fix: MD5 and 8‑hex Suffix Collision Risk

.github/workflows/api-tests.yml

@@ -42,7 +42,11 @@ jobs:
       - name: Run Unit tests
         run: |
           uv run --project api bash dev/pytest/pytest_unit_tests.sh
-
+      - name: Run ty check
+        run: |
+          cd api
+          uv add --dev ty
+          uv run ty check || true
       - name: Run pyrefly check
         run: |
           cd api
@@ -62,6 +66,15 @@ jobs:
       - name: Run dify config tests
         run: uv run --project api dev/pytest/pytest_config_tests.py
 
+      - name: MyPy Cache
+        uses: actions/cache@v4
+        with:
+          path: api/.mypy_cache
+          key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/uv.lock') }}
+
+      - name: Run MyPy Checks
+        run: dev/mypy-check
+
       - name: Set up dotenvs
         run: |
           cp docker/.env.example docker/.env

.github/workflows/build-push.yml

@@ -8,8 +8,6 @@ on:
       - "deploy/enterprise"
       - "build/**"
       - "release/e-*"
-      - "deploy/rag-dev"
-      - "feat/rag-2"
     tags:
       - "*"
 

.github/workflows/deploy-dev.yml

@@ -4,7 +4,7 @@ on:
   workflow_run:
     workflows: ["Build and Push API & Web"]
     branches:
-      - "deploy/rag-dev"
+      - "deploy/dev"
     types:
       - completed
 
@@ -12,13 +12,12 @@ jobs:
   deploy:
     runs-on: ubuntu-latest
     if: |
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.head_branch == 'deploy/rag-dev'
+      github.event.workflow_run.conclusion == 'success'
     steps:
       - name: Deploy to server
         uses: appleboy/ssh-action@v0.1.8
         with:
-          host: ${{ secrets.RAG_SSH_HOST }}
+          host: ${{ secrets.SSH_HOST }}
           username: ${{ secrets.SSH_USER }}
           key: ${{ secrets.SSH_PRIVATE_KEY }}
           script: |

.github/workflows/style.yml

@@ -12,6 +12,7 @@ permissions:
   statuses: write
   contents: read
 
+
 jobs:
   python-style:
     name: Python Style
@@ -43,10 +44,6 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         run: uv sync --project api --dev
 
-      - name: Run Basedpyright Checks
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: dev/basedpyright-check
-
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
         run: uv run --project api dotenv-linter ./api/.env.example ./web/.env.example
@@ -92,9 +89,7 @@ jobs:
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
-        run: |
-          pnpm run lint
-          pnpm run eslint
+        run: pnpm run lint
 
   docker-compose-template:
     name: Docker Compose Template

.github/workflows/translate-i18n-base-on-english.yml

@@ -67,22 +67,12 @@ jobs:
         working-directory: ./web
         run: pnpm run auto-gen-i18n ${{ env.FILE_ARGS }}
 
-      - name: Generate i18n type definitions
-        if: env.FILES_CHANGED == 'true'
-        working-directory: ./web
-        run: pnpm run gen:i18n-types
-
       - name: Create Pull Request
         if: env.FILES_CHANGED == 'true'
         uses: peter-evans/create-pull-request@v6
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
-          commit-message: Update i18n files and type definitions based on en-US changes
-          title: 'chore: translate i18n files and update type definitions'
-          body: |
-            This PR was automatically created to update i18n files and TypeScript type definitions based on changes in en-US locale.
-            
-            **Changes included:**
-            - Updated translation files for all locales
-            - Regenerated TypeScript type definitions for type safety
+          commit-message: Update i18n files based on en-US changes
+          title: 'chore: translate i18n files'
+          body: This PR was automatically created to update i18n files based on changes in en-US locale.
           branch: chore/automated-i18n-updates

.github/workflows/web-tests.yml

@@ -47,11 +47,6 @@ jobs:
         working-directory: ./web
         run: pnpm install --frozen-lockfile
 
-      - name: Check i18n types synchronization
-        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: pnpm run check:i18n-types
-
       - name: Run tests
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web

.gitignore

@@ -123,12 +123,10 @@ venv.bak/
 # mkdocs documentation
 /site
 
-# type checking
+# mypy
 .mypy_cache/
 .dmypy.json
 dmypy.json
-pyrightconfig.json
-!api/pyrightconfig.json
 
 # Pyre type checker
 .pyre/
@@ -197,6 +195,7 @@ sdks/python-client/dify_client.egg-info
 .vscode/*
 !.vscode/launch.json.template
 !.vscode/README.md
+pyrightconfig.json
 api/.vscode
 # vscode Code History Extension
 .history

