: conversation
:param message: message
"""
super().__init__(queue_manager)
self.application_generate_entity = application_generate_entity
@ -57,10 +47,6 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
self.message = message
def run(self) -> None:
"""
Run application
:return:
"""
app_config = self.application_generate_entity.app_config
app_config = cast(AdvancedChatAppConfig, app_config)
@ -81,7 +67,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
user_id = self.application_generate_entity.user_id
workflow_callbacks: list[WorkflowCallback] = []
if bool(os.environ.get("DEBUG", "False").lower() == "true"):
if dify_config.DEBUG:
workflow_callbacks.append(WorkflowLoggingCallback())
if self.application_generate_entity.single_iteration_run:
@ -201,15 +187,6 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
query: str,
message_id: str,
) -> bool:
"""
Handle input moderation
:param app_record: app record
:param app_generate_entity: application generate entity
:param inputs: inputs
:param query: query
:param message_id: message id
:return:
"""
try:
# process sensitive_word_avoidance
_, inputs, query = self.moderation_for_inputs(
@ -229,14 +206,6 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
def handle_annotation_reply(
self, app_record: App, message: Message, query: str, app_generate_entity: AdvancedChatAppGenerateEntity
) -> bool:
"""
Handle annotation reply
:param app_record: app record
:param message: message
:param query: query
:param app_generate_entity: application generate entity
"""
# annotation reply
annotation_reply = self.query_app_annotations_to_reply(
app_record=app_record,
message=message,
@ -258,8 +227,6 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
def _complete_with_stream_output(self, text: str, stopped_by: QueueStopEvent.StopBy) -> None:
"""
Direct output
:param text: text
:return:
"""
self._publish_event(QueueTextChunkEvent(text=text))

View File

@ -1,7 +1,7 @@
import json
import logging
import time
from collections.abc import Generator
from collections.abc import Generator, Mapping
from typing import Any, Optional, Union
from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
@ -9,6 +9,7 @@ from core.app.apps.advanced_chat.app_generator_tts_publisher import AppGenerator
from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
from core.app.entities.app_invoke_entities import (
AdvancedChatAppGenerateEntity,
InvokeFrom,
)
from core.app.entities.queue_entities import (
QueueAdvancedChatMessageEndEvent,
@ -50,10 +51,12 @@ from core.model_runtime.utils.encoders import jsonable_encoder
from core.ops.ops_trace_manager import TraceQueueManager
from core.workflow.enums import SystemVariableKey
from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
from core.workflow.nodes import NodeType
from events.message_event import message_was_created
from extensions.ext_database import db
from models import Conversation, EndUser, Message, MessageFile
from models.account import Account
from models.model import Conversation, EndUser, Message
from models.enums import CreatedByRole
from models.workflow import (
Workflow,
WorkflowNodeExecution,
@ -120,6 +123,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
self._wip_workflow_node_executions = {}
self._conversation_name_generate_thread = None
self._recorded_files: list[Mapping[str, Any]] = []
def process(self):
"""
@ -298,6 +302,10 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
elif isinstance(event, QueueNodeSucceededEvent):
workflow_node_execution = self._handle_workflow_node_execution_success(event)
# Record files if it's an answer node or end node
if event.node_type in [NodeType.ANSWER, NodeType.END]:
self._recorded_files.extend(self._fetch_files_from_node_outputs(event.outputs or {}))
response = self._workflow_node_finish_to_stream_response(
event=event,
task_id=self._application_generate_entity.task_id,
@ -364,7 +372,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
start_at=graph_runtime_state.start_at,
total_tokens=graph_runtime_state.total_tokens,
total_steps=graph_runtime_state.node_run_steps,
outputs=json.dumps(event.outputs) if event.outputs else None,
outputs=event.outputs,
conversation_id=self._conversation.id,
trace_manager=trace_manager,
)
@ -490,10 +498,6 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
self._conversation_name_generate_thread.join()
def _save_message(self, graph_runtime_state: Optional[GraphRuntimeState] = None) -> None:
"""
Save message.
:return:
"""
self._refetch_message()
self._message.answer = self._task_state.answer
@ -501,6 +505,22 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
self._message.message_metadata = (
json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None
)
message_files = [
MessageFile(
message_id=self._message.id,
type=file["type"],
transfer_method=file["transfer_method"],
url=file["remote_url"],
belongs_to="assistant",
upload_file_id=file["related_id"],
created_by_role=CreatedByRole.ACCOUNT
if self._message.invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER}
else CreatedByRole.END_USER,
created_by=self._message.from_account_id or self._message.from_end_user_id or "",
)
for file in self._recorded_files
]
db.session.add_all(message_files)
if graph_runtime_state and graph_runtime_state.llm_usage:
usage = graph_runtime_state.llm_usage
@ -540,7 +560,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
del extras["metadata"]["annotation_reply"]
return MessageEndStreamResponse(
task_id=self._application_generate_entity.task_id, id=self._message.id, **extras
task_id=self._application_generate_entity.task_id, id=self._message.id, files=self._recorded_files, **extras
)
def _handle_output_moderation_chunk(self, text: str) -> bool:

View File

@ -18,12 +18,12 @@ from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskSt
from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity, InvokeFrom
from core.file.message_file_parser import MessageFileParser
from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
from core.ops.ops_trace_manager import TraceQueueManager
from extensions.ext_database import db
from models.account import Account
from models.model import App, EndUser
from factories import file_factory
from models import Account, App, EndUser
from models.enums import CreatedByRole
logger = logging.getLogger(__name__)
@ -50,7 +50,12 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
) -> dict: ...
def generate(
self, app_model: App, user: Union[Account, EndUser], args: Any, invoke_from: InvokeFrom, stream: bool = True
self,
app_model: App,
user: Union[Account, EndUser],
args: Any,
invoke_from: InvokeFrom,
stream: bool = True,
) -> Union[dict, Generator[dict, None, None]]:
"""
Generate App response.
@ -98,12 +103,19 @@ 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["files"] if args.get("files") else []
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
files = args.get("files") or []
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
if file_extra_config:
file_objs = message_file_parser.validate_and_transform_files_arg(files, file_extra_config, user)
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:
file_objs = []
@ -116,8 +128,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
)
# get tracing instance
user_id = user.id if isinstance(user, Account) else user.session_id
trace_manager = TraceQueueManager(app_model.id, user_id)
trace_manager = TraceQueueManager(app_model.id, user.id if isinstance(user, Account) else user.session_id)
# init application generate entity
application_generate_entity = AgentChatAppGenerateEntity(
@ -125,7 +136,9 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
app_config=app_config,
model_conf=ModelConfigConverter.convert(app_config),
conversation_id=conversation.id if conversation else None,
inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config),
inputs=conversation.inputs
if conversation
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
query=query,
files=file_objs,
parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,

View File

@ -1,35 +1,92 @@
from collections.abc import Mapping
from typing import Any, Optional
from typing import TYPE_CHECKING, Any, Optional
from core.app.app_config.entities import AppConfig, VariableEntity, VariableEntityType
from core.app.app_config.entities import VariableEntityType
from core.file import File, FileExtraConfig
from factories import file_factory
if TYPE_CHECKING:
from core.app.app_config.entities import AppConfig, VariableEntity
from models.enums import CreatedByRole
class BaseAppGenerator:
def _get_cleaned_inputs(self, user_inputs: Optional[Mapping[str, Any]], app_config: AppConfig) -> Mapping[str, Any]:
def _prepare_user_inputs(
self,
*,
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
variables = app_config.variables
filtered_inputs = {var.variable: self._validate_input(inputs=user_inputs, var=var) for var in variables}
filtered_inputs = {k: self._sanitize_value(v) for k, v in filtered_inputs.items()}
return filtered_inputs
user_inputs = {var.variable: self._validate_input(inputs=user_inputs, var=var) for var in variables}
user_inputs = {k: self._sanitize_value(v) for k, v in user_inputs.items()}
# Convert files in inputs to File
entity_dictionary = {item.variable: item for item in app_config.variables}
# Convert single file to File
files_inputs = {
k: file_factory.build_from_mapping(
mapping=v,
tenant_id=app_config.tenant_id,
user_id=user_id,
role=role,
config=FileExtraConfig(
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,
),
)
for k, v in user_inputs.items()
if isinstance(v, dict) and entity_dictionary[k].type == VariableEntityType.FILE
}
# Convert list of files to File
file_list_inputs = {
k: file_factory.build_from_mappings(
mappings=v,
tenant_id=app_config.tenant_id,
user_id=user_id,
role=role,
config=FileExtraConfig(
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,
),
)
for k, v in user_inputs.items()
if isinstance(v, list)
# Ensure skip List<File>
and all(isinstance(item, dict) for item in v)
and entity_dictionary[k].type == VariableEntityType.FILE_LIST
}
# Merge all inputs
user_inputs = {**user_inputs, **files_inputs, **file_list_inputs}
def _validate_input(self, *, inputs: Mapping[str, Any], var: VariableEntity):
user_input_value = inputs.get(var.variable)
if var.required and not user_input_value:
raise ValueError(f"{var.variable} is required in input form")
if not var.required and not user_input_value:
# TODO: should we return None here if the default value is None?
return var.default or ""
if (
var.type
in {
VariableEntityType.TEXT_INPUT,
VariableEntityType.SELECT,
VariableEntityType.PARAGRAPH,
}
and user_input_value
and not isinstance(user_input_value, str)
# Check if all files are converted to File
if any(filter(lambda v: isinstance(v, dict), user_inputs.values())):
raise ValueError("Invalid input type")
if any(
filter(lambda v: isinstance(v, dict), filter(lambda item: isinstance(item, list), user_inputs.values()))
):
raise ValueError("Invalid input type")
return user_inputs
def _validate_input(self, *, inputs: Mapping[str, Any], var: "VariableEntity"):
user_input_value = inputs.get(var.variable)
if not user_input_value:
if var.required:
raise ValueError(f"{var.variable} is required in input form")
else:
return None
if var.type in {
VariableEntityType.TEXT_INPUT,
VariableEntityType.SELECT,
VariableEntityType.PARAGRAPH,
} and not isinstance(user_input_value, str):
raise ValueError(f"(type '{var.type}') {var.variable} in input form must be a string")
if var.type == VariableEntityType.NUMBER and isinstance(user_input_value, str):
# may raise ValueError if user_input_value is not a valid number
@ -41,12 +98,24 @@ class BaseAppGenerator:
except ValueError:
raise ValueError(f"{var.variable} in input form must be a valid number")
if var.type == VariableEntityType.SELECT:
options = var.options or []
options = var.options
if user_input_value not in options:
raise ValueError(f"{var.variable} in input form must be one of the following: {options}")
elif var.type in {VariableEntityType.TEXT_INPUT, VariableEntityType.PARAGRAPH}:
if var.max_length and user_input_value and len(user_input_value) > var.max_length:
if var.max_length and len(user_input_value) > var.max_length:
raise ValueError(f"{var.variable} in input form must be less than {var.max_length} characters")
elif var.type == VariableEntityType.FILE:
if not isinstance(user_input_value, dict) and not isinstance(user_input_value, File):
raise ValueError(f"{var.variable} in input form must be a file")
elif var.type == VariableEntityType.FILE_LIST:
if not (
isinstance(user_input_value, list)
and (
all(isinstance(item, dict) for item in user_input_value)
or all(isinstance(item, File) for item in user_input_value)
)
):
raise ValueError(f"{var.variable} in input form must be a list of files")
return user_input_value

View File

@ -27,7 +27,7 @@ from core.prompt.simple_prompt_transform import ModelMode, SimplePromptTransform
from models.model import App, AppMode, Message, MessageAnnotation
if TYPE_CHECKING:
from core.file.file_obj import FileVar
from core.file.models import File
class AppRunner:
@ -37,7 +37,7 @@ class AppRunner:
model_config: ModelConfigWithCredentialsEntity,
prompt_template_entity: PromptTemplateEntity,
inputs: dict[str, str],
files: list["FileVar"],
files: list["File"],
query: Optional[str] = None,
) -> int:
"""
@ -137,7 +137,7 @@ class AppRunner:
model_config: ModelConfigWithCredentialsEntity,
prompt_template_entity: PromptTemplateEntity,
inputs: dict[str, str],
files: list["FileVar"],
files: list["File"],
query: Optional[str] = None,
context: Optional[str] = None,
memory: Optional[TokenBufferMemory] = None,

View File

@ -18,11 +18,12 @@ from core.app.apps.chat.generate_response_converter import ChatAppGenerateRespon
from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
from core.app.entities.app_invoke_entities import ChatAppGenerateEntity, InvokeFrom
from core.file.message_file_parser import MessageFileParser
from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
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__)
@ -100,12 +101,19 @@ 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 []
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
if file_extra_config:
file_objs = message_file_parser.validate_and_transform_files_arg(files, file_extra_config, user)
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:
file_objs = []
@ -118,7 +126,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
)
# get tracing instance
trace_manager = TraceQueueManager(app_model.id)
trace_manager = TraceQueueManager(app_id=app_model.id)
# init application generate entity
application_generate_entity = ChatAppGenerateEntity(
@ -126,15 +134,17 @@ class ChatAppGenerator(MessageBasedAppGenerator):
app_config=app_config,
model_conf=ModelConfigConverter.convert(app_config),
conversation_id=conversation.id if conversation else None,
inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config),
inputs=conversation.inputs
if conversation
else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
query=query,
files=file_objs,
parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
user_id=user.id,
stream=stream,
invoke_from=invoke_from,
extras=extras,
trace_manager=trace_manager,
stream=stream,
)
# init generate records

View File

@ -17,12 +17,12 @@ from core.app.apps.completion.generate_response_converter import CompletionAppGe
from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
from core.app.entities.app_invoke_entities import CompletionAppGenerateEntity, InvokeFrom
from core.file.message_file_parser import MessageFileParser
from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
from core.ops.ops_trace_manager import TraceQueueManager
from extensions.ext_database import db
from models.account import Account
from models.model import App, EndUser, Message
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
@ -88,12 +88,19 @@ 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 []
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
if file_extra_config:
file_objs = message_file_parser.validate_and_transform_files_arg(files, file_extra_config, user)
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:
file_objs = []
@ -103,6 +110,7 @@ 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
@ -110,7 +118,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
task_id=str(uuid.uuid4()),
app_config=app_config,
model_conf=ModelConfigConverter.convert(app_config),
inputs=self._get_cleaned_inputs(inputs, app_config),
inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
query=query,
files=file_objs,
user_id=user.id,
@ -251,10 +259,16 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
override_model_config_dict["model"] = model_dict
# parse files
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
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 = message_file_parser.validate_and_transform_files_arg(message.files, file_extra_config, user)
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:
file_objs = []

