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1318 changed files with 9560 additions and 73488 deletions
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@@ -5,7 +5,7 @@ cd web && pnpm install
pipx install uv
echo 'alias start-api="cd /workspaces/dify/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
echo 'alias start-web-prod="cd /workspaces/dify/web && pnpm build && pnpm start"' >> ~/.bashrc
echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d"' >> ~/.bashrc
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+2 -2
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@@ -8,7 +8,7 @@ inputs:
uv-version:
description: UV version to set up
required: true
default: '0.8.9'
default: '~=0.7.11'
uv-lockfile:
description: Path to the UV lockfile to restore cache from
required: true
@@ -26,7 +26,7 @@ runs:
python-version: ${{ inputs.python-version }}
- name: Install uv
uses: astral-sh/setup-uv@v6
uses: astral-sh/setup-uv@v5
with:
version: ${{ inputs.uv-version }}
python-version: ${{ inputs.python-version }}
-1
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@@ -8,7 +8,6 @@ on:
- "deploy/enterprise"
- "build/**"
- "release/e-*"
- "deploy/rag-dev"
tags:
- "*"
+3 -4
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@@ -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/[email protected]
with:
host: ${{ secrets.RAG_SSH_HOST }}
host: ${{ secrets.SSH_HOST }}
username: ${{ secrets.SSH_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
script: |
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@@ -82,7 +82,7 @@ jobs:
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
version: 10
run_install: false
- name: Setup NodeJS
@@ -95,12 +95,10 @@ jobs:
- name: Web dependencies
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm install --frozen-lockfile
- name: Web style check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm run lint
docker-compose-template:
@@ -46,7 +46,7 @@ jobs:
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
version: 10
run_install: false
- name: Set up Node.js
@@ -59,12 +59,10 @@ jobs:
- name: Install dependencies
if: env.FILES_CHANGED == 'true'
working-directory: ./web
run: pnpm install --frozen-lockfile
- name: Generate i18n translations
if: env.FILES_CHANGED == 'true'
working-directory: ./web
run: pnpm run auto-gen-i18n ${{ env.FILE_ARGS }}
- name: Create Pull Request
+1 -3
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@@ -35,7 +35,7 @@ jobs:
if: steps.changed-files.outputs.any_changed == 'true'
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
version: 10
run_install: false
- name: Setup Node.js
@@ -48,10 +48,8 @@ jobs:
- name: Install dependencies
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm install --frozen-lockfile
- name: Run tests
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm test
-83
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@@ -1,83 +0,0 @@
# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
Dify is an open-source platform for developing LLM applications with an intuitive interface combining agentic AI workflows, RAG pipelines, agent capabilities, and model management.
The codebase consists of:
- **Backend API** (`/api`): Python Flask application with Domain-Driven Design architecture
- **Frontend Web** (`/web`): Next.js 15 application with TypeScript and React 19
- **Docker deployment** (`/docker`): Containerized deployment configurations
## Development Commands
### Backend (API)
All Python commands must be prefixed with `uv run --project api`:
```bash
# Start development servers
./dev/start-api # Start API server
./dev/start-worker # Start Celery worker
# Run tests
uv run --project api pytest # Run all tests
uv run --project api pytest tests/unit_tests/ # Unit tests only
uv run --project api pytest tests/integration_tests/ # Integration tests
# Code quality
./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 --project api mypy . # Type checking
```
### Frontend (Web)
```bash
cd web
pnpm lint # Run ESLint
pnpm eslint-fix # Fix ESLint issues
pnpm test # Run Jest tests
```
## Testing Guidelines
### Backend Testing
- Use `pytest` for all backend tests
- Write tests first (TDD approach)
- Test structure: Arrange-Act-Assert
## Code Style Requirements
### Python
- Use type hints for all functions and class attributes
- No `Any` types unless absolutely necessary
- Implement special methods (`__repr__`, `__str__`) appropriately
### TypeScript/JavaScript
- Strict TypeScript configuration
- ESLint with Prettier integration
- Avoid `any` type
## Important Notes
- **Environment Variables**: Always use UV for Python commands: `uv run --project api <command>`
- **Comments**: Only write meaningful comments that explain "why", not "what"
- **File Creation**: Always prefer editing existing files over creating new ones
- **Documentation**: Don't create documentation files unless explicitly requested
- **Code Quality**: Always run `./dev/reformat` before committing backend changes
## Common Development Tasks
### Adding a New API Endpoint
1. Create controller in `/api/controllers/`
2. Add service logic in `/api/services/`
3. Update routes in controller's `__init__.py`
4. Write tests in `/api/tests/`
## Project-Specific Conventions
- All async tasks use Celery with Redis as broker
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@@ -225,8 +225,7 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Using Alibaba Cloud Computing Nest
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@@ -208,8 +208,7 @@ docker compose up -d
##### AWS
- [AWS CDK بواسطة @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK بواسطة @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### استخدام Alibaba Cloud للنشر
[بسرعة نشر Dify إلى سحابة علي بابا مع عش الحوسبة السحابية علي بابا](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
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@@ -225,8 +225,7 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
##### AWS
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud ব্যবহার করে ডিপ্লয়
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@@ -223,8 +223,7 @@ docker compose up -d
使用 [CDK](https://aws.amazon.com/cdk/) 将 Dify 部署到 AWS
##### AWS
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### 使用 阿里云计算巢 部署
+1 -2
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@@ -220,8 +220,7 @@ Stellen Sie Dify mit nur einem Klick mithilfe von [terraform](https://www.terraf
Bereitstellung von Dify auf AWS mit [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -220,8 +220,7 @@ Despliega Dify en una plataforma en la nube con un solo clic utilizando [terrafo
Despliegue Dify en AWS usando [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK por @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK por @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -218,8 +218,7 @@ Déployez Dify sur une plateforme cloud en un clic en utilisant [terraform](http
Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK par @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK par @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK par @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -219,8 +219,7 @@ docker compose up -d
[CDK](https://aws.amazon.com/cdk/) を使用して、DifyをAWSにデプロイします
##### AWS
- [@KevinZhaoによるAWS CDK (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [@tmokmssによるAWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [@KevinZhaoによるAWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+1 -2
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@@ -218,8 +218,7 @@ wa'logh nIqHom neH ghun deployment toy'wI' [terraform](https://www.terraform.io/
wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo'laH.
##### AWS
- [AWS CDK qachlot @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK qachlot @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK qachlot @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -212,8 +212,7 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
[CDK](https://aws.amazon.com/cdk/)를 사용하여 AWS에 Dify 배포
##### AWS
- [KevinZhao의 AWS CDK (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [tmokmss의 AWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [KevinZhao의 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -217,8 +217,7 @@ Implante o Dify na Plataforma Cloud com um único clique usando [terraform](http
Implante o Dify na AWS usando [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK por @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK por @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -218,8 +218,7 @@ namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.
Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -211,8 +211,7 @@ Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.ter
[CDK](https://aws.amazon.com/cdk/) kullanarak Dify'ı AWS'ye dağıtın
##### AWS
- [AWS CDK tarafından @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK tarafından @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK tarafından @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -223,8 +223,7 @@ Dify 的所有功能都提供相應的 API,因此您可以輕鬆地將 Dify
### AWS
- [由 @KevinZhao 提供的 AWS CDK (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [由 @tmokmss 提供的 AWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [由 @KevinZhao 提供的 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### 使用 阿里云计算巢進行部署
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@@ -213,8 +213,7 @@ Triển khai Dify lên nền tảng đám mây với một cú nhấp chuột b
Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK bởi @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK bởi @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
- [AWS CDK bởi @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud
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@@ -4,7 +4,7 @@ FROM python:3.12-slim-bookworm AS base
WORKDIR /app/api
# Install uv
ENV UV_VERSION=0.8.9
ENV UV_VERSION=0.7.11
RUN pip install --no-cache-dir uv==${UV_VERSION}
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@@ -74,7 +74,7 @@
10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
```bash
uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage
uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin
```
Addition, if you want to debug the celery scheduled tasks, you can use the following command in another terminal:
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@@ -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
-2
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@@ -51,7 +51,6 @@ def initialize_extensions(app: DifyApp):
ext_login,
ext_mail,
ext_migrate,
ext_orjson,
ext_otel,
ext_proxy_fix,
ext_redis,
@@ -68,7 +67,6 @@ def initialize_extensions(app: DifyApp):
ext_logging,
ext_warnings,
ext_import_modules,
ext_orjson,
ext_set_secretkey,
ext_compress,
ext_code_based_extension,
+1 -367
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@@ -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 DatasourceProviderID, PluginInstallationSource, ToolProviderID
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
@@ -33,15 +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.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 tasks.remove_app_and_related_data_task import delete_draft_variables_batch
@click.command("reset-password", help="Reset the account password.")
@@ -1208,363 +1202,3 @@ def setup_system_tool_oauth_client(provider, client_params):
db.session.add(oauth_client)
db.session.commit()
click.echo(click.style(f"OAuth client params setup successfully. id: {oauth_client.id}", fg="green"))
def _find_orphaned_draft_variables(batch_size: int = 1000) -> list[str]:
"""
Find draft variables that reference non-existent apps.
Args:
batch_size: Maximum number of orphaned app IDs to return
Returns:
List of app IDs that have draft variables but don't exist in the apps table
"""
query = """
SELECT DISTINCT wdv.app_id
FROM workflow_draft_variables AS wdv
WHERE NOT EXISTS(
SELECT 1 FROM apps WHERE apps.id = wdv.app_id
)
LIMIT :batch_size
"""
with db.engine.connect() as conn:
result = conn.execute(sa.text(query), {"batch_size": batch_size})
return [row[0] for row in result]
def _count_orphaned_draft_variables() -> dict[str, Any]:
"""
Count orphaned draft variables by app.
