This commit is contained in:
Joel
2025-06-23 14:54:30 +08:00
1158 changed files with 37363 additions and 13240 deletions

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@ -1,5 +1,4 @@
FROM mcr.microsoft.com/devcontainers/python:3.12
# [Optional] Uncomment this section to install additional OS packages.
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
# && apt-get -y install --no-install-recommends <your-package-list-here>
RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
&& apt-get -y install libgmp-dev libmpfr-dev libmpc-dev

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@ -1,12 +1,13 @@
#!/bin/bash
npm add -g pnpm@10.8.0
npm add -g pnpm@10.11.1
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"' >> ~/.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
echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down"' >> ~/.bashrc

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@ -8,7 +8,7 @@ inputs:
uv-version:
description: UV version to set up
required: true
default: '0.6.14'
default: '~=0.7.11'
uv-lockfile:
description: Path to the UV lockfile to restore cache from
required: true

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@ -1,25 +1,23 @@
# Summary
> [!IMPORTANT]
>
> 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)
> 2. Ensure there is an associated issue and you have been assigned to it
> 3. Use the correct syntax to link this PR: `Fixes #<issue number>`.
Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
## Summary
> [!Tip]
> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
<!-- Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. -->
# Screenshots
## Screenshots
| Before | After |
|--------|-------|
| ... | ... |
# Checklist
> [!IMPORTANT]
> Please review the checklist below before submitting your pull request.
## Checklist
- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
- [x] I've updated the documentation accordingly.
- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods

28
.github/workflows/deploy-rag-dev.yml vendored Normal file
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@ -0,0 +1,28 @@
name: Deploy RAG Dev
permissions:
contents: read
on:
workflow_run:
workflows: ["Build and Push API & Web"]
branches:
- "deploy/rag-dev"
types:
- completed
jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.head_branch == 'deploy/rag-dev'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.RAG_SSH_HOST }}
username: ${{ secrets.SSH_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
script: |
${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}

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@ -10,6 +10,7 @@ yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-com
yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
yq eval '.services.oceanbase.ports += ["2881:2881"]' -i docker/docker-compose.yaml
yq eval '.services.opengauss.ports += ["6600:6600"]' -i docker/docker-compose.yaml
echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase, opengauss"

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@ -139,6 +139,7 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files

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@ -31,11 +31,19 @@ jobs:
echo "FILES_CHANGED=false" >> $GITHUB_ENV
fi
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 10
run_install: false
- name: Set up Node.js
if: env.FILES_CHANGED == 'true'
uses: actions/setup-node@v4
with:
node-version: 'lts/*'
cache: pnpm
cache-dependency-path: ./web/package.json
- name: Install dependencies
if: env.FILES_CHANGED == 'true'

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@ -31,6 +31,13 @@ jobs:
with:
persist-credentials: false
- name: Free Disk Space
uses: endersonmenezes/free-disk-space@v2
with:
remove_dotnet: true
remove_haskell: true
remove_tool_cache: true
- name: Setup UV and Python
uses: ./.github/actions/setup-uv
with:
@ -59,7 +66,7 @@ jobs:
tidb
tiflash
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase, OceanBase)
uses: hoverkraft-tech/compose-action@v2.0.2
with:
compose-file: |
@ -75,8 +82,9 @@ jobs:
pgvector
chroma
elasticsearch
oceanbase
- name: Check TiDB Ready
- name: Check VDB Ready (TiDB)
run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
- name: Test Vector Stores

11
.gitignore vendored
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@ -179,6 +179,7 @@ docker/volumes/pgvecto_rs/data/*
docker/volumes/couchbase/*
docker/volumes/oceanbase/*
docker/volumes/plugin_daemon/*
docker/volumes/matrixone/*
!docker/volumes/oceanbase/init.d
docker/nginx/conf.d/default.conf
@ -192,12 +193,12 @@ sdks/python-client/dist
sdks/python-client/dify_client.egg-info
.vscode/*
!.vscode/launch.json
!.vscode/launch.json.template
!.vscode/README.md
pyrightconfig.json
api/.vscode
.idea/
.vscode
# pnpm
/.pnpm-store
@ -207,3 +208,9 @@ plugins.jsonl
# mise
mise.toml
# Next.js build output
.next/
# AI Assistant
.roo/

14
.vscode/README.md vendored Normal file
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@ -0,0 +1,14 @@
# Debugging with VS Code
This `launch.json.template` file provides various debug configurations for the Dify project within VS Code / Cursor. To use these configurations, you should copy the contents of this file into a new file named `launch.json` in the same `.vscode` directory.
## How to Use
1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
2. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
3. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
4. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
## Tips
- If you need to debug with Edge browser instead of Chrome, modify the `serverReadyAction` configuration in the "Next.js: debug full stack" section, change `"debugWithChrome"` to `"debugWithEdge"` to use Microsoft Edge for debugging.

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.vscode/launch.json.template vendored Normal file
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@ -0,0 +1,68 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "Python: Flask API",
"type": "debugpy",
"request": "launch",
"module": "flask",
"env": {
"FLASK_APP": "app.py",
"FLASK_ENV": "development",
"GEVENT_SUPPORT": "True"
},
"args": [
"run",
"--host=0.0.0.0",
"--port=5001",
"--no-debugger",
"--no-reload"
],
"jinja": true,
"justMyCode": true,
"cwd": "${workspaceFolder}/api",
"python": "${workspaceFolder}/api/.venv/bin/python"
},
{
"name": "Python: Celery Worker (Solo)",
"type": "debugpy",
"request": "launch",
"module": "celery",
"env": {
"GEVENT_SUPPORT": "True"
},
"args": [
"-A",
"app.celery",
"worker",
"-P",
"solo",
"-c",
"1",
"-Q",
"dataset,generation,mail,ops_trace",
"--loglevel",
"INFO"
],
"justMyCode": false,
"cwd": "${workspaceFolder}/api",
"python": "${workspaceFolder}/api/.venv/bin/python"
},
{
"name": "Next.js: debug full stack",
"type": "node",
"request": "launch",
"program": "${workspaceFolder}/web/node_modules/next/dist/bin/next",
"runtimeArgs": ["--inspect"],
"skipFiles": ["<node_internals>/**"],
"serverReadyAction": {
"action": "debugWithChrome",
"killOnServerStop": true,
"pattern": "- Local:.+(https?://.+)",
"uriFormat": "%s",
"webRoot": "${workspaceFolder}/web"
},
"cwd": "${workspaceFolder}/web"
}
]
}

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a>
@ -87,8 +87,6 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
@ -228,6 +226,11 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Using Alibaba Cloud Computing Nest
Quickly deploy Dify to Alibaba cloud with [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)
## Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
@ -237,7 +240,7 @@ At the same time, please consider supporting Dify by sharing it on social media
## Community & contact
- [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -54,8 +54,6 @@
**1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
<https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa>
**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
@ -211,6 +209,9 @@ docker compose up -d
- [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)
## المساهمة
لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا.
@ -225,7 +226,7 @@ docker compose up -d
</a>
## المجتمع والاتصال
- [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
- [مناقشة GitHub](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
- [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
- [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">ডিফাই ওয়ার্কফ্লো ফাইল আপলোড পরিচিতি: গুগল নোটবুক-এলএম পডকাস্ট পুনর্নির্মাণ</a>
@ -84,8 +84,6 @@ docker compose up -d
**১. ওয়ার্কফ্লো**:
ভিজ্যুয়াল ক্যানভাসে AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং তার বাইরেও আরও অনেক কিছু ব্যবহার করে।
<https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa>
**২. মডেল সাপোর্ট**:
GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/readme/model-providers)।
@ -227,6 +225,11 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
#### Alibaba Cloud ব্যবহার করে ডিপ্লয়
[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)
## Contributing
যারা কোড অবদান রাখতে চান, তাদের জন্য আমাদের [অবদান নির্দেশিকা] দেখুন (https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)।
@ -236,7 +239,7 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
## কমিউনিটি এবং যোগাযোগ
- [Github Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম।
- [GitHub Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম।
- [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা। আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন।
- [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।
- [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<div align="center">
<a href="https://cloud.dify.ai">Dify 云服务</a> ·
@ -61,11 +61,6 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
**1. 工作流**:
在画布上构建和测试功能强大的 AI 工作流程,利用以下所有功能以及更多功能。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 全面的模型支持**:
与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成,涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。
@ -226,6 +221,11 @@ docker compose up -d
##### 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
使用 [阿里云计算巢](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) 将 Dify 一键部署到 阿里云
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
@ -248,7 +248,7 @@ docker compose up -d
我们欢迎您为 Dify 做出贡献,以帮助改善 Dify。包括提交代码、问题、新想法或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时,我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉:分享您的应用程序并与社区交流。
- [GitHub Discussion](https://github.com/langgenius/dify/discussions). 👉:分享您的应用程序并与社区交流。
- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉:使用 Dify.AI 时遇到的错误和问题,请参阅[贡献指南](CONTRIBUTING.md)。
- [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉:关于使用 Dify.AI 的问题。
- [Discord](https://discord.gg/FngNHpbcY7)。👉:分享您的应用程序并与社区交流。

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Einführung in Dify Workflow File Upload: Google NotebookLM Podcast nachbilden</a>
@ -83,11 +83,6 @@ Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/getting-started/install-sel
**1. Workflow**:
Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Umfassende Modellunterstützung**:
Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](https://docs.dify.ai/getting-started/readme/model-providers).
@ -226,6 +221,11 @@ Bereitstellung von Dify auf AWS mit [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao](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)
## Contributing
Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). Gleichzeitig bitten wir Sie, Dify zu unterstützen, indem Sie es in den sozialen Medien teilen und auf Veranstaltungen und Konferenzen präsentieren.
@ -235,7 +235,7 @@ Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](
## Gemeinschaft & Kontakt
* [Github Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen.
* [GitHub Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
* [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -59,11 +59,6 @@ Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto.
**1. Flujo de trabajo**:
Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Soporte de modelos completo**:
Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).
@ -226,6 +221,10 @@ Despliegue Dify en AWS usando [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK por @KevinZhao](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)
## Contribuir
Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -59,11 +59,6 @@ Dify est une plateforme de développement d'applications LLM open source. Son in
**1. Flux de travail** :
Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Prise en charge complète des modèles** :
Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).
@ -224,6 +219,11 @@ Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK par @KevinZhao](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)
## Contribuer
Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -60,11 +60,6 @@ DifyはオープンソースのLLMアプリケーション開発プラットフ
**1. ワークフロー**:
強力なAIワークフローをビジュアルキャンバス上で構築し、テストできます。すべての機能、および以下の機能を使用できます。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 総合的なモデルサポート**:
数百ものプロプライエタリ/オープンソースのLLMと、数十もの推論プロバイダーおよびセルフホスティングソリューションとのシームレスな統合を提供します。GPT、Mistral、Llama3、OpenAI APIと互換性のあるすべてのモデルを統合されています。サポートされているモデルプロバイダーの完全なリストは[こちら](https://docs.dify.ai/getting-started/readme/model-providers)をご覧ください。
@ -225,6 +220,10 @@ docker compose up -d
##### 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)
## 貢献
コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。
@ -241,7 +240,7 @@ docker compose up -d
## コミュニティ & お問い合わせ
* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
* [GitHub Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
* [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -59,11 +59,6 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
@ -224,6 +219,11 @@ wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo
##### AWS
- [AWS CDK qachlot @KevinZhao](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)
## Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
@ -240,7 +240,7 @@ At the same time, please consider supporting Dify by sharing it on social media
## Community & Contact
* [Github Discussion](https://github.com/langgenius/dify/discussions
* [GitHub Discussion](https://github.com/langgenius/dify/discussions
). Best for: sharing feedback and asking questions.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify 클라우드</a> ·
@ -54,11 +54,6 @@
**1. 워크플로우**:
다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 포괄적인 모델 지원:**:
수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다.
@ -218,6 +213,11 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
##### AWS
- [KevinZhao의 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)
## 기여
코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
@ -234,7 +234,7 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
## 커뮤니티 & 연락처
* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
* [GitHub 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.

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@ -1,5 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introduzindo o Dify Workflow com Upload de Arquivo: Recrie o Podcast Google NotebookLM</a>
</p>
@ -59,11 +58,6 @@ Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto.
**1. Workflow**:
Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Suporte abrangente a modelos**:
Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/readme/model-providers).
@ -224,6 +218,11 @@ Implante o Dify na AWS usando [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK por @KevinZhao](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)
## Contribuindo
Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
@ -81,11 +81,6 @@ Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-star
**1. Potek dela**:
Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Celovita podpora za modele**:
Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
@ -224,6 +219,11 @@ Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao](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)
## Prispevam
Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah.
@ -234,7 +234,7 @@ Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkra
## Skupnost in stik
* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
* [GitHub Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify Bulut</a> ·
@ -55,11 +55,6 @@ Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel aray
**1. Workflow**:
Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Kapsamlı model desteği**:
Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/readme/model-providers) ulaşabilirsiniz.
@ -217,6 +212,11 @@ Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.ter
##### AWS
- [AWS CDK tarafından @KevinZhao](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)
## Katkıda Bulunma
Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz.
@ -232,7 +232,7 @@ Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda p
## Topluluk & iletişim
* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
* [GitHub Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
* [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">介紹 Dify 工作流程檔案上傳功能:重現 Google NotebookLM Podcast</a>
@ -86,8 +86,6 @@ docker compose up -d
**1. 工作流程**
在視覺化畫布上建立和測試強大的 AI 工作流程,利用以下所有功能及更多。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 全面的模型支援**
無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/getting-started/readme/model-providers)找到支援的模型提供商完整列表。
@ -226,6 +224,11 @@ Dify 的所有功能都提供相應的 API因此您可以輕鬆地將 Dify
- [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
[阿里云](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
## 貢獻
對於想要貢獻程式碼的開發者,請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
@ -235,7 +238,7 @@ Dify 的所有功能都提供相應的 API因此您可以輕鬆地將 Dify
## 社群與聯絡方式
- [Github Discussion](https://github.com/langgenius/dify/discussions):最適合分享反饋和提問。
- [GitHub Discussion](https://github.com/langgenius/dify/discussions):最適合分享反饋和提問。
- [GitHub Issues](https://github.com/langgenius/dify/issues):最適合報告使用 Dify.AI 時遇到的問題和提出功能建議。請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
- [Discord](https://discord.gg/FngNHpbcY7):最適合分享您的應用程式並與社群互動。
- [X(Twitter)](https://twitter.com/dify_ai):最適合分享您的應用程式並與社群互動。

View File

@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -55,11 +55,6 @@ Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Gia
**1. Quy trình làm việc**:
Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Hỗ trợ mô hình toàn diện**:
Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
@ -219,6 +214,12 @@ Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK bởi @KevinZhao](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)
## Đóng góp
Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.