CLAUDE.md

@@ -32,7 +32,7 @@ uv run --project api pytest tests/integration_tests/  # Integration tests
 ./dev/reformat                    # Run all formatters and linters
 uv run --project api ruff check --fix ./    # Fix linting issues
 uv run --project api ruff format ./         # Format code
-uv run --directory api basedpyright         # Type checking
+uv run --project api mypy .                 # Type checking
 ```
 
 ### Frontend (Web)

Makefile

@@ -4,48 +4,6 @@ WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
 API_IMAGE=$(DOCKER_REGISTRY)/dify-api
 VERSION=latest
 
-# Backend Development Environment Setup
-.PHONY: dev-setup prepare-docker prepare-web prepare-api
-
-# Default dev setup target
-dev-setup: prepare-docker prepare-web prepare-api
-	@echo "✅ Backend development environment setup complete!"
-
-# Step 1: Prepare Docker middleware
-prepare-docker:
-	@echo "🐳 Setting up Docker middleware..."
-	@cp -n docker/middleware.env.example docker/middleware.env 2>/dev/null || echo "Docker middleware.env already exists"
-	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev up -d
-	@echo "✅ Docker middleware started"
-
-# Step 2: Prepare web environment
-prepare-web:
-	@echo "🌐 Setting up web environment..."
-	@cp -n web/.env.example web/.env 2>/dev/null || echo "Web .env already exists"
-	@cd web && pnpm install
-	@cd web && pnpm build
-	@echo "✅ Web environment prepared (not started)"
-
-# Step 3: Prepare API environment
-prepare-api:
-	@echo "🔧 Setting up API environment..."
-	@cp -n api/.env.example api/.env 2>/dev/null || echo "API .env already exists"
-	@cd api && uv sync --dev
-	@cd api && uv run flask db upgrade
-	@echo "✅ API environment prepared (not started)"
-
-# Clean dev environment
-dev-clean:
-	@echo "⚠️  Stopping Docker containers..."
-	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev down
-	@echo "🗑️  Removing volumes..."
-	@rm -rf docker/volumes/db
-	@rm -rf docker/volumes/redis
-	@rm -rf docker/volumes/plugin_daemon
-	@rm -rf docker/volumes/weaviate
-	@rm -rf api/storage
-	@echo "✅ Cleanup complete"
-
 # Build Docker images
 build-web:
 	@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
@@ -81,21 +39,5 @@ build-push-web: build-web push-web
 build-push-all: build-all push-all
 	@echo "All Docker images have been built and pushed."
 
-# Help target
-help:
-	@echo "Development Setup Targets:"
-	@echo "  make dev-setup      - Run all setup steps for backend dev environment"
-	@echo "  make prepare-docker - Set up Docker middleware"
-	@echo "  make prepare-web    - Set up web environment"
-	@echo "  make prepare-api    - Set up API environment"
-	@echo "  make dev-clean      - Stop Docker middleware containers"
-	@echo ""
-	@echo "Docker Build Targets:"
-	@echo "  make build-web      - Build web Docker image"
-	@echo "  make build-api      - Build API Docker image"
-	@echo "  make build-all      - Build all Docker images"
-	@echo "  make push-all       - Push all Docker images"
-	@echo "  make build-push-all - Build and push all Docker images"
-
 # Phony targets
-.PHONY: build-web build-api push-web push-api build-all push-all build-push-all dev-setup prepare-docker prepare-web prepare-api dev-clean help
+.PHONY: build-web build-api push-web push-api build-all push-all build-push-all

api/.env.example

@@ -75,7 +75,6 @@ DB_PASSWORD=difyai123456
 DB_HOST=localhost
 DB_PORT=5432
 DB_DATABASE=dify
-SQLALCHEMY_POOL_PRE_PING=true
 
 # Storage configuration
 # use for store upload files, private keys...
@@ -157,7 +156,7 @@ WEB_API_CORS_ALLOW_ORIGINS=http://localhost:3000,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://localhost:3000,*
 
 # Vector database configuration
-# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`, `oceanbase`, `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`.
+# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`, `oceanbase`, `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`, `pinecone`.
 VECTOR_STORE=weaviate
 # Prefix used to create collection name in vector database
 VECTOR_INDEX_NAME_PREFIX=Vector_index
@@ -362,6 +361,17 @@ PROMPT_GENERATION_MAX_TOKENS=512
 CODE_GENERATION_MAX_TOKENS=1024
 PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false
 
+
+# Pinecone configuration, only available when VECTOR_STORE is `pinecone`
+PINECONE_API_KEY=your-pinecone-api-key
+PINECONE_ENVIRONMENT=your-pinecone-environment
+PINECONE_INDEX_NAME=dify-index
+PINECONE_CLIENT_TIMEOUT=30
+PINECONE_BATCH_SIZE=100
+PINECONE_METRIC=cosine
+PINECONE_PODS=1
+PINECONE_POD_TYPE=s1
+
 # Mail configuration, support: resend, smtp, sendgrid
 MAIL_TYPE=
 # If using SendGrid, use the 'from' field for authentication if necessary.
@@ -461,16 +471,6 @@ WORKFLOW_CALL_MAX_DEPTH=5
 WORKFLOW_PARALLEL_DEPTH_LIMIT=3
 MAX_VARIABLE_SIZE=204800
 
-# GraphEngine Worker Pool Configuration
-# Minimum number of workers per GraphEngine instance (default: 1)
-GRAPH_ENGINE_MIN_WORKERS=1
-# Maximum number of workers per GraphEngine instance (default: 10)
-GRAPH_ENGINE_MAX_WORKERS=10
-# Queue depth threshold that triggers worker scale up (default: 3)
-GRAPH_ENGINE_SCALE_UP_THRESHOLD=3
-# Seconds of idle time before scaling down workers (default: 5.0)
-GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME=5.0
-
 # Workflow storage configuration
 # Options: rdbms, hybrid
 # rdbms: Use only the relational database (default)

api/.importlinter

@@ -1,112 +0,0 @@
-[importlinter]
-root_packages =
-    core
-    configs
-    controllers
-    models
-    tasks
-    services
-
-[importlinter:contract:workflow]
-name = Workflow
-type=layers
-layers =
-    graph_engine
-    graph_events
-    graph
-    nodes
-    node_events
-    entities
-containers =
-    core.workflow
-ignore_imports =
-    core.workflow.nodes.base.node -> core.workflow.graph_events
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_events
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine.command_channels
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_events
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine.command_channels
-    core.workflow.nodes.node_factory -> core.workflow.graph
-
-[importlinter:contract:rsc]
-name = RSC
-type = layers
-layers =
-    graph_engine
-    response_coordinator
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:worker]
-name = Worker
-type = layers
-layers =
-    graph_engine
-    worker
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:graph-engine-architecture]
-name = Graph Engine Architecture
-type = layers
-layers =
-    graph_engine
-    orchestration
-    command_processing
-    event_management
-    error_handling
-    graph_traversal
-    state_management
-    worker_management
-    domain
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:domain-isolation]
-name = Domain Model Isolation
-type = forbidden
-source_modules =
-    core.workflow.graph_engine.domain
-forbidden_modules =
-    core.workflow.graph_engine.worker_management
-    core.workflow.graph_engine.command_channels
-    core.workflow.graph_engine.layers
-    core.workflow.graph_engine.protocols
-
-[importlinter:contract:worker-management]
-name = Worker Management
-type = forbidden
-source_modules =
-    core.workflow.graph_engine.worker_management
-forbidden_modules =
-    core.workflow.graph_engine.orchestration
-    core.workflow.graph_engine.command_processing
-    core.workflow.graph_engine.event_management
-
-[importlinter:contract:error-handling-strategies]
-name = Error Handling Strategies
-type = independence
-modules =
-    core.workflow.graph_engine.error_handling.abort_strategy
-    core.workflow.graph_engine.error_handling.retry_strategy
-    core.workflow.graph_engine.error_handling.fail_branch_strategy
-    core.workflow.graph_engine.error_handling.default_value_strategy
-
-[importlinter:contract:graph-traversal-components]
-name = Graph Traversal Components
-type = layers
-layers =
-    edge_processor
-    skip_propagator
-containers =
-    core.workflow.graph_engine.graph_traversal
-
-[importlinter:contract:command-channels]
-name = Command Channels Independence
-type = independence
-modules =
-    core.workflow.graph_engine.command_channels.in_memory_channel
-    core.workflow.graph_engine.command_channels.redis_channel

api/README.md

@@ -108,5 +108,5 @@ uv run celery -A app.celery beat
    ../dev/reformat               # Run all formatters and linters
    uv run ruff check --fix ./    # Fix linting issues
    uv run ruff format ./         # Format code
-   uv run basedpyright .         # Type checking
+   uv run mypy .                 # Type checking
    ```

api/app.py

@@ -1,3 +1,4 @@
+import os
 import sys
 
 
@@ -16,20 +17,20 @@ else:
     # It seems that JetBrains Python debugger does not work well with gevent,
     # so we need to disable gevent in debug mode.
     # If you are using debugpy and set GEVENT_SUPPORT=True, you can debug with gevent.
-    # if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
-    # from gevent import monkey
-    #
-    # # gevent
-    # monkey.patch_all()
-    #
-    # from grpc.experimental import gevent as grpc_gevent  # type: ignore
-    #
-    # # grpc gevent
-    # grpc_gevent.init_gevent()
+    if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
+        from gevent import monkey
 
-    # import psycogreen.gevent  # type: ignore
-    #
-    # psycogreen.gevent.patch_psycopg()
+        # gevent
+        monkey.patch_all()
+
+        from grpc.experimental import gevent as grpc_gevent  # type: ignore
+
+        # grpc gevent
+        grpc_gevent.init_gevent()
+
+        import psycogreen.gevent  # type: ignore
+
+        psycogreen.gevent.patch_psycopg()
 
     from app_factory import create_app
 

api/celery_entrypoint.py

@@ -1,22 +0,0 @@
-import logging
-
-import psycogreen.gevent as pscycogreen_gevent  # type: ignore
-from grpc.experimental import gevent as grpc_gevent  # type: ignore
-
-_logger = logging.getLogger(__name__)
-
-
-def _log(message: str):
-    print(message, flush=True)
-
-
-# grpc gevent
-grpc_gevent.init_gevent()
-_log("gRPC  patched with gevent.")
-pscycogreen_gevent.patch_psycopg()
-_log("psycopg2 patched with gevent.")
-
-
-from app import app, celery
-
-__all__ = ["app", "celery"]

api/child_class.py

@@ -0,0 +1,11 @@
+from tests.integration_tests.utils.parent_class import ParentClass
+
+
+class ChildClass(ParentClass):
+    """Test child class for module import helper tests"""
+
+    def __init__(self, name):
+        super().__init__(name)
+
+    def get_name(self):
+        return f"Child: {self.name}"

api/commands.py

@@ -13,14 +13,11 @@ from sqlalchemy.exc import SQLAlchemyError
 
 from configs import dify_config
 from constants.languages import languages
-from core.helper import encrypter
-from core.plugin.entities.plugin import PluginInstallationSource
-from core.plugin.impl.plugin import PluginInstaller
+from core.plugin.entities.plugin import ToolProviderID
 from core.rag.datasource.vdb.vector_factory import Vector
 from core.rag.datasource.vdb.vector_type import VectorType
 from core.rag.index_processor.constant.built_in_field import BuiltInField
 from core.rag.models.document import Document
-from core.tools.entities.tool_entities import CredentialType
 from core.tools.utils.system_oauth_encryption import encrypt_system_oauth_params
 from events.app_event import app_was_created
 from extensions.ext_database import db
@@ -33,16 +30,12 @@ from models import Tenant
 from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, DatasetMetadataBinding, DocumentSegment
 from models.dataset import Document as DatasetDocument
 from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
-from models.oauth import DatasourceOauthParamConfig, DatasourceProvider
 from models.provider import Provider, ProviderModel
-from models.provider_ids import DatasourceProviderID, ToolProviderID
-from models.source import DataSourceApiKeyAuthBinding, DataSourceOauthBinding
 from models.tools import ToolOAuthSystemClient
 from services.account_service import AccountService, RegisterService, TenantService
 from services.clear_free_plan_tenant_expired_logs import ClearFreePlanTenantExpiredLogs
 from services.plugin.data_migration import PluginDataMigration
 from services.plugin.plugin_migration import PluginMigration
-from services.plugin.plugin_service import PluginService
 from tasks.remove_app_and_related_data_task import delete_draft_variables_batch
 
 logger = logging.getLogger(__name__)
@@ -578,7 +571,7 @@ def old_metadata_migration():
         for document in documents:
             if document.doc_metadata:
                 doc_metadata = document.doc_metadata
-                for key in doc_metadata:
+                for key, value in doc_metadata.items():
                     for field in BuiltInField:
                         if field.value == key:
                             break
@@ -1240,17 +1233,15 @@ def _find_orphaned_draft_variables(batch_size: int = 1000) -> list[str]:
 
 def _count_orphaned_draft_variables() -> dict[str, Any]:
     """
-    Count orphaned draft variables by app, including associated file counts.
+    Count orphaned draft variables by app.
 
     Returns:
-        Dictionary with statistics about orphaned variables and files
+        Dictionary with statistics about orphaned variables
     """
-    # Count orphaned variables by app
-    variables_query = """
+    query = """
         SELECT
             wdv.app_id,
-            COUNT(*) as variable_count,
-            COUNT(wdv.file_id) as file_count
+            COUNT(*) as variable_count
         FROM workflow_draft_variables AS wdv
         WHERE NOT EXISTS(
             SELECT 1 FROM apps WHERE apps.id = wdv.app_id
@@ -1260,21 +1251,14 @@ def _count_orphaned_draft_variables() -> dict[str, Any]:
     """
 
     with db.engine.connect() as conn:
-        result = conn.execute(sa.text(variables_query))
-        orphaned_by_app = {}
-        total_files = 0
+        result = conn.execute(sa.text(query))
+        orphaned_by_app = {row[0]: row[1] for row in result}
 
-        for row in result:
-            app_id, variable_count, file_count = row
-            orphaned_by_app[app_id] = {"variables": variable_count, "files": file_count}
-            total_files += file_count
-
-        total_orphaned = sum(app_data["variables"] for app_data in orphaned_by_app.values())
+        total_orphaned = sum(orphaned_by_app.values())
         app_count = len(orphaned_by_app)
 
         return {
             "total_orphaned_variables": total_orphaned,
-            "total_orphaned_files": total_files,
             "orphaned_app_count": app_count,
             "orphaned_by_app": orphaned_by_app,
         }
@@ -1303,7 +1287,6 @@ def cleanup_orphaned_draft_variables(
     stats = _count_orphaned_draft_variables()
 
     logger.info("Found %s orphaned draft variables", stats["total_orphaned_variables"])
-    logger.info("Found %s associated offload files", stats["total_orphaned_files"])
     logger.info("Across %s non-existent apps", stats["orphaned_app_count"])
 
     if stats["total_orphaned_variables"] == 0:
@@ -1312,10 +1295,10 @@ def cleanup_orphaned_draft_variables(
 
     if dry_run:
         logger.info("DRY RUN: Would delete the following:")
-        for app_id, data in sorted(stats["orphaned_by_app"].items(), key=lambda x: x[1]["variables"], reverse=True)[
+        for app_id, count in sorted(stats["orphaned_by_app"].items(), key=lambda x: x[1], reverse=True)[
             :10
         ]:  # Show top 10
-            logger.info("  App %s: %s variables, %s files", app_id, data["variables"], data["files"])
+            logger.info("  App %s: %s variables", app_id, count)
         if len(stats["orphaned_by_app"]) > 10:
             logger.info("  ... and %s more apps", len(stats["orphaned_by_app"]) - 10)
         return
@@ -1324,8 +1307,7 @@ def cleanup_orphaned_draft_variables(
     if not force:
         click.confirm(
             f"Are you sure you want to delete {stats['total_orphaned_variables']} "
-            f"orphaned draft variables and {stats['total_orphaned_files']} associated files "
-            f"from {stats['orphaned_app_count']} apps?",
+            f"orphaned draft variables from {stats['orphaned_app_count']} apps?",
             abort=True,
         )
 
@@ -1358,231 +1340,3 @@ def cleanup_orphaned_draft_variables(
                 continue
 
     logger.info("Cleanup completed. Total deleted: %s variables across %s apps", total_deleted, processed_apps)
-
-
-@click.command("setup-datasource-oauth-client", help="Setup datasource oauth client.")
-@click.option("--provider", prompt=True, help="Provider name")
-@click.option("--client-params", prompt=True, help="Client Params")
-def setup_datasource_oauth_client(provider, client_params):
-    """
-    Setup datasource oauth client
-    """
-    provider_id = DatasourceProviderID(provider)
-    provider_name = provider_id.provider_name
-    plugin_id = provider_id.plugin_id
-
-    try:
-        # json validate
-        click.echo(click.style(f"Validating client params: {client_params}", fg="yellow"))
-        client_params_dict = TypeAdapter(dict[str, Any]).validate_json(client_params)
-        click.echo(click.style("Client params validated successfully.", fg="green"))
-    except Exception as e:
-        click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))
-        return
-
-    click.echo(click.style(f"Ready to delete existing oauth client params: {provider_name}", fg="yellow"))
-    deleted_count = (
-        db.session.query(DatasourceOauthParamConfig)
-        .filter_by(
-            provider=provider_name,
-            plugin_id=plugin_id,
-        )
-        .delete()
-    )
-    if deleted_count > 0:
-        click.echo(click.style(f"Deleted {deleted_count} existing oauth client params.", fg="yellow"))
-
-    click.echo(click.style(f"Ready to setup datasource oauth client: {provider_name}", fg="yellow"))
-    oauth_client = DatasourceOauthParamConfig(
-        provider=provider_name,
-        plugin_id=plugin_id,
-        system_credentials=client_params_dict,
-    )
-    db.session.add(oauth_client)
-    db.session.commit()
-    click.echo(click.style(f"provider: {provider_name}", fg="green"))
-    click.echo(click.style(f"plugin_id: {plugin_id}", fg="green"))
-    click.echo(click.style(f"params: {json.dumps(client_params_dict, indent=2, ensure_ascii=False)}", fg="green"))
-    click.echo(click.style(f"Datasource oauth client setup successfully. id: {oauth_client.id}", fg="green"))
-
-
-@click.command("transform-datasource-credentials", help="Transform datasource credentials.")
-def transform_datasource_credentials():
-    """
-    Transform datasource credentials
-    """
-    try:
-        installer_manager = PluginInstaller()
-        plugin_migration = PluginMigration()
-
-        notion_plugin_id = "langgenius/notion_datasource"
-        firecrawl_plugin_id = "langgenius/firecrawl_datasource"
-        jina_plugin_id = "langgenius/jina_datasource"
-        notion_plugin_unique_identifier = plugin_migration._fetch_plugin_unique_identifier(notion_plugin_id)
-        firecrawl_plugin_unique_identifier = plugin_migration._fetch_plugin_unique_identifier(firecrawl_plugin_id)
-        jina_plugin_unique_identifier = plugin_migration._fetch_plugin_unique_identifier(jina_plugin_id)
-        oauth_credential_type = CredentialType.OAUTH2
-        api_key_credential_type = CredentialType.API_KEY
-
-        # deal notion credentials
-        deal_notion_count = 0
-        notion_credentials = db.session.query(DataSourceOauthBinding).filter_by(provider="notion").all()
-        if notion_credentials:
-            notion_credentials_tenant_mapping: dict[str, list[DataSourceOauthBinding]] = {}
-            for credential in notion_credentials:
-                tenant_id = credential.tenant_id
-                if tenant_id not in notion_credentials_tenant_mapping:
-                    notion_credentials_tenant_mapping[tenant_id] = []
-                notion_credentials_tenant_mapping[tenant_id].append(credential)
-            for tenant_id, credentials in notion_credentials_tenant_mapping.items():
-                # check notion plugin is installed
-                installed_plugins = installer_manager.list_plugins(tenant_id)
-                installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
-                if notion_plugin_id not in installed_plugins_ids:
-                    if notion_plugin_unique_identifier:
-                        # install notion plugin
-                        PluginService.install_from_marketplace_pkg(tenant_id, [notion_plugin_unique_identifier])
-                auth_count = 0
-                for credential in credentials:
-                    auth_count += 1
-                    # get credential oauth params
-                    access_token = credential.access_token
-                    # notion info
-                    notion_info = credential.source_info
-                    workspace_id = notion_info.get("workspace_id")
-                    workspace_name = notion_info.get("workspace_name")
-                    workspace_icon = notion_info.get("workspace_icon")
-                    new_credentials = {
-                        "integration_secret": encrypter.encrypt_token(tenant_id, access_token),
-                        "workspace_id": workspace_id,
-                        "workspace_name": workspace_name,
-                        "workspace_icon": workspace_icon,
-                    }
-                    datasource_provider = DatasourceProvider(
-                        provider="notion_datasource",
-                        tenant_id=tenant_id,
-                        plugin_id=notion_plugin_id,
-                        auth_type=oauth_credential_type.value,
-                        encrypted_credentials=new_credentials,
-                        name=f"Auth {auth_count}",
-                        avatar_url=workspace_icon or "default",
-                        is_default=False,
-                    )
-                    db.session.add(datasource_provider)
-                    deal_notion_count += 1
-                db.session.commit()
-        # deal firecrawl credentials
-        deal_firecrawl_count = 0
-        firecrawl_credentials = db.session.query(DataSourceApiKeyAuthBinding).filter_by(provider="firecrawl").all()
-        if firecrawl_credentials:
-            firecrawl_credentials_tenant_mapping: dict[str, list[DataSourceApiKeyAuthBinding]] = {}
-            for credential in firecrawl_credentials:
-                tenant_id = credential.tenant_id
-                if tenant_id not in firecrawl_credentials_tenant_mapping:
-                    firecrawl_credentials_tenant_mapping[tenant_id] = []
-                firecrawl_credentials_tenant_mapping[tenant_id].append(credential)
-            for tenant_id, credentials in firecrawl_credentials_tenant_mapping.items():
-                # check firecrawl plugin is installed
-                installed_plugins = installer_manager.list_plugins(tenant_id)
-                installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
-                if firecrawl_plugin_id not in installed_plugins_ids:
-                    if firecrawl_plugin_unique_identifier:
-                        # install firecrawl plugin
-                        PluginService.install_from_marketplace_pkg(tenant_id, [firecrawl_plugin_unique_identifier])
-
-                auth_count = 0
-                for credential in credentials:
-                    auth_count += 1
-                    # get credential api key
-                    credentials_json =json.loads(credential.credentials)
-                    api_key = credentials_json.get("config", {}).get("api_key")
-                    base_url = credentials_json.get("config", {}).get("base_url")
-                    new_credentials = {
-                        "firecrawl_api_key": api_key,
-                        "base_url": base_url,
-                    }
-                    datasource_provider = DatasourceProvider(
-                        provider="firecrawl",
-                        tenant_id=tenant_id,
-                        plugin_id=firecrawl_plugin_id,
-                        auth_type=api_key_credential_type.value,
-                        encrypted_credentials=new_credentials,
-                        name=f"Auth {auth_count}",
-                        avatar_url="default",
-                        is_default=False,
-                    )
-                    db.session.add(datasource_provider)
-                    deal_firecrawl_count += 1
-                db.session.commit()
-        # deal jina credentials
-        deal_jina_count = 0
-        jina_credentials = db.session.query(DataSourceApiKeyAuthBinding).filter_by(provider="jinareader").all()
-        if jina_credentials:
-            jina_credentials_tenant_mapping: dict[str, list[DataSourceApiKeyAuthBinding]] = {}
-            for credential in jina_credentials:
-                tenant_id = credential.tenant_id
-                if tenant_id not in jina_credentials_tenant_mapping:
-                    jina_credentials_tenant_mapping[tenant_id] = []
-                jina_credentials_tenant_mapping[tenant_id].append(credential)
-            for tenant_id, credentials in jina_credentials_tenant_mapping.items():
-                # check jina plugin is installed
-                installed_plugins = installer_manager.list_plugins(tenant_id)
-                installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
-                if jina_plugin_id not in installed_plugins_ids:
-                    if jina_plugin_unique_identifier:
-                        # install jina plugin
-                        print(jina_plugin_unique_identifier)
-                        PluginService.install_from_marketplace_pkg(tenant_id, [jina_plugin_unique_identifier])
-
-                auth_count = 0
-                for credential in credentials:
-                    auth_count += 1
-                    # get credential api key
-                    credentials_json = json.loads(credential.credentials)
-                    api_key = credentials_json.get("config", {}).get("api_key")
-                    new_credentials = {
-                        "integration_secret": api_key,
-                    }
-                    datasource_provider = DatasourceProvider(
-                        provider="jina",
-                        tenant_id=tenant_id,
-                        plugin_id=jina_plugin_id,
-                        auth_type=api_key_credential_type.value,
-                        encrypted_credentials=new_credentials,
-                        name=f"Auth {auth_count}",
-                        avatar_url="default",
-                        is_default=False,
-                    )
-                    db.session.add(datasource_provider)
-                    deal_jina_count += 1
-                db.session.commit()
-    except Exception as e:
-        click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))
-        return
-    click.echo(click.style(f"Transforming notion successfully. deal_notion_count: {deal_notion_count}", fg="green"))
-    click.echo(
-        click.style(f"Transforming firecrawl successfully. deal_firecrawl_count: {deal_firecrawl_count}", fg="green")
-    )
-    click.echo(click.style(f"Transforming jina successfully. deal_jina_count: {deal_jina_count}", fg="green"))
-
-
-@click.command("install-rag-pipeline-plugins", help="Install rag pipeline plugins.")
-@click.option(
-    "--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
-)
-@click.option(
-    "--output_file", prompt=True, help="The file to store the installed plugins.", default="installed_plugins.jsonl"
-)
-@click.option("--workers", prompt=True, help="The number of workers to install plugins.", default=100)
-def install_rag_pipeline_plugins(input_file, output_file, workers):
-    """
-    Install rag pipeline plugins
-    """
-    click.echo(click.style("Installing rag pipeline plugins", fg="yellow"))
-    plugin_migration = PluginMigration()
-    plugin_migration.install_rag_pipeline_plugins(
-        input_file,
-        output_file,
-        workers,
-    )
-    click.echo(click.style("Installing rag pipeline plugins successfully", fg="green"))

api/configs/feature/__init__.py

@@ -499,22 +499,6 @@ class UpdateConfig(BaseSettings):
     )
 
 
-class WorkflowVariableTruncationConfig(BaseSettings):
-    WORKFLOW_VARIABLE_TRUNCATION_MAX_SIZE: PositiveInt = Field(
-        # 100KB
-        1024_000,
-        description="Maximum size for variable to trigger final truncation.",
-    )
-    WORKFLOW_VARIABLE_TRUNCATION_STRING_LENGTH: PositiveInt = Field(
-        50000,
-        description="maximum length for string to trigger tuncation, measure in number of characters",
-    )
-    WORKFLOW_VARIABLE_TRUNCATION_ARRAY_LENGTH: PositiveInt = Field(
-        100,
-        description="maximum length for array to trigger truncation.",
-    )
-
-
 class WorkflowConfig(BaseSettings):
     """
     Configuration for workflow execution
@@ -545,28 +529,6 @@ class WorkflowConfig(BaseSettings):
         default=200 * 1024,
     )
 
-    # GraphEngine Worker Pool Configuration
-    GRAPH_ENGINE_MIN_WORKERS: PositiveInt = Field(
-        description="Minimum number of workers per GraphEngine instance",
-        default=1,
-    )
-
-    GRAPH_ENGINE_MAX_WORKERS: PositiveInt = Field(
-        description="Maximum number of workers per GraphEngine instance",
-        default=10,
-    )
-
-    GRAPH_ENGINE_SCALE_UP_THRESHOLD: PositiveInt = Field(
-        description="Queue depth threshold that triggers worker scale up",
-        default=3,
-    )
-
-    GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME: float = Field(
-        description="Seconds of idle time before scaling down workers",
-        default=5.0,
-        ge=0.1,
-    )
-
 
 class WorkflowNodeExecutionConfig(BaseSettings):
     """
@@ -1063,6 +1025,5 @@ class FeatureConfig(
     CeleryBeatConfig,
     CeleryScheduleTasksConfig,
     WorkflowLogConfig,
-    WorkflowVariableTruncationConfig,
 ):
     pass

api/configs/feature/hosted_service/__init__.py

@@ -222,28 +222,11 @@ class HostedFetchAppTemplateConfig(BaseSettings):
     )
 
 
-class HostedFetchPipelineTemplateConfig(BaseSettings):
-    """
-    Configuration for fetching pipeline templates
-    """
-
-    HOSTED_FETCH_PIPELINE_TEMPLATES_MODE: str = Field(
-        description="Mode for fetching pipeline templates: remote, db, or builtin default to remote,",
-        default="remote",
-    )
-
-    HOSTED_FETCH_PIPELINE_TEMPLATES_REMOTE_DOMAIN: str = Field(
-        description="Domain for fetching remote pipeline templates",
-        default="https://tmpl.dify.ai",
-    )
-
-
 class HostedServiceConfig(
     # place the configs in alphabet order
     HostedAnthropicConfig,
     HostedAzureOpenAiConfig,
     HostedFetchAppTemplateConfig,
-    HostedFetchPipelineTemplateConfig,
     HostedMinmaxConfig,
     HostedOpenAiConfig,
     HostedSparkConfig,

api/configs/middleware/__init__.py

@@ -35,6 +35,7 @@ from .vdb.opensearch_config import OpenSearchConfig
 from .vdb.oracle_config import OracleConfig
 from .vdb.pgvector_config import PGVectorConfig
 from .vdb.pgvectors_config import PGVectoRSConfig
+from .vdb.pinecone_config import PineconeConfig
 from .vdb.qdrant_config import QdrantConfig
 from .vdb.relyt_config import RelytConfig
 from .vdb.tablestore_config import TableStoreConfig
@@ -331,6 +332,7 @@ class MiddlewareConfig(
     PGVectorConfig,
     VastbaseVectorConfig,
     PGVectoRSConfig,
+    PineconeConfig,
     QdrantConfig,
     RelytConfig,
     TencentVectorDBConfig,

api/configs/middleware/vdb/pinecone_config.py

@@ -0,0 +1,41 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class PineconeConfig(BaseSettings):
+    """
+    Configuration settings for Pinecone vector database
+    """
+
+    PINECONE_API_KEY: Optional[str] = Field(
+        description="API key for authenticating with Pinecone service",
+        default=None,
+    )
+
+    PINECONE_ENVIRONMENT: Optional[str] = Field(
+        description="Pinecone environment (e.g., 'us-west1-gcp', 'us-east-1-aws')",
+        default=None,
+    )
+
+    PINECONE_INDEX_NAME: Optional[str] = Field(
+        description="Default Pinecone index name",
+        default=None,
+    )
+
+    PINECONE_CLIENT_TIMEOUT: PositiveInt = Field(
+        description="Timeout in seconds for Pinecone client operations (default is 30 seconds)",
+        default=30,
+    )
+
+    PINECONE_BATCH_SIZE: PositiveInt = Field(
+        description="Batch size for Pinecone operations (default is 100)",
+        default=100,
+    )
+
+    PINECONE_METRIC: str = Field(
+        description="Distance metric for Pinecone index (cosine, euclidean, dotproduct)",
+        default="cosine",
+    )
+

api/configs/remote_settings_sources/nacos/__init__.py

@@ -29,7 +29,7 @@ class NacosSettingsSource(RemoteSettingsSource):
         try:
             content = NacosHttpClient().http_request("/nacos/v1/cs/configs", method="GET", headers={}, params=params)
             self.remote_configs = self._parse_config(content)
-        except Exception:
+        except Exception as e:
             logger.exception("[get-access-token] exception occurred")
             raise
 

api/configs/remote_settings_sources/nacos/http_request.py

@@ -27,7 +27,7 @@ class NacosHttpClient:
             response = requests.request(method, url="http://" + self.server + url, headers=headers, params=params)
             response.raise_for_status()
             return response.text
-        except requests.RequestException as e:
+        except requests.exceptions.RequestException as e:
             return f"Request to Nacos failed: {e}"
 
     def _inject_auth_info(self, headers, params, module="config"):
@@ -77,6 +77,6 @@ class NacosHttpClient:
             self.token = response_data.get("accessToken")
             self.token_ttl = response_data.get("tokenTtl", 18000)
             self.token_expire_time = current_time + self.token_ttl - 10
-        except Exception:
+        except Exception as e:
             logger.exception("[get-access-token] exception occur")
             raise

api/constants/languages.py

@@ -19,7 +19,6 @@ language_timezone_mapping = {
     "fa-IR": "Asia/Tehran",
     "sl-SI": "Europe/Ljubljana",
     "th-TH": "Asia/Bangkok",
-    "id-ID": "Asia/Jakarta",
 }
 
 languages = list(language_timezone_mapping.keys())

api/contexts/__init__.py

@@ -3,7 +3,6 @@ from threading import Lock
 from typing import TYPE_CHECKING
 
 from contexts.wrapper import RecyclableContextVar
-from core.datasource.__base.datasource_provider import DatasourcePluginProviderController
 
 if TYPE_CHECKING:
     from core.model_runtime.entities.model_entities import AIModelEntity
@@ -34,11 +33,3 @@ plugin_model_schema_lock: RecyclableContextVar[Lock] = RecyclableContextVar(Cont
 plugin_model_schemas: RecyclableContextVar[dict[str, "AIModelEntity"]] = RecyclableContextVar(
     ContextVar("plugin_model_schemas")
 )
-
-datasource_plugin_providers: RecyclableContextVar[dict[str, "DatasourcePluginProviderController"]] = (
-    RecyclableContextVar(ContextVar("datasource_plugin_providers"))
-)
-
-datasource_plugin_providers_lock: RecyclableContextVar[Lock] = RecyclableContextVar(
-    ContextVar("datasource_plugin_providers_lock")
-)

api/controllers/console/__init__.py

@@ -43,7 +43,7 @@ api.add_resource(AppImportConfirmApi, "/apps/imports/<string:import_id>/confirm"
 api.add_resource(AppImportCheckDependenciesApi, "/apps/imports/<string:app_id>/check-dependencies")
 
 # Import other controllers
-from . import admin, apikey, extension, feature, ping, setup, spec, version
+from . import admin, apikey, extension, feature, ping, setup, version
 
 # Import app controllers
 from .app import (
@@ -86,15 +86,6 @@ from .datasets import (
     metadata,
     website,
 )
-from .datasets.rag_pipeline import (
-    datasource_auth,
-    datasource_content_preview,
-    rag_pipeline,
-    rag_pipeline_datasets,
-    rag_pipeline_draft_variable,
-    rag_pipeline_import,
-    rag_pipeline_workflow,
-)
 
 # Import explore controllers
 from .explore import (

api/controllers/console/admin.py

@@ -130,19 +130,15 @@ class InsertExploreAppApi(Resource):
             app.is_public = False
 
         with Session(db.engine) as session:
-            installed_apps = (
-                session.execute(
-                    select(InstalledApp).where(
-                        InstalledApp.app_id == recommended_app.app_id,
-                        InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id,
-                    )
+            installed_apps = session.execute(
+                select(InstalledApp).where(
+                    InstalledApp.app_id == recommended_app.app_id,
+                    InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id,
                 )
-                .scalars()
-                .all()
-            )
+            ).all()
 
-            for installed_app in installed_apps:
-                session.delete(installed_app)
+        for installed_app in installed_apps:
+            db.session.delete(installed_app)
 
         db.session.delete(recommended_app)
         db.session.commit()

api/controllers/console/apikey.py

@@ -84,7 +84,7 @@ class BaseApiKeyListResource(Resource):
             flask_restx.abort(
                 400,
                 message=f"Cannot create more than {self.max_keys} API keys for this resource type.",
-                custom="max_keys_exceeded",
+                code="max_keys_exceeded",
             )
 
         key = ApiToken.generate_api_key(self.token_prefix, 24)

api/controllers/console/app/app.py

@@ -237,14 +237,9 @@ class AppExportApi(Resource):
         # Add include_secret params
         parser = reqparse.RequestParser()
         parser.add_argument("include_secret", type=inputs.boolean, default=False, location="args")
-        parser.add_argument("workflow_id", type=str, location="args")
         args = parser.parse_args()
 
-        return {
-            "data": AppDslService.export_dsl(
-                app_model=app_model, include_secret=args["include_secret"], workflow_id=args.get("workflow_id")
-            )
-        }
+        return {"data": AppDslService.export_dsl(app_model=app_model, include_secret=args["include_secret"])}
 
 
 class AppNameApi(Resource):

api/controllers/console/app/conversation.py

@@ -117,7 +117,7 @@ class CompletionConversationDetailApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @get_app_model(mode=AppMode.COMPLETION)
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
     def delete(self, app_model, conversation_id):
         if not current_user.is_editor:
             raise Forbidden()

api/controllers/console/app/generator.py

@@ -16,10 +16,7 @@ from core.helper.code_executor.javascript.javascript_code_provider import Javasc
 from core.helper.code_executor.python3.python3_code_provider import Python3CodeProvider
 from core.llm_generator.llm_generator import LLMGenerator
 from core.model_runtime.errors.invoke import InvokeError
-from extensions.ext_database import db
 from libs.login import login_required
-from models import App
-from services.workflow_service import WorkflowService
 
 
 class RuleGenerateApi(Resource):
@@ -138,6 +135,9 @@ class InstructionGenerateApi(Resource):
         try:
             # Generate from nothing for a workflow node
             if (args["current"] == code_template or args["current"] == "") and args["node_id"] != "":
+                from models import App, db
+                from services.workflow_service import WorkflowService
+
