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@@ -1,4 +1,4 @@
|
||||
# Devlopment with devcontainer
|
||||
# Development with devcontainer
|
||||
This project includes a devcontainer configuration that allows you to open the project in a container with a fully configured development environment.
|
||||
Both frontend and backend environments are initialized when the container is started.
|
||||
## GitHub Codespaces
|
||||
@@ -33,5 +33,5 @@ Performance Impact: While usually minimal, programs running inside a devcontaine
|
||||
if you see such error message when you open this project in codespaces:
|
||||

|
||||
|
||||
a simple workaround is change `/signin` endpoint into another one, then login with github account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
|
||||
a simple workaround is change `/signin` endpoint into another one, then login with GitHub account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
|
||||
The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)
|
||||
4
.github/ISSUE_TEMPLATE/bug_report.yml
vendored
4
.github/ISSUE_TEMPLATE/bug_report.yml
vendored
@@ -8,13 +8,13 @@ body:
|
||||
label: Self Checks
|
||||
description: "To make sure we get to you in time, please check the following :)"
|
||||
options:
|
||||
- label: This is only for bug report, if you would like to ask a quesion, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
|
||||
- label: This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
|
||||
required: true
|
||||
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
|
||||
required: true
|
||||
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
|
||||
required: true
|
||||
- label: "Pleas do not modify this template :) and fill in all the required fields."
|
||||
- label: "Please do not modify this template :) and fill in all the required fields."
|
||||
required: true
|
||||
|
||||
- type: input
|
||||
|
||||
4
.github/ISSUE_TEMPLATE/document_issue.yml
vendored
4
.github/ISSUE_TEMPLATE/document_issue.yml
vendored
@@ -1,7 +1,7 @@
|
||||
name: "📚 Documentation Issue"
|
||||
description: Report issues in our documentation
|
||||
labels:
|
||||
- ducumentation
|
||||
- documentation
|
||||
body:
|
||||
- type: checkboxes
|
||||
attributes:
|
||||
@@ -12,7 +12,7 @@ body:
|
||||
required: true
|
||||
- label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
|
||||
required: true
|
||||
- label: "Pleas do not modify this template :) and fill in all the required fields."
|
||||
- label: "Please do not modify this template :) and fill in all the required fields."
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
|
||||
2
.github/ISSUE_TEMPLATE/feature_request.yml
vendored
2
.github/ISSUE_TEMPLATE/feature_request.yml
vendored
@@ -12,7 +12,7 @@ body:
|
||||
required: true
|
||||
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
|
||||
required: true
|
||||
- label: "Pleas do not modify this template :) and fill in all the required fields."
|
||||
- label: "Please do not modify this template :) and fill in all the required fields."
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
|
||||
2
.github/ISSUE_TEMPLATE/translation_issue.yml
vendored
2
.github/ISSUE_TEMPLATE/translation_issue.yml
vendored
@@ -12,7 +12,7 @@ body:
|
||||
required: true
|
||||
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
|
||||
required: true
|
||||
- label: "Pleas do not modify this template :) and fill in all the required fields."
|
||||
- label: "Please do not modify this template :) and fill in all the required fields."
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
|
||||
5
.github/workflows/api-tests.yml
vendored
5
.github/workflows/api-tests.yml
vendored
@@ -46,11 +46,12 @@ jobs:
|
||||
docker/docker-compose.middleware.yaml
|
||||
services: |
|
||||
sandbox
|
||||
ssrf_proxy
|
||||
|
||||
- name: Run Workflow
|
||||
run: dev/pytest/pytest_workflow.sh
|
||||
|
||||
- name: Set up Vector Stores (Weaviate, Qdrant, Milvus, PgVecto-RS)
|
||||
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS)
|
||||
uses: hoverkraft-tech/compose-action@v2.0.0
|
||||
with:
|
||||
compose-file: |
|
||||
@@ -58,6 +59,7 @@ jobs:
|
||||
docker/docker-compose.qdrant.yaml
|
||||
docker/docker-compose.milvus.yaml
|
||||
docker/docker-compose.pgvecto-rs.yaml
|
||||
docker/docker-compose.pgvector.yaml
|
||||
services: |
|
||||
weaviate
|
||||
qdrant
|
||||
@@ -65,6 +67,7 @@ jobs:
|
||||
minio
|
||||
milvus-standalone
|
||||
pgvecto-rs
|
||||
pgvector
|
||||
|
||||
- name: Test Vector Stores
|
||||
run: dev/pytest/pytest_vdb.sh
|
||||
|
||||
160
CONTRIBUTING_JA.md
Normal file
160
CONTRIBUTING_JA.md
Normal file
@@ -0,0 +1,160 @@
|
||||
Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
|
||||
私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。
|
||||
|
||||
私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなたのようなコントリビューターの方々に、可能な限りスムーズな貢献体験をしていただきたいと思っています。そのためにこのコントリビュートガイドを作成しました。
|
||||
コードベースやコントリビュータの方々と私たちがどのように仕事をしているのかに慣れていただき、楽しいパートにすぐに飛び込めるようにすることが目的です。
|
||||
|
||||
このガイドは Dify そのものと同様に、継続的に改善されています。実際のプロジェクトに遅れをとることがあるかもしれませんが、ご理解をお願いします。
|
||||
|
||||
ライセンスに関しては、私たちの短い[ライセンスおよびコントリビューター規約](./LICENSE)をお読みください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を遵守しています。
|
||||
|
||||
## 飛び込む前に
|
||||
|
||||
[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
|
||||
|
||||
### 機能リクエスト
|
||||
|
||||
* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くの文脈を含めてください。[@perzeusss](https://github.com/perzeuss)は、あなたの要望を書き出すのに役立つ [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) を作ってくれました。気軽に試してみてください。
|
||||
|
||||
* 既存の課題から 1 つ選びたい場合は、その下にコメントを書いてください。
|
||||
|
||||
関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなたの作業が無駄になることがないよう、それまでこの機能の作業を控えていただくようお願いいたします。
|
||||
|
||||
提案された機能がどの分野に属するかによって、あなたは異なるチーム・メンバーと話をするかもしれません。以下は、各チームメンバーが現在取り組んでいる分野の概要です。
|
||||
|
||||
| Member | Scope |
|
||||
| --------------------------------------------------------------------------------------- | ------------------------------------ |
|
||||
| [@yeuoly](https://github.com/Yeuoly) | エージェントアーキテクチャ |
|
||||
| [@jyong](https://github.com/JohnJyong) | RAG パイプライン設計 |
|
||||
| [@GarfieldDai](https://github.com/GarfieldDai) | workflow orchestrations の構築 |
|
||||
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | フロントエンドを使いやすくする |
|
||||
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開発者体験、何でも相談できる窓口 |
|
||||
| [@takatost](https://github.com/takatost) | 全体的な製品の方向性とアーキテクチャ |
|
||||
|
||||
優先順位の付け方:
|
||||
|
||||
| Feature Type | Priority |
|
||||
| --------------------------------------------------------------------------------------------------------------------- | --------------- |
|
||||
| チームメンバーによってラベル付けされた優先度の高い機能 | High Priority |
|
||||
| [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks)の人気の機能リクエスト | Medium Priority |
|
||||
| 非コア機能とマイナーな機能強化 | Low Priority |
|
||||
| 価値はあるが即効性はない | Future-Feature |
|
||||
|
||||
### その他 (バグレポート、パフォーマンスの最適化、誤字の修正など)
|
||||
|
||||
* すぐにコーディングを始めてください
|
||||
|
||||
優先順位の付け方:
|
||||
|
||||
| Issue Type | Priority |
|
||||
| -------------------------------------------------------------------------------------- | --------------- |
|
||||
| コア機能のバグ(ログインできない、アプリケーションが動作しない、セキュリティの抜け穴) | Critical |
|
||||
| 致命的でないバグ、パフォーマンス向上 | Medium Priority |
|
||||
| 細かな修正(誤字脱字、機能はするが分かりにくい UI) | Low Priority |
|
||||
|
||||
## インストール
|
||||
|
||||
Dify を開発用にセットアップする手順は以下の通りです。
|
||||
|
||||
### 1. このリポジトリをフォークする
|
||||
|
||||
### 2. リポジトリをクローンする
|
||||
|
||||
フォークしたリポジトリをターミナルからクローンします。
|
||||
|
||||
```
|
||||
git clone git@github.com:<github_username>/dify.git
|
||||
```
|
||||
|
||||
### 3. 依存関係の確認
|
||||
|
||||
Dify を構築するには次の依存関係が必要です。それらがシステムにインストールされていることを確認してください。
|
||||
|
||||
- [Docker](https://www.docker.com/)
|
||||
- [Docker Compose](https://docs.docker.com/compose/install/)
|
||||
- [Node.js v18.x (LTS)](http://nodejs.org)
|
||||
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
|
||||
- [Python](https://www.python.org/) version 3.10.x
|
||||
|
||||
### 4. インストール
|
||||
|
||||
Dify はバックエンドとフロントエンドから構成されています。
|
||||
まず`cd api/`でバックエンドのディレクトリに移動し、[Backend README](api/README.md)に従ってインストールします。
|
||||
次に別のターミナルで、`cd web/`でフロントエンドのディレクトリに移動し、[Frontend README](web/README.md)に従ってインストールしてください。
|
||||
|
||||
よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/getting-started/faq/install-faq) を確認してください。
|
||||
|
||||
### 5. ブラウザで dify にアクセスする
|
||||
|
||||
設定を確認するために、ブラウザで[http://localhost:3000](http://localhost:3000)(デフォルト、または自分で設定した URL とポート)にアクセスしてください。Dify が起動して実行中であることが確認できるはずです。
|
||||
|
||||
## 開発中
|
||||
|
||||
モデルプロバイダーを追加する場合は、[このガイド](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)が役立ちます。
|
||||
|
||||
Agent や Workflow にツールプロバイダーを追加する場合は、[このガイド](./api/core/tools/README.md)が役立ちます。
|
||||
|
||||
Dify のバックエンドとフロントエンドの概要を簡単に説明します。
|
||||
|
||||
### バックエンド
|
||||
|
||||
Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/)を使って Python で書かれています。ORM には[SQLAlchemy](https://www.sqlalchemy.org/)を、タスクキューには[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)を使っています。認証ロジックは Flask-login 経由で行われます。
|
||||
|
||||
```
|
||||
[api/]
|
||||
├── constants // コードベース全体で使用される定数設定
|
||||
├── controllers // APIルート定義とリクエスト処理ロジック
|
||||
├── core // アプリケーションの中核的な管理、モデル統合、およびツール
|
||||
├── docker // Dockerおよびコンテナ関連の設定
|
||||
├── events // イベントのハンドリングと処理
|
||||
├── extensions // 第三者のフレームワーク/プラットフォームとの拡張
|
||||
├── fields // シリアライゼーション/マーシャリング用のフィールド定義
|
||||
├── libs // 再利用可能なライブラリとヘルパー
|
||||
├── migrations // データベースマイグレーションスクリプト
|
||||
├── models // データベースモデルとスキーマ定義
|
||||
├── services // ビジネスロジックの定義
|
||||
├── storage // 秘密鍵の保存
|
||||
├── tasks // 非同期タスクとバックグラウンドジョブの処理
|
||||
└── tests // テスト関連のファイル
|
||||
```
|
||||
|
||||
### フロントエンド
|
||||
|
||||
このウェブサイトは、Typescript の[Next.js](https://nextjs.org/)ボイラープレートでブートストラップされており、スタイリングには[Tailwind CSS](https://tailwindcss.com/)を使用しています。国際化には[React-i18next](https://react.i18next.com/)を使用しています。
|
||||
|
||||
```
|
||||
[web/]
|
||||
├── app // レイアウト、ページ、コンポーネント
|
||||
│ ├── (commonLayout) // アプリ全体で共通のレイアウト
|
||||
│ ├── (shareLayout) // トークン特有のセッションで共有されるレイアウト
|
||||
│ ├── activate // アクティベートページ
|
||||
│ ├── components // ページやレイアウトで共有されるコンポーネント
|
||||
│ ├── install // インストールページ
|
||||
│ ├── signin // サインインページ
|
||||
│ └── styles // グローバルに共有されるスタイル
|
||||
├── assets // 静的アセット
|
||||
├── bin // ビルドステップで実行されるスクリプト
|
||||
├── config // 調整可能な設定とオプション
|
||||
├── context // アプリの異なる部分で使用される共有コンテキスト
|
||||
├── dictionaries // 言語別の翻訳ファイル
|
||||
├── docker // コンテナ設定
|
||||
├── hooks // 再利用可能なフック
|
||||
├── i18n // 国際化設定
|
||||
├── models // データモデルとAPIレスポンスの形状を記述
|
||||
├── public // ファビコンなどのメタアセット
|
||||
├── service // APIアクションの形状を指定
|
||||
├── test
|
||||
├── types // 関数のパラメータと戻り値の記述
|
||||
└── utils // 共有ユーティリティ関数
|
||||
```
|
||||
|
||||
## PR を投稿する
|
||||
|
||||
いよいよ、私たちのリポジトリにプルリクエスト (PR) を提出する時が来ました。主要な機能については、まず `deploy/dev` ブランチにマージしてテストしてから `main` ブランチにマージします。
|
||||
マージ競合などの問題が発生した場合、またはプル リクエストを開く方法がわからない場合は、[GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) をチェックしてみてください。
|
||||
|
||||
これで完了です!あなたの PR がマージされると、[README](https://github.com/langgenius/dify/blob/main/README.md) にコントリビューターとして紹介されます。
|
||||
|
||||
## ヘルプを得る
|
||||
|
||||
コントリビュート中に行き詰まったり、疑問が生じたりした場合は、GitHub の関連する issue から質問していただくか、[Discord](https://discord.gg/8Tpq4AcN9c)でチャットしてください。
|
||||
@@ -35,13 +35,10 @@
|
||||
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
#
|
||||
|
||||
<p align="center">
|
||||
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
</p>
|
||||
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
|
||||
</br> </br>
|
||||
|
||||
@@ -109,7 +106,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
|
||||
<td align="center">Agent</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
@@ -127,7 +124,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Enterprise Feature (SSO/Access control)</td>
|
||||
<td align="center">Enterprise Features (SSO/Access control)</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
|
||||
@@ -35,6 +35,7 @@
|
||||
<a href="./README_ES.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/西班牙语-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/法语-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/克林贡语-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/韓國語-d9d9d9"></a>
|
||||
</div>
|
||||
|
||||
|
||||
@@ -111,7 +112,7 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
|
||||
<td align="center">Agent</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
|
||||
@@ -35,6 +35,7 @@
|
||||
<a href="./README_ES.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
#
|
||||
@@ -111,7 +112,7 @@ es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruida
|
||||
<td align="center">Agente</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
|
||||
@@ -35,6 +35,7 @@
|
||||
<a href="./README_ES.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
#
|
||||
@@ -111,7 +112,7 @@ ités d'agent**:
|
||||
<td align="center">Agent</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
|
||||
@@ -35,6 +35,7 @@
|
||||
<a href="./README_ES.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
#
|
||||
@@ -110,7 +111,7 @@ 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
|
||||
<td align="center">エージェント</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
|
||||
@@ -35,6 +35,7 @@
|
||||
<a href="./README_ES.md"><img alt="Commits last month" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="Commits last month" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="Commits last month" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="Commits last month" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
#
|
||||
@@ -111,7 +112,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
|
||||
<td align="center">Agent</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
|
||||
243
README_KR.md
Normal file
243
README_KR.md
Normal file
@@ -0,0 +1,243 @@
|
||||

|
||||
|
||||
<p align="center">
|
||||
<a href="https://cloud.dify.ai">Dify 클라우드</a> ·
|
||||
<a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
|
||||
<a href="https://docs.dify.ai">문서</a> ·
|
||||
<a href="https://cal.com/guchenhe/60-min-meeting">기업 문의</a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://dify.ai" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
|
||||
<a href="https://dify.ai/pricing" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
|
||||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on Twitter"></a>
|
||||
<a href="https://hub.docker.com/u/langgenius" target="_blank">
|
||||
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
|
||||
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
|
||||
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
|
||||
<a href="https://github.com/langgenius/dify/" target="_blank">
|
||||
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
|
||||
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
|
||||
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
|
||||
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
|
||||
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
|
||||
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="./README_KR.md"><img alt="한국어 README" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
|
||||
</p>
|
||||
|
||||
|
||||
Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>
|
||||
|
||||
**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.
|
||||

|
||||
|
||||
|
||||
**3. 통합 개발환경**:
|
||||
프롬프트를 작성하고, 모델 성능을 비교하며, 텍스트-음성 변환과 같은 추가 기능을 채팅 기반 앱에 추가할 수 있는 직관적인 인터페이스를 제공합니다.
|
||||
|
||||
**4. RAG 파이프라인**:
|
||||
문서 수집부터 검색까지 모든 것을 다루며, PDF, PPT 및 기타 일반적인 문서 형식에서 텍스트 추출을 위한 기본 지원이 포함되어 있는 광범위한 RAG 기능을 제공합니다.
|
||||
|
||||
**5. 에이전트 기능**:
|
||||
LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DELL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
|
||||
|
||||
**6. LLMOps**:
|
||||
시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.