Returns:
Dictionary with statistics about orphaned variables
"""
query = """
SELECT
wdv.app_id,
COUNT(*) as variable_count
FROM workflow_draft_variables AS wdv
WHERE NOT EXISTS(
SELECT 1 FROM apps WHERE apps.id = wdv.app_id
)
GROUP BY wdv.app_id
ORDER BY variable_count DESC
"""
with db.engine.connect() as conn:
result = conn.execute(sa.text(query))
orphaned_by_app = {row[0]: row[1] for row in result}
total_orphaned = sum(orphaned_by_app.values())
app_count = len(orphaned_by_app)
return {
"total_orphaned_variables": total_orphaned,
"orphaned_app_count": app_count,
"orphaned_by_app": orphaned_by_app,
}
@click.command()
@click.option("--dry-run", is_flag=True, help="Show what would be deleted without actually deleting")
@click.option("--batch-size", default=1000, help="Number of records to process per batch (default 1000)")
@click.option("--max-apps", default=None, type=int, help="Maximum number of apps to process (default: no limit)")
@click.option("-f", "--force", is_flag=True, help="Skip user confirmation and force the command to execute.")
def cleanup_orphaned_draft_variables(
dry_run: bool,
batch_size: int,
max_apps: int | None,
force: bool = False,
):
"""
Clean up orphaned draft variables from the database.
This script finds and removes draft variables that belong to apps
that no longer exist in the database.
"""
logger = logging.getLogger(__name__)
# Get statistics
stats = _count_orphaned_draft_variables()
logger.info("Found %s orphaned draft variables", stats["total_orphaned_variables"])
logger.info("Across %s non-existent apps", stats["orphaned_app_count"])
if stats["total_orphaned_variables"] == 0:
logger.info("No orphaned draft variables found. Exiting.")
return
if dry_run:
logger.info("DRY RUN: Would delete the following:")
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", app_id, count)
if len(stats["orphaned_by_app"]) > 10:
logger.info(" ... and %s more apps", len(stats["orphaned_by_app"]) - 10)
return
# Confirm deletion
if not force:
click.confirm(
f"Are you sure you want to delete {stats['total_orphaned_variables']} "
f"orphaned draft variables from {stats['orphaned_app_count']} apps?",
abort=True,
)
total_deleted = 0
processed_apps = 0
while True:
if max_apps and processed_apps >= max_apps:
logger.info("Reached maximum app limit (%s). Stopping.", max_apps)
break
orphaned_app_ids = _find_orphaned_draft_variables(batch_size=10)
if not orphaned_app_ids:
logger.info("No more orphaned draft variables found.")
break
for app_id in orphaned_app_ids:
if max_apps and processed_apps >= max_apps:
break
try:
deleted_count = delete_draft_variables_batch(app_id, batch_size)
total_deleted += deleted_count
processed_apps += 1
logger.info("Deleted %s variables for app %s", deleted_count, app_id)
except Exception:
logger.exception("Error processing app %s", app_id)
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()
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
installer_manager.install_from_identifiers(
tenant_id,
[notion_plugin_unique_identifier],
PluginInstallationSource.Marketplace,
metas=[
{
"plugin_unique_identifier": 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",
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()
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
installer_manager.install_from_identifiers(
tenant_id,
[firecrawl_plugin_unique_identifier],
PluginInstallationSource.Marketplace,
metas=[
{
"plugin_unique_identifier": firecrawl_plugin_unique_identifier,
}
],
)
auth_count = 0
for credential in credentials:
auth_count += 1
# get credential api key
api_key = credential.credentials.get("config", {}).get("api_key")
base_url = credential.credentials.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="jina").all()
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
installer_manager.install_from_identifiers(
tenant_id,
[jina_plugin_unique_identifier],
PluginInstallationSource.Marketplace,
metas=[
{
"plugin_unique_identifier": jina_plugin_unique_identifier,
}
],
)
auth_count = 0
for credential in credentials:
auth_count += 1
# get credential api key
api_key = credential.credentials.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"))
+2 -8
View File
@@ -552,18 +552,12 @@ class RepositoryConfig(BaseSettings):
"""
CORE_WORKFLOW_EXECUTION_REPOSITORY: str = Field(
description="Repository implementation for WorkflowExecution. Options: "
"'core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository' (default), "
"'core.repositories.celery_workflow_execution_repository.CeleryWorkflowExecutionRepository'",
description="Repository implementation for WorkflowExecution. Specify as a module path",
default="core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository",
)
CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
description="Repository implementation for WorkflowNodeExecution. Options: "
"'core.repositories.sqlalchemy_workflow_node_execution_repository."
"SQLAlchemyWorkflowNodeExecutionRepository' (default), "
"'core.repositories.celery_workflow_node_execution_repository."
"CeleryWorkflowNodeExecutionRepository'",
description="Repository implementation for WorkflowNodeExecution. Specify as a module path",
default="core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository",
)
@@ -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="database",
)
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,
-9
View File
@@ -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")
)
-26
View File
@@ -1,7 +1,5 @@
from werkzeug.exceptions import HTTPException
from libs.exception import BaseHTTPException
class FilenameNotExistsError(HTTPException):
code = 400
@@ -11,27 +9,3 @@ class FilenameNotExistsError(HTTPException):
class RemoteFileUploadError(HTTPException):
code = 400
description = "Error uploading remote file."
class FileTooLargeError(BaseHTTPException):
error_code = "file_too_large"
description = "File size exceeded. {message}"
code = 413
class UnsupportedFileTypeError(BaseHTTPException):
error_code = "unsupported_file_type"
description = "File type not allowed."
code = 415
class TooManyFilesError(BaseHTTPException):
error_code = "too_many_files"
description = "Only one file is allowed."
code = 400
class NoFileUploadedError(BaseHTTPException):
error_code = "no_file_uploaded"
description = "Please upload your file."
code = 400
-9
View File
@@ -87,15 +87,6 @@ from .datasets import (
upload_file,
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 (
+2 -1
View File
@@ -3,8 +3,9 @@ from flask_login import current_user
from flask_restful import Resource, marshal, marshal_with, reqparse
from werkzeug.exceptions import Forbidden
from controllers.common.errors import NoFileUploadedError, TooManyFilesError
from controllers.console import api
from controllers.console.app.error import NoFileUploadedError
from controllers.console.datasets.error import TooManyFilesError
from controllers.console.wraps import (
account_initialization_required,
cloud_edition_billing_resource_check,
@@ -1,7 +1,6 @@
import logging
import flask_login
from flask import request
from flask_restful import Resource, reqparse
from werkzeug.exceptions import InternalServerError, NotFound
@@ -25,7 +24,6 @@ from core.errors.error import (
ProviderTokenNotInitError,
QuotaExceededError,
)
from core.helper.trace_id_helper import get_external_trace_id
from core.model_runtime.errors.invoke import InvokeError
from libs import helper
from libs.helper import uuid_value
@@ -117,10 +115,6 @@ class ChatMessageApi(Resource):
streaming = args["response_mode"] != "blocking"
args["auto_generate_name"] = False
external_trace_id = get_external_trace_id(request)
if external_trace_id:
args["external_trace_id"] = external_trace_id
account = flask_login.current_user
try:
+12
View File
@@ -79,6 +79,18 @@ class ProviderNotSupportSpeechToTextError(BaseHTTPException):
code = 400
class NoFileUploadedError(BaseHTTPException):
error_code = "no_file_uploaded"
description = "Please upload your file."
code = 400
class TooManyFilesError(BaseHTTPException):
error_code = "too_many_files"
description = "Only one file is allowed."
code = 400
class DraftWorkflowNotExist(BaseHTTPException):
error_code = "draft_workflow_not_exist"
description = "Draft workflow need to be initialized."
+10 -27
View File
@@ -27,7 +27,7 @@ from fields.conversation_fields import annotation_fields, message_detail_fields
from libs.helper import uuid_value
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from libs.login import login_required
from models.model import AppMode, Conversation, Message, MessageAnnotation, MessageFeedback
from models.model import AppMode, Conversation, Message, MessageAnnotation
from services.annotation_service import AppAnnotationService
from services.errors.conversation import ConversationNotExistsError
from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
@@ -124,33 +124,16 @@ class MessageFeedbackApi(Resource):
parser.add_argument("rating", type=str, choices=["like", "dislike", None], location="json")
args = parser.parse_args()
message_id = str(args["message_id"])
message = db.session.query(Message).filter(Message.id == message_id, Message.app_id == app_model.id).first()
if not message:
raise NotFound("Message Not Exists.")
feedback = message.admin_feedback
if not args["rating"] and feedback:
db.session.delete(feedback)
elif args["rating"] and feedback:
feedback.rating = args["rating"]
elif not args["rating"] and not feedback:
raise ValueError("rating cannot be None when feedback not exists")
else:
feedback = MessageFeedback(
app_id=app_model.id,
conversation_id=message.conversation_id,
message_id=message.id,
rating=args["rating"],
from_source="admin",
from_account_id=current_user.id,
try:
MessageService.create_feedback(
app_model=app_model,
message_id=str(args["message_id"]),
user=current_user,
rating=args.get("rating"),
content=None,
)
db.session.add(feedback)
db.session.commit()
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
return {"result": "success"}
-9
View File
@@ -23,7 +23,6 @@ from core.app.app_config.features.file_upload.manager import FileUploadConfigMan
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 extensions.ext_database import db
from factories import file_factory, variable_factory
from fields.workflow_fields import workflow_fields, workflow_pagination_fields
@@ -186,10 +185,6 @@ class AdvancedChatDraftWorkflowRunApi(Resource):
args = parser.parse_args()
external_trace_id = get_external_trace_id(request)
if external_trace_id:
args["external_trace_id"] = external_trace_id
try:
response = AppGenerateService.generate(
app_model=app_model, user=current_user, args=args, invoke_from=InvokeFrom.DEBUGGER, streaming=True
@@ -378,10 +373,6 @@ class DraftWorkflowRunApi(Resource):
parser.add_argument("files", type=list, required=False, location="json")
args = parser.parse_args()
external_trace_id = get_external_trace_id(request)
if external_trace_id:
args["external_trace_id"] = external_trace_id
try:
response = AppGenerateService.generate(
app_model=app_model,
@@ -163,11 +163,11 @@ class WorkflowVariableCollectionApi(Resource):
draft_var_srv = WorkflowDraftVariableService(
session=session,
)
workflow_vars = draft_var_srv.list_variables_without_values(
app_id=app_model.id,
page=args.page,
limit=args.limit,
)
workflow_vars = draft_var_srv.list_variables_without_values(
app_id=app_model.id,
page=args.page,
limit=args.limit,
)
return workflow_vars
+38 -73
View File
@@ -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
@@ -11,8 +9,6 @@ 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.extract_setting import ExtractSetting
from core.rag.extractor.notion_extractor import NotionExtractor
@@ -22,7 +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
@@ -117,18 +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
@@ -152,49 +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):
@@ -202,25 +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,
)
@@ -245,12 +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="notion_import",
notion_info={
"credential_id": credential_id,
"notion_workspace_id": workspace_id,
"notion_obj_id": page["page_id"],
"notion_page_type": page["type"],
@@ -279,15 +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()
@@ -438,12 +429,10 @@ class DatasetIndexingEstimateApi(Resource):
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="notion_import",
notion_info={
"credential_id": credential_id,
"notion_workspace_id": workspace_id,
"notion_obj_id": page["page_id"],
"notion_page_type": page["type"],
@@ -1,4 +1,3 @@
import json
import logging
from argparse import ArgumentTypeError
from typing import cast
@@ -52,7 +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
@@ -510,7 +508,6 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
extract_setting = ExtractSetting(
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"],
@@ -664,7 +661,7 @@ 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,
@@ -1029,41 +1026,6 @@ 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")
@@ -1085,6 +1047,3 @@ 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"
)
+24 -6
View File
@@ -1,6 +1,30 @@
from libs.exception import BaseHTTPException
class NoFileUploadedError(BaseHTTPException):
error_code = "no_file_uploaded"
description = "Please upload your file."