                 app = db.session.query(App).where(App.id == args["flow_id"]).first()
                 if not app:
                     return {"error": f"app {args['flow_id']} not found"}, 400

api/controllers/console/app/workflow.py

@@ -24,7 +24,6 @@ from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.file.models import File
 from core.helper.trace_id_helper import get_external_trace_id
-from core.workflow.graph_engine.manager import GraphEngineManager
 from extensions.ext_database import db
 from factories import file_factory, variable_factory
 from fields.workflow_fields import workflow_fields, workflow_pagination_fields
@@ -414,12 +413,7 @@ class WorkflowTaskStopApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, current_user.id)
 
         return {"result": "success"}
 
@@ -532,7 +526,7 @@ class PublishedWorkflowApi(Resource):
             )
 
             app_model.workflow_id = workflow.id
-            db.session.commit()  # NOTE: this is necessary for update app_model.workflow_id
+            db.session.commit()
 
             workflow_created_at = TimestampField().format(workflow.created_at)
 

api/controllers/console/app/workflow_app_log.py

@@ -6,7 +6,7 @@ from sqlalchemy.orm import Session
 from controllers.console import api
 from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import account_initialization_required, setup_required
-from core.workflow.enums import WorkflowExecutionStatus
+from core.workflow.entities.workflow_execution import WorkflowExecutionStatus
 from extensions.ext_database import db
 from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
 from libs.login import login_required
@@ -27,9 +27,7 @@ class WorkflowAppLogApi(Resource):
         """
         parser = reqparse.RequestParser()
         parser.add_argument("keyword", type=str, location="args")
-        parser.add_argument(
-            "status", type=str, choices=["succeeded", "failed", "stopped", "partial-succeeded"], location="args"
-        )
+        parser.add_argument("status", type=str, choices=["succeeded", "failed", "stopped"], location="args")
         parser.add_argument(
             "created_at__before", type=str, location="args", help="Filter logs created before this timestamp"
         )

api/controllers/console/app/workflow_draft_variable.py

@@ -13,16 +13,14 @@ from controllers.console.app.error import (
 from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import account_initialization_required, setup_required
 from controllers.web.error import InvalidArgumentError, NotFoundError
-from core.file import helpers as file_helpers
 from core.variables.segment_group import SegmentGroup
 from core.variables.segments import ArrayFileSegment, FileSegment, Segment
 from core.variables.types import SegmentType
 from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID
-from extensions.ext_database import db
 from factories.file_factory import build_from_mapping, build_from_mappings
 from factories.variable_factory import build_segment_with_type
 from libs.login import current_user, login_required
-from models import App, AppMode
+from models import App, AppMode, db
 from models.account import Account
 from models.workflow import WorkflowDraftVariable
 from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService
@@ -43,7 +41,6 @@ def _convert_values_to_json_serializable_object(value: Segment) -> Any:
 
 
 def _serialize_var_value(variable: WorkflowDraftVariable) -> Any:
-    """Serialize variable value. If variable is truncated, return the truncated value."""
     value = variable.get_value()
     # create a copy of the value to avoid affecting the model cache.
     value = value.model_copy(deep=True)
@@ -77,22 +74,6 @@ def _serialize_variable_type(workflow_draft_var: WorkflowDraftVariable) -> str:
     return value_type.exposed_type().value
 
 
-def _serialize_full_content(variable: WorkflowDraftVariable) -> dict | None:
-    """Serialize full_content information for large variables."""
-    if not variable.is_truncated():
-        return None
-
-    variable_file = variable.variable_file
-    assert variable_file is not None
-
-    return {
-        "size_bytes": variable_file.size,
-        "value_type": variable_file.value_type.exposed_type().value,
-        "length": variable_file.length,
-        "download_url": file_helpers.get_signed_file_url(variable_file.upload_file_id, as_attachment=True),
-    }
-
-
 _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS = {
     "id": fields.String,
     "type": fields.String(attribute=lambda model: model.get_variable_type()),
@@ -102,13 +83,11 @@ _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS = {
     "value_type": fields.String(attribute=_serialize_variable_type),
     "edited": fields.Boolean(attribute=lambda model: model.edited),
     "visible": fields.Boolean,
-    "is_truncated": fields.Boolean(attribute=lambda model: model.file_id is not None),
 }
 
 _WORKFLOW_DRAFT_VARIABLE_FIELDS = dict(
     _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS,
     value=fields.Raw(attribute=_serialize_var_value),
-    full_content=fields.Raw(attribute=_serialize_full_content),
 )
 
 _WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS = {

api/controllers/console/auth/data_source_oauth.py

@@ -81,7 +81,7 @@ class OAuthDataSourceBinding(Resource):
                 return {"error": "Invalid code"}, 400
             try:
                 oauth_provider.get_access_token(code)
-            except requests.HTTPError as e:
+            except requests.exceptions.HTTPError as e:
                 logger.exception(
                     "An error occurred during the OAuthCallback process with %s: %s", provider, e.response.text
                 )
@@ -104,7 +104,7 @@ class OAuthDataSourceSync(Resource):
             return {"error": "Invalid provider"}, 400
         try:
             oauth_provider.sync_data_source(binding_id)
-        except requests.HTTPError as e:
+        except requests.exceptions.HTTPError as e:
             logger.exception(
                 "An error occurred during the OAuthCallback process with %s: %s", provider, e.response.text
             )

api/controllers/console/auth/login.py

@@ -130,7 +130,7 @@ class ResetPasswordSendEmailApi(Resource):
             language = "en-US"
         try:
             account = AccountService.get_user_through_email(args["email"])
-        except AccountRegisterError:
+        except AccountRegisterError as are:
             raise AccountInFreezeError()
 
         if account is None:
@@ -162,7 +162,7 @@ class EmailCodeLoginSendEmailApi(Resource):
             language = "en-US"
         try:
             account = AccountService.get_user_through_email(args["email"])
-        except AccountRegisterError:
+        except AccountRegisterError as are:
             raise AccountInFreezeError()
 
         if account is None:
@@ -200,7 +200,7 @@ class EmailCodeLoginApi(Resource):
         AccountService.revoke_email_code_login_token(args["token"])
         try:
             account = AccountService.get_user_through_email(user_email)
-        except AccountRegisterError:
+        except AccountRegisterError as are:
             raise AccountInFreezeError()
         if account:
             tenants = TenantService.get_join_tenants(account)
@@ -223,7 +223,7 @@ class EmailCodeLoginApi(Resource):
                 )
             except WorkSpaceNotAllowedCreateError:
                 raise NotAllowedCreateWorkspace()
-            except AccountRegisterError:
+            except AccountRegisterError as are:
                 raise AccountInFreezeError()
             except WorkspacesLimitExceededError:
                 raise WorkspacesLimitExceeded()

api/controllers/console/auth/oauth.py

@@ -80,7 +80,7 @@ class OAuthCallback(Resource):
         try:
             token = oauth_provider.get_access_token(code)
             user_info = oauth_provider.get_user_info(token)
-        except requests.RequestException as e:
+        except requests.exceptions.RequestException as e:
             error_text = e.response.text if e.response else str(e)
             logger.exception("An error occurred during the OAuth process with %s: %s", provider, error_text)
             return {"error": "OAuth process failed"}, 400

api/controllers/console/auth/oauth_server.py

@@ -2,7 +2,7 @@ from functools import wraps
 from typing import cast
 
 import flask_login
-from flask import jsonify, request
+from flask import request
 from flask_restx import Resource, reqparse
 from werkzeug.exceptions import BadRequest, NotFound
 
@@ -46,38 +46,23 @@ def oauth_server_access_token_required(view):
 
         authorization_header = request.headers.get("Authorization")
         if not authorization_header:
-            response = jsonify({"error": "Authorization header is required"})
-            response.status_code = 401
-            response.headers["WWW-Authenticate"] = "Bearer"
-            return response
+            raise BadRequest("Authorization header is required")
 
-        parts = authorization_header.strip().split(None, 1)
+        parts = authorization_header.strip().split(" ")
         if len(parts) != 2:
-            response = jsonify({"error": "Invalid Authorization header format"})
-            response.status_code = 401
-            response.headers["WWW-Authenticate"] = "Bearer"
-            return response
+            raise BadRequest("Invalid Authorization header format")
 
         token_type = parts[0].strip()
         if token_type.lower() != "bearer":
-            response = jsonify({"error": "token_type is invalid"})
-            response.status_code = 401
-            response.headers["WWW-Authenticate"] = "Bearer"
-            return response
+            raise BadRequest("token_type is invalid")
 
         access_token = parts[1].strip()
         if not access_token:
-            response = jsonify({"error": "access_token is required"})
-            response.status_code = 401
-            response.headers["WWW-Authenticate"] = "Bearer"
-            return response
+            raise BadRequest("access_token is required")
 
         account = OAuthServerService.validate_oauth_access_token(oauth_provider_app.client_id, access_token)
         if not account:
-            response = jsonify({"error": "access_token or client_id is invalid"})
-            response.status_code = 401
-            response.headers["WWW-Authenticate"] = "Bearer"
-            return response
+            raise BadRequest("access_token or client_id is invalid")
 
         kwargs["account"] = account
 

api/controllers/console/datasets/data_source.py

@@ -1,6 +1,4 @@
 import json
-from collections.abc import Generator
-from typing import cast
 
 from flask import request
 from flask_login import current_user
@@ -11,10 +9,7 @@ from werkzeug.exceptions import NotFound
 
 from controllers.console import api
 from controllers.console.wraps import account_initialization_required, setup_required
-from core.datasource.entities.datasource_entities import DatasourceProviderType, OnlineDocumentPagesMessage
-from core.datasource.online_document.online_document_plugin import OnlineDocumentDatasourcePlugin
 from core.indexing_runner import IndexingRunner
-from core.rag.extractor.entity.datasource_type import DatasourceType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from core.rag.extractor.notion_extractor import NotionExtractor
 from extensions.ext_database import db
@@ -23,7 +18,6 @@ from libs.datetime_utils import naive_utc_now
 from libs.login import login_required
 from models import DataSourceOauthBinding, Document
 from services.dataset_service import DatasetService, DocumentService
-from services.datasource_provider_service import DatasourceProviderService
 from tasks.document_indexing_sync_task import document_indexing_sync_task
 
 
@@ -118,18 +112,6 @@ class DataSourceNotionListApi(Resource):
     @marshal_with(integrate_notion_info_list_fields)
     def get(self):
         dataset_id = request.args.get("dataset_id", default=None, type=str)
-        credential_id = request.args.get("credential_id", default=None, type=str)
-        if not credential_id:
-            raise ValueError("Credential id is required.")
-        datasource_provider_service = DatasourceProviderService()
-        credential = datasource_provider_service.get_datasource_credentials(
-            tenant_id=current_user.current_tenant_id,
-            credential_id=credential_id,
-            provider="notion_datasource",
-            plugin_id="langgenius/notion_datasource",
-        )
-        if not credential:
-            raise NotFound("Credential not found.")
         exist_page_ids = []
         with Session(db.engine) as session:
             # import notion in the exist dataset
@@ -153,49 +135,31 @@ class DataSourceNotionListApi(Resource):
                         data_source_info = json.loads(document.data_source_info)
                         exist_page_ids.append(data_source_info["notion_page_id"])
             # get all authorized pages
-            from core.datasource.datasource_manager import DatasourceManager
-
-            datasource_runtime = DatasourceManager.get_datasource_runtime(
-                provider_id="langgenius/notion_datasource/notion_datasource",
-                datasource_name="notion_datasource",
-                tenant_id=current_user.current_tenant_id,
-                datasource_type=DatasourceProviderType.ONLINE_DOCUMENT,
-            )
-            datasource_provider_service = DatasourceProviderService()
-            if credential:
-                datasource_runtime.runtime.credentials = credential
-            datasource_runtime = cast(OnlineDocumentDatasourcePlugin, datasource_runtime)
-            online_document_result: Generator[OnlineDocumentPagesMessage, None, None] = (
-                datasource_runtime.get_online_document_pages(
-                    user_id=current_user.id,
-                    datasource_parameters={},
-                    provider_type=datasource_runtime.datasource_provider_type(),
+            data_source_bindings = session.scalars(
+                select(DataSourceOauthBinding).filter_by(
+                    tenant_id=current_user.current_tenant_id, provider="notion", disabled=False
                 )
-            )
-            try:
-                pages = []
-                workspace_info = {}
-                for message in online_document_result:
-                    result = message.result
-                    for info in result:
-                        workspace_info = {
-                            "workspace_id": info.workspace_id,
-                            "workspace_name": info.workspace_name,
-                            "workspace_icon": info.workspace_icon,
-                        }
-                        for page in info.pages:
-                            page_info = {
-                                "page_id": page.page_id,
-                                "page_name": page.page_name,
-                                "type": page.type,
-                                "parent_id": page.parent_id,
-                                "is_bound": page.page_id in exist_page_ids,
-                                "page_icon": page.page_icon,
-                            }
-                            pages.append(page_info)
-            except Exception as e:
-                raise e
-            return {"notion_info": {**workspace_info, "pages": pages}}, 200
+            ).all()
+            if not data_source_bindings:
+                return {"notion_info": []}, 200
+            pre_import_info_list = []
+            for data_source_binding in data_source_bindings:
+                source_info = data_source_binding.source_info
+                pages = source_info["pages"]
+                # Filter out already bound pages
+                for page in pages:
+                    if page["page_id"] in exist_page_ids:
+                        page["is_bound"] = True
+                    else:
+                        page["is_bound"] = False
+                pre_import_info = {
+                    "workspace_name": source_info["workspace_name"],
+                    "workspace_icon": source_info["workspace_icon"],
+                    "workspace_id": source_info["workspace_id"],
+                    "pages": pages,
+                }
+                pre_import_info_list.append(pre_import_info)
+            return {"notion_info": pre_import_info_list}, 200
 
 
 class DataSourceNotionApi(Resource):
@@ -203,25 +167,27 @@ class DataSourceNotionApi(Resource):
     @login_required
     @account_initialization_required
     def get(self, workspace_id, page_id, page_type):
-        credential_id = request.args.get("credential_id", default=None, type=str)
-        if not credential_id:
-            raise ValueError("Credential id is required.")
-        datasource_provider_service = DatasourceProviderService()
-        credential = datasource_provider_service.get_datasource_credentials(
-            tenant_id=current_user.current_tenant_id,
-            credential_id=credential_id,
-            provider="notion_datasource",
-            plugin_id="langgenius/notion_datasource",
-        )
-
         workspace_id = str(workspace_id)
         page_id = str(page_id)
+        with Session(db.engine) as session:
+            data_source_binding = session.execute(
+                select(DataSourceOauthBinding).where(
+                    db.and_(
+                        DataSourceOauthBinding.tenant_id == current_user.current_tenant_id,
+                        DataSourceOauthBinding.provider == "notion",
+                        DataSourceOauthBinding.disabled == False,
+                        DataSourceOauthBinding.source_info["workspace_id"] == f'"{workspace_id}"',
+                    )
+                )
+            ).scalar_one_or_none()
+        if not data_source_binding:
+            raise NotFound("Data source binding not found.")
 
         extractor = NotionExtractor(
             notion_workspace_id=workspace_id,
             notion_obj_id=page_id,
             notion_page_type=page_type,
-            notion_access_token=credential.get("integration_secret"),
+            notion_access_token=data_source_binding.access_token,
             tenant_id=current_user.current_tenant_id,
         )
 
@@ -246,12 +212,10 @@ class DataSourceNotionApi(Resource):
         extract_settings = []
         for notion_info in notion_info_list:
             workspace_id = notion_info["workspace_id"]
-            credential_id = notion_info.get("credential_id")
             for page in notion_info["pages"]:
                 extract_setting = ExtractSetting(
-                    datasource_type=DatasourceType.NOTION.value,
+                    datasource_type="notion_import",
                     notion_info={
-                        "credential_id": credential_id,
                         "notion_workspace_id": workspace_id,
                         "notion_obj_id": page["page_id"],
                         "notion_page_type": page["type"],

api/controllers/console/datasets/datasets.py

@@ -19,9 +19,9 @@ from controllers.console.wraps import (
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
+from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
 from core.rag.datasource.vdb.vector_type import VectorType
-from core.rag.extractor.entity.datasource_type import DatasourceType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
 from extensions.ext_database import db
@@ -31,7 +31,6 @@ from fields.document_fields import document_status_fields
 from libs.login import login_required
 from models import ApiToken, Dataset, Document, DocumentSegment, UploadFile
 from models.dataset import DatasetPermissionEnum
-from models.provider_ids import ModelProviderID
 from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
 
 
@@ -280,15 +279,6 @@ class DatasetApi(Resource):
             location="json",
             help="Invalid external knowledge api id.",
         )
-
-        parser.add_argument(
-            "icon_info",
-            type=dict,
-            required=False,
-            nullable=True,
-            location="json",
-            help="Invalid icon info.",
-        )
         args = parser.parse_args()
         data = request.get_json()
 
@@ -432,21 +422,17 @@ class DatasetIndexingEstimateApi(Resource):
             if file_details:
                 for file_detail in file_details:
                     extract_setting = ExtractSetting(
-                        datasource_type=DatasourceType.FILE.value,
-                        upload_file=file_detail,
-                        document_model=args["doc_form"],
+                        datasource_type="upload_file", upload_file=file_detail, document_model=args["doc_form"]
                     )
                     extract_settings.append(extract_setting)
         elif args["info_list"]["data_source_type"] == "notion_import":
             notion_info_list = args["info_list"]["notion_info_list"]
             for notion_info in notion_info_list:
                 workspace_id = notion_info["workspace_id"]
-                credential_id = notion_info.get("credential_id")
                 for page in notion_info["pages"]:
                     extract_setting = ExtractSetting(
-                        datasource_type=DatasourceType.NOTION.value,
+                        datasource_type="notion_import",
                         notion_info={
-                            "credential_id": credential_id,
                             "notion_workspace_id": workspace_id,
                             "notion_obj_id": page["page_id"],
                             "notion_page_type": page["type"],
@@ -459,7 +445,7 @@ class DatasetIndexingEstimateApi(Resource):
             website_info_list = args["info_list"]["website_info_list"]
             for url in website_info_list["urls"]:
                 extract_setting = ExtractSetting(
-                    datasource_type=DatasourceType.WEBSITE.value,
+                    datasource_type="website_crawl",
                     website_info={
                         "provider": website_info_list["provider"],
                         "job_id": website_info_list["job_id"],
@@ -674,6 +660,7 @@ class DatasetRetrievalSettingApi(Resource):
                 | VectorType.BAIDU
                 | VectorType.VIKINGDB
                 | VectorType.UPSTASH
+                | VectorType.PINECONE
             ):
                 return {"retrieval_method": [RetrievalMethod.SEMANTIC_SEARCH.value]}
             case (
@@ -725,6 +712,7 @@ class DatasetRetrievalSettingMockApi(Resource):
                 | VectorType.BAIDU
                 | VectorType.VIKINGDB
                 | VectorType.UPSTASH
+                | VectorType.PINECONE
             ):
                 return {"retrieval_method": [RetrievalMethod.SEMANTIC_SEARCH.value]}
             case (

api/controllers/console/datasets/datasets_document.py

@@ -1,4 +1,3 @@
-import json
 import logging
 from argparse import ArgumentTypeError
 from typing import Literal, cast
@@ -41,7 +40,6 @@ from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.errors.invoke import InvokeAuthorizationError
 from core.plugin.impl.exc import PluginDaemonClientSideError
-from core.rag.extractor.entity.datasource_type import DatasourceType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from extensions.ext_database import db
 from fields.document_fields import (
@@ -53,7 +51,6 @@ from fields.document_fields import (
 from libs.datetime_utils import naive_utc_now
 from libs.login import login_required
 from models import Dataset, DatasetProcessRule, Document, DocumentSegment, UploadFile
-from models.dataset import DocumentPipelineExecutionLog
 from services.dataset_service import DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig
 
@@ -357,6 +354,9 @@ class DatasetInitApi(Resource):
         parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
         args = parser.parse_args()
 
+        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
+        if not current_user.is_dataset_editor:
+            raise Forbidden()
         knowledge_config = KnowledgeConfig(**args)
         if knowledge_config.indexing_technique == "high_quality":
             if knowledge_config.embedding_model is None or knowledge_config.embedding_model_provider is None:
@@ -428,7 +428,7 @@ class DocumentIndexingEstimateApi(DocumentResource):
                     raise NotFound("File not found.")
 
                 extract_setting = ExtractSetting(
-                    datasource_type=DatasourceType.FILE.value, upload_file=file, document_model=document.doc_form
+                    datasource_type="upload_file", upload_file=file, document_model=document.doc_form
                 )
 
                 indexing_runner = IndexingRunner()
@@ -488,15 +488,14 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                     raise NotFound("File not found.")
 
                 extract_setting = ExtractSetting(
-                    datasource_type=DatasourceType.FILE.value, upload_file=file_detail, document_model=document.doc_form
+                    datasource_type="upload_file", upload_file=file_detail, document_model=document.doc_form
                 )
                 extract_settings.append(extract_setting)
 
             elif document.data_source_type == "notion_import":
                 extract_setting = ExtractSetting(
-                    datasource_type=DatasourceType.NOTION.value,
+                    datasource_type="notion_import",
                     notion_info={
-                        "credential_id": data_source_info["credential_id"],
                         "notion_workspace_id": data_source_info["notion_workspace_id"],
                         "notion_obj_id": data_source_info["notion_page_id"],
                         "notion_page_type": data_source_info["type"],
@@ -507,7 +506,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                 extract_settings.append(extract_setting)
             elif document.data_source_type == "website_crawl":
                 extract_setting = ExtractSetting(
-                    datasource_type=DatasourceType.WEBSITE.value,
+                    datasource_type="website_crawl",
                     website_info={
                         "provider": data_source_info["provider"],
                         "job_id": data_source_info["job_id"],
@@ -650,7 +649,7 @@ class DocumentApi(DocumentResource):
             response = {"id": document.id, "doc_type": document.doc_type, "doc_metadata": document.doc_metadata_details}
         elif metadata == "without":
             dataset_process_rules = DatasetService.get_process_rules(dataset_id)
-            document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
+            document_process_rules = document.dataset_process_rule.to_dict()
             data_source_info = document.data_source_detail_dict
             response = {
                 "id": document.id,
@@ -1013,41 +1012,6 @@ class WebsiteDocumentSyncApi(DocumentResource):
         return {"result": "success"}, 200
 
 
-class DocumentPipelineExecutionLogApi(DocumentResource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self, dataset_id, document_id):
-        dataset_id = str(dataset_id)
-        document_id = str(document_id)
-
-        dataset = DatasetService.get_dataset(dataset_id)
-        if not dataset:
-            raise NotFound("Dataset not found.")
-        document = DocumentService.get_document(dataset.id, document_id)
-        if not document:
-            raise NotFound("Document not found.")
-        log = (
-            db.session.query(DocumentPipelineExecutionLog)
-            .filter_by(document_id=document_id)
-            .order_by(DocumentPipelineExecutionLog.created_at.desc())
-            .first()
-        )
-        if not log:
-            return {
-                "datasource_info": None,
-                "datasource_type": None,
-                "input_data": None,
-                "datasource_node_id": None,
-            }, 200
-        return {
-            "datasource_info": json.loads(log.datasource_info),
-            "datasource_type": log.datasource_type,
-            "input_data": log.input_data,
-            "datasource_node_id": log.datasource_node_id,
-        }, 200
-
-
 api.add_resource(GetProcessRuleApi, "/datasets/process-rule")
 api.add_resource(DatasetDocumentListApi, "/datasets/<uuid:dataset_id>/documents")
 api.add_resource(DatasetInitApi, "/datasets/init")
@@ -1069,6 +1033,3 @@ api.add_resource(DocumentRetryApi, "/datasets/<uuid:dataset_id>/retry")
 api.add_resource(DocumentRenameApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/rename")
 
 api.add_resource(WebsiteDocumentSyncApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/website-sync")
-api.add_resource(
-    DocumentPipelineExecutionLogApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/pipeline-execution-log"
-)

api/controllers/console/datasets/error.py

@@ -71,9 +71,3 @@ class ChildChunkDeleteIndexError(BaseHTTPException):
     error_code = "child_chunk_delete_index_error"
     description = "Delete child chunk index failed: {message}"
     code = 500
-
-
-class PipelineNotFoundError(BaseHTTPException):
-    error_code = "pipeline_not_found"
-    description = "Pipeline not found."
-    code = 404

api/controllers/console/datasets/rag_pipeline/datasource_auth.py

@@ -1,362 +0,0 @@
-from fastapi.encoders import jsonable_encoder
-from flask import make_response, redirect, request
-from flask_login import current_user
-from flask_restx import Resource, reqparse
-from werkzeug.exceptions import Forbidden, NotFound
-
-from configs import dify_config
-from controllers.console import api
-from controllers.console.wraps import (
-    account_initialization_required,
-    setup_required,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.plugin.impl.oauth import OAuthHandler
-from libs.helper import StrLen
-from libs.login import login_required
-from models.provider_ids import DatasourceProviderID
-from services.datasource_provider_service import DatasourceProviderService
-from services.plugin.oauth_service import OAuthProxyService
-
-
-class DatasourcePluginOAuthAuthorizationUrl(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self, provider_id: str):
-        user = current_user
-        tenant_id = user.current_tenant_id
-        if not current_user.is_editor:
-            raise Forbidden()
-
-        credential_id = request.args.get("credential_id")
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        provider_name = datasource_provider_id.provider_name
-        plugin_id = datasource_provider_id.plugin_id
-        oauth_config = DatasourceProviderService().get_oauth_client(
-            tenant_id=tenant_id,
-            datasource_provider_id=datasource_provider_id,
-        )
-        if not oauth_config:
-            raise ValueError(f"No OAuth Client Config for {provider_id}")
-
-        context_id = OAuthProxyService.create_proxy_context(
-            user_id=current_user.id,
-            tenant_id=tenant_id,
-            plugin_id=plugin_id,
-            provider=provider_name,
-            credential_id=credential_id,
-        )
-        oauth_handler = OAuthHandler()
-        redirect_uri = f"{dify_config.CONSOLE_API_URL}/console/api/oauth/plugin/{provider_id}/datasource/callback"
-        authorization_url_response = oauth_handler.get_authorization_url(
-            tenant_id=tenant_id,
-            user_id=user.id,
-            plugin_id=plugin_id,
-            provider=provider_name,
-            redirect_uri=redirect_uri,
-            system_credentials=oauth_config,
-        )
-        response = make_response(jsonable_encoder(authorization_url_response))
-        response.set_cookie(
-            "context_id",
-            context_id,
-            httponly=True,
-            samesite="Lax",
-            max_age=OAuthProxyService.__MAX_AGE__,
-        )
-        return response
-
-
-class DatasourceOAuthCallback(Resource):
-    @setup_required
-    def get(self, provider_id: str):
-        context_id = request.cookies.get("context_id") or request.args.get("context_id")
-        if not context_id:
-            raise Forbidden("context_id not found")
-
-        context = OAuthProxyService.use_proxy_context(context_id)
-        if context is None:
-            raise Forbidden("Invalid context_id")
-
-        user_id, tenant_id = context.get("user_id"), context.get("tenant_id")
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        plugin_id = datasource_provider_id.plugin_id
-        datasource_provider_service = DatasourceProviderService()
-        oauth_client_params = datasource_provider_service.get_oauth_client(
-            tenant_id=tenant_id,
-            datasource_provider_id=datasource_provider_id,
-        )
-        if not oauth_client_params:
-            raise NotFound()
-        redirect_uri = f"{dify_config.CONSOLE_API_URL}/console/api/oauth/plugin/{provider_id}/datasource/callback"
-        oauth_handler = OAuthHandler()
-        oauth_response = oauth_handler.get_credentials(
-            tenant_id=tenant_id,
-            user_id=user_id,
-            plugin_id=plugin_id,
-            provider=datasource_provider_id.provider_name,
-            redirect_uri=redirect_uri,
-            system_credentials=oauth_client_params,
-            request=request,
-        )
-        credential_id = context.get("credential_id")
-        if credential_id:
-            datasource_provider_service.reauthorize_datasource_oauth_provider(
-                tenant_id=tenant_id,
-                provider_id=datasource_provider_id,
-                avatar_url=oauth_response.metadata.get("avatar_url") or None,
-                name=oauth_response.metadata.get("name") or None,
-                expire_at=oauth_response.expires_at,
-                credentials=dict(oauth_response.credentials),
-                credential_id=context.get("credential_id"),
-            )
-        else:
-            datasource_provider_service.add_datasource_oauth_provider(
-                tenant_id=tenant_id,
-                provider_id=datasource_provider_id,
-                avatar_url=oauth_response.metadata.get("avatar_url") or None,
-                name=oauth_response.metadata.get("name") or None,
-                expire_at=oauth_response.expires_at,
-                credentials=dict(oauth_response.credentials),
-            )
-        return redirect(f"{dify_config.CONSOLE_WEB_URL}/oauth-callback")
-
-
-class DatasourceAuth(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider_id: str):
-        if not current_user.is_editor:
-            raise Forbidden()
-
-        parser = reqparse.RequestParser()
-        parser.add_argument(
-            "name", type=StrLen(max_length=100), required=False, nullable=True, location="json", default=None
-        )
-        parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-        args = parser.parse_args()
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        datasource_provider_service = DatasourceProviderService()
-
-        try:
-            datasource_provider_service.add_datasource_api_key_provider(
-                tenant_id=current_user.current_tenant_id,
-                provider_id=datasource_provider_id,
-                credentials=args["credentials"],
-                name=args["name"],
-            )
-        except CredentialsValidateFailedError as ex:
-            raise ValueError(str(ex))
-        return {"result": "success"}, 200
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self, provider_id: str):
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        datasource_provider_service = DatasourceProviderService()
-        datasources = datasource_provider_service.list_datasource_credentials(
-            tenant_id=current_user.current_tenant_id,
-            provider=datasource_provider_id.provider_name,
-            plugin_id=datasource_provider_id.plugin_id,
-        )
-        return {"result": datasources}, 200
-
-
-class DatasourceAuthDeleteApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider_id: str):
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        plugin_id = datasource_provider_id.plugin_id
-        provider_name = datasource_provider_id.provider_name
-        if not current_user.is_editor:
-            raise Forbidden()
-        parser = reqparse.RequestParser()
-        parser.add_argument("credential_id", type=str, required=True, nullable=False, location="json")
-        args = parser.parse_args()
-        datasource_provider_service = DatasourceProviderService()
-        datasource_provider_service.remove_datasource_credentials(
-            tenant_id=current_user.current_tenant_id,
-            auth_id=args["credential_id"],
-            provider=provider_name,
-            plugin_id=plugin_id,
-        )
-        return {"result": "success"}, 200
-
-
-class DatasourceAuthUpdateApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider_id: str):
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        parser = reqparse.RequestParser()
-        parser.add_argument("credentials", type=dict, required=False, nullable=True, location="json")
-        parser.add_argument("name", type=StrLen(max_length=100), required=False, nullable=True, location="json")
-        parser.add_argument("credential_id", type=str, required=True, nullable=False, location="json")
-        args = parser.parse_args()
-        if not current_user.is_editor:
-            raise Forbidden()
-        datasource_provider_service = DatasourceProviderService()
-        datasource_provider_service.update_datasource_credentials(
-            tenant_id=current_user.current_tenant_id,
-            auth_id=args["credential_id"],
-            provider=datasource_provider_id.provider_name,
-            plugin_id=datasource_provider_id.plugin_id,
-            credentials=args.get("credentials", {}),
-            name=args.get("name", None),
-        )
-        return {"result": "success"}, 201
-
-
-class DatasourceAuthListApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self):
-        datasource_provider_service = DatasourceProviderService()
-        datasources = datasource_provider_service.get_all_datasource_credentials(
-            tenant_id=current_user.current_tenant_id
-        )
-        return {"result": jsonable_encoder(datasources)}, 200
-
-
-class DatasourceHardCodeAuthListApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self):
-        datasource_provider_service = DatasourceProviderService()
-        datasources = datasource_provider_service.get_hard_code_datasource_credentials(
-            tenant_id=current_user.current_tenant_id
-        )
-        return {"result": jsonable_encoder(datasources)}, 200
-
-
-class DatasourceAuthOauthCustomClient(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider_id: str):
-        if not current_user.is_editor:
-            raise Forbidden()
-        parser = reqparse.RequestParser()
-        parser.add_argument("client_params", type=dict, required=False, nullable=True, location="json")
-        parser.add_argument("enable_oauth_custom_client", type=bool, required=False, nullable=True, location="json")
-        args = parser.parse_args()
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        datasource_provider_service = DatasourceProviderService()
-        datasource_provider_service.setup_oauth_custom_client_params(
-            tenant_id=current_user.current_tenant_id,
-            datasource_provider_id=datasource_provider_id,