|
||||
|
||||
**7. Backend-as-a-Service**:
|
||||
Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
|
||||
|
||||
## 기능 비교
|
||||
<table style="width: 100%;">
|
||||
<tr>
|
||||
<th align="center">기능</th>
|
||||
<th align="center">Dify.AI</th>
|
||||
<th align="center">LangChain</th>
|
||||
<th align="center">Flowise</th>
|
||||
<th align="center">OpenAI Assistants API</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">프로그래밍 접근 방식</td>
|
||||
<td align="center">API + 앱 중심</td>
|
||||
<td align="center">Python 코드</td>
|
||||
<td align="center">앱 중심</td>
|
||||
<td align="center">API 중심</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">지원되는 LLMs</td>
|
||||
<td align="center">다양한 종류</td>
|
||||
<td align="center">다양한 종류</td>
|
||||
<td align="center">다양한 종류</td>
|
||||
<td align="center">OpenAI 전용</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">RAG 엔진</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">에이전트</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">워크플로우</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">가시성</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">기업용 기능 (SSO/접근 제어)</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">로컬 배포</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## Dify 사용하기
|
||||
|
||||
- **클라우드 </br>**
|
||||
우리는 누구나 설정이 필요 없이 사용해 볼 수 있도록 [Dify 클라우드](https://dify.ai) 서비스를 호스팅합니다. 이는 자체 배포 버전의 모든 기능을 제공하며, 샌드박스 플랜에서 무료로 200회의 GPT-4 호출을 포함합니다.
|
||||
|
||||
- **셀프-호스팅 Dify 커뮤니티 에디션</br>**
|
||||
환경에서 Dify를 빠르게 실행하려면 이 [스타터 가이드를](#quick-start) 참조하세요.
|
||||
추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.
|
||||
|
||||
- **기업 / 조직을 위한 Dify</br>**
|
||||
우리는 추가적인 기업 중심 기능을 제공합니다. 당사와 [미팅일정](https://cal.com/guchenhe/30min)을 잡거나 [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
|
||||
> AWS를 사용하는 스타트업 및 중소기업의 경우 [AWS Marketplace에서 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)을 확인하고 한 번의 클릭으로 자체 AWS VPC에 배포하십시오. 맞춤형 로고와 브랜딩이 포함된 앱을 생성할 수 있는 옵션이 포함된 저렴한 AMI 제품입니다.
|
||||
|
||||
|
||||
|
||||
## 앞서가기
|
||||
|
||||
GitHub에서 Dify에 별표를 찍어 새로운 릴리스를 즉시 알림 받으세요.
|
||||
|
||||

|
||||
|
||||
|
||||
|
||||
## 빠른 시작
|
||||
>Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 :
|
||||
>- CPU >= 2 Core
|
||||
>- RAM >= 4GB
|
||||
|
||||
</br>
|
||||
|
||||
Dify 서버를 시작하는 가장 쉬운 방법은 [docker-compose.yml](docker/docker-compose.yaml) 파일을 실행하는 것입니다. 설치 명령을 실행하기 전에 [Docker](https://docs.docker.com/get-docker/) 및 [Docker Compose](https://docs.docker.com/compose/install/)가 머신에 설치되어 있는지 확인하세요.
|
||||
|
||||
```bash
|
||||
cd docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
실행 후 브라우저의 [http://localhost/install](http://localhost/install) 에서 Dify 대시보드에 액세스하고 초기화 프로세스를 시작할 수 있습니다.
|
||||
|
||||
> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)를 참조하세요.
|
||||
|
||||
## 다음 단계
|
||||
|
||||
구성 커스터마이징이 필요한 경우, [docker-compose.yml](docker/docker-compose.yaml) 파일의 코멘트를 참조하여 환경 구성을 수동으로 설정하십시오. 변경 후 `docker-compose up -d` 를 다시 실행하십시오. 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/install-self-hosted/environments)에서 확인할 수 있습니다.
|
||||
|
||||
|
||||
고가용성 설정을 구성하려면 Dify를 Kubernetes에 배포할 수 있는 커뮤니티 제공 [Helm Charts](https://helm.sh/)가 있습니다.
|
||||
|
||||
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
|
||||
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
|
||||
|
||||
|
||||
## 기여
|
||||
|
||||
코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
|
||||
동시에 Dify를 소셜 미디어와 행사 및 컨퍼런스에 공유하여 지원하는 것을 고려해 주시기 바랍니다.
|
||||
|
||||
|
||||
> 우리는 Dify를 중국어나 영어 이외의 언어로 번역하는 데 도움을 줄 수 있는 기여자를 찾고 있습니다. 도움을 주고 싶으시다면 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요.
|
||||
|
||||
**기여자**
|
||||
|
||||
<a href="https://github.com/langgenius/dify/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
|
||||
</a>
|
||||
|
||||
## 커뮤니티 & 연락처
|
||||
|
||||
* [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.
|
||||
* [이메일](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Dify.AI 사용에 대한 질문하기에 적합합니다.
|
||||
* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
|
||||
* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
|
||||
|
||||
또는 팀원과 직접 미팅을 예약하세요:
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th>연락처</th>
|
||||
<th>목적</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
|
||||
<td>비즈니스 문의 및 제품 피드백</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
|
||||
<td>기여, 이슈 및 기능 요청</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## Star 히스토리
|
||||
|
||||
[](https://star-history.com/#langgenius/dify&Date)
|
||||
|
||||
|
||||
## 보안 공개
|
||||
|
||||
개인정보 보호를 위해 보안 문제를 GitHub에 게시하지 마십시오. 대신 security@dify.ai로 질문을 보내주시면 더 자세한 답변을 드리겠습니다.
|
||||
|
||||
## 라이선스
|
||||
|
||||
이 저장소는 기본적으로 몇 가지 추가 제한 사항이 있는 Apache 2.0인 [Dify 오픈 소스 라이선스](LICENSE)에 따라 사용할 수 있습니다.
|
||||
@@ -17,6 +17,9 @@ APP_WEB_URL=http://127.0.0.1:3000
|
||||
# Files URL
|
||||
FILES_URL=http://127.0.0.1:5001
|
||||
|
||||
# The time in seconds after the signature is rejected
|
||||
FILES_ACCESS_TIMEOUT=300
|
||||
|
||||
# celery configuration
|
||||
CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
|
||||
|
||||
@@ -65,7 +68,7 @@ GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON=your-google-service-account-json-base64-stri
|
||||
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, relyt, pgvecto_rs
|
||||
# Vector database configuration, support: weaviate, qdrant, milvus, relyt, pgvecto_rs, pgvector
|
||||
VECTOR_STORE=weaviate
|
||||
|
||||
# Weaviate configuration
|
||||
@@ -102,6 +105,13 @@ PGVECTO_RS_USER=postgres
|
||||
PGVECTO_RS_PASSWORD=difyai123456
|
||||
PGVECTO_RS_DATABASE=postgres
|
||||
|
||||
# PGVector configuration
|
||||
PGVECTOR_HOST=127.0.0.1
|
||||
PGVECTOR_PORT=5433
|
||||
PGVECTOR_USER=postgres
|
||||
PGVECTOR_PASSWORD=postgres
|
||||
PGVECTOR_DATABASE=postgres
|
||||
|
||||
# Upload configuration
|
||||
UPLOAD_FILE_SIZE_LIMIT=15
|
||||
UPLOAD_FILE_BATCH_LIMIT=5
|
||||
@@ -137,6 +147,7 @@ NOTION_INTERNAL_SECRET=you-internal-secret
|
||||
|
||||
ETL_TYPE=dify
|
||||
UNSTRUCTURED_API_URL=
|
||||
UNSTRUCTURED_API_KEY=
|
||||
|
||||
SSRF_PROXY_HTTP_URL=
|
||||
SSRF_PROXY_HTTPS_URL=
|
||||
@@ -168,3 +179,6 @@ HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 # 1MB
|
||||
|
||||
# Log file path
|
||||
LOG_FILE=
|
||||
|
||||
# Indexing configuration
|
||||
INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
|
||||
|
||||
@@ -305,6 +305,14 @@ def migrate_knowledge_vector_database():
|
||||
"vector_store": {"class_prefix": collection_name}
|
||||
}
|
||||
dataset.index_struct = json.dumps(index_struct_dict)
|
||||
elif vector_type == "pgvector":
|
||||
dataset_id = dataset.id
|
||||
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
|
||||
index_struct_dict = {
|
||||
"type": 'pgvector',
|
||||
"vector_store": {"class_prefix": collection_name}
|
||||
}
|
||||
dataset.index_struct = json.dumps(index_struct_dict)
|
||||
else:
|
||||
raise ValueError(f"Vector store {config.get('VECTOR_STORE')} is not supported.")
|
||||
|
||||
@@ -440,9 +448,64 @@ def convert_to_agent_apps():
|
||||
click.echo(click.style('Congratulations! Converted {} agent apps.'.format(len(proceeded_app_ids)), fg='green'))
|
||||
|
||||
|
||||
@click.command('add-qdrant-doc-id-index', help='add qdrant doc_id index.')
|
||||
@click.option('--field', default='metadata.doc_id', prompt=False, help='index field , default is metadata.doc_id.')
|
||||
def add_qdrant_doc_id_index(field: str):
|
||||
click.echo(click.style('Start add qdrant doc_id index.', fg='green'))
|
||||
config = current_app.config
|
||||
vector_type = config.get('VECTOR_STORE')
|
||||
if vector_type != "qdrant":
|
||||
click.echo(click.style('Sorry, only support qdrant vector store.', fg='red'))
|
||||
return
|
||||
create_count = 0
|
||||
|
||||
try:
|
||||
bindings = db.session.query(DatasetCollectionBinding).all()
|
||||
if not bindings:
|
||||
click.echo(click.style('Sorry, no dataset collection bindings found.', fg='red'))
|
||||
return
|
||||
import qdrant_client
|
||||
from qdrant_client.http.exceptions import UnexpectedResponse
|
||||
from qdrant_client.http.models import PayloadSchemaType
|
||||
|
||||
from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantConfig
|
||||
for binding in bindings:
|
||||
qdrant_config = QdrantConfig(
|
||||
endpoint=config.get('QDRANT_URL'),
|
||||
api_key=config.get('QDRANT_API_KEY'),
|
||||
root_path=current_app.root_path,
|
||||
timeout=config.get('QDRANT_CLIENT_TIMEOUT'),
|
||||
grpc_port=config.get('QDRANT_GRPC_PORT'),
|
||||
prefer_grpc=config.get('QDRANT_GRPC_ENABLED')
|
||||
)
|
||||
try:
|
||||
client = qdrant_client.QdrantClient(**qdrant_config.to_qdrant_params())
|
||||
# create payload index
|
||||
client.create_payload_index(binding.collection_name, field,
|
||||
field_schema=PayloadSchemaType.KEYWORD)
|
||||
create_count += 1
|
||||
except UnexpectedResponse as e:
|
||||
# Collection does not exist, so return
|
||||
if e.status_code == 404:
|
||||
click.echo(click.style(f'Collection not found, collection_name:{binding.collection_name}.', fg='red'))
|
||||
continue
|
||||
# Some other error occurred, so re-raise the exception
|
||||
else:
|
||||
click.echo(click.style(f'Failed to create qdrant index, collection_name:{binding.collection_name}.', fg='red'))
|
||||
|
||||
except Exception as e:
|
||||
click.echo(click.style('Failed to create qdrant client.', fg='red'))
|
||||
|
||||
click.echo(
|
||||
click.style(f'Congratulations! Create {create_count} collection indexes.',
|
||||
fg='green'))
|
||||
|
||||
|
||||
def register_commands(app):
|
||||
app.cli.add_command(reset_password)
|
||||
app.cli.add_command(reset_email)
|
||||
app.cli.add_command(reset_encrypt_key_pair)
|
||||
app.cli.add_command(vdb_migrate)
|
||||
app.cli.add_command(convert_to_agent_apps)
|
||||
app.cli.add_command(add_qdrant_doc_id_index)
|
||||
|
||||
|
||||
@@ -23,14 +23,17 @@ DEFAULTS = {
|
||||
'SERVICE_API_URL': 'https://api.dify.ai',
|
||||
'APP_WEB_URL': 'https://udify.app',
|
||||
'FILES_URL': '',
|
||||
'FILES_ACCESS_TIMEOUT': 300,
|
||||
'S3_ADDRESS_STYLE': 'auto',
|
||||
'STORAGE_TYPE': 'local',
|
||||
'STORAGE_LOCAL_PATH': 'storage',
|
||||
'CHECK_UPDATE_URL': 'https://updates.dify.ai',
|
||||
'DEPLOY_ENV': 'PRODUCTION',
|
||||
'SQLALCHEMY_DATABASE_URI_SCHEME': 'postgresql',
|
||||
'SQLALCHEMY_POOL_SIZE': 30,
|
||||
'SQLALCHEMY_MAX_OVERFLOW': 10,
|
||||
'SQLALCHEMY_POOL_RECYCLE': 3600,
|
||||
'SQLALCHEMY_POOL_PRE_PING': 'False',
|
||||
'SQLALCHEMY_ECHO': 'False',
|
||||
'SENTRY_TRACES_SAMPLE_RATE': 1.0,
|
||||
'SENTRY_PROFILES_SAMPLE_RATE': 1.0,
|
||||
@@ -77,6 +80,9 @@ DEFAULTS = {
|
||||
'KEYWORD_DATA_SOURCE_TYPE': 'database',
|
||||
'INNER_API': 'False',
|
||||
'ENTERPRISE_ENABLED': 'False',
|
||||
'INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH': 1000,
|
||||
'WORKFLOW_MAX_EXECUTION_STEPS': 50,
|
||||
'WORKFLOW_MAX_EXECUTION_TIME': 600,
|
||||
}
|
||||
|
||||
|
||||
@@ -107,7 +113,7 @@ class Config:
|
||||
# ------------------------
|
||||
# General Configurations.
|
||||
# ------------------------
|
||||
self.CURRENT_VERSION = "0.6.7"
|
||||
self.CURRENT_VERSION = "0.6.9"
|
||||
self.COMMIT_SHA = get_env('COMMIT_SHA')
|
||||
self.EDITION = get_env('EDITION')
|
||||
self.DEPLOY_ENV = get_env('DEPLOY_ENV')
|
||||
@@ -138,6 +144,10 @@ class Config:
|
||||
# Url is signed and has expiration time.
|
||||
self.FILES_URL = get_env('FILES_URL') if get_env('FILES_URL') else self.CONSOLE_API_URL
|
||||
|
||||
# File Access Time specifies a time interval in seconds for the file to be accessed.
|
||||
# The default value is 300 seconds.
|
||||
self.FILES_ACCESS_TIMEOUT = int(get_env('FILES_ACCESS_TIMEOUT'))
|
||||
|
||||
# Your App secret key will be used for securely signing the session cookie
|
||||
# Make sure you are changing this key for your deployment with a strong key.
|
||||
# You can generate a strong key using `openssl rand -base64 42`.
|
||||
@@ -165,14 +175,17 @@ class Config:
|
||||
key: get_env(key) for key in
|
||||
['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE', 'DB_CHARSET']
|
||||
}
|
||||
self.SQLALCHEMY_DATABASE_URI_SCHEME = get_env('SQLALCHEMY_DATABASE_URI_SCHEME')
|
||||
|
||||
db_extras = f"?client_encoding={db_credentials['DB_CHARSET']}" if db_credentials['DB_CHARSET'] else ""
|
||||
|
||||
self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
|
||||
self.SQLALCHEMY_DATABASE_URI = f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
|
||||
self.SQLALCHEMY_ENGINE_OPTIONS = {
|
||||
'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE')),
|
||||
'max_overflow': int(get_env('SQLALCHEMY_MAX_OVERFLOW')),
|
||||
'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE'))
|
||||
'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE')),
|
||||
'pool_pre_ping': get_bool_env('SQLALCHEMY_POOL_PRE_PING'),
|
||||
'connect_args': {'options': '-c timezone=UTC'},
|
||||
}
|
||||
|
||||
self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
|
||||
@@ -211,18 +224,18 @@ class Config:
|
||||
self.AZURE_BLOB_ACCOUNT_KEY = get_env('AZURE_BLOB_ACCOUNT_KEY')
|
||||
self.AZURE_BLOB_CONTAINER_NAME = get_env('AZURE_BLOB_CONTAINER_NAME')
|
||||
self.AZURE_BLOB_ACCOUNT_URL = get_env('AZURE_BLOB_ACCOUNT_URL')
|
||||
self.ALIYUN_OSS_BUCKET_NAME=get_env('ALIYUN_OSS_BUCKET_NAME')
|
||||
self.ALIYUN_OSS_ACCESS_KEY=get_env('ALIYUN_OSS_ACCESS_KEY')
|
||||
self.ALIYUN_OSS_SECRET_KEY=get_env('ALIYUN_OSS_SECRET_KEY')
|
||||
self.ALIYUN_OSS_ENDPOINT=get_env('ALIYUN_OSS_ENDPOINT')
|
||||
self.ALIYUN_OSS_REGION=get_env('ALIYUN_OSS_REGION')
|
||||
self.ALIYUN_OSS_AUTH_VERSION=get_env('ALIYUN_OSS_AUTH_VERSION')
|
||||
self.ALIYUN_OSS_BUCKET_NAME = get_env('ALIYUN_OSS_BUCKET_NAME')
|
||||
self.ALIYUN_OSS_ACCESS_KEY = get_env('ALIYUN_OSS_ACCESS_KEY')
|
||||
self.ALIYUN_OSS_SECRET_KEY = get_env('ALIYUN_OSS_SECRET_KEY')
|
||||
self.ALIYUN_OSS_ENDPOINT = get_env('ALIYUN_OSS_ENDPOINT')
|
||||
self.ALIYUN_OSS_REGION = get_env('ALIYUN_OSS_REGION')
|
||||
self.ALIYUN_OSS_AUTH_VERSION = get_env('ALIYUN_OSS_AUTH_VERSION')
|
||||
self.GOOGLE_STORAGE_BUCKET_NAME = get_env('GOOGLE_STORAGE_BUCKET_NAME')
|
||||
self.GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64 = get_env('GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64')