code = 400
class TooManyFilesError(BaseHTTPException):
error_code = "too_many_files"
description = "Only one file is allowed."
code = 400
class FileTooLargeError(BaseHTTPException):
error_code = "file_too_large"
description = "File size exceeded. {message}"
code = 413
class UnsupportedFileTypeError(BaseHTTPException):
error_code = "unsupported_file_type"
description = "File type not allowed."
code = 415
class DatasetNotInitializedError(BaseHTTPException):
error_code = "dataset_not_initialized"
description = "The dataset is still being initialized or indexing. Please wait a moment."
@@ -71,9 +95,3 @@ 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
@@ -1,365 +0,0 @@
from fastapi.encoders import jsonable_encoder
from flask import make_response, redirect, request
from flask_login import current_user # type: ignore
from flask_restful import ( # type: ignore
Resource, # type: ignore
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.entities.plugin import DatasourceProviderID
from core.plugin.impl.oauth import OAuthHandler
from libs.helper import StrLen
from libs.login import login_required
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",
)
@@ -1,57 +0,0 @@
from flask_restful 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",
)
@@ -1,164 +0,0 @@
import logging
from flask import request
from flask_restful 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",
)
@@ -1,171 +0,0 @@
from flask_login import current_user # type: ignore # type: ignore
from flask_restful import Resource, marshal, reqparse # type: ignore
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 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 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(
"name",
nullable=False,
required=True,
help="type is required. 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,
nullable=True,
required=False,
default={},
)
parser.add_argument(
"permission",
type=str,
choices=(DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM),
nullable=True,
required=False,
default=DatasetPermissionEnum.ONLY_ME,
)
parser.add_argument(
"partial_member_list",
type=list,
nullable=True,
required=False,
default=[],
)
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(**args)
try:
import_info = RagPipelineDslService.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()
parser = reqparse.RequestParser()
parser.add_argument(
"name",
nullable=False,
required=True,
help="type is required. 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,
nullable=True,
required=False,
default={},
)
parser.add_argument(
"permission",
type=str,
choices=(DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM),
nullable=True,
required=False,
default=DatasetPermissionEnum.ONLY_ME,
)
parser.add_argument(
"partial_member_list",
type=list,
nullable=True,
required=False,
default=[],
)
args = parser.parse_args()
dataset = DatasetService.create_empty_rag_pipeline_dataset(
tenant_id=current_user.current_tenant_id,
rag_pipeline_dataset_create_entity=RagPipelineDatasetCreateEntity(**args),
)
return marshal(dataset, dataset_detail_fields), 201
api.add_resource(CreateRagPipelineDatasetApi, "/rag/pipeline/dataset")
api.add_resource(CreateEmptyRagPipelineDatasetApi, "/rag/pipeline/empty-dataset")
@@ -1,416 +0,0 @@
import logging
from typing import Any, NoReturn
from flask import Response
from flask_restful 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.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 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 db
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
_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS = {
"id": fields.String,
"type": fields.String(attribute=lambda model: model.get_variable_type()),
"name": fields.String,
"description": fields.String,
"selector": fields.List(fields.String, attribute=lambda model: model.get_selector()),
"value_type": fields.String,
"edited": fields.Boolean(attribute=lambda model: model.edited),
"visible": fields.Boolean,
}
_WORKFLOW_DRAFT_VARIABLE_FIELDS = dict(
_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS,
value=fields.Raw(attribute=_serialize_var_value),
)
_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS = {
"id": fields.String,
"type": fields.String(attribute=lambda _: "env"),
"name": fields.String,
"description": fields.String,
"selector": fields.List(fields.String, attribute=lambda model: model.get_selector()),
"value_type": fields.String,
"edited": fields.Boolean(attribute=lambda model: model.edited),
"visible": fields.Boolean,
}
_WORKFLOW_DRAFT_ENV_VARIABLE_LIST_FIELDS = {
"items": fields.List(fields.Nested(_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS)),
}
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 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",
)
@@ -1,147 +0,0 @@
from typing import cast
from flask_login import current_user # type: ignore
from flask_restful 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",
)
File diff suppressed because it is too large Load Diff
-43
View File
@@ -1,43 +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.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")
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)
+24
View File
@@ -76,6 +76,30 @@ class EmailSendIpLimitError(BaseHTTPException):
code = 429
class FileTooLargeError(BaseHTTPException):
error_code = "file_too_large"
description = "File size exceeded. {message}"
code = 413
class UnsupportedFileTypeError(BaseHTTPException):
error_code = "unsupported_file_type"
description = "File type not allowed."
code = 415
class TooManyFilesError(BaseHTTPException):
error_code = "too_many_files"
description = "Only one file is allowed."
code = 400
class NoFileUploadedError(BaseHTTPException):
error_code = "no_file_uploaded"
description = "Please upload your file."
code = 400
class UnauthorizedAndForceLogout(BaseHTTPException):
error_code = "unauthorized_and_force_logout"
description = "Unauthorized and force logout."
+8 -7
View File
@@ -8,13 +8,7 @@ from werkzeug.exceptions import Forbidden
import services
from configs import dify_config
from constants import DOCUMENT_EXTENSIONS
from controllers.common.errors import (
FilenameNotExistsError,
FileTooLargeError,
NoFileUploadedError,
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.common.errors import FilenameNotExistsError
from controllers.console.wraps import (
account_initialization_required,
cloud_edition_billing_resource_check,
@@ -24,6 +18,13 @@ from fields.file_fields import file_fields, upload_config_fields
from libs.login import login_required
from services.file_service import FileService
from .error import (
FileTooLargeError,
NoFileUploadedError,
TooManyFilesError,
UnsupportedFileTypeError,
)
PREVIEW_WORDS_LIMIT = 3000
+6 -5
View File
@@ -7,17 +7,18 @@ from flask_restful import Resource, marshal_with, reqparse
import services
from controllers.common import helpers
from controllers.common.errors import (
FileTooLargeError,
RemoteFileUploadError,
UnsupportedFileTypeError,
)
from controllers.common.errors import RemoteFileUploadError
from core.file import helpers as file_helpers
from core.helper import ssrf_proxy
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
from .error import (
FileTooLargeError,
UnsupportedFileTypeError,
)
class RemoteFileInfoApi(Resource):
@marshal_with(remote_file_info_fields)
+1 -1
View File
@@ -32,7 +32,7 @@ class VersionApi(Resource):
return result
try:
response = requests.get(check_update_url, {"current_version": args.get("current_version")}, timeout=(3, 10))
response = requests.get(check_update_url, {"current_version": args.get("current_version")})
except Exception as error:
logging.warning("Check update version error: %s.", str(error))
result["version"] = args.get("current_version")
@@ -862,10 +862,6 @@ class ToolProviderMCPApi(Resource):
parser.add_argument("icon_type", type=str, required=True, nullable=False, location="json")
parser.add_argument("icon_background", type=str, required=False, nullable=True, location="json", default="")
parser.add_argument("server_identifier", type=str, required=True, nullable=False, location="json")
parser.add_argument("timeout", type=float, required=False, nullable=False, location="json", default=30)
parser.add_argument(
"sse_read_timeout", type=float, required=False, nullable=False, location="json", default=300
)
args = parser.parse_args()
user = current_user
if not is_valid_url(args["server_url"]):
@@ -880,8 +876,6 @@ class ToolProviderMCPApi(Resource):
icon_background=args["icon_background"],
user_id=user.id,
server_identifier=args["server_identifier"],
timeout=args["timeout"],
sse_read_timeout=args["sse_read_timeout"],
)
)
@@ -897,8 +891,6 @@ class ToolProviderMCPApi(Resource):
parser.add_argument("icon_background", type=str, required=False, nullable=True, location="json")
parser.add_argument("provider_id", type=str, required=True, nullable=False, location="json")
parser.add_argument("server_identifier", type=str, required=True, nullable=False, location="json")
parser.add_argument("timeout", type=float, required=False, nullable=True, location="json")
parser.add_argument("sse_read_timeout", type=float, required=False, nullable=True, location="json")
args = parser.parse_args()
if not is_valid_url(args["server_url"]):
if "[__HIDDEN__]" in args["server_url"]:
@@ -914,8 +906,6 @@ class ToolProviderMCPApi(Resource):
icon_type=args["icon_type"],
icon_background=args["icon_background"],
server_identifier=args["server_identifier"],
timeout=args.get("timeout"),
sse_read_timeout=args.get("sse_read_timeout"),
)
return {"result": "success"}
@@ -7,15 +7,15 @@ from sqlalchemy import select
from werkzeug.exceptions import Unauthorized
import services
from controllers.common.errors import (
FilenameNotExistsError,
from controllers.common.errors import FilenameNotExistsError
from controllers.console import api
from controllers.console.admin import admin_required
from controllers.console.datasets.error import (
FileTooLargeError,
NoFileUploadedError,
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.console import api
from controllers.console.admin import admin_required
from controllers.console.error import AccountNotLinkTenantError
from controllers.console.wraps import (
account_initialization_required,
-11
View File
@@ -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
+7
View File
@@ -0,0 +1,7 @@
from libs.exception import BaseHTTPException
class UnsupportedFileTypeError(BaseHTTPException):
error_code = "unsupported_file_type"
description = "File type not allowed."