-            client_params=args.get("client_params", {}),
-            enabled=args.get("enable_oauth_custom_client", False),
-        )
-        return {"result": "success"}, 200
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def delete(self, provider_id: str):
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        datasource_provider_service = DatasourceProviderService()
-        datasource_provider_service.remove_oauth_custom_client_params(
-            tenant_id=current_user.current_tenant_id,
-            datasource_provider_id=datasource_provider_id,
-        )
-        return {"result": "success"}, 200
-
-
-class DatasourceAuthDefaultApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider_id: str):
-        if not current_user.is_editor:
-            raise Forbidden()
-        parser = reqparse.RequestParser()
-        parser.add_argument("id", type=str, required=True, nullable=False, location="json")
-        args = parser.parse_args()
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        datasource_provider_service = DatasourceProviderService()
-        datasource_provider_service.set_default_datasource_provider(
-            tenant_id=current_user.current_tenant_id,
-            datasource_provider_id=datasource_provider_id,
-            credential_id=args["id"],
-        )
-        return {"result": "success"}, 200
-
-
-class DatasourceUpdateProviderNameApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider_id: str):
-        if not current_user.is_editor:
-            raise Forbidden()
-        parser = reqparse.RequestParser()
-        parser.add_argument("name", type=StrLen(max_length=100), required=True, nullable=False, location="json")
-        parser.add_argument("credential_id", type=str, required=True, nullable=False, location="json")
-        args = parser.parse_args()
-        datasource_provider_id = DatasourceProviderID(provider_id)
-        datasource_provider_service = DatasourceProviderService()
-        datasource_provider_service.update_datasource_provider_name(
-            tenant_id=current_user.current_tenant_id,
-            datasource_provider_id=datasource_provider_id,
-            name=args["name"],
-            credential_id=args["credential_id"],
-        )
-        return {"result": "success"}, 200
-
-
-api.add_resource(
-    DatasourcePluginOAuthAuthorizationUrl,
-    "/oauth/plugin/<path:provider_id>/datasource/get-authorization-url",
-)
-api.add_resource(
-    DatasourceOAuthCallback,
-    "/oauth/plugin/<path:provider_id>/datasource/callback",
-)
-api.add_resource(
-    DatasourceAuth,
-    "/auth/plugin/datasource/<path:provider_id>",
-)
-
-api.add_resource(
-    DatasourceAuthUpdateApi,
-    "/auth/plugin/datasource/<path:provider_id>/update",
-)
-
-api.add_resource(
-    DatasourceAuthDeleteApi,
-    "/auth/plugin/datasource/<path:provider_id>/delete",
-)
-
-api.add_resource(
-    DatasourceAuthListApi,
-    "/auth/plugin/datasource/list",
-)
-
-api.add_resource(
-    DatasourceHardCodeAuthListApi,
-    "/auth/plugin/datasource/default-list",
-)
-
-api.add_resource(
-    DatasourceAuthOauthCustomClient,
-    "/auth/plugin/datasource/<path:provider_id>/custom-client",
-)
-
-api.add_resource(
-    DatasourceAuthDefaultApi,
-    "/auth/plugin/datasource/<path:provider_id>/default",
-)
-
-api.add_resource(
-    DatasourceUpdateProviderNameApi,
-    "/auth/plugin/datasource/<path:provider_id>/update-name",
-)

api/controllers/console/datasets/rag_pipeline/datasource_content_preview.py

@@ -1,57 +0,0 @@
-from flask_restx import (  # type: ignore
-    Resource,  # type: ignore
-    reqparse,
-)
-from werkzeug.exceptions import Forbidden
-
-from controllers.console import api
-from controllers.console.datasets.wraps import get_rag_pipeline
-from controllers.console.wraps import account_initialization_required, setup_required
-from libs.login import current_user, login_required
-from models import Account
-from models.dataset import Pipeline
-from services.rag_pipeline.rag_pipeline import RagPipelineService
-
-
-class DataSourceContentPreviewApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @get_rag_pipeline
-    def post(self, pipeline: Pipeline, node_id: str):
-        """
-        Run datasource content preview
-        """
-        if not isinstance(current_user, Account):
-            raise Forbidden()
-
-        parser = reqparse.RequestParser()
-        parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-        parser.add_argument("datasource_type", type=str, required=True, location="json")
-        parser.add_argument("credential_id", type=str, required=False, location="json")
-        args = parser.parse_args()
-
-        inputs = args.get("inputs")
-        if inputs is None:
-            raise ValueError("missing inputs")
-        datasource_type = args.get("datasource_type")
-        if datasource_type is None:
-            raise ValueError("missing datasource_type")
-
-        rag_pipeline_service = RagPipelineService()
-        preview_content = rag_pipeline_service.run_datasource_node_preview(
-            pipeline=pipeline,
-            node_id=node_id,
-            user_inputs=inputs,
-            account=current_user,
-            datasource_type=datasource_type,
-            is_published=True,
-            credential_id=args.get("credential_id"),
-        )
-        return preview_content, 200
-
-
-api.add_resource(
-    DataSourceContentPreviewApi,
-    "/rag/pipelines/<uuid:pipeline_id>/workflows/published/datasource/nodes/<string:node_id>/preview",
-)

api/controllers/console/datasets/rag_pipeline/rag_pipeline.py

@@ -1,164 +0,0 @@
-import logging
-
-from flask import request
-from flask_restx import Resource, reqparse
-from sqlalchemy.orm import Session
-
-from controllers.console import api
-from controllers.console.wraps import (
-    account_initialization_required,
-    enterprise_license_required,
-    knowledge_pipeline_publish_enabled,
-    setup_required,
-)
-from extensions.ext_database import db
-from libs.login import login_required
-from models.dataset import PipelineCustomizedTemplate
-from services.entities.knowledge_entities.rag_pipeline_entities import PipelineTemplateInfoEntity
-from services.rag_pipeline.rag_pipeline import RagPipelineService
-
-logger = logging.getLogger(__name__)
-
-
-def _validate_name(name):
-    if not name or len(name) < 1 or len(name) > 40:
-        raise ValueError("Name must be between 1 to 40 characters.")
-    return name
-
-
-def _validate_description_length(description):
-    if len(description) > 400:
-        raise ValueError("Description cannot exceed 400 characters.")
-    return description
-
-
-class PipelineTemplateListApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @enterprise_license_required
-    def get(self):
-        type = request.args.get("type", default="built-in", type=str)
-        language = request.args.get("language", default="en-US", type=str)
-        # get pipeline templates
-        pipeline_templates = RagPipelineService.get_pipeline_templates(type, language)
-        return pipeline_templates, 200
-
-
-class PipelineTemplateDetailApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @enterprise_license_required
-    def get(self, template_id: str):
-        type = request.args.get("type", default="built-in", type=str)
-        rag_pipeline_service = RagPipelineService()
-        pipeline_template = rag_pipeline_service.get_pipeline_template_detail(template_id, type)
-        return pipeline_template, 200
-
-
-class CustomizedPipelineTemplateApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @enterprise_license_required
-    def patch(self, template_id: str):
-        parser = reqparse.RequestParser()
-        parser.add_argument(
-            "name",
-            nullable=False,
-            required=True,
-            help="Name must be between 1 to 40 characters.",
-            type=_validate_name,
-        )
-        parser.add_argument(
-            "description",
-            type=str,
-            nullable=True,
-            required=False,
-            default="",
-        )
-        parser.add_argument(
-            "icon_info",
-            type=dict,
-            location="json",
-            nullable=True,
-        )
-        args = parser.parse_args()
-        pipeline_template_info = PipelineTemplateInfoEntity(**args)
-        RagPipelineService.update_customized_pipeline_template(template_id, pipeline_template_info)
-        return 200
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @enterprise_license_required
-    def delete(self, template_id: str):
-        RagPipelineService.delete_customized_pipeline_template(template_id)
-        return 200
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @enterprise_license_required
-    def post(self, template_id: str):
-        with Session(db.engine) as session:
-            template = (
-                session.query(PipelineCustomizedTemplate).filter(PipelineCustomizedTemplate.id == template_id).first()
-            )
-            if not template:
-                raise ValueError("Customized pipeline template not found.")
-
-        return {"data": template.yaml_content}, 200
-
-
-class PublishCustomizedPipelineTemplateApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @enterprise_license_required
-    @knowledge_pipeline_publish_enabled
-    def post(self, pipeline_id: str):
-        parser = reqparse.RequestParser()
-        parser.add_argument(
-            "name",
-            nullable=False,
-            required=True,
-            help="Name must be between 1 to 40 characters.",
-            type=_validate_name,
-        )
-        parser.add_argument(
-            "description",
-            type=str,
-            nullable=True,
-            required=False,
-            default="",
-        )
-        parser.add_argument(
-            "icon_info",
-            type=dict,
-            location="json",
-            nullable=True,
-        )
-        args = parser.parse_args()
-        rag_pipeline_service = RagPipelineService()
-        rag_pipeline_service.publish_customized_pipeline_template(pipeline_id, args)
-        return {"result": "success"}
-
-
-api.add_resource(
-    PipelineTemplateListApi,
-    "/rag/pipeline/templates",
-)
-api.add_resource(
-    PipelineTemplateDetailApi,
-    "/rag/pipeline/templates/<string:template_id>",
-)
-api.add_resource(
-    CustomizedPipelineTemplateApi,
-    "/rag/pipeline/customized/templates/<string:template_id>",
-)
-api.add_resource(
-    PublishCustomizedPipelineTemplateApi,
-    "/rag/pipelines/<string:pipeline_id>/customized/publish",
-)

api/controllers/console/datasets/rag_pipeline/rag_pipeline_datasets.py

@@ -1,114 +0,0 @@
-from flask_login import current_user  # type: ignore  # type: ignore
-from flask_restx import Resource, marshal, reqparse  # type: ignore
-from sqlalchemy.orm import Session
-from werkzeug.exceptions import Forbidden
-
-import services
-from controllers.console import api
-from controllers.console.datasets.error import DatasetNameDuplicateError
-from controllers.console.wraps import (
-    account_initialization_required,
-    cloud_edition_billing_rate_limit_check,
-    setup_required,
-)
-from extensions.ext_database import db
-from fields.dataset_fields import dataset_detail_fields
-from libs.login import login_required
-from models.dataset import DatasetPermissionEnum
-from services.dataset_service import DatasetPermissionService, DatasetService
-from services.entities.knowledge_entities.rag_pipeline_entities import IconInfo, RagPipelineDatasetCreateEntity
-from services.rag_pipeline.rag_pipeline_dsl_service import RagPipelineDslService
-
-
-def _validate_name(name):
-    if not name or len(name) < 1 or len(name) > 40:
-        raise ValueError("Name must be between 1 to 40 characters.")
-    return name
-
-
-def _validate_description_length(description):
-    if len(description) > 400:
-        raise ValueError("Description cannot exceed 400 characters.")
-    return description
-
-
-class CreateRagPipelineDatasetApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
-    def post(self):
-        parser = reqparse.RequestParser()
-
-        parser.add_argument(
-            "yaml_content",
-            type=str,
-            nullable=False,
-            required=True,
-            help="yaml_content is required.",
-        )
-
-        args = parser.parse_args()
-
-        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
-        if not current_user.is_dataset_editor:
-            raise Forbidden()
-        rag_pipeline_dataset_create_entity = RagPipelineDatasetCreateEntity(
-            name="",
-            description="",
-            icon_info=IconInfo(
-                icon="📙",
-                icon_background="#FFF4ED",
-                icon_type="emoji",
-            ),
-            permission=DatasetPermissionEnum.ONLY_ME,
-            partial_member_list=None,
-            yaml_content=args["yaml_content"],
-        )
-        try:
-            with Session(db.engine) as session:
-                rag_pipeline_dsl_service = RagPipelineDslService(session)
-                import_info = rag_pipeline_dsl_service.create_rag_pipeline_dataset(
-                    tenant_id=current_user.current_tenant_id,
-                    rag_pipeline_dataset_create_entity=rag_pipeline_dataset_create_entity,
-                )
-            if rag_pipeline_dataset_create_entity.permission == "partial_members":
-                DatasetPermissionService.update_partial_member_list(
-                    current_user.current_tenant_id,
-                    import_info["dataset_id"],
-                    rag_pipeline_dataset_create_entity.partial_member_list,
-                )
-        except services.errors.dataset.DatasetNameDuplicateError:
-            raise DatasetNameDuplicateError()
-
-        return import_info, 201
-
-
-class CreateEmptyRagPipelineDatasetApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
-    def post(self):
-        # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
-        if not current_user.is_dataset_editor:
-            raise Forbidden()
-        dataset = DatasetService.create_empty_rag_pipeline_dataset(
-            tenant_id=current_user.current_tenant_id,
-            rag_pipeline_dataset_create_entity=RagPipelineDatasetCreateEntity(
-                name="",
-                description="",
-                icon_info=IconInfo(
-                    icon="📙",
-                    icon_background="#FFF4ED",
-                    icon_type="emoji",
-                ),
-                permission=DatasetPermissionEnum.ONLY_ME,
-                partial_member_list=None,
-            ),
-        )
-        return marshal(dataset, dataset_detail_fields), 201
-
-
-api.add_resource(CreateRagPipelineDatasetApi, "/rag/pipeline/dataset")
-api.add_resource(CreateEmptyRagPipelineDatasetApi, "/rag/pipeline/empty-dataset")

api/controllers/console/datasets/rag_pipeline/rag_pipeline_draft_variable.py

@@ -1,389 +0,0 @@
-import logging
-from typing import Any, NoReturn
-
-from flask import Response
-from flask_restx import Resource, fields, inputs, marshal, marshal_with, reqparse
-from sqlalchemy.orm import Session
-from werkzeug.exceptions import Forbidden
-
-from controllers.console import api
-from controllers.console.app.error import (
-    DraftWorkflowNotExist,
-)
-from controllers.console.app.workflow_draft_variable import (
-    _WORKFLOW_DRAFT_VARIABLE_FIELDS,
-    _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS,
-)
-from controllers.console.datasets.wraps import get_rag_pipeline
-from controllers.console.wraps import account_initialization_required, setup_required
-from controllers.web.error import InvalidArgumentError, NotFoundError
-from core.variables.segment_group import SegmentGroup
-from core.variables.segments import ArrayFileSegment, FileSegment, Segment
-from core.variables.types import SegmentType
-from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID
-from extensions.ext_database import db
-from factories.file_factory import build_from_mapping, build_from_mappings
-from factories.variable_factory import build_segment_with_type
-from libs.login import current_user, login_required
-from models.account import Account
-from models.dataset import Pipeline
-from models.workflow import WorkflowDraftVariable
-from services.rag_pipeline.rag_pipeline import RagPipelineService
-from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService
-
-logger = logging.getLogger(__name__)
-
-
-def _convert_values_to_json_serializable_object(value: Segment) -> Any:
-    if isinstance(value, FileSegment):
-        return value.value.model_dump()
-    elif isinstance(value, ArrayFileSegment):
-        return [i.model_dump() for i in value.value]
-    elif isinstance(value, SegmentGroup):
-        return [_convert_values_to_json_serializable_object(i) for i in value.value]
-    else:
-        return value.value
-
-
-def _serialize_var_value(variable: WorkflowDraftVariable) -> Any:
-    value = variable.get_value()
-    # create a copy of the value to avoid affecting the model cache.
-    value = value.model_copy(deep=True)
-    # Refresh the url signature before returning it to client.
-    if isinstance(value, FileSegment):
-        file = value.value
-        file.remote_url = file.generate_url()
-    elif isinstance(value, ArrayFileSegment):
-        files = value.value
-        for file in files:
-            file.remote_url = file.generate_url()
-    return _convert_values_to_json_serializable_object(value)
-
-
-def _create_pagination_parser():
-    parser = reqparse.RequestParser()
-    parser.add_argument(
-        "page",
-        type=inputs.int_range(1, 100_000),
-        required=False,
-        default=1,
-        location="args",
-        help="the page of data requested",
-    )
-    parser.add_argument("limit", type=inputs.int_range(1, 100), required=False, default=20, location="args")
-    return parser
-
-
-def _get_items(var_list: WorkflowDraftVariableList) -> list[WorkflowDraftVariable]:
-    return var_list.variables
-
-
-_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS = {
-    "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS), attribute=_get_items),
-    "total": fields.Raw(),
-}
-
-_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS = {
-    "items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_FIELDS), attribute=_get_items),
-}
-
-
-def _api_prerequisite(f):
-    """Common prerequisites for all draft workflow variable APIs.
-
-    It ensures the following conditions are satisfied:
-
-    - Dify has been property setup.
-    - The request user has logged in and initialized.
-    - The requested app is a workflow or a chat flow.
-    - The request user has the edit permission for the app.
-    """
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @get_rag_pipeline
-    def wrapper(*args, **kwargs):
-        if not isinstance(current_user, Account) or not current_user.is_editor:
-            raise Forbidden()
-        return f(*args, **kwargs)
-
-    return wrapper
-
-
-class RagPipelineVariableCollectionApi(Resource):
-    @_api_prerequisite
-    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS)
-    def get(self, pipeline: Pipeline):
-        """
-        Get draft workflow
-        """
-        parser = _create_pagination_parser()
-        args = parser.parse_args()
-
-        # fetch draft workflow by app_model
-        rag_pipeline_service = RagPipelineService()
-        workflow_exist = rag_pipeline_service.is_workflow_exist(pipeline=pipeline)
-        if not workflow_exist:
-            raise DraftWorkflowNotExist()
-
-        # fetch draft workflow by app_model
-        with Session(bind=db.engine, expire_on_commit=False) as session:
-            draft_var_srv = WorkflowDraftVariableService(
-                session=session,
-            )
-        workflow_vars = draft_var_srv.list_variables_without_values(
-            app_id=pipeline.id,
-            page=args.page,
-            limit=args.limit,
-        )
-
-        return workflow_vars
-
-    @_api_prerequisite
-    def delete(self, pipeline: Pipeline):
-        draft_var_srv = WorkflowDraftVariableService(
-            session=db.session(),
-        )
-        draft_var_srv.delete_workflow_variables(pipeline.id)
-        db.session.commit()
-        return Response("", 204)
-
-
-def validate_node_id(node_id: str) -> NoReturn | None:
-    if node_id in [
-        CONVERSATION_VARIABLE_NODE_ID,
-        SYSTEM_VARIABLE_NODE_ID,
-    ]:
-        # NOTE(QuantumGhost): While we store the system and conversation variables as node variables
-        # with specific `node_id` in database, we still want to make the API separated. By disallowing
-        # accessing system and conversation variables in `WorkflowDraftNodeVariableListApi`,
-        # we mitigate the risk that user of the API depending on the implementation detail of the API.
-        #
-        # ref: [Hyrum's Law](https://www.hyrumslaw.com/)
-
-        raise InvalidArgumentError(
-            f"invalid node_id, please use correspond api for conversation and system variables, node_id={node_id}",
-        )
-    return None
-
-
-class RagPipelineNodeVariableCollectionApi(Resource):
-    @_api_prerequisite
-    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
-    def get(self, pipeline: Pipeline, node_id: str):
-        validate_node_id(node_id)
-        with Session(bind=db.engine, expire_on_commit=False) as session:
-            draft_var_srv = WorkflowDraftVariableService(
-                session=session,
-            )
-            node_vars = draft_var_srv.list_node_variables(pipeline.id, node_id)
-
-        return node_vars
-
-    @_api_prerequisite
-    def delete(self, pipeline: Pipeline, node_id: str):
-        validate_node_id(node_id)
-        srv = WorkflowDraftVariableService(db.session())
-        srv.delete_node_variables(pipeline.id, node_id)
-        db.session.commit()
-        return Response("", 204)
-
-
-class RagPipelineVariableApi(Resource):
-    _PATCH_NAME_FIELD = "name"
-    _PATCH_VALUE_FIELD = "value"
-
-    @_api_prerequisite
-    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS)
-    def get(self, pipeline: Pipeline, variable_id: str):
-        draft_var_srv = WorkflowDraftVariableService(
-            session=db.session(),
-        )
-        variable = draft_var_srv.get_variable(variable_id=variable_id)
-        if variable is None:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-        if variable.app_id != pipeline.id:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-        return variable
-
-    @_api_prerequisite
-    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS)
-    def patch(self, pipeline: Pipeline, variable_id: str):
-        # Request payload for file types:
-        #
-        # Local File:
-        #
-        #     {
-        #         "type": "image",
-        #         "transfer_method": "local_file",
-        #         "url": "",
-        #         "upload_file_id": "daded54f-72c7-4f8e-9d18-9b0abdd9f190"
-        #     }
-        #
-        # Remote File:
-        #
-        #
-        #     {
-        #         "type": "image",
-        #         "transfer_method": "remote_url",
-        #         "url": "http://127.0.0.1:5001/files/1602650a-4fe4-423c-85a2-af76c083e3c4/file-preview?timestamp=1750041099&nonce=...&sign=...=",
-        #         "upload_file_id": "1602650a-4fe4-423c-85a2-af76c083e3c4"
-        #     }
-
-        parser = reqparse.RequestParser()
-        parser.add_argument(self._PATCH_NAME_FIELD, type=str, required=False, nullable=True, location="json")
-        # Parse 'value' field as-is to maintain its original data structure
-        parser.add_argument(self._PATCH_VALUE_FIELD, type=lambda x: x, required=False, nullable=True, location="json")
-
-        draft_var_srv = WorkflowDraftVariableService(
-            session=db.session(),
-        )
-        args = parser.parse_args(strict=True)
-
-        variable = draft_var_srv.get_variable(variable_id=variable_id)
-        if variable is None:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-        if variable.app_id != pipeline.id:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-
-        new_name = args.get(self._PATCH_NAME_FIELD, None)
-        raw_value = args.get(self._PATCH_VALUE_FIELD, None)
-        if new_name is None and raw_value is None:
-            return variable
-
-        new_value = None
-        if raw_value is not None:
-            if variable.value_type == SegmentType.FILE:
-                if not isinstance(raw_value, dict):
-                    raise InvalidArgumentError(description=f"expected dict for file, got {type(raw_value)}")
-                raw_value = build_from_mapping(mapping=raw_value, tenant_id=pipeline.tenant_id)
-            elif variable.value_type == SegmentType.ARRAY_FILE:
-                if not isinstance(raw_value, list):
-                    raise InvalidArgumentError(description=f"expected list for files, got {type(raw_value)}")
-                if len(raw_value) > 0 and not isinstance(raw_value[0], dict):
-                    raise InvalidArgumentError(description=f"expected dict for files[0], got {type(raw_value)}")
-                raw_value = build_from_mappings(mappings=raw_value, tenant_id=pipeline.tenant_id)
-            new_value = build_segment_with_type(variable.value_type, raw_value)
-        draft_var_srv.update_variable(variable, name=new_name, value=new_value)
-        db.session.commit()
-        return variable
-
-    @_api_prerequisite
-    def delete(self, pipeline: Pipeline, variable_id: str):
-        draft_var_srv = WorkflowDraftVariableService(
-            session=db.session(),
-        )
-        variable = draft_var_srv.get_variable(variable_id=variable_id)
-        if variable is None:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-        if variable.app_id != pipeline.id:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-        draft_var_srv.delete_variable(variable)
-        db.session.commit()
-        return Response("", 204)
-
-
-class RagPipelineVariableResetApi(Resource):
-    @_api_prerequisite
-    def put(self, pipeline: Pipeline, variable_id: str):
-        draft_var_srv = WorkflowDraftVariableService(
-            session=db.session(),
-        )
-
-        rag_pipeline_service = RagPipelineService()
-        draft_workflow = rag_pipeline_service.get_draft_workflow(pipeline=pipeline)
-        if draft_workflow is None:
-            raise NotFoundError(
-                f"Draft workflow not found, pipeline_id={pipeline.id}",
-            )
-        variable = draft_var_srv.get_variable(variable_id=variable_id)
-        if variable is None:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-        if variable.app_id != pipeline.id:
-            raise NotFoundError(description=f"variable not found, id={variable_id}")
-
-        resetted = draft_var_srv.reset_variable(draft_workflow, variable)
-        db.session.commit()
-        if resetted is None:
-            return Response("", 204)
-        else:
-            return marshal(resetted, _WORKFLOW_DRAFT_VARIABLE_FIELDS)
-
-
-def _get_variable_list(pipeline: Pipeline, node_id) -> WorkflowDraftVariableList:
-    with Session(bind=db.engine, expire_on_commit=False) as session:
-        draft_var_srv = WorkflowDraftVariableService(
-            session=session,
-        )
-        if node_id == CONVERSATION_VARIABLE_NODE_ID:
-            draft_vars = draft_var_srv.list_conversation_variables(pipeline.id)
-        elif node_id == SYSTEM_VARIABLE_NODE_ID:
-            draft_vars = draft_var_srv.list_system_variables(pipeline.id)
-        else:
-            draft_vars = draft_var_srv.list_node_variables(app_id=pipeline.id, node_id=node_id)
-    return draft_vars
-
-
-class RagPipelineSystemVariableCollectionApi(Resource):
-    @_api_prerequisite
-    @marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
-    def get(self, pipeline: Pipeline):
-        return _get_variable_list(pipeline, SYSTEM_VARIABLE_NODE_ID)
-
-
-class RagPipelineEnvironmentVariableCollectionApi(Resource):
-    @_api_prerequisite
-    def get(self, pipeline: Pipeline):
-        """
-        Get draft workflow
-        """
-        # fetch draft workflow by app_model
-        rag_pipeline_service = RagPipelineService()
-        workflow = rag_pipeline_service.get_draft_workflow(pipeline=pipeline)
-        if workflow is None:
-            raise DraftWorkflowNotExist()
-
-        env_vars = workflow.environment_variables
-        env_vars_list = []
-        for v in env_vars:
-            env_vars_list.append(
-                {
-                    "id": v.id,
-                    "type": "env",
-                    "name": v.name,
-                    "description": v.description,
-                    "selector": v.selector,
-                    "value_type": v.value_type.value,
-                    "value": v.value,
-                    # Do not track edited for env vars.
-                    "edited": False,
-                    "visible": True,
-                    "editable": True,
-                }
-            )
-
-        return {"items": env_vars_list}
-
-
-api.add_resource(
-    RagPipelineVariableCollectionApi,
-    "/rag/pipelines/<uuid:pipeline_id>/workflows/draft/variables",
-)
-api.add_resource(
-    RagPipelineNodeVariableCollectionApi,
-    "/rag/pipelines/<uuid:pipeline_id>/workflows/draft/nodes/<string:node_id>/variables",
-)
-api.add_resource(
-    RagPipelineVariableApi, "/rag/pipelines/<uuid:pipeline_id>/workflows/draft/variables/<uuid:variable_id>"
-)
-api.add_resource(
-    RagPipelineVariableResetApi, "/rag/pipelines/<uuid:pipeline_id>/workflows/draft/variables/<uuid:variable_id>/reset"
-)
-api.add_resource(
-    RagPipelineSystemVariableCollectionApi, "/rag/pipelines/<uuid:pipeline_id>/workflows/draft/system-variables"
-)
-api.add_resource(
-    RagPipelineEnvironmentVariableCollectionApi,
-    "/rag/pipelines/<uuid:pipeline_id>/workflows/draft/environment-variables",
-)

api/controllers/console/datasets/rag_pipeline/rag_pipeline_import.py

@@ -1,147 +0,0 @@
-from typing import cast
-
-from flask_login import current_user  # type: ignore
-from flask_restx import Resource, marshal_with, reqparse  # type: ignore
-from sqlalchemy.orm import Session
-from werkzeug.exceptions import Forbidden
-
-from controllers.console import api
-from controllers.console.datasets.wraps import get_rag_pipeline
-from controllers.console.wraps import (
-    account_initialization_required,
-    setup_required,
-)
-from extensions.ext_database import db
-from fields.rag_pipeline_fields import pipeline_import_check_dependencies_fields, pipeline_import_fields
-from libs.login import login_required
-from models import Account
-from models.dataset import Pipeline
-from services.app_dsl_service import ImportStatus
-from services.rag_pipeline.rag_pipeline_dsl_service import RagPipelineDslService
-
-
-class RagPipelineImportApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @marshal_with(pipeline_import_fields)
-    def post(self):
-        # Check user role first
-        if not current_user.is_editor:
-            raise Forbidden()
-
-        parser = reqparse.RequestParser()
-        parser.add_argument("mode", type=str, required=True, location="json")
-        parser.add_argument("yaml_content", type=str, location="json")
-        parser.add_argument("yaml_url", type=str, location="json")
-        parser.add_argument("name", type=str, location="json")
-        parser.add_argument("description", type=str, location="json")
-        parser.add_argument("icon_type", type=str, location="json")
-        parser.add_argument("icon", type=str, location="json")
-        parser.add_argument("icon_background", type=str, location="json")
-        parser.add_argument("pipeline_id", type=str, location="json")
-        args = parser.parse_args()
-
-        # Create service with session
-        with Session(db.engine) as session:
-            import_service = RagPipelineDslService(session)
-            # Import app
-            account = cast(Account, current_user)
-            result = import_service.import_rag_pipeline(
-                account=account,
-                import_mode=args["mode"],
-                yaml_content=args.get("yaml_content"),
-                yaml_url=args.get("yaml_url"),
-                pipeline_id=args.get("pipeline_id"),
-                dataset_name=args.get("name"),
-            )
-            session.commit()
-
-        # Return appropriate status code based on result
-        status = result.status
-        if status == ImportStatus.FAILED.value:
-            return result.model_dump(mode="json"), 400
-        elif status == ImportStatus.PENDING.value:
-            return result.model_dump(mode="json"), 202
-        return result.model_dump(mode="json"), 200
-
-
-class RagPipelineImportConfirmApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @marshal_with(pipeline_import_fields)
-    def post(self, import_id):
-        # Check user role first
-        if not current_user.is_editor:
-            raise Forbidden()
-
-        # Create service with session
-        with Session(db.engine) as session:
-            import_service = RagPipelineDslService(session)
-            # Confirm import
-            account = cast(Account, current_user)
-            result = import_service.confirm_import(import_id=import_id, account=account)
-            session.commit()
-
-        # Return appropriate status code based on result
-        if result.status == ImportStatus.FAILED.value:
-            return result.model_dump(mode="json"), 400
-        return result.model_dump(mode="json"), 200
-
-
-class RagPipelineImportCheckDependenciesApi(Resource):
-    @setup_required
-    @login_required
-    @get_rag_pipeline
-    @account_initialization_required
-    @marshal_with(pipeline_import_check_dependencies_fields)
-    def get(self, pipeline: Pipeline):
-        if not current_user.is_editor:
-            raise Forbidden()
-
-        with Session(db.engine) as session:
-            import_service = RagPipelineDslService(session)
-            result = import_service.check_dependencies(pipeline=pipeline)
-
-        return result.model_dump(mode="json"), 200
-
-
-class RagPipelineExportApi(Resource):
-    @setup_required
-    @login_required
-    @get_rag_pipeline
-    @account_initialization_required
-    def get(self, pipeline: Pipeline):
-        if not current_user.is_editor:
-            raise Forbidden()
-
-            # Add include_secret params
-        parser = reqparse.RequestParser()
-        parser.add_argument("include_secret", type=bool, default=False, location="args")
-        args = parser.parse_args()
-
-        with Session(db.engine) as session:
-            export_service = RagPipelineDslService(session)
-            result = export_service.export_rag_pipeline_dsl(pipeline=pipeline, include_secret=args["include_secret"])
-
-        return {"data": result}, 200
-
-
-# Import Rag Pipeline
-api.add_resource(
-    RagPipelineImportApi,
-    "/rag/pipelines/imports",
-)
-api.add_resource(
-    RagPipelineImportConfirmApi,
-    "/rag/pipelines/imports/<string:import_id>/confirm",
-)
-api.add_resource(
-    RagPipelineImportCheckDependenciesApi,
-    "/rag/pipelines/imports/<string:pipeline_id>/check-dependencies",
-)
-api.add_resource(
-    RagPipelineExportApi,
-    "/rag/pipelines/<string:pipeline_id>/exports",
-)

api/controllers/console/datasets/wraps.py

@@ -1,47 +0,0 @@
-from collections.abc import Callable
-from functools import wraps
-from typing import Optional
-
-from controllers.console.datasets.error import PipelineNotFoundError
-from extensions.ext_database import db
-from libs.login import current_user
-from models.account import Account
-from models.dataset import Pipeline
-
-
-def get_rag_pipeline(
-    view: Optional[Callable] = None,
-):
-    def decorator(view_func):
-        @wraps(view_func)
-        def decorated_view(*args, **kwargs):
-            if not kwargs.get("pipeline_id"):
-                raise ValueError("missing pipeline_id in path parameters")
-
-            if not isinstance(current_user, Account):
-                raise ValueError("current_user is not an account")
-
-            pipeline_id = kwargs.get("pipeline_id")
-            pipeline_id = str(pipeline_id)
-
-            del kwargs["pipeline_id"]
-
-            pipeline = (
-                db.session.query(Pipeline)
-                .filter(Pipeline.id == pipeline_id, Pipeline.tenant_id == current_user.current_tenant_id)
-                .first()
-            )
-
-            if not pipeline:
-                raise PipelineNotFoundError()
-
-            kwargs["pipeline"] = pipeline
-
-            return view_func(*args, **kwargs)
-
-        return decorated_view
-
-    if view is None:
-        return decorator
-    else:
-        return decorator(view)

api/controllers/console/explore/conversation.py

@@ -61,6 +61,7 @@ class ConversationApi(InstalledAppResource):
             ConversationService.delete(app_model, conversation_id, current_user)
         except ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
+        WebConversationService.unpin(app_model, conversation_id, current_user)
 
         return {"result": "success"}, 204
 

api/controllers/console/explore/workflow.py

@@ -20,7 +20,6 @@ from core.errors.error import (
     QuotaExceededError,
 )
 from core.model_runtime.errors.invoke import InvokeError
-from core.workflow.graph_engine.manager import GraphEngineManager
 from libs import helper
 from libs.login import current_user
 from models.model import AppMode, InstalledApp
@@ -79,11 +78,6 @@ class InstalledAppWorkflowTaskStopApi(InstalledAppResource):
             raise NotWorkflowAppError()
         assert current_user is not None
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
 
         return {"result": "success"}

api/controllers/console/files.py

@@ -20,7 +20,6 @@ from controllers.console.wraps import (
     cloud_edition_billing_resource_check,
     setup_required,
 )
-from extensions.ext_database import db
 from fields.file_fields import file_fields, upload_config_fields
 from libs.login import login_required
 from services.file_service import FileService
@@ -69,7 +68,7 @@ class FileApi(Resource):
             source = None
 
         try:
-            upload_file = FileService(db.engine).upload_file(
+            upload_file = FileService.upload_file(
                 filename=file.filename,
                 content=file.read(),
                 mimetype=file.mimetype,
@@ -90,7 +89,7 @@ class FilePreviewApi(Resource):
     @account_initialization_required
     def get(self, file_id):
         file_id = str(file_id)
-        text = FileService(db.engine).get_file_preview(file_id)
+        text = FileService.get_file_preview(file_id)
         return {"content": text}
 
 

api/controllers/console/remote_files.py

@@ -14,7 +14,6 @@ from controllers.common.errors import (
 )
 from core.file import helpers as file_helpers
 from core.helper import ssrf_proxy
-from extensions.ext_database import db
 from fields.file_fields import file_fields_with_signed_url, remote_file_info_fields
 from models.account import Account
 from services.file_service import FileService
@@ -62,7 +61,7 @@ class RemoteFileUploadApi(Resource):
 
         try:
             user = cast(Account, current_user)
-            upload_file = FileService(db.engine).upload_file(
+            upload_file = FileService.upload_file(
                 filename=file_info.filename,