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@ -137,7 +137,7 @@ WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
# Vector database configuration
# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase, opengauss, tablestore
# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase, opengauss, tablestore, matrixone
VECTOR_STORE=weaviate
# Weaviate configuration
@ -152,6 +152,7 @@ QDRANT_API_KEY=difyai123456
QDRANT_CLIENT_TIMEOUT=20
QDRANT_GRPC_ENABLED=false
QDRANT_GRPC_PORT=6334
QDRANT_REPLICATION_FACTOR=1
#Couchbase configuration
COUCHBASE_CONNECTION_STRING=127.0.0.1
@ -269,6 +270,7 @@ OPENSEARCH_PORT=9200
OPENSEARCH_USER=admin
OPENSEARCH_PASSWORD=admin
OPENSEARCH_SECURE=true
OPENSEARCH_VERIFY_CERTS=true
# Baidu configuration
BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287
@ -292,6 +294,13 @@ VIKINGDB_SCHEMA=http
VIKINGDB_CONNECTION_TIMEOUT=30
VIKINGDB_SOCKET_TIMEOUT=30
# Matrixone configration
MATRIXONE_HOST=127.0.0.1
MATRIXONE_PORT=6001
MATRIXONE_USER=dump
MATRIXONE_PASSWORD=111
MATRIXONE_DATABASE=dify
# Lindorm configuration
LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
LINDORM_USERNAME=admin
@ -330,9 +339,11 @@ PROMPT_GENERATION_MAX_TOKENS=512
CODE_GENERATION_MAX_TOKENS=1024
PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false
# Mail configuration, support: resend, smtp
# Mail configuration, support: resend, smtp, sendgrid
MAIL_TYPE=
# If using SendGrid, use the 'from' field for authentication if necessary.
MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
# resend configuration
RESEND_API_KEY=
RESEND_API_URL=https://api.resend.com
# smtp configuration
@ -342,12 +353,14 @@ SMTP_USERNAME=123
SMTP_PASSWORD=abc
SMTP_USE_TLS=true
SMTP_OPPORTUNISTIC_TLS=false
# Sendgid configuration
SENDGRID_API_KEY=
# Sentry configuration
SENTRY_DSN=
# DEBUG
DEBUG=false
ENABLE_REQUEST_LOGGING=False
SQLALCHEMY_ECHO=false
# Notion import configuration, support public and internal
@ -476,6 +489,7 @@ LOGIN_LOCKOUT_DURATION=86400
ENABLE_OTEL=false
OTLP_BASE_ENDPOINT=http://localhost:4318
OTLP_API_KEY=
OTEL_EXPORTER_OTLP_PROTOCOL=
OTEL_EXPORTER_TYPE=otlp
OTEL_SAMPLING_RATE=0.1
OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000
@ -487,3 +501,10 @@ OTEL_METRIC_EXPORT_TIMEOUT=30000
# Prevent Clickjacking
ALLOW_EMBED=false
# Dataset queue monitor configuration
QUEUE_MONITOR_THRESHOLD=200
# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai
QUEUE_MONITOR_ALERT_EMAILS=
# Monitor interval in minutes, default is 30 minutes
QUEUE_MONITOR_INTERVAL=30

View File

@ -43,6 +43,7 @@ select = [
"S307", # suspicious-eval-usage, disallow use of `eval` and `ast.literal_eval`
"S301", # suspicious-pickle-usage, disallow use of `pickle` and its wrappers.
"S302", # suspicious-marshal-usage, disallow use of `marshal` module
"S311", # suspicious-non-cryptographic-random-usage
]
ignore = [

View File

@ -4,7 +4,7 @@ FROM python:3.12-slim-bookworm AS base
WORKDIR /app/api
# Install uv
ENV UV_VERSION=0.6.14
ENV UV_VERSION=0.7.11
RUN pip install --no-cache-dir uv==${UV_VERSION}

View File

@ -54,6 +54,7 @@ def initialize_extensions(app: DifyApp):
ext_otel,
ext_proxy_fix,
ext_redis,
ext_request_logging,
ext_sentry,
ext_set_secretkey,
ext_storage,
@ -83,6 +84,7 @@ def initialize_extensions(app: DifyApp):
ext_blueprints,
ext_commands,
ext_otel,
ext_request_logging,
]
for ext in extensions:
short_name = ext.__name__.split(".")[-1]

View File

@ -6,6 +6,7 @@ from typing import Optional
import click
from flask import current_app
from sqlalchemy import select
from werkzeug.exceptions import NotFound
from configs import dify_config
@ -26,7 +27,7 @@ from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, D
from models.dataset import Document as DatasetDocument
from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
from models.provider import Provider, ProviderModel
from services.account_service import RegisterService, TenantService
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
@ -67,6 +68,7 @@ def reset_password(email, new_password, password_confirm):
account.password = base64_password_hashed
account.password_salt = base64_salt
db.session.commit()
AccountService.reset_login_error_rate_limit(email)
click.echo(click.style("Password reset successfully.", fg="green"))
@ -279,6 +281,7 @@ def migrate_knowledge_vector_database():
VectorType.ELASTICSEARCH,
VectorType.OPENGAUSS,
VectorType.TABLESTORE,
VectorType.MATRIXONE,
}
lower_collection_vector_types = {
VectorType.ANALYTICDB,
@ -297,11 +300,11 @@ def migrate_knowledge_vector_database():
page = 1
while True:
try:
datasets = (
Dataset.query.filter(Dataset.indexing_technique == "high_quality")
.order_by(Dataset.created_at.desc())
.paginate(page=page, per_page=50)
stmt = (
select(Dataset).filter(Dataset.indexing_technique == "high_quality").order_by(Dataset.created_at.desc())
)
datasets = db.paginate(select=stmt, page=page, per_page=50, max_per_page=50, error_out=False)
except NotFound:
break
@ -551,11 +554,12 @@ def old_metadata_migration():
page = 1
while True:
try:
documents = (
DatasetDocument.query.filter(DatasetDocument.doc_metadata is not None)
stmt = (
select(DatasetDocument)
.filter(DatasetDocument.doc_metadata.is_not(None))
.order_by(DatasetDocument.created_at.desc())
.paginate(page=page, per_page=50)
)
documents = db.paginate(select=stmt, page=page, per_page=50, max_per_page=50, error_out=False)
except NotFound:
break
if not documents:
@ -592,11 +596,15 @@ def old_metadata_migration():
)
db.session.add(dataset_metadata_binding)
else:
dataset_metadata_binding = DatasetMetadataBinding.query.filter(
DatasetMetadataBinding.dataset_id == document.dataset_id,
DatasetMetadataBinding.document_id == document.id,
DatasetMetadataBinding.metadata_id == dataset_metadata.id,
).first()
dataset_metadata_binding = (
db.session.query(DatasetMetadataBinding) # type: ignore
.filter(
DatasetMetadataBinding.dataset_id == document.dataset_id,
DatasetMetadataBinding.document_id == document.id,
DatasetMetadataBinding.metadata_id == dataset_metadata.id,
)
.first()
)
if not dataset_metadata_binding:
dataset_metadata_binding = DatasetMetadataBinding(
tenant_id=document.tenant_id,
@ -840,6 +848,9 @@ def clear_orphaned_file_records(force: bool):
{"type": "text", "table": "workflow_node_executions", "column": "outputs"},
{"type": "text", "table": "conversations", "column": "introduction"},
{"type": "text", "table": "conversations", "column": "system_instruction"},
{"type": "text", "table": "accounts", "column": "avatar"},
{"type": "text", "table": "apps", "column": "icon"},
{"type": "text", "table": "sites", "column": "icon"},
{"type": "json", "table": "messages", "column": "inputs"},
{"type": "json", "table": "messages", "column": "message"},
]

View File

@ -17,6 +17,12 @@ class DeploymentConfig(BaseSettings):
default=False,
)
# Request logging configuration
ENABLE_REQUEST_LOGGING: bool = Field(
description="Enable request and response body logging",
default=False,
)
EDITION: str = Field(
description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
default="SELF_HOSTED",

View File

@ -74,7 +74,7 @@ class CodeExecutionSandboxConfig(BaseSettings):
CODE_EXECUTION_ENDPOINT: HttpUrl = Field(
description="URL endpoint for the code execution service",
default="http://sandbox:8194",
default=HttpUrl("http://sandbox:8194"),
)
CODE_EXECUTION_API_KEY: str = Field(
@ -145,7 +145,7 @@ class PluginConfig(BaseSettings):
PLUGIN_DAEMON_URL: HttpUrl = Field(
description="Plugin API URL",
default="http://localhost:5002",
default=HttpUrl("http://localhost:5002"),
)
PLUGIN_DAEMON_KEY: str = Field(
@ -188,7 +188,7 @@ class MarketplaceConfig(BaseSettings):
MARKETPLACE_API_URL: HttpUrl = Field(
description="Marketplace API URL",
default="https://marketplace.dify.ai",
default=HttpUrl("https://marketplace.dify.ai"),
)
@ -609,7 +609,7 @@ class MailConfig(BaseSettings):
"""
MAIL_TYPE: Optional[str] = Field(
description="Email service provider type ('smtp' or 'resend'), default to None.",
description="Email service provider type ('smtp' or 'resend' or 'sendGrid), default to None.",
default=None,
)
@ -663,6 +663,11 @@ class MailConfig(BaseSettings):
default=50,
)
SENDGRID_API_KEY: Optional[str] = Field(
description="API key for SendGrid service",
default=None,
)
class RagEtlConfig(BaseSettings):
"""

View File

@ -1,8 +1,8 @@
import os
from typing import Any, Literal, Optional
from urllib.parse import quote_plus
from urllib.parse import parse_qsl, quote_plus
from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
from pydantic_settings import BaseSettings
from .cache.redis_config import RedisConfig
@ -24,6 +24,7 @@ from .vdb.couchbase_config import CouchbaseConfig
from .vdb.elasticsearch_config import ElasticsearchConfig
from .vdb.huawei_cloud_config import HuaweiCloudConfig
from .vdb.lindorm_config import LindormConfig
from .vdb.matrixone_config import MatrixoneConfig
from .vdb.milvus_config import MilvusConfig
from .vdb.myscale_config import MyScaleConfig
from .vdb.oceanbase_config import OceanBaseVectorConfig
@ -173,17 +174,31 @@ class DatabaseConfig(BaseSettings):
RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
description="Number of processes for the retrieval service, default to CPU cores.",
default=os.cpu_count(),
default=os.cpu_count() or 1,
)
@computed_field
@computed_field # type: ignore[misc]
@property
def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
# Parse DB_EXTRAS for 'options'
db_extras_dict = dict(parse_qsl(self.DB_EXTRAS))
options = db_extras_dict.get("options", "")
# Always include timezone
timezone_opt = "-c timezone=UTC"
if options:
# Merge user options and timezone
merged_options = f"{options} {timezone_opt}"
else:
merged_options = timezone_opt
connect_args = {"options": merged_options}
return {
"pool_size": self.SQLALCHEMY_POOL_SIZE,
"max_overflow": self.SQLALCHEMY_MAX_OVERFLOW,
"pool_recycle": self.SQLALCHEMY_POOL_RECYCLE,
"pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING,
"connect_args": {"options": "-c timezone=UTC"},
"connect_args": connect_args,
}
@ -242,6 +257,25 @@ class InternalTestConfig(BaseSettings):
)
class DatasetQueueMonitorConfig(BaseSettings):
"""
Configuration settings for Dataset Queue Monitor
"""
QUEUE_MONITOR_THRESHOLD: Optional[NonNegativeInt] = Field(
description="Threshold for dataset queue monitor",
default=200,
)
QUEUE_MONITOR_ALERT_EMAILS: Optional[str] = Field(
description="Emails for dataset queue monitor alert, separated by commas",
default=None,
)
QUEUE_MONITOR_INTERVAL: Optional[NonNegativeFloat] = Field(
description="Interval for dataset queue monitor in minutes",
default=30,
)
class MiddlewareConfig(
# place the configs in alphabet order
CeleryConfig,
@ -289,5 +323,7 @@ class MiddlewareConfig(
BaiduVectorDBConfig,
OpenGaussConfig,
TableStoreConfig,
DatasetQueueMonitorConfig,
MatrixoneConfig,
):
pass

View File

@ -83,3 +83,13 @@ class RedisConfig(BaseSettings):
description="Password for Redis Clusters authentication (if required)",
default=None,
)
REDIS_SERIALIZATION_PROTOCOL: int = Field(
description="Redis serialization protocol (RESP) version",
default=3,
)
REDIS_ENABLE_CLIENT_SIDE_CACHE: bool = Field(
description="Enable client side cache in redis",
default=False,
)

View File

@ -1,4 +1,4 @@
from typing import Optional
from typing import Literal, Optional
from pydantic import Field
from pydantic_settings import BaseSettings
@ -34,7 +34,7 @@ class S3StorageConfig(BaseSettings):
default=None,
)
S3_ADDRESS_STYLE: str = Field(
S3_ADDRESS_STYLE: Literal["auto", "virtual", "path"] = Field(
description="S3 addressing style: 'auto', 'path', or 'virtual'",
default="auto",
)

View File

@ -0,0 +1,14 @@
from pydantic import BaseModel, Field
class MatrixoneConfig(BaseModel):
"""Matrixone vector database configuration."""
MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server")
MATRIXONE_PORT: int = Field(default=6001, description="Port number of the Matrixone server")
MATRIXONE_USER: str = Field(default="dump", description="Username for authenticating with Matrixone")
MATRIXONE_PASSWORD: str = Field(default="111", description="Password for authenticating with Matrixone")
MATRIXONE_DATABASE: str = Field(default="dify", description="Name of the Matrixone database to connect to")
MATRIXONE_METRIC: str = Field(
default="l2", description="Distance metric type for vector similarity search (cosine or l2)"
)

View File

@ -33,6 +33,11 @@ class OpenSearchConfig(BaseSettings):
default=False,
)
OPENSEARCH_VERIFY_CERTS: bool = Field(
description="Whether to verify SSL certificates for HTTPS connections (recommended to set True in production)",
default=True,
)
OPENSEARCH_AUTH_METHOD: AuthMethod = Field(
description="Authentication method for OpenSearch connection (default is 'basic')",
default=AuthMethod.BASIC,

View File

@ -33,3 +33,8 @@ class QdrantConfig(BaseSettings):
description="Port number for gRPC connection to Qdrant server (default is 6334)",
default=6334,
)
QDRANT_REPLICATION_FACTOR: PositiveInt = Field(
description="Replication factor for Qdrant collections (default is 1)",
default=1,
)

View File

@ -27,6 +27,11 @@ class OTelConfig(BaseSettings):
default="otlp",
)
OTEL_EXPORTER_OTLP_PROTOCOL: str = Field(
description="OTLP exporter protocol ('grpc' or 'http')",
default="http",
)
OTEL_SAMPLING_RATE: float = Field(default=0.1, description="Sampling rate for traces (0.0 to 1.0)")
OTEL_BATCH_EXPORT_SCHEDULE_DELAY: int = Field(

View File

@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
CURRENT_VERSION: str = Field(
description="Dify version",
default="1.3.1",
default="1.4.3",
)
COMMIT_SHA: str = Field(

View File

@ -60,8 +60,7 @@ class NacosHttpClient:
sign_str = tenant + "+"
if group:
sign_str = sign_str + group + "+"
if sign_str:
sign_str += ts
sign_str += ts # Directly concatenate ts without conditional checks, because the nacos auth header forced it.
return sign_str
def get_access_token(self, force_refresh=False):

View File

@ -11,10 +11,6 @@ if TYPE_CHECKING:
from core.workflow.entities.variable_pool import VariablePool
tenant_id: ContextVar[str] = ContextVar("tenant_id")
workflow_variable_pool: ContextVar["VariablePool"] = ContextVar("workflow_variable_pool")
"""
To avoid race-conditions caused by gunicorn thread recycling, using RecyclableContextVar to replace with
"""

View File

@ -1,5 +1,7 @@
from flask_restful import fields
from libs.helper import AppIconUrlField
parameters__system_parameters = {
"image_file_size_limit": fields.Integer,
"video_file_size_limit": fields.Integer,
@ -22,3 +24,20 @@ parameters_fields = {
"file_upload": fields.Raw,
"system_parameters": fields.Nested(parameters__system_parameters),
}
site_fields = {
"title": fields.String,
"chat_color_theme": fields.String,
"chat_color_theme_inverted": fields.Boolean,
"icon_type": fields.String,
"icon": fields.String,
"icon_background": fields.String,
"icon_url": AppIconUrlField,
"description": fields.String,
"copyright": fields.String,
"privacy_policy": fields.String,
"custom_disclaimer": fields.String,
"default_language": fields.String,
"show_workflow_steps": fields.Boolean,
"use_icon_as_answer_icon": fields.Boolean,
}