code = 415
+1 -1
View File
@@ -5,8 +5,8 @@ from flask_restful import Resource, reqparse
from werkzeug.exceptions import NotFound
import services
from controllers.common.errors import UnsupportedFileTypeError
from controllers.files import api
from controllers.files.error import UnsupportedFileTypeError
from services.account_service import TenantService
from services.file_service import FileService
+1 -1
View File
@@ -4,8 +4,8 @@ from flask import Response
from flask_restful import Resource, reqparse
from werkzeug.exceptions import Forbidden, NotFound
from controllers.common.errors import UnsupportedFileTypeError
from controllers.files import api
from controllers.files.error import UnsupportedFileTypeError
from core.tools.signature import verify_tool_file_signature
from core.tools.tool_file_manager import ToolFileManager
from models import db as global_db
+2 -4
View File
@@ -5,13 +5,11 @@ from flask_restful import Resource, marshal_with
from werkzeug.exceptions import Forbidden
import services
from controllers.common.errors import (
FileTooLargeError,
UnsupportedFileTypeError,
)
from controllers.console.wraps import setup_required
from controllers.files import api
from controllers.files.error import UnsupportedFileTypeError
from controllers.inner_api.plugin.wraps import get_user
from controllers.service_api.app.error import FileTooLargeError
from core.file.helpers import verify_plugin_file_signature
from core.tools.tool_file_manager import ToolFileManager
from fields.file_fields import file_fields
@@ -1,3 +1,5 @@
import json
from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range
from sqlalchemy.orm import Session
@@ -134,15 +136,12 @@ class ConversationVariableDetailApi(Resource):
variable_id = str(variable_id)
parser = reqparse.RequestParser()
# using lambda is for passing the already-typed value without modification
# if no lambda, it will be converted to string
# the string cannot be converted using json.loads
parser.add_argument("value", required=True, location="json", type=lambda x: x)
parser.add_argument("value", required=True, location="json")
args = parser.parse_args()
try:
return ConversationService.update_conversation_variable(
app_model, conversation_id, variable_id, end_user, args["value"]
app_model, conversation_id, variable_id, end_user, json.loads(args["value"])
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
+24
View File
@@ -85,6 +85,30 @@ class ProviderNotSupportSpeechToTextError(BaseHTTPException):
code = 400
class NoFileUploadedError(BaseHTTPException):
error_code = "no_file_uploaded"
description = "Please upload your file."
code = 400
class TooManyFilesError(BaseHTTPException):
error_code = "too_many_files"
description = "Only one file is allowed."
code = 400
class FileTooLargeError(BaseHTTPException):
error_code = "file_too_large"
description = "File size exceeded. {message}"
code = 413
class UnsupportedFileTypeError(BaseHTTPException):
error_code = "unsupported_file_type"
description = "File type not allowed."
code = 415
class FileNotFoundError(BaseHTTPException):
error_code = "file_not_found"
description = "The requested file was not found."
+3 -3
View File
@@ -2,14 +2,14 @@ from flask import request
from flask_restful import Resource, marshal_with
import services
from controllers.common.errors import (
FilenameNotExistsError,
from controllers.common.errors import FilenameNotExistsError
from controllers.service_api import api
from controllers.service_api.app.error import (
FileTooLargeError,
NoFileUploadedError,
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.service_api import api
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
from fields.file_fields import file_fields
from models.model import App, EndUser
@@ -6,15 +6,15 @@ from sqlalchemy import desc, select
from werkzeug.exceptions import Forbidden, NotFound
import services
from controllers.common.errors import (
FilenameNotExistsError,
from controllers.common.errors import FilenameNotExistsError
from controllers.service_api import api
from controllers.service_api.app.error import (
FileTooLargeError,
NoFileUploadedError,
ProviderNotInitializeError,
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.service_api import api
from controllers.service_api.app.error import ProviderNotInitializeError
from controllers.service_api.dataset.error import (
ArchivedDocumentImmutableError,
DocumentIndexingError,
@@ -1,6 +1,30 @@
from libs.exception import BaseHTTPException
class NoFileUploadedError(BaseHTTPException):
error_code = "no_file_uploaded"
description = "Please upload your file."
code = 400
class TooManyFilesError(BaseHTTPException):
error_code = "too_many_files"
description = "Only one file is allowed."
code = 400
class FileTooLargeError(BaseHTTPException):
error_code = "file_too_large"
description = "File size exceeded. {message}"
code = 413
class UnsupportedFileTypeError(BaseHTTPException):
error_code = "unsupported_file_type"
description = "File type not allowed."
code = 415
class DatasetNotInitializedError(BaseHTTPException):
error_code = "dataset_not_initialized"
description = "The dataset is still being initialized or indexing. Please wait a moment."
+24
View File
@@ -97,6 +97,30 @@ class ProviderNotSupportSpeechToTextError(BaseHTTPException):
code = 400
class NoFileUploadedError(BaseHTTPException):
error_code = "no_file_uploaded"
description = "Please upload your file."
code = 400
class TooManyFilesError(BaseHTTPException):
error_code = "too_many_files"
description = "Only one file is allowed."
code = 400
class FileTooLargeError(BaseHTTPException):
error_code = "file_too_large"
description = "File size exceeded. {message}"
code = 413
class UnsupportedFileTypeError(BaseHTTPException):
error_code = "unsupported_file_type"
description = "File type not allowed."
code = 415
class WebAppAuthRequiredError(BaseHTTPException):
error_code = "web_sso_auth_required"
description = "Web app authentication required."
+2 -7
View File
@@ -2,13 +2,8 @@ from flask import request
from flask_restful import marshal_with
import services
from controllers.common.errors import (
FilenameNotExistsError,
FileTooLargeError,
NoFileUploadedError,
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.common.errors import FilenameNotExistsError
from controllers.web.error import FileTooLargeError, NoFileUploadedError, TooManyFilesError, UnsupportedFileTypeError
from controllers.web.wraps import WebApiResource
from fields.file_fields import file_fields
from services.file_service import FileService
+3 -5
View File
@@ -5,17 +5,15 @@ from flask_restful import marshal_with, reqparse
import services
from controllers.common import helpers
from controllers.common.errors import (
FileTooLargeError,
RemoteFileUploadError,
UnsupportedFileTypeError,
)
from controllers.common.errors import RemoteFileUploadError
from controllers.web.wraps import WebApiResource
from core.file import helpers as file_helpers
from core.helper import ssrf_proxy
from fields.file_fields import file_fields_with_signed_url, remote_file_info_fields
from services.file_service import FileService
from .error import FileTooLargeError, UnsupportedFileTypeError
class RemoteFileInfoApi(WebApiResource):
@marshal_with(remote_file_info_fields)
+4 -15
View File
@@ -97,7 +97,6 @@ class VariableEntityType(StrEnum):
EXTERNAL_DATA_TOOL = "external_data_tool"
FILE = "file"
FILE_LIST = "file-list"
CHECKBOX = "checkbox"
class VariableEntity(BaseModel):
@@ -114,9 +113,9 @@ 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 +128,6 @@ 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 +287,7 @@ 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
@@ -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
@@ -22,44 +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 key, 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)
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
@@ -74,7 +74,6 @@ 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
from models.account import Account
from models.enums import CreatorUserRole
@@ -569,7 +568,7 @@ class AdvancedChatAppGenerateTaskPipeline:
)
yield workflow_finish_resp
self._base_task_pipeline.queue_manager.publish(QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE)
self._base_task_pipeline._queue_manager.publish(QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE)
def _handle_workflow_partial_success_event(
self,
@@ -601,7 +600,7 @@ class AdvancedChatAppGenerateTaskPipeline:
)
yield workflow_finish_resp
self._base_task_pipeline.queue_manager.publish(QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE)
self._base_task_pipeline._queue_manager.publish(QueueAdvancedChatMessageEndEvent(), PublishFrom.TASK_PIPELINE)
def _handle_workflow_failed_event(
self,
@@ -846,7 +845,7 @@ class AdvancedChatAppGenerateTaskPipeline:
# Initialize graph runtime state
graph_runtime_state: Optional[GraphRuntimeState] = None
for queue_message in self._base_task_pipeline.queue_manager.listen():
for queue_message in self._base_task_pipeline._queue_manager.listen():
event = queue_message.event
match event:
@@ -897,7 +896,6 @@ class AdvancedChatAppGenerateTaskPipeline:
def _save_message(self, *, session: Session, graph_runtime_state: Optional[GraphRuntimeState] = None) -> None:
message = self._get_message(session=session)
message.answer = self._task_state.answer
message.updated_at = naive_utc_now()
message.provider_response_latency = time.perf_counter() - self._base_task_pipeline._start_at
message.message_metadata = self._task_state.metadata.model_dump_json()
message_files = [
@@ -961,11 +959,11 @@ class AdvancedChatAppGenerateTaskPipeline:
if self._base_task_pipeline._output_moderation_handler:
if self._base_task_pipeline._output_moderation_handler.should_direct_output():
self._task_state.answer = self._base_task_pipeline._output_moderation_handler.get_final_output()
self._base_task_pipeline.queue_manager.publish(
self._base_task_pipeline._queue_manager.publish(