                 content=content,
                 mimetype=file_info.mimetype,

api/controllers/console/spec.py

@@ -1,35 +0,0 @@
-import logging
-
-from flask_restx import Resource
-
-from controllers.console import api
-from controllers.console.wraps import (
-    account_initialization_required,
-    setup_required,
-)
-from core.schemas.schema_manager import SchemaManager
-from libs.login import login_required
-
-logger = logging.getLogger(__name__)
-
-
-class SpecSchemaDefinitionsApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self):
-        """
-        Get system JSON Schema definitions specification
-        Used for frontend component type mapping
-        """
-        try:
-            schema_manager = SchemaManager()
-            schema_definitions = schema_manager.get_all_schema_definitions()
-            return schema_definitions, 200
-        except Exception:
-            logger.exception("Failed to get schema definitions from local registry")
-            # Return empty array as fallback
-            return [], 200
-
-
-api.add_resource(SpecSchemaDefinitionsApi, "/spec/schema-definitions")

api/controllers/console/workspace/model_providers.py

@@ -67,7 +67,7 @@ class ModelProviderCredentialApi(Resource):
 
         parser = reqparse.RequestParser()
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
+        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
         args = parser.parse_args()
 
         model_provider_service = ModelProviderService()
@@ -94,7 +94,7 @@ class ModelProviderCredentialApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument("credential_id", type=uuid_value, required=True, nullable=False, location="json")
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
+        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
         args = parser.parse_args()
 
         model_provider_service = ModelProviderService()

api/controllers/console/workspace/models.py

@@ -219,11 +219,7 @@ class ModelProviderModelCredentialApi(Resource):
 
         model_load_balancing_service = ModelLoadBalancingService()
         is_load_balancing_enabled, load_balancing_configs = model_load_balancing_service.get_load_balancing_configs(
-            tenant_id=tenant_id,
-            provider=provider,
-            model=args["model"],
-            model_type=args["model_type"],
-            config_from=args.get("config_from", ""),
+            tenant_id=tenant_id, provider=provider, model=args["model"], model_type=args["model_type"]
         )
 
         if args.get("config_from", "") == "predefined-model":
@@ -267,7 +263,7 @@ class ModelProviderModelCredentialApi(Resource):
             choices=[mt.value for mt in ModelType],
             location="json",
         )
-        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
+        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
         args = parser.parse_args()
 
@@ -313,7 +309,7 @@ class ModelProviderModelCredentialApi(Resource):
         )
         parser.add_argument("credential_id", type=uuid_value, required=True, nullable=False, location="json")
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-        parser.add_argument("name", type=StrLen(30), required=False, nullable=True, location="json")
+        parser.add_argument("name", type=StrLen(30), required=True, nullable=False, location="json")
         args = parser.parse_args()
 
         model_provider_service = ModelProviderService()

api/controllers/console/workspace/tool_providers.py

@@ -21,11 +21,11 @@ from core.mcp.auth.auth_provider import OAuthClientProvider
 from core.mcp.error import MCPAuthError, MCPError
 from core.mcp.mcp_client import MCPClient
 from core.model_runtime.utils.encoders import jsonable_encoder
+from core.plugin.entities.plugin import ToolProviderID
 from core.plugin.impl.oauth import OAuthHandler
 from core.tools.entities.tool_entities import CredentialType
 from libs.helper import StrLen, alphanumeric, uuid_value
 from libs.login import login_required
-from models.provider_ids import ToolProviderID
 from services.plugin.oauth_service import OAuthProxyService
 from services.tools.api_tools_manage_service import ApiToolManageService
 from services.tools.builtin_tools_manage_service import BuiltinToolManageService

api/controllers/console/workspace/workspace.py

@@ -211,7 +211,7 @@ class WebappLogoWorkspaceApi(Resource):
             raise UnsupportedFileTypeError()
 
         try:
-            upload_file = FileService(db.engine).upload_file(
+            upload_file = FileService.upload_file(
                 filename=file.filename,
                 content=file.read(),
                 mimetype=file.mimetype,

api/controllers/console/wraps.py

@@ -261,14 +261,3 @@ def is_allow_transfer_owner(view):
         abort(403)
 
     return decorated
-
-
-def knowledge_pipeline_publish_enabled(view):
-    @wraps(view)
-    def decorated(*args, **kwargs):
-        features = FeatureService.get_features(current_user.current_tenant_id)
-        if features.knowledge_pipeline.publish_enabled:
-            return view(*args, **kwargs)
-        abort(403)
-
-    return decorated

api/controllers/files/image_preview.py

@@ -7,7 +7,6 @@ from werkzeug.exceptions import NotFound
 import services
 from controllers.common.errors import UnsupportedFileTypeError
 from controllers.files import files_ns
-from extensions.ext_database import db
 from services.account_service import TenantService
 from services.file_service import FileService
 
@@ -29,7 +28,7 @@ class ImagePreviewApi(Resource):
             return {"content": "Invalid request."}, 400
 
         try:
-            generator, mimetype = FileService(db.engine).get_image_preview(
+            generator, mimetype = FileService.get_image_preview(
                 file_id=file_id,
                 timestamp=timestamp,
                 nonce=nonce,
@@ -58,7 +57,7 @@ class FilePreviewApi(Resource):
             return {"content": "Invalid request."}, 400
 
         try:
-            generator, upload_file = FileService(db.engine).get_file_generator_by_file_id(
+            generator, upload_file = FileService.get_file_generator_by_file_id(
                 file_id=file_id,
                 timestamp=args["timestamp"],
                 nonce=args["nonce"],
@@ -109,7 +108,7 @@ class WorkspaceWebappLogoApi(Resource):
             raise NotFound("webapp logo is not found")
 
         try:
-            generator, mimetype = FileService(db.engine).get_public_image_preview(
+            generator, mimetype = FileService.get_public_image_preview(
                 webapp_logo_file_id,
             )
         except services.errors.file.UnsupportedFileTypeError:

api/controllers/files/tool_files.py

@@ -8,7 +8,7 @@ from controllers.common.errors import UnsupportedFileTypeError
 from controllers.files import files_ns
 from core.tools.signature import verify_tool_file_signature
 from core.tools.tool_file_manager import ToolFileManager
-from extensions.ext_database import db as global_db
+from models import db as global_db
 
 
 @files_ns.route("/tools/<uuid:file_id>.<string:extension>")

api/controllers/service_api/app/audio.py

@@ -55,7 +55,7 @@ class AudioApi(Resource):
         file = request.files["file"]
 
         try:
-            response = AudioService.transcript_asr(app_model=app_model, file=file, end_user=end_user.id)
+            response = AudioService.transcript_asr(app_model=app_model, file=file, end_user=end_user)
 
             return response
         except services.errors.app_model_config.AppModelConfigBrokenError:

api/controllers/service_api/app/file.py

@@ -12,9 +12,8 @@ from controllers.common.errors import (
 )
 from controllers.service_api import service_api_ns
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
-from extensions.ext_database import db
 from fields.file_fields import build_file_model
-from models import App, EndUser
+from models.model import App, EndUser
 from services.file_service import FileService
 
 
@@ -53,7 +52,7 @@ class FileApi(Resource):
             raise FilenameNotExistsError
 
         try:
-            upload_file = FileService(db.engine).upload_file(
+            upload_file = FileService.upload_file(
                 filename=file.filename,
                 content=file.read(),
                 mimetype=file.mimetype,

api/controllers/service_api/app/file_preview.py

@@ -59,7 +59,7 @@ class FilePreviewApi(Resource):
         args = file_preview_parser.parse_args()
 
         # Validate file ownership and get file objects
-        _, upload_file = self._validate_file_ownership(file_id, app_model.id)
+        message_file, upload_file = self._validate_file_ownership(file_id, app_model.id)
 
         # Get file content generator
         try:

api/controllers/service_api/app/workflow.py

@@ -26,8 +26,7 @@ from core.errors.error import (
 )
 from core.helper.trace_id_helper import get_external_trace_id
 from core.model_runtime.errors.invoke import InvokeError
-from core.workflow.enums import WorkflowExecutionStatus
-from core.workflow.graph_engine.manager import GraphEngineManager
+from core.workflow.entities.workflow_execution import WorkflowExecutionStatus
 from extensions.ext_database import db
 from fields.workflow_app_log_fields import build_workflow_app_log_pagination_model
 from libs import helper
@@ -263,12 +262,7 @@ class WorkflowTaskStopApi(Resource):
         if app_mode != AppMode.WORKFLOW:
             raise NotWorkflowAppError()
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)
 
         return {"result": "success"}
 

api/controllers/service_api/dataset/dataset.py

@@ -13,13 +13,13 @@ from controllers.service_api.wraps import (
     validate_dataset_token,
 )
 from core.model_runtime.entities.model_entities import ModelType
+from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
 from fields.dataset_fields import dataset_detail_fields
 from fields.tag_fields import build_dataset_tag_fields
 from libs.login import current_user
 from models.account import Account
 from models.dataset import Dataset, DatasetPermissionEnum
-from models.provider_ids import ModelProviderID
 from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
 from services.tag_service import TagService

api/controllers/service_api/dataset/document.py

@@ -123,7 +123,7 @@ class DocumentAddByTextApi(DatasetApiResource):
                 args.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
             )
 
-        upload_file = FileService(db.engine).upload_text(text=str(text), text_name=str(name))
+        upload_file = FileService.upload_text(text=str(text), text_name=str(name))
         data_source = {
             "type": "upload_file",
             "info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
@@ -133,9 +133,6 @@ class DocumentAddByTextApi(DatasetApiResource):
         # validate args
         DocumentService.document_create_args_validate(knowledge_config)
 
-        if not current_user:
-            raise ValueError("current_user is required")
-
         try:
             documents, batch = DocumentService.save_document_with_dataset_id(
                 dataset=dataset,
@@ -201,7 +198,7 @@ class DocumentUpdateByTextApi(DatasetApiResource):
             name = args.get("name")
             if text is None or name is None:
                 raise ValueError("Both text and name must be strings.")
-            upload_file = FileService(db.engine).upload_text(text=str(text), text_name=str(name))
+            upload_file = FileService.upload_text(text=str(text), text_name=str(name))
             data_source = {
                 "type": "upload_file",
                 "info_list": {"data_source_type": "upload_file", "file_info_list": {"file_ids": [upload_file.id]}},
@@ -301,7 +298,7 @@ class DocumentAddByFileApi(DatasetApiResource):
         if not file.filename:
             raise FilenameNotExistsError
 
-        upload_file = FileService(db.engine).upload_file(
+        upload_file = FileService.upload_file(
             filename=file.filename,
             content=file.read(),
             mimetype=file.mimetype,
@@ -390,7 +387,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):
                 raise FilenameNotExistsError
 
             try:
-                upload_file = FileService(db.engine).upload_file(
+                upload_file = FileService.upload_file(
                     filename=file.filename,
                     content=file.read(),
                     mimetype=file.mimetype,
@@ -413,7 +410,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):
         DocumentService.document_create_args_validate(knowledge_config)
 
         try:
-            documents, _ = DocumentService.save_document_with_dataset_id(
+            documents, batch = DocumentService.save_document_with_dataset_id(
                 dataset=dataset,
                 knowledge_config=knowledge_config,
                 account=dataset.created_by_account,

api/controllers/service_api/wraps.py

@@ -1,7 +1,7 @@
 import time
 from collections.abc import Callable
 from datetime import timedelta
-from enum import StrEnum, auto
+from enum import Enum
 from functools import wraps
 from typing import Optional
 
@@ -23,14 +23,14 @@ from models.model import ApiToken, App, EndUser
 from services.feature_service import FeatureService
 
 
-class WhereisUserArg(StrEnum):
+class WhereisUserArg(Enum):
     """
     Enum for whereis_user_arg.
     """
 
-    QUERY = auto()
-    JSON = auto()
-    FORM = auto()
+    QUERY = "query"
+    JSON = "json"
+    FORM = "form"
 
 
 class FetchUserArg(BaseModel):
@@ -291,28 +291,27 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
     if not user_id:
         user_id = "DEFAULT-USER"
 
-    with Session(db.engine, expire_on_commit=False) as session:
-        end_user = (
-            session.query(EndUser)
-            .where(
-                EndUser.tenant_id == app_model.tenant_id,
-                EndUser.app_id == app_model.id,
-                EndUser.session_id == user_id,
-                EndUser.type == "service_api",
-            )
-            .first()
+    end_user = (
+        db.session.query(EndUser)
+        .where(
+            EndUser.tenant_id == app_model.tenant_id,
+            EndUser.app_id == app_model.id,
+            EndUser.session_id == user_id,
+            EndUser.type == "service_api",
         )
+        .first()
+    )
 
-        if end_user is None:
-            end_user = EndUser(
-                tenant_id=app_model.tenant_id,
-                app_id=app_model.id,
-                type="service_api",
-                is_anonymous=user_id == "DEFAULT-USER",
-                session_id=user_id,
-            )
-            session.add(end_user)
-            session.commit()
+    if end_user is None:
+        end_user = EndUser(
+            tenant_id=app_model.tenant_id,
+            app_id=app_model.id,
+            type="service_api",
+            is_anonymous=user_id == "DEFAULT-USER",
+            session_id=user_id,
+        )
+        db.session.add(end_user)
+        db.session.commit()
 
     return end_user
 

api/controllers/web/conversation.py

@@ -73,6 +73,8 @@ class ConversationApi(WebApiResource):
             ConversationService.delete(app_model, conversation_id, end_user)
         except ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
+        WebConversationService.unpin(app_model, conversation_id, end_user)
+
         return {"result": "success"}, 204
 
 

api/controllers/web/files.py

@@ -11,7 +11,6 @@ from controllers.common.errors import (
 )
 from controllers.web import web_ns
 from controllers.web.wraps import WebApiResource
-from extensions.ext_database import db
 from fields.file_fields import build_file_model
 from services.file_service import FileService
 
@@ -69,7 +68,7 @@ class FileApi(WebApiResource):
             source = None
 
         try:
-            upload_file = FileService(db.engine).upload_file(
+            upload_file = FileService.upload_file(
                 filename=file.filename,
                 content=file.read(),
                 mimetype=file.mimetype,

api/controllers/web/remote_files.py

@@ -14,7 +14,6 @@ from controllers.web import web_ns
 from controllers.web.wraps import WebApiResource
 from core.file import helpers as file_helpers
 from core.helper import ssrf_proxy
-from extensions.ext_database import db
 from fields.file_fields import build_file_with_signed_url_model, build_remote_file_info_model
 from services.file_service import FileService
 
@@ -120,7 +119,7 @@ class RemoteFileUploadApi(WebApiResource):
         content = resp.content if resp.request.method == "GET" else ssrf_proxy.get(url).content
 
         try:
-            upload_file = FileService(db.engine).upload_file(
+            upload_file = FileService.upload_file(
                 filename=file_info.filename,
                 content=content,
                 mimetype=file_info.mimetype,

api/controllers/web/workflow.py

@@ -21,7 +21,6 @@ from core.errors.error import (
     QuotaExceededError,
 )
 from core.model_runtime.errors.invoke import InvokeError
-from core.workflow.graph_engine.manager import GraphEngineManager
 from libs import helper
 from models.model import App, AppMode, EndUser
 from services.app_generate_service import AppGenerateService
@@ -111,12 +110,7 @@ class WorkflowTaskStopApi(WebApiResource):
         if app_mode != AppMode.WORKFLOW:
             raise NotWorkflowAppError()
 
-        # Stop using both mechanisms for backward compatibility
-        # Legacy stop flag mechanism (without user check)
-        AppQueueManager.set_stop_flag_no_user_check(task_id)
-
-        # New graph engine command channel mechanism
-        GraphEngineManager.send_stop_command(task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.WEB_APP, end_user.id)
 
         return {"result": "success"}
 

api/controllers/web/wraps.py

@@ -4,7 +4,6 @@ from functools import wraps
 from flask import request
 from flask_restx import Resource
 from sqlalchemy import select
-from sqlalchemy.orm import Session
 from werkzeug.exceptions import BadRequest, NotFound, Unauthorized
 
 from controllers.web.error import WebAppAuthAccessDeniedError, WebAppAuthRequiredError
@@ -50,19 +49,18 @@ def decode_jwt_token():
         decoded = PassportService().verify(tk)
         app_code = decoded.get("app_code")
         app_id = decoded.get("app_id")
-        with Session(db.engine, expire_on_commit=False) as session:
-            app_model = session.scalar(select(App).where(App.id == app_id))
-            site = session.scalar(select(Site).where(Site.code == app_code))
-            if not app_model:
-                raise NotFound()
-            if not app_code or not site:
-                raise BadRequest("Site URL is no longer valid.")
-            if app_model.enable_site is False:
-                raise BadRequest("Site is disabled.")
-            end_user_id = decoded.get("end_user_id")
-            end_user = session.scalar(select(EndUser).where(EndUser.id == end_user_id))
-            if not end_user:
-                raise NotFound()
+        app_model = db.session.scalar(select(App).where(App.id == app_id))
+        site = db.session.scalar(select(Site).where(Site.code == app_code))
+        if not app_model:
+            raise NotFound()
+        if not app_code or not site:
+            raise BadRequest("Site URL is no longer valid.")
+        if app_model.enable_site is False:
+            raise BadRequest("Site is disabled.")
+        end_user_id = decoded.get("end_user_id")
+        end_user = db.session.scalar(select(EndUser).where(EndUser.id == end_user_id))
+        if not end_user:
+            raise NotFound()
 
         # for enterprise webapp auth
         app_web_auth_enabled = False

api/core/agent/base_agent_runner.py

@@ -90,9 +90,7 @@ class BaseAgentRunner(AppRunner):
             tenant_id=tenant_id,
             dataset_ids=app_config.dataset.dataset_ids if app_config.dataset else [],
             retrieve_config=app_config.dataset.retrieve_config if app_config.dataset else None,
-            return_resource=(
-                app_config.additional_features.show_retrieve_source if app_config.additional_features else False
-            ),
+            return_resource=app_config.additional_features.show_retrieve_source,
             invoke_from=application_generate_entity.invoke_from,
             hit_callback=hit_callback,
             user_id=user_id,
@@ -336,8 +334,7 @@ class BaseAgentRunner(AppRunner):
         """
         Save agent thought
         """
-        stmt = select(MessageAgentThought).where(MessageAgentThought.id == agent_thought_id)
-        agent_thought = db.session.scalar(stmt)
+        agent_thought = db.session.query(MessageAgentThought).where(MessageAgentThought.id == agent_thought_id).first()
         if not agent_thought:
             raise ValueError("agent thought not found")
 
@@ -495,8 +492,7 @@ class BaseAgentRunner(AppRunner):
         return result
 
     def organize_agent_user_prompt(self, message: Message) -> UserPromptMessage:
-        stmt = select(MessageFile).where(MessageFile.message_id == message.id)
-        files = db.session.scalars(stmt).all()
+        files = db.session.query(MessageFile).where(MessageFile.message_id == message.id).all()
         if not files:
             return UserPromptMessage(content=message.query)
         if message.app_model_config:

api/core/app/app_config/easy_ui_based_app/model_config/manager.py

@@ -4,8 +4,8 @@ from typing import Any
 from core.app.app_config.entities import ModelConfigEntity
 from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
 from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
-from models.provider_ids import ModelProviderID
 
 
 class ModelConfigManager:

api/core/app/app_config/entities.py

@@ -114,9 +114,9 @@ class VariableEntity(BaseModel):
     hide: bool = False
     max_length: Optional[int] = None
     options: Sequence[str] = Field(default_factory=list)
-    allowed_file_types: Optional[Sequence[FileType]] = Field(default_factory=list)
-    allowed_file_extensions: Optional[Sequence[str]] = Field(default_factory=list)
-    allowed_file_upload_methods: Optional[Sequence[FileTransferMethod]] = 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)
 
     @field_validator("description", mode="before")
     @classmethod
@@ -129,16 +129,6 @@ class VariableEntity(BaseModel):
         return v or []
 
 
-class RagPipelineVariableEntity(VariableEntity):
-    """
-    Rag Pipeline Variable Entity.
-    """
-
-    tooltips: Optional[str] = None
-    placeholder: Optional[str] = None
-    belong_to_node_id: str
-
-
 class ExternalDataVariableEntity(BaseModel):
     """
     External Data Variable Entity.
@@ -298,7 +288,7 @@ class AppConfig(BaseModel):
     tenant_id: str
     app_id: str
     app_mode: AppMode
-    additional_features: Optional[AppAdditionalFeatures] = None
+    additional_features: AppAdditionalFeatures
     variables: list[VariableEntity] = []
     sensitive_word_avoidance: Optional[SensitiveWordAvoidanceEntity] = None
 

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

@@ -26,7 +26,7 @@ class MoreLikeThisConfigManager:
     def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
         try:
             return AppConfigModel.model_validate(config).model_dump(), ["more_like_this"]
-        except ValidationError:
+        except ValidationError as e:
             raise ValueError(
                 "more_like_this must be of dict type and enabled in more_like_this must be of boolean type"
             )

api/core/app/app_config/workflow_ui_based_app/variables/manager.py

@@ -1,6 +1,4 @@
-import re
-
-from core.app.app_config.entities import RagPipelineVariableEntity, VariableEntity
+from core.app.app_config.entities import VariableEntity
 from models.workflow import Workflow
 
 
@@ -22,48 +20,3 @@ class WorkflowVariablesConfigManager:
             variables.append(VariableEntity.model_validate(variable))
 
         return variables
-
-    @classmethod
-    def convert_rag_pipeline_variable(cls, workflow: Workflow, start_node_id: str) -> list[RagPipelineVariableEntity]:
-        """
-        Convert workflow start variables to variables
-
-        :param workflow: workflow instance
-        """
-        variables = []
-
-        # get second step node
-        rag_pipeline_variables = workflow.rag_pipeline_variables
-        if not rag_pipeline_variables:
-            return []
-        variables_map = {item["variable"]: item for item in rag_pipeline_variables}
-
-        # get datasource node data
-        datasource_node_data = None
-        datasource_nodes = workflow.graph_dict.get("nodes", [])
-        for datasource_node in datasource_nodes:
-            if datasource_node.get("id") == start_node_id:
-                datasource_node_data = datasource_node.get("data", {})
-                break
-        if datasource_node_data:
-            datasource_parameters = datasource_node_data.get("datasource_parameters", {})
-
-            for _, value in datasource_parameters.items():
-                if value.get("value") and isinstance(value.get("value"), str):
-                    pattern = r"\{\{#([a-zA-Z0-9_]{1,50}(?:\.[a-zA-Z0-9_][a-zA-Z0-9_]{0,29}){1,10})#\}\}"
-                    match = re.match(pattern, value["value"])
-                    if match:
-                        full_path = match.group(1)
-                        last_part = full_path.split(".")[-1]
-                        variables_map.pop(last_part, None)
-                if value.get("value") and isinstance(value.get("value"), list):
-                    last_part = value.get("value")[-1]
-                    variables_map.pop(last_part, None)
-
-        all_second_step_variables = list(variables_map.values())
-
-        for item in all_second_step_variables:
-            if item.get("belong_to_node_id") == start_node_id or item.get("belong_to_node_id") == "shared":
-                variables.append(RagPipelineVariableEntity.model_validate(item))
-
-        return variables

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

@@ -154,7 +154,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
 
         if invoke_from == InvokeFrom.DEBUGGER:
             # always enable retriever resource in debugger mode
-            app_config.additional_features.show_retrieve_source = True  # type: ignore
+            app_config.additional_features.show_retrieve_source = True
 
         workflow_run_id = str(uuid.uuid4())
         # init application generate entity
@@ -450,12 +450,6 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
 
         worker_thread.start()
 
-        # release database connection, because the following new thread operations may take a long time
-        db.session.refresh(workflow)
-        db.session.refresh(message)
-        # db.session.refresh(user)
-        db.session.close()
-
         # return response or stream generator
         response = self._handle_advanced_chat_response(
             application_generate_entity=application_generate_entity,
@@ -467,7 +461,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             workflow_execution_repository=workflow_execution_repository,
             workflow_node_execution_repository=workflow_node_execution_repository,
             stream=stream,
-            draft_var_saver_factory=self._get_draft_var_saver_factory(invoke_from, account=user),
+            draft_var_saver_factory=self._get_draft_var_saver_factory(invoke_from),
         )
 
         return AdvancedChatAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from)

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

@@ -1,11 +1,11 @@
 import logging
-import time
 from collections.abc import Mapping
 from typing import Any, Optional, 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
@@ -23,17 +23,16 @@ from core.app.features.annotation_reply.annotation_reply import AnnotationReplyF
 from core.moderation.base import ModerationError
 from core.moderation.input_moderation import InputModeration
 from core.variables.variables import VariableUnion
-from core.workflow.entities import GraphRuntimeState, VariablePool
-from core.workflow.graph_engine.command_channels.redis_channel import RedisChannel
+from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
+from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
-from extensions.ext_redis import redis_client
 from models import Workflow
 from models.enums import UserFrom
 from models.model import App, Conversation, Message, MessageAnnotation
-from models.workflow import ConversationVariable
+from models.workflow import ConversationVariable, WorkflowType
 
 logger = logging.getLogger(__name__)
 
@@ -73,35 +72,27 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
         app_config = self.application_generate_entity.app_config
         app_config = cast(AdvancedChatAppConfig, app_config)
 
-        with Session(db.engine, expire_on_commit=False) as session:
-            app_record = session.scalar(select(App).where(App.id == app_config.app_id))
-
+        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
         if not app_record:
             raise ValueError("App not found")
 
+        workflow_callbacks: list[WorkflowCallback] = []
+        if dify_config.DEBUG:
+            workflow_callbacks.append(WorkflowLoggingCallback())
+
         if self.application_generate_entity.single_iteration_run:
             # if only single iteration run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_iteration_run.node_id,
                 user_inputs=dict(self.application_generate_entity.single_iteration_run.inputs),
-                graph_runtime_state=graph_runtime_state,
             )
         elif self.application_generate_entity.single_loop_run:
             # if only single loop run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_loop_run.node_id,
                 user_inputs=dict(self.application_generate_entity.single_loop_run.inputs),
-                graph_runtime_state=graph_runtime_state,
             )
         else:
             inputs = self.application_generate_entity.inputs
@@ -149,31 +140,20 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
                 environment_variables=self._workflow.environment_variables,
                 # Based on the definition of `VariableUnion`,
                 # `list[Variable]` can be safely used as `list[VariableUnion]` since they are compatible.
-                conversation_variables=conversation_variables,
+                conversation_variables=cast(list[VariableUnion], conversation_variables),
             )
 
             # init graph
-            graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.time())
-            graph = self._init_graph(
-                graph_config=self._workflow.graph_dict,
-                graph_runtime_state=graph_runtime_state,
-                workflow_id=self._workflow.id,
-                tenant_id=self._workflow.tenant_id,
-                user_id=self.application_generate_entity.user_id,
-            )
+            graph = self._init_graph(graph_config=self._workflow.graph_dict)
 
         db.session.close()
 
         # RUN WORKFLOW
-        # Create Redis command channel for this workflow execution
-        task_id = self.application_generate_entity.task_id
-        channel_key = f"workflow:{task_id}:commands"
-        command_channel = RedisChannel(redis_client, channel_key)
-
         workflow_entry = WorkflowEntry(
             tenant_id=self._workflow.tenant_id,
             app_id=self._workflow.app_id,
             workflow_id=self._workflow.id,
+            workflow_type=WorkflowType.value_of(self._workflow.type),
             graph=graph,
             graph_config=self._workflow.graph_dict,
             user_id=self.application_generate_entity.user_id,
@@ -184,11 +164,12 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
             ),
             invoke_from=self.application_generate_entity.invoke_from,
             call_depth=self.application_generate_entity.call_depth,
-            graph_runtime_state=graph_runtime_state,
-            command_channel=command_channel,
+            variable_pool=variable_pool,
         )
 
-        generator = workflow_entry.run()
+        generator = workflow_entry.run(
+            callbacks=workflow_callbacks,
+        )
 
         for event in generator:
             self._handle_event(workflow_entry, event)

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

@@ -118,7 +118,7 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 data = cls._error_to_stream_response(sub_stream_response.err)
                 response_chunk.update(data)
             elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
-                response_chunk.update(sub_stream_response.to_ignore_detail_dict())  # ty: ignore [unresolved-attribute]
+                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
             else:
                 response_chunk.update(sub_stream_response.to_dict())
 

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

@@ -31,9 +31,14 @@ from core.app.entities.queue_entities import (
     QueueMessageReplaceEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
     QueuePingEvent,
     QueueRetrieverResourcesEvent,
     QueueStopEvent,
@@ -60,14 +65,15 @@ from core.app.task_pipeline.message_cycle_manager import MessageCycleManager
 from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk
 from core.model_runtime.entities.llm_entities import LLMUsage
 from core.ops.ops_trace_manager import TraceQueueManager
-from core.workflow.entities import GraphRuntimeState
-from core.workflow.enums import WorkflowExecutionStatus, WorkflowType
+from core.workflow.entities.workflow_execution import WorkflowExecutionStatus, WorkflowType
+from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.nodes import NodeType
 from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
 from core.workflow.system_variable import SystemVariable
 from core.workflow.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager
+from events.message_event import message_was_created
 from extensions.ext_database import db
 from libs.datetime_utils import naive_utc_now
 from models import Conversation, EndUser, Message, MessageFile
@@ -305,8 +311,13 @@ class AdvancedChatAppGenerateTaskPipeline:
             err = self._base_task_pipeline._handle_error(event=event, session=session, message_id=self._message_id)
         yield self._base_task_pipeline._error_to_stream_response(err)
 
-    def _handle_workflow_started_event(self, *args, **kwargs) -> Generator[StreamResponse, None, None]:
+    def _handle_workflow_started_event(
+        self, event: QueueWorkflowStartedEvent, *, graph_runtime_state: Optional[GraphRuntimeState] = None, **kwargs
+    ) -> Generator[StreamResponse, None, None]:
         """Handle workflow started events."""
+        # Override graph runtime state - this is a side effect but necessary
+        graph_runtime_state = event.graph_runtime_state
+
         with self._database_session() as session:
             workflow_execution = self._workflow_cycle_manager.handle_workflow_run_start()
             self._workflow_run_id = workflow_execution.id_
@@ -327,14 +338,15 @@ class AdvancedChatAppGenerateTaskPipeline:
         """Handle node retry events."""
         self._ensure_workflow_initialized()
 
-        workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
-            workflow_execution_id=self._workflow_run_id, event=event
-        )
-        node_retry_resp = self._workflow_response_converter.workflow_node_retry_to_stream_response(
-            event=event,
-            task_id=self._application_generate_entity.task_id,
-            workflow_node_execution=workflow_node_execution,
-        )
+        with self._database_session() as session:
+            workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
+                workflow_execution_id=self._workflow_run_id, event=event
+            )
+            node_retry_resp = self._workflow_response_converter.workflow_node_retry_to_stream_response(
+                event=event,
+                task_id=self._application_generate_entity.task_id,
+                workflow_node_execution=workflow_node_execution,
+            )
 
         if node_retry_resp:
             yield node_retry_resp
@@ -368,12 +380,13 @@ class AdvancedChatAppGenerateTaskPipeline:
                 self._workflow_response_converter.fetch_files_from_node_outputs(event.outputs or {})
             )
 
-        workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_success(event=event)
-        node_finish_resp = self._workflow_response_converter.workflow_node_finish_to_stream_response(
-            event=event,
-            task_id=self._application_generate_entity.task_id,
-            workflow_node_execution=workflow_node_execution,
-        )
+        with self._database_session() as session:
+            workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_success(event=event)
+            node_finish_resp = self._workflow_response_converter.workflow_node_finish_to_stream_response(
+                event=event,
+                task_id=self._application_generate_entity.task_id,
+                workflow_node_execution=workflow_node_execution,
+            )
 
         self._save_output_for_event(event, workflow_node_execution.id)
 
@@ -382,7 +395,9 @@ class AdvancedChatAppGenerateTaskPipeline:
 
     def _handle_node_failed_events(
         self,
-        event: Union[QueueNodeFailedEvent, QueueNodeExceptionEvent],
+        event: Union[
+            QueueNodeFailedEvent, QueueNodeInIterationFailedEvent, QueueNodeInLoopFailedEvent, QueueNodeExceptionEvent
+        ],
         **kwargs,
     ) -> Generator[StreamResponse, None, None]:
         """Handle various node failure events."""
@@ -427,6 +442,32 @@ class AdvancedChatAppGenerateTaskPipeline:
             answer=delta_text, message_id=self._message_id, from_variable_selector=event.from_variable_selector
         )
 
+    def _handle_parallel_branch_started_event(
+        self, event: QueueParallelBranchRunStartedEvent, **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch started events."""
+        self._ensure_workflow_initialized()
+
+        parallel_start_resp = self._workflow_response_converter.workflow_parallel_branch_start_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_start_resp
+
+    def _handle_parallel_branch_finished_events(
+        self, event: Union[QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent], **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch finished events."""
+        self._ensure_workflow_initialized()
+
+        parallel_finish_resp = self._workflow_response_converter.workflow_parallel_branch_finished_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_finish_resp
+
     def _handle_iteration_start_event(
         self, event: QueueIterationStartEvent, **kwargs
     ) -> Generator[StreamResponse, None, None]:
@@ -718,6 +759,8 @@ class AdvancedChatAppGenerateTaskPipeline:
             QueueNodeRetryEvent: self._handle_node_retry_event,
             QueueNodeStartedEvent: self._handle_node_started_event,
             QueueNodeSucceededEvent: self._handle_node_succeeded_event,
+            # Parallel branch events
+            QueueParallelBranchRunStartedEvent: self._handle_parallel_branch_started_event,
             # Iteration events
             QueueIterationStartEvent: self._handle_iteration_start_event,
             QueueIterationNextEvent: self._handle_iteration_next_event,
@@ -765,6 +808,8 @@ class AdvancedChatAppGenerateTaskPipeline:
             event,
             (
                 QueueNodeFailedEvent,
+                QueueNodeInIterationFailedEvent,
+                QueueNodeInLoopFailedEvent,
                 QueueNodeExceptionEvent,
             ),
         ):
@@ -777,6 +822,17 @@ class AdvancedChatAppGenerateTaskPipeline:
             )
             return
 
+        # Handle parallel branch finished events with isinstance check
+        if isinstance(event, (QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent)):
+            yield from self._handle_parallel_branch_finished_events(
+                event,
+                graph_runtime_state=graph_runtime_state,
+                tts_publisher=tts_publisher,
+                trace_manager=trace_manager,
+                queue_message=queue_message,
+            )
+            return
+
         # For unhandled events, we continue (original behavior)
         return
 
@@ -800,6 +856,11 @@ class AdvancedChatAppGenerateTaskPipeline:
                     graph_runtime_state = event.graph_runtime_state
                     yield from self._handle_workflow_started_event(event)
 
+                case QueueTextChunkEvent():
+                    yield from self._handle_text_chunk_event(
+                        event, tts_publisher=tts_publisher, queue_message=queue_message
+                    )
+
                 case QueueErrorEvent():
                     yield from self._handle_error_event(event)
                     break
@@ -878,6 +939,10 @@ class AdvancedChatAppGenerateTaskPipeline:
             self._task_state.metadata.usage = usage
         else:
             self._task_state.metadata.usage = LLMUsage.empty_usage()
+        message_was_created.send(
+            message,
+            application_generate_entity=self._application_generate_entity,
+        )
 
     def _message_end_to_stream_response(self) -> MessageEndStreamResponse:
         """

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

@@ -1,8 +1,6 @@
 import logging
 from typing import cast
 
-from sqlalchemy import select
-
 from core.agent.cot_chat_agent_runner import CotChatAgentRunner
 from core.agent.cot_completion_agent_runner import CotCompletionAgentRunner
 from core.agent.entities import AgentEntity
@@ -46,8 +44,8 @@ class AgentChatAppRunner(AppRunner):
         """
         app_config = application_generate_entity.app_config
         app_config = cast(AgentChatAppConfig, app_config)
-        app_stmt = select(App).where(App.id == app_config.app_id)
-        app_record = db.session.scalar(app_stmt)
+
+        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
         if not app_record:
             raise ValueError("App not found")
 
@@ -184,12 +182,11 @@ class AgentChatAppRunner(AppRunner):
 
         if {ModelFeature.MULTI_TOOL_CALL, ModelFeature.TOOL_CALL}.intersection(model_schema.features or []):
             agent_entity.strategy = AgentEntity.Strategy.FUNCTION_CALLING
-        conversation_stmt = select(Conversation).where(Conversation.id == conversation.id)
-        conversation_result = db.session.scalar(conversation_stmt)
+
+        conversation_result = db.session.query(Conversation).where(Conversation.id == conversation.id).first()
         if conversation_result is None:
             raise ValueError("Conversation not found")
-        msg_stmt = select(Message).where(Message.id == message.id)
-        message_result = db.session.scalar(msg_stmt)
+        message_result = db.session.query(Message).where(Message.id == message.id).first()
         if message_result is None:
             raise ValueError("Message not found")
         db.session.close()

api/core/app/apps/base_app_generator.py

@@ -6,7 +6,7 @@ from sqlalchemy.orm import Session
 from core.app.app_config.entities import VariableEntityType
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.file import File, FileUploadConfig
-from core.workflow.enums import NodeType
+from core.workflow.nodes.enums import NodeType
 from core.workflow.repositories.draft_variable_repository import (
     DraftVariableSaver,
     DraftVariableSaverFactory,
@@ -14,7 +14,6 @@ from core.workflow.repositories.draft_variable_repository import (
 )
 from factories import file_factory
 from libs.orjson import orjson_dumps
-from models import Account, EndUser
 from services.workflow_draft_variable_service import DraftVariableSaver as DraftVariableSaverImpl
 
 if TYPE_CHECKING:
@@ -183,9 +182,8 @@ class BaseAppGenerator:
 
     @final
     @staticmethod
-    def _get_draft_var_saver_factory(invoke_from: InvokeFrom, account: Account | EndUser) -> DraftVariableSaverFactory:
+    def _get_draft_var_saver_factory(invoke_from: InvokeFrom) -> DraftVariableSaverFactory:
         if invoke_from == InvokeFrom.DEBUGGER:
-            assert isinstance(account, Account)
 
             def draft_var_saver_factory(
                 session: Session,
@@ -202,7 +200,6 @@ class BaseAppGenerator:
                     node_type=node_type,
                     node_execution_id=node_execution_id,
                     enclosing_node_id=enclosing_node_id,
-                    user=account,
                 )
         else:
 

api/core/app/apps/base_app_queue_manager.py

@@ -1,7 +1,7 @@
 import queue
 import time
 from abc import abstractmethod
-from enum import IntEnum, auto
+from enum import Enum
 from typing import Any, Optional
 
 from sqlalchemy.orm import DeclarativeMeta
@@ -19,9 +19,9 @@ from core.app.entities.queue_entities import (
 from extensions.ext_redis import redis_client
 
 
-class PublishFrom(IntEnum):
-    APPLICATION_MANAGER = auto()
-    TASK_PIPELINE = auto()
+class PublishFrom(Enum):
+    APPLICATION_MANAGER = 1
+    TASK_PIPELINE = 2
 
 
 class AppQueueManager:
@@ -126,21 +126,6 @@ class AppQueueManager:
         stopped_cache_key = cls._generate_stopped_cache_key(task_id)
         redis_client.setex(stopped_cache_key, 600, 1)
 
-    @classmethod
-    def set_stop_flag_no_user_check(cls, task_id: str) -> None:
-        """
-        Set task stop flag without user permission check.
-        This method allows stopping workflows without user context.
-
-        :param task_id: The task ID to stop
-        :return:
-        """
-        if not task_id:
-            return
-
-        stopped_cache_key = cls._generate_stopped_cache_key(task_id)
-        redis_client.setex(stopped_cache_key, 600, 1)
-
     def _is_stopped(self) -> bool:
         """
         Check if task is stopped
@@ -174,7 +159,7 @@ class AppQueueManager:
     def _check_for_sqlalchemy_models(self, data: Any):
         # from entity to dict or list
         if isinstance(data, dict):
-            for value in data.values():
+            for key, value in data.items():
                 self._check_for_sqlalchemy_models(value)
         elif isinstance(data, list):
             for item in data:

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

@@ -1,8 +1,6 @@
 import logging
 from typing import cast
 
-from sqlalchemy import select
-
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.apps.base_app_runner import AppRunner
 from core.app.apps.chat.app_config_manager import ChatAppConfig
@@ -44,8 +42,8 @@ class ChatAppRunner(AppRunner):
         """
         app_config = application_generate_entity.app_config
         app_config = cast(ChatAppConfig, app_config)
-        stmt = select(App).where(App.id == app_config.app_id)
-        app_record = db.session.scalar(stmt)
+
+        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
         if not app_record:
             raise ValueError("App not found")
 
@@ -164,9 +162,7 @@ class ChatAppRunner(AppRunner):
                 config=app_config.dataset,
                 query=query,
                 invoke_from=application_generate_entity.invoke_from,
-                show_retrieve_source=(
-                    app_config.additional_features.show_retrieve_source if app_config.additional_features else False
-                ),
+                show_retrieve_source=app_config.additional_features.show_retrieve_source,
                 hit_callback=hit_callback,
                 memory=memory,
                 message_id=message.id,

api/core/app/apps/common/workflow_response_converter.py

@@ -1,7 +1,7 @@
 import time
 from collections.abc import Mapping, Sequence
 from datetime import UTC, datetime
-from typing import Any, Optional, Union
+from typing import Any, Optional, Union, cast
 
 from sqlalchemy.orm import Session
 
@@ -16,9 +16,14 @@ from core.app.entities.queue_entities import (
     QueueLoopStartEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
 )
 from core.app.entities.task_entities import (
     AgentLogStreamResponse,
@@ -31,23 +36,24 @@ from core.app.entities.task_entities import (
     NodeFinishStreamResponse,
     NodeRetryStreamResponse,
     NodeStartStreamResponse,
+    ParallelBranchFinishedStreamResponse,
+    ParallelBranchStartStreamResponse,
     WorkflowFinishStreamResponse,
     WorkflowStartStreamResponse,
 )
 from core.file import FILE_MODEL_IDENTITY, File
-from core.plugin.impl.datasource import PluginDatasourceManager
-from core.tools.entities.tool_entities import ToolProviderType
 from core.tools.tool_manager import ToolManager
 from core.variables.segments import ArrayFileSegment, FileSegment, Segment
-from core.workflow.entities import WorkflowExecution, WorkflowNodeExecution
-from core.workflow.enums import NodeType, WorkflowNodeExecutionStatus
+from core.workflow.entities.workflow_execution import WorkflowExecution
+from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus
+from core.workflow.nodes import NodeType
+from core.workflow.nodes.tool.entities import ToolNodeData
 from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter
 from libs.datetime_utils import naive_utc_now
 from models import (
     Account,
     EndUser,
 )
-from services.variable_truncator import VariableTruncator
 
 
 class WorkflowResponseConverter:
@@ -59,7 +65,6 @@ class WorkflowResponseConverter:
     ) -> None:
         self._application_generate_entity = application_generate_entity
         self._user = user
-        self._truncator = VariableTruncator.default()
 
     def workflow_start_to_stream_response(
         self,
@@ -151,8 +156,7 @@ class WorkflowResponseConverter:
                 title=workflow_node_execution.title,
                 index=workflow_node_execution.index,
                 predecessor_node_id=workflow_node_execution.predecessor_node_id,
-                inputs=workflow_node_execution.get_response_inputs(),
-                inputs_truncated=workflow_node_execution.inputs_truncated,
+                inputs=workflow_node_execution.inputs,
                 created_at=int(workflow_node_execution.created_at.timestamp()),
                 parallel_id=event.parallel_id,
                 parallel_start_node_id=event.parallel_start_node_id,
@@ -167,19 +171,11 @@ class WorkflowResponseConverter:
 
         # extras logic
         if event.node_type == NodeType.TOOL:
+            node_data = cast(ToolNodeData, event.node_data)
             response.data.extras["icon"] = ToolManager.get_tool_icon(
                 tenant_id=self._application_generate_entity.app_config.tenant_id,
-                provider_type=ToolProviderType(event.provider_type),
-                provider_id=event.provider_id,
-            )
-        elif event.node_type == NodeType.DATASOURCE:
-            manager = PluginDatasourceManager()
-            provider_entity = manager.fetch_datasource_provider(
-                self._application_generate_entity.app_config.tenant_id,
-                event.provider_id,
-            )
-            response.data.extras["icon"] = provider_entity.declaration.identity.generate_datasource_icon_url(
-                self._application_generate_entity.app_config.tenant_id
+                provider_type=node_data.provider_type,
+                provider_id=node_data.provider_id,
             )
 
         return response
@@ -187,7 +183,11 @@ class WorkflowResponseConverter:
     def workflow_node_finish_to_stream_response(
         self,
         *,
-        event: QueueNodeSucceededEvent | QueueNodeFailedEvent | QueueNodeExceptionEvent,
+        event: QueueNodeSucceededEvent
+        | QueueNodeFailedEvent
+        | QueueNodeInIterationFailedEvent
+        | QueueNodeInLoopFailedEvent
+        | QueueNodeExceptionEvent,
         task_id: str,
         workflow_node_execution: WorkflowNodeExecution,
     ) -> Optional[NodeFinishStreamResponse]:
@@ -210,12 +210,9 @@ class WorkflowResponseConverter:
                 index=workflow_node_execution.index,
                 title=workflow_node_execution.title,
                 predecessor_node_id=workflow_node_execution.predecessor_node_id,
-                inputs=workflow_node_execution.get_response_inputs(),
-                inputs_truncated=workflow_node_execution.inputs_truncated,
-                process_data=workflow_node_execution.get_response_process_data(),
-                process_data_truncated=workflow_node_execution.process_data_truncated,
-                outputs=json_converter.to_json_encodable(workflow_node_execution.get_response_outputs()),
-                outputs_truncated=workflow_node_execution.outputs_truncated,
+                inputs=workflow_node_execution.inputs,
+                process_data=workflow_node_execution.process_data,
+                outputs=json_converter.to_json_encodable(workflow_node_execution.outputs),
                 status=workflow_node_execution.status,
                 error=workflow_node_execution.error,
                 elapsed_time=workflow_node_execution.elapsed_time,
@@ -224,6 +221,9 @@ class WorkflowResponseConverter:
                 finished_at=int(workflow_node_execution.finished_at.timestamp()),
                 files=self.fetch_files_from_node_outputs(workflow_node_execution.outputs or {}),
                 parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
+                parent_parallel_id=event.parent_parallel_id,
+                parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                 iteration_id=event.in_iteration_id,
                 loop_id=event.in_loop_id,
             ),
@@ -255,12 +255,9 @@ class WorkflowResponseConverter:
                 index=workflow_node_execution.index,
                 title=workflow_node_execution.title,
                 predecessor_node_id=workflow_node_execution.predecessor_node_id,
-                inputs=workflow_node_execution.get_response_inputs(),
-                inputs_truncated=workflow_node_execution.inputs_truncated,
-                process_data=workflow_node_execution.get_response_process_data(),
-                process_data_truncated=workflow_node_execution.process_data_truncated,
-                outputs=json_converter.to_json_encodable(workflow_node_execution.get_response_outputs()),
-                outputs_truncated=workflow_node_execution.outputs_truncated,
+                inputs=workflow_node_execution.inputs,
+                process_data=workflow_node_execution.process_data,
+                outputs=json_converter.to_json_encodable(workflow_node_execution.outputs),
                 status=workflow_node_execution.status,
                 error=workflow_node_execution.error,
                 elapsed_time=workflow_node_execution.elapsed_time,
@@ -278,6 +275,50 @@ class WorkflowResponseConverter:
             ),
         )
 
+    def workflow_parallel_branch_start_to_stream_response(
+        self,
+        *,
+        task_id: str,
+        workflow_execution_id: str,
+        event: QueueParallelBranchRunStartedEvent,
+    ) -> ParallelBranchStartStreamResponse:
+        return ParallelBranchStartStreamResponse(
+            task_id=task_id,
+            workflow_run_id=workflow_execution_id,
+            data=ParallelBranchStartStreamResponse.Data(
+                parallel_id=event.parallel_id,
+                parallel_branch_id=event.parallel_start_node_id,
+                parent_parallel_id=event.parent_parallel_id,
+                parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                iteration_id=event.in_iteration_id,
+                loop_id=event.in_loop_id,
+                created_at=int(time.time()),
+            ),
+        )
+
+    def workflow_parallel_branch_finished_to_stream_response(
+        self,
+        *,
+        task_id: str,
+        workflow_execution_id: str,
+        event: QueueParallelBranchRunSucceededEvent | QueueParallelBranchRunFailedEvent,
+    ) -> ParallelBranchFinishedStreamResponse:
+        return ParallelBranchFinishedStreamResponse(
+            task_id=task_id,
+            workflow_run_id=workflow_execution_id,
+            data=ParallelBranchFinishedStreamResponse.Data(
+                parallel_id=event.parallel_id,
+                parallel_branch_id=event.parallel_start_node_id,
+                parent_parallel_id=event.parent_parallel_id,
+                parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                iteration_id=event.in_iteration_id,
+                loop_id=event.in_loop_id,
+                status="succeeded" if isinstance(event, QueueParallelBranchRunSucceededEvent) else "failed",
+                error=event.error if isinstance(event, QueueParallelBranchRunFailedEvent) else None,
+                created_at=int(time.time()),
+            ),
+        )
+
     def workflow_iteration_start_to_stream_response(
         self,
         *,
@@ -285,7 +326,6 @@ class WorkflowResponseConverter:
         workflow_execution_id: str,
         event: QueueIterationStartEvent,
     ) -> IterationNodeStartStreamResponse:
-        new_inputs, truncated = self._truncator.truncate_variable_mapping(event.inputs or {})
         return IterationNodeStartStreamResponse(
             task_id=task_id,
             workflow_run_id=workflow_execution_id,
@@ -293,12 +333,13 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 created_at=int(time.time()),
                 extras={},
-                inputs=new_inputs,
-                inputs_truncated=truncated,
+                inputs=event.inputs or {},
                 metadata=event.metadata or {},
+                parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
             ),
         )
 
@@ -316,10 +357,15 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 index=event.index,
+                pre_iteration_output=event.output,
                 created_at=int(time.time()),
                 extras={},
+                parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
+                parallel_mode_run_id=event.parallel_mode_run_id,
+                duration=event.duration,
             ),
         )
 
@@ -331,11 +377,6 @@ class WorkflowResponseConverter:
         event: QueueIterationCompletedEvent,
     ) -> IterationNodeCompletedStreamResponse:
         json_converter = WorkflowRuntimeTypeConverter()
-
-        new_inputs, inputs_truncated = self._truncator.truncate_variable_mapping(event.inputs or {})
-        new_outputs, outputs_truncated = self._truncator.truncate_variable_mapping(
-            json_converter.to_json_encodable(event.outputs) or {}
-        )
         return IterationNodeCompletedStreamResponse(
             task_id=task_id,
             workflow_run_id=workflow_execution_id,
@@ -343,13 +384,11 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
-                outputs=new_outputs,
-                outputs_truncated=outputs_truncated,
+                title=event.node_data.title,
+                outputs=json_converter.to_json_encodable(event.outputs),
                 created_at=int(time.time()),
                 extras={},
-                inputs=new_inputs,
-                inputs_truncated=inputs_truncated,
+                inputs=event.inputs or {},
                 status=WorkflowNodeExecutionStatus.SUCCEEDED
                 if event.error is None
                 else WorkflowNodeExecutionStatus.FAILED,
@@ -359,13 +398,14 @@ class WorkflowResponseConverter:
                 execution_metadata=event.metadata,
                 finished_at=int(time.time()),
                 steps=event.steps,
+                parallel_id=event.parallel_id,
+                parallel_start_node_id=event.parallel_start_node_id,
             ),
         )
 
     def workflow_loop_start_to_stream_response(
         self, *, task_id: str, workflow_execution_id: str, event: QueueLoopStartEvent
     ) -> LoopNodeStartStreamResponse:
-        new_inputs, truncated = self._truncator.truncate_variable_mapping(event.inputs or {})
         return LoopNodeStartStreamResponse(
             task_id=task_id,
             workflow_run_id=workflow_execution_id,
@@ -373,11 +413,10 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 created_at=int(time.time()),
                 extras={},
-                inputs=new_inputs,
-                inputs_truncated=truncated,
+                inputs=event.inputs or {},
                 metadata=event.metadata or {},
                 parallel_id=event.parallel_id,
                 parallel_start_node_id=event.parallel_start_node_id,
@@ -398,16 +437,15 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
+                title=event.node_data.title,
                 index=event.index,
-                # The `pre_loop_output` field is not utilized by the frontend.
-                # Previously, it was assigned the value of `event.output`.
-                pre_loop_output={},
+                pre_loop_output=event.output,
                 created_at=int(time.time()),
                 extras={},
                 parallel_id=event.parallel_id,
                 parallel_start_node_id=event.parallel_start_node_id,
                 parallel_mode_run_id=event.parallel_mode_run_id,
+                duration=event.duration,
             ),
         )
 
@@ -418,11 +456,6 @@ class WorkflowResponseConverter:
         workflow_execution_id: str,
         event: QueueLoopCompletedEvent,
     ) -> LoopNodeCompletedStreamResponse:
-        json_converter = WorkflowRuntimeTypeConverter()
-        new_inputs, inputs_truncated = self._truncator.truncate_variable_mapping(event.inputs or {})
-        new_outputs, outputs_truncated = self._truncator.truncate_variable_mapping(
-            json_converter.to_json_encodable(event.outputs) or {}
-        )
         return LoopNodeCompletedStreamResponse(
             task_id=task_id,
             workflow_run_id=workflow_execution_id,
@@ -430,13 +463,11 @@ class WorkflowResponseConverter:
                 id=event.node_id,
                 node_id=event.node_id,
                 node_type=event.node_type.value,
-                title=event.node_title,
-                outputs=new_outputs,
-                outputs_truncated=outputs_truncated,
+                title=event.node_data.title,
+                outputs=WorkflowRuntimeTypeConverter().to_json_encodable(event.outputs),
                 created_at=int(time.time()),
                 extras={},
-                inputs=new_inputs,
-                inputs_truncated=inputs_truncated,
+                inputs=event.inputs or {},
                 status=WorkflowNodeExecutionStatus.SUCCEEDED
                 if event.error is None
                 else WorkflowNodeExecutionStatus.FAILED,

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

@@ -6,7 +6,6 @@ from typing import Any, Literal, Union, overload
 
 from flask import Flask, copy_current_request_context, current_app
 from pydantic import ValidationError
-from sqlalchemy import select
 
 from configs import dify_config
 from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter
@@ -249,14 +248,17 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         :param invoke_from: invoke from source
         :param stream: is stream
         """
-        stmt = select(Message).where(
-            Message.id == message_id,
-            Message.app_id == app_model.id,
-            Message.from_source == ("api" if isinstance(user, EndUser) else "console"),
-            Message.from_end_user_id == (user.id if isinstance(user, EndUser) else None),
-            Message.from_account_id == (user.id if isinstance(user, Account) else None),
+        message = (
+            db.session.query(Message)
+            .where(
+                Message.id == message_id,
+                Message.app_id == app_model.id,
+                Message.from_source == ("api" if isinstance(user, EndUser) else "console"),
+                Message.from_end_user_id == (user.id if isinstance(user, EndUser) else None),
+                Message.from_account_id == (user.id if isinstance(user, Account) else None),
+            )
+            .first()
         )
-        message = db.session.scalar(stmt)
 
         if not message:
             raise MessageNotExistsError()

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

@@ -1,8 +1,6 @@
 import logging
 from typing import cast
 
-from sqlalchemy import select
-
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.apps.base_app_runner import AppRunner
 from core.app.apps.completion.app_config_manager import CompletionAppConfig
@@ -37,8 +35,8 @@ class CompletionAppRunner(AppRunner):
         """
         app_config = application_generate_entity.app_config
         app_config = cast(CompletionAppConfig, app_config)
-        stmt = select(App).where(App.id == app_config.app_id)
-        app_record = db.session.scalar(stmt)
+
+        app_record = db.session.query(App).where(App.id == app_config.app_id).first()
         if not app_record:
             raise ValueError("App not found")
 

api/core/app/apps/message_based_app_generator.py

@@ -3,9 +3,6 @@ import logging
 from collections.abc import Generator
 from typing import Optional, Union, cast
 
-from sqlalchemy import select
-from sqlalchemy.orm import Session
-
 from core.app.app_config.entities import EasyUIBasedAppConfig, EasyUIBasedAppModelConfigFrom
 from core.app.apps.base_app_generator import BaseAppGenerator
 from core.app.apps.base_app_queue_manager import AppQueueManager
@@ -86,10 +83,11 @@ class MessageBasedAppGenerator(BaseAppGenerator):
 
     def _get_app_model_config(self, app_model: App, conversation: Optional[Conversation] = None) -> AppModelConfig:
         if conversation:
-            stmt = select(AppModelConfig).where(
-                AppModelConfig.id == conversation.app_model_config_id, AppModelConfig.app_id == app_model.id
+            app_model_config = (
+                db.session.query(AppModelConfig)
+                .where(AppModelConfig.id == conversation.app_model_config_id, AppModelConfig.app_id == app_model.id)
+                .first()
             )
-            app_model_config = db.session.scalar(stmt)
 
             if not app_model_config:
                 raise AppModelConfigBrokenError()
@@ -255,8 +253,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
         :param conversation_id: conversation id
         :return: conversation
         """
-        with Session(db.engine, expire_on_commit=False) as session:
-            conversation = session.scalar(select(Conversation).where(Conversation.id == conversation_id))
+        conversation = db.session.query(Conversation).where(Conversation.id == conversation_id).first()
 
         if not conversation:
             raise ConversationNotExistsError("Conversation not exists")
@@ -269,8 +266,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
         :param message_id: message id
         :return: message
         """
-        with Session(db.engine, expire_on_commit=False) as session:
-            message = session.scalar(select(Message).where(Message.id == message_id))
+        message = db.session.query(Message).where(Message.id == message_id).first()
 
         if message is None:
             raise MessageNotExistsError("Message not exists")

api/core/app/apps/pipeline/generate_response_converter.py

@@ -1,95 +0,0 @@
-from collections.abc import Generator
-from typing import cast
-
-from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
-from core.app.entities.task_entities import (
-    AppStreamResponse,
-    ErrorStreamResponse,
-    NodeFinishStreamResponse,
-    NodeStartStreamResponse,
-    PingStreamResponse,
-    WorkflowAppBlockingResponse,
-    WorkflowAppStreamResponse,
-)
-
-
-class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
-    _blocking_response_type = WorkflowAppBlockingResponse
-
-    @classmethod
-    def convert_blocking_full_response(cls, blocking_response: WorkflowAppBlockingResponse) -> dict:  # type: ignore[override]
-        """
-        Convert blocking full response.
-        :param blocking_response: blocking response
-        :return:
-        """
-        return dict(blocking_response.to_dict())
-
-    @classmethod
-    def convert_blocking_simple_response(cls, blocking_response: WorkflowAppBlockingResponse) -> dict:  # type: ignore[override]
-        """
-        Convert blocking simple response.
-        :param blocking_response: blocking response
-        :return:
-        """
-        return cls.convert_blocking_full_response(blocking_response)
-
-    @classmethod
-    def convert_stream_full_response(
-        cls, stream_response: Generator[AppStreamResponse, None, None]
-    ) -> Generator[dict | str, None, None]:
-        """
-        Convert stream full response.
-        :param stream_response: stream response
-        :return:
-        """
-        for chunk in stream_response:
-            chunk = cast(WorkflowAppStreamResponse, chunk)
-            sub_stream_response = chunk.stream_response
-
-            if isinstance(sub_stream_response, PingStreamResponse):
-                yield "ping"
-                continue
-
-            response_chunk = {
-                "event": sub_stream_response.event.value,
-                "workflow_run_id": chunk.workflow_run_id,
-            }
-
-            if isinstance(sub_stream_response, ErrorStreamResponse):
-                data = cls._error_to_stream_response(sub_stream_response.err)
-                response_chunk.update(data)
-            else:
-                response_chunk.update(sub_stream_response.to_dict())
-            yield response_chunk
-
-    @classmethod
-    def convert_stream_simple_response(
-        cls, stream_response: Generator[AppStreamResponse, None, None]
-    ) -> Generator[dict | str, None, None]:
-        """
-        Convert stream simple response.
-        :param stream_response: stream response
-        :return:
-        """
-        for chunk in stream_response:
-            chunk = cast(WorkflowAppStreamResponse, chunk)
-            sub_stream_response = chunk.stream_response
-
-            if isinstance(sub_stream_response, PingStreamResponse):
-                yield "ping"
-                continue
-
-            response_chunk = {
-                "event": sub_stream_response.event.value,
-                "workflow_run_id": chunk.workflow_run_id,
-            }
-
-            if isinstance(sub_stream_response, ErrorStreamResponse):
-                data = cls._error_to_stream_response(sub_stream_response.err)
-                response_chunk.update(data)
-            elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
-                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
-            else:
-                response_chunk.update(sub_stream_response.to_dict())
-            yield response_chunk

api/core/app/apps/pipeline/pipeline_config_manager.py

@@ -1,66 +0,0 @@
-from core.app.app_config.base_app_config_manager import BaseAppConfigManager
-from core.app.app_config.common.sensitive_word_avoidance.manager import SensitiveWordAvoidanceConfigManager
-from core.app.app_config.entities import RagPipelineVariableEntity, WorkflowUIBasedAppConfig
-from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
-from core.app.app_config.features.text_to_speech.manager import TextToSpeechConfigManager
-from core.app.app_config.workflow_ui_based_app.variables.manager import WorkflowVariablesConfigManager
-from models.dataset import Pipeline
-from models.model import AppMode
-from models.workflow import Workflow
-
-
-class PipelineConfig(WorkflowUIBasedAppConfig):
-    """
-    Pipeline Config Entity.
-    """
-
-    rag_pipeline_variables: list[RagPipelineVariableEntity] = []
-    pass
-
-
-class PipelineConfigManager(BaseAppConfigManager):
-    @classmethod
-    def get_pipeline_config(cls, pipeline: Pipeline, workflow: Workflow, start_node_id: str) -> PipelineConfig:
-        pipeline_config = PipelineConfig(
-            tenant_id=pipeline.tenant_id,
-            app_id=pipeline.id,
-            app_mode=AppMode.RAG_PIPELINE,
-            workflow_id=workflow.id,
-            rag_pipeline_variables=WorkflowVariablesConfigManager.convert_rag_pipeline_variable(
-                workflow=workflow, start_node_id=start_node_id
-            ),
-        )
-
-        return pipeline_config
-
-    @classmethod
-    def config_validate(cls, tenant_id: str, config: dict, only_structure_validate: bool = False) -> dict:
-        """
-        Validate for pipeline config
-
-        :param tenant_id: tenant id
-        :param config: app model config args
-        :param only_structure_validate: only validate the structure of the config
-        """
-        related_config_keys = []
-
-        # file upload validation
-        config, current_related_config_keys = FileUploadConfigManager.validate_and_set_defaults(config=config)
-        related_config_keys.extend(current_related_config_keys)
-
-        # text_to_speech
-        config, current_related_config_keys = TextToSpeechConfigManager.validate_and_set_defaults(config)
-        related_config_keys.extend(current_related_config_keys)
-
-        # moderation validation
-        config, current_related_config_keys = SensitiveWordAvoidanceConfigManager.validate_and_set_defaults(
-            tenant_id=tenant_id, config=config, only_structure_validate=only_structure_validate
-        )
-        related_config_keys.extend(current_related_config_keys)
-
-        related_config_keys = list(set(related_config_keys))
-
-        # Filter out extra parameters
-        filtered_config = {key: config.get(key) for key in related_config_keys}
-
-        return filtered_config

api/core/app/apps/pipeline/pipeline_generator.py

@@ -1,808 +0,0 @@
-import contextvars
-import datetime
-import json
-import logging
-import secrets
-import threading
-import time
-import uuid
-from collections.abc import Generator, Mapping
-from typing import Any, Literal, Optional, Union, cast, overload
-
-from flask import Flask, current_app
-from pydantic import ValidationError
-from sqlalchemy import select
-from sqlalchemy.orm import Session, sessionmaker
-
-import contexts
-from configs import dify_config
-from core.app.apps.base_app_generator import BaseAppGenerator
-from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
-from core.app.apps.exc import GenerateTaskStoppedError
-from core.app.apps.pipeline.pipeline_config_manager import PipelineConfigManager
-from core.app.apps.pipeline.pipeline_queue_manager import PipelineQueueManager
-from core.app.apps.pipeline.pipeline_runner import PipelineRunner
-from core.app.apps.workflow.generate_response_converter import WorkflowAppGenerateResponseConverter
-from core.app.apps.workflow.generate_task_pipeline import WorkflowAppGenerateTaskPipeline
-from core.app.entities.app_invoke_entities import InvokeFrom, RagPipelineGenerateEntity
-from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
-from core.datasource.entities.datasource_entities import (
-    DatasourceProviderType,
-    OnlineDriveBrowseFilesRequest,
-)
-from core.datasource.online_drive.online_drive_plugin import OnlineDriveDatasourcePlugin
-from core.entities.knowledge_entities import PipelineDataset, PipelineDocument
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
-from core.rag.index_processor.constant.built_in_field import BuiltInField
-from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
-from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
-from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
-from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
-from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
-from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader
-from extensions.ext_database import db
-from libs.flask_utils import preserve_flask_contexts
-from models import Account, EndUser, Workflow, WorkflowNodeExecutionTriggeredFrom
-from models.dataset import Document, DocumentPipelineExecutionLog, Pipeline
-from models.enums import WorkflowRunTriggeredFrom
-from models.model import AppMode
-from services.dataset_service import DocumentService
-from services.datasource_provider_service import DatasourceProviderService
-from services.workflow_draft_variable_service import DraftVarLoader, WorkflowDraftVariableService
-from tasks.rag_pipeline.rag_pipeline_run_task import rag_pipeline_run_task
-
-logger = logging.getLogger(__name__)
-
-
-class PipelineGenerator(BaseAppGenerator):
-    @overload
-    def generate(
-        self,
-        *,
-        pipeline: Pipeline,
-        workflow: Workflow,
-        user: Union[Account, EndUser],
-        args: Mapping[str, Any],
-        invoke_from: InvokeFrom,
-        streaming: Literal[True],
-        call_depth: int,
-        workflow_thread_pool_id: Optional[str],
-    ) -> Mapping[str, Any] | Generator[Mapping | str, None, None] | None: ...
-
-    @overload
-    def generate(
-        self,
-        *,
-        pipeline: Pipeline,
-        workflow: Workflow,
-        user: Union[Account, EndUser],
-        args: Mapping[str, Any],
-        invoke_from: InvokeFrom,
-        streaming: Literal[False],
-        call_depth: int,
-        workflow_thread_pool_id: Optional[str],
-    ) -> Mapping[str, Any]: ...
-
-    @overload
-    def generate(
-        self,
-        *,
-        pipeline: Pipeline,
-        workflow: Workflow,
-        user: Union[Account, EndUser],
-        args: Mapping[str, Any],
-        invoke_from: InvokeFrom,
-        streaming: bool,
-        call_depth: int,
-        workflow_thread_pool_id: Optional[str],
-    ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: ...
-
-    def generate(
-        self,
-        *,
-        pipeline: Pipeline,
-        workflow: Workflow,
-        user: Union[Account, EndUser],
-        args: Mapping[str, Any],
-        invoke_from: InvokeFrom,
-        streaming: bool = True,
-        call_depth: int = 0,
-        workflow_thread_pool_id: Optional[str] = None,
-    ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None], None]:
-        # Add null check for dataset
-
-        with Session(db.engine) as session:
-            dataset = pipeline.retrieve_dataset(session)
-            if not dataset:
-                raise ValueError("Pipeline dataset is required")
-        inputs: Mapping[str, Any] = args["inputs"]
-        start_node_id: str = args["start_node_id"]
-        datasource_type: str = args["datasource_type"]
-        datasource_info_list: list[Mapping[str, Any]] = self._format_datasource_info_list(
-            datasource_type, args["datasource_info_list"], pipeline, workflow, start_node_id, user
-        )
-        batch = time.strftime("%Y%m%d%H%M%S") + str(secrets.randbelow(900000) + 100000)
-        # convert to app config
-        pipeline_config = PipelineConfigManager.get_pipeline_config(
-            pipeline=pipeline, workflow=workflow, start_node_id=start_node_id
-        )
-        documents = []
-        if invoke_from == InvokeFrom.PUBLISHED:
-            for datasource_info in datasource_info_list:
-                position = DocumentService.get_documents_position(dataset.id)