|
||||
|
||||
# ------------------------
|
||||
# Vector Store Configurations.
|
||||
# Currently, only support: qdrant, milvus, zilliz, weaviate, relyt
|
||||
# Currently, only support: qdrant, milvus, zilliz, weaviate, relyt, pgvector
|
||||
# ------------------------
|
||||
self.VECTOR_STORE = get_env('VECTOR_STORE')
|
||||
self.KEYWORD_STORE = get_env('KEYWORD_STORE')
|
||||
@@ -261,6 +274,13 @@ class Config:
|
||||
self.PGVECTO_RS_PASSWORD = get_env('PGVECTO_RS_PASSWORD')
|
||||
self.PGVECTO_RS_DATABASE = get_env('PGVECTO_RS_DATABASE')
|
||||
|
||||
# pgvector settings
|
||||
self.PGVECTOR_HOST = get_env('PGVECTOR_HOST')
|
||||
self.PGVECTOR_PORT = get_env('PGVECTOR_PORT')
|
||||
self.PGVECTOR_USER = get_env('PGVECTOR_USER')
|
||||
self.PGVECTOR_PASSWORD = get_env('PGVECTOR_PASSWORD')
|
||||
self.PGVECTOR_DATABASE = get_env('PGVECTOR_DATABASE')
|
||||
|
||||
# ------------------------
|
||||
# Mail Configurations.
|
||||
# ------------------------
|
||||
@@ -274,7 +294,7 @@ class Config:
|
||||
self.SMTP_USERNAME = get_env('SMTP_USERNAME')
|
||||
self.SMTP_PASSWORD = get_env('SMTP_PASSWORD')
|
||||
self.SMTP_USE_TLS = get_bool_env('SMTP_USE_TLS')
|
||||
|
||||
|
||||
# ------------------------
|
||||
# Workspace Configurations.
|
||||
# ------------------------
|
||||
@@ -302,6 +322,9 @@ class Config:
|
||||
self.UPLOAD_FILE_BATCH_LIMIT = int(get_env('UPLOAD_FILE_BATCH_LIMIT'))
|
||||
self.UPLOAD_IMAGE_FILE_SIZE_LIMIT = int(get_env('UPLOAD_IMAGE_FILE_SIZE_LIMIT'))
|
||||
|
||||
self.WORKFLOW_MAX_EXECUTION_STEPS = int(get_env('WORKFLOW_MAX_EXECUTION_STEPS'))
|
||||
self.WORKFLOW_MAX_EXECUTION_TIME = int(get_env('WORKFLOW_MAX_EXECUTION_TIME'))
|
||||
|
||||
# Moderation in app Configurations.
|
||||
self.OUTPUT_MODERATION_BUFFER_SIZE = int(get_env('OUTPUT_MODERATION_BUFFER_SIZE'))
|
||||
|
||||
@@ -354,6 +377,7 @@ class Config:
|
||||
|
||||
self.ETL_TYPE = get_env('ETL_TYPE')
|
||||
self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
|
||||
self.UNSTRUCTURED_API_KEY = get_env('UNSTRUCTURED_API_KEY')
|
||||
self.BILLING_ENABLED = get_bool_env('BILLING_ENABLED')
|
||||
self.CAN_REPLACE_LOGO = get_bool_env('CAN_REPLACE_LOGO')
|
||||
|
||||
@@ -367,3 +391,8 @@ class Config:
|
||||
|
||||
self.KEYWORD_DATA_SOURCE_TYPE = get_env('KEYWORD_DATA_SOURCE_TYPE')
|
||||
self.ENTERPRISE_ENABLED = get_bool_env('ENTERPRISE_ENABLED')
|
||||
|
||||
# ------------------------
|
||||
# Indexing Configurations.
|
||||
# ------------------------
|
||||
self.INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH = get_env('INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH')
|
||||
|
||||
@@ -16,6 +16,7 @@ language_timezone_mapping = {
|
||||
'it-IT': 'Europe/Rome',
|
||||
'uk-UA': 'Europe/Kyiv',
|
||||
'vi-VN': 'Asia/Ho_Chi_Minh',
|
||||
'ro-RO': 'Europe/Bucharest',
|
||||
'pl-PL': 'Europe/Warsaw',
|
||||
}
|
||||
|
||||
|
||||
@@ -24,7 +24,8 @@
|
||||
"description": "Welcome to your personalized Investment Analysis Copilot service, where we delve into the depths of stock analysis to provide you with comprehensive insights. \n",
|
||||
"is_listed": true,
|
||||
"position": 0,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -40,7 +41,8 @@
|
||||
"description": "Code interpreter, clarifying the syntax and semantics of the code.",
|
||||
"is_listed": true,
|
||||
"position": 13,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -56,7 +58,8 @@
|
||||
"description": "Hello, I am your creative partner in bringing ideas to vivid life! I can assist you in creating stunning designs by leveraging abilities of DALL\u00b7E 3. ",
|
||||
"is_listed": true,
|
||||
"position": 4,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -72,7 +75,8 @@
|
||||
"description": "Fully SEO Optimized Article including FAQs",
|
||||
"is_listed": true,
|
||||
"position": 1,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -88,7 +92,8 @@
|
||||
"description": "Generate Flat Style Image",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -104,7 +109,8 @@
|
||||
"description": "A multilingual translator that provides translation capabilities in multiple languages. Input the text you need to translate and select the target language.",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -120,7 +126,8 @@
|
||||
"description": "I am a YouTube Channel Data Analysis Copilot, I am here to provide expert data analysis tailored to your needs. ",
|
||||
"is_listed": true,
|
||||
"position": 2,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -136,7 +143,8 @@
|
||||
"description": "Meeting minutes generator",
|
||||
"is_listed": true,
|
||||
"position": 0,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -152,7 +160,8 @@
|
||||
"description": "Tell me the main elements, I will generate a cyberpunk style image for you. ",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -168,7 +177,8 @@
|
||||
"description": "Write SQL from natural language by pasting in your schema with the request.Please describe your query requirements in natural language and select the target database type.",
|
||||
"is_listed": true,
|
||||
"position": 13,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -184,7 +194,8 @@
|
||||
"description": "Welcome to your personalized travel service with Consultant! \ud83c\udf0d\u2708\ufe0f Ready to embark on a journey filled with adventure and relaxation? Let's dive into creating your unforgettable travel experience. ",
|
||||
"is_listed": true,
|
||||
"position": 3,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -200,7 +211,8 @@
|
||||
"description": "I can answer your questions related to strategic marketing.",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -216,7 +228,8 @@
|
||||
"description": "A simulated front-end interviewer that tests the skill level of front-end development through questioning.",
|
||||
"is_listed": true,
|
||||
"position": 19,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -232,7 +245,8 @@
|
||||
"description": "I'm here to hear about your feature request about Dify and help you flesh it out further. What's on your mind?",
|
||||
"is_listed": true,
|
||||
"position": 6,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
}
|
||||
]
|
||||
},
|
||||
@@ -261,7 +275,8 @@
|
||||
"description": "\u4e00\u4e2a\u6a21\u62df\u7684\u524d\u7aef\u9762\u8bd5\u5b98\uff0c\u901a\u8fc7\u63d0\u95ee\u7684\u65b9\u5f0f\u5bf9\u524d\u7aef\u5f00\u53d1\u7684\u6280\u80fd\u6c34\u5e73\u8fdb\u884c\u68c0\u9a8c\u3002",
|
||||
"is_listed": true,
|
||||
"position": 20,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -277,7 +292,8 @@
|
||||
"description": "\u8f93\u5165\u76f8\u5173\u5143\u7d20\uff0c\u4e3a\u4f60\u751f\u6210\u6241\u5e73\u63d2\u753b\u98ce\u683c\u7684\u5c01\u9762\u56fe\u7247",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -293,7 +309,8 @@
|
||||
"description": "\u4e00\u4e2a\u591a\u8bed\u8a00\u7ffb\u8bd1\u5668\uff0c\u63d0\u4f9b\u591a\u79cd\u8bed\u8a00\u7ffb\u8bd1\u80fd\u529b\uff0c\u8f93\u5165\u4f60\u9700\u8981\u7ffb\u8bd1\u7684\u6587\u672c\uff0c\u9009\u62e9\u76ee\u6807\u8bed\u8a00\u5373\u53ef\u3002\u63d0\u793a\u8bcd\u6765\u81ea\u5b9d\u7389\u3002",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -309,7 +326,8 @@
|
||||
"description": "\u6211\u5c06\u5e2e\u52a9\u4f60\u628a\u81ea\u7136\u8bed\u8a00\u8f6c\u5316\u6210\u6307\u5b9a\u7684\u6570\u636e\u5e93\u67e5\u8be2 SQL \u8bed\u53e5\uff0c\u8bf7\u5728\u4e0b\u65b9\u8f93\u5165\u4f60\u9700\u8981\u67e5\u8be2\u7684\u6761\u4ef6\uff0c\u5e76\u9009\u62e9\u76ee\u6807\u6570\u636e\u5e93\u7c7b\u578b\u3002",
|
||||
"is_listed": true,
|
||||
"position": 12,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -325,7 +343,8 @@
|
||||
"description": "\u9610\u660e\u4ee3\u7801\u7684\u8bed\u6cd5\u548c\u8bed\u4e49\u3002",
|
||||
"is_listed": true,
|
||||
"position": 2,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -341,7 +360,8 @@
|
||||
"description": "\u8f93\u5165\u76f8\u5173\u5143\u7d20\uff0c\u4e3a\u4f60\u751f\u6210\u8d5b\u535a\u670b\u514b\u98ce\u683c\u7684\u63d2\u753b",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -357,7 +377,8 @@
|
||||
"description": "\u6211\u662f\u4e00\u540dSEO\u4e13\u5bb6\uff0c\u53ef\u4ee5\u6839\u636e\u60a8\u63d0\u4f9b\u7684\u6807\u9898\u3001\u5173\u952e\u8bcd\u3001\u76f8\u5173\u4fe1\u606f\u6765\u6279\u91cf\u751f\u6210SEO\u6587\u7ae0\u3002",
|
||||
"is_listed": true,
|
||||
"position": 10,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -373,7 +394,8 @@
|
||||
"description": "\u5e2e\u4f60\u91cd\u65b0\u7ec4\u7ec7\u548c\u8f93\u51fa\u6df7\u4e71\u590d\u6742\u7684\u4f1a\u8bae\u7eaa\u8981\u3002",
|
||||
"is_listed": true,
|
||||
"position": 6,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -389,7 +411,8 @@
|
||||
"description": "\u6b22\u8fce\u4f7f\u7528\u60a8\u7684\u4e2a\u6027\u5316\u7f8e\u80a1\u6295\u8d44\u5206\u6790\u52a9\u624b\uff0c\u5728\u8fd9\u91cc\u6211\u4eec\u6df1\u5165\u7684\u8fdb\u884c\u80a1\u7968\u5206\u6790\uff0c\u4e3a\u60a8\u63d0\u4f9b\u5168\u9762\u7684\u6d1e\u5bdf\u3002",
|
||||
"is_listed": true,
|
||||
"position": 0,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -405,7 +428,8 @@
|
||||
"description": "\u60a8\u597d\uff0c\u6211\u662f\u60a8\u7684\u521b\u610f\u4f19\u4f34\uff0c\u5c06\u5e2e\u52a9\u60a8\u5c06\u60f3\u6cd5\u751f\u52a8\u5730\u5b9e\u73b0\uff01\u6211\u53ef\u4ee5\u534f\u52a9\u60a8\u5229\u7528DALL\u00b7E 3\u7684\u80fd\u529b\u521b\u9020\u51fa\u4ee4\u4eba\u60ca\u53f9\u7684\u8bbe\u8ba1\u3002",
|
||||
"is_listed": true,
|
||||
"position": 4,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -421,7 +445,8 @@
|
||||
"description": "\u7ffb\u8bd1\u4e13\u5bb6\uff1a\u63d0\u4f9b\u4e2d\u82f1\u6587\u4e92\u8bd1",
|
||||
"is_listed": true,
|
||||
"position": 4,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -437,7 +462,8 @@
|
||||
"description": "\u60a8\u7684\u79c1\u4eba\u5b66\u4e60\u5bfc\u5e08\uff0c\u5e2e\u60a8\u5236\u5b9a\u5b66\u4e60\u8ba1\u5212\u5e76\u8f85\u5bfc",
|
||||
"is_listed": true,
|
||||
"position": 26,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -453,7 +479,8 @@
|
||||
"description": "\u5e2e\u4f60\u64b0\u5199\u8bba\u6587\u6587\u732e\u7efc\u8ff0",
|
||||
"is_listed": true,
|
||||
"position": 7,
|
||||
"privacy_policy": "https://dify.ai"
|
||||
"privacy_policy": "https://dify.ai",
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -469,7 +496,8 @@
|
||||
"description": "\u4f60\u597d\uff0c\u544a\u8bc9\u6211\u60a8\u60f3\u5206\u6790\u7684 YouTube \u9891\u9053\uff0c\u6211\u5c06\u4e3a\u60a8\u6574\u7406\u4e00\u4efd\u5b8c\u6574\u7684\u6570\u636e\u5206\u6790\u62a5\u544a\u3002",
|
||||
"is_listed": true,
|
||||
"position": 0,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
},
|
||||
{
|
||||
"app": {
|
||||
@@ -485,7 +513,8 @@
|
||||
"description": "\u6b22\u8fce\u4f7f\u7528\u60a8\u7684\u4e2a\u6027\u5316\u65c5\u884c\u670d\u52a1\u987e\u95ee\uff01\ud83c\udf0d\u2708\ufe0f \u51c6\u5907\u597d\u8e0f\u4e0a\u4e00\u6bb5\u5145\u6ee1\u5192\u9669\u4e0e\u653e\u677e\u7684\u65c5\u7a0b\u4e86\u5417\uff1f\u8ba9\u6211\u4eec\u4e00\u8d77\u6df1\u5165\u6253\u9020\u60a8\u96be\u5fd8\u7684\u65c5\u884c\u4f53\u9a8c\u5427\u3002",
|
||||
"is_listed": true,
|
||||
"position": 0,
|
||||
"privacy_policy": null
|
||||
"privacy_policy": null,
|
||||
"custom_disclaimer": null
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@@ -37,9 +37,6 @@ from .billing import billing
|
||||
# Import datasets controllers
|
||||
from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing
|
||||
|
||||
# Import enterprise controllers
|
||||
from .enterprise import enterprise_sso
|
||||
|
||||
# Import explore controllers
|
||||
from .explore import (
|
||||
audio,
|
||||
|
||||
@@ -48,6 +48,7 @@ class InsertExploreAppListApi(Resource):
|
||||
parser.add_argument('desc', type=str, location='json')
|
||||
parser.add_argument('copyright', type=str, location='json')
|
||||
parser.add_argument('privacy_policy', type=str, location='json')
|
||||
parser.add_argument('custom_disclaimer', type=str, location='json')
|
||||
parser.add_argument('language', type=supported_language, required=True, nullable=False, location='json')
|
||||
parser.add_argument('category', type=str, required=True, nullable=False, location='json')
|
||||
parser.add_argument('position', type=int, required=True, nullable=False, location='json')
|
||||
@@ -62,6 +63,7 @@ class InsertExploreAppListApi(Resource):
|
||||
desc = args['desc'] if args['desc'] else ''
|
||||
copy_right = args['copyright'] if args['copyright'] else ''
|
||||
privacy_policy = args['privacy_policy'] if args['privacy_policy'] else ''
|
||||
custom_disclaimer = args['custom_disclaimer'] if args['custom_disclaimer'] else ''
|
||||
else:
|
||||
desc = site.description if site.description else \
|
||||
args['desc'] if args['desc'] else ''
|
||||
@@ -69,6 +71,8 @@ class InsertExploreAppListApi(Resource):
|
||||
args['copyright'] if args['copyright'] else ''
|
||||
privacy_policy = site.privacy_policy if site.privacy_policy else \
|
||||
args['privacy_policy'] if args['privacy_policy'] else ''
|
||||
custom_disclaimer = site.custom_disclaimer if site.custom_disclaimer else \
|
||||
args['custom_disclaimer'] if args['custom_disclaimer'] else ''
|
||||
|
||||
recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args['app_id']).first()
|
||||
|
||||
@@ -78,6 +82,7 @@ class InsertExploreAppListApi(Resource):
|
||||
description=desc,
|
||||
copyright=copy_right,
|
||||
privacy_policy=privacy_policy,
|
||||
custom_disclaimer=custom_disclaimer,
|
||||
language=args['language'],
|
||||
category=args['category'],
|
||||
position=args['position']
|
||||
@@ -93,6 +98,7 @@ class InsertExploreAppListApi(Resource):
|
||||
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']
|
||||
|
||||
@@ -85,7 +85,7 @@ class ChatMessageTextApi(Resource):
|
||||
response = AudioService.transcript_tts(
|
||||
app_model=app_model,
|
||||
text=request.form['text'],
|
||||
voice=request.form.get('voice'),
|
||||
voice=request.form['voice'] if request.form.get('voice') else app_model.app_model_config.text_to_speech_dict.get('voice'),
|
||||
streaming=False
|
||||
)
|
||||
|
||||
|
||||
@@ -91,3 +91,9 @@ class DraftWorkflowNotExist(BaseHTTPException):
|
||||
error_code = 'draft_workflow_not_exist'
|
||||
description = "Draft workflow need to be initialized."