View File

@ -56,8 +56,7 @@ class InsertExploreAppListApi(Resource):
parser.add_argument("position", type=int, required=True, nullable=False, location="json")
args = parser.parse_args()
with Session(db.engine) as session:
app = session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none()
app = db.session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none()
if not app:
raise NotFound(f"App '{args['app_id']}' is not found")
@ -78,38 +77,38 @@ class InsertExploreAppListApi(Resource):
select(RecommendedApp).filter(RecommendedApp.app_id == args["app_id"])
).scalar_one_or_none()
if not recommended_app:
recommended_app = RecommendedApp(
app_id=app.id,
description=desc,
copyright=copy_right,
privacy_policy=privacy_policy,
custom_disclaimer=custom_disclaimer,
language=args["language"],
category=args["category"],
position=args["position"],
)
if not recommended_app:
recommended_app = RecommendedApp(
app_id=app.id,
description=desc,
copyright=copy_right,
privacy_policy=privacy_policy,
custom_disclaimer=custom_disclaimer,
language=args["language"],
category=args["category"],
position=args["position"],
)
db.session.add(recommended_app)
db.session.add(recommended_app)
app.is_public = True
db.session.commit()
app.is_public = True
db.session.commit()
return {"result": "success"}, 201
else:
recommended_app.description = desc
recommended_app.copyright = copy_right
recommended_app.privacy_policy = privacy_policy
recommended_app.custom_disclaimer = custom_disclaimer
recommended_app.language = args["language"]
recommended_app.category = args["category"]
recommended_app.position = args["position"]
return {"result": "success"}, 201
else:
recommended_app.description = desc
recommended_app.copyright = copy_right
recommended_app.privacy_policy = privacy_policy
recommended_app.custom_disclaimer = custom_disclaimer
recommended_app.language = args["language"]
recommended_app.category = args["category"]
recommended_app.position = args["position"]
app.is_public = True
app.is_public = True
db.session.commit()
db.session.commit()
return {"result": "success"}, 200
return {"result": "success"}, 200
class InsertExploreAppApi(Resource):

View File

@ -208,7 +208,7 @@ class AnnotationBatchImportApi(Resource):
if len(request.files) > 1:
raise TooManyFilesError()
# check file type
if not file.filename.endswith(".csv"):
if not file.filename or not file.filename.lower().endswith(".csv"):
raise ValueError("Invalid file type. Only CSV files are allowed")
return AppAnnotationService.batch_import_app_annotations(app_id, file)

View File

@ -17,15 +17,13 @@ from controllers.console.wraps import (
)
from core.ops.ops_trace_manager import OpsTraceManager
from extensions.ext_database import db
from fields.app_fields import (
app_detail_fields,
app_detail_fields_with_site,
app_pagination_fields,
)
from fields.app_fields import app_detail_fields, app_detail_fields_with_site, app_pagination_fields
from libs.login import login_required
from models import Account, App
from services.app_dsl_service import AppDslService, ImportMode
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
ALLOW_CREATE_APP_MODES = ["chat", "agent-chat", "advanced-chat", "workflow", "completion"]
@ -75,7 +73,17 @@ class AppListApi(Resource):
if not app_pagination:
return {"data": [], "total": 0, "page": 1, "limit": 20, "has_more": False}
return marshal(app_pagination, app_pagination_fields)
if FeatureService.get_system_features().webapp_auth.enabled:
app_ids = [str(app.id) for app in app_pagination.items]
res = EnterpriseService.WebAppAuth.batch_get_app_access_mode_by_id(app_ids=app_ids)
if len(res) != len(app_ids):
raise BadRequest("Invalid app id in webapp auth")
for app in app_pagination.items:
if str(app.id) in res:
app.access_mode = res[str(app.id)].access_mode
return marshal(app_pagination, app_pagination_fields), 200
@setup_required
@login_required
@ -119,6 +127,10 @@ class AppApi(Resource):
app_model = app_service.get_app(app_model)
if FeatureService.get_system_features().webapp_auth.enabled:
app_setting = EnterpriseService.WebAppAuth.get_app_access_mode_by_id(app_id=str(app_model.id))
app_model.access_mode = app_setting.access_mode
return app_model
@setup_required

View File

@ -17,6 +17,8 @@ from libs.login import login_required
from models import Account
from models.model import App
from services.app_dsl_service import AppDslService, ImportStatus
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
class AppImportApi(Resource):
@ -60,7 +62,9 @@ class AppImportApi(Resource):
app_id=args.get("app_id"),
)
session.commit()
if result.app_id and FeatureService.get_system_features().webapp_auth.enabled:
# update web app setting as private
EnterpriseService.WebAppAuth.update_app_access_mode(result.app_id, "private")
# Return appropriate status code based on result
status = result.status
if status == ImportStatus.FAILED.value:

View File

@ -81,8 +81,7 @@ class DraftWorkflowApi(Resource):
parser.add_argument("graph", type=dict, required=True, nullable=False, location="json")
parser.add_argument("features", type=dict, required=True, nullable=False, location="json")
parser.add_argument("hash", type=str, required=False, location="json")
# TODO: set this to required=True after frontend is updated
parser.add_argument("environment_variables", type=list, required=False, location="json")
parser.add_argument("environment_variables", type=list, required=True, location="json")
parser.add_argument("conversation_variables", type=list, required=False, location="json")
args = parser.parse_args()
elif "text/plain" in content_type:

View File

@ -6,12 +6,12 @@ from sqlalchemy.orm import Session
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.wraps import account_initialization_required, setup_required
from core.workflow.entities.workflow_execution import WorkflowExecutionStatus
from extensions.ext_database import db
from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
from libs.login import login_required
from models import App
from models.model import AppMode
from models.workflow import WorkflowRunStatus
from services.workflow_app_service import WorkflowAppService
@ -34,11 +34,25 @@ class WorkflowAppLogApi(Resource):
parser.add_argument(
"created_at__after", type=str, location="args", help="Filter logs created after this timestamp"
)
parser.add_argument(
"created_by_end_user_session_id",
type=str,
location="args",
required=False,
default=None,
)
parser.add_argument(
"created_by_account",
type=str,
location="args",
required=False,
default=None,
)
parser.add_argument("page", type=int_range(1, 99999), default=1, location="args")
parser.add_argument("limit", type=int_range(1, 100), default=20, location="args")
args = parser.parse_args()
args.status = WorkflowRunStatus(args.status) if args.status else None
args.status = WorkflowExecutionStatus(args.status) if args.status else None
if args.created_at__before:
args.created_at__before = isoparse(args.created_at__before)
@ -57,6 +71,8 @@ class WorkflowAppLogApi(Resource):
created_at_after=args.created_at__after,
page=args.page,
limit=args.limit,
created_by_end_user_session_id=args.created_by_end_user_session_id,
created_by_account=args.created_by_account,
)
return workflow_app_log_pagination

View File

@ -1,3 +1,6 @@
from typing import cast
from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range
@ -12,8 +15,7 @@ from fields.workflow_run_fields import (
)
from libs.helper import uuid_value
from libs.login import login_required
from models import App
from models.model import AppMode
from models import Account, App, AppMode, EndUser
from services.workflow_run_service import WorkflowRunService
@ -90,7 +92,12 @@ class WorkflowRunNodeExecutionListApi(Resource):
run_id = str(run_id)
workflow_run_service = WorkflowRunService()
node_executions = workflow_run_service.get_workflow_run_node_executions(app_model=app_model, run_id=run_id)
user = cast("Account | EndUser", current_user)
node_executions = workflow_run_service.get_workflow_run_node_executions(
app_model=app_model,
run_id=run_id,
user=user,
)
return {"data": node_executions}

View File

@ -24,7 +24,7 @@ from libs.password import hash_password, valid_password
from models.account import Account
from services.account_service import AccountService, TenantService
from services.errors.account import AccountRegisterError
from services.errors.workspace import WorkSpaceNotAllowedCreateError
from services.errors.workspace import WorkSpaceNotAllowedCreateError, WorkspacesLimitExceededError
from services.feature_service import FeatureService
@ -168,6 +168,8 @@ class ForgotPasswordResetApi(Resource):
)
except WorkSpaceNotAllowedCreateError:
pass
except WorkspacesLimitExceededError:
pass
except AccountRegisterError:
raise AccountInFreezeError()

View File

@ -21,6 +21,7 @@ from controllers.console.error import (
AccountNotFound,
EmailSendIpLimitError,
NotAllowedCreateWorkspace,
WorkspacesLimitExceeded,
)
from controllers.console.wraps import email_password_login_enabled, setup_required
from events.tenant_event import tenant_was_created
@ -30,7 +31,7 @@ from models.account import Account
from services.account_service import AccountService, RegisterService, TenantService
from services.billing_service import BillingService
from services.errors.account import AccountRegisterError
from services.errors.workspace import WorkSpaceNotAllowedCreateError
from services.errors.workspace import WorkSpaceNotAllowedCreateError, WorkspacesLimitExceededError
from services.feature_service import FeatureService
@ -88,10 +89,15 @@ class LoginApi(Resource):
# SELF_HOSTED only have one workspace
tenants = TenantService.get_join_tenants(account)
if len(tenants) == 0:
return {
"result": "fail",
"data": "workspace not found, please contact system admin to invite you to join in a workspace",
}
system_features = FeatureService.get_system_features()
if system_features.is_allow_create_workspace and not system_features.license.workspaces.is_available():
raise WorkspacesLimitExceeded()
else:
return {
"result": "fail",
"data": "workspace not found, please contact system admin to invite you to join in a workspace",
}
token_pair = AccountService.login(account=account, ip_address=extract_remote_ip(request))
AccountService.reset_login_error_rate_limit(args["email"])
@ -196,15 +202,18 @@ class EmailCodeLoginApi(Resource):
except AccountRegisterError as are:
raise AccountInFreezeError()
if account:
tenant = TenantService.get_join_tenants(account)
if not tenant:
tenants = TenantService.get_join_tenants(account)
if not tenants:
workspaces = FeatureService.get_system_features().license.workspaces
if not workspaces.is_available():
raise WorkspacesLimitExceeded()
if not FeatureService.get_system_features().is_allow_create_workspace:
raise NotAllowedCreateWorkspace()
else:
tenant = TenantService.create_tenant(f"{account.name}'s Workspace")
TenantService.create_tenant_member(tenant, account, role="owner")
account.current_tenant = tenant
tenant_was_created.send(tenant)
new_tenant = TenantService.create_tenant(f"{account.name}'s Workspace")
TenantService.create_tenant_member(new_tenant, account, role="owner")
account.current_tenant = new_tenant
tenant_was_created.send(new_tenant)
if account is None:
try:
@ -215,6 +224,8 @@ class EmailCodeLoginApi(Resource):
return NotAllowedCreateWorkspace()
except AccountRegisterError as are:
raise AccountInFreezeError()
except WorkspacesLimitExceededError:
raise WorkspacesLimitExceeded()
token_pair = AccountService.login(account, ip_address=extract_remote_ip(request))
AccountService.reset_login_error_rate_limit(args["email"])
return {"result": "success", "data": token_pair.model_dump()}

View File

@ -148,15 +148,15 @@ def _generate_account(provider: str, user_info: OAuthUserInfo):
account = _get_account_by_openid_or_email(provider, user_info)
if account:
tenant = TenantService.get_join_tenants(account)
if not tenant:
tenants = TenantService.get_join_tenants(account)
if not tenants:
if not FeatureService.get_system_features().is_allow_create_workspace:
raise WorkSpaceNotAllowedCreateError()
else:
tenant = TenantService.create_tenant(f"{account.name}'s Workspace")
TenantService.create_tenant_member(tenant, account, role="owner")
account.current_tenant = tenant
tenant_was_created.send(tenant)
new_tenant = TenantService.create_tenant(f"{account.name}'s Workspace")
TenantService.create_tenant_member(new_tenant, account, role="owner")
account.current_tenant = new_tenant
tenant_was_created.send(new_tenant)
if not account:
if not FeatureService.get_system_features().is_allow_register:

View File

@ -526,17 +526,36 @@ class DatasetIndexingStatusApi(Resource):
)
documents_status = []
for document in documents:
completed_segments = DocumentSegment.query.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
).count()
total_segments = DocumentSegment.query.filter(
DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment"
).count()
document.completed_segments = completed_segments
document.total_segments = total_segments
documents_status.append(marshal(document, document_status_fields))
completed_segments = (
db.session.query(DocumentSegment)
.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
)
.count()
)
total_segments = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment")
.count()
)
# Create a dictionary with document attributes and additional fields
document_dict = {
"id": document.id,
"indexing_status": document.indexing_status,
"processing_started_at": document.processing_started_at,
"parsing_completed_at": document.parsing_completed_at,
"cleaning_completed_at": document.cleaning_completed_at,
"splitting_completed_at": document.splitting_completed_at,
"completed_at": document.completed_at,
"paused_at": document.paused_at,
"error": document.error,
"stopped_at": document.stopped_at,
"completed_segments": completed_segments,
"total_segments": total_segments,
}
documents_status.append(marshal(document_dict, document_status_fields))
data = {"data": documents_status}
return data
@ -667,6 +686,7 @@ class DatasetRetrievalSettingApi(Resource):
| VectorType.TABLESTORE
| VectorType.HUAWEI_CLOUD
| VectorType.TENCENT
| VectorType.MATRIXONE
):
return {
"retrieval_method": [
@ -714,6 +734,7 @@ class DatasetRetrievalSettingMockApi(Resource):
| VectorType.TABLESTORE
| VectorType.TENCENT
| VectorType.HUAWEI_CLOUD
| VectorType.MATRIXONE
):
return {
"retrieval_method": [