-                document = self._build_document(
-                    tenant_id=pipeline.tenant_id,
-                    dataset_id=dataset.id,
-                    built_in_field_enabled=dataset.built_in_field_enabled,
-                    datasource_type=datasource_type,
-                    datasource_info=datasource_info,
-                    created_from="rag-pipeline",
-                    position=position,
-                    account=user,
-                    batch=batch,
-                    document_form=dataset.chunk_structure,
-                )
-                db.session.add(document)
-                documents.append(document)
-            db.session.commit()
-
-        # run in child thread
-        for i, datasource_info in enumerate(datasource_info_list):
-            workflow_run_id = str(uuid.uuid4())
-            document_id = None
-            if invoke_from == InvokeFrom.PUBLISHED:
-                document_id = documents[i].id
-                document_pipeline_execution_log = DocumentPipelineExecutionLog(
-                    document_id=document_id,
-                    datasource_type=datasource_type,
-                    datasource_info=json.dumps(datasource_info),
-                    datasource_node_id=start_node_id,
-                    input_data=inputs,
-                    pipeline_id=pipeline.id,
-                    created_by=user.id,
-                )
-                db.session.add(document_pipeline_execution_log)
-                db.session.commit()
-            application_generate_entity = RagPipelineGenerateEntity(
-                task_id=str(uuid.uuid4()),
-                app_config=pipeline_config,
-                pipeline_config=pipeline_config,
-                datasource_type=datasource_type,
-                datasource_info=datasource_info,
-                dataset_id=dataset.id,
-                start_node_id=start_node_id,
-                batch=batch,
-                document_id=document_id,
-                inputs=self._prepare_user_inputs(
-                    user_inputs=inputs,
-                    variables=pipeline_config.rag_pipeline_variables,
-                    tenant_id=pipeline.tenant_id,
-                    strict_type_validation=True if invoke_from == InvokeFrom.SERVICE_API else False,
-                ),
-                files=[],
-                user_id=user.id,
-                stream=streaming,
-                invoke_from=invoke_from,
-                call_depth=call_depth,
-                workflow_execution_id=workflow_run_id,
-            )
-
-            contexts.plugin_tool_providers.set({})
-            contexts.plugin_tool_providers_lock.set(threading.Lock())
-            if invoke_from == InvokeFrom.DEBUGGER:
-                workflow_triggered_from = WorkflowRunTriggeredFrom.RAG_PIPELINE_DEBUGGING
-            else:
-                workflow_triggered_from = WorkflowRunTriggeredFrom.RAG_PIPELINE_RUN
-            # Create workflow node execution repository
-            session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
-            workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
-                session_factory=session_factory,
-                user=user,
-                app_id=application_generate_entity.app_config.app_id,
-                triggered_from=workflow_triggered_from,
-            )
-
-            workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
-                session_factory=session_factory,
-                user=user,
-                app_id=application_generate_entity.app_config.app_id,
-                triggered_from=WorkflowNodeExecutionTriggeredFrom.RAG_PIPELINE_RUN,
-            )
-            if invoke_from == InvokeFrom.DEBUGGER:
-                return self._generate(
-                    flask_app=current_app._get_current_object(),  # type: ignore
-                    context=contextvars.copy_context(),
-                    pipeline=pipeline,
-                    workflow_id=workflow.id,
-                    user=user,
-                    application_generate_entity=application_generate_entity,
-                    invoke_from=invoke_from,
-                    workflow_execution_repository=workflow_execution_repository,
-                    workflow_node_execution_repository=workflow_node_execution_repository,
-                    streaming=streaming,
-                    workflow_thread_pool_id=workflow_thread_pool_id,
-                )
-            else:
-                rag_pipeline_run_task.delay(  # type: ignore
-                    pipeline_id=pipeline.id,
-                    user_id=user.id,
-                    tenant_id=pipeline.tenant_id,
-                    workflow_id=workflow.id,
-                    streaming=streaming,
-                    workflow_execution_id=workflow_run_id,
-                    workflow_thread_pool_id=workflow_thread_pool_id,
-                    application_generate_entity=application_generate_entity.model_dump(),
-                )
-        # return batch, dataset, documents
-        return {
-            "batch": batch,
-            "dataset": PipelineDataset(
-                id=dataset.id,
-                name=dataset.name,
-                description=dataset.description,
-                chunk_structure=dataset.chunk_structure,
-            ).model_dump(),
-            "documents": [
-                PipelineDocument(
-                    id=document.id,
-                    position=document.position,
-                    data_source_type=document.data_source_type,
-                    data_source_info=json.loads(document.data_source_info) if document.data_source_info else None,
-                    name=document.name,
-                    indexing_status=document.indexing_status,
-                    error=document.error,
-                    enabled=document.enabled,
-                ).model_dump()
-                for document in documents
-            ],
-        }
-
-    def _generate(
-        self,
-        *,
-        flask_app: Flask,
-        context: contextvars.Context,
-        pipeline: Pipeline,
-        workflow_id: str,
-        user: Union[Account, EndUser],
-        application_generate_entity: RagPipelineGenerateEntity,
-        invoke_from: InvokeFrom,
-        workflow_execution_repository: WorkflowExecutionRepository,
-        workflow_node_execution_repository: WorkflowNodeExecutionRepository,
-        streaming: bool = True,
-        variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER,
-        workflow_thread_pool_id: Optional[str] = None,
-    ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
-        """
-        Generate App response.
-
-        :param pipeline: Pipeline
-        :param workflow: Workflow
-        :param user: account or end user
-        :param application_generate_entity: application generate entity
-        :param invoke_from: invoke from source
-        :param workflow_execution_repository: repository for workflow execution
-        :param workflow_node_execution_repository: repository for workflow node execution
-        :param streaming: is stream
-        :param workflow_thread_pool_id: workflow thread pool id
-        """
-        with preserve_flask_contexts(flask_app, context_vars=context):
-            # init queue manager
-            workflow = db.session.query(Workflow).filter(Workflow.id == workflow_id).first()
-            if not workflow:
-                raise ValueError(f"Workflow not found: {workflow_id}")
-            queue_manager = PipelineQueueManager(
-                task_id=application_generate_entity.task_id,
-                user_id=application_generate_entity.user_id,
-                invoke_from=application_generate_entity.invoke_from,
-                app_mode=AppMode.RAG_PIPELINE,
-            )
-            context = contextvars.copy_context()
-
-            # new thread
-            worker_thread = threading.Thread(
-                target=self._generate_worker,
-                kwargs={
-                    "flask_app": current_app._get_current_object(),  # type: ignore
-                    "context": context,
-                    "queue_manager": queue_manager,
-                    "application_generate_entity": application_generate_entity,
-                    "workflow_thread_pool_id": workflow_thread_pool_id,
-                    "variable_loader": variable_loader,
-                },
-            )
-
-            worker_thread.start()
-
-            draft_var_saver_factory = self._get_draft_var_saver_factory(
-                invoke_from,
-                user,
-            )
-            # return response or stream generator
-            response = self._handle_response(
-                application_generate_entity=application_generate_entity,
-                workflow=workflow,
-                queue_manager=queue_manager,
-                user=user,
-                workflow_execution_repository=workflow_execution_repository,
-                workflow_node_execution_repository=workflow_node_execution_repository,
-                stream=streaming,
-                draft_var_saver_factory=draft_var_saver_factory,
-            )
-
-            return WorkflowAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from)
-
-    def single_iteration_generate(
-        self,
-        pipeline: Pipeline,
-        workflow: Workflow,
-        node_id: str,
-        user: Account | EndUser,
-        args: Mapping[str, Any],
-        streaming: bool = True,
-    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]:
-        """
-        Generate App response.
-
-        :param app_model: App
-        :param workflow: Workflow
-        :param node_id: the node id
-        :param user: account or end user
-        :param args: request args
-        :param streaming: is streamed
-        """
-        if not node_id:
-            raise ValueError("node_id is required")
-
-        if args.get("inputs") is None:
-            raise ValueError("inputs is required")
-
-        # convert to app config
-        pipeline_config = PipelineConfigManager.get_pipeline_config(
-            pipeline=pipeline, workflow=workflow, start_node_id=args.get("start_node_id", "shared")
-        )
-
-        with Session(db.engine) as session:
-            dataset = pipeline.retrieve_dataset(session)
-            if not dataset:
-                raise ValueError("Pipeline dataset is required")
-
-        # init application generate entity - use RagPipelineGenerateEntity instead
-        application_generate_entity = RagPipelineGenerateEntity(
-            task_id=str(uuid.uuid4()),
-            app_config=pipeline_config,
-            pipeline_config=pipeline_config,
-            datasource_type=args.get("datasource_type", ""),
-            datasource_info=args.get("datasource_info", {}),
-            dataset_id=dataset.id,
-            batch=args.get("batch", ""),
-            document_id=args.get("document_id"),
-            inputs={},
-            files=[],
-            user_id=user.id,
-            stream=streaming,
-            invoke_from=InvokeFrom.DEBUGGER,
-            call_depth=0,
-            workflow_execution_id=str(uuid.uuid4()),
-        )
-        contexts.plugin_tool_providers.set({})
-        contexts.plugin_tool_providers_lock.set(threading.Lock())
-        # Create workflow node execution repository
-        session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
-
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
-            session_factory=session_factory,
-            user=user,
-            app_id=application_generate_entity.app_config.app_id,
-            triggered_from=WorkflowRunTriggeredFrom.RAG_PIPELINE_DEBUGGING,
-        )
-
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
-            session_factory=session_factory,
-            user=user,
-            app_id=application_generate_entity.app_config.app_id,
-            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
-        )
-        draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow)
-        var_loader = DraftVarLoader(
-            engine=db.engine,
-            app_id=application_generate_entity.app_config.app_id,
-            tenant_id=application_generate_entity.app_config.tenant_id,
-        )
-
-        return self._generate(
-            flask_app=current_app._get_current_object(),  # type: ignore
-            pipeline=pipeline,
-            workflow_id=workflow.id,
-            user=user,
-            invoke_from=InvokeFrom.DEBUGGER,
-            application_generate_entity=application_generate_entity,
-            workflow_execution_repository=workflow_execution_repository,
-            workflow_node_execution_repository=workflow_node_execution_repository,
-            streaming=streaming,
-            variable_loader=var_loader,
-        )
-
-    def single_loop_generate(
-        self,
-        pipeline: Pipeline,
-        workflow: Workflow,
-        node_id: str,
-        user: Account | EndUser,
-        args: Mapping[str, Any],
-        streaming: bool = True,
-    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]:
-        """
-        Generate App response.
-
-        :param app_model: App
-        :param workflow: Workflow
-        :param node_id: the node id
-        :param user: account or end user
-        :param args: request args
-        :param streaming: is streamed
-        """
-        if not node_id:
-            raise ValueError("node_id is required")
-
-        if args.get("inputs") is None:
-            raise ValueError("inputs is required")
-
-        with Session(db.engine) as session:
-            dataset = pipeline.retrieve_dataset(session)
-            if not dataset:
-                raise ValueError("Pipeline dataset is required")
-
-        # convert to app config
-        pipeline_config = PipelineConfigManager.get_pipeline_config(
-            pipeline=pipeline, workflow=workflow, start_node_id=args.get("start_node_id", "shared")
-        )
-
-        # init application generate entity
-        application_generate_entity = RagPipelineGenerateEntity(
-            task_id=str(uuid.uuid4()),
-            app_config=pipeline_config,
-            pipeline_config=pipeline_config,
-            datasource_type=args.get("datasource_type", ""),
-            datasource_info=args.get("datasource_info", {}),
-            batch=args.get("batch", ""),
-            document_id=args.get("document_id"),
-            dataset_id=dataset.id,
-            inputs={},
-            files=[],
-            user_id=user.id,
-            stream=streaming,
-            invoke_from=InvokeFrom.DEBUGGER,
-            extras={"auto_generate_conversation_name": False},
-            single_loop_run=RagPipelineGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args["inputs"]),
-            workflow_execution_id=str(uuid.uuid4()),
-        )
-        contexts.plugin_tool_providers.set({})
-        contexts.plugin_tool_providers_lock.set(threading.Lock())
-
-        # Create workflow node execution repository
-        session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
-
-        workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
-            session_factory=session_factory,
-            user=user,
-            app_id=application_generate_entity.app_config.app_id,
-            triggered_from=WorkflowRunTriggeredFrom.RAG_PIPELINE_DEBUGGING,
-        )
-
-        workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
-            session_factory=session_factory,
-            user=user,
-            app_id=application_generate_entity.app_config.app_id,
-            triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
-        )
-        draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow)
-        var_loader = DraftVarLoader(
-            engine=db.engine,
-            app_id=application_generate_entity.app_config.app_id,
-            tenant_id=application_generate_entity.app_config.tenant_id,
-        )
-
-        return self._generate(
-            flask_app=current_app._get_current_object(),  # type: ignore
-            pipeline=pipeline,
-            workflow_id=workflow.id,
-            user=user,
-            invoke_from=InvokeFrom.DEBUGGER,
-            application_generate_entity=application_generate_entity,
-            workflow_execution_repository=workflow_execution_repository,
-            workflow_node_execution_repository=workflow_node_execution_repository,
-            streaming=streaming,
-            variable_loader=var_loader,
-        )
-
-    def _generate_worker(
-        self,
-        flask_app: Flask,
-        application_generate_entity: RagPipelineGenerateEntity,
-        queue_manager: AppQueueManager,
-        context: contextvars.Context,
-        variable_loader: VariableLoader,
-        workflow_thread_pool_id: Optional[str] = None,
-    ) -> None:
-        """
-        Generate worker in a new thread.
-        :param flask_app: Flask app
-        :param application_generate_entity: application generate entity
-        :param queue_manager: queue manager
-        :param workflow_thread_pool_id: workflow thread pool id
-        :return:
-        """
-
-        with preserve_flask_contexts(flask_app, context_vars=context):
-            try:
-                with Session(db.engine, expire_on_commit=False) as session:
-                    workflow = session.scalar(
-                        select(Workflow).where(
-                            Workflow.tenant_id == application_generate_entity.app_config.tenant_id,
-                            Workflow.app_id == application_generate_entity.app_config.app_id,
-                            Workflow.id == application_generate_entity.app_config.workflow_id,
-                        )
-                    )
-                    if workflow is None:
-                        raise ValueError("Workflow not found")
-
-                    # Determine system_user_id based on invocation source
-                    is_external_api_call = application_generate_entity.invoke_from in {
-                        InvokeFrom.WEB_APP,
-                        InvokeFrom.SERVICE_API,
-                    }
-
-                    if is_external_api_call:
-                        # For external API calls, use end user's session ID
-                        end_user = session.scalar(
-                            select(EndUser).where(EndUser.id == application_generate_entity.user_id)
-                        )
-                        system_user_id = end_user.session_id if end_user else ""
-                    else:
-                        # For internal calls, use the original user ID
-                        system_user_id = application_generate_entity.user_id
-                    # workflow app
-                    runner = PipelineRunner(
-                        application_generate_entity=application_generate_entity,
-                        queue_manager=queue_manager,
-                        workflow_thread_pool_id=workflow_thread_pool_id,
-                        variable_loader=variable_loader,
-                        workflow=workflow,
-                        system_user_id=system_user_id,
-                    )
-
-                    runner.run()
-            except GenerateTaskStoppedError:
-                pass
-            except InvokeAuthorizationError:
-                queue_manager.publish_error(
-                    InvokeAuthorizationError("Incorrect API key provided"), PublishFrom.APPLICATION_MANAGER
-                )
-            except ValidationError as e:
-                logger.exception("Validation Error when generating")
-                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            except ValueError as e:
-                if dify_config.DEBUG:
-                    logger.exception("Error when generating")
-                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            except Exception as e:
-                logger.exception("Unknown Error when generating")
-                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
-            finally:
-                db.session.close()
-
-    def _handle_response(
-        self,
-        application_generate_entity: RagPipelineGenerateEntity,
-        workflow: Workflow,
-        queue_manager: AppQueueManager,
-        user: Union[Account, EndUser],
-        workflow_execution_repository: WorkflowExecutionRepository,
-        workflow_node_execution_repository: WorkflowNodeExecutionRepository,
-        draft_var_saver_factory: DraftVariableSaverFactory,
-        stream: bool = False,
-    ) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
-        """
-        Handle response.
-        :param application_generate_entity: application generate entity
-        :param workflow: workflow
-        :param queue_manager: queue manager
-        :param user: account or end user
-        :param stream: is stream
-        :param workflow_node_execution_repository: optional repository for workflow node execution
-        :return:
-        """
-        # init generate task pipeline
-        generate_task_pipeline = WorkflowAppGenerateTaskPipeline(
-            application_generate_entity=application_generate_entity,
-            workflow=workflow,
-            queue_manager=queue_manager,
-            user=user,
-            stream=stream,
-            workflow_node_execution_repository=workflow_node_execution_repository,
-            workflow_execution_repository=workflow_execution_repository,
-            draft_var_saver_factory=draft_var_saver_factory,
-        )
-
-        try:
-            return generate_task_pipeline.process()
-        except ValueError as e:
-            if len(e.args) > 0 and e.args[0] == "I/O operation on closed file.":  # ignore this error
-                raise GenerateTaskStoppedError()
-            else:
-                logger.exception(
-                    "Fails to process generate task pipeline, task_id: %r",
-                    application_generate_entity.task_id,
-                )
-                raise e
-
-    def _build_document(
-        self,
-        tenant_id: str,
-        dataset_id: str,
-        built_in_field_enabled: bool,
-        datasource_type: str,
-        datasource_info: Mapping[str, Any],
-        created_from: str,
-        position: int,
-        account: Union[Account, EndUser],
-        batch: str,
-        document_form: str,
-    ):
-        if datasource_type == "local_file":
-            name = datasource_info.get("name", "untitled")
-        elif datasource_type == "online_document":
-            name = datasource_info.get("page", {}).get("page_name", "untitled")
-        elif datasource_type == "website_crawl":
-            name = datasource_info.get("title", "untitled")
-        elif datasource_type == "online_drive":
-            name = datasource_info.get("name", "untitled")
-        else:
-            raise ValueError(f"Unsupported datasource type: {datasource_type}")
-
-        document = Document(
-            tenant_id=tenant_id,
-            dataset_id=dataset_id,
-            position=position,
-            data_source_type=datasource_type,
-            data_source_info=json.dumps(datasource_info),
-            batch=batch,
-            name=name,
-            created_from=created_from,
-            created_by=account.id,
-            doc_form=document_form,
-        )
-        doc_metadata = {}
-        if built_in_field_enabled:
-            doc_metadata = {
-                BuiltInField.document_name: name,
-                BuiltInField.uploader: account.name,
-                BuiltInField.upload_date: datetime.datetime.now(datetime.UTC).strftime("%Y-%m-%d %H:%M:%S"),
-                BuiltInField.last_update_date: datetime.datetime.now(datetime.UTC).strftime("%Y-%m-%d %H:%M:%S"),
-                BuiltInField.source: datasource_type,
-            }
-        if doc_metadata:
-            document.doc_metadata = doc_metadata
-        return document
-
-    def _format_datasource_info_list(
-        self,
-        datasource_type: str,
-        datasource_info_list: list[Mapping[str, Any]],
-        pipeline: Pipeline,
-        workflow: Workflow,
-        start_node_id: str,
-        user: Union[Account, EndUser],
-    ) -> list[Mapping[str, Any]]:
-        """
-        Format datasource info list.
-        """
-        if datasource_type == "online_drive":
-            all_files = []
-            datasource_node_data = None
-            datasource_nodes = workflow.graph_dict.get("nodes", [])
-            for datasource_node in datasource_nodes:
-                if datasource_node.get("id") == start_node_id:
-                    datasource_node_data = datasource_node.get("data", {})
-                    break
-            if not datasource_node_data:
-                raise ValueError("Datasource node data not found")
-
-            from core.datasource.datasource_manager import DatasourceManager
-
-            datasource_runtime = DatasourceManager.get_datasource_runtime(
-                provider_id=f"{datasource_node_data.get('plugin_id')}/{datasource_node_data.get('provider_name')}",
-                datasource_name=datasource_node_data.get("datasource_name"),
-                tenant_id=pipeline.tenant_id,
-                datasource_type=DatasourceProviderType(datasource_type),
-            )
-            datasource_provider_service = DatasourceProviderService()
-            credentials = datasource_provider_service.get_datasource_credentials(
-                tenant_id=pipeline.tenant_id,
-                provider=datasource_node_data.get("provider_name"),
-                plugin_id=datasource_node_data.get("plugin_id"),
-                credential_id=datasource_node_data.get("credential_id"),
-            )
-            if credentials:
-                datasource_runtime.runtime.credentials = credentials
-            datasource_runtime = cast(OnlineDriveDatasourcePlugin, datasource_runtime)
-
-            for datasource_info in datasource_info_list:
-                if datasource_info.get("id") and datasource_info.get("type") == "folder":
-                    # get all files in the folder
-                    self._get_files_in_folder(
-                        datasource_runtime,
-                        datasource_info.get("id", ""),
-                        datasource_info.get("bucket", None),
-                        user.id,
-                        all_files,
-                        datasource_info,
-                        None,
-                    )
-                else:
-                    all_files.append(
-                        {
-                            "id": datasource_info.get("id", ""),
-                            "name": datasource_info.get("name", "untitled"),
-                            "bucket": datasource_info.get("bucket", None),
-                        }
-                    )
-            return all_files
-        else:
-            return datasource_info_list
-
-    def _get_files_in_folder(
-        self,
-        datasource_runtime: OnlineDriveDatasourcePlugin,
-        prefix: str,
-        bucket: Optional[str],
-        user_id: str,
-        all_files: list,
-        datasource_info: Mapping[str, Any],
-        next_page_parameters: Optional[dict] = None,
-    ):
-        """
-        Get files in a folder.
-        """
-        result_generator = datasource_runtime.online_drive_browse_files(
-            user_id=user_id,
-            request=OnlineDriveBrowseFilesRequest(
-                bucket=bucket,
-                prefix=prefix,
-                max_keys=20,
-                next_page_parameters=next_page_parameters,
-            ),
-            provider_type=datasource_runtime.datasource_provider_type(),
-        )
-        is_truncated = False
-        for result in result_generator:
-            for files in result.result:
-                for file in files.files:
-                    if file.type == "folder":
-                        self._get_files_in_folder(
-                            datasource_runtime,
-                            file.id,
-                            bucket,
-                            user_id,
-                            all_files,
-                            datasource_info,
-                            None,
-                        )
-                    else:
-                        all_files.append(
-                            {
-                                "id": file.id,
-                                "name": file.name,
-                                "bucket": bucket,
-                            }
-                        )
-                is_truncated = files.is_truncated
-                next_page_parameters = files.next_page_parameters
-
-        if is_truncated:
-            self._get_files_in_folder(
-                datasource_runtime, prefix, bucket, user_id, all_files, datasource_info, next_page_parameters
-            )

api/core/app/apps/pipeline/pipeline_queue_manager.py

@@ -1,45 +0,0 @@
-from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
-from core.app.apps.exc import GenerateTaskStoppedError
-from core.app.entities.app_invoke_entities import InvokeFrom
-from core.app.entities.queue_entities import (
-    AppQueueEvent,
-    QueueErrorEvent,
-    QueueMessageEndEvent,
-    QueueStopEvent,
-    QueueWorkflowFailedEvent,
-    QueueWorkflowPartialSuccessEvent,
-    QueueWorkflowSucceededEvent,
-    WorkflowQueueMessage,
-)
-
-
-class PipelineQueueManager(AppQueueManager):
-    def __init__(self, task_id: str, user_id: str, invoke_from: InvokeFrom, app_mode: str) -> None:
-        super().__init__(task_id, user_id, invoke_from)
-
-        self._app_mode = app_mode
-
-    def _publish(self, event: AppQueueEvent, pub_from: PublishFrom) -> None:
-        """
-        Publish event to queue
-        :param event:
-        :param pub_from:
-        :return:
-        """
-        message = WorkflowQueueMessage(task_id=self._task_id, app_mode=self._app_mode, event=event)
-
-        self._q.put(message)
-
-        if isinstance(
-            event,
-            QueueStopEvent
-            | QueueErrorEvent
-            | QueueMessageEndEvent
-            | QueueWorkflowSucceededEvent
-            | QueueWorkflowFailedEvent
-            | QueueWorkflowPartialSuccessEvent,
-        ):
-            self.stop_listen()
-
-        if pub_from == PublishFrom.APPLICATION_MANAGER and self._is_stopped():
-            raise GenerateTaskStoppedError()

api/core/app/apps/pipeline/pipeline_runner.py

@@ -1,280 +0,0 @@
-import logging
-import time
-from typing import Optional, cast
-
-from core.app.apps.base_app_queue_manager import AppQueueManager
-from core.app.apps.pipeline.pipeline_config_manager import PipelineConfig
-from core.app.apps.workflow_app_runner import WorkflowBasedAppRunner
-from core.app.entities.app_invoke_entities import (
-    InvokeFrom,
-    RagPipelineGenerateEntity,
-)
-from core.variables.variables import RAGPipelineVariable, RAGPipelineVariableInput
-from core.workflow.entities.graph_init_params import GraphInitParams
-from core.workflow.entities.graph_runtime_state import GraphRuntimeState
-from core.workflow.entities.variable_pool import VariablePool
-from core.workflow.graph import Graph
-from core.workflow.graph_events import GraphEngineEvent, GraphRunFailedEvent
-from core.workflow.nodes.node_factory import DifyNodeFactory
-from core.workflow.system_variable import SystemVariable
-from core.workflow.variable_loader import VariableLoader
-from core.workflow.workflow_entry import WorkflowEntry
-from extensions.ext_database import db
-from models.dataset import Document, Pipeline
-from models.enums import UserFrom
-from models.model import EndUser
-from models.workflow import Workflow
-
-logger = logging.getLogger(__name__)
-
-
-class PipelineRunner(WorkflowBasedAppRunner):
-    """
-    Pipeline Application Runner
-    """
-
-    def __init__(
-        self,
-        application_generate_entity: RagPipelineGenerateEntity,
-        queue_manager: AppQueueManager,
-        variable_loader: VariableLoader,
-        workflow: Workflow,
-        system_user_id: str,
-        workflow_thread_pool_id: Optional[str] = None,
-    ) -> None:
-        """
-        :param application_generate_entity: application generate entity
-        :param queue_manager: application queue manager
-        :param workflow_thread_pool_id: workflow thread pool id
-        """
-        super().__init__(
-            queue_manager=queue_manager,
-            variable_loader=variable_loader,
-            app_id=application_generate_entity.app_config.app_id,
-        )
-        self.application_generate_entity = application_generate_entity
-        self.workflow_thread_pool_id = workflow_thread_pool_id
-        self._workflow = workflow
-        self._sys_user_id = system_user_id
-
-    def _get_app_id(self) -> str:
-        return self.application_generate_entity.app_config.app_id
-
-    def run(self) -> None:
-        """
-        Run application
-        """
-        app_config = self.application_generate_entity.app_config
-        app_config = cast(PipelineConfig, app_config)
-
-        user_id = None
-        if self.application_generate_entity.invoke_from in {InvokeFrom.WEB_APP, InvokeFrom.SERVICE_API}:
-            end_user = db.session.query(EndUser).filter(EndUser.id == self.application_generate_entity.user_id).first()
-            if end_user:
-                user_id = end_user.session_id
-        else:
-            user_id = self.application_generate_entity.user_id
-
-        pipeline = db.session.query(Pipeline).filter(Pipeline.id == app_config.app_id).first()
-        if not pipeline:
-            raise ValueError("Pipeline not found")
-
-        workflow = self.get_workflow(pipeline=pipeline, workflow_id=app_config.workflow_id)
-        if not workflow:
-            raise ValueError("Workflow not initialized")
-
-        db.session.close()
-
-        # if only single iteration run is requested
-        if self.application_generate_entity.single_iteration_run:
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            # if only single iteration run is requested
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
-                workflow=workflow,
-                node_id=self.application_generate_entity.single_iteration_run.node_id,
-                user_inputs=self.application_generate_entity.single_iteration_run.inputs,
-                graph_runtime_state=graph_runtime_state,
-            )
-        elif self.application_generate_entity.single_loop_run:
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            # if only single loop run is requested
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
-                workflow=workflow,
-                node_id=self.application_generate_entity.single_loop_run.node_id,
-                user_inputs=self.application_generate_entity.single_loop_run.inputs,
-                graph_runtime_state=graph_runtime_state,
-            )
-        else:
-            inputs = self.application_generate_entity.inputs
-            files = self.application_generate_entity.files
-
-            # Create a variable pool.
-            system_inputs = SystemVariable(
-                files=files,
-                user_id=user_id,
-                app_id=app_config.app_id,
-                workflow_id=app_config.workflow_id,
-                workflow_execution_id=self.application_generate_entity.workflow_execution_id,
-                document_id=self.application_generate_entity.document_id,
-                batch=self.application_generate_entity.batch,
-                dataset_id=self.application_generate_entity.dataset_id,
-                datasource_type=self.application_generate_entity.datasource_type,
-                datasource_info=self.application_generate_entity.datasource_info,
-                invoke_from=self.application_generate_entity.invoke_from.value,
-            )
-
-            rag_pipeline_variables = []
-            if workflow.rag_pipeline_variables:
-                for v in workflow.rag_pipeline_variables:
-                    rag_pipeline_variable = RAGPipelineVariable(**v)
-                    if (
-                        rag_pipeline_variable.belong_to_node_id
-                        in (self.application_generate_entity.start_node_id, "shared")
-                    ) and rag_pipeline_variable.variable in inputs:
-                        rag_pipeline_variables.append(
-                            RAGPipelineVariableInput(
-                                variable=rag_pipeline_variable,
-                                value=inputs[rag_pipeline_variable.variable],
-                            )
-                        )
-
-            variable_pool = VariablePool(
-                system_variables=system_inputs,
-                user_inputs=inputs,
-                environment_variables=workflow.environment_variables,
-                conversation_variables=[],
-                rag_pipeline_variables=rag_pipeline_variables,
-            )
-            graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter())
-
-            # init graph
-            graph = self._init_rag_pipeline_graph(
-                graph_runtime_state=graph_runtime_state,
-                start_node_id=self.application_generate_entity.start_node_id,
-                workflow=workflow,
-            )
-
-        # RUN WORKFLOW
-        workflow_entry = WorkflowEntry(
-            tenant_id=workflow.tenant_id,
-            app_id=workflow.app_id,
-            workflow_id=workflow.id,
-            graph=graph,
-            graph_config=workflow.graph_dict,
-            user_id=self.application_generate_entity.user_id,
-            user_from=(
-                UserFrom.ACCOUNT
-                if self.application_generate_entity.invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER}
-                else UserFrom.END_USER
-            ),
-            invoke_from=self.application_generate_entity.invoke_from,
-            call_depth=self.application_generate_entity.call_depth,
-            graph_runtime_state=graph_runtime_state,
-        )
-
-        generator = workflow_entry.run()
-
-        for event in generator:
-            self._update_document_status(
-                event, self.application_generate_entity.document_id, self.application_generate_entity.dataset_id
-            )
-            self._handle_event(workflow_entry, event)
-
-    def get_workflow(self, pipeline: Pipeline, workflow_id: str) -> Optional[Workflow]:
-        """
-        Get workflow
-        """
-        # fetch workflow by workflow_id
-        workflow = (
-            db.session.query(Workflow)
-            .filter(
-                Workflow.tenant_id == pipeline.tenant_id, Workflow.app_id == pipeline.id, Workflow.id == workflow_id
-            )
-            .first()
-        )
-
-        # return workflow
-        return workflow
-
-    def _init_rag_pipeline_graph(
-        self, workflow: Workflow, graph_runtime_state: GraphRuntimeState, start_node_id: Optional[str] = None
-    ) -> Graph:
-        """
-        Init pipeline graph
-        """
-        graph_config = workflow.graph_dict
-        if "nodes" not in graph_config or "edges" not in graph_config:
-            raise ValueError("nodes or edges not found in workflow graph")
-
-        if not isinstance(graph_config.get("nodes"), list):
-            raise ValueError("nodes in workflow graph must be a list")
-
-        if not isinstance(graph_config.get("edges"), list):
-            raise ValueError("edges in workflow graph must be a list")