|
||||
code = 400
|
||||
|
||||
|
||||
class DraftWorkflowNotSync(BaseHTTPException):
|
||||
error_code = 'draft_workflow_not_sync'
|
||||
description = "Workflow graph might have been modified, please refresh and resubmit."
|
||||
code = 400
|
||||
|
||||
@@ -23,6 +23,7 @@ def parse_app_site_args():
|
||||
parser.add_argument('customize_domain', type=str, required=False, location='json')
|
||||
parser.add_argument('copyright', type=str, required=False, location='json')
|
||||
parser.add_argument('privacy_policy', type=str, required=False, location='json')
|
||||
parser.add_argument('custom_disclaimer', type=str, required=False, location='json')
|
||||
parser.add_argument('customize_token_strategy', type=str, choices=['must', 'allow', 'not_allow'],
|
||||
required=False,
|
||||
location='json')
|
||||
@@ -56,6 +57,7 @@ class AppSite(Resource):
|
||||
'customize_domain',
|
||||
'copyright',
|
||||
'privacy_policy',
|
||||
'custom_disclaimer',
|
||||
'customize_token_strategy',
|
||||
'prompt_public'
|
||||
]:
|
||||
|
||||
@@ -7,7 +7,7 @@ from werkzeug.exceptions import InternalServerError, NotFound
|
||||
|
||||
import services
|
||||
from controllers.console import api
|
||||
from controllers.console.app.error import ConversationCompletedError, DraftWorkflowNotExist
|
||||
from controllers.console.app.error import ConversationCompletedError, DraftWorkflowNotExist, DraftWorkflowNotSync
|
||||
from controllers.console.app.wraps import get_app_model
|
||||
from controllers.console.setup import setup_required
|
||||
from controllers.console.wraps import account_initialization_required
|
||||
@@ -20,6 +20,7 @@ from libs.helper import TimestampField, uuid_value
|
||||
from libs.login import current_user, login_required
|
||||
from models.model import App, AppMode
|
||||
from services.app_generate_service import AppGenerateService
|
||||
from services.errors.app import WorkflowHashNotEqualError
|
||||
from services.workflow_service import WorkflowService
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@@ -59,6 +60,7 @@ class DraftWorkflowApi(Resource):
|
||||
parser = reqparse.RequestParser()
|
||||
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')
|
||||
args = parser.parse_args()
|
||||
elif 'text/plain' in content_type:
|
||||
try:
|
||||
@@ -71,7 +73,8 @@ class DraftWorkflowApi(Resource):
|
||||
|
||||
args = {
|
||||
'graph': data.get('graph'),
|
||||
'features': data.get('features')
|
||||
'features': data.get('features'),
|
||||
'hash': data.get('hash')
|
||||
}
|
||||
except json.JSONDecodeError:
|
||||
return {'message': 'Invalid JSON data'}, 400
|
||||
@@ -79,15 +82,21 @@ class DraftWorkflowApi(Resource):
|
||||
abort(415)
|
||||
|
||||
workflow_service = WorkflowService()
|
||||
workflow = workflow_service.sync_draft_workflow(
|
||||
app_model=app_model,
|
||||
graph=args.get('graph'),
|
||||
features=args.get('features'),
|
||||
account=current_user
|
||||
)
|
||||
|
||||
try:
|
||||
workflow = workflow_service.sync_draft_workflow(
|
||||
app_model=app_model,
|
||||
graph=args.get('graph'),
|
||||
features=args.get('features'),
|
||||
unique_hash=args.get('hash'),
|
||||
account=current_user
|
||||
)
|
||||
except WorkflowHashNotEqualError:
|
||||
raise DraftWorkflowNotSync()
|
||||
|
||||
return {
|
||||
"result": "success",
|
||||
"hash": workflow.unique_hash,
|
||||
"updated_at": TimestampField().format(workflow.updated_at or workflow.created_at)
|
||||
}
|
||||
|
||||
@@ -128,6 +137,71 @@ class AdvancedChatDraftWorkflowRunApi(Resource):
|
||||
logging.exception("internal server error.")
|
||||
raise InternalServerError()
|
||||
|
||||
class AdvancedChatDraftRunIterationNodeApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
@get_app_model(mode=[AppMode.ADVANCED_CHAT])
|
||||
def post(self, app_model: App, node_id: str):
|
||||
"""
|
||||
Run draft workflow iteration node
|
||||
"""
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument('inputs', type=dict, location='json')
|
||||
args = parser.parse_args()
|
||||
|
||||
try:
|
||||
response = AppGenerateService.generate_single_iteration(
|
||||
app_model=app_model,
|
||||
user=current_user,
|
||||
node_id=node_id,
|
||||
args=args,
|
||||
streaming=True
|
||||
)
|
||||
|
||||
return helper.compact_generate_response(response)
|
||||
except services.errors.conversation.ConversationNotExistsError:
|
||||
raise NotFound("Conversation Not Exists.")
|
||||
except services.errors.conversation.ConversationCompletedError:
|
||||
raise ConversationCompletedError()
|
||||
except ValueError as e:
|
||||
raise e
|
||||
except Exception as e:
|
||||
logging.exception("internal server error.")
|
||||
raise InternalServerError()
|
||||
|
||||
class WorkflowDraftRunIterationNodeApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
@get_app_model(mode=[AppMode.WORKFLOW])
|
||||
def post(self, app_model: App, node_id: str):
|
||||
"""
|
||||
Run draft workflow iteration node
|
||||
"""
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument('inputs', type=dict, location='json')
|
||||
args = parser.parse_args()
|
||||
|
||||
try:
|
||||
response = AppGenerateService.generate_single_iteration(
|
||||
app_model=app_model,
|
||||
user=current_user,
|
||||
node_id=node_id,
|
||||
args=args,
|
||||
streaming=True
|
||||
)
|
||||
|
||||
return helper.compact_generate_response(response)
|
||||
except services.errors.conversation.ConversationNotExistsError:
|
||||
raise NotFound("Conversation Not Exists.")
|
||||
except services.errors.conversation.ConversationCompletedError:
|
||||
raise ConversationCompletedError()
|
||||
except ValueError as e:
|
||||
raise e
|
||||
except Exception as e:
|
||||
logging.exception("internal server error.")
|
||||
raise InternalServerError()
|
||||
|
||||
class DraftWorkflowRunApi(Resource):
|
||||
@setup_required
|
||||
@@ -317,6 +391,8 @@ api.add_resource(AdvancedChatDraftWorkflowRunApi, '/apps/<uuid:app_id>/advanced-
|
||||
api.add_resource(DraftWorkflowRunApi, '/apps/<uuid:app_id>/workflows/draft/run')
|
||||
api.add_resource(WorkflowTaskStopApi, '/apps/<uuid:app_id>/workflow-runs/tasks/<string:task_id>/stop')
|
||||
api.add_resource(DraftWorkflowNodeRunApi, '/apps/<uuid:app_id>/workflows/draft/nodes/<string:node_id>/run')
|
||||
api.add_resource(AdvancedChatDraftRunIterationNodeApi, '/apps/<uuid:app_id>/advanced-chat/workflows/draft/iteration/nodes/<string:node_id>/run')
|
||||
api.add_resource(WorkflowDraftRunIterationNodeApi, '/apps/<uuid:app_id>/workflows/draft/iteration/nodes/<string:node_id>/run')
|
||||
api.add_resource(PublishedWorkflowApi, '/apps/<uuid:app_id>/workflows/publish')
|
||||
api.add_resource(DefaultBlockConfigsApi, '/apps/<uuid:app_id>/workflows/default-workflow-block-configs')
|
||||
api.add_resource(DefaultBlockConfigApi, '/apps/<uuid:app_id>/workflows/default-workflow-block-configs'
|
||||
|
||||
@@ -476,13 +476,13 @@ class DatasetRetrievalSettingApi(Resource):
|
||||
@account_initialization_required
|
||||
def get(self):
|
||||
vector_type = current_app.config['VECTOR_STORE']
|
||||
if vector_type == 'milvus' or vector_type == 'pgvecto_rs' or vector_type == 'relyt':
|
||||
if vector_type in {"milvus", "relyt", "pgvector", "pgvecto_rs"}:
|
||||
return {
|
||||
'retrieval_method': [
|
||||
'semantic_search'
|
||||
]
|
||||
}
|
||||
elif vector_type == 'qdrant' or vector_type == 'weaviate':
|
||||
elif vector_type in {"qdrant", "weaviate"}:
|
||||
return {
|
||||
'retrieval_method': [
|
||||
'semantic_search', 'full_text_search', 'hybrid_search'
|
||||
@@ -497,14 +497,13 @@ class DatasetRetrievalSettingMockApi(Resource):
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def get(self, vector_type):
|
||||
|
||||
if vector_type == 'milvus' or vector_type == 'relyt':
|
||||
if vector_type in {'milvus', 'relyt', 'pgvector'}:
|
||||
return {
|
||||
'retrieval_method': [
|
||||
'semantic_search'
|
||||
]
|
||||
}
|
||||
elif vector_type == 'qdrant' or vector_type == 'weaviate':
|
||||
elif vector_type in {'qdrant', 'weaviate'}:
|
||||
return {
|
||||
'retrieval_method': [
|
||||
'semantic_search', 'full_text_search', 'hybrid_search'
|
||||
|
||||
@@ -1,59 +0,0 @@
|
||||
from flask import current_app, redirect
|
||||
from flask_restful import Resource, reqparse
|
||||
|
||||
from controllers.console import api
|
||||
from controllers.console.setup import setup_required
|
||||
from services.enterprise.enterprise_sso_service import EnterpriseSSOService
|
||||
|
||||
|
||||
class EnterpriseSSOSamlLogin(Resource):
|
||||
|
||||
@setup_required
|
||||
def get(self):
|
||||
return EnterpriseSSOService.get_sso_saml_login()
|
||||
|
||||
|
||||
class EnterpriseSSOSamlAcs(Resource):
|
||||
|
||||
@setup_required
|
||||
def post(self):
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument('SAMLResponse', type=str, required=True, location='form')
|
||||
args = parser.parse_args()
|
||||
saml_response = args['SAMLResponse']
|
||||
|
||||
try:
|
||||
token = EnterpriseSSOService.post_sso_saml_acs(saml_response)
|
||||
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?console_token={token}')
|
||||
except Exception as e:
|
||||
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?message={str(e)}')
|
||||
|
||||
|
||||
class EnterpriseSSOOidcLogin(Resource):
|
||||
|
||||
@setup_required
|
||||
def get(self):
|
||||
return EnterpriseSSOService.get_sso_oidc_login()
|
||||
|
||||
|
||||
class EnterpriseSSOOidcCallback(Resource):
|
||||
|
||||
@setup_required
|
||||
def get(self):
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument('state', type=str, required=True, location='args')
|
||||
parser.add_argument('code', type=str, required=True, location='args')
|
||||
parser.add_argument('oidc-state', type=str, required=True, location='cookies')
|
||||
args = parser.parse_args()
|
||||
|
||||
try:
|
||||
token = EnterpriseSSOService.get_sso_oidc_callback(args)
|
||||
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?console_token={token}')
|
||||
except Exception as e:
|
||||
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?message={str(e)}')
|
||||
|
||||
|
||||
api.add_resource(EnterpriseSSOSamlLogin, '/enterprise/sso/saml/login')
|
||||
api.add_resource(EnterpriseSSOSamlAcs, '/enterprise/sso/saml/acs')
|
||||
api.add_resource(EnterpriseSSOOidcLogin, '/enterprise/sso/oidc/login')
|
||||
api.add_resource(EnterpriseSSOOidcCallback, '/enterprise/sso/oidc/callback')
|
||||
@@ -76,7 +76,7 @@ class ChatTextApi(InstalledAppResource):
|
||||
response = AudioService.transcript_tts(
|
||||
app_model=app_model,
|
||||
text=request.form['text'],
|
||||
voice=request.form.get('voice'),
|
||||
voice=request.form['voice'] if request.form.get('voice') else app_model.app_model_config.text_to_speech_dict.get('voice'),
|
||||
streaming=False
|
||||
)
|
||||
return {'data': response.data.decode('latin1')}
|
||||
|
||||
@@ -21,6 +21,7 @@ recommended_app_fields = {
|
||||
'description': fields.String(attribute='description'),
|
||||
'copyright': fields.String,
|
||||
'privacy_policy': fields.String,
|
||||
'custom_disclaimer': fields.String,
|
||||
'category': fields.String,
|
||||
'position': fields.Integer,
|
||||
'is_listed': fields.Boolean
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
from flask_login import current_user
|
||||
from flask_restful import Resource
|
||||
|
||||
from services.enterprise.enterprise_feature_service import EnterpriseFeatureService
|
||||
from services.feature_service import FeatureService
|
||||
|
||||
from . import api
|
||||
@@ -15,10 +14,10 @@ class FeatureApi(Resource):
|
||||
return FeatureService.get_features(current_user.current_tenant_id).dict()
|
||||
|
||||
|
||||
class EnterpriseFeatureApi(Resource):
|
||||
class SystemFeatureApi(Resource):
|
||||
def get(self):
|
||||
return EnterpriseFeatureService.get_enterprise_features().dict()
|
||||
return FeatureService.get_system_features().dict()
|
||||
|
||||
|
||||
api.add_resource(FeatureApi, '/features')
|
||||
api.add_resource(EnterpriseFeatureApi, '/enterprise-features')
|
||||
api.add_resource(SystemFeatureApi, '/system-features')
|
||||
|
||||
@@ -9,8 +9,13 @@ from controllers.console import api
|
||||
from controllers.console.setup import setup_required
|
||||
from controllers.console.wraps import account_initialization_required
|
||||
from core.model_runtime.utils.encoders import jsonable_encoder
|
||||
from libs.helper import alphanumeric, uuid_value
|
||||
from libs.login import login_required
|
||||
from services.tools_manage_service import ToolManageService
|
||||
from services.tools.api_tools_manage_service import ApiToolManageService
|
||||
from services.tools.builtin_tools_manage_service import BuiltinToolManageService
|
||||
from services.tools.tool_labels_service import ToolLabelsService
|
||||
from services.tools.tools_manage_service import ToolCommonService
|
||||
from services.tools.workflow_tools_manage_service import WorkflowToolManageService
|
||||
|
||||
|
||||
class ToolProviderListApi(Resource):
|
||||
@@ -21,7 +26,11 @@ class ToolProviderListApi(Resource):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
return ToolManageService.list_tool_providers(user_id, tenant_id)
|
||||
req = reqparse.RequestParser()
|
||||
req.add_argument('type', type=str, choices=['builtin', 'model', 'api', 'workflow'], required=False, nullable=True, location='args')
|
||||
args = req.parse_args()
|
||||
|
||||
return ToolCommonService.list_tool_providers(user_id, tenant_id, args.get('type', None))
|
||||
|
||||
class ToolBuiltinProviderListToolsApi(Resource):
|
||||
@setup_required
|
||||
@@ -31,7 +40,7 @@ class ToolBuiltinProviderListToolsApi(Resource):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
return jsonable_encoder(ToolManageService.list_builtin_tool_provider_tools(
|
||||
return jsonable_encoder(BuiltinToolManageService.list_builtin_tool_provider_tools(
|
||||
user_id,
|
||||
tenant_id,
|
||||
provider,
|
||||
@@ -48,7 +57,7 @@ class ToolBuiltinProviderDeleteApi(Resource):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
return ToolManageService.delete_builtin_tool_provider(
|
||||
return BuiltinToolManageService.delete_builtin_tool_provider(
|
||||
user_id,
|
||||
tenant_id,
|
||||
provider,
|
||||
@@ -70,7 +79,7 @@ class ToolBuiltinProviderUpdateApi(Resource):
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.update_builtin_tool_provider(
|
||||
return BuiltinToolManageService.update_builtin_tool_provider(
|
||||
user_id,
|
||||
tenant_id,
|
||||
provider,
|
||||
@@ -85,7 +94,7 @@ class ToolBuiltinProviderGetCredentialsApi(Resource):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
return ToolManageService.get_builtin_tool_provider_credentials(
|
||||
return BuiltinToolManageService.get_builtin_tool_provider_credentials(
|
||||
user_id,
|
||||
tenant_id,
|
||||
provider,
|
||||
@@ -94,35 +103,10 @@ class ToolBuiltinProviderGetCredentialsApi(Resource):
|
||||
class ToolBuiltinProviderIconApi(Resource):
|
||||
@setup_required
|
||||
def get(self, provider):
|
||||
icon_bytes, mimetype = ToolManageService.get_builtin_tool_provider_icon(provider)
|
||||
icon_bytes, mimetype = BuiltinToolManageService.get_builtin_tool_provider_icon(provider)
|
||||
icon_cache_max_age = int(current_app.config.get('TOOL_ICON_CACHE_MAX_AGE'))
|
||||
return send_file(io.BytesIO(icon_bytes), mimetype=mimetype, max_age=icon_cache_max_age)
|
||||
|
||||
class ToolModelProviderIconApi(Resource):
|
||||
@setup_required
|
||||
def get(self, provider):
|
||||
icon_bytes, mimetype = ToolManageService.get_model_tool_provider_icon(provider)
|
||||
return send_file(io.BytesIO(icon_bytes), mimetype=mimetype)
|
||||
|
||||
class ToolModelProviderListToolsApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def get(self):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument('provider', type=str, required=True, nullable=False, location='args')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return jsonable_encoder(ToolManageService.list_model_tool_provider_tools(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['provider'],
|
||||
))
|
||||
|
||||
class ToolApiProviderAddApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@@ -141,10 +125,12 @@ class ToolApiProviderAddApi(Resource):