QueueTextChunkEvent(text=self._task_state.answer), PublishFrom.TASK_PIPELINE
)
self._base_task_pipeline.queue_manager.publish(
self._base_task_pipeline._queue_manager.publish(
QueueStopEvent(stopped_by=QueueStopEvent.StopBy.OUTPUT_MODERATION), PublishFrom.TASK_PIPELINE
)
return True
+1 -3
View File
@@ -140,9 +140,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
)
# get tracing instance
trace_manager = TraceQueueManager(
app_id=app_model.id, user_id=user.id if isinstance(user, Account) else user.session_id
)
trace_manager = TraceQueueManager(app_id=app_model.id)
# init application generate entity
application_generate_entity = ChatAppGenerateEntity(
@@ -43,13 +43,11 @@ from core.app.entities.task_entities import (
WorkflowStartStreamResponse,
)
from core.file import FILE_MODEL_IDENTITY, File
from core.plugin.impl.datasource import PluginDatasourceManager
from core.tools.tool_manager import ToolManager
from core.variables.segments import ArrayFileSegment, FileSegment, Segment
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.datasource.entities import DatasourceNodeData
from core.workflow.nodes.tool.entities import ToolNodeData
from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter
from models import (
@@ -185,14 +183,6 @@ class WorkflowResponseConverter:
provider_type=node_data.provider_type,
provider_id=node_data.provider_id,
)
elif event.node_type == NodeType.DATASOURCE:
node_data = cast(DatasourceNodeData, event.node_data)
manager = PluginDatasourceManager()
provider_entity = manager.fetch_datasource_provider(
self._application_generate_entity.app_config.tenant_id,
f"{node_data.plugin_id}/{node_data.provider_name}",
)
response.data.extras["icon"] = provider_entity.declaration.identity.icon
return response
@@ -124,9 +124,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
)
# get tracing instance
trace_manager = TraceQueueManager(
app_id=app_model.id, user_id=user.id if isinstance(user, Account) else user.session_id
)
trace_manager = TraceQueueManager(app_model.id)
# init application generate entity
application_generate_entity = CompletionAppGenerateEntity(
@@ -6,6 +6,7 @@ from core.app.entities.queue_entities import (
MessageQueueMessage,
QueueAdvancedChatMessageEndEvent,
QueueErrorEvent,
QueueMessage,
QueueMessageEndEvent,
QueueStopEvent,
)
@@ -21,6 +22,15 @@ class MessageBasedAppQueueManager(AppQueueManager):
self._app_mode = app_mode
self._message_id = str(message_id)
def construct_queue_message(self, event: AppQueueEvent) -> QueueMessage:
return MessageQueueMessage(
task_id=self._task_id,
message_id=self._message_id,
conversation_id=self._conversation_id,
app_mode=self._app_mode,
event=event,
)
def _publish(self, event: AppQueueEvent, pub_from: PublishFrom) -> None:
"""
Publish event to queue
@@ -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
@@ -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
@@ -1,812 +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
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
dataset = pipeline.dataset
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:
# run in child thread
context = contextvars.copy_context()
worker_thread = threading.Thread(
target=self._generate,
kwargs={
"flask_app": current_app._get_current_object(), # type: ignore
"context": 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,
},
)
worker_thread.start()
# 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,
)
# 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")
)
dataset = pipeline.dataset
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")
dataset = pipeline.dataset
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["name"]
elif datasource_type == "online_document":
name = datasource_info["page"]["page_name"]
elif datasource_type == "website_crawl":
name = datasource_info["title"]
elif datasource_type == "online_drive":
name = datasource_info["key"]
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", ""),
"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
last_file_key = None
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,
"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
)
@@ -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()
@@ -1,252 +0,0 @@
import logging
from collections.abc import Mapping
from typing import Any, Optional, cast
from configs import dify_config
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.callbacks import WorkflowCallback, WorkflowLoggingCallback
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.graph_engine.entities.event import GraphEngineEvent, GraphRunFailedEvent
from core.workflow.graph_engine.entities.graph import Graph
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, WorkflowType
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()
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, 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,
)
elif self.application_generate_entity.single_loop_run:
# 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,
)
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,
)
# init graph
graph = self._init_rag_pipeline_graph(
graph_config=workflow.graph_dict,
start_node_id=self.application_generate_entity.start_node_id,
)
# RUN WORKFLOW
workflow_entry = WorkflowEntry(
tenant_id=workflow.tenant_id,
app_id=workflow.app_id,
workflow_id=workflow.id,
workflow_type=WorkflowType.value_of(workflow.type),
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,
variable_pool=variable_pool,
thread_pool_id=self.workflow_thread_pool_id,
)
generator = workflow_entry.run(callbacks=workflow_callbacks)
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, graph_config: Mapping[str, Any], start_node_id: Optional[str] = None) -> Graph:
"""
Init pipeline graph
"""
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
graph = Graph.init(graph_config=graph_config)
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()
@@ -711,7 +711,7 @@ class WorkflowAppGenerateTaskPipeline:
# Initialize graph runtime state
graph_runtime_state = None
for queue_message in self._base_task_pipeline.queue_manager.listen():
for queue_message in self._base_task_pipeline._queue_manager.listen():
event = queue_message.event
match event:
@@ -35,7 +35,6 @@ class InvokeFrom(Enum):
# DEBUGGER indicates that this invocation is from
# the workflow (or chatflow) edit page.
DEBUGGER = "debugger"
PUBLISHED = "published"
@classmethod
def value_of(cls, value: str):
@@ -241,38 +240,3 @@ class WorkflowAppGenerateEntity(AppGenerateEntity):
inputs: dict
single_loop_run: Optional[SingleLoopRunEntity] = None
class RagPipelineGenerateEntity(WorkflowAppGenerateEntity):
"""
RAG Pipeline Application Generate Entity.
"""
# pipeline config
pipeline_config: WorkflowUIBasedAppConfig
datasource_type: str
datasource_info: Mapping[str, Any]
dataset_id: str
batch: str
document_id: Optional[str] = None
start_node_id: Optional[str] = None
class SingleIterationRunEntity(BaseModel):
"""
Single Iteration Run Entity.
"""
node_id: str
inputs: dict
single_iteration_run: Optional[SingleIterationRunEntity] = None
class SingleLoopRunEntity(BaseModel):
"""
Single Loop Run Entity.
"""
node_id: str
inputs: dict
single_loop_run: Optional[SingleLoopRunEntity] = None
@@ -37,7 +37,7 @@ class BasedGenerateTaskPipeline:
stream: bool,
) -> None:
self._application_generate_entity = application_generate_entity
self.queue_manager = queue_manager
self._queue_manager = queue_manager
self._start_at = time.perf_counter()
self._output_moderation_handler = self._init_output_moderation()
self._stream = stream
@@ -113,7 +113,7 @@ class BasedGenerateTaskPipeline:
tenant_id=app_config.tenant_id,
app_id=app_config.app_id,
rule=ModerationRule(type=sensitive_word_avoidance.type, config=sensitive_word_avoidance.config),
queue_manager=self.queue_manager,
queue_manager=self._queue_manager,
)
return None
@@ -57,7 +57,6 @@ from core.prompt.utils.prompt_message_util import PromptMessageUtil
from core.prompt.utils.prompt_template_parser import PromptTemplateParser
from events.message_event import message_was_created
from extensions.ext_database import db
from libs.datetime_utils import naive_utc_now
from models.model import AppMode, Conversation, Message, MessageAgentThought
logger = logging.getLogger(__name__)
@@ -258,7 +257,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
Process stream response.
:return:
"""
for message in self.queue_manager.listen():
for message in self._queue_manager.listen():
if publisher:
publisher.publish(message)
event = message.event
@@ -390,7 +389,6 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
if llm_result.message.content
else ""
)
message.updated_at = naive_utc_now()
message.answer_tokens = usage.completion_tokens
message.answer_unit_price = usage.completion_unit_price
message.answer_price_unit = usage.completion_price_unit
@@ -501,7 +499,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
if self._output_moderation_handler.should_direct_output():
# stop subscribe new token when output moderation should direct output
self._task_state.llm_result.message.content = self._output_moderation_handler.get_final_output()
self.queue_manager.publish(
self._queue_manager.publish(
QueueLLMChunkEvent(
chunk=LLMResultChunk(
model=self._task_state.llm_result.model,
@@ -515,7 +513,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
PublishFrom.TASK_PIPELINE,
)
self.queue_manager.publish(
self._queue_manager.publish(
QueueStopEvent(stopped_by=QueueStopEvent.StopBy.OUTPUT_MODERATION), PublishFrom.TASK_PIPELINE
)
return True
@@ -105,14 +105,6 @@ class DifyAgentCallbackHandler(BaseModel):
self.current_loop += 1
def on_datasource_start(self, datasource_name: str, datasource_inputs: Mapping[str, Any]) -> None:
"""Run on datasource start."""
if dify_config.DEBUG:
print_text(
"\n[on_datasource_start] DatasourceCall:" + datasource_name + "\n" + str(datasource_inputs) + "\n",
color=self.color,
)
@property
def ignore_agent(self) -> bool:
"""Whether to ignore agent callbacks."""