View File

@ -26,7 +26,7 @@ from core.app.entities.task_entities import (
from core.app.task_pipeline.easy_ui_based_generate_task_pipeline import EasyUIBasedGenerateTaskPipeline
from core.prompt.utils.prompt_template_parser import PromptTemplateParser
from extensions.ext_database import db
from models.account import Account
from models import Account
from models.model import App, AppMode, AppModelConfig, Conversation, EndUser, Message, MessageFile
from services.errors.app_model_config import AppModelConfigBrokenError
from services.errors.conversation import ConversationCompletedError, ConversationNotExistsError
@ -235,13 +235,13 @@ class MessageBasedAppGenerator(BaseAppGenerator):
for file in application_generate_entity.files:
message_file = MessageFile(
message_id=message.id,
type=file.type.value,
transfer_method=file.transfer_method.value,
type=file.type,
transfer_method=file.transfer_method,
belongs_to="user",
url=file.url,
url=file.remote_url,
upload_file_id=file.related_id,
created_by_role=("account" if account_id else "end_user"),
created_by=account_id or end_user_id,
created_by=account_id or end_user_id or "",
)
db.session.add(message_file)
db.session.commit()

View File

@ -3,7 +3,7 @@ import logging
import os
import threading
import uuid
from collections.abc import Generator
from collections.abc import Generator, Mapping, Sequence
from typing import Any, Literal, Optional, Union, overload
from flask import Flask, current_app
@ -20,13 +20,12 @@ from core.app.apps.workflow.generate_response_converter import WorkflowAppGenera
from core.app.apps.workflow.generate_task_pipeline import WorkflowAppGenerateTaskPipeline
from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerateEntity
from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
from core.file.message_file_parser import MessageFileParser
from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
from core.ops.ops_trace_manager import TraceQueueManager
from extensions.ext_database import db
from models.account import Account
from models.model import App, EndUser
from models.workflow import Workflow
from factories import file_factory
from models import Account, App, EndUser, Workflow
from models.enums import CreatedByRole
logger = logging.getLogger(__name__)
@ -63,49 +62,46 @@ class WorkflowAppGenerator(BaseAppGenerator):
app_model: App,
workflow: Workflow,
user: Union[Account, EndUser],
args: dict,
args: Mapping[str, Any],
invoke_from: InvokeFrom,
stream: bool = True,
call_depth: int = 0,
workflow_thread_pool_id: Optional[str] = None,
):
"""
Generate App response.
files: Sequence[Mapping[str, Any]] = args.get("files") or []
:param app_model: App
:param workflow: Workflow
:param user: account or end user
:param args: request args
:param invoke_from: invoke from source
:param stream: is stream
:param call_depth: call depth
:param workflow_thread_pool_id: workflow thread pool id
"""
inputs = args["inputs"]
role = CreatedByRole.ACCOUNT if isinstance(user, Account) else CreatedByRole.END_USER
# parse files
files = args["files"] if args.get("files") else []
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
if file_extra_config:
file_objs = message_file_parser.validate_and_transform_files_arg(files, file_extra_config, user)
else:
file_objs = []
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,
)
# convert to app config
app_config = WorkflowAppConfigManager.get_app_config(app_model=app_model, workflow=workflow)
app_config = WorkflowAppConfigManager.get_app_config(
app_model=app_model,
workflow=workflow,
)
# get tracing instance
user_id = user.id if isinstance(user, Account) else user.session_id
trace_manager = TraceQueueManager(app_model.id, user_id)
trace_manager = TraceQueueManager(
app_id=app_model.id,
user_id=user.id if isinstance(user, Account) else user.session_id,
)
inputs: Mapping[str, Any] = args["inputs"]
workflow_run_id = str(uuid.uuid4())
# init application generate entity
application_generate_entity = WorkflowAppGenerateEntity(
task_id=str(uuid.uuid4()),
app_config=app_config,
inputs=self._get_cleaned_inputs(inputs, app_config),
files=file_objs,
inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config, user_id=user.id, role=role),
files=system_files,
user_id=user.id,
stream=stream,
invoke_from=invoke_from,

View File

@ -1,21 +1,20 @@
import logging
import os
from typing import Optional, cast
from configs import dify_config
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.apps.workflow.app_config_manager import WorkflowAppConfig
from core.app.apps.workflow_app_runner import WorkflowBasedAppRunner
from core.app.apps.workflow_logging_callback import WorkflowLoggingCallback
from core.app.entities.app_invoke_entities import (
InvokeFrom,
WorkflowAppGenerateEntity,
)
from core.workflow.callbacks.base_workflow_callback import WorkflowCallback
from core.workflow.entities.node_entities import UserFrom
from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.enums import SystemVariableKey
from core.workflow.workflow_entry import WorkflowEntry
from extensions.ext_database import db
from models.enums import UserFrom
from models.model import App, EndUser
from models.workflow import WorkflowType
@ -71,7 +70,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
db.session.close()
workflow_callbacks: list[WorkflowCallback] = []
if bool(os.environ.get("DEBUG", "False").lower() == "true"):
if dify_config.DEBUG:
workflow_callbacks.append(WorkflowLoggingCallback())
# if only single iteration run is requested

View File

@ -1,4 +1,3 @@
import json
import logging
import time
from collections.abc import Generator
@ -334,9 +333,7 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
start_at=graph_runtime_state.start_at,
total_tokens=graph_runtime_state.total_tokens,
total_steps=graph_runtime_state.node_run_steps,
outputs=json.dumps(event.outputs)
if isinstance(event, QueueWorkflowSucceededEvent) and event.outputs
else None,
outputs=event.outputs,
conversation_id=None,
trace_manager=trace_manager,
)

View File

@ -20,7 +20,6 @@ from core.app.entities.queue_entities import (
QueueWorkflowStartedEvent,
QueueWorkflowSucceededEvent,
)
from core.workflow.entities.node_entities import NodeType
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.graph_engine.entities.event import (
GraphEngineEvent,
@ -41,9 +40,9 @@ from core.workflow.graph_engine.entities.event import (
ParallelBranchRunSucceededEvent,
)
from core.workflow.graph_engine.entities.graph import Graph
from core.workflow.nodes.base_node import BaseNode
from core.workflow.nodes.iteration.entities import IterationNodeData
from core.workflow.nodes.node_mapping import node_classes
from core.workflow.nodes import NodeType
from core.workflow.nodes.iteration import IterationNodeData
from core.workflow.nodes.node_mapping import node_type_classes_mapping
from core.workflow.workflow_entry import WorkflowEntry
from extensions.ext_database import db
from models.model import App
@ -137,9 +136,8 @@ class WorkflowBasedAppRunner(AppRunner):
raise ValueError("iteration node id not found in workflow graph")
# Get node class
node_type = NodeType.value_of(iteration_node_config.get("data", {}).get("type"))
node_cls = node_classes.get(node_type)
node_cls = cast(type[BaseNode], node_cls)
node_type = NodeType(iteration_node_config.get("data", {}).get("type"))
node_cls = node_type_classes_mapping[node_type]
# init variable pool
variable_pool = VariablePool(

View File

@ -1,4 +1,4 @@
from collections.abc import Mapping
from collections.abc import Mapping, Sequence
from enum import Enum
from typing import Any, Optional
@ -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.file_obj import FileVar
from core.file.models import File
from core.model_runtime.entities.model_entities import AIModelEntity
from core.ops.ops_trace_manager import TraceQueueManager
@ -23,7 +23,7 @@ class InvokeFrom(Enum):
DEBUGGER = "debugger"
@classmethod
def value_of(cls, value: str) -> "InvokeFrom":
def value_of(cls, value: str):
"""
Get value of given mode.
@ -82,7 +82,7 @@ class AppGenerateEntity(BaseModel):
app_config: AppConfig
inputs: Mapping[str, Any]
files: list[FileVar] = []
files: Sequence[File]
user_id: str
# extras

View File

@ -5,9 +5,10 @@ from typing import Any, Optional
from pydantic import BaseModel, field_validator
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
from core.workflow.entities.base_node_data_entities import BaseNodeData
from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeType
from core.workflow.entities.node_entities import NodeRunMetadataKey
from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
from core.workflow.nodes import NodeType
from core.workflow.nodes.base import BaseNodeData
class QueueEvent(str, Enum):

View File

@ -1,3 +1,4 @@
from collections.abc import Mapping, Sequence
from enum import Enum
from typing import Any, Optional
@ -119,6 +120,7 @@ class MessageEndStreamResponse(StreamResponse):
event: StreamEvent = StreamEvent.MESSAGE_END
id: str
metadata: dict = {}
files: Optional[Sequence[Mapping[str, Any]]] = None
class MessageFileStreamResponse(StreamResponse):
@ -211,7 +213,7 @@ class WorkflowFinishStreamResponse(StreamResponse):
created_by: Optional[dict] = None
created_at: int
finished_at: int
files: Optional[list[dict]] = []
files: Optional[Sequence[Mapping[str, Any]]] = []
event: StreamEvent = StreamEvent.WORKFLOW_FINISHED
workflow_run_id: str
@ -296,7 +298,7 @@ class NodeFinishStreamResponse(StreamResponse):
execution_metadata: Optional[dict] = None
created_at: int
finished_at: int
files: Optional[list[dict]] = []
files: Optional[Sequence[Mapping[str, Any]]] = []
parallel_id: Optional[str] = None
parallel_start_node_id: Optional[str] = None
parent_parallel_id: Optional[str] = None

View File

@ -1,18 +0,0 @@
import re
from core.workflow.entities.variable_pool import VariablePool
from . import SegmentGroup, factory
VARIABLE_PATTERN = re.compile(r"\{\{#([a-zA-Z0-9_]{1,50}(?:\.[a-zA-Z_][a-zA-Z0-9_]{0,29}){1,10})#\}\}")
def convert_template(*, template: str, variable_pool: VariablePool):
parts = re.split(VARIABLE_PATTERN, template)
segments = []
for part in filter(lambda x: x, parts):
if "." in part and (value := variable_pool.get(part.split("."))):
segments.append(value)
else:
segments.append(factory.build_segment(part))
return SegmentGroup(value=segments)