|
||||
parser.add_argument('provider', type=str, required=True, nullable=False, location='json')
|
||||
parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
|
||||
parser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json')
|
||||
parser.add_argument('labels', type=list[str], required=False, nullable=True, location='json', default=[])
|
||||
parser.add_argument('custom_disclaimer', type=str, required=False, nullable=True, location='json')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.create_api_tool_provider(
|
||||
return ApiToolManageService.create_api_tool_provider(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['provider'],
|
||||
@@ -153,6 +139,8 @@ class ToolApiProviderAddApi(Resource):
|
||||
args['schema_type'],
|
||||
args['schema'],
|
||||
args.get('privacy_policy', ''),
|
||||
args.get('custom_disclaimer', ''),
|
||||
args.get('labels', []),
|
||||
)
|
||||
|
||||
class ToolApiProviderGetRemoteSchemaApi(Resource):
|
||||
@@ -166,7 +154,7 @@ class ToolApiProviderGetRemoteSchemaApi(Resource):
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.get_api_tool_provider_remote_schema(
|
||||
return ApiToolManageService.get_api_tool_provider_remote_schema(
|
||||
current_user.id,
|
||||
current_user.current_tenant_id,
|
||||
args['url'],
|
||||
@@ -186,7 +174,7 @@ class ToolApiProviderListToolsApi(Resource):
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return jsonable_encoder(ToolManageService.list_api_tool_provider_tools(
|
||||
return jsonable_encoder(ApiToolManageService.list_api_tool_provider_tools(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['provider'],
|
||||
@@ -211,10 +199,12 @@ class ToolApiProviderUpdateApi(Resource):
|
||||
parser.add_argument('original_provider', type=str, required=True, nullable=False, location='json')
|
||||
parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
|
||||
parser.add_argument('privacy_policy', type=str, required=True, nullable=True, location='json')
|
||||
parser.add_argument('labels', type=list[str], required=False, nullable=True, location='json')
|
||||
parser.add_argument('custom_disclaimer', type=str, required=True, nullable=True, location='json')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.update_api_tool_provider(
|
||||
return ApiToolManageService.update_api_tool_provider(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['provider'],
|
||||
@@ -224,6 +214,8 @@ class ToolApiProviderUpdateApi(Resource):
|
||||
args['schema_type'],
|
||||
args['schema'],
|
||||
args['privacy_policy'],
|
||||
args['custom_disclaimer'],
|
||||
args.get('labels', []),
|
||||
)
|
||||
|
||||
class ToolApiProviderDeleteApi(Resource):
|
||||
@@ -243,7 +235,7 @@ class ToolApiProviderDeleteApi(Resource):
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.delete_api_tool_provider(
|
||||
return ApiToolManageService.delete_api_tool_provider(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['provider'],
|
||||
@@ -263,7 +255,7 @@ class ToolApiProviderGetApi(Resource):
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.get_api_tool_provider(
|
||||
return ApiToolManageService.get_api_tool_provider(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['provider'],
|
||||
@@ -274,7 +266,7 @@ class ToolBuiltinProviderCredentialsSchemaApi(Resource):
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def get(self, provider):
|
||||
return ToolManageService.list_builtin_provider_credentials_schema(provider)
|
||||
return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider)
|
||||
|
||||
class ToolApiProviderSchemaApi(Resource):
|
||||
@setup_required
|
||||
@@ -287,7 +279,7 @@ class ToolApiProviderSchemaApi(Resource):
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.parser_api_schema(
|
||||
return ApiToolManageService.parser_api_schema(
|
||||
schema=args['schema'],
|
||||
)
|
||||
|
||||
@@ -307,7 +299,7 @@ class ToolApiProviderPreviousTestApi(Resource):
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return ToolManageService.test_api_tool_preview(
|
||||
return ApiToolManageService.test_api_tool_preview(
|
||||
current_user.current_tenant_id,
|
||||
args['provider_name'] if args['provider_name'] else '',
|
||||
args['tool_name'],
|
||||
@@ -317,6 +309,153 @@ class ToolApiProviderPreviousTestApi(Resource):
|
||||
args['schema'],
|
||||
)
|
||||
|
||||
class ToolWorkflowProviderCreateApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def post(self):
|
||||
if not current_user.is_admin_or_owner:
|
||||
raise Forbidden()
|
||||
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
reqparser = reqparse.RequestParser()
|
||||
reqparser.add_argument('workflow_app_id', type=uuid_value, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('name', type=alphanumeric, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('label', type=str, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('description', type=str, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('parameters', type=list[dict], required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json', default='')
|
||||
reqparser.add_argument('labels', type=list[str], required=False, nullable=True, location='json')
|
||||
|
||||
args = reqparser.parse_args()
|
||||
|
||||
return WorkflowToolManageService.create_workflow_tool(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['workflow_app_id'],
|
||||
args['name'],
|
||||
args['label'],
|
||||
args['icon'],
|
||||
args['description'],
|
||||
args['parameters'],
|
||||
args['privacy_policy'],
|
||||
args.get('labels', []),
|
||||
)
|
||||
|
||||
class ToolWorkflowProviderUpdateApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def post(self):
|
||||
if not current_user.is_admin_or_owner:
|
||||
raise Forbidden()
|
||||
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
reqparser = reqparse.RequestParser()
|
||||
reqparser.add_argument('workflow_tool_id', type=uuid_value, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('name', type=alphanumeric, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('label', type=str, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('description', type=str, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('parameters', type=list[dict], required=True, nullable=False, location='json')
|
||||
reqparser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json', default='')
|
||||
reqparser.add_argument('labels', type=list[str], required=False, nullable=True, location='json')
|
||||
|
||||
args = reqparser.parse_args()
|
||||
|
||||
if not args['workflow_tool_id']:
|
||||
raise ValueError('incorrect workflow_tool_id')
|
||||
|
||||
return WorkflowToolManageService.update_workflow_tool(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['workflow_tool_id'],
|
||||
args['name'],
|
||||
args['label'],
|
||||
args['icon'],
|
||||
args['description'],
|
||||
args['parameters'],
|
||||
args['privacy_policy'],
|
||||
args.get('labels', []),
|
||||
)
|
||||
|
||||
class ToolWorkflowProviderDeleteApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def post(self):
|
||||
if not current_user.is_admin_or_owner:
|
||||
raise Forbidden()
|
||||
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
reqparser = reqparse.RequestParser()
|
||||
reqparser.add_argument('workflow_tool_id', type=uuid_value, required=True, nullable=False, location='json')
|
||||
|
||||
args = reqparser.parse_args()
|
||||
|
||||
return WorkflowToolManageService.delete_workflow_tool(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['workflow_tool_id'],
|
||||
)
|
||||
|
||||
class ToolWorkflowProviderGetApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def get(self):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument('workflow_tool_id', type=uuid_value, required=False, nullable=True, location='args')
|
||||
parser.add_argument('workflow_app_id', type=uuid_value, required=False, nullable=True, location='args')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.get('workflow_tool_id'):
|
||||
tool = WorkflowToolManageService.get_workflow_tool_by_tool_id(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['workflow_tool_id'],
|
||||
)
|
||||
elif args.get('workflow_app_id'):
|
||||
tool = WorkflowToolManageService.get_workflow_tool_by_app_id(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['workflow_app_id'],
|
||||
)
|
||||
else:
|
||||
raise ValueError('incorrect workflow_tool_id or workflow_app_id')
|
||||
|
||||
return jsonable_encoder(tool)
|
||||
|
||||
class ToolWorkflowProviderListToolApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def get(self):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument('workflow_tool_id', type=uuid_value, required=True, nullable=False, location='args')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
return jsonable_encoder(WorkflowToolManageService.list_single_workflow_tools(
|
||||
user_id,
|
||||
tenant_id,
|
||||
args['workflow_tool_id'],
|
||||
))
|
||||
|
||||
class ToolBuiltinListApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@@ -325,7 +464,7 @@ class ToolBuiltinListApi(Resource):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
return jsonable_encoder([provider.to_dict() for provider in ToolManageService.list_builtin_tools(
|
||||
return jsonable_encoder([provider.to_dict() for provider in BuiltinToolManageService.list_builtin_tools(
|
||||
user_id,
|
||||
tenant_id,
|
||||
)])
|
||||
@@ -338,20 +477,43 @@ class ToolApiListApi(Resource):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
return jsonable_encoder([provider.to_dict() for provider in ToolManageService.list_api_tools(
|
||||
return jsonable_encoder([provider.to_dict() for provider in ApiToolManageService.list_api_tools(
|
||||
user_id,
|
||||
tenant_id,
|
||||
)])
|
||||
|
||||
class ToolWorkflowListApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def get(self):
|
||||
user_id = current_user.id
|
||||
tenant_id = current_user.current_tenant_id
|
||||
|
||||
return jsonable_encoder([provider.to_dict() for provider in WorkflowToolManageService.list_tenant_workflow_tools(
|
||||
user_id,
|
||||
tenant_id,
|
||||
)])
|
||||
|
||||
class ToolLabelsApi(Resource):
|
||||
@setup_required
|
||||
@login_required
|
||||
@account_initialization_required
|
||||
def get(self):
|
||||
return jsonable_encoder(ToolLabelsService.list_tool_labels())
|
||||
|
||||
# tool provider
|
||||
api.add_resource(ToolProviderListApi, '/workspaces/current/tool-providers')
|
||||
|
||||
# builtin tool provider
|
||||
api.add_resource(ToolBuiltinProviderListToolsApi, '/workspaces/current/tool-provider/builtin/<provider>/tools')
|
||||
api.add_resource(ToolBuiltinProviderDeleteApi, '/workspaces/current/tool-provider/builtin/<provider>/delete')
|
||||
api.add_resource(ToolBuiltinProviderUpdateApi, '/workspaces/current/tool-provider/builtin/<provider>/update')
|
||||
api.add_resource(ToolBuiltinProviderGetCredentialsApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials')
|
||||
api.add_resource(ToolBuiltinProviderCredentialsSchemaApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials_schema')
|
||||
api.add_resource(ToolBuiltinProviderIconApi, '/workspaces/current/tool-provider/builtin/<provider>/icon')
|
||||
api.add_resource(ToolModelProviderIconApi, '/workspaces/current/tool-provider/model/<provider>/icon')
|
||||
api.add_resource(ToolModelProviderListToolsApi, '/workspaces/current/tool-provider/model/tools')
|
||||
|
||||
# api tool provider
|
||||
api.add_resource(ToolApiProviderAddApi, '/workspaces/current/tool-provider/api/add')
|
||||
api.add_resource(ToolApiProviderGetRemoteSchemaApi, '/workspaces/current/tool-provider/api/remote')
|
||||
api.add_resource(ToolApiProviderListToolsApi, '/workspaces/current/tool-provider/api/tools')
|
||||
@@ -361,5 +523,15 @@ api.add_resource(ToolApiProviderGetApi, '/workspaces/current/tool-provider/api/g
|
||||
api.add_resource(ToolApiProviderSchemaApi, '/workspaces/current/tool-provider/api/schema')
|
||||
api.add_resource(ToolApiProviderPreviousTestApi, '/workspaces/current/tool-provider/api/test/pre')
|
||||
|
||||
# workflow tool provider
|
||||
api.add_resource(ToolWorkflowProviderCreateApi, '/workspaces/current/tool-provider/workflow/create')
|
||||
api.add_resource(ToolWorkflowProviderUpdateApi, '/workspaces/current/tool-provider/workflow/update')
|
||||
api.add_resource(ToolWorkflowProviderDeleteApi, '/workspaces/current/tool-provider/workflow/delete')
|
||||
api.add_resource(ToolWorkflowProviderGetApi, '/workspaces/current/tool-provider/workflow/get')
|
||||
api.add_resource(ToolWorkflowProviderListToolApi, '/workspaces/current/tool-provider/workflow/tools')
|
||||
|
||||
api.add_resource(ToolBuiltinListApi, '/workspaces/current/tools/builtin')
|
||||
api.add_resource(ToolApiListApi, '/workspaces/current/tools/api')
|
||||
api.add_resource(ToolApiListApi, '/workspaces/current/tools/api')
|
||||
api.add_resource(ToolWorkflowListApi, '/workspaces/current/tools/workflow')
|
||||
|
||||
api.add_resource(ToolLabelsApi, '/workspaces/current/tool-labels')
|
||||
@@ -161,13 +161,13 @@ class CustomConfigWorkspaceApi(Resource):
|
||||
parser.add_argument('replace_webapp_logo', type=str, location='json')
|
||||
args = parser.parse_args()
|
||||
|
||||
tenant = db.session.query(Tenant).filter(Tenant.id == current_user.current_tenant_id).one_or_404()
|
||||
|
||||
custom_config_dict = {
|
||||
'remove_webapp_brand': args['remove_webapp_brand'],
|
||||
'replace_webapp_logo': args['replace_webapp_logo'],
|
||||
'replace_webapp_logo': args['replace_webapp_logo'] if args['replace_webapp_logo'] is not None else tenant.custom_config_dict.get('replace_webapp_logo') ,
|
||||
}
|
||||
|
||||
tenant = db.session.query(Tenant).filter(Tenant.id == current_user.current_tenant_id).one_or_404()
|
||||
|
||||
tenant.custom_config_dict = custom_config_dict
|
||||
db.session.commit()
|
||||
|
||||
|
||||
@@ -97,7 +97,7 @@ class MessageListApi(Resource):
|
||||
|
||||
|
||||
class MessageFeedbackApi(Resource):
|
||||
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
|
||||
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
|
||||
def post(self, app_model: App, end_user: EndUser, message_id):
|
||||
message_id = str(message_id)
|
||||
|
||||
@@ -114,7 +114,7 @@ class MessageFeedbackApi(Resource):
|
||||
|
||||
|
||||
class MessageSuggestedApi(Resource):
|
||||
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
|
||||
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY, required=True))
|
||||
def get(self, app_model: App, end_user: EndUser, message_id):
|
||||
message_id = str(message_id)
|
||||
app_mode = AppMode.value_of(app_model.mode)
|
||||
|
||||
@@ -6,4 +6,4 @@ bp = Blueprint('web', __name__, url_prefix='/api')
|
||||
api = ExternalApi(bp)
|
||||
|
||||
|
||||
from . import app, audio, completion, conversation, file, message, passport, saved_message, site, workflow
|
||||
from . import app, audio, completion, conversation, feature, file, message, passport, saved_message, site, workflow
|
||||
|
||||
@@ -1,14 +1,10 @@
|
||||
import json
|
||||
|
||||
from flask import current_app
|
||||
from flask_restful import fields, marshal_with
|
||||
|
||||
from controllers.web import api
|
||||
from controllers.web.error import AppUnavailableError
|
||||
from controllers.web.wraps import WebApiResource
|
||||
from extensions.ext_database import db
|
||||
from models.model import App, AppMode, AppModelConfig
|
||||
from models.tools import ApiToolProvider
|
||||
from models.model import App, AppMode
|
||||
from services.app_service import AppService
|
||||
|
||||
|
||||
|
||||
@@ -74,7 +74,7 @@ class TextApi(WebApiResource):
|
||||
app_model=app_model,
|
||||
text=request.form['text'],
|
||||
end_user=end_user.external_user_id,
|
||||
voice=request.form.get('voice'),
|
||||
voice=request.form['voice'] if request.form.get('voice') else app_model.app_model_config.text_to_speech_dict.get('voice'),
|
||||
streaming=False
|
||||
)
|
||||
|
||||
|
||||
@@ -115,3 +115,9 @@ class UnsupportedFileTypeError(BaseHTTPException):
|
||||
error_code = 'unsupported_file_type'
|
||||
description = "File type not allowed."