@@ -1,33 +0,0 @@
from abc import ABC, abstractmethod
from core.datasource.__base.datasource_runtime import DatasourceRuntime
from core.datasource.entities.datasource_entities import (
DatasourceEntity,
DatasourceProviderType,
)
class DatasourcePlugin(ABC):
entity: DatasourceEntity
runtime: DatasourceRuntime
def __init__(
self,
entity: DatasourceEntity,
runtime: DatasourceRuntime,
) -> None:
self.entity = entity
self.runtime = runtime
@abstractmethod
def datasource_provider_type(self) -> str:
"""
returns the type of the datasource provider
"""
return DatasourceProviderType.LOCAL_FILE
def fork_datasource_runtime(self, runtime: DatasourceRuntime) -> "DatasourcePlugin":
return self.__class__(
entity=self.entity.model_copy(),
runtime=runtime,
)
@@ -1,118 +0,0 @@
from abc import ABC, abstractmethod
from typing import Any
from core.datasource.__base.datasource_plugin import DatasourcePlugin
from core.datasource.entities.datasource_entities import DatasourceProviderEntityWithPlugin, DatasourceProviderType
from core.entities.provider_entities import ProviderConfig
from core.plugin.impl.tool import PluginToolManager
from core.tools.errors import ToolProviderCredentialValidationError
class DatasourcePluginProviderController(ABC):
entity: DatasourceProviderEntityWithPlugin
tenant_id: str
def __init__(self, entity: DatasourceProviderEntityWithPlugin, tenant_id: str) -> None:
self.entity = entity
self.tenant_id = tenant_id
@property
def need_credentials(self) -> bool:
"""
returns whether the provider needs credentials
:return: whether the provider needs credentials
"""
return self.entity.credentials_schema is not None and len(self.entity.credentials_schema) != 0
def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
"""
validate the credentials of the provider
"""
manager = PluginToolManager()
if not manager.validate_datasource_credentials(
tenant_id=self.tenant_id,
user_id=user_id,
provider=self.entity.identity.name,
credentials=credentials,
):
raise ToolProviderCredentialValidationError("Invalid credentials")
@property
def provider_type(self) -> DatasourceProviderType:
"""
returns the type of the provider
"""
return DatasourceProviderType.LOCAL_FILE
@abstractmethod
def get_datasource(self, datasource_name: str) -> DatasourcePlugin:
"""
return datasource with given name
"""
pass
def validate_credentials_format(self, credentials: dict[str, Any]) -> None:
"""
validate the format of the credentials of the provider and set the default value if needed
:param credentials: the credentials of the tool
"""
credentials_schema = dict[str, ProviderConfig]()
if credentials_schema is None:
return
for credential in self.entity.credentials_schema:
credentials_schema[credential.name] = credential
credentials_need_to_validate: dict[str, ProviderConfig] = {}
for credential_name in credentials_schema:
credentials_need_to_validate[credential_name] = credentials_schema[credential_name]
for credential_name in credentials:
if credential_name not in credentials_need_to_validate:
raise ToolProviderCredentialValidationError(
f"credential {credential_name} not found in provider {self.entity.identity.name}"
)
# check type
credential_schema = credentials_need_to_validate[credential_name]
if not credential_schema.required and credentials[credential_name] is None:
continue
if credential_schema.type in {ProviderConfig.Type.SECRET_INPUT, ProviderConfig.Type.TEXT_INPUT}:
if not isinstance(credentials[credential_name], str):
raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
elif credential_schema.type == ProviderConfig.Type.SELECT:
if not isinstance(credentials[credential_name], str):
raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
options = credential_schema.options
if not isinstance(options, list):
raise ToolProviderCredentialValidationError(f"credential {credential_name} options should be list")
if credentials[credential_name] not in [x.value for x in options]:
raise ToolProviderCredentialValidationError(
f"credential {credential_name} should be one of {options}"
)
credentials_need_to_validate.pop(credential_name)
for credential_name in credentials_need_to_validate:
credential_schema = credentials_need_to_validate[credential_name]
if credential_schema.required:
raise ToolProviderCredentialValidationError(f"credential {credential_name} is required")
# the credential is not set currently, set the default value if needed
if credential_schema.default is not None:
default_value = credential_schema.default
# parse default value into the correct type
if credential_schema.type in {
ProviderConfig.Type.SECRET_INPUT,
ProviderConfig.Type.TEXT_INPUT,
ProviderConfig.Type.SELECT,
}:
default_value = str(default_value)
credentials[credential_name] = default_value
@@ -1,36 +0,0 @@
from typing import Any, Optional
from openai import BaseModel
from pydantic import Field
from core.app.entities.app_invoke_entities import InvokeFrom
from core.datasource.entities.datasource_entities import DatasourceInvokeFrom
class DatasourceRuntime(BaseModel):
"""
Meta data of a datasource call processing
"""
tenant_id: str
datasource_id: Optional[str] = None
invoke_from: Optional[InvokeFrom] = None
datasource_invoke_from: Optional[DatasourceInvokeFrom] = None
credentials: dict[str, Any] = Field(default_factory=dict)
runtime_parameters: dict[str, Any] = Field(default_factory=dict)
class FakeDatasourceRuntime(DatasourceRuntime):
"""
Fake datasource runtime for testing
"""
def __init__(self):
super().__init__(
tenant_id="fake_tenant_id",
datasource_id="fake_datasource_id",
invoke_from=InvokeFrom.DEBUGGER,
datasource_invoke_from=DatasourceInvokeFrom.RAG_PIPELINE,
credentials={},
runtime_parameters={},
)
@@ -1,247 +0,0 @@
import base64
import hashlib
import hmac
import logging
import os
import time
from datetime import datetime
from mimetypes import guess_extension, guess_type
from typing import Optional, Union
from uuid import uuid4
import httpx
from configs import dify_config
from core.helper import ssrf_proxy
from extensions.ext_database import db
from extensions.ext_storage import storage
from models.enums import CreatorUserRole
from models.model import MessageFile, UploadFile
from models.tools import ToolFile
logger = logging.getLogger(__name__)
class DatasourceFileManager:
@staticmethod
def sign_file(datasource_file_id: str, extension: str) -> str:
"""
sign file to get a temporary url
"""
base_url = dify_config.FILES_URL
file_preview_url = f"{base_url}/files/datasources/{datasource_file_id}{extension}"
timestamp = str(int(time.time()))
nonce = os.urandom(16).hex()
data_to_sign = f"file-preview|{datasource_file_id}|{timestamp}|{nonce}"
secret_key = dify_config.SECRET_KEY.encode() if dify_config.SECRET_KEY else b""
sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
encoded_sign = base64.urlsafe_b64encode(sign).decode()
return f"{file_preview_url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}"
@staticmethod
def verify_file(datasource_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
"""
verify signature
"""
data_to_sign = f"file-preview|{datasource_file_id}|{timestamp}|{nonce}"
secret_key = dify_config.SECRET_KEY.encode() if dify_config.SECRET_KEY else b""
recalculated_sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
recalculated_encoded_sign = base64.urlsafe_b64encode(recalculated_sign).decode()
# verify signature
if sign != recalculated_encoded_sign:
return False
current_time = int(time.time())
return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT
@staticmethod
def create_file_by_raw(
*,
user_id: str,
tenant_id: str,
conversation_id: Optional[str],
file_binary: bytes,
mimetype: str,
filename: Optional[str] = None,
) -> UploadFile:
extension = guess_extension(mimetype) or ".bin"
unique_name = uuid4().hex
unique_filename = f"{unique_name}{extension}"
# default just as before
present_filename = unique_filename
if filename is not None:
has_extension = len(filename.split(".")) > 1
# Add extension flexibly
present_filename = filename if has_extension else f"{filename}{extension}"
filepath = f"datasources/{tenant_id}/{unique_filename}"
storage.save(filepath, file_binary)
upload_file = UploadFile(
tenant_id=tenant_id,
storage_type=dify_config.STORAGE_TYPE,
key=filepath,
name=present_filename,
size=len(file_binary),
extension=extension,
mime_type=mimetype,
created_by_role=CreatorUserRole.ACCOUNT,
created_by=user_id,
used=False,
hash=hashlib.sha3_256(file_binary).hexdigest(),
source_url="",
created_at=datetime.now(),
)
db.session.add(upload_file)
db.session.commit()
db.session.refresh(upload_file)
return upload_file
@staticmethod
def create_file_by_url(
user_id: str,
tenant_id: str,
file_url: str,
conversation_id: Optional[str] = None,
) -> UploadFile:
# try to download image
try:
response = ssrf_proxy.get(file_url)
response.raise_for_status()
blob = response.content
except httpx.TimeoutException:
raise ValueError(f"timeout when downloading file from {file_url}")
mimetype = (
guess_type(file_url)[0]
or response.headers.get("Content-Type", "").split(";")[0].strip()
or "application/octet-stream"
)
extension = guess_extension(mimetype) or ".bin"
unique_name = uuid4().hex
filename = f"{unique_name}{extension}"
filepath = f"tools/{tenant_id}/{filename}"
storage.save(filepath, blob)
upload_file = UploadFile(
tenant_id=tenant_id,
storage_type=dify_config.STORAGE_TYPE,
key=filepath,
name=filename,
size=len(blob),
extension=extension,
mime_type=mimetype,
created_by_role=CreatorUserRole.ACCOUNT,
created_by=user_id,
used=False,
hash=hashlib.sha3_256(blob).hexdigest(),
source_url=file_url,
created_at=datetime.now(),
)
db.session.add(upload_file)
db.session.commit()
return upload_file
@staticmethod