View File

@ -6,7 +6,7 @@ from typing import cast
from flask import request
from flask_login import current_user
from flask_restful import Resource, fields, marshal, marshal_with, reqparse
from sqlalchemy import asc, desc
from sqlalchemy import asc, desc, select
from werkzeug.exceptions import Forbidden, NotFound
import services
@ -43,7 +43,6 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.plugin.impl.exc import PluginDaemonClientSideError
from core.rag.extractor.entity.extract_setting import ExtractSetting
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from fields.document_fields import (
dataset_and_document_fields,
document_fields,
@ -54,8 +53,6 @@ from libs.login import login_required
from models import Dataset, DatasetProcessRule, Document, DocumentSegment, UploadFile
from services.dataset_service import DatasetService, DocumentService
from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig
from tasks.add_document_to_index_task import add_document_to_index_task
from tasks.remove_document_from_index_task import remove_document_from_index_task
class DocumentResource(Resource):
@ -112,7 +109,7 @@ class GetProcessRuleApi(Resource):
limits = DocumentService.DEFAULT_RULES["limits"]
if document_id:
# get the latest process rule
document = Document.query.get_or_404(document_id)
document = db.get_or_404(Document, document_id)
dataset = DatasetService.get_dataset(document.dataset_id)
@ -175,7 +172,7 @@ class DatasetDocumentListApi(Resource):
except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e))
query = Document.query.filter_by(dataset_id=str(dataset_id), tenant_id=current_user.current_tenant_id)
query = select(Document).filter_by(dataset_id=str(dataset_id), tenant_id=current_user.current_tenant_id)
if search:
search = f"%{search}%"
@ -209,18 +206,24 @@ class DatasetDocumentListApi(Resource):
desc(Document.position),
)
paginated_documents = query.paginate(page=page, per_page=limit, max_per_page=100, error_out=False)
paginated_documents = db.paginate(select=query, page=page, per_page=limit, max_per_page=100, error_out=False)
documents = paginated_documents.items
if fetch:
for document in documents:
completed_segments = DocumentSegment.query.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
).count()
total_segments = DocumentSegment.query.filter(
DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment"
).count()
completed_segments = (
db.session.query(DocumentSegment)
.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
)
.count()
)
total_segments = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment")
.count()
)
document.completed_segments = completed_segments
document.total_segments = total_segments
data = marshal(documents, document_with_segments_fields)
@ -563,19 +566,36 @@ class DocumentBatchIndexingStatusApi(DocumentResource):
documents = self.get_batch_documents(dataset_id, batch)
documents_status = []
for document in documents:
completed_segments = DocumentSegment.query.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
).count()
total_segments = DocumentSegment.query.filter(
DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment"
).count()
document.completed_segments = completed_segments
document.total_segments = total_segments
if document.is_paused:
document.indexing_status = "paused"
documents_status.append(marshal(document, document_status_fields))
completed_segments = (
db.session.query(DocumentSegment)
.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
)
.count()
)
total_segments = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment")
.count()
)
# Create a dictionary with document attributes and additional fields
document_dict = {
"id": document.id,
"indexing_status": "paused" if document.is_paused else document.indexing_status,
"processing_started_at": document.processing_started_at,
"parsing_completed_at": document.parsing_completed_at,
"cleaning_completed_at": document.cleaning_completed_at,
"splitting_completed_at": document.splitting_completed_at,
"completed_at": document.completed_at,
"paused_at": document.paused_at,
"error": document.error,
"stopped_at": document.stopped_at,
"completed_segments": completed_segments,
"total_segments": total_segments,
}
documents_status.append(marshal(document_dict, document_status_fields))
data = {"data": documents_status}
return data
@ -589,20 +609,37 @@ class DocumentIndexingStatusApi(DocumentResource):
document_id = str(document_id)
document = self.get_document(dataset_id, document_id)
completed_segments = DocumentSegment.query.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document_id),
DocumentSegment.status != "re_segment",
).count()
total_segments = DocumentSegment.query.filter(
DocumentSegment.document_id == str(document_id), DocumentSegment.status != "re_segment"
).count()
completed_segments = (
db.session.query(DocumentSegment)
.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document_id),
DocumentSegment.status != "re_segment",
)
.count()
)
total_segments = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.document_id == str(document_id), DocumentSegment.status != "re_segment")
.count()
)
document.completed_segments = completed_segments
document.total_segments = total_segments
if document.is_paused:
document.indexing_status = "paused"
return marshal(document, document_status_fields)
# Create a dictionary with document attributes and additional fields
document_dict = {
"id": document.id,
"indexing_status": "paused" if document.is_paused else document.indexing_status,
"processing_started_at": document.processing_started_at,
"parsing_completed_at": document.parsing_completed_at,
"cleaning_completed_at": document.cleaning_completed_at,
"splitting_completed_at": document.splitting_completed_at,
"completed_at": document.completed_at,
"paused_at": document.paused_at,
"error": document.error,
"stopped_at": document.stopped_at,
"completed_segments": completed_segments,
"total_segments": total_segments,
}
return marshal(document_dict, document_status_fields)
class DocumentDetailApi(DocumentResource):
@ -822,77 +859,16 @@ class DocumentStatusApi(DocumentResource):
DatasetService.check_dataset_permission(dataset, current_user)
document_ids = request.args.getlist("document_id")
for document_id in document_ids:
document = self.get_document(dataset_id, document_id)
indexing_cache_key = "document_{}_indexing".format(document.id)
cache_result = redis_client.get(indexing_cache_key)
if cache_result is not None:
raise InvalidActionError(f"Document:{document.name} is being indexed, please try again later")
try:
DocumentService.batch_update_document_status(dataset, document_ids, action, current_user)
except services.errors.document.DocumentIndexingError as e:
raise InvalidActionError(str(e))
except ValueError as e:
raise InvalidActionError(str(e))
except NotFound as e:
raise NotFound(str(e))
if action == "enable":
if document.enabled:
continue
document.enabled = True
document.disabled_at = None
document.disabled_by = None
document.updated_at = datetime.now(UTC).replace(tzinfo=None)
db.session.commit()
# Set cache to prevent indexing the same document multiple times
redis_client.setex(indexing_cache_key, 600, 1)
add_document_to_index_task.delay(document_id)
elif action == "disable":
if not document.completed_at or document.indexing_status != "completed":
raise InvalidActionError(f"Document: {document.name} is not completed.")
if not document.enabled:
continue
document.enabled = False
document.disabled_at = datetime.now(UTC).replace(tzinfo=None)
document.disabled_by = current_user.id
document.updated_at = datetime.now(UTC).replace(tzinfo=None)
db.session.commit()
# Set cache to prevent indexing the same document multiple times
redis_client.setex(indexing_cache_key, 600, 1)
remove_document_from_index_task.delay(document_id)
elif action == "archive":
if document.archived:
continue
document.archived = True
document.archived_at = datetime.now(UTC).replace(tzinfo=None)
document.archived_by = current_user.id
document.updated_at = datetime.now(UTC).replace(tzinfo=None)
db.session.commit()
if document.enabled:
# Set cache to prevent indexing the same document multiple times
redis_client.setex(indexing_cache_key, 600, 1)
remove_document_from_index_task.delay(document_id)
elif action == "un_archive":
if not document.archived:
continue
document.archived = False
document.archived_at = None
document.archived_by = None
document.updated_at = datetime.now(UTC).replace(tzinfo=None)
db.session.commit()
# Set cache to prevent indexing the same document multiple times
redis_client.setex(indexing_cache_key, 600, 1)
add_document_to_index_task.delay(document_id)
else:
raise InvalidActionError()
return {"result": "success"}, 200

View File

@ -4,6 +4,7 @@ import pandas as pd
from flask import request
from flask_login import current_user
from flask_restful import Resource, marshal, reqparse
from sqlalchemy import select
from werkzeug.exceptions import Forbidden, NotFound
import services
@ -26,6 +27,7 @@ from controllers.console.wraps import (
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from fields.segment_fields import child_chunk_fields, segment_fields
from libs.login import login_required
@ -74,9 +76,14 @@ class DatasetDocumentSegmentListApi(Resource):
hit_count_gte = args["hit_count_gte"]
keyword = args["keyword"]
query = DocumentSegment.query.filter(
DocumentSegment.document_id == str(document_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).order_by(DocumentSegment.position.asc())
query = (
select(DocumentSegment)
.filter(
DocumentSegment.document_id == str(document_id),
DocumentSegment.tenant_id == current_user.current_tenant_id,
)
.order_by(DocumentSegment.position.asc())
)
if status_list:
query = query.filter(DocumentSegment.status.in_(status_list))
@ -93,7 +100,7 @@ class DatasetDocumentSegmentListApi(Resource):
elif args["enabled"].lower() == "false":
query = query.filter(DocumentSegment.enabled == False)
segments = query.paginate(page=page, per_page=limit, max_per_page=100, error_out=False)
segments = db.paginate(select=query, page=page, per_page=limit, max_per_page=100, error_out=False)
response = {
"data": marshal(segments.items, segment_fields),
@ -276,9 +283,11 @@ class DatasetDocumentSegmentUpdateApi(Resource):
raise ProviderNotInitializeError(ex.description)
# check segment
segment_id = str(segment_id)
segment = DocumentSegment.query.filter(
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).first()
segment = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment:
raise NotFound("Segment not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -320,9 +329,11 @@ class DatasetDocumentSegmentUpdateApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = DocumentSegment.query.filter(
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).first()
segment = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment:
raise NotFound("Segment not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -363,7 +374,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
if len(request.files) > 1:
raise TooManyFilesError()
# check file type
if not file.filename.endswith(".csv"):
if not file.filename or not file.filename.lower().endswith(".csv"):
raise ValueError("Invalid file type. Only CSV files are allowed")
try:
@ -423,9 +434,11 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = DocumentSegment.query.filter(
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).first()
segment = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment:
raise NotFound("Segment not found.")
if not current_user.is_dataset_editor:
@ -478,9 +491,11 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = DocumentSegment.query.filter(
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).first()
segment = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment:
raise NotFound("Segment not found.")
parser = reqparse.RequestParser()
@ -523,9 +538,11 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = DocumentSegment.query.filter(
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).first()
segment = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment:
raise NotFound("Segment not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -567,16 +584,20 @@ class ChildChunkUpdateApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = DocumentSegment.query.filter(
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).first()
segment = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment:
raise NotFound("Segment not found.")
# check child chunk
child_chunk_id = str(child_chunk_id)
child_chunk = ChildChunk.query.filter(
ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id
).first()
child_chunk = (
db.session.query(ChildChunk)
.filter(ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id)
.first()
)
if not child_chunk:
raise NotFound("Child chunk not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -612,16 +633,20 @@ class ChildChunkUpdateApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = DocumentSegment.query.filter(
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id
).first()
segment = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment:
raise NotFound("Segment not found.")
# check child chunk
child_chunk_id = str(child_chunk_id)
child_chunk = ChildChunk.query.filter(
ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id
).first()
child_chunk = (
db.session.query(ChildChunk)
.filter(ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id)
.first()
)
if not child_chunk:
raise NotFound("Child chunk not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor

View File

@ -46,6 +46,18 @@ class NotAllowedCreateWorkspace(BaseHTTPException):
code = 400
class WorkspaceMembersLimitExceeded(BaseHTTPException):
error_code = "limit_exceeded"
description = "Unable to add member because the maximum workspace's member limit was exceeded"
code = 400
class WorkspacesLimitExceeded(BaseHTTPException):
error_code = "limit_exceeded"
description = "Unable to create workspace because the maximum workspace limit was exceeded"
code = 400
class AccountBannedError(BaseHTTPException):
error_code = "account_banned"
description = "Account is banned."

View File

@ -23,3 +23,9 @@ class AppSuggestedQuestionsAfterAnswerDisabledError(BaseHTTPException):
error_code = "app_suggested_questions_after_answer_disabled"
description = "Function Suggested questions after answer disabled."
code = 403
class AppAccessDeniedError(BaseHTTPException):
error_code = "access_denied"
description = "App access denied."
code = 403

View File

@ -1,3 +1,4 @@
import logging
from datetime import UTC, datetime
from typing import Any
@ -15,6 +16,11 @@ from fields.installed_app_fields import installed_app_list_fields
from libs.login import login_required
from models import App, InstalledApp, RecommendedApp
from services.account_service import TenantService
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
logger = logging.getLogger(__name__)
class InstalledAppsListApi(Resource):
@ -48,6 +54,28 @@ class InstalledAppsListApi(Resource):
for installed_app in installed_apps
if installed_app.app is not None
]
# filter out apps that user doesn't have access to
if FeatureService.get_system_features().webapp_auth.enabled:
user_id = current_user.id
res = []
app_ids = [installed_app["app"].id for installed_app in installed_app_list]
webapp_settings = EnterpriseService.WebAppAuth.batch_get_app_access_mode_by_id(app_ids)
for installed_app in installed_app_list:
webapp_setting = webapp_settings.get(installed_app["app"].id)
if not webapp_setting:
continue
if webapp_setting.access_mode == "sso_verified":
continue
app_code = AppService.get_app_code_by_id(str(installed_app["app"].id))
if EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(
user_id=user_id,
app_code=app_code,
):
res.append(installed_app)
installed_app_list = res
logger.debug(f"installed_app_list: {installed_app_list}, user_id: {user_id}")
installed_app_list.sort(
key=lambda app: (
-app["is_pinned"],
@ -66,7 +94,7 @@ class InstalledAppsListApi(Resource):
parser.add_argument("app_id", type=str, required=True, help="Invalid app_id")
args = parser.parse_args()
recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args["app_id"]).first()
recommended_app = db.session.query(RecommendedApp).filter(RecommendedApp.app_id == args["app_id"]).first()
if recommended_app is None:
raise NotFound("App not found")
@ -79,9 +107,11 @@ class InstalledAppsListApi(Resource):
if not app.is_public:
raise Forbidden("You can't install a non-public app")
installed_app = InstalledApp.query.filter(
and_(InstalledApp.app_id == args["app_id"], InstalledApp.tenant_id == current_tenant_id)
).first()
installed_app = (
db.session.query(InstalledApp)
.filter(and_(InstalledApp.app_id == args["app_id"], InstalledApp.tenant_id == current_tenant_id))
.first()
)
if installed_app is None:
# todo: position

View File

@ -4,10 +4,14 @@ from flask_login import current_user
from flask_restful import Resource
from werkzeug.exceptions import NotFound
from controllers.console.explore.error import AppAccessDeniedError
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from libs.login import login_required
from models import InstalledApp
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
def installed_app_required(view=None):
@ -48,6 +52,36 @@ def installed_app_required(view=None):
return decorator
def user_allowed_to_access_app(view=None):
def decorator(view):
@wraps(view)
def decorated(installed_app: InstalledApp, *args, **kwargs):
feature = FeatureService.get_system_features()
if feature.webapp_auth.enabled:
app_id = installed_app.app_id
app_code = AppService.get_app_code_by_id(app_id)
res = EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(
user_id=str(current_user.id),
app_code=app_code,
)
if not res:
raise AppAccessDeniedError()
return view(installed_app, *args, **kwargs)
return decorated
if view:
return decorator(view)
return decorator
class InstalledAppResource(Resource):
# must be reversed if there are multiple decorators
method_decorators = [installed_app_required, account_initialization_required, login_required]
method_decorators = [
user_allowed_to_access_app,
installed_app_required,
account_initialization_required,
login_required,
]

View File

@ -15,7 +15,7 @@ class LoadBalancingCredentialsValidateApi(Resource):
@login_required
@account_initialization_required
def post(self, provider: str):
if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role):
if not TenantAccountRole.is_privileged_role(current_user.current_role):
raise Forbidden()
tenant_id = current_user.current_tenant_id
@ -64,7 +64,7 @@ class LoadBalancingConfigCredentialsValidateApi(Resource):
@login_required
@account_initialization_required
def post(self, provider: str, config_id: str):
if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role):
if not TenantAccountRole.is_privileged_role(current_user.current_role):
raise Forbidden()
tenant_id = current_user.current_tenant_id

View File

@ -6,6 +6,7 @@ from flask_restful import Resource, abort, marshal_with, reqparse
import services
from configs import dify_config
from controllers.console import api
from controllers.console.error import WorkspaceMembersLimitExceeded
from controllers.console.wraps import (
account_initialization_required,
cloud_edition_billing_resource_check,
@ -17,6 +18,7 @@ from libs.login import login_required
from models.account import Account, TenantAccountRole
from services.account_service import RegisterService, TenantService
from services.errors.account import AccountAlreadyInTenantError
from services.feature_service import FeatureService
class MemberListApi(Resource):
@ -54,6 +56,12 @@ class MemberInviteEmailApi(Resource):
inviter = current_user
invitation_results = []
console_web_url = dify_config.CONSOLE_WEB_URL
workspace_members = FeatureService.get_features(tenant_id=inviter.current_tenant.id).workspace_members
if not workspace_members.is_available(len(invitee_emails)):
raise WorkspaceMembersLimitExceeded()
for invitee_email in invitee_emails:
try:
token = RegisterService.invite_new_member(
@ -71,7 +79,6 @@ class MemberInviteEmailApi(Resource):
invitation_results.append(
{"status": "success", "email": invitee_email, "url": f"{console_web_url}/signin"}
)
break
except Exception as e:
invitation_results.append({"status": "failed", "email": invitee_email, "message": str(e)})