|
||||
code = 415
|
||||
|
||||
|
||||
class WebSSOAuthRequiredError(BaseHTTPException):
|
||||
error_code = 'web_sso_auth_required'
|
||||
description = "Web SSO authentication required."
|
||||
code = 401
|
||||
|
||||
12
api/controllers/web/feature.py
Normal file
12
api/controllers/web/feature.py
Normal file
@@ -0,0 +1,12 @@
|
||||
from flask_restful import Resource
|
||||
|
||||
from controllers.web import api
|
||||
from services.feature_service import FeatureService
|
||||
|
||||
|
||||
class SystemFeatureApi(Resource):
|
||||
def get(self):
|
||||
return FeatureService.get_system_features().dict()
|
||||
|
||||
|
||||
api.add_resource(SystemFeatureApi, '/system-features')
|
||||
@@ -5,14 +5,21 @@ from flask_restful import Resource
|
||||
from werkzeug.exceptions import NotFound, Unauthorized
|
||||
|
||||
from controllers.web import api
|
||||
from controllers.web.error import WebSSOAuthRequiredError
|
||||
from extensions.ext_database import db
|
||||
from libs.passport import PassportService
|
||||
from models.model import App, EndUser, Site
|
||||
from services.feature_service import FeatureService
|
||||
|
||||
|
||||
class PassportResource(Resource):
|
||||
"""Base resource for passport."""
|
||||
def get(self):
|
||||
|
||||
system_features = FeatureService.get_system_features()
|
||||
if system_features.sso_enforced_for_web:
|
||||
raise WebSSOAuthRequiredError()
|
||||
|
||||
app_code = request.headers.get('X-App-Code')
|
||||
if app_code is None:
|
||||
raise Unauthorized('X-App-Code header is missing.')
|
||||
@@ -28,7 +35,7 @@ class PassportResource(Resource):
|
||||
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()
|
||||
|
||||
|
||||
end_user = EndUser(
|
||||
tenant_id=app_model.tenant_id,
|
||||
app_id=app_model.id,
|
||||
@@ -36,6 +43,7 @@ class PassportResource(Resource):
|
||||
is_anonymous=True,
|
||||
session_id=generate_session_id(),
|
||||
)
|
||||
|
||||
db.session.add(end_user)
|
||||
db.session.commit()
|
||||
|
||||
@@ -53,8 +61,10 @@ class PassportResource(Resource):
|
||||
'access_token': tk,
|
||||
}
|
||||
|
||||
|
||||
api.add_resource(PassportResource, '/passport')
|
||||
|
||||
|
||||
def generate_session_id():
|
||||
"""
|
||||
Generate a unique session ID.
|
||||
|
||||
@@ -31,6 +31,7 @@ class AppSiteApi(WebApiResource):
|
||||
'description': fields.String,
|
||||
'copyright': fields.String,
|
||||
'privacy_policy': fields.String,
|
||||
'custom_disclaimer': fields.String,
|
||||
'default_language': fields.String,
|
||||
'prompt_public': fields.Boolean
|
||||
}
|
||||
|
||||
@@ -2,11 +2,13 @@ from functools import wraps
|
||||
|
||||
from flask import request
|
||||
from flask_restful import Resource
|
||||
from werkzeug.exceptions import NotFound, Unauthorized
|
||||
from werkzeug.exceptions import BadRequest, NotFound, Unauthorized
|
||||
|
||||
from controllers.web.error import WebSSOAuthRequiredError
|
||||
from extensions.ext_database import db
|
||||
from libs.passport import PassportService
|
||||
from models.model import App, EndUser, Site
|
||||
from services.feature_service import FeatureService
|
||||
|
||||
|
||||
def validate_jwt_token(view=None):
|
||||
@@ -21,34 +23,60 @@ def validate_jwt_token(view=None):
|
||||
return decorator(view)
|
||||
return decorator
|
||||
|
||||
|
||||
def decode_jwt_token():
|
||||
auth_header = request.headers.get('Authorization')
|
||||
if auth_header is None:
|
||||
raise Unauthorized('Authorization header is missing.')
|
||||
system_features = FeatureService.get_system_features()
|
||||
|
||||
if ' ' not in auth_header:
|
||||
raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
|
||||
|
||||
auth_scheme, tk = auth_header.split(None, 1)
|
||||
auth_scheme = auth_scheme.lower()
|
||||
try:
|
||||
auth_header = request.headers.get('Authorization')
|
||||
if auth_header is None:
|
||||
raise Unauthorized('Authorization header is missing.')
|
||||
|
||||
if auth_scheme != 'bearer':
|
||||
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()
|
||||
site = db.session.query(Site).filter(Site.code == app_code).first()
|
||||
if not app_model:
|
||||
raise NotFound()
|
||||
if not app_code or not site:
|
||||
raise Unauthorized('Site URL is no longer valid.')
|
||||
if app_model.enable_site is False:
|
||||
raise Unauthorized('Site is disabled.')
|
||||
end_user = db.session.query(EndUser).filter(EndUser.id == decoded['end_user_id']).first()
|
||||
if not end_user:
|
||||
raise NotFound()
|
||||
if ' ' not in auth_header:
|
||||
raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
|
||||
|
||||
auth_scheme, tk = auth_header.split(None, 1)
|
||||
auth_scheme = auth_scheme.lower()
|
||||
|
||||
if auth_scheme != 'bearer':
|
||||
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()
|
||||
site = db.session.query(Site).filter(Site.code == app_code).first()
|
||||
if not app_model:
|
||||
raise NotFound()
|
||||
if not app_code or not site:
|
||||
raise BadRequest('Site URL is no longer valid.')
|
||||
if app_model.enable_site is False:
|
||||
raise BadRequest('Site is disabled.')
|
||||
end_user = db.session.query(EndUser).filter(EndUser.id == decoded['end_user_id']).first()
|
||||
if not end_user:
|
||||
raise NotFound()
|
||||
|
||||
_validate_web_sso_token(decoded, system_features)
|
||||
|
||||
return app_model, end_user
|
||||
except Unauthorized as e:
|
||||
if system_features.sso_enforced_for_web:
|
||||
raise WebSSOAuthRequiredError()
|
||||
|
||||
raise Unauthorized(e.description)
|
||||
|
||||
|
||||
def _validate_web_sso_token(decoded, system_features):
|
||||
# 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:
|
||||
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:
|
||||
source = decoded.get('token_source')
|
||||
if source and source == 'sso':
|
||||
raise Unauthorized('sso token expired.')
|
||||
|
||||
return app_model, end_user
|
||||
|
||||
class WebApiResource(Resource):
|
||||
method_decorators = [validate_jwt_token]
|
||||
|
||||
@@ -165,6 +165,7 @@ class BaseAgentRunner(AppRunner):
|
||||
tenant_id=self.tenant_id,
|
||||
app_id=self.app_config.app_id,
|
||||
agent_tool=tool,
|
||||
invoke_from=self.application_generate_entity.invoke_from
|
||||
)
|
||||
tool_entity.load_variables(self.variables_pool)
|
||||
|
||||
|
||||
@@ -121,7 +121,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
|
||||
raise ValueError("failed to invoke llm")
|
||||
|
||||
usage_dict = {}
|
||||
react_chunks = CotAgentOutputParser.handle_react_stream_output(chunks)
|
||||
react_chunks = CotAgentOutputParser.handle_react_stream_output(chunks, usage_dict)
|
||||
scratchpad = AgentScratchpadUnit(
|
||||
agent_response='',
|
||||
thought='',
|
||||
@@ -189,7 +189,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
|
||||
|
||||
if not scratchpad.action:
|
||||
# failed to extract action, return final answer directly
|
||||
final_answer = scratchpad.agent_response or ''
|
||||
final_answer = ''
|
||||
else:
|
||||
if scratchpad.action.action_name.lower() == "final answer":
|
||||
# action is final answer, return final answer directly
|
||||
|
||||
@@ -8,7 +8,7 @@ class AgentToolEntity(BaseModel):
|
||||
"""
|
||||
Agent Tool Entity.
|
||||
"""
|
||||
provider_type: Literal["builtin", "api"]
|
||||
provider_type: Literal["builtin", "api", "workflow"]
|
||||
provider_id: str
|
||||
tool_name: str
|
||||
tool_parameters: dict[str, Any] = {}
|
||||
|
||||
@@ -9,7 +9,7 @@ from core.model_runtime.entities.llm_entities import LLMResultChunk
|
||||
|
||||
class CotAgentOutputParser:
|
||||
@classmethod
|
||||
def handle_react_stream_output(cls, llm_response: Generator[LLMResultChunk, None, None]) -> \
|
||||
def handle_react_stream_output(cls, llm_response: Generator[LLMResultChunk, None, None], usage_dict: dict) -> \
|
||||
Generator[Union[str, AgentScratchpadUnit.Action], None, None]:
|
||||
def parse_action(json_str):
|
||||
try:
|
||||
@@ -58,6 +58,8 @@ class CotAgentOutputParser:
|
||||
thought_idx = 0
|
||||
|
||||
for response in llm_response:
|
||||
if response.delta.usage:
|
||||
usage_dict['usage'] = response.delta.usage
|
||||
response = response.delta.message.content
|
||||
if not isinstance(response, str):
|
||||
continue
|
||||
|
||||
@@ -11,7 +11,7 @@ class SensitiveWordAvoidanceConfigManager:
|
||||
if not sensitive_word_avoidance_dict:
|
||||
return None
|
||||
|
||||
if 'enabled' in sensitive_word_avoidance_dict and sensitive_word_avoidance_dict['enabled']:
|
||||
if sensitive_word_avoidance_dict.get('enabled'):
|
||||
return SensitiveWordAvoidanceEntity(
|
||||
type=sensitive_word_avoidance_dict.get('type'),
|
||||
config=sensitive_word_avoidance_dict.get('config'),
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from typing import Optional
|
||||
|
||||
from core.agent.entities import AgentEntity, AgentPromptEntity, AgentToolEntity
|
||||
from core.tools.prompt.template import REACT_PROMPT_TEMPLATES
|
||||
from core.agent.prompt.template import REACT_PROMPT_TEMPLATES
|
||||
|
||||
|
||||
class AgentConfigManager:
|
||||
|
||||
@@ -239,4 +239,4 @@ class WorkflowUIBasedAppConfig(AppConfig):
|
||||
"""
|
||||
Workflow UI Based App Config Entity.
|
||||
"""
|
||||
workflow_id: str
|
||||
workflow_id: str
|
||||
@@ -14,7 +14,7 @@ class FileUploadConfigManager:
|
||||
"""
|
||||
file_upload_dict = config.get('file_upload')
|
||||
if file_upload_dict:
|
||||
if 'image' in file_upload_dict and file_upload_dict['image']:
|
||||
if file_upload_dict.get('image'):
|
||||
if 'enabled' in file_upload_dict['image'] and file_upload_dict['image']['enabled']:
|
||||
image_config = {
|
||||
'number_limits': file_upload_dict['image']['number_limits'],
|
||||
|
||||
@@ -9,7 +9,7 @@ class MoreLikeThisConfigManager:
|
||||
more_like_this = False
|
||||
more_like_this_dict = config.get('more_like_this')
|
||||
if more_like_this_dict:
|
||||
if 'enabled' in more_like_this_dict and more_like_this_dict['enabled']:
|
||||
if more_like_this_dict.get('enabled'):
|
||||
more_like_this = True
|
||||
|
||||
return more_like_this
|
||||
|
||||
@@ -4,7 +4,7 @@ class RetrievalResourceConfigManager:
|
||||
show_retrieve_source = False
|
||||
retriever_resource_dict = config.get('retriever_resource')
|
||||
if retriever_resource_dict:
|
||||
if 'enabled' in retriever_resource_dict and retriever_resource_dict['enabled']:
|
||||
if retriever_resource_dict.get('enabled'):
|
||||
show_retrieve_source = True
|
||||
|
||||
return show_retrieve_source
|
||||
|
||||
@@ -9,7 +9,7 @@ class SpeechToTextConfigManager:
|
||||
speech_to_text = False
|
||||
speech_to_text_dict = config.get('speech_to_text')
|
||||
if speech_to_text_dict:
|
||||
if 'enabled' in speech_to_text_dict and speech_to_text_dict['enabled']:
|
||||
if speech_to_text_dict.get('enabled'):
|
||||
speech_to_text = True
|
||||
|
||||
return speech_to_text
|
||||
|
||||
@@ -9,7 +9,7 @@ class SuggestedQuestionsAfterAnswerConfigManager:
|
||||
suggested_questions_after_answer = False
|
||||
suggested_questions_after_answer_dict = config.get('suggested_questions_after_answer')
|
||||
if suggested_questions_after_answer_dict:
|
||||
if 'enabled' in suggested_questions_after_answer_dict and suggested_questions_after_answer_dict['enabled']:
|
||||
if suggested_questions_after_answer_dict.get('enabled'):
|
||||
suggested_questions_after_answer = True
|
||||
|
||||
return suggested_questions_after_answer
|
||||
|
||||
@@ -12,7 +12,7 @@ class TextToSpeechConfigManager:
|
||||
text_to_speech = False
|
||||
text_to_speech_dict = config.get('text_to_speech')
|
||||
if text_to_speech_dict:
|
||||
if 'enabled' in text_to_speech_dict and text_to_speech_dict['enabled']:
|
||||
if text_to_speech_dict.get('enabled'):
|
||||
text_to_speech = TextToSpeechEntity(
|
||||
enabled=text_to_speech_dict.get('enabled'),
|
||||
voice=text_to_speech_dict.get('voice'),
|
||||
|
||||
@@ -66,7 +66,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
|
||||
conversation = self._get_conversation_by_user(app_model, args.get('conversation_id'), user)
|
||||
|
||||
# parse files
|
||||
files = args['files'] if 'files' in args and args['files'] else []
|
||||
files = args['files'] if args.get('files') else []
|
||||
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
|
||||
file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
|
||||
if file_extra_config:
|
||||
@@ -98,6 +98,90 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
|
||||
extras=extras
|
||||
)
|
||||
|
||||
return self._generate(
|
||||
app_model=app_model,
|
||||
workflow=workflow,
|
||||
user=user,
|
||||
invoke_from=invoke_from,
|
||||
application_generate_entity=application_generate_entity,
|
||||
conversation=conversation,
|
||||
stream=stream
|
||||
)
|
||||
|
||||
def single_iteration_generate(self, app_model: App,
|
||||
workflow: Workflow,
|
||||
node_id: str,
|
||||
user: Account,
|
||||
args: dict,
|
||||
stream: bool = True) \
|
||||
-> Union[dict, Generator[dict, None, None]]:
|
||||
"""
|
||||
Generate App response.