def get_file_binary(id: str) -> Union[tuple[bytes, str], None]:
"""
get file binary
:param id: the id of the file
:return: the binary of the file, mime type
"""
upload_file: UploadFile | None = (
db.session.query(UploadFile)
.filter(
UploadFile.id == id,
)
.first()
)
if not upload_file:
return None
blob = storage.load_once(upload_file.key)
return blob, upload_file.mime_type
@staticmethod
def get_file_binary_by_message_file_id(id: str) -> Union[tuple[bytes, str], None]:
"""
get file binary
:param id: the id of the file
:return: the binary of the file, mime type
"""
message_file: MessageFile | None = (
db.session.query(MessageFile)
.filter(
MessageFile.id == id,
)
.first()
)
# Check if message_file is not None
if message_file is not None:
# get tool file id
if message_file.url is not None:
tool_file_id = message_file.url.split("/")[-1]
# trim extension
tool_file_id = tool_file_id.split(".")[0]
else:
tool_file_id = None
else:
tool_file_id = None
tool_file: ToolFile | None = (
db.session.query(ToolFile)
.filter(
ToolFile.id == tool_file_id,
)
.first()
)
if not tool_file:
return None
blob = storage.load_once(tool_file.file_key)
return blob, tool_file.mimetype
@staticmethod
def get_file_generator_by_upload_file_id(upload_file_id: str):
"""
get file binary
:param tool_file_id: the id of the tool file
:return: the binary of the file, mime type
"""
upload_file: UploadFile | None = (
db.session.query(UploadFile)
.filter(
UploadFile.id == upload_file_id,
)
.first()
)
if not upload_file:
return None, None
stream = storage.load_stream(upload_file.key)
return stream, upload_file.mime_type
# init tool_file_parser
# from core.file.datasource_file_parser import datasource_file_manager
#
# datasource_file_manager["manager"] = DatasourceFileManager
-108
View File
@@ -1,108 +0,0 @@
import logging
from threading import Lock
from typing import Union
import contexts
from core.datasource.__base.datasource_plugin import DatasourcePlugin
from core.datasource.__base.datasource_provider import DatasourcePluginProviderController
from core.datasource.entities.common_entities import I18nObject
from core.datasource.entities.datasource_entities import DatasourceProviderType
from core.datasource.errors import DatasourceProviderNotFoundError
from core.datasource.local_file.local_file_provider import LocalFileDatasourcePluginProviderController
from core.datasource.online_document.online_document_provider import OnlineDocumentDatasourcePluginProviderController
from core.datasource.online_drive.online_drive_provider import OnlineDriveDatasourcePluginProviderController
from core.datasource.website_crawl.website_crawl_provider import WebsiteCrawlDatasourcePluginProviderController
from core.plugin.impl.datasource import PluginDatasourceManager
logger = logging.getLogger(__name__)
class DatasourceManager:
_builtin_provider_lock = Lock()
_hardcoded_providers: dict[str, DatasourcePluginProviderController] = {}
_builtin_providers_loaded = False
_builtin_tools_labels: dict[str, Union[I18nObject, None]] = {}
@classmethod
def get_datasource_plugin_provider(
cls, provider_id: str, tenant_id: str, datasource_type: DatasourceProviderType
) -> DatasourcePluginProviderController:
"""
get the datasource plugin provider
"""
# check if context is set
try:
contexts.datasource_plugin_providers.get()
except LookupError:
contexts.datasource_plugin_providers.set({})
contexts.datasource_plugin_providers_lock.set(Lock())
with contexts.datasource_plugin_providers_lock.get():
datasource_plugin_providers = contexts.datasource_plugin_providers.get()
if provider_id in datasource_plugin_providers:
return datasource_plugin_providers[provider_id]
manager = PluginDatasourceManager()
provider_entity = manager.fetch_datasource_provider(tenant_id, provider_id)
if not provider_entity:
raise DatasourceProviderNotFoundError(f"plugin provider {provider_id} not found")
match datasource_type:
case DatasourceProviderType.ONLINE_DOCUMENT:
controller = OnlineDocumentDatasourcePluginProviderController(
entity=provider_entity.declaration,
plugin_id=provider_entity.plugin_id,
plugin_unique_identifier=provider_entity.plugin_unique_identifier,
tenant_id=tenant_id,
)
case DatasourceProviderType.ONLINE_DRIVE:
controller = OnlineDriveDatasourcePluginProviderController(
entity=provider_entity.declaration,
plugin_id=provider_entity.plugin_id,
plugin_unique_identifier=provider_entity.plugin_unique_identifier,
tenant_id=tenant_id,
)
case DatasourceProviderType.WEBSITE_CRAWL:
controller = WebsiteCrawlDatasourcePluginProviderController(
entity=provider_entity.declaration,
plugin_id=provider_entity.plugin_id,
plugin_unique_identifier=provider_entity.plugin_unique_identifier,
tenant_id=tenant_id,
)
case DatasourceProviderType.LOCAL_FILE:
controller = LocalFileDatasourcePluginProviderController(
entity=provider_entity.declaration,
plugin_id=provider_entity.plugin_id,
plugin_unique_identifier=provider_entity.plugin_unique_identifier,
tenant_id=tenant_id,
)
case _:
raise ValueError(f"Unsupported datasource type: {datasource_type}")
datasource_plugin_providers[provider_id] = controller
return controller
@classmethod
def get_datasource_runtime(
cls,
provider_id: str,
datasource_name: str,
tenant_id: str,
datasource_type: DatasourceProviderType,
) -> DatasourcePlugin:
"""
get the datasource runtime
:param provider_type: the type of the provider
:param provider_id: the id of the provider
:param datasource_name: the name of the datasource
:param tenant_id: the tenant id
:return: the datasource plugin
"""
return cls.get_datasource_plugin_provider(
provider_id,
tenant_id,
datasource_type,
).get_datasource(datasource_name)
@@ -1,71 +0,0 @@
from typing import Literal, Optional
from pydantic import BaseModel, Field, field_validator
from core.datasource.entities.datasource_entities import DatasourceParameter
from core.model_runtime.utils.encoders import jsonable_encoder
from core.tools.entities.common_entities import I18nObject
class DatasourceApiEntity(BaseModel):
author: str
name: str # identifier
label: I18nObject # label
description: I18nObject
parameters: Optional[list[DatasourceParameter]] = None
labels: list[str] = Field(default_factory=list)
output_schema: Optional[dict] = None
ToolProviderTypeApiLiteral = Optional[Literal["builtin", "api", "workflow"]]
class DatasourceProviderApiEntity(BaseModel):
id: str
author: str
name: str # identifier
description: I18nObject
icon: str | dict
label: I18nObject # label
type: str
masked_credentials: Optional[dict] = None
original_credentials: Optional[dict] = None
is_team_authorization: bool = False
allow_delete: bool = True
plugin_id: Optional[str] = Field(default="", description="The plugin id of the datasource")
plugin_unique_identifier: Optional[str] = Field(default="", description="The unique identifier of the datasource")
datasources: list[DatasourceApiEntity] = Field(default_factory=list)
labels: list[str] = Field(default_factory=list)
@field_validator("datasources", mode="before")
@classmethod
def convert_none_to_empty_list(cls, v):
return v if v is not None else []
def to_dict(self) -> dict:
# -------------
# overwrite datasource parameter types for temp fix
datasources = jsonable_encoder(self.datasources)
for datasource in datasources:
if datasource.get("parameters"):
for parameter in datasource.get("parameters"):
if parameter.get("type") == DatasourceParameter.DatasourceParameterType.SYSTEM_FILES.value:
parameter["type"] = "files"
# -------------
return {
"id": self.id,
"author": self.author,
"name": self.name,
"plugin_id": self.plugin_id,
"plugin_unique_identifier": self.plugin_unique_identifier,
"description": self.description.to_dict(),
"icon": self.icon,
"label": self.label.to_dict(),
"type": self.type.value,
"team_credentials": self.masked_credentials,
"is_team_authorization": self.is_team_authorization,
"allow_delete": self.allow_delete,
"datasources": datasources,
"labels": self.labels,
}
@@ -1,23 +0,0 @@
from typing import Optional
from pydantic import BaseModel, Field
class I18nObject(BaseModel):
"""
Model class for i18n object.
"""
en_US: str
zh_Hans: Optional[str] = Field(default=None)
pt_BR: Optional[str] = Field(default=None)
ja_JP: Optional[str] = Field(default=None)
def __init__(self, **data):
super().__init__(**data)
self.zh_Hans = self.zh_Hans or self.en_US
self.pt_BR = self.pt_BR or self.en_US
self.ja_JP = self.ja_JP or self.en_US
def to_dict(self) -> dict:
return {"zh_Hans": self.zh_Hans, "en_US": self.en_US, "pt_BR": self.pt_BR, "ja_JP": self.ja_JP}
@@ -1,363 +0,0 @@
import enum
from enum import Enum
from typing import Any, Optional
from pydantic import BaseModel, Field, ValidationInfo, field_validator
from core.entities.provider_entities import ProviderConfig
from core.plugin.entities.oauth import OAuthSchema
from core.plugin.entities.parameters import (
PluginParameter,
PluginParameterOption,
PluginParameterType,
as_normal_type,
cast_parameter_value,
init_frontend_parameter,
)
from core.tools.entities.common_entities import I18nObject
from core.tools.entities.tool_entities import ToolInvokeMessage, ToolLabelEnum
class DatasourceProviderType(enum.StrEnum):
"""
Enum class for datasource provider
"""
ONLINE_DOCUMENT = "online_document"
LOCAL_FILE = "local_file"
WEBSITE_CRAWL = "website_crawl"
ONLINE_DRIVE = "online_drive"
@classmethod
def value_of(cls, value: str) -> "DatasourceProviderType":
"""
Get value of given mode.
:param value: mode value
:return: mode
"""
for mode in cls:
if mode.value == value:
return mode
raise ValueError(f"invalid mode value {value}")
class DatasourceParameter(PluginParameter):
"""
Overrides type
"""
class DatasourceParameterType(enum.StrEnum):
"""
removes TOOLS_SELECTOR from PluginParameterType
"""