View File

@ -41,12 +41,16 @@ class PluginListApi(Resource):
@account_initialization_required
def get(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("page", type=int, required=False, location="args", default=1)
parser.add_argument("page_size", type=int, required=False, location="args", default=256)
args = parser.parse_args()
try:
plugins = PluginService.list(tenant_id)
plugins_with_total = PluginService.list_with_total(tenant_id, args["page"], args["page_size"])
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder({"plugins": plugins})
return jsonable_encoder({"plugins": plugins_with_total.list, "total": plugins_with_total.total})
class PluginListLatestVersionsApi(Resource):

View File

@ -3,6 +3,7 @@ import logging
from flask import request
from flask_login import current_user
from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
from sqlalchemy import select
from werkzeug.exceptions import Unauthorized
import services
@ -67,16 +68,24 @@ class TenantListApi(Resource):
@account_initialization_required
def get(self):
tenants = TenantService.get_join_tenants(current_user)
tenant_dicts = []
for tenant in tenants:
features = FeatureService.get_features(tenant.id)
if features.billing.enabled:
tenant.plan = features.billing.subscription.plan
else:
tenant.plan = "sandbox"
if tenant.id == current_user.current_tenant_id:
tenant.current = True # Set current=True for current tenant
return {"workspaces": marshal(tenants, tenants_fields)}, 200
# Create a dictionary with tenant attributes
tenant_dict = {
"id": tenant.id,
"name": tenant.name,
"status": tenant.status,
"created_at": tenant.created_at,
"plan": features.billing.subscription.plan if features.billing.enabled else "sandbox",
"current": tenant.id == current_user.current_tenant_id,
}
tenant_dicts.append(tenant_dict)
return {"workspaces": marshal(tenant_dicts, tenants_fields)}, 200
class WorkspaceListApi(Resource):
@ -88,9 +97,8 @@ class WorkspaceListApi(Resource):
parser.add_argument("limit", type=inputs.int_range(1, 100), required=False, default=20, location="args")
args = parser.parse_args()
tenants = Tenant.query.order_by(Tenant.created_at.desc()).paginate(
page=args["page"], per_page=args["limit"], error_out=False
)
stmt = select(Tenant).order_by(Tenant.created_at.desc())
tenants = db.paginate(select=stmt, page=args["page"], per_page=args["limit"], error_out=False)
has_more = False
if tenants.has_next:
@ -162,7 +170,7 @@ class CustomConfigWorkspaceApi(Resource):
parser.add_argument("replace_webapp_logo", type=str, location="json")
args = parser.parse_args()
tenant = Tenant.query.filter(Tenant.id == current_user.current_tenant_id).one_or_404()
tenant = db.get_or_404(Tenant, current_user.current_tenant_id)
custom_config_dict = {
"remove_webapp_brand": args["remove_webapp_brand"],
@ -226,7 +234,7 @@ class WorkspaceInfoApi(Resource):
parser.add_argument("name", type=str, required=True, location="json")
args = parser.parse_args()
tenant = Tenant.query.filter(Tenant.id == current_user.current_tenant_id).one_or_404()
tenant = db.get_or_404(Tenant, current_user.current_tenant_id)
tenant.name = args["name"]
db.session.commit()

View File

@ -44,6 +44,17 @@ def only_edition_cloud(view):
return decorated
def only_edition_enterprise(view):
@wraps(view)
def decorated(*args, **kwargs):
if not dify_config.ENTERPRISE_ENABLED:
abort(404)
return view(*args, **kwargs)
return decorated
def only_edition_self_hosted(view):
@wraps(view)
def decorated(*args, **kwargs):

View File

@ -64,9 +64,24 @@ class PluginUploadFileApi(Resource):
extension = guess_extension(tool_file.mimetype) or ".bin"
preview_url = ToolFileManager.sign_file(tool_file_id=tool_file.id, extension=extension)
tool_file.mime_type = mimetype
tool_file.extension = extension
tool_file.preview_url = preview_url
# Create a dictionary with all the necessary attributes
result = {
"id": tool_file.id,
"user_id": tool_file.user_id,
"tenant_id": tool_file.tenant_id,
"conversation_id": tool_file.conversation_id,
"file_key": tool_file.file_key,
"mimetype": tool_file.mimetype,
"original_url": tool_file.original_url,
"name": tool_file.name,
"size": tool_file.size,
"mime_type": mimetype,
"extension": extension,
"preview_url": preview_url,
}
return result, 201
except services.errors.file.FileTooLargeError as file_too_large_error:
raise FileTooLargeError(file_too_large_error.description)
except services.errors.file.UnsupportedFileTypeError:

View File

@ -5,5 +5,6 @@ from libs.external_api import ExternalApi
bp = Blueprint("inner_api", __name__, url_prefix="/inner/api")
api = ExternalApi(bp)
from . import mail
from .plugin import plugin
from .workspace import workspace

View File

@ -0,0 +1,27 @@
from flask_restful import (
Resource, # type: ignore
reqparse,
)
from controllers.console.wraps import setup_required
from controllers.inner_api import api
from controllers.inner_api.wraps import enterprise_inner_api_only
from services.enterprise.mail_service import DifyMail, EnterpriseMailService
class EnterpriseMail(Resource):
@setup_required
@enterprise_inner_api_only
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("to", type=str, action="append", required=True)
parser.add_argument("subject", type=str, required=True)
parser.add_argument("body", type=str, required=True)
parser.add_argument("substitutions", type=dict, required=False)
args = parser.parse_args()
EnterpriseMailService.send_mail(DifyMail(**args))
return {"message": "success"}, 200
api.add_resource(EnterpriseMail, "/enterprise/mail")

View File

@ -29,7 +29,7 @@ from core.plugin.entities.request import (
RequestRequestUploadFile,
)
from core.tools.entities.tool_entities import ToolProviderType
from libs.helper import compact_generate_response
from libs.helper import length_prefixed_response
from models.account import Account, Tenant
from models.model import EndUser
@ -44,7 +44,7 @@ class PluginInvokeLLMApi(Resource):
response = PluginModelBackwardsInvocation.invoke_llm(user_model.id, tenant_model, payload)
return PluginModelBackwardsInvocation.convert_to_event_stream(response)
return compact_generate_response(generator())
return length_prefixed_response(0xF, generator())
class PluginInvokeTextEmbeddingApi(Resource):
@ -101,7 +101,7 @@ class PluginInvokeTTSApi(Resource):
)
return PluginModelBackwardsInvocation.convert_to_event_stream(response)
return compact_generate_response(generator())
return length_prefixed_response(0xF, generator())
class PluginInvokeSpeech2TextApi(Resource):
@ -162,7 +162,7 @@ class PluginInvokeToolApi(Resource):
),
)
return compact_generate_response(generator())
return length_prefixed_response(0xF, generator())
class PluginInvokeParameterExtractorNodeApi(Resource):
@ -228,7 +228,7 @@ class PluginInvokeAppApi(Resource):
files=payload.files,
)
return compact_generate_response(PluginAppBackwardsInvocation.convert_to_event_stream(response))
return length_prefixed_response(0xF, PluginAppBackwardsInvocation.convert_to_event_stream(response))
class PluginInvokeEncryptApi(Resource):

View File

@ -2,12 +2,14 @@ from collections.abc import Callable
from functools import wraps
from typing import Optional
from flask import request
from flask import current_app, request
from flask_login import user_logged_in
from flask_restful import reqparse
from pydantic import BaseModel
from sqlalchemy.orm import Session
from extensions.ext_database import db
from libs.login import _get_user
from models.account import Account, Tenant
from models.model import EndUser
from services.account_service import AccountService
@ -30,6 +32,7 @@ def get_user(tenant_id: str, user_id: str | None) -> Account | EndUser:
)
session.add(user_model)
session.commit()
session.refresh(user_model)
else:
user_model = AccountService.load_user(user_id)
if not user_model:
@ -80,7 +83,12 @@ def get_user_tenant(view: Optional[Callable] = None):
raise ValueError("tenant not found")
kwargs["tenant_model"] = tenant_model
kwargs["user_model"] = get_user(tenant_id, user_id)
user = get_user(tenant_id, user_id)
kwargs["user_model"] = user
current_app.login_manager._update_request_context_with_user(user) # type: ignore
user_logged_in.send(current_app._get_current_object(), user=_get_user()) # type: ignore
return view_func(*args, **kwargs)

View File

@ -6,6 +6,6 @@ bp = Blueprint("service_api", __name__, url_prefix="/v1")
api = ExternalApi(bp)
from . import index
from .app import annotation, app, audio, completion, conversation, file, message, workflow
from .app import annotation, app, audio, completion, conversation, file, message, site, workflow
from .dataset import dataset, document, hit_testing, metadata, segment, upload_file
from .workspace import models

View File

@ -3,19 +3,19 @@ from flask_restful import Resource, marshal, marshal_with, reqparse
from werkzeug.exceptions import Forbidden
from controllers.service_api import api
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
from controllers.service_api.wraps import validate_app_token
from extensions.ext_redis import redis_client
from fields.annotation_fields import (
annotation_fields,
)
from libs.login import current_user
from models.model import App, EndUser
from models.model import App
from services.annotation_service import AppAnnotationService
class AnnotationReplyActionApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
def post(self, app_model: App, end_user: EndUser, action):
@validate_app_token
def post(self, app_model: App, action):
parser = reqparse.RequestParser()
parser.add_argument("score_threshold", required=True, type=float, location="json")
parser.add_argument("embedding_provider_name", required=True, type=str, location="json")
@ -31,8 +31,8 @@ class AnnotationReplyActionApi(Resource):
class AnnotationReplyActionStatusApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
def get(self, app_model: App, end_user: EndUser, job_id, action):
@validate_app_token
def get(self, app_model: App, job_id, action):
job_id = str(job_id)
app_annotation_job_key = "{}_app_annotation_job_{}".format(action, str(job_id))
cache_result = redis_client.get(app_annotation_job_key)
@ -49,8 +49,8 @@ class AnnotationReplyActionStatusApi(Resource):
class AnnotationListApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
def get(self, app_model: App, end_user: EndUser):
@validate_app_token
def get(self, app_model: App):
page = request.args.get("page", default=1, type=int)
limit = request.args.get("limit", default=20, type=int)
keyword = request.args.get("keyword", default="", type=str)
@ -65,9 +65,9 @@ class AnnotationListApi(Resource):
}
return response, 200
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
@validate_app_token
@marshal_with(annotation_fields)
def post(self, app_model: App, end_user: EndUser):
def post(self, app_model: App):
parser = reqparse.RequestParser()
parser.add_argument("question", required=True, type=str, location="json")
parser.add_argument("answer", required=True, type=str, location="json")
@ -77,9 +77,9 @@ class AnnotationListApi(Resource):
class AnnotationUpdateDeleteApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
@validate_app_token
@marshal_with(annotation_fields)
def put(self, app_model: App, end_user: EndUser, annotation_id):
def put(self, app_model: App, annotation_id):
if not current_user.is_editor:
raise Forbidden()
@ -91,8 +91,8 @@ class AnnotationUpdateDeleteApi(Resource):
annotation = AppAnnotationService.update_app_annotation_directly(args, app_model.id, annotation_id)
return annotation
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
def delete(self, app_model: App, end_user: EndUser, annotation_id):
@validate_app_token
def delete(self, app_model: App, annotation_id):
if not current_user.is_editor:
raise Forbidden()

View File

@ -47,7 +47,13 @@ class AppInfoApi(Resource):
def get(self, app_model: App):
"""Get app information"""
tags = [tag.name for tag in app_model.tags]
return {"name": app_model.name, "description": app_model.description, "tags": tags, "mode": app_model.mode}
return {
"name": app_model.name,
"description": app_model.description,
"tags": tags,
"mode": app_model.mode,
"author_name": app_model.author_name,
}
api.add_resource(AppParameterApi, "/parameters")

View File

@ -93,6 +93,18 @@ class MessageFeedbackApi(Resource):
return {"result": "success"}
class AppGetFeedbacksApi(Resource):
@validate_app_token
def get(self, app_model: App):
"""Get All Feedbacks of an app"""
parser = reqparse.RequestParser()
parser.add_argument("page", type=int, default=1, location="args")
parser.add_argument("limit", type=int_range(1, 101), required=False, default=20, location="args")
args = parser.parse_args()
feedbacks = MessageService.get_all_messages_feedbacks(app_model, page=args["page"], limit=args["limit"])
return {"data": feedbacks}
class MessageSuggestedApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY, required=True))
def get(self, app_model: App, end_user: EndUser, message_id):
@ -119,3 +131,4 @@ class MessageSuggestedApi(Resource):
api.add_resource(MessageListApi, "/messages")
api.add_resource(MessageFeedbackApi, "/messages/<uuid:message_id>/feedbacks")
api.add_resource(MessageSuggestedApi, "/messages/<uuid:message_id>/suggested")
api.add_resource(AppGetFeedbacksApi, "/app/feedbacks")

View File

@ -0,0 +1,30 @@
from flask_restful import Resource, marshal_with
from werkzeug.exceptions import Forbidden
from controllers.common import fields
from controllers.service_api import api
from controllers.service_api.wraps import validate_app_token
from extensions.ext_database import db
from models.account import TenantStatus
from models.model import App, Site
class AppSiteApi(Resource):
"""Resource for app sites."""
@validate_app_token
@marshal_with(fields.site_fields)
def get(self, app_model: App):
"""Retrieve app site info."""
site = db.session.query(Site).filter(Site.app_id == app_model.id).first()
if not site:
raise Forbidden()
if app_model.tenant.status == TenantStatus.ARCHIVE:
raise Forbidden()
return site
api.add_resource(AppSiteApi, "/site")

View File

@ -24,12 +24,13 @@ from core.errors.error import (
QuotaExceededError,
)
from core.model_runtime.errors.invoke import InvokeError
from core.workflow.entities.workflow_execution import WorkflowExecutionStatus
from extensions.ext_database import db
from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
from libs import helper
from libs.helper import TimestampField
from models.model import App, AppMode, EndUser
from models.workflow import WorkflowRun, WorkflowRunStatus
from models.workflow import WorkflowRun
from services.app_generate_service import AppGenerateService
from services.errors.llm import InvokeRateLimitError
from services.workflow_app_service import WorkflowAppService
@ -134,11 +135,25 @@ class WorkflowAppLogApi(Resource):
parser.add_argument("status", type=str, choices=["succeeded", "failed", "stopped"], location="args")
parser.add_argument("created_at__before", type=str, location="args")
parser.add_argument("created_at__after", type=str, location="args")
parser.add_argument(
"created_by_end_user_session_id",
type=str,
location="args",
required=False,
default=None,
)
parser.add_argument(
"created_by_account",
type=str,
location="args",
required=False,
default=None,
)
parser.add_argument("page", type=int_range(1, 99999), default=1, location="args")
parser.add_argument("limit", type=int_range(1, 100), default=20, location="args")
args = parser.parse_args()
args.status = WorkflowRunStatus(args.status) if args.status else None
args.status = WorkflowExecutionStatus(args.status) if args.status else None
if args.created_at__before:
args.created_at__before = isoparse(args.created_at__before)
@ -157,6 +172,8 @@ class WorkflowAppLogApi(Resource):
created_at_after=args.created_at__after,
page=args.page,
limit=args.limit,
created_by_end_user_session_id=args.created_by_end_user_session_id,
created_by_account=args.created_by_account,
)
return workflow_app_log_pagination