|
||||
|
||||
:param app_model: App
|
||||
:param workflow: Workflow
|
||||
:param user: account or end user
|
||||
:param args: request args
|
||||
:param invoke_from: invoke from source
|
||||
:param stream: is stream
|
||||
"""
|
||||
if not node_id:
|
||||
raise ValueError('node_id is required')
|
||||
|
||||
if args.get('inputs') is None:
|
||||
raise ValueError('inputs is required')
|
||||
|
||||
extras = {
|
||||
"auto_generate_conversation_name": False
|
||||
}
|
||||
|
||||
# get conversation
|
||||
conversation = None
|
||||
if args.get('conversation_id'):
|
||||
conversation = self._get_conversation_by_user(app_model, args.get('conversation_id'), user)
|
||||
|
||||
# convert to app config
|
||||
app_config = AdvancedChatAppConfigManager.get_app_config(
|
||||
app_model=app_model,
|
||||
workflow=workflow
|
||||
)
|
||||
|
||||
# init application generate entity
|
||||
application_generate_entity = AdvancedChatAppGenerateEntity(
|
||||
task_id=str(uuid.uuid4()),
|
||||
app_config=app_config,
|
||||
conversation_id=conversation.id if conversation else None,
|
||||
inputs={},
|
||||
query='',
|
||||
files=[],
|
||||
user_id=user.id,
|
||||
stream=stream,
|
||||
invoke_from=InvokeFrom.DEBUGGER,
|
||||
extras=extras,
|
||||
single_iteration_run=AdvancedChatAppGenerateEntity.SingleIterationRunEntity(
|
||||
node_id=node_id,
|
||||
inputs=args['inputs']
|
||||
)
|
||||
)
|
||||
|
||||
return self._generate(
|
||||
app_model=app_model,
|
||||
workflow=workflow,
|
||||
user=user,
|
||||
invoke_from=InvokeFrom.DEBUGGER,
|
||||
application_generate_entity=application_generate_entity,
|
||||
conversation=conversation,
|
||||
stream=stream
|
||||
)
|
||||
|
||||
def _generate(self, app_model: App,
|
||||
workflow: Workflow,
|
||||
user: Union[Account, EndUser],
|
||||
invoke_from: InvokeFrom,
|
||||
application_generate_entity: AdvancedChatAppGenerateEntity,
|
||||
conversation: Conversation = None,
|
||||
stream: bool = True) \
|
||||
-> Union[dict, Generator[dict, None, None]]:
|
||||
is_first_conversation = False
|
||||
if not conversation:
|
||||
is_first_conversation = True
|
||||
@@ -167,18 +251,30 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
|
||||
"""
|
||||
with flask_app.app_context():
|
||||
try:
|
||||
# get conversation and message
|
||||
conversation = self._get_conversation(conversation_id)
|
||||
message = self._get_message(message_id)
|
||||
|
||||
# chatbot app
|
||||
runner = AdvancedChatAppRunner()
|
||||
runner.run(
|
||||
application_generate_entity=application_generate_entity,
|
||||
queue_manager=queue_manager,
|
||||
conversation=conversation,
|
||||
message=message
|
||||
)
|
||||
if application_generate_entity.single_iteration_run:
|
||||
single_iteration_run = application_generate_entity.single_iteration_run
|
||||
runner.single_iteration_run(
|
||||
app_id=application_generate_entity.app_config.app_id,
|
||||
workflow_id=application_generate_entity.app_config.workflow_id,
|
||||
queue_manager=queue_manager,
|
||||
inputs=single_iteration_run.inputs,
|
||||
node_id=single_iteration_run.node_id,
|
||||
user_id=application_generate_entity.user_id
|
||||
)
|
||||
else:
|
||||
# get conversation and message
|
||||
conversation = self._get_conversation(conversation_id)
|
||||
message = self._get_message(message_id)
|
||||
|
||||
# chatbot app
|
||||
runner = AdvancedChatAppRunner()
|
||||
runner.run(
|
||||
application_generate_entity=application_generate_entity,
|
||||
queue_manager=queue_manager,
|
||||
conversation=conversation,
|
||||
message=message
|
||||
)
|
||||
except GenerateTaskStoppedException:
|
||||
pass
|
||||
except InvokeAuthorizationError:
|
||||
|
||||
@@ -102,6 +102,7 @@ class AdvancedChatAppRunner(AppRunner):
|
||||
user_from=UserFrom.ACCOUNT
|
||||
if application_generate_entity.invoke_from in [InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER]
|
||||
else UserFrom.END_USER,
|
||||
invoke_from=application_generate_entity.invoke_from,
|
||||
user_inputs=inputs,
|
||||
system_inputs={
|
||||
SystemVariable.QUERY: query,
|
||||
@@ -109,6 +110,35 @@ class AdvancedChatAppRunner(AppRunner):
|
||||
SystemVariable.CONVERSATION_ID: conversation.id,
|
||||
SystemVariable.USER_ID: user_id
|
||||
},
|
||||
callbacks=workflow_callbacks,
|
||||
call_depth=application_generate_entity.call_depth
|
||||
)
|
||||
|
||||
def single_iteration_run(self, app_id: str, workflow_id: str,
|
||||
queue_manager: AppQueueManager,
|
||||
inputs: dict, node_id: str, user_id: str) -> None:
|
||||
"""
|
||||
Single iteration run
|
||||
"""
|
||||
app_record: App = db.session.query(App).filter(App.id == app_id).first()
|
||||
if not app_record:
|
||||
raise ValueError("App not found")
|
||||
|
||||
workflow = self.get_workflow(app_model=app_record, workflow_id=workflow_id)
|
||||
if not workflow:
|
||||
raise ValueError("Workflow not initialized")
|
||||
|
||||
workflow_callbacks = [WorkflowEventTriggerCallback(
|
||||
queue_manager=queue_manager,
|
||||
workflow=workflow
|
||||
)]
|
||||
|
||||
workflow_engine_manager = WorkflowEngineManager()
|
||||
workflow_engine_manager.single_step_run_iteration_workflow_node(
|
||||
workflow=workflow,
|
||||
node_id=node_id,
|
||||
user_id=user_id,
|
||||
user_inputs=inputs,
|
||||
callbacks=workflow_callbacks
|
||||
)
|
||||
|
||||
|
||||
@@ -8,6 +8,8 @@ from core.app.entities.task_entities import (
|
||||
ChatbotAppStreamResponse,
|
||||
ErrorStreamResponse,
|
||||
MessageEndStreamResponse,
|
||||
NodeFinishStreamResponse,
|
||||
NodeStartStreamResponse,
|
||||
PingStreamResponse,
|
||||
)
|
||||
|
||||
@@ -111,6 +113,8 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
|
||||
if isinstance(sub_stream_response, ErrorStreamResponse):
|
||||
data = cls._error_to_stream_response(sub_stream_response.err)
|
||||
response_chunk.update(data)
|
||||
elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
|
||||
response_chunk.update(sub_stream_response.to_ignore_detail_dict())
|
||||
else:
|
||||
response_chunk.update(sub_stream_response.to_dict())
|
||||
|
||||
|
||||
@@ -12,6 +12,9 @@ from core.app.entities.queue_entities import (
|
||||
QueueAdvancedChatMessageEndEvent,
|
||||
QueueAnnotationReplyEvent,
|
||||
QueueErrorEvent,
|
||||
QueueIterationCompletedEvent,
|
||||
QueueIterationNextEvent,
|
||||
QueueIterationStartEvent,
|
||||
QueueMessageReplaceEvent,
|
||||
QueueNodeFailedEvent,
|
||||
QueueNodeStartedEvent,
|
||||
@@ -64,6 +67,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
_workflow: Workflow
|
||||
_user: Union[Account, EndUser]
|
||||
_workflow_system_variables: dict[SystemVariable, Any]
|
||||
_iteration_nested_relations: dict[str, list[str]]
|
||||
|
||||
def __init__(self, application_generate_entity: AdvancedChatAppGenerateEntity,
|
||||
workflow: Workflow,
|
||||
@@ -104,6 +108,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
)
|
||||
|
||||
self._stream_generate_routes = self._get_stream_generate_routes()
|
||||
self._iteration_nested_relations = self._get_iteration_nested_relations(self._workflow.graph_dict)
|
||||
self._conversation_name_generate_thread = None
|
||||
|
||||
def process(self) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]:
|
||||
@@ -204,6 +209,8 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
# search stream_generate_routes if node id is answer start at node
|
||||
if not self._task_state.current_stream_generate_state and event.node_id in self._stream_generate_routes:
|
||||
self._task_state.current_stream_generate_state = self._stream_generate_routes[event.node_id]
|
||||
# reset current route position to 0
|
||||
self._task_state.current_stream_generate_state.current_route_position = 0
|
||||
|
||||
# generate stream outputs when node started
|
||||
yield from self._generate_stream_outputs_when_node_started()
|
||||
@@ -225,6 +232,22 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_node_execution=workflow_node_execution
|
||||
)
|
||||
|
||||
if isinstance(event, QueueNodeFailedEvent):
|
||||
yield from self._handle_iteration_exception(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
error=f'Child node failed: {event.error}'
|
||||
)
|
||||
elif isinstance(event, QueueIterationStartEvent | QueueIterationNextEvent | QueueIterationCompletedEvent):
|
||||
if isinstance(event, QueueIterationNextEvent):
|
||||
# clear ran node execution infos of current iteration
|
||||
iteration_relations = self._iteration_nested_relations.get(event.node_id)
|
||||
if iteration_relations:
|
||||
for node_id in iteration_relations:
|
||||
self._task_state.ran_node_execution_infos.pop(node_id, None)
|
||||
|
||||
yield self._handle_iteration_to_stream_response(self._application_generate_entity.task_id, event)
|
||||
self._handle_iteration_operation(event)
|
||||
elif isinstance(event, QueueStopEvent | QueueWorkflowSucceededEvent | QueueWorkflowFailedEvent):
|
||||
workflow_run = self._handle_workflow_finished(event)
|
||||
if workflow_run:
|
||||
@@ -263,10 +286,6 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
self._handle_retriever_resources(event)
|
||||
elif isinstance(event, QueueAnnotationReplyEvent):
|
||||
self._handle_annotation_reply(event)
|
||||
# elif isinstance(event, QueueMessageFileEvent):
|
||||
# response = self._message_file_to_stream_response(event)
|
||||
# if response:
|
||||
# yield response
|
||||
elif isinstance(event, QueueTextChunkEvent):
|
||||
delta_text = event.text
|
||||
if delta_text is None:
|
||||
@@ -342,7 +361,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
id=self._message.id,
|
||||
**extras
|
||||
)
|
||||
|
||||
|
||||
def _get_stream_generate_routes(self) -> dict[str, ChatflowStreamGenerateRoute]:
|
||||
"""
|
||||
Get stream generate routes.
|
||||
@@ -372,7 +391,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
)
|
||||
|
||||
return stream_generate_routes
|
||||
|
||||
|
||||
def _get_answer_start_at_node_ids(self, graph: dict, target_node_id: str) \
|
||||
-> list[str]:
|
||||
"""
|
||||
@@ -401,14 +420,23 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
continue
|
||||
|
||||
node_type = source_node.get('data', {}).get('type')
|
||||
node_iteration_id = source_node.get('data', {}).get('iteration_id')
|
||||
iteration_start_node_id = None
|
||||
if node_iteration_id:
|
||||
iteration_node = next((node for node in nodes if node.get('id') == node_iteration_id), None)
|
||||
iteration_start_node_id = iteration_node.get('data', {}).get('start_node_id')
|
||||
|
||||
if node_type in [
|
||||
NodeType.ANSWER.value,
|
||||
NodeType.IF_ELSE.value,
|
||||
NodeType.QUESTION_CLASSIFIER.value
|
||||
NodeType.QUESTION_CLASSIFIER.value,
|
||||
NodeType.ITERATION.value,
|
||||
NodeType.LOOP.value
|
||||
]:
|
||||
start_node_id = target_node_id
|
||||
start_node_ids.append(start_node_id)
|
||||
elif node_type == NodeType.START.value:
|
||||
elif node_type == NodeType.START.value or \
|
||||
node_iteration_id is not None and iteration_start_node_id == source_node.get('id'):
|
||||
start_node_id = source_node_id
|
||||
start_node_ids.append(start_node_id)
|
||||
else:
|
||||
@@ -417,7 +445,27 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
start_node_ids.extend(sub_start_node_ids)
|
||||
|
||||
return start_node_ids
|
||||
|
||||
def _get_iteration_nested_relations(self, graph: dict) -> dict[str, list[str]]:
|
||||
"""
|
||||
Get iteration nested relations.
|
||||
:param graph: graph
|
||||
:return:
|
||||
"""
|
||||
nodes = graph.get('nodes')
|
||||
|
||||
iteration_ids = [node.get('id') for node in nodes
|
||||
if node.get('data', {}).get('type') in [
|
||||
NodeType.ITERATION.value,
|
||||
NodeType.LOOP.value,
|
||||
]]
|
||||
|
||||
return {
|
||||
iteration_id: [
|
||||
node.get('id') for node in nodes if node.get('data', {}).get('iteration_id') == iteration_id
|
||||
] for iteration_id in iteration_ids
|
||||
}
|
||||
|
||||
def _generate_stream_outputs_when_node_started(self) -> Generator:
|
||||
"""
|
||||
Generate stream outputs.
|
||||
@@ -425,7 +473,8 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
"""
|
||||
if self._task_state.current_stream_generate_state:
|
||||
route_chunks = self._task_state.current_stream_generate_state.generate_route[
|
||||
self._task_state.current_stream_generate_state.current_route_position:]
|
||||
self._task_state.current_stream_generate_state.current_route_position:
|
||||
]
|
||||
|
||||
for route_chunk in route_chunks:
|
||||
if route_chunk.type == 'text':
|
||||
@@ -458,7 +507,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
|
||||
|
||||
route_chunks = self._task_state.current_stream_generate_state.generate_route[
|
||||
self._task_state.current_stream_generate_state.current_route_position:]
|
||||
|
||||
|
||||
for route_chunk in route_chunks:
|
||||
if route_chunk.type == 'text':
|
||||
route_chunk = cast(TextGenerateRouteChunk, route_chunk)
|
||||
|
||||
@@ -1,8 +1,11 @@
|
||||
from typing import Optional
|
||||
from typing import Any, Optional
|
||||
|
||||
from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
|
||||
from core.app.entities.queue_entities import (
|
||||
AppQueueEvent,
|
||||
QueueIterationCompletedEvent,
|
||||
QueueIterationNextEvent,
|
||||
QueueIterationStartEvent,
|
||||
QueueNodeFailedEvent,
|
||||
QueueNodeStartedEvent,
|
||||
QueueNodeSucceededEvent,
|
||||
@@ -130,6 +133,66 @@ class WorkflowEventTriggerCallback(BaseWorkflowCallback):
|
||||
), PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_workflow_iteration_started(self,
|
||||
node_id: str,
|
||||
node_type: NodeType,
|
||||
node_run_index: int = 1,
|
||||
node_data: Optional[BaseNodeData] = None,
|
||||
inputs: dict = None,
|
||||
predecessor_node_id: Optional[str] = None,
|
||||
metadata: Optional[dict] = None) -> None:
|
||||
"""
|
||||
Publish iteration started
|
||||
"""
|
||||
self._queue_manager.publish(
|
||||
QueueIterationStartEvent(
|
||||
node_id=node_id,
|
||||
node_type=node_type,
|
||||
node_run_index=node_run_index,
|
||||
node_data=node_data,
|
||||
inputs=inputs,
|
||||
predecessor_node_id=predecessor_node_id,
|
||||
metadata=metadata
|
||||
),
|
||||
PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_workflow_iteration_next(self, node_id: str,
|
||||
node_type: NodeType,
|
||||
index: int,
|
||||
node_run_index: int,
|
||||
output: Optional[Any]) -> None:
|
||||
"""
|
||||
Publish iteration next
|
||||
"""
|
||||
self._queue_manager._publish(
|
||||
QueueIterationNextEvent(
|
||||
node_id=node_id,
|
||||
node_type=node_type,
|
||||
index=index,
|
||||
node_run_index=node_run_index,
|
||||
output=output
|
||||
),
|
||||
PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_workflow_iteration_completed(self, node_id: str,
|
||||
node_type: NodeType,
|
||||
node_run_index: int,
|
||||
outputs: dict) -> None:
|
||||
"""
|
||||
Publish iteration completed
|
||||
"""
|
||||
self._queue_manager._publish(
|
||||
QueueIterationCompletedEvent(
|
||||
node_id=node_id,
|
||||
node_type=node_type,
|
||||
node_run_index=node_run_index,
|
||||
outputs=outputs
|
||||
),
|
||||
PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_event(self, event: AppQueueEvent) -> None:
|
||||
"""
|
||||
Publish event
|
||||
|
||||
@@ -83,7 +83,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
|
||||
)
|
||||
|
||||
# parse files
|
||||
files = args['files'] if 'files' in args and args['files'] else []
|
||||
files = args['files'] if args.get('files') else []
|
||||
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
|
||||
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
|
||||
if file_extra_config:
|
||||
@@ -115,7 +115,8 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
|
||||
user_id=user.id,
|
||||
stream=stream,
|
||||
invoke_from=invoke_from,
|
||||
extras=extras
|
||||
extras=extras,
|
||||
call_depth=0
|
||||
)
|
||||
|
||||
# init generate records
|
||||
|
||||
@@ -80,7 +80,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
|
||||
)
|
||||
|
||||
# parse files
|
||||
files = args['files'] if 'files' in args and args['files'] else []
|
||||
files = args['files'] if args.get('files') else []
|
||||
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
|
||||
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
|
||||
if file_extra_config:
|
||||
|
||||
@@ -75,7 +75,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
|
||||
)
|
||||
|
||||
# parse files
|
||||
files = args['files'] if 'files' in args and args['files'] else []
|
||||
files = args['files'] if args.get('files') else []
|
||||
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
|
||||
file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
|
||||
if file_extra_config:
|
||||
|
||||
@@ -34,7 +34,8 @@ class WorkflowAppGenerator(BaseAppGenerator):
|
||||
user: Union[Account, EndUser],
|
||||
args: dict,
|
||||
invoke_from: InvokeFrom,
|
||||
stream: bool = True) \
|
||||
stream: bool = True,
|
||||
call_depth: int = 0) \
|
||||
-> Union[dict, Generator[dict, None, None]]:
|
||||
"""
|
||||
Generate App response.
|
||||
@@ -49,7 +50,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
|
||||
inputs = args['inputs']
|
||||
|
||||
# parse files
|
||||
files = args['files'] if 'files' in args and args['files'] else []
|
||||
files = args['files'] if args.get('files') else []
|
||||
message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
|
||||
file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
|
||||
if file_extra_config:
|
||||
@@ -75,9 +76,38 @@ class WorkflowAppGenerator(BaseAppGenerator):
|
||||
files=file_objs,
|
||||
user_id=user.id,
|
||||
stream=stream,
|
||||
invoke_from=invoke_from
|
||||
invoke_from=invoke_from,
|
||||
call_depth=call_depth
|
||||
)
|
||||
|
||||
return self._generate(
|
||||
app_model=app_model,
|
||||
workflow=workflow,
|
||||
user=user,
|
||||
application_generate_entity=application_generate_entity,
|
||||
invoke_from=invoke_from,
|
||||
stream=stream,
|
||||
call_depth=call_depth
|
||||
)
|
||||
|
||||
def _generate(self, app_model: App,
|
||||
workflow: Workflow,
|
||||
user: Union[Account, EndUser],
|
||||
application_generate_entity: WorkflowAppGenerateEntity,
|
||||
invoke_from: InvokeFrom,
|
||||
stream: bool = True,
|
||||
call_depth: int = 0) \
|
||||
-> Union[dict, Generator[dict, None, None]]:
|
||||
"""
|
||||
Generate App response.