View File

@ -1,5 +1,6 @@
import json
import time
from collections.abc import Mapping, Sequence
from datetime import datetime, timezone
from typing import Any, Optional, Union, cast
@ -27,27 +28,26 @@ from core.app.entities.task_entities import (
WorkflowStartStreamResponse,
WorkflowTaskState,
)
from core.file.file_obj import FileVar
from core.file import FILE_MODEL_IDENTITY, File
from core.model_runtime.utils.encoders import jsonable_encoder
from core.ops.entities.trace_entity import TraceTaskName
from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
from core.tools.tool_manager import ToolManager
from core.workflow.entities.node_entities import NodeType
from core.workflow.enums import SystemVariableKey
from core.workflow.nodes import NodeType
from core.workflow.nodes.tool.entities import ToolNodeData
from core.workflow.workflow_entry import WorkflowEntry
from extensions.ext_database import db
from models.account import Account
from models.enums import CreatedByRole, WorkflowRunTriggeredFrom
from models.model import EndUser
from models.workflow import (
CreatedByRole,
Workflow,
WorkflowNodeExecution,
WorkflowNodeExecutionStatus,
WorkflowNodeExecutionTriggeredFrom,
WorkflowRun,
WorkflowRunStatus,
WorkflowRunTriggeredFrom,
)
@ -117,7 +117,7 @@ class WorkflowCycleManage:
start_at: float,
total_tokens: int,
total_steps: int,
outputs: Optional[str] = None,
outputs: Mapping[str, Any] | None = None,
conversation_id: Optional[str] = None,
trace_manager: Optional[TraceQueueManager] = None,
) -> WorkflowRun:
@ -133,8 +133,10 @@ class WorkflowCycleManage:
"""
workflow_run = self._refetch_workflow_run(workflow_run.id)
outputs = WorkflowEntry.handle_special_values(outputs)
workflow_run.status = WorkflowRunStatus.SUCCEEDED.value
workflow_run.outputs = outputs
workflow_run.outputs = json.dumps(outputs or {})
workflow_run.elapsed_time = time.perf_counter() - start_at
workflow_run.total_tokens = total_tokens
workflow_run.total_steps = total_steps
@ -265,6 +267,7 @@ class WorkflowCycleManage:
workflow_node_execution = self._refetch_workflow_node_execution(event.node_execution_id)
inputs = WorkflowEntry.handle_special_values(event.inputs)
process_data = WorkflowEntry.handle_special_values(event.process_data)
outputs = WorkflowEntry.handle_special_values(event.outputs)
execution_metadata = (
json.dumps(jsonable_encoder(event.execution_metadata)) if event.execution_metadata else None
@ -276,7 +279,7 @@ class WorkflowCycleManage:
{
WorkflowNodeExecution.status: WorkflowNodeExecutionStatus.SUCCEEDED.value,
WorkflowNodeExecution.inputs: json.dumps(inputs) if inputs else None,
WorkflowNodeExecution.process_data: json.dumps(event.process_data) if event.process_data else None,
WorkflowNodeExecution.process_data: json.dumps(process_data) if event.process_data else None,
WorkflowNodeExecution.outputs: json.dumps(outputs) if outputs else None,
WorkflowNodeExecution.execution_metadata: execution_metadata,
WorkflowNodeExecution.finished_at: finished_at,
@ -286,10 +289,11 @@ class WorkflowCycleManage:
db.session.commit()
db.session.close()
process_data = WorkflowEntry.handle_special_values(event.process_data)
workflow_node_execution.status = WorkflowNodeExecutionStatus.SUCCEEDED.value
workflow_node_execution.inputs = json.dumps(inputs) if inputs else None
workflow_node_execution.process_data = json.dumps(event.process_data) if event.process_data else None
workflow_node_execution.process_data = json.dumps(process_data) if process_data else None
workflow_node_execution.outputs = json.dumps(outputs) if outputs else None
workflow_node_execution.execution_metadata = execution_metadata
workflow_node_execution.finished_at = finished_at
@ -308,6 +312,7 @@ class WorkflowCycleManage:
workflow_node_execution = self._refetch_workflow_node_execution(event.node_execution_id)
inputs = WorkflowEntry.handle_special_values(event.inputs)
process_data = WorkflowEntry.handle_special_values(event.process_data)
outputs = WorkflowEntry.handle_special_values(event.outputs)
finished_at = datetime.now(timezone.utc).replace(tzinfo=None)
elapsed_time = (finished_at - event.start_at).total_seconds()
@ -317,7 +322,7 @@ class WorkflowCycleManage:
WorkflowNodeExecution.status: WorkflowNodeExecutionStatus.FAILED.value,
WorkflowNodeExecution.error: event.error,
WorkflowNodeExecution.inputs: json.dumps(inputs) if inputs else None,
WorkflowNodeExecution.process_data: json.dumps(event.process_data) if event.process_data else None,
WorkflowNodeExecution.process_data: json.dumps(process_data) if event.process_data else None,
WorkflowNodeExecution.outputs: json.dumps(outputs) if outputs else None,
WorkflowNodeExecution.finished_at: finished_at,
WorkflowNodeExecution.elapsed_time: elapsed_time,
@ -326,11 +331,12 @@ class WorkflowCycleManage:
db.session.commit()
db.session.close()
process_data = WorkflowEntry.handle_special_values(event.process_data)
workflow_node_execution.status = WorkflowNodeExecutionStatus.FAILED.value
workflow_node_execution.error = event.error
workflow_node_execution.inputs = json.dumps(inputs) if inputs else None
workflow_node_execution.process_data = json.dumps(event.process_data) if event.process_data else None
workflow_node_execution.process_data = json.dumps(process_data) if process_data else None
workflow_node_execution.outputs = json.dumps(outputs) if outputs else None
workflow_node_execution.finished_at = finished_at
workflow_node_execution.elapsed_time = elapsed_time
@ -637,7 +643,7 @@ class WorkflowCycleManage:
),
)
def _fetch_files_from_node_outputs(self, outputs_dict: dict) -> list[dict]:
def _fetch_files_from_node_outputs(self, outputs_dict: dict) -> Sequence[Mapping[str, Any]]:
"""
Fetch files from node outputs
:param outputs_dict: node outputs dict
@ -646,15 +652,15 @@ class WorkflowCycleManage:
if not outputs_dict:
return []
files = []
for output_var, output_value in outputs_dict.items():
file_vars = self._fetch_files_from_variable_value(output_value)
if file_vars:
files.extend(file_vars)
files = [self._fetch_files_from_variable_value(output_value) for output_value in outputs_dict.values()]
# Remove None
files = [file for file in files if file]
# Flatten list
files = [file for sublist in files for file in sublist]
return files
def _fetch_files_from_variable_value(self, value: Union[dict, list]) -> list[dict]:
def _fetch_files_from_variable_value(self, value: Union[dict, list]) -> Sequence[Mapping[str, Any]]:
"""
Fetch files from variable value
:param value: variable value
@ -666,17 +672,17 @@ class WorkflowCycleManage:
files = []
if isinstance(value, list):
for item in value:
file_var = self._get_file_var_from_value(item)
if file_var:
files.append(file_var)
file = self._get_file_var_from_value(item)
if file:
files.append(file)
elif isinstance(value, dict):
file_var = self._get_file_var_from_value(value)
if file_var:
files.append(file_var)
file = self._get_file_var_from_value(value)
if file:
files.append(file)
return files
def _get_file_var_from_value(self, value: Union[dict, list]) -> Optional[dict]:
def _get_file_var_from_value(self, value: Union[dict, list]) -> Mapping[str, Any] | None:
"""
Get file var from value
:param value: variable value
@ -685,14 +691,11 @@ class WorkflowCycleManage:
if not value:
return None
if isinstance(value, dict):
if "__variant" in value and value["__variant"] == FileVar.__name__:
return value
elif isinstance(value, FileVar):
if isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY:
return value
elif isinstance(value, File):
return value.to_dict()
return None
def _refetch_workflow_run(self, workflow_run_id: str) -> WorkflowRun:
"""
Refetch workflow run

View File

@ -1,29 +0,0 @@
import enum
from typing import Any
from pydantic import BaseModel
class PromptMessageFileType(enum.Enum):
IMAGE = "image"
@staticmethod
def value_of(value):
for member in PromptMessageFileType:
if member.value == value:
return member
raise ValueError(f"No matching enum found for value '{value}'")
class PromptMessageFile(BaseModel):
type: PromptMessageFileType
data: Any = None
class ImagePromptMessageFile(PromptMessageFile):
class DETAIL(enum.Enum):
LOW = "low"
HIGH = "high"
type: PromptMessageFileType = PromptMessageFileType.IMAGE
detail: DETAIL = DETAIL.LOW

View File

@ -0,0 +1,19 @@
from .constants import FILE_MODEL_IDENTITY
from .enums import ArrayFileAttribute, FileAttribute, FileBelongsTo, FileTransferMethod, FileType
from .models import (
File,
FileExtraConfig,
ImageConfig,
)
__all__ = [
"FileType",
"FileExtraConfig",
"FileTransferMethod",
"FileBelongsTo",
"File",
"ImageConfig",
"FileAttribute",
"ArrayFileAttribute",
"FILE_MODEL_IDENTITY",
]

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@ -0,0 +1 @@
FILE_MODEL_IDENTITY = "__dify__file__"

55
api/core/file/enums.py Normal file
View File

@ -0,0 +1,55 @@
from enum import Enum
class FileType(str, Enum):
IMAGE = "image"
DOCUMENT = "document"
AUDIO = "audio"
VIDEO = "video"
CUSTOM = "custom"
@staticmethod
def value_of(value):
for member in FileType:
if member.value == value:
return member
raise ValueError(f"No matching enum found for value '{value}'")
class FileTransferMethod(str, Enum):
REMOTE_URL = "remote_url"
LOCAL_FILE = "local_file"
TOOL_FILE = "tool_file"
@staticmethod
def value_of(value):
for member in FileTransferMethod:
if member.value == value:
return member
raise ValueError(f"No matching enum found for value '{value}'")
class FileBelongsTo(str, Enum):
USER = "user"
ASSISTANT = "assistant"
@staticmethod
def value_of(value):
for member in FileBelongsTo:
if member.value == value:
return member
raise ValueError(f"No matching enum found for value '{value}'")
class FileAttribute(str, Enum):
TYPE = "type"
SIZE = "size"
NAME = "name"
MIME_TYPE = "mime_type"
TRANSFER_METHOD = "transfer_method"
URL = "url"
EXTENSION = "extension"
class ArrayFileAttribute(str, Enum):
LENGTH = "length"

View File

@ -0,0 +1,156 @@
import base64
from configs import dify_config
from core.file import file_repository
from core.helper import ssrf_proxy
from core.model_runtime.entities import AudioPromptMessageContent, ImagePromptMessageContent
from extensions.ext_database import db
from extensions.ext_storage import storage
from . import helpers
from .enums import FileAttribute
from .models import File, FileTransferMethod, FileType
from .tool_file_parser import ToolFileParser
def get_attr(*, file: File, attr: FileAttribute):
match attr:
case FileAttribute.TYPE:
return file.type.value
case FileAttribute.SIZE:
return file.size
case FileAttribute.NAME:
return file.filename
case FileAttribute.MIME_TYPE:
return file.mime_type
case FileAttribute.TRANSFER_METHOD:
return file.transfer_method.value
case FileAttribute.URL:
return file.remote_url
case FileAttribute.EXTENSION:
return file.extension
case _:
raise ValueError(f"Invalid file attribute: {attr}")
def to_prompt_message_content(f: File, /):
"""
Convert a File object to an ImagePromptMessageContent 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.
Args:
file (File): The File object to convert. Must be of type FileType.IMAGE.
Returns:
ImagePromptMessageContent: An object containing the image 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.
"""
match f.type:
case FileType.IMAGE:
if dify_config.MULTIMODAL_SEND_IMAGE_FORMAT == "url":
data = _to_url(f)
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)
case FileType.AUDIO:
encoded_string = _file_to_encoded_string(f)
if f.extension is None:
raise ValueError("Missing file extension")
return AudioPromptMessageContent(data=encoded_string, format=f.extension.lstrip("."))
case _:
raise ValueError(f"file type {f.type} is not supported")
def download(f: File, /):
upload_file = file_repository.get_upload_file(session=db.session(), file=f)
return _download_file_content(upload_file.key)
def _download_file_content(path: str, /):
"""
Download and return the contents of a file as bytes.
This function loads the file from storage and ensures it's in bytes format.
Args:
path (str): The path to the file in storage.
Returns:
bytes: The contents of the file as a bytes object.
Raises:
ValueError: If the loaded file is not a bytes object.
"""
data = storage.load(path, stream=False)
if not isinstance(data, bytes):
raise ValueError(f"file {path} is not a bytes object")
return data
def _get_encoded_string(f: File, /):
match f.transfer_method:
case FileTransferMethod.REMOTE_URL:
response = ssrf_proxy.get(f.remote_url)
response.raise_for_status()
content = response.content
encoded_string = base64.b64encode(content).decode("utf-8")
return encoded_string
case FileTransferMethod.LOCAL_FILE:
upload_file = file_repository.get_upload_file(session=db.session(), file=f)
data = _download_file_content(upload_file.key)
encoded_string = base64.b64encode(data).decode("utf-8")
return encoded_string
case FileTransferMethod.TOOL_FILE:
tool_file = file_repository.get_tool_file(session=db.session(), file=f)
data = _download_file_content(tool_file.file_key)
encoded_string = base64.b64encode(data).decode("utf-8")
return encoded_string
case _:
raise ValueError(f"Unsupported transfer method: {f.transfer_method}")
def _to_base64_data_string(f: File, /):
encoded_string = _get_encoded_string(f)
return f"data:{f.mime_type};base64,{encoded_string}"
def _file_to_encoded_string(f: File, /):
match f.type:
case FileType.IMAGE:
return _to_base64_data_string(f)
case FileType.AUDIO:
return _get_encoded_string(f)
case _:
raise ValueError(f"file type {f.type} is not supported")
def _to_url(f: File, /):
if f.transfer_method == FileTransferMethod.REMOTE_URL:
if f.remote_url is None:
raise ValueError("Missing file remote_url")
return f.remote_url
elif f.transfer_method == FileTransferMethod.LOCAL_FILE:
if f.related_id is None:
raise ValueError("Missing file related_id")
return helpers.get_signed_file_url(upload_file_id=f.related_id)
elif f.transfer_method == FileTransferMethod.TOOL_FILE:
# add sign url
if f.related_id is None or f.extension is None:
raise ValueError("Missing file related_id or extension")
return ToolFileParser.get_tool_file_manager().sign_file(tool_file_id=f.related_id, extension=f.extension)
else:
raise ValueError(f"Unsupported transfer method: {f.transfer_method}")

View File

@ -1,145 +0,0 @@
import enum
from typing import Any, Optional
from pydantic import BaseModel
from core.file.tool_file_parser import ToolFileParser
from core.file.upload_file_parser import UploadFileParser
from core.model_runtime.entities.message_entities import ImagePromptMessageContent
from extensions.ext_database import db
class FileExtraConfig(BaseModel):
"""
File Upload Entity.
"""
image_config: Optional[dict[str, Any]] = None
class FileType(enum.Enum):
IMAGE = "image"
@staticmethod
def value_of(value):
for member in FileType:
if member.value == value:
return member
raise ValueError(f"No matching enum found for value '{value}'")
class FileTransferMethod(enum.Enum):
REMOTE_URL = "remote_url"
LOCAL_FILE = "local_file"
TOOL_FILE = "tool_file"
@staticmethod
def value_of(value):
for member in FileTransferMethod:
if member.value == value:
return member
raise ValueError(f"No matching enum found for value '{value}'")
class FileBelongsTo(enum.Enum):
USER = "user"
ASSISTANT = "assistant"
@staticmethod
def value_of(value):
for member in FileBelongsTo:
if member.value == value:
return member
raise ValueError(f"No matching enum found for value '{value}'")
class FileVar(BaseModel):
id: Optional[str] = None # message file id
tenant_id: str
type: FileType
transfer_method: FileTransferMethod
url: Optional[str] = None # remote url
related_id: Optional[str] = None
extra_config: Optional[FileExtraConfig] = None
filename: Optional[str] = None
extension: Optional[str] = None
mime_type: Optional[str] = None
def to_dict(self) -> dict:
return {
"__variant": self.__class__.__name__,
"tenant_id": self.tenant_id,
"type": self.type.value,
"transfer_method": self.transfer_method.value,
"url": self.preview_url,
"remote_url": self.url,
"related_id": self.related_id,
"filename": self.filename,
"extension": self.extension,
"mime_type": self.mime_type,
}
def to_markdown(self) -> str:
"""
Convert file to markdown
:return:
"""
preview_url = self.preview_url
if self.type == FileType.IMAGE:
text = f'![{self.filename or ""}]({preview_url})'
else:
text = f"[{self.filename or preview_url}]({preview_url})"
return text
@property
def data(self) -> Optional[str]:
"""
Get image data, file signed url or base64 data
depending on config MULTIMODAL_SEND_IMAGE_FORMAT
:return:
"""
return self._get_data()
@property
def preview_url(self) -> Optional[str]:
"""
Get signed preview url
:return:
"""
return self._get_data(force_url=True)
@property
def prompt_message_content(self) -> ImagePromptMessageContent:
if self.type == FileType.IMAGE:
image_config = self.extra_config.image_config
return ImagePromptMessageContent(
data=self.data,
detail=ImagePromptMessageContent.DETAIL.HIGH
if image_config.get("detail") == "high"
else ImagePromptMessageContent.DETAIL.LOW,
)
def _get_data(self, force_url: bool = False) -> Optional[str]:
from models.model import UploadFile
if self.type == FileType.IMAGE:
if self.transfer_method == FileTransferMethod.REMOTE_URL:
return self.url
elif self.transfer_method == FileTransferMethod.LOCAL_FILE:
upload_file = (
db.session.query(UploadFile)
.filter(UploadFile.id == self.related_id, UploadFile.tenant_id == self.tenant_id)
.first()
)
return UploadFileParser.get_image_data(upload_file=upload_file, force_url=force_url)
elif self.transfer_method == FileTransferMethod.TOOL_FILE:
extension = self.extension
# add sign url
return ToolFileParser.get_tool_file_manager().sign_file(
tool_file_id=self.related_id, extension=extension
)
return None