View File

@ -1,19 +1,25 @@
from flask import request
from flask_restful import marshal, reqparse
from flask_restful import marshal, marshal_with, reqparse
from werkzeug.exceptions import Forbidden, NotFound
import services.dataset_service
from controllers.service_api import api
from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError
from controllers.service_api.wraps import DatasetApiResource
from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError, InvalidActionError
from controllers.service_api.wraps import (
DatasetApiResource,
cloud_edition_billing_rate_limit_check,
validate_dataset_token,
)
from core.model_runtime.entities.model_entities import ModelType
from core.plugin.entities.plugin import ModelProviderID
from core.provider_manager import ProviderManager
from fields.dataset_fields import dataset_detail_fields
from fields.tag_fields import tag_fields
from libs.login import current_user
from models.dataset import Dataset, DatasetPermissionEnum
from services.dataset_service import DatasetPermissionService, DatasetService
from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
from services.tag_service import TagService
def _validate_name(name):
@ -68,6 +74,7 @@ class DatasetListApi(DatasetApiResource):
response = {"data": data, "has_more": len(datasets) == limit, "limit": limit, "total": total, "page": page}
return response, 200
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id):
"""Resource for creating datasets."""
parser = reqparse.RequestParser()
@ -191,6 +198,7 @@ class DatasetApi(DatasetApiResource):
return data, 200
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def patch(self, _, dataset_id):
dataset_id_str = str(dataset_id)
dataset = DatasetService.get_dataset(dataset_id_str)
@ -291,6 +299,7 @@ class DatasetApi(DatasetApiResource):
return result_data, 200
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def delete(self, _, dataset_id):
"""
Deletes a dataset given its ID.
@ -313,12 +322,193 @@ class DatasetApi(DatasetApiResource):
try:
if DatasetService.delete_dataset(dataset_id_str, current_user):
DatasetPermissionService.clear_partial_member_list(dataset_id_str)
return {"result": "success"}, 204
return 204
else:
raise NotFound("Dataset not found.")
except services.errors.dataset.DatasetInUseError:
raise DatasetInUseError()
class DocumentStatusApi(DatasetApiResource):
"""Resource for batch document status operations."""
def patch(self, tenant_id, dataset_id, action):
"""
Batch update document status.
Args:
tenant_id: tenant id
dataset_id: dataset id
action: action to perform (enable, disable, archive, un_archive)
Returns:
dict: A dictionary with a key 'result' and a value 'success'
int: HTTP status code 200 indicating that the operation was successful.
Raises:
NotFound: If the dataset with the given ID does not exist.
Forbidden: If the user does not have permission.
InvalidActionError: If the action is invalid or cannot be performed.
"""
dataset_id_str = str(dataset_id)
dataset = DatasetService.get_dataset(dataset_id_str)
if dataset is None:
raise NotFound("Dataset not found.")
# Check user's permission
try:
DatasetService.check_dataset_permission(dataset, current_user)
except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e))
# Check dataset model setting
DatasetService.check_dataset_model_setting(dataset)
# Get document IDs from request body
data = request.get_json()
document_ids = data.get("document_ids", [])
try:
DocumentService.batch_update_document_status(dataset, document_ids, action, current_user)
except services.errors.document.DocumentIndexingError as e:
raise InvalidActionError(str(e))
except ValueError as e:
raise InvalidActionError(str(e))
return {"result": "success"}, 200
class DatasetTagsApi(DatasetApiResource):
@validate_dataset_token
@marshal_with(tag_fields)
def get(self, _, dataset_id):
"""Get all knowledge type tags."""
tags = TagService.get_tags("knowledge", current_user.current_tenant_id)
return tags, 200
@validate_dataset_token
def post(self, _, dataset_id):
"""Add a knowledge type tag."""
if not (current_user.is_editor or current_user.is_dataset_editor):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument(
"name",
nullable=False,
required=True,
help="Name must be between 1 to 50 characters.",
type=DatasetTagsApi._validate_tag_name,
)
args = parser.parse_args()
args["type"] = "knowledge"
tag = TagService.save_tags(args)
response = {"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": 0}
return response, 200
@validate_dataset_token
def patch(self, _, dataset_id):
if not (current_user.is_editor or current_user.is_dataset_editor):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument(
"name",
nullable=False,
required=True,
help="Name must be between 1 to 50 characters.",
type=DatasetTagsApi._validate_tag_name,
)
parser.add_argument("tag_id", nullable=False, required=True, help="Id of a tag.", type=str)
args = parser.parse_args()
args["type"] = "knowledge"
tag = TagService.update_tags(args, args.get("tag_id"))
binding_count = TagService.get_tag_binding_count(args.get("tag_id"))
response = {"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": binding_count}
return response, 200
@validate_dataset_token
def delete(self, _, dataset_id):
"""Delete a knowledge type tag."""
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("tag_id", nullable=False, required=True, help="Id of a tag.", type=str)
args = parser.parse_args()
TagService.delete_tag(args.get("tag_id"))
return 204
@staticmethod
def _validate_tag_name(name):
if not name or len(name) < 1 or len(name) > 50:
raise ValueError("Name must be between 1 to 50 characters.")
return name
class DatasetTagBindingApi(DatasetApiResource):
@validate_dataset_token
def post(self, _, dataset_id):
# The role of the current user in the ta table must be admin, owner, editor, or dataset_operator
if not (current_user.is_editor or current_user.is_dataset_editor):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument(
"tag_ids", type=list, nullable=False, required=True, location="json", help="Tag IDs is required."
)
parser.add_argument(
"target_id", type=str, nullable=False, required=True, location="json", help="Target Dataset ID is required."
)
args = parser.parse_args()
args["type"] = "knowledge"
TagService.save_tag_binding(args)
return 204
class DatasetTagUnbindingApi(DatasetApiResource):
@validate_dataset_token
def post(self, _, dataset_id):
# The role of the current user in the ta table must be admin, owner, editor, or dataset_operator
if not (current_user.is_editor or current_user.is_dataset_editor):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("tag_id", type=str, nullable=False, required=True, help="Tag ID is required.")
parser.add_argument("target_id", type=str, nullable=False, required=True, help="Target ID is required.")
args = parser.parse_args()
args["type"] = "knowledge"
TagService.delete_tag_binding(args)
return 204
class DatasetTagsBindingStatusApi(DatasetApiResource):
@validate_dataset_token
def get(self, _, *args, **kwargs):
"""Get all knowledge type tags."""
dataset_id = kwargs.get("dataset_id")
tags = TagService.get_tags_by_target_id("knowledge", current_user.current_tenant_id, str(dataset_id))
tags_list = [{"id": tag.id, "name": tag.name} for tag in tags]
response = {"data": tags_list, "total": len(tags)}
return response, 200
api.add_resource(DatasetListApi, "/datasets")
api.add_resource(DatasetApi, "/datasets/<uuid:dataset_id>")
api.add_resource(DocumentStatusApi, "/datasets/<uuid:dataset_id>/documents/status/<string:action>")
api.add_resource(DatasetTagsApi, "/datasets/tags")
api.add_resource(DatasetTagBindingApi, "/datasets/tags/binding")
api.add_resource(DatasetTagUnbindingApi, "/datasets/tags/unbinding")
api.add_resource(DatasetTagsBindingStatusApi, "/datasets/<uuid:dataset_id>/tags")

View File

@ -2,10 +2,10 @@ import json
from flask import request
from flask_restful import marshal, reqparse
from sqlalchemy import desc
from sqlalchemy import desc, select
from werkzeug.exceptions import NotFound
import services.dataset_service
import services
from controllers.common.errors import FilenameNotExistsError
from controllers.service_api import api
from controllers.service_api.app.error import (
@ -19,7 +19,11 @@ from controllers.service_api.dataset.error import (
ArchivedDocumentImmutableError,
DocumentIndexingError,
)
from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
from controllers.service_api.wraps import (
DatasetApiResource,
cloud_edition_billing_rate_limit_check,
cloud_edition_billing_resource_check,
)
from core.errors.error import ProviderTokenNotInitError
from extensions.ext_database import db
from fields.document_fields import document_fields, document_status_fields
@ -35,6 +39,7 @@ class DocumentAddByTextApi(DatasetApiResource):
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_resource_check("documents", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id):
"""Create document by text."""
parser = reqparse.RequestParser()
@ -99,6 +104,7 @@ class DocumentUpdateByTextApi(DatasetApiResource):
"""Resource for update documents."""
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id, document_id):
"""Update document by text."""
parser = reqparse.RequestParser()
@ -158,6 +164,7 @@ class DocumentAddByFileApi(DatasetApiResource):
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_resource_check("documents", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id):
"""Create document by upload file."""
args = {}
@ -175,8 +182,11 @@ class DocumentAddByFileApi(DatasetApiResource):
if not dataset:
raise ValueError("Dataset does not exist.")
if not dataset.indexing_technique and not args.get("indexing_technique"):
indexing_technique = args.get("indexing_technique") or dataset.indexing_technique
if not indexing_technique:
raise ValueError("indexing_technique is required.")
args["indexing_technique"] = indexing_technique
# save file info
file = request.files["file"]
@ -206,12 +216,16 @@ class DocumentAddByFileApi(DatasetApiResource):
knowledge_config = KnowledgeConfig(**args)
DocumentService.document_create_args_validate(knowledge_config)
dataset_process_rule = dataset.latest_process_rule if "process_rule" not in args else None
if not knowledge_config.original_document_id and not dataset_process_rule and not knowledge_config.process_rule:
raise ValueError("process_rule is required.")
try:
documents, batch = DocumentService.save_document_with_dataset_id(
dataset=dataset,
knowledge_config=knowledge_config,
account=dataset.created_by_account,
dataset_process_rule=dataset.latest_process_rule if "process_rule" not in args else None,
dataset_process_rule=dataset_process_rule,
created_from="api",
)
except ProviderTokenNotInitError as ex:
@ -225,6 +239,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):
"""Resource for update documents."""
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id, document_id):
"""Update document by upload file."""
args = {}
@ -295,6 +310,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):
class DocumentDeleteApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def delete(self, tenant_id, dataset_id, document_id):
"""Delete document."""
document_id = str(document_id)
@ -323,7 +339,7 @@ class DocumentDeleteApi(DatasetApiResource):
except services.errors.document.DocumentIndexingError:
raise DocumentIndexingError("Cannot delete document during indexing.")
return {"result": "success"}, 204
return 204
class DocumentListApi(DatasetApiResource):
@ -337,7 +353,7 @@ class DocumentListApi(DatasetApiResource):
if not dataset:
raise NotFound("Dataset not found.")
query = Document.query.filter_by(dataset_id=str(dataset_id), tenant_id=tenant_id)
query = select(Document).filter_by(dataset_id=str(dataset_id), tenant_id=tenant_id)
if search:
search = f"%{search}%"
@ -345,7 +361,7 @@ class DocumentListApi(DatasetApiResource):
query = query.order_by(desc(Document.created_at), desc(Document.position))
paginated_documents = query.paginate(page=page, per_page=limit, max_per_page=100, error_out=False)
paginated_documents = db.paginate(select=query, page=page, per_page=limit, max_per_page=100, error_out=False)
documents = paginated_documents.items
response = {
@ -374,19 +390,36 @@ class DocumentIndexingStatusApi(DatasetApiResource):
raise NotFound("Documents not found.")
documents_status = []
for document in documents:
completed_segments = DocumentSegment.query.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
).count()
total_segments = DocumentSegment.query.filter(
DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment"
).count()
document.completed_segments = completed_segments
document.total_segments = total_segments
if document.is_paused:
document.indexing_status = "paused"
documents_status.append(marshal(document, document_status_fields))
completed_segments = (
db.session.query(DocumentSegment)
.filter(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != "re_segment",
)
.count()
)
total_segments = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment")
.count()
)
# Create a dictionary with document attributes and additional fields
document_dict = {
"id": document.id,
"indexing_status": "paused" if document.is_paused else document.indexing_status,
"processing_started_at": document.processing_started_at,
"parsing_completed_at": document.parsing_completed_at,
"cleaning_completed_at": document.cleaning_completed_at,
"splitting_completed_at": document.splitting_completed_at,
"completed_at": document.completed_at,
"paused_at": document.paused_at,
"error": document.error,
"stopped_at": document.stopped_at,
"completed_segments": completed_segments,
"total_segments": total_segments,
}
documents_status.append(marshal(document_dict, document_status_fields))
data = {"data": documents_status}
return data

View File

@ -1,9 +1,10 @@
from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase
from controllers.service_api import api
from controllers.service_api.wraps import DatasetApiResource
from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_rate_limit_check
class HitTestingApi(DatasetApiResource, DatasetsHitTestingBase):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id):
dataset_id_str = str(dataset_id)

View File

@ -3,7 +3,7 @@ from flask_restful import marshal, reqparse
from werkzeug.exceptions import NotFound
from controllers.service_api import api
from controllers.service_api.wraps import DatasetApiResource
from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_rate_limit_check
from fields.dataset_fields import dataset_metadata_fields
from services.dataset_service import DatasetService
from services.entities.knowledge_entities.knowledge_entities import (
@ -14,6 +14,7 @@ from services.metadata_service import MetadataService
class DatasetMetadataCreateServiceApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id):
parser = reqparse.RequestParser()
parser.add_argument("type", type=str, required=True, nullable=True, location="json")
@ -39,6 +40,7 @@ class DatasetMetadataCreateServiceApi(DatasetApiResource):
class DatasetMetadataServiceApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def patch(self, tenant_id, dataset_id, metadata_id):
parser = reqparse.RequestParser()
parser.add_argument("name", type=str, required=True, nullable=True, location="json")
@ -54,6 +56,7 @@ class DatasetMetadataServiceApi(DatasetApiResource):
metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, args.get("name"))
return marshal(metadata, dataset_metadata_fields), 200
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def delete(self, tenant_id, dataset_id, metadata_id):
dataset_id_str = str(dataset_id)
metadata_id_str = str(metadata_id)
@ -73,6 +76,7 @@ class DatasetMetadataBuiltInFieldServiceApi(DatasetApiResource):
class DatasetMetadataBuiltInFieldActionServiceApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id, action):
dataset_id_str = str(dataset_id)
dataset = DatasetService.get_dataset(dataset_id_str)
@ -88,6 +92,7 @@ class DatasetMetadataBuiltInFieldActionServiceApi(DatasetApiResource):
class DocumentMetadataEditServiceApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id):
dataset_id_str = str(dataset_id)
dataset = DatasetService.get_dataset(dataset_id_str)

View File

@ -8,6 +8,7 @@ from controllers.service_api.app.error import ProviderNotInitializeError
from controllers.service_api.wraps import (
DatasetApiResource,
cloud_edition_billing_knowledge_limit_check,
cloud_edition_billing_rate_limit_check,
cloud_edition_billing_resource_check,
)
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
@ -35,6 +36,7 @@ class SegmentApi(DatasetApiResource):
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id, document_id):
"""Create single segment."""
# check dataset
@ -139,6 +141,7 @@ class SegmentApi(DatasetApiResource):
class DatasetSegmentApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def delete(self, tenant_id, dataset_id, document_id, segment_id):
# check dataset
dataset_id = str(dataset_id)
@ -159,9 +162,10 @@ class DatasetSegmentApi(DatasetApiResource):
if not segment:
raise NotFound("Segment not found.")
SegmentService.delete_segment(segment, document, dataset)
return {"result": "success"}, 204
return 204
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id, document_id, segment_id):
# check dataset
dataset_id = str(dataset_id)
@ -208,12 +212,35 @@ class DatasetSegmentApi(DatasetApiResource):
)
return {"data": marshal(updated_segment, segment_fields), "doc_form": document.doc_form}, 200
def get(self, tenant_id, dataset_id, document_id, segment_id):
# check dataset
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
if not dataset:
raise NotFound("Dataset not found.")
# check user's model setting
DatasetService.check_dataset_model_setting(dataset)
# check document
document_id = str(document_id)
document = DocumentService.get_document(dataset_id, document_id)
if not document:
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = SegmentService.get_segment_by_id(segment_id=segment_id, tenant_id=current_user.current_tenant_id)
if not segment:
raise NotFound("Segment not found.")
return {"data": marshal(segment, segment_fields), "doc_form": document.doc_form}, 200
class ChildChunkApi(DatasetApiResource):
"""Resource for child chunks."""
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id, dataset_id, document_id, segment_id):
"""Create child chunk."""
# check dataset
@ -310,6 +337,7 @@ class DatasetChildChunkApi(DatasetApiResource):
"""Resource for updating child chunks."""
@cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def delete(self, tenant_id, dataset_id, document_id, segment_id, child_chunk_id):
"""Delete child chunk."""
# check dataset
@ -344,10 +372,11 @@ class DatasetChildChunkApi(DatasetApiResource):
except ChildChunkDeleteIndexServiceError as e:
raise ChildChunkDeleteIndexError(str(e))
return {"result": "success"}, 204
return 204
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def patch(self, tenant_id, dataset_id, document_id, segment_id, child_chunk_id):
"""Update child chunk."""
# check dataset