-        # nodes = graph_config.get("nodes", [])
-        # edges = graph_config.get("edges", [])
-        # real_run_nodes = []
-        # real_edges = []
-        # exclude_node_ids = []
-        # for node in nodes:
-        #     node_id = node.get("id")
-        #     node_type = node.get("data", {}).get("type", "")
-        #     if node_type == "datasource":
-        #         if start_node_id != node_id:
-        #             exclude_node_ids.append(node_id)
-        #             continue
-        #     real_run_nodes.append(node)
-
-        # for edge in edges:
-        #     if edge.get("source") in exclude_node_ids:
-        #         continue
-        #     real_edges.append(edge)
-        # graph_config = dict(graph_config)
-        # graph_config["nodes"] = real_run_nodes
-        # graph_config["edges"] = real_edges
-        # init graph
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=workflow.tenant_id,
-            app_id=self._app_id,
-            workflow_id=workflow.id,
-            graph_config=graph_config,
-            user_id=self.application_generate_entity.user_id,
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
-            graph_runtime_state=graph_runtime_state,
-        )
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=start_node_id)
-
-        if not graph:
-            raise ValueError("graph not found in workflow")
-
-        return graph
-
-    def _update_document_status(self, event: GraphEngineEvent, document_id: str | None, dataset_id: str | None) -> None:
-        """
-        Update document status
-        """
-        if isinstance(event, GraphRunFailedEvent):
-            if document_id and dataset_id:
-                document = (
-                    db.session.query(Document)
-                    .filter(Document.id == document_id, Document.dataset_id == dataset_id)
-                    .first()
-                )
-                if document:
-                    document.indexing_status = "error"
-                    document.error = event.error or "Unknown error"
-                    db.session.add(document)
-                    db.session.commit()

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

@@ -3,7 +3,7 @@ import logging
 import threading
 import uuid
 from collections.abc import Generator, Mapping, Sequence
-from typing import Any, Literal, Union, overload
+from typing import Any, Literal, Optional, Union, overload
 
 from flask import Flask, current_app
 from pydantic import ValidationError
@@ -53,6 +53,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: Literal[True],
         call_depth: int,
+        workflow_thread_pool_id: Optional[str],
     ) -> Generator[Mapping | str, None, None]: ...
 
     @overload
@@ -66,6 +67,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: Literal[False],
         call_depth: int,
+        workflow_thread_pool_id: Optional[str],
     ) -> Mapping[str, Any]: ...
 
     @overload
@@ -79,6 +81,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: bool,
         call_depth: int,
+        workflow_thread_pool_id: Optional[str],
     ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: ...
 
     def generate(
@@ -91,6 +94,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: bool = True,
         call_depth: int = 0,
+        workflow_thread_pool_id: Optional[str] = None,
     ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]:
         files: Sequence[Mapping[str, Any]] = args.get("files") or []
 
@@ -182,6 +186,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             workflow_execution_repository=workflow_execution_repository,
             workflow_node_execution_repository=workflow_node_execution_repository,
             streaming=streaming,
+            workflow_thread_pool_id=workflow_thread_pool_id,
         )
 
     def _generate(
@@ -195,6 +200,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         workflow_execution_repository: WorkflowExecutionRepository,
         workflow_node_execution_repository: WorkflowNodeExecutionRepository,
         streaming: bool = True,
+        workflow_thread_pool_id: Optional[str] = None,
         variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER,
     ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
         """
@@ -208,6 +214,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         :param workflow_execution_repository: repository for workflow execution
         :param workflow_node_execution_repository: repository for workflow node execution
         :param streaming: is stream
+        :param workflow_thread_pool_id: workflow thread pool id
         """
         # init queue manager
         queue_manager = WorkflowAppQueueManager(
@@ -230,13 +237,16 @@ class WorkflowAppGenerator(BaseAppGenerator):
                 "application_generate_entity": application_generate_entity,
                 "queue_manager": queue_manager,
                 "context": context,
+                "workflow_thread_pool_id": workflow_thread_pool_id,
                 "variable_loader": variable_loader,
             },
         )
 
         worker_thread.start()
 
-        draft_var_saver_factory = self._get_draft_var_saver_factory(invoke_from, user)
+        draft_var_saver_factory = self._get_draft_var_saver_factory(
+            invoke_from,
+        )
 
         # return response or stream generator
         response = self._handle_response(
@@ -424,7 +434,17 @@ class WorkflowAppGenerator(BaseAppGenerator):
         queue_manager: AppQueueManager,
         context: contextvars.Context,
         variable_loader: VariableLoader,
+        workflow_thread_pool_id: Optional[str] = None,
     ) -> None:
+        """
+        Generate worker in a new thread.
+        :param flask_app: Flask app
+        :param application_generate_entity: application generate entity
+        :param queue_manager: queue manager
+        :param workflow_thread_pool_id: workflow thread pool id
+        :return:
+        """
+
         with preserve_flask_contexts(flask_app, context_vars=context):
             with Session(db.engine, expire_on_commit=False) as session:
                 workflow = session.scalar(
@@ -454,6 +474,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             runner = WorkflowAppRunner(
                 application_generate_entity=application_generate_entity,
                 queue_manager=queue_manager,
+                workflow_thread_pool_id=workflow_thread_pool_id,
                 variable_loader=variable_loader,
                 workflow=workflow,
                 system_user_id=system_user_id,

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

@@ -1,7 +1,7 @@
 import logging
-import time
-from typing import cast
+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
@@ -9,14 +9,13 @@ from core.app.entities.app_invoke_entities import (
     InvokeFrom,
     WorkflowAppGenerateEntity,
 )
-from core.workflow.entities import GraphRuntimeState, VariablePool
-from core.workflow.graph_engine.command_channels.redis_channel import RedisChannel
+from core.workflow.callbacks import WorkflowCallback, WorkflowLoggingCallback
+from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import VariableLoader
 from core.workflow.workflow_entry import WorkflowEntry
-from extensions.ext_redis import redis_client
 from models.enums import UserFrom
-from models.workflow import Workflow
+from models.workflow import Workflow, WorkflowType
 
 logger = logging.getLogger(__name__)
 
@@ -32,6 +31,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
         application_generate_entity: WorkflowAppGenerateEntity,
         queue_manager: AppQueueManager,
         variable_loader: VariableLoader,
+        workflow_thread_pool_id: Optional[str] = None,
         workflow: Workflow,
         system_user_id: str,
     ) -> None:
@@ -41,6 +41,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
             app_id=application_generate_entity.app_config.app_id,
         )
         self.application_generate_entity = application_generate_entity
+        self.workflow_thread_pool_id = workflow_thread_pool_id
         self._workflow = workflow
         self._sys_user_id = system_user_id
 
@@ -51,30 +52,24 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
         app_config = self.application_generate_entity.app_config
         app_config = cast(WorkflowAppConfig, app_config)
 
+        workflow_callbacks: list[WorkflowCallback] = []
+        if dify_config.DEBUG:
+            workflow_callbacks.append(WorkflowLoggingCallback())
+
         # if only single iteration run is requested
         if self.application_generate_entity.single_iteration_run:
             # if only single iteration run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_iteration_run.node_id,
                 user_inputs=self.application_generate_entity.single_iteration_run.inputs,
-                graph_runtime_state=graph_runtime_state,
             )
         elif self.application_generate_entity.single_loop_run:
             # if only single loop run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
                 workflow=self._workflow,
                 node_id=self.application_generate_entity.single_loop_run.node_id,
                 user_inputs=self.application_generate_entity.single_loop_run.inputs,
-                graph_runtime_state=graph_runtime_state,
             )
         else:
             inputs = self.application_generate_entity.inputs
@@ -97,26 +92,15 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
                 conversation_variables=[],
             )
 
-            graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter())
-
             # init graph
-            graph = self._init_graph(
-                graph_config=self._workflow.graph_dict,
-                graph_runtime_state=graph_runtime_state,
-                workflow_id=self._workflow.id,
-                tenant_id=self._workflow.tenant_id,
-            )
+            graph = self._init_graph(graph_config=self._workflow.graph_dict)
 
         # RUN WORKFLOW
-        # Create Redis command channel for this workflow execution
-        task_id = self.application_generate_entity.task_id
-        channel_key = f"workflow:{task_id}:commands"
-        command_channel = RedisChannel(redis_client, channel_key)
-
         workflow_entry = WorkflowEntry(
             tenant_id=self._workflow.tenant_id,
             app_id=self._workflow.app_id,
             workflow_id=self._workflow.id,
+            workflow_type=WorkflowType.value_of(self._workflow.type),
             graph=graph,
             graph_config=self._workflow.graph_dict,
             user_id=self.application_generate_entity.user_id,
@@ -127,11 +111,11 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
             ),
             invoke_from=self.application_generate_entity.invoke_from,
             call_depth=self.application_generate_entity.call_depth,
-            graph_runtime_state=graph_runtime_state,
-            command_channel=command_channel,
+            variable_pool=variable_pool,
+            thread_pool_id=self.workflow_thread_pool_id,
         )
 
-        generator = workflow_entry.run()
+        generator = workflow_entry.run(callbacks=workflow_callbacks)
 
         for event in generator:
             self._handle_event(workflow_entry, event)

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

@@ -89,7 +89,7 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
                 data = cls._error_to_stream_response(sub_stream_response.err)
                 response_chunk.update(data)
             elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
-                response_chunk.update(sub_stream_response.to_ignore_detail_dict())  # ty: ignore [unresolved-attribute]
+                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
             else:
                 response_chunk.update(sub_stream_response.to_dict())
             yield response_chunk

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

@@ -2,7 +2,7 @@ import logging
 import time
 from collections.abc import Callable, Generator
 from contextlib import contextmanager
-from typing import Optional, Union
+from typing import Any, Optional, Union
 
 from sqlalchemy.orm import Session
 
@@ -14,7 +14,6 @@ from core.app.entities.app_invoke_entities import (
     WorkflowAppGenerateEntity,
 )
 from core.app.entities.queue_entities import (
-    AppQueueEvent,
     MessageQueueMessage,
     QueueAgentLogEvent,
     QueueErrorEvent,
@@ -26,9 +25,14 @@ from core.app.entities.queue_entities import (
     QueueLoopStartEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
     QueuePingEvent,
     QueueStopEvent,
     QueueTextChunkEvent,
@@ -53,8 +57,8 @@ from core.app.entities.task_entities import (
 from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline
 from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk
 from core.ops.ops_trace_manager import TraceQueueManager
-from core.workflow.entities import GraphRuntimeState, WorkflowExecution
-from core.workflow.enums import WorkflowExecutionStatus, WorkflowType
+from core.workflow.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType
+from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
 from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
 from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
@@ -296,15 +300,16 @@ class WorkflowAppGenerateTaskPipeline:
         """Handle node retry events."""
         self._ensure_workflow_initialized()
 
-        workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
-            workflow_execution_id=self._workflow_run_id,
-            event=event,
-        )
-        response = self._workflow_response_converter.workflow_node_retry_to_stream_response(
-            event=event,
-            task_id=self._application_generate_entity.task_id,
-            workflow_node_execution=workflow_node_execution,
-        )
+        with self._database_session() as session:
+            workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried(
+                workflow_execution_id=self._workflow_run_id,
+                event=event,
+            )
+            response = self._workflow_response_converter.workflow_node_retry_to_stream_response(
+                event=event,
+                task_id=self._application_generate_entity.task_id,
+                workflow_node_execution=workflow_node_execution,
+            )
 
         if response:
             yield response
@@ -345,7 +350,9 @@ class WorkflowAppGenerateTaskPipeline:
 
     def _handle_node_failed_events(
         self,
-        event: Union[QueueNodeFailedEvent, QueueNodeExceptionEvent],
+        event: Union[
+            QueueNodeFailedEvent, QueueNodeInIterationFailedEvent, QueueNodeInLoopFailedEvent, QueueNodeExceptionEvent
+        ],
         **kwargs,
     ) -> Generator[StreamResponse, None, None]:
         """Handle various node failure events."""
@@ -364,6 +371,32 @@ class WorkflowAppGenerateTaskPipeline:
         if node_failed_response:
             yield node_failed_response
 
+    def _handle_parallel_branch_started_event(
+        self, event: QueueParallelBranchRunStartedEvent, **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch started events."""
+        self._ensure_workflow_initialized()
+
+        parallel_start_resp = self._workflow_response_converter.workflow_parallel_branch_start_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_start_resp
+
+    def _handle_parallel_branch_finished_events(
+        self, event: Union[QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent], **kwargs
+    ) -> Generator[StreamResponse, None, None]:
+        """Handle parallel branch finished events."""
+        self._ensure_workflow_initialized()
+
+        parallel_finish_resp = self._workflow_response_converter.workflow_parallel_branch_finished_to_stream_response(
+            task_id=self._application_generate_entity.task_id,
+            workflow_execution_id=self._workflow_run_id,
+            event=event,
+        )
+        yield parallel_finish_resp
+
     def _handle_iteration_start_event(
         self, event: QueueIterationStartEvent, **kwargs
     ) -> Generator[StreamResponse, None, None]:
@@ -585,6 +618,8 @@ class WorkflowAppGenerateTaskPipeline:
             QueueNodeRetryEvent: self._handle_node_retry_event,
             QueueNodeStartedEvent: self._handle_node_started_event,
             QueueNodeSucceededEvent: self._handle_node_succeeded_event,
+            # Parallel branch events
+            QueueParallelBranchRunStartedEvent: self._handle_parallel_branch_started_event,
             # Iteration events
             QueueIterationStartEvent: self._handle_iteration_start_event,
             QueueIterationNextEvent: self._handle_iteration_next_event,
@@ -599,7 +634,7 @@ class WorkflowAppGenerateTaskPipeline:
 
     def _dispatch_event(
         self,
-        event: AppQueueEvent,
+        event: Any,
         *,
         graph_runtime_state: Optional[GraphRuntimeState] = None,
         tts_publisher: Optional[AppGeneratorTTSPublisher] = None,
@@ -626,6 +661,8 @@ class WorkflowAppGenerateTaskPipeline:
             event,
             (
                 QueueNodeFailedEvent,
+                QueueNodeInIterationFailedEvent,
+                QueueNodeInLoopFailedEvent,
                 QueueNodeExceptionEvent,
             ),
         ):
@@ -638,6 +675,17 @@ class WorkflowAppGenerateTaskPipeline:
             )
             return
 
+        # Handle parallel branch finished events with isinstance check
+        if isinstance(event, (QueueParallelBranchRunSucceededEvent, QueueParallelBranchRunFailedEvent)):
+            yield from self._handle_parallel_branch_finished_events(
+                event,
+                graph_runtime_state=graph_runtime_state,
+                tts_publisher=tts_publisher,
+                trace_manager=trace_manager,
+                queue_message=queue_message,
+            )
+            return
+
         # Handle workflow failed and stop events with isinstance check
         if isinstance(event, (QueueWorkflowFailedEvent, QueueStopEvent)):
             yield from self._handle_workflow_failed_and_stop_events(

api/core/app/apps/workflow_app_runner.py

@@ -2,7 +2,6 @@ from collections.abc import Mapping
 from typing import Any, cast
 
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
-from core.app.entities.app_invoke_entities import InvokeFrom
 from core.app.entities.queue_entities import (
     AppQueueEvent,
     QueueAgentLogEvent,
@@ -14,9 +13,14 @@ from core.app.entities.queue_entities import (
     QueueLoopStartEvent,
     QueueNodeExceptionEvent,
     QueueNodeFailedEvent,
+    QueueNodeInIterationFailedEvent,
+    QueueNodeInLoopFailedEvent,
     QueueNodeRetryEvent,
     QueueNodeStartedEvent,
     QueueNodeSucceededEvent,
+    QueueParallelBranchRunFailedEvent,
+    QueueParallelBranchRunStartedEvent,
+    QueueParallelBranchRunSucceededEvent,
     QueueRetrieverResourcesEvent,
     QueueTextChunkEvent,
     QueueWorkflowFailedEvent,
@@ -24,39 +28,42 @@ from core.app.entities.queue_entities import (
     QueueWorkflowStartedEvent,
     QueueWorkflowSucceededEvent,
 )
-from core.workflow.entities import GraphInitParams, GraphRuntimeState, VariablePool
-from core.workflow.graph import Graph
-from core.workflow.graph_events import (
+from core.workflow.entities.variable_pool import VariablePool
+from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
+from core.workflow.graph_engine.entities.event import (
+    AgentLogEvent,
     GraphEngineEvent,
     GraphRunFailedEvent,
     GraphRunPartialSucceededEvent,
     GraphRunStartedEvent,
     GraphRunSucceededEvent,
-    NodeRunAgentLogEvent,
+    IterationRunFailedEvent,
+    IterationRunNextEvent,
+    IterationRunStartedEvent,
+    IterationRunSucceededEvent,
+    LoopRunFailedEvent,
+    LoopRunNextEvent,
+    LoopRunStartedEvent,
+    LoopRunSucceededEvent,
+    NodeInIterationFailedEvent,
+    NodeInLoopFailedEvent,
     NodeRunExceptionEvent,
     NodeRunFailedEvent,
-    NodeRunIterationFailedEvent,
-    NodeRunIterationNextEvent,
-    NodeRunIterationStartedEvent,
-    NodeRunIterationSucceededEvent,
-    NodeRunLoopFailedEvent,
-    NodeRunLoopNextEvent,
-    NodeRunLoopStartedEvent,
-    NodeRunLoopSucceededEvent,
     NodeRunRetrieverResourceEvent,
     NodeRunRetryEvent,
     NodeRunStartedEvent,
     NodeRunStreamChunkEvent,
     NodeRunSucceededEvent,
+    ParallelBranchRunFailedEvent,
+    ParallelBranchRunStartedEvent,
+    ParallelBranchRunSucceededEvent,
 )
-from core.workflow.graph_events.graph import GraphRunAbortedEvent
+from core.workflow.graph_engine.entities.graph import Graph
 from core.workflow.nodes import NodeType
-from core.workflow.nodes.node_factory import DifyNodeFactory
 from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING
 from core.workflow.system_variable import SystemVariable
 from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader, load_into_variable_pool
 from core.workflow.workflow_entry import WorkflowEntry
-from models.enums import UserFrom
 from models.workflow import Workflow
 
 
@@ -72,14 +79,7 @@ class WorkflowBasedAppRunner:
         self._variable_loader = variable_loader
         self._app_id = app_id
 
-    def _init_graph(
-        self,
-        graph_config: Mapping[str, Any],
-        graph_runtime_state: GraphRuntimeState,
-        workflow_id: str = "",
-        tenant_id: str = "",
-        user_id: str = "",
-    ) -> Graph:
+    def _init_graph(self, graph_config: Mapping[str, Any]) -> Graph:
         """
         Init graph
         """
@@ -91,28 +91,8 @@ class WorkflowBasedAppRunner:
 
         if not isinstance(graph_config.get("edges"), list):
             raise ValueError("edges in workflow graph must be a list")
-
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=tenant_id or "",
-            app_id=self._app_id,
-            workflow_id=workflow_id,
-            graph_config=graph_config,
-            user_id=user_id,
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        # Use the provided graph_runtime_state for consistent state management
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
-            graph_runtime_state=graph_runtime_state,
-        )
-
         # init graph
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory)
+        graph = Graph.init(graph_config=graph_config)
 
         if not graph:
             raise ValueError("graph not found in workflow")
@@ -124,7 +104,6 @@ class WorkflowBasedAppRunner:
         workflow: Workflow,
         node_id: str,
         user_inputs: dict,
-        graph_runtime_state: GraphRuntimeState,
     ) -> tuple[Graph, VariablePool]:
         """
         Get variable pool of single iteration
@@ -166,25 +145,8 @@ class WorkflowBasedAppRunner:
 
         graph_config["edges"] = edge_configs
 
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=workflow.tenant_id,
-            app_id=self._app_id,
-            workflow_id=workflow.id,
-            graph_config=graph_config,
-            user_id="",
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
-            graph_runtime_state=graph_runtime_state,
-        )
-
         # init graph
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=node_id)
+        graph = Graph.init(graph_config=graph_config, root_node_id=node_id)
 
         if not graph:
             raise ValueError("graph not found in workflow")
@@ -239,7 +201,6 @@ class WorkflowBasedAppRunner:
         workflow: Workflow,
         node_id: str,
         user_inputs: dict,
-        graph_runtime_state: GraphRuntimeState,
     ) -> tuple[Graph, VariablePool]:
         """
         Get variable pool of single loop
@@ -281,25 +242,8 @@ class WorkflowBasedAppRunner:
 
         graph_config["edges"] = edge_configs
 
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=workflow.tenant_id,
-            app_id=self._app_id,
-            workflow_id=workflow.id,
-            graph_config=graph_config,
-            user_id="",
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
-            graph_runtime_state=graph_runtime_state,
-        )
-
         # init graph
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=node_id)
+        graph = Graph.init(graph_config=graph_config, root_node_id=node_id)
 
         if not graph:
             raise ValueError("graph not found in workflow")
@@ -366,21 +310,29 @@ class WorkflowBasedAppRunner:
             )
         elif isinstance(event, GraphRunFailedEvent):
             self._publish_event(QueueWorkflowFailedEvent(error=event.error, exceptions_count=event.exceptions_count))
-        elif isinstance(event, GraphRunAbortedEvent):
-            self._publish_event(QueueWorkflowFailedEvent(error=event.reason or "Unknown error", exceptions_count=0))
         elif isinstance(event, NodeRunRetryEvent):
-            node_run_result = event.node_run_result
-            inputs = node_run_result.inputs
-            process_data = node_run_result.process_data
-            outputs = node_run_result.outputs
-            execution_metadata = node_run_result.metadata
+            node_run_result = event.route_node_state.node_run_result
+            inputs: Mapping[str, Any] | None = {}
+            process_data: Mapping[str, Any] | None = {}
+            outputs: Mapping[str, Any] | None = {}
+            execution_metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] | None = {}
+            if node_run_result:
+                inputs = node_run_result.inputs
+                process_data = node_run_result.process_data
+                outputs = node_run_result.outputs
+                execution_metadata = node_run_result.metadata
             self._publish_event(
                 QueueNodeRetryEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
-                    node_title=event.node_title,
                     node_type=event.node_type,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
+                    node_run_index=event.route_node_state.index,
                     predecessor_node_id=event.predecessor_node_id,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
@@ -391,8 +343,6 @@ class WorkflowBasedAppRunner:
                     error=event.error,
                     execution_metadata=execution_metadata,
                     retry_index=event.retry_index,
-                    provider_type=event.provider_type,
-                    provider_id=event.provider_id,
                 )
             )
         elif isinstance(event, NodeRunStartedEvent):
@@ -400,30 +350,44 @@ class WorkflowBasedAppRunner:
                 QueueNodeStartedEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
-                    node_title=event.node_title,
                     node_type=event.node_type,
-                    start_at=event.start_at,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    node_run_index=event.route_node_state.index,
                     predecessor_node_id=event.predecessor_node_id,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                     parallel_mode_run_id=event.parallel_mode_run_id,
                     agent_strategy=event.agent_strategy,
-                    provider_type=event.provider_type,
-                    provider_id=event.provider_id,
                 )
             )
         elif isinstance(event, NodeRunSucceededEvent):
-            node_run_result = event.node_run_result
-            inputs = node_run_result.inputs
-            process_data = node_run_result.process_data
-            outputs = node_run_result.outputs
-            execution_metadata = node_run_result.metadata
+            node_run_result = event.route_node_state.node_run_result
+            if node_run_result:
+                inputs = node_run_result.inputs
+                process_data = node_run_result.process_data
+                outputs = node_run_result.outputs
+                execution_metadata = node_run_result.metadata
+            else:
+                inputs = {}
+                process_data = {}
+                outputs = {}
+                execution_metadata = {}
             self._publish_event(
                 QueueNodeSucceededEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
                     node_type=event.node_type,
-                    start_at=event.start_at,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
                     inputs=inputs,
                     process_data=process_data,
                     outputs=outputs,
@@ -432,18 +396,34 @@ class WorkflowBasedAppRunner:
                     in_loop_id=event.in_loop_id,
                 )
             )
+
         elif isinstance(event, NodeRunFailedEvent):
             self._publish_event(
                 QueueNodeFailedEvent(
                     node_execution_id=event.id,
                     node_id=event.node_id,
                     node_type=event.node_type,
-                    start_at=event.start_at,
-                    inputs=event.node_run_result.inputs,
-                    process_data=event.node_run_result.process_data,
-                    outputs=event.node_run_result.outputs,
-                    error=event.node_run_result.error or "Unknown error",
-                    execution_metadata=event.node_run_result.metadata,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs or {}
+                    if event.route_node_state.node_run_result
+                    else {},
+                    error=event.route_node_state.node_run_result.error
+                    if event.route_node_state.node_run_result and event.route_node_state.node_run_result.error
+                    else "Unknown error",
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                 )
@@ -454,21 +434,93 @@ class WorkflowBasedAppRunner:
                     node_execution_id=event.id,
                     node_id=event.node_id,
                     node_type=event.node_type,
-                    start_at=event.start_at,
-                    inputs=event.node_run_result.inputs,
-                    process_data=event.node_run_result.process_data,
-                    outputs=event.node_run_result.outputs,
-                    error=event.node_run_result.error or "Unknown error",
-                    execution_metadata=event.node_run_result.metadata,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    error=event.route_node_state.node_run_result.error
+                    if event.route_node_state.node_run_result and event.route_node_state.node_run_result.error
+                    else "Unknown error",
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                 )
             )
+
+        elif isinstance(event, NodeInIterationFailedEvent):
+            self._publish_event(
+                QueueNodeInIterationFailedEvent(
+                    node_execution_id=event.id,
+                    node_id=event.node_id,
+                    node_type=event.node_type,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs or {}
+                    if event.route_node_state.node_run_result
+                    else {},
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
+                    in_iteration_id=event.in_iteration_id,
+                    error=event.error,
+                )
+            )
+        elif isinstance(event, NodeInLoopFailedEvent):
+            self._publish_event(
+                QueueNodeInLoopFailedEvent(
+                    node_execution_id=event.id,
+                    node_id=event.node_id,
+                    node_type=event.node_type,
+                    node_data=event.node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    start_at=event.route_node_state.start_at,
+                    inputs=event.route_node_state.node_run_result.inputs
+                    if event.route_node_state.node_run_result
+                    else {},
+                    process_data=event.route_node_state.node_run_result.process_data
+                    if event.route_node_state.node_run_result
+                    else {},
+                    outputs=event.route_node_state.node_run_result.outputs or {}
+                    if event.route_node_state.node_run_result
+                    else {},
+                    execution_metadata=event.route_node_state.node_run_result.metadata
+                    if event.route_node_state.node_run_result
+                    else {},
+                    in_loop_id=event.in_loop_id,
+                    error=event.error,
+                )
+            )
         elif isinstance(event, NodeRunStreamChunkEvent):
             self._publish_event(
                 QueueTextChunkEvent(
-                    text=event.chunk,
-                    from_variable_selector=list(event.selector),
+                    text=event.chunk_content,
+                    from_variable_selector=event.from_variable_selector,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                 )
@@ -481,10 +533,10 @@ class WorkflowBasedAppRunner:
                     in_loop_id=event.in_loop_id,
                 )
             )
-        elif isinstance(event, NodeRunAgentLogEvent):
+        elif isinstance(event, AgentLogEvent):
             self._publish_event(
                 QueueAgentLogEvent(
-                    id=event.message_id,
+                    id=event.id,
                     label=event.label,
                     node_execution_id=event.node_execution_id,
                     parent_id=event.parent_id,
@@ -495,13 +547,51 @@ class WorkflowBasedAppRunner:
                     node_id=event.node_id,
                 )
             )
-        elif isinstance(event, NodeRunIterationStartedEvent):
+        elif isinstance(event, ParallelBranchRunStartedEvent):
+            self._publish_event(
+                QueueParallelBranchRunStartedEvent(
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    in_iteration_id=event.in_iteration_id,
+                    in_loop_id=event.in_loop_id,
+                )
+            )
+        elif isinstance(event, ParallelBranchRunSucceededEvent):
+            self._publish_event(
+                QueueParallelBranchRunSucceededEvent(
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    in_iteration_id=event.in_iteration_id,
+                    in_loop_id=event.in_loop_id,
+                )
+            )
+        elif isinstance(event, ParallelBranchRunFailedEvent):
+            self._publish_event(
+                QueueParallelBranchRunFailedEvent(
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
+                    in_iteration_id=event.in_iteration_id,
+                    in_loop_id=event.in_loop_id,
+                    error=event.error,
+                )
+            )
+        elif isinstance(event, IterationRunStartedEvent):
             self._publish_event(
                 QueueIterationStartEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.iteration_id,
+                    node_id=event.iteration_node_id,
+                    node_type=event.iteration_node_type,
+                    node_data=event.iteration_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
@@ -509,41 +599,55 @@ class WorkflowBasedAppRunner:
                     metadata=event.metadata,
                 )
             )
-        elif isinstance(event, NodeRunIterationNextEvent):
+        elif isinstance(event, IterationRunNextEvent):
             self._publish_event(
                 QueueIterationNextEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.iteration_id,
+                    node_id=event.iteration_node_id,
+                    node_type=event.iteration_node_type,
+                    node_data=event.iteration_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     index=event.index,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     output=event.pre_iteration_output,
+                    parallel_mode_run_id=event.parallel_mode_run_id,
+                    duration=event.duration,
                 )
             )
-        elif isinstance(event, (NodeRunIterationSucceededEvent | NodeRunIterationFailedEvent)):
+        elif isinstance(event, (IterationRunSucceededEvent | IterationRunFailedEvent)):
             self._publish_event(
                 QueueIterationCompletedEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.iteration_id,
+                    node_id=event.iteration_node_id,
+                    node_type=event.iteration_node_type,
+                    node_data=event.iteration_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
                     outputs=event.outputs,
                     metadata=event.metadata,
                     steps=event.steps,
-                    error=event.error if isinstance(event, NodeRunIterationFailedEvent) else None,
+                    error=event.error if isinstance(event, IterationRunFailedEvent) else None,
                 )
             )
-        elif isinstance(event, NodeRunLoopStartedEvent):
+        elif isinstance(event, LoopRunStartedEvent):
             self._publish_event(
                 QueueLoopStartEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.loop_id,
+                    node_id=event.loop_node_id,
+                    node_type=event.loop_node_type,
+                    node_data=event.loop_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
@@ -551,32 +655,42 @@ class WorkflowBasedAppRunner:
                     metadata=event.metadata,
                 )
             )
-        elif isinstance(event, NodeRunLoopNextEvent):
+        elif isinstance(event, LoopRunNextEvent):
             self._publish_event(
                 QueueLoopNextEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.loop_id,
+                    node_id=event.loop_node_id,
+                    node_type=event.loop_node_type,
+                    node_data=event.loop_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     index=event.index,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     output=event.pre_loop_output,
+                    parallel_mode_run_id=event.parallel_mode_run_id,
+                    duration=event.duration,
                 )
             )
-        elif isinstance(event, (NodeRunLoopSucceededEvent | NodeRunLoopFailedEvent)):
+        elif isinstance(event, (LoopRunSucceededEvent | LoopRunFailedEvent)):
             self._publish_event(
                 QueueLoopCompletedEvent(
-                    node_execution_id=event.id,
-                    node_id=event.node_id,
-                    node_type=event.node_type,
-                    node_title=event.node_title,
+                    node_execution_id=event.loop_id,
+                    node_id=event.loop_node_id,
+                    node_type=event.loop_node_type,
+                    node_data=event.loop_node_data,
+                    parallel_id=event.parallel_id,
+                    parallel_start_node_id=event.parallel_start_node_id,
+                    parent_parallel_id=event.parent_parallel_id,
+                    parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                     start_at=event.start_at,
                     node_run_index=workflow_entry.graph_engine.graph_runtime_state.node_run_steps,
                     inputs=event.inputs,
                     outputs=event.outputs,
                     metadata=event.metadata,
                     steps=event.steps,
-                    error=event.error if isinstance(event, NodeRunLoopFailedEvent) else None,
+                    error=event.error if isinstance(event, LoopRunFailedEvent) else None,
                 )
             )