View File

@ -0,0 +1,32 @@
from sqlalchemy import select
from sqlalchemy.orm import Session
from models import ToolFile, UploadFile
from .models import File
def get_upload_file(*, session: Session, file: File):
if file.related_id is None:
raise ValueError("Missing file related_id")
stmt = select(UploadFile).filter(
UploadFile.id == file.related_id,
UploadFile.tenant_id == file.tenant_id,
)
record = session.scalar(stmt)
if not record:
raise ValueError(f"upload file {file.related_id} not found")
return record
def get_tool_file(*, session: Session, file: File):
if file.related_id is None:
raise ValueError("Missing file related_id")
stmt = select(ToolFile).filter(
ToolFile.id == file.related_id,
ToolFile.tenant_id == file.tenant_id,
)
record = session.scalar(stmt)
if not record:
raise ValueError(f"tool file {file.related_id} not found")
return record

48
api/core/file/helpers.py Normal file
View File

@ -0,0 +1,48 @@
import base64
import hashlib
import hmac
import os
import time
from configs import dify_config
def get_signed_file_url(upload_file_id: str) -> str:
url = f"{dify_config.FILES_URL}/files/{upload_file_id}/file-preview"
timestamp = str(int(time.time()))
nonce = os.urandom(16).hex()
key = dify_config.SECRET_KEY.encode()
msg = f"file-preview|{upload_file_id}|{timestamp}|{nonce}"
sign = hmac.new(key, msg.encode(), hashlib.sha256).digest()
encoded_sign = base64.urlsafe_b64encode(sign).decode()
return f"{url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}"
def verify_image_signature(*, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
data_to_sign = f"image-preview|{upload_file_id}|{timestamp}|{nonce}"
secret_key = dify_config.SECRET_KEY.encode()
recalculated_sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
recalculated_encoded_sign = base64.urlsafe_b64encode(recalculated_sign).decode()
# verify signature
if sign != recalculated_encoded_sign:
return False
current_time = int(time.time())
return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT
def verify_file_signature(*, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
data_to_sign = f"file-preview|{upload_file_id}|{timestamp}|{nonce}"
secret_key = dify_config.SECRET_KEY.encode()
recalculated_sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
recalculated_encoded_sign = base64.urlsafe_b64encode(recalculated_sign).decode()
# verify signature
if sign != recalculated_encoded_sign:
return False
current_time = int(time.time())
return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT

View File

@ -1,243 +0,0 @@
import re
from collections.abc import Mapping, Sequence
from typing import Any, Union
from urllib.parse import parse_qs, urlparse
import requests
from core.file.file_obj import FileBelongsTo, FileExtraConfig, FileTransferMethod, FileType, FileVar
from extensions.ext_database import db
from models.account import Account
from models.model import EndUser, MessageFile, UploadFile
from services.file_service import IMAGE_EXTENSIONS
class MessageFileParser:
def __init__(self, tenant_id: str, app_id: str) -> None:
self.tenant_id = tenant_id
self.app_id = app_id
def validate_and_transform_files_arg(
self, files: Sequence[Mapping[str, Any]], file_extra_config: FileExtraConfig, user: Union[Account, EndUser]
) -> list[FileVar]:
"""
validate and transform files arg
:param files:
:param file_extra_config:
:param user:
:return:
"""
for file in files:
if not isinstance(file, dict):
raise ValueError("Invalid file format, must be dict")
if not file.get("type"):
raise ValueError("Missing file type")
FileType.value_of(file.get("type"))
if not file.get("transfer_method"):
raise ValueError("Missing file transfer method")
FileTransferMethod.value_of(file.get("transfer_method"))
if file.get("transfer_method") == FileTransferMethod.REMOTE_URL.value:
if not file.get("url"):
raise ValueError("Missing file url")
if not file.get("url").startswith("http"):
raise ValueError("Invalid file url")
if file.get("transfer_method") == FileTransferMethod.LOCAL_FILE.value and not file.get("upload_file_id"):
raise ValueError("Missing file upload_file_id")
if file.get("transform_method") == FileTransferMethod.TOOL_FILE.value and not file.get("tool_file_id"):
raise ValueError("Missing file tool_file_id")
# transform files to file objs
type_file_objs = self._to_file_objs(files, file_extra_config)
# validate files
new_files = []
for file_type, file_objs in type_file_objs.items():
if file_type == FileType.IMAGE:
# parse and validate files
image_config = file_extra_config.image_config
# check if image file feature is enabled
if not image_config:
continue
# Validate number of files
if len(files) > image_config["number_limits"]:
raise ValueError(f"Number of image files exceeds the maximum limit {image_config['number_limits']}")
for file_obj in file_objs:
# Validate transfer method
if file_obj.transfer_method.value not in image_config["transfer_methods"]:
raise ValueError(f"Invalid transfer method: {file_obj.transfer_method.value}")
# Validate file type
if file_obj.type != FileType.IMAGE:
raise ValueError(f"Invalid file type: {file_obj.type}")
if file_obj.transfer_method == FileTransferMethod.REMOTE_URL:
# check remote url valid and is image
result, error = self._check_image_remote_url(file_obj.url)
if result is False:
raise ValueError(error)
elif file_obj.transfer_method == FileTransferMethod.LOCAL_FILE:
# get upload file from upload_file_id
upload_file = (
db.session.query(UploadFile)
.filter(
UploadFile.id == file_obj.related_id,
UploadFile.tenant_id == self.tenant_id,
UploadFile.created_by == user.id,
UploadFile.created_by_role == ("account" if isinstance(user, Account) else "end_user"),
UploadFile.extension.in_(IMAGE_EXTENSIONS),
)
.first()
)
# check upload file is belong to tenant and user
if not upload_file:
raise ValueError("Invalid upload file")
new_files.append(file_obj)
# return all file objs
return new_files
def transform_message_files(self, files: list[MessageFile], file_extra_config: FileExtraConfig):
"""
transform message files
:param files:
:param file_extra_config:
:return:
"""
# transform files to file objs
type_file_objs = self._to_file_objs(files, file_extra_config)
# return all file objs
return [file_obj for file_objs in type_file_objs.values() for file_obj in file_objs]
def _to_file_objs(
self, files: list[Union[dict, MessageFile]], file_extra_config: FileExtraConfig
) -> dict[FileType, list[FileVar]]:
"""
transform files to file objs
:param files:
:param file_extra_config:
:return:
"""
type_file_objs: dict[FileType, list[FileVar]] = {
# Currently only support image
FileType.IMAGE: []
}
if not files:
return type_file_objs
# group by file type and convert file args or message files to FileObj
for file in files:
if isinstance(file, MessageFile):
if file.belongs_to == FileBelongsTo.ASSISTANT.value:
continue
file_obj = self._to_file_obj(file, file_extra_config)
if file_obj.type not in type_file_objs:
continue
type_file_objs[file_obj.type].append(file_obj)
return type_file_objs
def _to_file_obj(self, file: Union[dict, MessageFile], file_extra_config: FileExtraConfig):
"""
transform file to file obj
:param file:
:return:
"""
if isinstance(file, dict):
transfer_method = FileTransferMethod.value_of(file.get("transfer_method"))
if transfer_method != FileTransferMethod.TOOL_FILE:
return FileVar(
tenant_id=self.tenant_id,
type=FileType.value_of(file.get("type")),
transfer_method=transfer_method,
url=file.get("url") if transfer_method == FileTransferMethod.REMOTE_URL else None,
related_id=file.get("upload_file_id") if transfer_method == FileTransferMethod.LOCAL_FILE else None,
extra_config=file_extra_config,
)
return FileVar(
tenant_id=self.tenant_id,
type=FileType.value_of(file.get("type")),
transfer_method=transfer_method,
url=None,
related_id=file.get("tool_file_id"),
extra_config=file_extra_config,
)
else:
return FileVar(
id=file.id,
tenant_id=self.tenant_id,
type=FileType.value_of(file.type),
transfer_method=FileTransferMethod.value_of(file.transfer_method),
url=file.url,
related_id=file.upload_file_id or None,
extra_config=file_extra_config,
)
def _check_image_remote_url(self, url):
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)"
" Chrome/91.0.4472.124 Safari/537.36"
}
def is_s3_presigned_url(url):
try:
parsed_url = urlparse(url)
if "amazonaws.com" not in parsed_url.netloc:
return False
query_params = parse_qs(parsed_url.query)
def check_presign_v2(query_params):
required_params = ["Signature", "Expires"]
for param in required_params:
if param not in query_params:
return False
if not query_params["Expires"][0].isdigit():
return False
signature = query_params["Signature"][0]
if not re.match(r"^[A-Za-z0-9+/]+={0,2}$", signature):
return False
return True
def check_presign_v4(query_params):
required_params = ["X-Amz-Signature", "X-Amz-Expires"]
for param in required_params:
if param not in query_params:
return False
if not query_params["X-Amz-Expires"][0].isdigit():
return False
signature = query_params["X-Amz-Signature"][0]
if not re.match(r"^[A-Za-z0-9+/]+={0,2}$", signature):
return False
return True
return check_presign_v4(query_params) or check_presign_v2(query_params)
except Exception:
return False
if is_s3_presigned_url(url):
response = requests.get(url, headers=headers, allow_redirects=True)
if response.status_code in {200, 304}:
return True, ""
response = requests.head(url, headers=headers, allow_redirects=True)
if response.status_code in {200, 304}:
return True, ""
else:
return False, "URL does not exist."
except requests.RequestException as e:
return False, f"Error checking URL: {e}"

140
api/core/file/models.py Normal file
View File

@ -0,0 +1,140 @@
from collections.abc import Mapping, Sequence
from typing import Optional
from pydantic import BaseModel, Field, model_validator
from core.model_runtime.entities.message_entities import ImagePromptMessageContent
from . import helpers
from .constants import FILE_MODEL_IDENTITY
from .enums import FileTransferMethod, FileType
from .tool_file_parser import ToolFileParser
class ImageConfig(BaseModel):
"""
NOTE: This part of validation is deprecated, but still used in app features "Image Upload".
"""
number_limits: int = 0
transfer_methods: Sequence[FileTransferMethod] = Field(default_factory=list)
detail: ImagePromptMessageContent.DETAIL | None = None
class FileExtraConfig(BaseModel):
"""
File Upload Entity.
"""
image_config: Optional[ImageConfig] = None
allowed_file_types: Sequence[FileType] = Field(default_factory=list)
allowed_extensions: Sequence[str] = Field(default_factory=list)
allowed_upload_methods: Sequence[FileTransferMethod] = Field(default_factory=list)
number_limits: int = 0
class File(BaseModel):
dify_model_identity: str = FILE_MODEL_IDENTITY
id: Optional[str] = None # message file id
tenant_id: str
type: FileType
transfer_method: FileTransferMethod
remote_url: Optional[str] = None # remote url
related_id: Optional[str] = None
filename: Optional[str] = None
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")
return {
**data,
"url": self.generate_url(),
}
@property
def markdown(self) -> str:
url = self.generate_url()
if self.type == FileType.IMAGE:
text = f'![{self.filename or ""}]({url})'
else:
text = f"[{self.filename or url}]({url})"
return text
def generate_url(self) -> Optional[str]:
if self.type == FileType.IMAGE:
if self.transfer_method == FileTransferMethod.REMOTE_URL:
return self.remote_url
elif self.transfer_method == FileTransferMethod.LOCAL_FILE:
if self.related_id is None:
raise ValueError("Missing file related_id")
return helpers.get_signed_file_url(upload_file_id=self.related_id)
elif self.transfer_method == FileTransferMethod.TOOL_FILE:
assert self.related_id is not None
assert self.extension is not None
return ToolFileParser.get_tool_file_manager().sign_file(
tool_file_id=self.related_id, extension=self.extension
)
else:
if self.transfer_method == FileTransferMethod.REMOTE_URL:
return self.remote_url
elif self.transfer_method == FileTransferMethod.LOCAL_FILE:
if self.related_id is None:
raise ValueError("Missing file related_id")
return helpers.get_signed_file_url(upload_file_id=self.related_id)
elif self.transfer_method == FileTransferMethod.TOOL_FILE:
assert self.related_id is not None
assert self.extension is not None
return ToolFileParser.get_tool_file_manager().sign_file(
tool_file_id=self.related_id, extension=self.extension
)
@model_validator(mode="after")
def validate_after(self):
match self.transfer_method:
case FileTransferMethod.REMOTE_URL:
if not self.remote_url:
raise ValueError("Missing file url")
if not isinstance(self.remote_url, str) or not self.remote_url.startswith("http"):
raise ValueError("Invalid file url")
case FileTransferMethod.LOCAL_FILE:
if not self.related_id:
raise ValueError("Missing file related_id")
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

View File

@ -1,4 +1,9 @@
tool_file_manager = {"manager": None}
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from core.tools.tool_file_manager import ToolFileManager
tool_file_manager: dict[str, Any] = {"manager": None}
class ToolFileParser:

View File

@ -1,79 +0,0 @@
import base64
import hashlib
import hmac
import logging
import os
import time
from typing import Optional
from configs import dify_config
from extensions.ext_storage import storage
IMAGE_EXTENSIONS = ["jpg", "jpeg", "png", "webp", "gif", "svg"]
IMAGE_EXTENSIONS.extend([ext.upper() for ext in IMAGE_EXTENSIONS])
class UploadFileParser:
@classmethod
def get_image_data(cls, upload_file, force_url: bool = False) -> Optional[str]:
if not upload_file:
return None
if upload_file.extension not in IMAGE_EXTENSIONS:
return None
if dify_config.MULTIMODAL_SEND_IMAGE_FORMAT == "url" or force_url:
return cls.get_signed_temp_image_url(upload_file.id)
else:
# get image file base64
try:
data = storage.load(upload_file.key)
except FileNotFoundError:
logging.error(f"File not found: {upload_file.key}")
return None
encoded_string = base64.b64encode(data).decode("utf-8")
return f"data:{upload_file.mime_type};base64,{encoded_string}"
@classmethod
def get_signed_temp_image_url(cls, upload_file_id) -> str:
"""
get signed url from upload file
:param upload_file: UploadFile object
:return:
"""
base_url = dify_config.FILES_URL
image_preview_url = f"{base_url}/files/{upload_file_id}/image-preview"
timestamp = str(int(time.time()))
nonce = os.urandom(16).hex()
data_to_sign = f"image-preview|{upload_file_id}|{timestamp}|{nonce}"
secret_key = dify_config.SECRET_KEY.encode()
sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
encoded_sign = base64.urlsafe_b64encode(sign).decode()
return f"{image_preview_url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}"
@classmethod
def verify_image_file_signature(cls, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
"""
verify signature
:param upload_file_id: file id
:param timestamp: timestamp
:param nonce: nonce
:param sign: signature
:return:
"""
data_to_sign = f"image-preview|{upload_file_id}|{timestamp}|{nonce}"
secret_key = dify_config.SECRET_KEY.encode()
recalculated_sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
recalculated_encoded_sign = base64.urlsafe_b64encode(recalculated_sign).decode()
# verify signature
if sign != recalculated_encoded_sign:
return False
current_time = int(time.time())
return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT

View File

@ -13,8 +13,11 @@ SSRF_PROXY_HTTP_URL = os.getenv("SSRF_PROXY_HTTP_URL", "")
SSRF_PROXY_HTTPS_URL = os.getenv("SSRF_PROXY_HTTPS_URL", "")
SSRF_DEFAULT_MAX_RETRIES = int(os.getenv("SSRF_DEFAULT_MAX_RETRIES", "3"))
proxies = (
{"http://": SSRF_PROXY_HTTP_URL, "https://": SSRF_PROXY_HTTPS_URL}
proxy_mounts = (
{
"http://": httpx.HTTPTransport(proxy=SSRF_PROXY_HTTP_URL),
"https://": httpx.HTTPTransport(proxy=SSRF_PROXY_HTTPS_URL),
}
if SSRF_PROXY_HTTP_URL and SSRF_PROXY_HTTPS_URL
else None
)
@ -33,11 +36,14 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
while retries <= max_retries:
try:
if SSRF_PROXY_ALL_URL:
response = httpx.request(method=method, url=url, proxy=SSRF_PROXY_ALL_URL, **kwargs)
elif proxies:
response = httpx.request(method=method, url=url, proxies=proxies, **kwargs)
with httpx.Client(proxy=SSRF_PROXY_ALL_URL) as client:
response = client.request(method=method, url=url, **kwargs)
elif proxy_mounts:
with httpx.Client(mounts=proxy_mounts) as client:
response = client.request(method=method, url=url, **kwargs)
else:
response = httpx.request(method=method, url=url, **kwargs)
with httpx.Client() as client:
response = client.request(method=method, url=url, **kwargs)
if response.status_code not in STATUS_FORCELIST:
return response

View File

@ -1,18 +1,20 @@
from typing import Optional
from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
from core.file.message_file_parser import MessageFileParser
from core.file import file_manager
from core.model_manager import ModelInstance
from core.model_runtime.entities.message_entities import (
from core.model_runtime.entities import (
AssistantPromptMessage,
ImagePromptMessageContent,
PromptMessage,
PromptMessageContent,
PromptMessageRole,
TextPromptMessageContent,
UserPromptMessage,
)
from core.prompt.utils.extract_thread_messages import extract_thread_messages
from extensions.ext_database import db
from factories import file_factory
from models.model import AppMode, Conversation, Message, MessageFile
from models.workflow import WorkflowRun
@ -65,13 +67,12 @@ class TokenBufferMemory:
messages = list(reversed(thread_messages))
message_file_parser = MessageFileParser(tenant_id=app_record.tenant_id, app_id=app_record.id)
prompt_messages = []
for message in messages:
files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
if files:
file_extra_config = None
if self.conversation.mode not in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
if self.conversation.mode not in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
file_extra_config = FileUploadConfigManager.convert(self.conversation.model_config)
else:
if message.workflow_run_id:
@ -84,17 +85,21 @@ class TokenBufferMemory:
workflow_run.workflow.features_dict, is_vision=False
)
if file_extra_config:
file_objs = message_file_parser.transform_message_files(files, file_extra_config)
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
)
else:
file_objs = []
if not file_objs:
prompt_messages.append(UserPromptMessage(content=message.query))
else:
prompt_message_contents = [TextPromptMessageContent(data=message.query)]
prompt_message_contents: list[PromptMessageContent] = []
prompt_message_contents.append(TextPromptMessageContent(data=message.query))
for file_obj in file_objs:
prompt_message_contents.append(file_obj.prompt_message_content)
prompt_message = file_manager.to_prompt_message_content(file_obj)
prompt_message_contents.append(prompt_message)
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
else:

View File

@ -1,7 +1,7 @@
import logging
import os
from collections.abc import Callable, Generator, Sequence
from typing import IO, Optional, Union, cast
from collections.abc import Callable, Generator, Iterable, Sequence
from typing import IO, Any, Optional, Union, cast
from core.entities.embedding_type import EmbeddingInputType
from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
@ -274,7 +274,7 @@ class ModelInstance:
user=user,
)
def invoke_tts(self, content_text: str, tenant_id: str, voice: str, user: Optional[str] = None) -> str:
def invoke_tts(self, content_text: str, tenant_id: str, voice: str, user: Optional[str] = None) -> Iterable[bytes]:
"""
Invoke large language tts model
@ -298,7 +298,7 @@ class ModelInstance:
voice=voice,
)
def _round_robin_invoke(self, function: Callable, *args, **kwargs):
def _round_robin_invoke(self, function: Callable[..., Any], *args, **kwargs):
"""
Round-robin invoke
:param function: function to invoke

View File

@ -0,0 +1,38 @@
from .llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from .message_entities import (
AssistantPromptMessage,
AudioPromptMessageContent,
ImagePromptMessageContent,
PromptMessage,
PromptMessageContent,
PromptMessageContentType,
PromptMessageRole,
PromptMessageTool,
SystemPromptMessage,
TextPromptMessageContent,
ToolPromptMessage,
UserPromptMessage,
)
from .model_entities import ModelPropertyKey
__all__ = [
"ImagePromptMessageContent",
"PromptMessage",
"PromptMessageRole",
"LLMUsage",
"ModelPropertyKey",
"AssistantPromptMessage",
"PromptMessage",
"PromptMessageContent",
"PromptMessageRole",
"SystemPromptMessage",
"TextPromptMessageContent",
"UserPromptMessage",
"PromptMessageTool",
"ToolPromptMessage",
"PromptMessageContentType",
"LLMResult",
"LLMResultChunk",
"LLMResultChunkDelta",
"AudioPromptMessageContent",
]

View File

@ -2,7 +2,7 @@ from abc import ABC
from enum import Enum
from typing import Optional
from pydantic import BaseModel, field_validator
from pydantic import BaseModel, Field, field_validator
class PromptMessageRole(Enum):
@ -55,6 +55,7 @@ class PromptMessageContentType(Enum):
TEXT = "text"
IMAGE = "image"
AUDIO = "audio"
class PromptMessageContent(BaseModel):
@ -74,12 +75,18 @@ class TextPromptMessageContent(PromptMessageContent):
type: PromptMessageContentType = PromptMessageContentType.TEXT
class AudioPromptMessageContent(PromptMessageContent):
type: PromptMessageContentType = PromptMessageContentType.AUDIO
data: str = Field(..., description="Base64 encoded audio data")
format: str = Field(..., description="Audio format")
class ImagePromptMessageContent(PromptMessageContent):
"""
Model class for image prompt message content.
"""
class DETAIL(Enum):
class DETAIL(str, Enum):
LOW = "low"
HIGH = "high"

View File

@ -1,5 +1,4 @@
import logging
import os
import re
import time
from abc import abstractmethod
@ -8,6 +7,7 @@ from typing import Optional, Union
from pydantic import ConfigDict
from configs import dify_config
from core.model_runtime.callbacks.base_callback import Callback
from core.model_runtime.callbacks.logging_callback import LoggingCallback
from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
@ -77,7 +77,7 @@ class LargeLanguageModel(AIModel):
callbacks = callbacks or []
if bool(os.environ.get("DEBUG", "False").lower() == "true"):
if dify_config.DEBUG:
callbacks.append(LoggingCallback())
# trigger before invoke callbacks
@ -107,7 +107,16 @@ class LargeLanguageModel(AIModel):
callbacks=callbacks,
)
else:
result = self._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
result = self._invoke(
model=model,
credentials=credentials,
prompt_messages=prompt_messages,
model_parameters=model_parameters,
tools=tools,
stop=stop,
stream=stream,
user=user,
)
except Exception as e:
self._trigger_invoke_error_callbacks(
model=model,

View File

@ -1,6 +1,7 @@
import logging
import re
from abc import abstractmethod
from collections.abc import Iterable
from typing import Any, Optional
from pydantic import ConfigDict
@ -22,8 +23,14 @@ class TTSModel(AIModel):
model_config = ConfigDict(protected_namespaces=())
def invoke(
self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
):
self,
model: str,
tenant_id: str,
credentials: dict,
content_text: str,
voice: str,
user: Optional[str] = None,
) -> Iterable[bytes]:
"""
Invoke large language model
@ -50,8 +57,14 @@ class TTSModel(AIModel):
@abstractmethod
def _invoke(
self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
):
self,
model: str,
tenant_id: str,
credentials: dict,
content_text: str,
voice: str,
user: Optional[str] = None,
) -> Iterable[bytes]:
"""
Invoke large language model
@ -68,25 +81,25 @@ class TTSModel(AIModel):
def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list:
"""
Get voice for given tts model voices
Retrieves the list of voices supported by a given text-to-speech (TTS) model.
:param language: tts language
:param model: model name
:param credentials: model credentials
:return: voices lists
:param language: The language for which the voices are requested.
:param model: The name of the TTS model.
:param credentials: The credentials required to access the TTS model.
:return: A list of voices supported by the TTS model.
"""
model_schema = self.get_model_schema(model, credentials)
if model_schema and ModelPropertyKey.VOICES in model_schema.model_properties:
voices = model_schema.model_properties[ModelPropertyKey.VOICES]
if language:
return [
{"name": d["name"], "value": d["mode"]}
for d in voices
if language and language in d.get("language")
]
else:
return [{"name": d["name"], "value": d["mode"]} for d in voices]
if not model_schema or ModelPropertyKey.VOICES not in model_schema.model_properties:
raise ValueError("this model does not support voice")
voices = model_schema.model_properties[ModelPropertyKey.VOICES]
if language:
return [
{"name": d["name"], "value": d["mode"]} for d in voices if language and language in d.get("language")
]
else:
return [{"name": d["name"], "value": d["mode"]} for d in voices]
def _get_model_default_voice(self, model: str, credentials: dict) -> Any:
"""
@ -111,8 +124,10 @@ class TTSModel(AIModel):
"""
model_schema = self.get_model_schema(model, credentials)
if model_schema and ModelPropertyKey.AUDIO_TYPE in model_schema.model_properties:
return model_schema.model_properties[ModelPropertyKey.AUDIO_TYPE]
if not model_schema or ModelPropertyKey.AUDIO_TYPE not in model_schema.model_properties:
raise ValueError("this model does not support audio type")
return model_schema.model_properties[ModelPropertyKey.AUDIO_TYPE]
def _get_model_word_limit(self, model: str, credentials: dict) -> int:
"""
@ -121,8 +136,10 @@ class TTSModel(AIModel):
"""
model_schema = self.get_model_schema(model, credentials)
if model_schema and ModelPropertyKey.WORD_LIMIT in model_schema.model_properties:
return model_schema.model_properties[ModelPropertyKey.WORD_LIMIT]
if not model_schema or ModelPropertyKey.WORD_LIMIT not in model_schema.model_properties:
raise ValueError("this model does not support word limit")
return model_schema.model_properties[ModelPropertyKey.WORD_LIMIT]
def _get_model_workers_limit(self, model: str, credentials: dict) -> int:
"""
@ -131,8 +148,10 @@ class TTSModel(AIModel):
"""
model_schema = self.get_model_schema(model, credentials)
if model_schema and ModelPropertyKey.MAX_WORKERS in model_schema.model_properties:
return model_schema.model_properties[ModelPropertyKey.MAX_WORKERS]
if not model_schema or ModelPropertyKey.MAX_WORKERS not in model_schema.model_properties:
raise ValueError("this model does not support max workers")
return model_schema.model_properties[ModelPropertyKey.MAX_WORKERS]
@staticmethod
def _split_text_into_sentences(org_text, max_length=2000, pattern=r"[。.!?]"):

View File

@ -1,3 +1,4 @@
- gpt-4o-audio-preview
- gpt-4
- gpt-4o
- gpt-4o-2024-05-13

View File

@ -0,0 +1,44 @@
model: gpt-4o-audio-preview
label:
zh_Hans: gpt-4o-audio-preview
en_US: gpt-4o-audio-preview
model_type: llm
features:
- multi-tool-call
- agent-thought
- stream-tool-call
- vision
model_properties:
mode: chat
context_size: 128000
parameter_rules:
- name: temperature
use_template: temperature
- name: top_p
use_template: top_p
- name: presence_penalty
use_template: presence_penalty
- name: frequency_penalty
use_template: frequency_penalty
- name: max_tokens
use_template: max_tokens
default: 512
min: 1
max: 4096
- name: response_format
label:
zh_Hans: 回复格式
en_US: Response Format
type: string
help:
zh_Hans: 指定模型必须输出的格式
en_US: specifying the format that the model must output
required: false
options:
- text
- json_object
pricing:
input: '5.00'
output: '15.00'
unit: '0.000001'
currency: USD