View File

@ -99,7 +99,12 @@ def validate_app_token(view: Optional[Callable] = None, *, fetch_user_arg: Optio
if user_id:
user_id = str(user_id)
kwargs["end_user"] = create_or_update_end_user_for_user_id(app_model, user_id)
end_user = create_or_update_end_user_for_user_id(app_model, user_id)
kwargs["end_user"] = end_user
# Set EndUser as current logged-in user for flask_login.current_user
current_app.login_manager._update_request_context_with_user(end_user) # type: ignore
user_logged_in.send(current_app._get_current_object(), user=end_user) # type: ignore
return view_func(*args, **kwargs)

View File

@ -15,4 +15,17 @@ api.add_resource(FileApi, "/files/upload")
api.add_resource(RemoteFileInfoApi, "/remote-files/<path:url>")
api.add_resource(RemoteFileUploadApi, "/remote-files/upload")
from . import app, audio, completion, conversation, feature, message, passport, saved_message, site, workflow
from . import (
app,
audio,
completion,
conversation,
feature,
forgot_password,
login,
message,
passport,
saved_message,
site,
workflow,
)

View File

@ -1,12 +1,17 @@
from flask_restful import marshal_with
from flask import request
from flask_restful import Resource, marshal_with, reqparse
from controllers.common import fields
from controllers.web import api
from controllers.web.error import AppUnavailableError
from controllers.web.wraps import WebApiResource
from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict
from libs.passport import PassportService
from models.model import App, AppMode
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
from services.webapp_auth_service import WebAppAuthService
class AppParameterApi(WebApiResource):
@ -40,5 +45,69 @@ class AppMeta(WebApiResource):
return AppService().get_app_meta(app_model)
class AppAccessMode(Resource):
def get(self):
parser = reqparse.RequestParser()
parser.add_argument("appId", type=str, required=False, location="args")
parser.add_argument("appCode", type=str, required=False, location="args")
args = parser.parse_args()
features = FeatureService.get_system_features()
if not features.webapp_auth.enabled:
return {"accessMode": "public"}
app_id = args.get("appId")
if args.get("appCode"):
app_code = args["appCode"]
app_id = AppService.get_app_id_by_code(app_code)
if not app_id:
raise ValueError("appId or appCode must be provided")
res = EnterpriseService.WebAppAuth.get_app_access_mode_by_id(app_id)
return {"accessMode": res.access_mode}
class AppWebAuthPermission(Resource):
def get(self):
user_id = "visitor"
try:
auth_header = request.headers.get("Authorization")
if auth_header is None:
raise
if " " not in auth_header:
raise
auth_scheme, tk = auth_header.split(None, 1)
auth_scheme = auth_scheme.lower()
if auth_scheme != "bearer":
raise
decoded = PassportService().verify(tk)
user_id = decoded.get("user_id", "visitor")
except Exception as e:
pass
features = FeatureService.get_system_features()
if not features.webapp_auth.enabled:
return {"result": True}
parser = reqparse.RequestParser()
parser.add_argument("appId", type=str, required=True, location="args")
args = parser.parse_args()
app_id = args["appId"]
app_code = AppService.get_app_code_by_id(app_id)
res = True
if WebAppAuthService.is_app_require_permission_check(app_id=app_id):
res = EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(str(user_id), app_code)
return {"result": res}
api.add_resource(AppParameterApi, "/parameters")
api.add_resource(AppMeta, "/meta")
# webapp auth apis
api.add_resource(AppAccessMode, "/webapp/access-mode")
api.add_resource(AppWebAuthPermission, "/webapp/permission")

View File

@ -121,9 +121,15 @@ class UnsupportedFileTypeError(BaseHTTPException):
code = 415
class WebSSOAuthRequiredError(BaseHTTPException):
class WebAppAuthRequiredError(BaseHTTPException):
error_code = "web_sso_auth_required"
description = "Web SSO authentication required."
description = "Web app authentication required."
code = 401
class WebAppAuthAccessDeniedError(BaseHTTPException):
error_code = "web_app_access_denied"
description = "You do not have permission to access this web app."
code = 401

View File

@ -0,0 +1,147 @@
import base64
import secrets
from flask import request
from flask_restful import Resource, reqparse
from sqlalchemy import select
from sqlalchemy.orm import Session
from controllers.console.auth.error import (
EmailCodeError,
EmailPasswordResetLimitError,
InvalidEmailError,
InvalidTokenError,
PasswordMismatchError,
)
from controllers.console.error import AccountNotFound, EmailSendIpLimitError
from controllers.console.wraps import email_password_login_enabled, only_edition_enterprise, setup_required
from controllers.web import api
from extensions.ext_database import db
from libs.helper import email, extract_remote_ip
from libs.password import hash_password, valid_password
from models.account import Account
from services.account_service import AccountService
class ForgotPasswordSendEmailApi(Resource):
@only_edition_enterprise
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
parser.add_argument("language", type=str, required=False, location="json")
args = parser.parse_args()
ip_address = extract_remote_ip(request)
if AccountService.is_email_send_ip_limit(ip_address):
raise EmailSendIpLimitError()
if args["language"] is not None and args["language"] == "zh-Hans":
language = "zh-Hans"
else:
language = "en-US"
with Session(db.engine) as session:
account = session.execute(select(Account).filter_by(email=args["email"])).scalar_one_or_none()
token = None
if account is None:
raise AccountNotFound()
else:
token = AccountService.send_reset_password_email(account=account, email=args["email"], language=language)
return {"result": "success", "data": token}
class ForgotPasswordCheckApi(Resource):
@only_edition_enterprise
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
parser.add_argument("code", type=str, required=True, location="json")
parser.add_argument("token", type=str, required=True, nullable=False, location="json")
args = parser.parse_args()
user_email = args["email"]
is_forgot_password_error_rate_limit = AccountService.is_forgot_password_error_rate_limit(args["email"])
if is_forgot_password_error_rate_limit:
raise EmailPasswordResetLimitError()
token_data = AccountService.get_reset_password_data(args["token"])
if token_data is None:
raise InvalidTokenError()
if user_email != token_data.get("email"):
raise InvalidEmailError()
if args["code"] != token_data.get("code"):
AccountService.add_forgot_password_error_rate_limit(args["email"])
raise EmailCodeError()
# Verified, revoke the first token
AccountService.revoke_reset_password_token(args["token"])
# Refresh token data by generating a new token
_, new_token = AccountService.generate_reset_password_token(
user_email, code=args["code"], additional_data={"phase": "reset"}
)
AccountService.reset_forgot_password_error_rate_limit(args["email"])
return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
class ForgotPasswordResetApi(Resource):
@only_edition_enterprise
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("token", type=str, required=True, nullable=False, location="json")
parser.add_argument("new_password", type=valid_password, required=True, nullable=False, location="json")
parser.add_argument("password_confirm", type=valid_password, required=True, nullable=False, location="json")
args = parser.parse_args()
# Validate passwords match
if args["new_password"] != args["password_confirm"]:
raise PasswordMismatchError()
# Validate token and get reset data
reset_data = AccountService.get_reset_password_data(args["token"])
if not reset_data:
raise InvalidTokenError()
# Must use token in reset phase
if reset_data.get("phase", "") != "reset":
raise InvalidTokenError()
# Revoke token to prevent reuse
AccountService.revoke_reset_password_token(args["token"])
# Generate secure salt and hash password
salt = secrets.token_bytes(16)
password_hashed = hash_password(args["new_password"], salt)
email = reset_data.get("email", "")
with Session(db.engine) as session:
account = session.execute(select(Account).filter_by(email=email)).scalar_one_or_none()
if account:
self._update_existing_account(account, password_hashed, salt, session)
else:
raise AccountNotFound()
return {"result": "success"}
def _update_existing_account(self, account, password_hashed, salt, session):
# Update existing account credentials
account.password = base64.b64encode(password_hashed).decode()
account.password_salt = base64.b64encode(salt).decode()
session.commit()
api.add_resource(ForgotPasswordSendEmailApi, "/forgot-password")
api.add_resource(ForgotPasswordCheckApi, "/forgot-password/validity")
api.add_resource(ForgotPasswordResetApi, "/forgot-password/resets")

View File

@ -0,0 +1,108 @@
from flask_restful import Resource, reqparse
from jwt import InvalidTokenError # type: ignore
import services
from controllers.console.auth.error import EmailCodeError, EmailOrPasswordMismatchError, InvalidEmailError
from controllers.console.error import AccountBannedError, AccountNotFound
from controllers.console.wraps import only_edition_enterprise, setup_required
from controllers.web import api
from libs.helper import email
from libs.password import valid_password
from services.account_service import AccountService
from services.webapp_auth_service import WebAppAuthService
class LoginApi(Resource):
"""Resource for web app email/password login."""
@setup_required
@only_edition_enterprise
def post(self):
"""Authenticate user and login."""
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
parser.add_argument("password", type=valid_password, required=True, location="json")
args = parser.parse_args()
try:
account = WebAppAuthService.authenticate(args["email"], args["password"])
except services.errors.account.AccountLoginError:
raise AccountBannedError()
except services.errors.account.AccountPasswordError:
raise EmailOrPasswordMismatchError()
except services.errors.account.AccountNotFoundError:
raise AccountNotFound()
token = WebAppAuthService.login(account=account)
return {"result": "success", "data": {"access_token": token}}
# class LogoutApi(Resource):
# @setup_required
# def get(self):
# account = cast(Account, flask_login.current_user)
# if isinstance(account, flask_login.AnonymousUserMixin):
# return {"result": "success"}
# flask_login.logout_user()
# return {"result": "success"}
class EmailCodeLoginSendEmailApi(Resource):
@setup_required
@only_edition_enterprise
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
parser.add_argument("language", type=str, required=False, location="json")
args = parser.parse_args()
if args["language"] is not None and args["language"] == "zh-Hans":
language = "zh-Hans"
else:
language = "en-US"
account = WebAppAuthService.get_user_through_email(args["email"])
if account is None:
raise AccountNotFound()
else:
token = WebAppAuthService.send_email_code_login_email(account=account, language=language)
return {"result": "success", "data": token}
class EmailCodeLoginApi(Resource):
@setup_required
@only_edition_enterprise
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
parser.add_argument("code", type=str, required=True, location="json")
parser.add_argument("token", type=str, required=True, location="json")
args = parser.parse_args()
user_email = args["email"]
token_data = WebAppAuthService.get_email_code_login_data(args["token"])
if token_data is None:
raise InvalidTokenError()
if token_data["email"] != args["email"]:
raise InvalidEmailError()
if token_data["code"] != args["code"]:
raise EmailCodeError()
WebAppAuthService.revoke_email_code_login_token(args["token"])
account = WebAppAuthService.get_user_through_email(user_email)
if not account:
raise AccountNotFound()
token = WebAppAuthService.login(account=account)
AccountService.reset_login_error_rate_limit(args["email"])
return {"result": "success", "data": {"access_token": token}}
api.add_resource(LoginApi, "/login")
# api.add_resource(LogoutApi, "/logout")
api.add_resource(EmailCodeLoginSendEmailApi, "/email-code-login")
api.add_resource(EmailCodeLoginApi, "/email-code-login/validity")

View File

@ -1,16 +1,19 @@
import uuid
from datetime import UTC, datetime, timedelta
from flask import request
from flask_restful import Resource
from werkzeug.exceptions import NotFound, Unauthorized
from configs import dify_config
from controllers.web import api
from controllers.web.error import WebSSOAuthRequiredError
from controllers.web.error import WebAppAuthRequiredError
from extensions.ext_database import db
from libs.passport import PassportService
from models.model import App, EndUser, Site
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
from services.webapp_auth_service import WebAppAuthService, WebAppAuthType
class PassportResource(Resource):
@ -20,14 +23,23 @@ class PassportResource(Resource):
system_features = FeatureService.get_system_features()
app_code = request.headers.get("X-App-Code")
user_id = request.args.get("user_id")
web_app_access_token = request.args.get("web_app_access_token")
if app_code is None:
raise Unauthorized("X-App-Code header is missing.")
if system_features.sso_enforced_for_web:
app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get("enabled", False)
if app_web_sso_enabled:
raise WebSSOAuthRequiredError()
# exchange token for enterprise logined web user
enterprise_user_decoded = decode_enterprise_webapp_user_id(web_app_access_token)
if enterprise_user_decoded:
# a web user has already logged in, exchange a token for this app without redirecting to the login page
return exchange_token_for_existing_web_user(
app_code=app_code, enterprise_user_decoded=enterprise_user_decoded
)
if system_features.webapp_auth.enabled:
app_settings = EnterpriseService.WebAppAuth.get_app_access_mode_by_code(app_code=app_code)
if not app_settings or not app_settings.access_mode == "public":
raise WebAppAuthRequiredError()
# get site from db and check if it is normal
site = db.session.query(Site).filter(Site.code == app_code, Site.status == "normal").first()
@ -84,6 +96,128 @@ class PassportResource(Resource):
api.add_resource(PassportResource, "/passport")
def decode_enterprise_webapp_user_id(jwt_token: str | None):
"""
Decode the enterprise user session from the Authorization header.
"""
if not jwt_token:
return None
decoded = PassportService().verify(jwt_token)
source = decoded.get("token_source")
if not source or source != "webapp_login_token":
raise Unauthorized("Invalid token source. Expected 'webapp_login_token'.")
return decoded
def exchange_token_for_existing_web_user(app_code: str, enterprise_user_decoded: dict):
"""
Exchange a token for an existing web user session.
"""
user_id = enterprise_user_decoded.get("user_id")
end_user_id = enterprise_user_decoded.get("end_user_id")
session_id = enterprise_user_decoded.get("session_id")
user_auth_type = enterprise_user_decoded.get("auth_type")
if not user_auth_type:
raise Unauthorized("Missing auth_type in the token.")
site = db.session.query(Site).filter(Site.code == app_code, Site.status == "normal").first()
if not site:
raise NotFound()
app_model = db.session.query(App).filter(App.id == site.app_id).first()
if not app_model or app_model.status != "normal" or not app_model.enable_site:
raise NotFound()
app_auth_type = WebAppAuthService.get_app_auth_type(app_code=app_code)
if app_auth_type == WebAppAuthType.PUBLIC:
return _exchange_for_public_app_token(app_model, site, enterprise_user_decoded)
elif app_auth_type == WebAppAuthType.EXTERNAL and user_auth_type != "external":
raise WebAppAuthRequiredError("Please login as external user.")
elif app_auth_type == WebAppAuthType.INTERNAL and user_auth_type != "internal":
raise WebAppAuthRequiredError("Please login as internal user.")
end_user = None
if end_user_id:
end_user = db.session.query(EndUser).filter(EndUser.id == end_user_id).first()
if session_id:
end_user = (
db.session.query(EndUser)
.filter(
EndUser.session_id == session_id,
EndUser.tenant_id == app_model.tenant_id,
EndUser.app_id == app_model.id,
)
.first()
)
if not end_user:
if not session_id:
raise NotFound("Missing session_id for existing web user.")
end_user = EndUser(
tenant_id=app_model.tenant_id,
app_id=app_model.id,
type="browser",
is_anonymous=True,
session_id=session_id,
)
db.session.add(end_user)
db.session.commit()
exp_dt = datetime.now(UTC) + timedelta(minutes=dify_config.ACCESS_TOKEN_EXPIRE_MINUTES)
exp = int(exp_dt.timestamp())
payload = {
"iss": site.id,
"sub": "Web API Passport",
"app_id": site.app_id,
"app_code": site.code,
"user_id": user_id,
"end_user_id": end_user.id,
"auth_type": user_auth_type,
"granted_at": int(datetime.now(UTC).timestamp()),
"token_source": "webapp",
"exp": exp,
}
token: str = PassportService().issue(payload)
return {
"access_token": token,
}
def _exchange_for_public_app_token(app_model, site, token_decoded):
user_id = token_decoded.get("user_id")
end_user = None
if user_id:
end_user = (
db.session.query(EndUser).filter(EndUser.app_id == app_model.id, EndUser.session_id == user_id).first()
)
if not end_user:
end_user = EndUser(
tenant_id=app_model.tenant_id,
app_id=app_model.id,
type="browser",
is_anonymous=True,
session_id=generate_session_id(),
)
db.session.add(end_user)
db.session.commit()
payload = {
"iss": site.app_id,
"sub": "Web API Passport",
"app_id": site.app_id,
"app_code": site.code,
"end_user_id": end_user.id,
}
tk = PassportService().issue(payload)
return {
"access_token": tk,
}
def generate_session_id():
"""
Generate a unique session ID.