STRING = PluginParameterType.STRING.value
NUMBER = PluginParameterType.NUMBER.value
BOOLEAN = PluginParameterType.BOOLEAN.value
SELECT = PluginParameterType.SELECT.value
SECRET_INPUT = PluginParameterType.SECRET_INPUT.value
FILE = PluginParameterType.FILE.value
FILES = PluginParameterType.FILES.value
# deprecated, should not use.
SYSTEM_FILES = PluginParameterType.SYSTEM_FILES.value
def as_normal_type(self):
return as_normal_type(self)
def cast_value(self, value: Any):
return cast_parameter_value(self, value)
type: DatasourceParameterType = Field(..., description="The type of the parameter")
description: I18nObject = Field(..., description="The description of the parameter")
@classmethod
def get_simple_instance(
cls,
name: str,
typ: DatasourceParameterType,
required: bool,
options: Optional[list[str]] = None,
) -> "DatasourceParameter":
"""
get a simple datasource parameter
:param name: the name of the parameter
:param llm_description: the description presented to the LLM
:param typ: the type of the parameter
:param required: if the parameter is required
:param options: the options of the parameter
"""
# convert options to ToolParameterOption
# FIXME fix the type error
if options:
option_objs = [
PluginParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option))
for option in options
]
else:
option_objs = []
return cls(
name=name,
label=I18nObject(en_US="", zh_Hans=""),
placeholder=None,
type=typ,
required=required,
options=option_objs,
description=I18nObject(en_US="", zh_Hans=""),
)
def init_frontend_parameter(self, value: Any):
return init_frontend_parameter(self, self.type, value)
class DatasourceIdentity(BaseModel):
author: str = Field(..., description="The author of the datasource")
name: str = Field(..., description="The name of the datasource")
label: I18nObject = Field(..., description="The label of the datasource")
provider: str = Field(..., description="The provider of the datasource")
icon: Optional[str] = None
class DatasourceEntity(BaseModel):
identity: DatasourceIdentity
parameters: list[DatasourceParameter] = Field(default_factory=list)
description: I18nObject = Field(..., description="The label of the datasource")
output_schema: Optional[dict] = None
@field_validator("parameters", mode="before")
@classmethod
def set_parameters(cls, v, validation_info: ValidationInfo) -> list[DatasourceParameter]:
return v or []
class DatasourceProviderIdentity(BaseModel):
author: str = Field(..., description="The author of the tool")
name: str = Field(..., description="The name of the tool")
description: I18nObject = Field(..., description="The description of the tool")
icon: str = Field(..., description="The icon of the tool")
label: I18nObject = Field(..., description="The label of the tool")
tags: Optional[list[ToolLabelEnum]] = Field(
default=[],
description="The tags of the tool",
)
class DatasourceProviderEntity(BaseModel):
"""
Datasource provider entity
"""
identity: DatasourceProviderIdentity
credentials_schema: list[ProviderConfig] = Field(default_factory=list)
oauth_schema: Optional[OAuthSchema] = None
provider_type: DatasourceProviderType
class DatasourceProviderEntityWithPlugin(DatasourceProviderEntity):
datasources: list[DatasourceEntity] = Field(default_factory=list)
class DatasourceInvokeMeta(BaseModel):
"""
Datasource invoke meta
"""
time_cost: float = Field(..., description="The time cost of the tool invoke")
error: Optional[str] = None
tool_config: Optional[dict] = None
@classmethod
def empty(cls) -> "DatasourceInvokeMeta":
"""
Get an empty instance of DatasourceInvokeMeta
"""
return cls(time_cost=0.0, error=None, tool_config={})
@classmethod
def error_instance(cls, error: str) -> "DatasourceInvokeMeta":
"""
Get an instance of DatasourceInvokeMeta with error
"""
return cls(time_cost=0.0, error=error, tool_config={})
def to_dict(self) -> dict:
return {
"time_cost": self.time_cost,
"error": self.error,
"tool_config": self.tool_config,
}
class DatasourceLabel(BaseModel):
"""
Datasource label
"""
name: str = Field(..., description="The name of the tool")
label: I18nObject = Field(..., description="The label of the tool")
icon: str = Field(..., description="The icon of the tool")
class DatasourceInvokeFrom(Enum):
"""
Enum class for datasource invoke
"""
RAG_PIPELINE = "rag_pipeline"
class OnlineDocumentPage(BaseModel):
"""
Online document page
"""
page_id: str = Field(..., description="The page id")
page_name: str = Field(..., description="The page title")
page_icon: Optional[dict] = Field(None, description="The page icon")
type: str = Field(..., description="The type of the page")
last_edited_time: str = Field(..., description="The last edited time")
parent_id: Optional[str] = Field(None, description="The parent page id")
class OnlineDocumentInfo(BaseModel):
"""
Online document info
"""
workspace_id: Optional[str] = Field(None, description="The workspace id")
workspace_name: Optional[str] = Field(None, description="The workspace name")
workspace_icon: Optional[str] = Field(None, description="The workspace icon")
total: int = Field(..., description="The total number of documents")
pages: list[OnlineDocumentPage] = Field(..., description="The pages of the online document")
class OnlineDocumentPagesMessage(BaseModel):
"""
Get online document pages response
"""
result: list[OnlineDocumentInfo]
class GetOnlineDocumentPageContentRequest(BaseModel):
"""
Get online document page content request
"""
workspace_id: str = Field(..., description="The workspace id")
page_id: str = Field(..., description="The page id")
type: str = Field(..., description="The type of the page")
class OnlineDocumentPageContent(BaseModel):
"""
Online document page content
"""
workspace_id: str = Field(..., description="The workspace id")
page_id: str = Field(..., description="The page id")
content: str = Field(..., description="The content of the page")
class GetOnlineDocumentPageContentResponse(BaseModel):
"""
Get online document page content response
"""
result: OnlineDocumentPageContent
class GetWebsiteCrawlRequest(BaseModel):
"""
Get website crawl request
"""
crawl_parameters: dict = Field(..., description="The crawl parameters")
class WebSiteInfoDetail(BaseModel):
source_url: str = Field(..., description="The url of the website")
content: str = Field(..., description="The content of the website")
title: str = Field(..., description="The title of the website")
description: str = Field(..., description="The description of the website")
class WebSiteInfo(BaseModel):
"""
Website info
"""
status: Optional[str] = Field(..., description="crawl job status")
web_info_list: Optional[list[WebSiteInfoDetail]] = []
total: Optional[int] = Field(default=0, description="The total number of websites")
completed: Optional[int] = Field(default=0, description="The number of completed websites")
class WebsiteCrawlMessage(BaseModel):
"""
Get website crawl response
"""
result: WebSiteInfo = WebSiteInfo(status="", web_info_list=[], total=0, completed=0)
class DatasourceMessage(ToolInvokeMessage):
pass
#########################
# Online drive file
#########################
class OnlineDriveFile(BaseModel):
"""
Online drive file
"""
id: str = Field(..., description="The file ID")
name: str = Field(..., description="The file name")
size: int = Field(..., description="The file size")
type: str = Field(..., description="The file type: folder or file")
class OnlineDriveFileBucket(BaseModel):
"""
Online drive file bucket
"""
bucket: Optional[str] = Field(None, description="The file bucket")
files: list[OnlineDriveFile] = Field(..., description="The file list")
is_truncated: bool = Field(False, description="Whether the result is truncated")
next_page_parameters: Optional[dict] = Field(None, description="Parameters for fetching the next page")
class OnlineDriveBrowseFilesRequest(BaseModel):
"""
Get online drive file list request
"""
bucket: Optional[str] = Field(None, description="The file bucket")
prefix: str = Field(..., description="The parent folder ID")
max_keys: int = Field(20, description="Page size for pagination")
next_page_parameters: Optional[dict] = Field(None, description="Parameters for fetching the next page")
class OnlineDriveBrowseFilesResponse(BaseModel):
"""
Get online drive file list response
"""
result: list[OnlineDriveFileBucket] = Field(..., description="The list of file buckets")
class OnlineDriveDownloadFileRequest(BaseModel):
"""
Get online drive file
"""
id: str = Field(..., description="The id of the file")
bucket: Optional[str] = Field(None, description="The name of the bucket")
-37
View File
@@ -1,37 +0,0 @@
from core.datasource.entities.datasource_entities import DatasourceInvokeMeta
class DatasourceProviderNotFoundError(ValueError):
pass
class DatasourceNotFoundError(ValueError):
pass
class DatasourceParameterValidationError(ValueError):
pass
class DatasourceProviderCredentialValidationError(ValueError):
pass
class DatasourceNotSupportedError(ValueError):
pass
class DatasourceInvokeError(ValueError):
pass
class DatasourceApiSchemaError(ValueError):
pass
class DatasourceEngineInvokeError(Exception):
meta: DatasourceInvokeMeta
def __init__(self, meta, **kwargs):
self.meta = meta
super().__init__(**kwargs)
@@ -1,28 +0,0 @@
from core.datasource.__base.datasource_plugin import DatasourcePlugin
from core.datasource.__base.datasource_runtime import DatasourceRuntime
from core.datasource.entities.datasource_entities import (
DatasourceEntity,
DatasourceProviderType,
)
class LocalFileDatasourcePlugin(DatasourcePlugin):
tenant_id: str
icon: str
plugin_unique_identifier: str
def __init__(
self,
entity: DatasourceEntity,
runtime: DatasourceRuntime,
tenant_id: str,
icon: str,
plugin_unique_identifier: str,
) -> None:
super().__init__(entity, runtime)
self.tenant_id = tenant_id
self.icon = icon
self.plugin_unique_identifier = plugin_unique_identifier
def datasource_provider_type(self) -> str:
return DatasourceProviderType.LOCAL_FILE
@@ -1,56 +0,0 @@
from typing import Any
from core.datasource.__base.datasource_provider import DatasourcePluginProviderController
from core.datasource.__base.datasource_runtime import DatasourceRuntime
from core.datasource.entities.datasource_entities import DatasourceProviderEntityWithPlugin, DatasourceProviderType
from core.datasource.local_file.local_file_plugin import LocalFileDatasourcePlugin
class LocalFileDatasourcePluginProviderController(DatasourcePluginProviderController):
entity: DatasourceProviderEntityWithPlugin
plugin_id: str
plugin_unique_identifier: str
def __init__(
self, entity: DatasourceProviderEntityWithPlugin, plugin_id: str, plugin_unique_identifier: str, tenant_id: str
) -> None:
super().__init__(entity, tenant_id)
self.plugin_id = plugin_id
self.plugin_unique_identifier = plugin_unique_identifier
@property
def provider_type(self) -> DatasourceProviderType:
"""
returns the type of the provider
"""
return DatasourceProviderType.LOCAL_FILE
def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
"""
validate the credentials of the provider
"""
pass
def get_datasource(self, datasource_name: str) -> LocalFileDatasourcePlugin: # type: ignore
"""
return datasource with given name
"""
datasource_entity = next(
(
datasource_entity
for datasource_entity in self.entity.datasources
if datasource_entity.identity.name == datasource_name
),
None,
)
if not datasource_entity:
raise ValueError(f"Datasource with name {datasource_name} not found")
return LocalFileDatasourcePlugin(
entity=datasource_entity,
runtime=DatasourceRuntime(tenant_id=self.tenant_id),
tenant_id=self.tenant_id,
icon=self.entity.identity.icon,
plugin_unique_identifier=self.plugin_unique_identifier,
)

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