View File

@ -1,7 +1,7 @@
import json
import logging
from collections.abc import Generator
from typing import Optional, Union, cast
from typing import Any, Optional, Union, cast
import tiktoken
from openai import OpenAI, Stream
@ -11,9 +11,9 @@ from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, Cho
from openai.types.chat.chat_completion_message import FunctionCall
from core.model_runtime.callbacks.base_callback import Callback
from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.message_entities import (
from core.model_runtime.entities import (
AssistantPromptMessage,
AudioPromptMessageContent,
ImagePromptMessageContent,
PromptMessage,
PromptMessageContentType,
@ -23,6 +23,7 @@ from core.model_runtime.entities.message_entities import (
ToolPromptMessage,
UserPromptMessage,
)
from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, I18nObject, ModelType, PriceConfig
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
@ -613,6 +614,7 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
# clear illegal prompt messages
prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
# o1 compatibility
block_as_stream = False
if model.startswith("o1"):
if stream:
@ -626,8 +628,9 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
del extra_model_kwargs["stop"]
# chat model
messages: Any = [self._convert_prompt_message_to_dict(m) for m in prompt_messages]
response = client.chat.completions.create(
messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages],
messages=messages,
model=model,
stream=stream,
**model_parameters,
@ -946,23 +949,29 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
Convert PromptMessage to dict for OpenAI API
"""
if isinstance(message, UserPromptMessage):
message = cast(UserPromptMessage, message)
if isinstance(message.content, str):
message_dict = {"role": "user", "content": message.content}
else:
elif isinstance(message.content, list):
sub_messages = []
for message_content in message.content:
if message_content.type == PromptMessageContentType.TEXT:
message_content = cast(TextPromptMessageContent, message_content)
if isinstance(message_content, TextPromptMessageContent):
sub_message_dict = {"type": "text", "text": message_content.data}
sub_messages.append(sub_message_dict)
elif message_content.type == PromptMessageContentType.IMAGE:
message_content = cast(ImagePromptMessageContent, message_content)
elif isinstance(message_content, ImagePromptMessageContent):
sub_message_dict = {
"type": "image_url",
"image_url": {"url": message_content.data, "detail": message_content.detail.value},
}
sub_messages.append(sub_message_dict)
elif isinstance(message_content, AudioPromptMessageContent):
sub_message_dict = {
"type": "input_audio",
"input_audio": {
"data": message_content.data,
"format": message_content.format,
},
}
sub_messages.append(sub_message_dict)
message_dict = {"role": "user", "content": sub_messages}
elif isinstance(message, AssistantPromptMessage):

View File

@ -358,8 +358,8 @@ class TraceTask:
workflow_run_id = workflow_run.id
workflow_run_elapsed_time = workflow_run.elapsed_time
workflow_run_status = workflow_run.status
workflow_run_inputs = json.loads(workflow_run.inputs) if workflow_run.inputs else {}
workflow_run_outputs = json.loads(workflow_run.outputs) if workflow_run.outputs else {}
workflow_run_inputs = workflow_run.inputs_dict
workflow_run_outputs = workflow_run.outputs_dict
workflow_run_version = workflow_run.version
error = workflow_run.error or ""

View File

@ -1,12 +1,15 @@
from typing import Optional, Union
from collections.abc import Sequence
from typing import Optional
from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
from core.file.file_obj import FileVar
from core.file import file_manager
from core.file.models import File
from core.helper.code_executor.jinja2.jinja2_formatter import Jinja2Formatter
from core.memory.token_buffer_memory import TokenBufferMemory
from core.model_runtime.entities.message_entities import (
from core.model_runtime.entities import (
AssistantPromptMessage,
PromptMessage,
PromptMessageContent,
PromptMessageRole,
SystemPromptMessage,
TextPromptMessageContent,
@ -14,8 +17,8 @@ from core.model_runtime.entities.message_entities import (
)
from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate, MemoryConfig
from core.prompt.prompt_transform import PromptTransform
from core.prompt.simple_prompt_transform import ModelMode
from core.prompt.utils.prompt_template_parser import PromptTemplateParser
from core.workflow.entities.variable_pool import VariablePool
class AdvancedPromptTransform(PromptTransform):
@ -28,22 +31,19 @@ class AdvancedPromptTransform(PromptTransform):
def get_prompt(
self,
prompt_template: Union[list[ChatModelMessage], CompletionModelPromptTemplate],
inputs: dict,
*,
prompt_template: Sequence[ChatModelMessage] | CompletionModelPromptTemplate,
inputs: dict[str, str],
query: str,
files: list[FileVar],
files: Sequence[File],
context: Optional[str],
memory_config: Optional[MemoryConfig],
memory: Optional[TokenBufferMemory],
model_config: ModelConfigWithCredentialsEntity,
query_prompt_template: Optional[str] = None,
) -> list[PromptMessage]:
inputs = {key: str(value) for key, value in inputs.items()}
prompt_messages = []
model_mode = ModelMode.value_of(model_config.mode)
if model_mode == ModelMode.COMPLETION:
if isinstance(prompt_template, CompletionModelPromptTemplate):
prompt_messages = self._get_completion_model_prompt_messages(
prompt_template=prompt_template,
inputs=inputs,
@ -54,12 +54,11 @@ class AdvancedPromptTransform(PromptTransform):
memory=memory,
model_config=model_config,
)
elif model_mode == ModelMode.CHAT:
elif isinstance(prompt_template, list) and all(isinstance(item, ChatModelMessage) for item in prompt_template):
prompt_messages = self._get_chat_model_prompt_messages(
prompt_template=prompt_template,
inputs=inputs,
query=query,
query_prompt_template=query_prompt_template,
files=files,
context=context,
memory_config=memory_config,
@ -74,7 +73,7 @@ class AdvancedPromptTransform(PromptTransform):
prompt_template: CompletionModelPromptTemplate,
inputs: dict,
query: Optional[str],
files: list[FileVar],
files: Sequence[File],
context: Optional[str],
memory_config: Optional[MemoryConfig],
memory: Optional[TokenBufferMemory],
@ -88,10 +87,10 @@ class AdvancedPromptTransform(PromptTransform):
prompt_messages = []
if prompt_template.edition_type == "basic" or not prompt_template.edition_type:
prompt_template = PromptTemplateParser(template=raw_prompt, with_variable_tmpl=self.with_variable_tmpl)
prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
parser = PromptTemplateParser(template=raw_prompt, with_variable_tmpl=self.with_variable_tmpl)
prompt_inputs = {k: inputs[k] for k in parser.variable_keys if k in inputs}
prompt_inputs = self._set_context_variable(context, prompt_template, prompt_inputs)
prompt_inputs = self._set_context_variable(context, parser, prompt_inputs)
if memory and memory_config:
role_prefix = memory_config.role_prefix
@ -100,15 +99,15 @@ class AdvancedPromptTransform(PromptTransform):
memory_config=memory_config,
raw_prompt=raw_prompt,
role_prefix=role_prefix,
prompt_template=prompt_template,
parser=parser,
prompt_inputs=prompt_inputs,
model_config=model_config,
)
if query:
prompt_inputs = self._set_query_variable(query, prompt_template, prompt_inputs)
prompt_inputs = self._set_query_variable(query, parser, prompt_inputs)
prompt = prompt_template.format(prompt_inputs)
prompt = parser.format(prompt_inputs)
else:
prompt = raw_prompt
prompt_inputs = inputs
@ -116,9 +115,10 @@ class AdvancedPromptTransform(PromptTransform):
prompt = Jinja2Formatter.format(prompt, prompt_inputs)
if files:
prompt_message_contents = [TextPromptMessageContent(data=prompt)]
prompt_message_contents: list[PromptMessageContent] = []
prompt_message_contents.append(TextPromptMessageContent(data=prompt))
for file in files:
prompt_message_contents.append(file.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file))
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
else:
@ -131,35 +131,38 @@ class AdvancedPromptTransform(PromptTransform):
prompt_template: list[ChatModelMessage],
inputs: dict,
query: Optional[str],
files: list[FileVar],
files: Sequence[File],
context: Optional[str],
memory_config: Optional[MemoryConfig],
memory: Optional[TokenBufferMemory],
model_config: ModelConfigWithCredentialsEntity,
query_prompt_template: Optional[str] = None,
) -> list[PromptMessage]:
"""
Get chat model prompt messages.
"""
raw_prompt_list = prompt_template
prompt_messages = []
for prompt_item in raw_prompt_list:
for prompt_item in prompt_template:
raw_prompt = prompt_item.text
if prompt_item.edition_type == "basic" or not prompt_item.edition_type:
prompt_template = PromptTemplateParser(template=raw_prompt, with_variable_tmpl=self.with_variable_tmpl)
prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
prompt_inputs = self._set_context_variable(context, prompt_template, prompt_inputs)
prompt = prompt_template.format(prompt_inputs)
if self.with_variable_tmpl:
vp = VariablePool()
for k, v in inputs.items():
if k.startswith("#"):
vp.add(k[1:-1].split("."), v)
raw_prompt = raw_prompt.replace("{{#context#}}", context or "")
prompt = vp.convert_template(raw_prompt).text
else:
parser = PromptTemplateParser(template=raw_prompt, with_variable_tmpl=self.with_variable_tmpl)
prompt_inputs = {k: inputs[k] for k in parser.variable_keys if k in inputs}
prompt_inputs = self._set_context_variable(
context=context, parser=parser, prompt_inputs=prompt_inputs
)
prompt = parser.format(prompt_inputs)
elif prompt_item.edition_type == "jinja2":
prompt = raw_prompt
prompt_inputs = inputs
prompt = Jinja2Formatter.format(prompt, prompt_inputs)
prompt = Jinja2Formatter.format(template=prompt, inputs=prompt_inputs)
else:
raise ValueError(f"Invalid edition type: {prompt_item.edition_type}")
@ -170,25 +173,25 @@ class AdvancedPromptTransform(PromptTransform):
elif prompt_item.role == PromptMessageRole.ASSISTANT:
prompt_messages.append(AssistantPromptMessage(content=prompt))
if query and query_prompt_template:
prompt_template = PromptTemplateParser(
template=query_prompt_template, with_variable_tmpl=self.with_variable_tmpl
if query and memory_config and memory_config.query_prompt_template:
parser = PromptTemplateParser(
template=memory_config.query_prompt_template, with_variable_tmpl=self.with_variable_tmpl
)
prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
prompt_inputs = {k: inputs[k] for k in parser.variable_keys if k in inputs}
prompt_inputs["#sys.query#"] = query
prompt_inputs = self._set_context_variable(context, prompt_template, prompt_inputs)
prompt_inputs = self._set_context_variable(context, parser, prompt_inputs)
query = prompt_template.format(prompt_inputs)
query = parser.format(prompt_inputs)
if memory and memory_config:
prompt_messages = self._append_chat_histories(memory, memory_config, prompt_messages, model_config)
if files:
prompt_message_contents = [TextPromptMessageContent(data=query)]
if files and query is not None:
prompt_message_contents: list[PromptMessageContent] = []
prompt_message_contents.append(TextPromptMessageContent(data=query))
for file in files:
prompt_message_contents.append(file.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file))
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
else:
prompt_messages.append(UserPromptMessage(content=query))
@ -200,19 +203,19 @@ class AdvancedPromptTransform(PromptTransform):
# get last user message content and add files
prompt_message_contents = [TextPromptMessageContent(data=last_message.content)]
for file in files:
prompt_message_contents.append(file.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file))
last_message.content = prompt_message_contents
else:
prompt_message_contents = [TextPromptMessageContent(data="")] # not for query
for file in files:
prompt_message_contents.append(file.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file))
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
else:
prompt_message_contents = [TextPromptMessageContent(data=query)]
for file in files:
prompt_message_contents.append(file.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file))
prompt_messages.append(UserPromptMessage(content=prompt_message_contents))
elif query:
@ -220,8 +223,8 @@ class AdvancedPromptTransform(PromptTransform):
return prompt_messages
def _set_context_variable(self, context: str, prompt_template: PromptTemplateParser, prompt_inputs: dict) -> dict:
if "#context#" in prompt_template.variable_keys:
def _set_context_variable(self, context: str | None, parser: PromptTemplateParser, prompt_inputs: dict) -> dict:
if "#context#" in parser.variable_keys:
if context:
prompt_inputs["#context#"] = context
else:
@ -229,8 +232,8 @@ class AdvancedPromptTransform(PromptTransform):
return prompt_inputs
def _set_query_variable(self, query: str, prompt_template: PromptTemplateParser, prompt_inputs: dict) -> dict:
if "#query#" in prompt_template.variable_keys:
def _set_query_variable(self, query: str, parser: PromptTemplateParser, prompt_inputs: dict) -> dict:
if "#query#" in parser.variable_keys:
if query:
prompt_inputs["#query#"] = query
else:
@ -244,16 +247,16 @@ class AdvancedPromptTransform(PromptTransform):
memory_config: MemoryConfig,
raw_prompt: str,
role_prefix: MemoryConfig.RolePrefix,
prompt_template: PromptTemplateParser,
parser: PromptTemplateParser,
prompt_inputs: dict,
model_config: ModelConfigWithCredentialsEntity,
) -> dict:
if "#histories#" in prompt_template.variable_keys:
if "#histories#" in parser.variable_keys:
if memory:
inputs = {"#histories#": "", **prompt_inputs}
prompt_template = PromptTemplateParser(template=raw_prompt, with_variable_tmpl=self.with_variable_tmpl)
prompt_inputs = {k: inputs[k] for k in prompt_template.variable_keys if k in inputs}
tmp_human_message = UserPromptMessage(content=prompt_template.format(prompt_inputs))
parser = PromptTemplateParser(template=raw_prompt, with_variable_tmpl=self.with_variable_tmpl)
prompt_inputs = {k: inputs[k] for k in parser.variable_keys if k in inputs}
tmp_human_message = UserPromptMessage(content=parser.format(prompt_inputs))
rest_tokens = self._calculate_rest_token([tmp_human_message], model_config)