View File

@ -1,15 +1,17 @@
from datetime import UTC, datetime
from functools import wraps
from flask import request
from flask_restful import Resource
from werkzeug.exceptions import BadRequest, NotFound, Unauthorized
from controllers.web.error import WebSSOAuthRequiredError
from controllers.web.error import WebAppAuthAccessDeniedError, WebAppAuthRequiredError
from extensions.ext_database import db
from libs.passport import PassportService
from models.model import App, EndUser, Site
from services.enterprise.enterprise_service import EnterpriseService
from services.enterprise.enterprise_service import EnterpriseService, WebAppSettings
from services.feature_service import FeatureService
from services.webapp_auth_service import WebAppAuthService
def validate_jwt_token(view=None):
@ -29,7 +31,7 @@ def validate_jwt_token(view=None):
def decode_jwt_token():
system_features = FeatureService.get_system_features()
app_code = request.headers.get("X-App-Code")
app_code = str(request.headers.get("X-App-Code"))
try:
auth_header = request.headers.get("Authorization")
if auth_header is None:
@ -45,7 +47,8 @@ def decode_jwt_token():
raise Unauthorized("Invalid Authorization header format. Expected 'Bearer <api-key>' format.")
decoded = PassportService().verify(tk)
app_code = decoded.get("app_code")
app_model = db.session.query(App).filter(App.id == decoded["app_id"]).first()
app_id = decoded.get("app_id")
app_model = db.session.query(App).filter(App.id == app_id).first()
site = db.session.query(Site).filter(Site.code == app_code).first()
if not app_model:
raise NotFound()
@ -53,39 +56,90 @@ def decode_jwt_token():
raise BadRequest("Site URL is no longer valid.")
if app_model.enable_site is False:
raise BadRequest("Site is disabled.")
end_user = db.session.query(EndUser).filter(EndUser.id == decoded["end_user_id"]).first()
end_user_id = decoded.get("end_user_id")
end_user = db.session.query(EndUser).filter(EndUser.id == end_user_id).first()
if not end_user:
raise NotFound()
_validate_web_sso_token(decoded, system_features, app_code)
# for enterprise webapp auth
app_web_auth_enabled = False
webapp_settings = None
if system_features.webapp_auth.enabled:
webapp_settings = EnterpriseService.WebAppAuth.get_app_access_mode_by_code(app_code=app_code)
if not webapp_settings:
raise NotFound("Web app settings not found.")
app_web_auth_enabled = webapp_settings.access_mode != "public"
_validate_webapp_token(decoded, app_web_auth_enabled, system_features.webapp_auth.enabled)
_validate_user_accessibility(
decoded, app_code, app_web_auth_enabled, system_features.webapp_auth.enabled, webapp_settings
)
return app_model, end_user
except Unauthorized as e:
if system_features.sso_enforced_for_web:
app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get("enabled", False)
if app_web_sso_enabled:
raise WebSSOAuthRequiredError()
if system_features.webapp_auth.enabled:
if not app_code:
raise Unauthorized("Please re-login to access the web app.")
app_web_auth_enabled = (
EnterpriseService.WebAppAuth.get_app_access_mode_by_code(app_code=str(app_code)).access_mode != "public"
)
if app_web_auth_enabled:
raise WebAppAuthRequiredError()
raise Unauthorized(e.description)
def _validate_web_sso_token(decoded, system_features, app_code):
app_web_sso_enabled = False
# Check if SSO is enforced for web, and if the token source is not SSO, raise an error and redirect to SSO login
if system_features.sso_enforced_for_web:
app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get("enabled", False)
if app_web_sso_enabled:
source = decoded.get("token_source")
if not source or source != "sso":
raise WebSSOAuthRequiredError()
# Check if SSO is not enforced for web, and if the token source is SSO,
# raise an error and redirect to normal passport login
if not system_features.sso_enforced_for_web or not app_web_sso_enabled:
def _validate_webapp_token(decoded, app_web_auth_enabled: bool, system_webapp_auth_enabled: bool):
# Check if authentication is enforced for web app, and if the token source is not webapp,
# raise an error and redirect to login
if system_webapp_auth_enabled and app_web_auth_enabled:
source = decoded.get("token_source")
if source and source == "sso":
raise Unauthorized("sso token expired.")
if not source or source != "webapp":
raise WebAppAuthRequiredError()
# Check if authentication is not enforced for web, and if the token source is webapp,
# raise an error and redirect to normal passport login
if not system_webapp_auth_enabled or not app_web_auth_enabled:
source = decoded.get("token_source")
if source and source == "webapp":
raise Unauthorized("webapp token expired.")
def _validate_user_accessibility(
decoded,
app_code,
app_web_auth_enabled: bool,
system_webapp_auth_enabled: bool,
webapp_settings: WebAppSettings | None,
):
if system_webapp_auth_enabled and app_web_auth_enabled:
# Check if the user is allowed to access the web app
user_id = decoded.get("user_id")
if not user_id:
raise WebAppAuthRequiredError()
if not webapp_settings:
raise WebAppAuthRequiredError("Web app settings not found.")
if WebAppAuthService.is_app_require_permission_check(access_mode=webapp_settings.access_mode):
if not EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(user_id, app_code=app_code):
raise WebAppAuthAccessDeniedError()
auth_type = decoded.get("auth_type")
granted_at = decoded.get("granted_at")
if not auth_type:
raise WebAppAuthAccessDeniedError("Missing auth_type in the token.")
if not granted_at:
raise WebAppAuthAccessDeniedError("Missing granted_at in the token.")
# check if sso has been updated
if auth_type == "external":
last_update_time = EnterpriseService.get_app_sso_settings_last_update_time()
if granted_at and datetime.fromtimestamp(granted_at, tz=UTC) < last_update_time:
raise WebAppAuthAccessDeniedError("SSO settings have been updated. Please re-login.")
elif auth_type == "internal":
last_update_time = EnterpriseService.get_workspace_sso_settings_last_update_time()
if granted_at and datetime.fromtimestamp(granted_at, tz=UTC) < last_update_time:
raise WebAppAuthAccessDeniedError("SSO settings have been updated. Please re-login.")
class WebApiResource(Resource):

View File

@ -63,7 +63,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
self._instruction = self._fill_in_inputs_from_external_data_tools(instruction, inputs)
iteration_step = 1
max_iteration_steps = min(app_config.agent.max_iteration if app_config.agent else 5, 5) + 1
max_iteration_steps = min(app_config.agent.max_iteration, 99) + 1
# convert tools into ModelRuntime Tool format
tool_instances, prompt_messages_tools = self._init_prompt_tools()

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@ -82,7 +82,7 @@ class AgentEntity(BaseModel):
strategy: Strategy
prompt: Optional[AgentPromptEntity] = None
tools: Optional[list[AgentToolEntity]] = None
max_iteration: int = 5
max_iteration: int = 10
class AgentInvokeMessage(ToolInvokeMessage):

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@ -48,7 +48,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
assert app_config.agent
iteration_step = 1
max_iteration_steps = min(app_config.agent.max_iteration, 5) + 1
max_iteration_steps = min(app_config.agent.max_iteration, 99) + 1
# continue to run until there is not any tool call
function_call_state = True

View File

@ -75,7 +75,7 @@ class AgentConfigManager:
strategy=strategy,
prompt=agent_prompt_entity,
tools=agent_tools,
max_iteration=agent_dict.get("max_iteration", 5),
max_iteration=agent_dict.get("max_iteration", 10),
)
return None

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@ -138,15 +138,12 @@ class DatasetConfigManager:
if not config.get("dataset_configs"):
config["dataset_configs"] = {"retrieval_model": "single"}
if not isinstance(config["dataset_configs"], dict):
raise ValueError("dataset_configs must be of object type")
if not config["dataset_configs"].get("datasets"):
config["dataset_configs"]["datasets"] = {"strategy": "router", "datasets": []}
if not isinstance(config["dataset_configs"], dict):
raise ValueError("dataset_configs must be of object type")
if not isinstance(config["dataset_configs"], dict):
raise ValueError("dataset_configs must be of object type")
need_manual_query_datasets = config.get("dataset_configs") and config["dataset_configs"].get(
"datasets", {}
).get("datasets")

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@ -70,7 +70,7 @@ class ModelConfigConverter:
if not model_mode:
model_mode = LLMMode.CHAT.value
if model_schema and model_schema.model_properties.get(ModelPropertyKey.MODE):
model_mode = LLMMode.value_of(model_schema.model_properties[ModelPropertyKey.MODE]).value
model_mode = LLMMode(model_schema.model_properties[ModelPropertyKey.MODE]).value
if not model_schema:
raise ValueError(f"Model {model_name} not exist.")

View File

@ -109,6 +109,7 @@ class VariableEntity(BaseModel):
description: str = ""
type: VariableEntityType
required: bool = False
hide: bool = False
max_length: Optional[int] = None
options: Sequence[str] = Field(default_factory=list)
allowed_file_types: Sequence[FileType] = Field(default_factory=list)

View File

@ -26,12 +26,14 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from core.prompt.utils.get_thread_messages_length import get_thread_messages_length
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from factories import file_factory
from models.account import Account
from models.model import App, Conversation, EndUser, Message
from models.workflow import Workflow
from libs.flask_utils import preserve_flask_contexts
from models import Account, App, Conversation, EndUser, Message, Workflow, WorkflowNodeExecutionTriggeredFrom
from models.enums import WorkflowRunTriggeredFrom
from services.conversation_service import ConversationService
from services.errors.message import MessageNotExistsError
@ -157,16 +159,30 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
trace_manager=trace_manager,
workflow_run_id=workflow_run_id,
)
contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
# Create repositories
#
# Create session factory
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
# Create workflow execution(aka workflow run) repository
if invoke_from == InvokeFrom.DEBUGGER:
workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING
else:
workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=workflow_triggered_from,
)
# Create workflow node execution repository
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
session_factory=session_factory,
tenant_id=application_generate_entity.app_config.tenant_id,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
)
return self._generate(
@ -174,6 +190,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
user=user,
invoke_from=invoke_from,
application_generate_entity=application_generate_entity,
workflow_execution_repository=workflow_execution_repository,
workflow_node_execution_repository=workflow_node_execution_repository,
conversation=conversation,
stream=streaming,
@ -223,16 +240,26 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
node_id=node_id, inputs=args["inputs"]
),
)
contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
# Create repositories
#
# Create session factory
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
# Create workflow execution(aka workflow run) repository
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
)
# Create workflow node execution repository
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
session_factory=session_factory,
tenant_id=application_generate_entity.app_config.tenant_id,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
)
return self._generate(
@ -240,6 +267,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
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,
conversation=None,
stream=streaming,
@ -287,16 +315,26 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
extras={"auto_generate_conversation_name": False},
single_loop_run=AdvancedChatAppGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args["inputs"]),
)
contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
# Create repositories
#
# Create session factory
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
# Create workflow execution(aka workflow run) repository
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
)
# Create workflow node execution repository
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
session_factory=session_factory,
tenant_id=application_generate_entity.app_config.tenant_id,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
)
return self._generate(
@ -304,6 +342,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
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,
conversation=None,
stream=streaming,
@ -316,6 +355,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
user: Union[Account, EndUser],
invoke_from: InvokeFrom,
application_generate_entity: AdvancedChatAppGenerateEntity,
workflow_execution_repository: WorkflowExecutionRepository,
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
conversation: Optional[Conversation] = None,
stream: bool = True,
@ -327,6 +367,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
:param user: account or end user
:param invoke_from: invoke from source
:param application_generate_entity: application generate entity
:param workflow_execution_repository: repository for workflow execution
:param workflow_node_execution_repository: repository for workflow node execution
:param conversation: conversation
:param stream: is stream
@ -357,7 +398,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
message_id=message.id,
)
# new thread
# new thread with request context and contextvars
context = contextvars.copy_context()
worker_thread = threading.Thread(
target=self._generate_worker,
kwargs={
@ -366,7 +409,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
"queue_manager": queue_manager,
"conversation_id": conversation.id,
"message_id": message.id,
"context": contextvars.copy_context(),
"context": context,
},
)
@ -380,6 +423,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
conversation=conversation,
message=message,
user=user,
workflow_execution_repository=workflow_execution_repository,
workflow_node_execution_repository=workflow_node_execution_repository,
stream=stream,
)
@ -404,9 +448,8 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
:param message_id: message ID
:return:
"""
for var, val in context.items():
var.set(val)
with flask_app.app_context():
with preserve_flask_contexts(flask_app, context_vars=context):
try:
# get conversation and message
conversation = self._get_conversation(conversation_id)
@ -452,6 +495,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
conversation: Conversation,
message: Message,
user: Union[Account, EndUser],
workflow_execution_repository: WorkflowExecutionRepository,
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
stream: bool = False,
) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]:
@ -475,9 +519,10 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
conversation=conversation,
message=message,
user=user,
stream=stream,
dialogue_count=self._dialogue_count,
workflow_execution_repository=workflow_execution_repository,
workflow_node_execution_repository=workflow_node_execution_repository,
stream=stream,
)
try:

View File

@ -140,7 +140,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
SystemVariableKey.DIALOGUE_COUNT: self._dialogue_count,
SystemVariableKey.APP_ID: app_config.app_id,
SystemVariableKey.WORKFLOW_ID: app_config.workflow_id,
SystemVariableKey.WORKFLOW_RUN_ID: self.application_generate_entity.workflow_run_id,
SystemVariableKey.WORKFLOW_EXECUTION_ID: self.application_generate_entity.workflow_run_id,
}
# init variable pool

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