View File

@ -5,9 +5,11 @@ from typing import TYPE_CHECKING, Optional
from core.app.app_config.entities import PromptTemplateEntity
from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
from core.file import file_manager
from core.memory.token_buffer_memory import TokenBufferMemory
from core.model_runtime.entities.message_entities import (
PromptMessage,
PromptMessageContent,
SystemPromptMessage,
TextPromptMessageContent,
UserPromptMessage,
@ -18,10 +20,10 @@ from core.prompt.utils.prompt_template_parser import PromptTemplateParser
from models.model import AppMode
if TYPE_CHECKING:
from core.file.file_obj import FileVar
from core.file.models import File
class ModelMode(enum.Enum):
class ModelMode(str, enum.Enum):
COMPLETION = "completion"
CHAT = "chat"
@ -53,7 +55,7 @@ class SimplePromptTransform(PromptTransform):
prompt_template_entity: PromptTemplateEntity,
inputs: dict,
query: str,
files: list["FileVar"],
files: list["File"],
context: Optional[str],
memory: Optional[TokenBufferMemory],
model_config: ModelConfigWithCredentialsEntity,
@ -169,7 +171,7 @@ class SimplePromptTransform(PromptTransform):
inputs: dict,
query: str,
context: Optional[str],
files: list["FileVar"],
files: list["File"],
memory: Optional[TokenBufferMemory],
model_config: ModelConfigWithCredentialsEntity,
) -> tuple[list[PromptMessage], Optional[list[str]]]:
@ -214,7 +216,7 @@ class SimplePromptTransform(PromptTransform):
inputs: dict,
query: str,
context: Optional[str],
files: list["FileVar"],
files: list["File"],
memory: Optional[TokenBufferMemory],
model_config: ModelConfigWithCredentialsEntity,
) -> tuple[list[PromptMessage], Optional[list[str]]]:
@ -261,11 +263,12 @@ class SimplePromptTransform(PromptTransform):
return [self.get_last_user_message(prompt, files)], stops
def get_last_user_message(self, prompt: str, files: list["FileVar"]) -> UserPromptMessage:
def get_last_user_message(self, prompt: str, files: list["File"]) -> UserPromptMessage:
if files:
prompt_message_contents = [TextPromptMessageContent(data=prompt)]
prompt_message_contents: list[PromptMessageContent] = []
prompt_message_contents.append(TextPromptMessageContent(data=prompt))
for file in files:
prompt_message_contents.append(file.prompt_message_content)
prompt_message_contents.append(file_manager.to_prompt_message_content(file))
prompt_message = UserPromptMessage(content=prompt_message_contents)
else:

View File

@ -1,7 +1,9 @@
from typing import Any
from constants import UUID_NIL
def extract_thread_messages(messages: list[dict]) -> list[dict]:
def extract_thread_messages(messages: list[Any]):
thread_messages = []
next_message = None

View File

@ -1,7 +1,8 @@
from typing import cast
from core.model_runtime.entities.message_entities import (
from core.model_runtime.entities import (
AssistantPromptMessage,
AudioPromptMessageContent,
ImagePromptMessageContent,
PromptMessage,
PromptMessageContentType,
@ -21,7 +22,7 @@ class PromptMessageUtil:
:return:
"""
prompts = []
if model_mode == ModelMode.CHAT.value:
if model_mode == ModelMode.CHAT:
tool_calls = []
for prompt_message in prompt_messages:
if prompt_message.role == PromptMessageRole.USER:
@ -51,11 +52,9 @@ class PromptMessageUtil:
files = []
if isinstance(prompt_message.content, list):
for content in prompt_message.content:
if content.type == PromptMessageContentType.TEXT:
content = cast(TextPromptMessageContent, content)
if isinstance(content, TextPromptMessageContent):
text += content.data
else:
content = cast(ImagePromptMessageContent, content)
elif isinstance(content, ImagePromptMessageContent):
files.append(
{
"type": "image",
@ -63,6 +62,14 @@ class PromptMessageUtil:
"detail": content.detail.value,
}
)
elif isinstance(content, AudioPromptMessageContent):
files.append(
{
"type": "audio",
"data": content.data[:10] + "...[TRUNCATED]..." + content.data[-10:],
"format": content.format,
}
)
else:
text = prompt_message.content

View File

@ -121,7 +121,7 @@ class WordExtractor(BaseExtractor):
db.session.add(upload_file)
db.session.commit()
image_map[rel.target_part] = (
f"![image]({dify_config.CONSOLE_API_URL}/files/{upload_file.id}/image-preview)"
f"![image]({dify_config.CONSOLE_API_URL}/files/{upload_file.id}/file-preview)"
)
return image_map

View File

@ -9,7 +9,7 @@ from core.prompt.advanced_prompt_transform import AdvancedPromptTransform
from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate
from core.rag.retrieval.output_parser.react_output import ReactAction
from core.rag.retrieval.output_parser.structured_chat import StructuredChatOutputParser
from core.workflow.nodes.llm.llm_node import LLMNode
from core.workflow.nodes.llm import LLMNode
PREFIX = """Respond to the human as helpfully and accurately as possible. You have access to the following tools:"""

View File

@ -32,8 +32,8 @@ class UserToolProvider(BaseModel):
original_credentials: Optional[dict] = None
is_team_authorization: bool = False
allow_delete: bool = True
tools: list[UserTool] = None
labels: list[str] = None
tools: list[UserTool] | None = None
labels: list[str] | None = None
def to_dict(self) -> dict:
# -------------
@ -42,7 +42,7 @@ class UserToolProvider(BaseModel):
for tool in tools:
if tool.get("parameters"):
for parameter in tool.get("parameters"):
if parameter.get("type") == ToolParameter.ToolParameterType.FILE.value:
if parameter.get("type") == ToolParameter.ToolParameterType.SYSTEM_FILES.value:
parameter["type"] = "files"
# -------------

View File

@ -104,14 +104,15 @@ class ToolInvokeMessage(BaseModel):
BLOB = "blob"
JSON = "json"
IMAGE_LINK = "image_link"
FILE_VAR = "file_var"
FILE = "file"
type: MessageType = MessageType.TEXT
"""
plain text, image url or link url
"""
message: str | bytes | dict | None = None
meta: dict[str, Any] | None = None
# TODO: Use a BaseModel for meta
meta: dict[str, Any] = Field(default_factory=dict)
save_as: str = ""
@ -143,6 +144,67 @@ class ToolParameter(BaseModel):
SELECT = "select"
SECRET_INPUT = "secret-input"
FILE = "file"
FILES = "files"
# deprecated, should not use.
SYSTEM_FILES = "systme-files"
def as_normal_type(self):
if self in {
ToolParameter.ToolParameterType.SECRET_INPUT,
ToolParameter.ToolParameterType.SELECT,
}:
return "string"
return self.value
def cast_value(self, value: Any, /):
try:
match self:
case (
ToolParameter.ToolParameterType.STRING
| ToolParameter.ToolParameterType.SECRET_INPUT
| ToolParameter.ToolParameterType.SELECT
):
if value is None:
return ""
else:
return value if isinstance(value, str) else str(value)
case ToolParameter.ToolParameterType.BOOLEAN:
if value is None:
return False
elif isinstance(value, str):
# Allowed YAML boolean value strings: https://yaml.org/type/bool.html
# and also '0' for False and '1' for True
match value.lower():
case "true" | "yes" | "y" | "1":
return True
case "false" | "no" | "n" | "0":
return False
case _:
return bool(value)
else:
return value if isinstance(value, bool) else bool(value)
case ToolParameter.ToolParameterType.NUMBER:
if isinstance(value, int | float):
return value
elif isinstance(value, str) and value:
if "." in value:
return float(value)
else:
return int(value)
case (
ToolParameter.ToolParameterType.SYSTEM_FILES
| ToolParameter.ToolParameterType.FILE
| ToolParameter.ToolParameterType.FILES
):
return value
case _:
return str(value)
except Exception:
raise ValueError(f"The tool parameter value {value} is not in correct type of {parameter_type}.")
class ToolParameterForm(Enum):
SCHEMA = "schema" # should be set while adding tool

View File

@ -66,7 +66,7 @@ class DallE3Tool(BuiltinTool):
for image in response.data:
mime_type, blob_image = DallE3Tool._decode_image(image.b64_json)
blob_message = self.create_blob_message(
blob=blob_image, meta={"mime_type": mime_type}, save_as=self.VariableKey.IMAGE.value
blob=blob_image, meta={"mime_type": mime_type}, save_as=self.VariableKey.IMAGE
)
result.append(blob_message)
return result

View File

@ -2,7 +2,7 @@ from typing import Any
from duckduckgo_search import DDGS
from core.file.file_obj import FileTransferMethod
from core.file.models import FileTransferMethod
from core.tools.entities.tool_entities import ToolInvokeMessage
from core.tools.tool.builtin_tool import BuiltinTool

View File

@ -0,0 +1,24 @@
<svg width="100" height="100" viewBox="0 0 100 100" fill="none" xmlns="http://www.w3.org/2000/svg">
<rect width="100" height="100" rx="20" fill="#4A90E2" />
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d="M50 25C40.6 25 33 32.6 33 42V58C33 67.4 40.6 75 50 75C59.4 75 67 67.4 67 58V42C67 32.6 59.4 25 50 25ZM61 58C61 64.1 56.1 69 50 69C43.9 69 39 64.1 39 58V42C39 35.9 43.9 31 50 31C56.1 31 61 35.9 61 42V58Z"
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After

Width:  |  Height:  |  Size: 1.4 KiB

View File

@ -0,0 +1,33 @@
from typing import Any
import openai
from core.tools.errors import ToolProviderCredentialValidationError
from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
class PodcastGeneratorProvider(BuiltinToolProviderController):
def _validate_credentials(self, credentials: dict[str, Any]) -> None:
tts_service = credentials.get("tts_service")
api_key = credentials.get("api_key")
if not tts_service:
raise ToolProviderCredentialValidationError("TTS service is not specified")
if not api_key:
raise ToolProviderCredentialValidationError("API key is missing")
if tts_service == "openai":
self._validate_openai_credentials(api_key)
else:
raise ToolProviderCredentialValidationError(f"Unsupported TTS service: {tts_service}")
def _validate_openai_credentials(self, api_key: str) -> None:
client = openai.OpenAI(api_key=api_key)
try:
# We're using a simple API call to validate the credentials
client.models.list()
except openai.AuthenticationError:
raise ToolProviderCredentialValidationError("Invalid OpenAI API key")
except Exception as e:
raise ToolProviderCredentialValidationError(f"Error validating OpenAI API key: {str(e)}")

View File

@ -0,0 +1,34 @@
identity:
author: Dify
name: podcast_generator
label:
en_US: Podcast Generator
zh_Hans: 播客生成器
description:
en_US: Generate podcast audio using Text-to-Speech services
zh_Hans: 使用文字转语音服务生成播客音频
icon: icon.svg
credentials_for_provider:
tts_service:
type: select
required: true
label:
en_US: TTS Service
zh_Hans: TTS 服务
placeholder:
en_US: Select a TTS service
zh_Hans: 选择一个 TTS 服务
options:
- label:
en_US: OpenAI TTS
zh_Hans: OpenAI TTS
value: openai
api_key:
type: secret-input
required: true
label:
en_US: API Key
zh_Hans: API 密钥
placeholder:
en_US: Enter your TTS service API key
zh_Hans: 输入您的 TTS 服务 API 密钥

View File

@ -0,0 +1,100 @@
import concurrent.futures
import io
import random
from typing import Any, Literal, Optional, Union
import openai
from pydub import AudioSegment
from core.tools.entities.tool_entities import ToolInvokeMessage
from core.tools.errors import ToolParameterValidationError, ToolProviderCredentialValidationError
from core.tools.tool.builtin_tool import BuiltinTool
class PodcastAudioGeneratorTool(BuiltinTool):
@staticmethod
def _generate_silence(duration: float):
# Generate silent WAV data using pydub
silence = AudioSegment.silent(duration=int(duration * 1000)) # pydub uses milliseconds
return silence
@staticmethod
def _generate_audio_segment(
client: openai.OpenAI,
line: str,
voice: Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
index: int,
) -> tuple[int, Union[AudioSegment, str], Optional[AudioSegment]]:
try:
response = client.audio.speech.create(model="tts-1", voice=voice, input=line.strip(), response_format="wav")
audio = AudioSegment.from_wav(io.BytesIO(response.content))
silence_duration = random.uniform(0.1, 1.5)
silence = PodcastAudioGeneratorTool._generate_silence(silence_duration)
return index, audio, silence
except Exception as e:
return index, f"Error generating audio: {str(e)}", None
def _invoke(
self, user_id: str, tool_parameters: dict[str, Any]
) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
# Extract parameters
script = tool_parameters.get("script", "")
host1_voice = tool_parameters.get("host1_voice")
host2_voice = tool_parameters.get("host2_voice")
# Split the script into lines
script_lines = [line for line in script.split("\n") if line.strip()]
# Ensure voices are provided
if not host1_voice or not host2_voice:
raise ToolParameterValidationError("Host voices are required")
# Get OpenAI API key from credentials
if not self.runtime or not self.runtime.credentials:
raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing")
api_key = self.runtime.credentials.get("api_key")
if not api_key:
raise ToolProviderCredentialValidationError("OpenAI API key is missing")
# Initialize OpenAI client
client = openai.OpenAI(api_key=api_key)
# Create a thread pool
max_workers = 5
with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = []
for i, line in enumerate(script_lines):
voice = host1_voice if i % 2 == 0 else host2_voice
future = executor.submit(self._generate_audio_segment, client, line, voice, i)
futures.append(future)
# Collect results
audio_segments: list[Any] = [None] * len(script_lines)
for future in concurrent.futures.as_completed(futures):
index, audio, silence = future.result()
if isinstance(audio, str): # Error occurred
return self.create_text_message(audio)
audio_segments[index] = (audio, silence)
# Combine audio segments in the correct order
combined_audio = AudioSegment.empty()
for i, (audio, silence) in enumerate(audio_segments):
if audio:
combined_audio += audio
if i < len(audio_segments) - 1 and silence:
combined_audio += silence
# Export the combined audio to a WAV file in memory
buffer = io.BytesIO()
combined_audio.export(buffer, format="wav")
wav_bytes = buffer.getvalue()
# Create a blob message with the combined audio
return [
self.create_text_message("Audio generated successfully"),
self.create_blob_message(
blob=wav_bytes,
meta={"mime_type": "audio/x-wav"},
save_as=self.VariableKey.AUDIO,
),
]

View File

@ -0,0 +1,95 @@
identity:
name: podcast_audio_generator
author: Dify
label:
en_US: Podcast Audio Generator
zh_Hans: 播客音频生成器
description:
human:
en_US: Generate a podcast audio file from a script with two alternating voices using OpenAI's TTS service.
zh_Hans: 使用 OpenAI 的 TTS 服务,从包含两个交替声音的脚本生成播客音频文件。
llm: This tool converts a prepared podcast script into an audio file using OpenAI's Text-to-Speech service, with two specified voices for alternating hosts.
parameters:
- name: script
type: string
required: true
label:
en_US: Podcast Script
zh_Hans: 播客脚本
human_description:
en_US: A string containing alternating lines for two hosts, separated by newline characters.
zh_Hans: 包含两位主持人交替台词的字符串,每行用换行符分隔。
llm_description: A string representing the script, with alternating lines for two hosts separated by newline characters.
form: llm
- name: host1_voice
type: select
required: true
label:
en_US: Host 1 Voice
zh_Hans: 主持人1 音色
human_description:
en_US: The voice for the first host.
zh_Hans: 第一位主持人的音色。
llm_description: The voice identifier for the first host's voice.
options:
- label:
en_US: Alloy
zh_Hans: Alloy
value: alloy
- label:
en_US: Echo
zh_Hans: Echo
value: echo
- label:
en_US: Fable
zh_Hans: Fable
value: fable
- label:
en_US: Onyx
zh_Hans: Onyx
value: onyx
- label:
en_US: Nova
zh_Hans: Nova
value: nova
- label:
en_US: Shimmer
zh_Hans: Shimmer
value: shimmer
form: form
- name: host2_voice
type: select
required: true
label:
en_US: Host 2 Voice
zh_Hans: 主持人2 音色
human_description:
en_US: The voice for the second host.
zh_Hans: 第二位主持人的音色。
llm_description: The voice identifier for the second host's voice.
options:
- label:
en_US: Alloy
zh_Hans: Alloy
value: alloy
- label:
en_US: Echo
zh_Hans: Echo
value: echo
- label:
en_US: Fable
zh_Hans: Fable
value: fable
- label:
en_US: Onyx
zh_Hans: Onyx
value: onyx
- label:
en_US: Nova
zh_Hans: Nova
value: nova
- label:
en_US: Shimmer
zh_Hans: Shimmer
value: shimmer
form: form

View File

@ -13,7 +13,6 @@ from core.tools.errors import (
from core.tools.provider.tool_provider import ToolProviderController
from core.tools.tool.builtin_tool import BuiltinTool
from core.tools.tool.tool import Tool
from core.tools.utils.tool_parameter_converter import ToolParameterConverter
from core.tools.utils.yaml_utils import load_yaml_file
@ -208,9 +207,7 @@ class BuiltinToolProviderController(ToolProviderController):
# the parameter is not set currently, set the default value if needed
if parameter_schema.default is not None:
default_value = ToolParameterConverter.cast_parameter_by_type(
parameter_schema.default, parameter_schema.type
)
default_value = parameter_schema.type.cast_value(parameter_schema.default)
tool_parameters[parameter] = default_value
def validate_credentials(self, credentials: dict[str, Any]) -> None:

View File

@ -11,7 +11,6 @@ from core.tools.entities.tool_entities import (
)
from core.tools.errors import ToolNotFoundError, ToolParameterValidationError, ToolProviderCredentialValidationError
from core.tools.tool.tool import Tool
from core.tools.utils.tool_parameter_converter import ToolParameterConverter
class ToolProviderController(BaseModel, ABC):
@ -127,9 +126,7 @@ class ToolProviderController(BaseModel, ABC):
# the parameter is not set currently, set the default value if needed
if parameter_schema.default is not None:
tool_parameters[parameter] = ToolParameterConverter.cast_parameter_by_type(
parameter_schema.default, parameter_schema.type
)
tool_parameters[parameter] = parameter_schema.type.cast_value(parameter_schema.default)
def validate_credentials_format(self, credentials: dict[str, Any]) -> None:
"""

View File

@ -1,6 +1,6 @@
from typing import Optional
from core.app.app_config.entities import VariableEntity, VariableEntityType
from core.app.app_config.entities import VariableEntityType
from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager
from core.tools.entities.common_entities import I18nObject
from core.tools.entities.tool_entities import (
@ -23,6 +23,8 @@ VARIABLE_TO_PARAMETER_TYPE_MAPPING = {
VariableEntityType.PARAGRAPH: ToolParameter.ToolParameterType.STRING,
VariableEntityType.SELECT: ToolParameter.ToolParameterType.SELECT,
VariableEntityType.NUMBER: ToolParameter.ToolParameterType.NUMBER,
VariableEntityType.FILE: ToolParameter.ToolParameterType.FILE,
VariableEntityType.FILE_LIST: ToolParameter.ToolParameterType.FILES,
}
@ -36,8 +38,8 @@ class WorkflowToolProviderController(ToolProviderController):
if not app:
raise ValueError("app not found")
controller = WorkflowToolProviderController(
**{
controller = WorkflowToolProviderController.model_validate(
{
"identity": {
"author": db_provider.user.name if db_provider.user_id and db_provider.user else "",
"name": db_provider.label,
@ -67,7 +69,7 @@ class WorkflowToolProviderController(ToolProviderController):
:param app: the app
:return: the tool
"""
workflow: Workflow = (
workflow = (
db.session.query(Workflow)
.filter(Workflow.app_id == db_provider.app_id, Workflow.version == db_provider.version)
.first()
@ -76,14 +78,14 @@ class WorkflowToolProviderController(ToolProviderController):
raise ValueError("workflow not found")
# fetch start node
graph: dict = workflow.graph_dict
features_dict: dict = workflow.features_dict
graph = workflow.graph_dict
features_dict = workflow.features_dict
features = WorkflowAppConfigManager.convert_features(config_dict=features_dict, app_mode=AppMode.WORKFLOW)
parameters = db_provider.parameter_configurations
variables = WorkflowToolConfigurationUtils.get_workflow_graph_variables(graph)
def fetch_workflow_variable(variable_name: str) -> VariableEntity:
def fetch_workflow_variable(variable_name: str):
return next(filter(lambda x: x.variable == variable_name, variables), None)
user = db_provider.user
@ -114,7 +116,6 @@ class WorkflowToolProviderController(ToolProviderController):
llm_description=parameter.description,
required=variable.required,
options=options,
default=variable.default,
)
)
elif features.file_upload:
@ -123,7 +124,7 @@ class WorkflowToolProviderController(ToolProviderController):
name=parameter.name,
label=I18nObject(en_US=parameter.name, zh_Hans=parameter.name),
human_description=I18nObject(en_US=parameter.description, zh_Hans=parameter.description),
type=ToolParameter.ToolParameterType.FILE,
type=ToolParameter.ToolParameterType.SYSTEM_FILES,
llm_description=parameter.description,
required=False,
form=parameter.form,

View File

@ -20,10 +20,9 @@ from core.tools.entities.tool_entities import (
ToolRuntimeVariablePool,
)
from core.tools.tool_file_manager import ToolFileManager
from core.tools.utils.tool_parameter_converter import ToolParameterConverter
if TYPE_CHECKING:
from core.file.file_obj import FileVar
from core.file.models import File
class Tool(BaseModel, ABC):
@ -63,8 +62,12 @@ class Tool(BaseModel, ABC):
def __init__(self, **data: Any):
super().__init__(**data)
class VariableKey(Enum):
class VariableKey(str, Enum):
IMAGE = "image"
DOCUMENT = "document"
VIDEO = "video"
AUDIO = "audio"
CUSTOM = "custom"
def fork_tool_runtime(self, runtime: dict[str, Any]) -> "Tool":
"""
@ -221,9 +224,7 @@ class Tool(BaseModel, ABC):
result = deepcopy(tool_parameters)
for parameter in self.parameters or []:
if parameter.name in tool_parameters:
result[parameter.name] = ToolParameterConverter.cast_parameter_by_type(
tool_parameters[parameter.name], parameter.type
)
result[parameter.name] = parameter.type.cast_value(tool_parameters[parameter.name])
return result
@ -295,10 +296,8 @@ class Tool(BaseModel, ABC):
"""
return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.IMAGE, message=image, save_as=save_as)
def create_file_var_message(self, file_var: "FileVar") -> ToolInvokeMessage:
return ToolInvokeMessage(
type=ToolInvokeMessage.MessageType.FILE_VAR, message="", meta={"file_var": file_var}, save_as=""
)
def create_file_message(self, file: "File") -> ToolInvokeMessage:
return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.FILE, message="", meta={"file": file}, save_as="")
def create_link_message(self, link: str, save_as: str = "") -> ToolInvokeMessage:
"""

View File

@ -3,7 +3,7 @@ import logging
from copy import deepcopy
from typing import Any, Optional, Union
from core.file.file_obj import FileTransferMethod, FileVar
from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod
from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolProviderType
from core.tools.tool.tool import Tool
from extensions.ext_database import db
@ -45,11 +45,13 @@ class WorkflowTool(Tool):
workflow = self._get_workflow(app_id=self.workflow_app_id, version=self.version)
# transform the tool parameters
tool_parameters, files = self._transform_args(tool_parameters)
tool_parameters, files = self._transform_args(tool_parameters=tool_parameters)
from core.app.apps.workflow.app_generator import WorkflowAppGenerator
generator = WorkflowAppGenerator()
assert self.runtime is not None
assert self.runtime.invoke_from is not None
result = generator.generate(
app_model=app,
workflow=workflow,
@ -74,7 +76,7 @@ class WorkflowTool(Tool):
else:
outputs, files = self._extract_files(outputs)
for file in files:
result.append(self.create_file_var_message(file))
result.append(self.create_file_message(file))
result.append(self.create_text_message(json.dumps(outputs, ensure_ascii=False)))
result.append(self.create_json_message(outputs))
@ -154,22 +156,22 @@ class WorkflowTool(Tool):
parameters_result = {}
files = []
for parameter in parameter_rules:
if parameter.type == ToolParameter.ToolParameterType.FILE:
if parameter.type == ToolParameter.ToolParameterType.SYSTEM_FILES:
file = tool_parameters.get(parameter.name)
if file:
try:
file_var_list = [FileVar(**f) for f in file]
for file_var in file_var_list:
file_dict = {
"transfer_method": file_var.transfer_method.value,
"type": file_var.type.value,
file_var_list = [File.model_validate(f) for f in file]
for file in file_var_list:
file_dict: dict[str, str | None] = {
"transfer_method": file.transfer_method.value,
"type": file.type.value,
}
if file_var.transfer_method == FileTransferMethod.TOOL_FILE:
file_dict["tool_file_id"] = file_var.related_id
elif file_var.transfer_method == FileTransferMethod.LOCAL_FILE:
file_dict["upload_file_id"] = file_var.related_id
elif file_var.transfer_method == FileTransferMethod.REMOTE_URL:
file_dict["url"] = file_var.preview_url
if file.transfer_method == FileTransferMethod.TOOL_FILE:
file_dict["tool_file_id"] = file.related_id
elif file.transfer_method == FileTransferMethod.LOCAL_FILE:
file_dict["upload_file_id"] = file.related_id
elif file.transfer_method == FileTransferMethod.REMOTE_URL:
file_dict["url"] = file.generate_url()
files.append(file_dict)
except Exception as e:
@ -179,7 +181,7 @@ class WorkflowTool(Tool):
return parameters_result, files
def _extract_files(self, outputs: dict) -> tuple[dict, list[FileVar]]:
def _extract_files(self, outputs: dict) -> tuple[dict, list[File]]:
"""
extract files from the result
@ -190,17 +192,13 @@ class WorkflowTool(Tool):
result = {}
for key, value in outputs.items():
if isinstance(value, list):
has_file = False
for item in value:
if isinstance(item, dict) and item.get("__variant") == "FileVar":
try:
files.append(FileVar(**item))
has_file = True
except Exception as e:
pass
if has_file:
continue
if isinstance(item, dict) and item.get("dify_model_identity") == FILE_MODEL_IDENTITY:
file = File.model_validate(item)
files.append(file)
elif isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY:
file = File.model_validate(value)
files.append(file)
result[key] = value
return result, files

View File

@ -10,7 +10,8 @@ from yarl import URL
from core.app.entities.app_invoke_entities import InvokeFrom
from core.callback_handler.agent_tool_callback_handler import DifyAgentCallbackHandler
from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler
from core.file.file_obj import FileTransferMethod
from core.file import FileType
from core.file.models import FileTransferMethod
from core.ops.ops_trace_manager import TraceQueueManager
from core.tools.entities.tool_entities import ToolInvokeMessage, ToolInvokeMessageBinary, ToolInvokeMeta, ToolParameter
from core.tools.errors import (
@ -26,6 +27,7 @@ from core.tools.tool.tool import Tool
from core.tools.tool.workflow_tool import WorkflowTool
from core.tools.utils.message_transformer import ToolFileMessageTransformer
from extensions.ext_database import db
from models.enums import CreatedByRole
from models.model import Message, MessageFile
@ -128,6 +130,7 @@ class ToolEngine:
"""
try:
# hit the callback handler
assert tool.identity is not None
workflow_tool_callback.on_tool_start(tool_name=tool.identity.name, tool_inputs=tool_parameters)
if isinstance(tool, WorkflowTool):
@ -258,7 +261,10 @@ class ToolEngine:
@staticmethod
def _create_message_files(
tool_messages: list[ToolInvokeMessageBinary], agent_message: Message, invoke_from: InvokeFrom, user_id: str
tool_messages: list[ToolInvokeMessageBinary],
agent_message: Message,
invoke_from: InvokeFrom,
user_id: str,
) -> list[tuple[Any, str]]:
"""
Create message file
@ -269,29 +275,31 @@ class ToolEngine:
result = []
for message in tool_messages:
file_type = "bin"
if "image" in message.mimetype:
file_type = "image"
file_type = FileType.IMAGE
elif "video" in message.mimetype:
file_type = "video"
file_type = FileType.VIDEO
elif "audio" in message.mimetype:
file_type = "audio"
elif "text" in message.mimetype:
file_type = "text"
elif "pdf" in message.mimetype:
file_type = "pdf"
elif "zip" in message.mimetype:
file_type = "archive"
# ...
file_type = FileType.AUDIO
elif "text" in message.mimetype or "pdf" in message.mimetype:
file_type = FileType.DOCUMENT
else:
file_type = FileType.CUSTOM
# extract tool file id from url
tool_file_id = message.url.split("/")[-1].split(".")[0]
message_file = MessageFile(
message_id=agent_message.id,
type=file_type,
transfer_method=FileTransferMethod.TOOL_FILE.value,
transfer_method=FileTransferMethod.TOOL_FILE,
belongs_to="assistant",
url=message.url,
upload_file_id=None,
created_by_role=("account" if invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER} else "end_user"),
upload_file_id=tool_file_id,
created_by_role=(
CreatedByRole.ACCOUNT
if invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER}
else CreatedByRole.END_USER
),
created_by=user_id,
)

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