|
||||
|
||||
:param app_model: App
|
||||
:param workflow: Workflow
|
||||
:param user: account or end user
|
||||
:param application_generate_entity: application generate entity
|
||||
:param invoke_from: invoke from source
|
||||
:param stream: is stream
|
||||
"""
|
||||
# init queue manager
|
||||
queue_manager = WorkflowAppQueueManager(
|
||||
task_id=application_generate_entity.task_id,
|
||||
@@ -109,6 +139,64 @@ class WorkflowAppGenerator(BaseAppGenerator):
|
||||
invoke_from=invoke_from
|
||||
)
|
||||
|
||||
def single_iteration_generate(self, app_model: App,
|
||||
workflow: Workflow,
|
||||
node_id: str,
|
||||
user: Account,
|
||||
args: dict,
|
||||
stream: bool = True) \
|
||||
-> Union[dict, Generator[dict, None, None]]:
|
||||
"""
|
||||
Generate App response.
|
||||
|
||||
:param app_model: App
|
||||
:param workflow: Workflow
|
||||
:param user: account or end user
|
||||
:param args: request args
|
||||
:param invoke_from: invoke from source
|
||||
:param stream: is stream
|
||||
"""
|
||||
if not node_id:
|
||||
raise ValueError('node_id is required')
|
||||
|
||||
if args.get('inputs') is None:
|
||||
raise ValueError('inputs is required')
|
||||
|
||||
extras = {
|
||||
"auto_generate_conversation_name": False
|
||||
}
|
||||
|
||||
# convert to app config
|
||||
app_config = WorkflowAppConfigManager.get_app_config(
|
||||
app_model=app_model,
|
||||
workflow=workflow
|
||||
)
|
||||
|
||||
# init application generate entity
|
||||
application_generate_entity = WorkflowAppGenerateEntity(
|
||||
task_id=str(uuid.uuid4()),
|
||||
app_config=app_config,
|
||||
inputs={},
|
||||
files=[],
|
||||
user_id=user.id,
|
||||
stream=stream,
|
||||
invoke_from=InvokeFrom.DEBUGGER,
|
||||
extras=extras,
|
||||
single_iteration_run=WorkflowAppGenerateEntity.SingleIterationRunEntity(
|
||||
node_id=node_id,
|
||||
inputs=args['inputs']
|
||||
)
|
||||
)
|
||||
|
||||
return self._generate(
|
||||
app_model=app_model,
|
||||
workflow=workflow,
|
||||
user=user,
|
||||
invoke_from=InvokeFrom.DEBUGGER,
|
||||
application_generate_entity=application_generate_entity,
|
||||
stream=stream
|
||||
)
|
||||
|
||||
def _generate_worker(self, flask_app: Flask,
|
||||
application_generate_entity: WorkflowAppGenerateEntity,
|
||||
queue_manager: AppQueueManager) -> None:
|
||||
@@ -123,10 +211,21 @@ class WorkflowAppGenerator(BaseAppGenerator):
|
||||
try:
|
||||
# workflow app
|
||||
runner = WorkflowAppRunner()
|
||||
runner.run(
|
||||
application_generate_entity=application_generate_entity,
|
||||
queue_manager=queue_manager
|
||||
)
|
||||
if application_generate_entity.single_iteration_run:
|
||||
single_iteration_run = application_generate_entity.single_iteration_run
|
||||
runner.single_iteration_run(
|
||||
app_id=application_generate_entity.app_config.app_id,
|
||||
workflow_id=application_generate_entity.app_config.workflow_id,
|
||||
queue_manager=queue_manager,
|
||||
inputs=single_iteration_run.inputs,
|
||||
node_id=single_iteration_run.node_id,
|
||||
user_id=application_generate_entity.user_id
|
||||
)
|
||||
else:
|
||||
runner.run(
|
||||
application_generate_entity=application_generate_entity,
|
||||
queue_manager=queue_manager
|
||||
)
|
||||
except GenerateTaskStoppedException:
|
||||
pass
|
||||
except InvokeAuthorizationError:
|
||||
|
||||
@@ -73,11 +73,44 @@ class WorkflowAppRunner:
|
||||
user_from=UserFrom.ACCOUNT
|
||||
if application_generate_entity.invoke_from in [InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER]
|
||||
else UserFrom.END_USER,
|
||||
invoke_from=application_generate_entity.invoke_from,
|
||||
user_inputs=inputs,
|
||||
system_inputs={
|
||||
SystemVariable.FILES: files,
|
||||
SystemVariable.USER_ID: user_id
|
||||
},
|
||||
callbacks=workflow_callbacks,
|
||||
call_depth=application_generate_entity.call_depth
|
||||
)
|
||||
|
||||
def single_iteration_run(self, app_id: str, workflow_id: str,
|
||||
queue_manager: AppQueueManager,
|
||||
inputs: dict, node_id: str, user_id: str) -> None:
|
||||
"""
|
||||
Single iteration run
|
||||
"""
|
||||
app_record: App = db.session.query(App).filter(App.id == app_id).first()
|
||||
if not app_record:
|
||||
raise ValueError("App not found")
|
||||
|
||||
if not app_record.workflow_id:
|
||||
raise ValueError("Workflow not initialized")
|
||||
|
||||
workflow = self.get_workflow(app_model=app_record, workflow_id=workflow_id)
|
||||
if not workflow:
|
||||
raise ValueError("Workflow not initialized")
|
||||
|
||||
workflow_callbacks = [WorkflowEventTriggerCallback(
|
||||
queue_manager=queue_manager,
|
||||
workflow=workflow
|
||||
)]
|
||||
|
||||
workflow_engine_manager = WorkflowEngineManager()
|
||||
workflow_engine_manager.single_step_run_iteration_workflow_node(
|
||||
workflow=workflow,
|
||||
node_id=node_id,
|
||||
user_id=user_id,
|
||||
user_inputs=inputs,
|
||||
callbacks=workflow_callbacks
|
||||
)
|
||||
|
||||
|
||||
@@ -5,6 +5,8 @@ from typing import cast
|
||||
from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
|
||||
from core.app.entities.task_entities import (
|
||||
ErrorStreamResponse,
|
||||
NodeFinishStreamResponse,
|
||||
NodeStartStreamResponse,
|
||||
PingStreamResponse,
|
||||
WorkflowAppBlockingResponse,
|
||||
WorkflowAppStreamResponse,
|
||||
@@ -68,4 +70,24 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
|
||||
:param stream_response: stream response
|
||||
:return:
|
||||
"""
|
||||
return cls.convert_stream_full_response(stream_response)
|
||||
for chunk in stream_response:
|
||||
chunk = cast(WorkflowAppStreamResponse, chunk)
|
||||
sub_stream_response = chunk.stream_response
|
||||
|
||||
if isinstance(sub_stream_response, PingStreamResponse):
|
||||
yield 'ping'
|
||||
continue
|
||||
|
||||
response_chunk = {
|
||||
'event': sub_stream_response.event.value,
|
||||
'workflow_run_id': chunk.workflow_run_id,
|
||||
}
|
||||
|
||||
if isinstance(sub_stream_response, ErrorStreamResponse):
|
||||
data = cls._error_to_stream_response(sub_stream_response.err)
|
||||
response_chunk.update(data)
|
||||
elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
|
||||
response_chunk.update(sub_stream_response.to_ignore_detail_dict())
|
||||
else:
|
||||
response_chunk.update(sub_stream_response.to_dict())
|
||||
yield json.dumps(response_chunk)
|
||||
|
||||
@@ -9,6 +9,9 @@ from core.app.entities.app_invoke_entities import (
|
||||
)
|
||||
from core.app.entities.queue_entities import (
|
||||
QueueErrorEvent,
|
||||
QueueIterationCompletedEvent,
|
||||
QueueIterationNextEvent,
|
||||
QueueIterationStartEvent,
|
||||
QueueMessageReplaceEvent,
|
||||
QueueNodeFailedEvent,
|
||||
QueueNodeStartedEvent,
|
||||
@@ -58,6 +61,7 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
|
||||
_task_state: WorkflowTaskState
|
||||
_application_generate_entity: WorkflowAppGenerateEntity
|
||||
_workflow_system_variables: dict[SystemVariable, Any]
|
||||
_iteration_nested_relations: dict[str, list[str]]
|
||||
|
||||
def __init__(self, application_generate_entity: WorkflowAppGenerateEntity,
|
||||
workflow: Workflow,
|
||||
@@ -85,8 +89,11 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
|
||||
SystemVariable.USER_ID: user_id
|
||||
}
|
||||
|
||||
self._task_state = WorkflowTaskState()
|
||||
self._task_state = WorkflowTaskState(
|
||||
iteration_nested_node_ids=[]
|
||||
)
|
||||
self._stream_generate_nodes = self._get_stream_generate_nodes()
|
||||
self._iteration_nested_relations = self._get_iteration_nested_relations(self._workflow.graph_dict)
|
||||
|
||||
def process(self) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
|
||||
"""
|
||||
@@ -191,6 +198,22 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
workflow_node_execution=workflow_node_execution
|
||||
)
|
||||
|
||||
if isinstance(event, QueueNodeFailedEvent):
|
||||
yield from self._handle_iteration_exception(
|
||||
task_id=self._application_generate_entity.task_id,
|
||||
error=f'Child node failed: {event.error}'
|
||||
)
|
||||
elif isinstance(event, QueueIterationStartEvent | QueueIterationNextEvent | QueueIterationCompletedEvent):
|
||||
if isinstance(event, QueueIterationNextEvent):
|
||||
# clear ran node execution infos of current iteration
|
||||
iteration_relations = self._iteration_nested_relations.get(event.node_id)
|
||||
if iteration_relations:
|
||||
for node_id in iteration_relations:
|
||||
self._task_state.ran_node_execution_infos.pop(node_id, None)
|
||||
|
||||
yield self._handle_iteration_to_stream_response(self._application_generate_entity.task_id, event)
|
||||
self._handle_iteration_operation(event)
|
||||
elif isinstance(event, QueueStopEvent | QueueWorkflowSucceededEvent | QueueWorkflowFailedEvent):
|
||||
workflow_run = self._handle_workflow_finished(event)
|
||||
|
||||
@@ -331,13 +354,20 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
|
||||
continue
|
||||
|
||||
node_type = source_node.get('data', {}).get('type')
|
||||
node_iteration_id = source_node.get('data', {}).get('iteration_id')
|
||||
iteration_start_node_id = None
|
||||
if node_iteration_id:
|
||||
iteration_node = next((node for node in nodes if node.get('id') == node_iteration_id), None)
|
||||
iteration_start_node_id = iteration_node.get('data', {}).get('start_node_id')
|
||||
|
||||
if node_type in [
|
||||
NodeType.IF_ELSE.value,
|
||||
NodeType.QUESTION_CLASSIFIER.value
|
||||
]:
|
||||
start_node_id = target_node_id
|
||||
start_node_ids.append(start_node_id)
|
||||
elif node_type == NodeType.START.value:
|
||||
elif node_type == NodeType.START.value or \
|
||||
node_iteration_id is not None and iteration_start_node_id == source_node.get('id'):
|
||||
start_node_id = source_node_id
|
||||
start_node_ids.append(start_node_id)
|
||||
else:
|
||||
@@ -411,3 +441,24 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
def _get_iteration_nested_relations(self, graph: dict) -> dict[str, list[str]]:
|
||||
"""
|
||||
Get iteration nested relations.
|
||||
:param graph: graph
|
||||
:return:
|
||||
"""
|
||||
nodes = graph.get('nodes')
|
||||
|
||||
iteration_ids = [node.get('id') for node in nodes
|
||||
if node.get('data', {}).get('type') in [
|
||||
NodeType.ITERATION.value,
|
||||
NodeType.LOOP.value,
|
||||
]]
|
||||
|
||||
return {
|
||||
iteration_id: [
|
||||
node.get('id') for node in nodes if node.get('data', {}).get('iteration_id') == iteration_id
|
||||
] for iteration_id in iteration_ids
|
||||
}
|
||||
|
||||
@@ -1,8 +1,11 @@
|
||||
from typing import Optional
|
||||
from typing import Any, Optional
|
||||
|
||||
from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
|
||||
from core.app.entities.queue_entities import (
|
||||
AppQueueEvent,
|
||||
QueueIterationCompletedEvent,
|
||||
QueueIterationNextEvent,
|
||||
QueueIterationStartEvent,
|
||||
QueueNodeFailedEvent,
|
||||
QueueNodeStartedEvent,
|
||||
QueueNodeSucceededEvent,
|
||||
@@ -130,6 +133,66 @@ class WorkflowEventTriggerCallback(BaseWorkflowCallback):
|
||||
), PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_workflow_iteration_started(self,
|
||||
node_id: str,
|
||||
node_type: NodeType,
|
||||
node_run_index: int = 1,
|
||||
node_data: Optional[BaseNodeData] = None,
|
||||
inputs: dict = None,
|
||||
predecessor_node_id: Optional[str] = None,
|
||||
metadata: Optional[dict] = None) -> None:
|
||||
"""
|
||||
Publish iteration started
|
||||
"""
|
||||
self._queue_manager.publish(
|
||||
QueueIterationStartEvent(
|
||||
node_id=node_id,
|
||||
node_type=node_type,
|
||||
node_run_index=node_run_index,
|
||||
node_data=node_data,
|
||||
inputs=inputs,
|
||||
predecessor_node_id=predecessor_node_id,
|
||||
metadata=metadata
|
||||
),
|
||||
PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_workflow_iteration_next(self, node_id: str,
|
||||
node_type: NodeType,
|
||||
index: int,
|
||||
node_run_index: int,
|
||||
output: Optional[Any]) -> None:
|
||||
"""
|
||||
Publish iteration next
|
||||
"""
|
||||
self._queue_manager.publish(
|
||||
QueueIterationNextEvent(
|
||||
node_id=node_id,
|
||||
node_type=node_type,
|
||||
index=index,
|
||||
node_run_index=node_run_index,
|
||||
output=output
|
||||
),
|
||||
PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_workflow_iteration_completed(self, node_id: str,
|
||||
node_type: NodeType,
|
||||
node_run_index: int,
|
||||
outputs: dict) -> None:
|
||||
"""
|
||||
Publish iteration completed
|
||||
"""
|
||||
self._queue_manager.publish(
|
||||
QueueIterationCompletedEvent(
|
||||
node_id=node_id,
|
||||
node_type=node_type,
|
||||
node_run_index=node_run_index,
|
||||
outputs=outputs
|
||||
),
|
||||
PublishFrom.APPLICATION_MANAGER
|
||||
)
|
||||
|
||||
def on_event(self, event: AppQueueEvent) -> None:
|
||||
"""
|
||||
Publish event
|
||||
|
||||
@@ -102,6 +102,39 @@ class WorkflowLoggingCallback(BaseWorkflowCallback):
|
||||
|
||||
self.print_text(text, color="pink", end="")
|
||||
|
||||
def on_workflow_iteration_started(self,
|
||||
node_id: str,
|
||||
node_type: NodeType,
|
||||
node_run_index: int = 1,
|
||||
node_data: Optional[BaseNodeData] = None,
|
||||
inputs: dict = None,
|
||||
predecessor_node_id: Optional[str] = None,
|
||||
metadata: Optional[dict] = None) -> None:
|
||||
"""
|
||||
Publish iteration started
|
||||
"""
|
||||
self.print_text("\n[on_workflow_iteration_started]", color='blue')
|
||||
self.print_text(f"Node ID: {node_id}", color='blue')
|
||||
|
||||
def on_workflow_iteration_next(self, node_id: str,
|
||||
node_type: NodeType,
|
||||
index: int,
|
||||
node_run_index: int,
|
||||
output: Optional[dict]) -> None:
|
||||
"""
|
||||
Publish iteration next
|
||||
"""
|
||||
self.print_text("\n[on_workflow_iteration_next]", color='blue')
|
||||
|
||||
def on_workflow_iteration_completed(self, node_id: str,
|
||||
node_type: NodeType,
|
||||
node_run_index: int,
|
||||
outputs: dict) -> None:
|
||||
"""
|
||||
Publish iteration completed
|
||||
"""
|
||||
self.print_text("\n[on_workflow_iteration_completed]", color='blue')
|
||||
|
||||
def on_event(self, event: AppQueueEvent) -> None:
|
||||
"""
|
||||
Publish event
|
||||
|
||||
@@ -80,6 +80,9 @@ class AppGenerateEntity(BaseModel):
|
||||
stream: bool
|
||||
invoke_from: InvokeFrom
|
||||
|
||||
# invoke call depth
|
||||
call_depth: int = 0
|
||||
|
||||
# extra parameters, like: auto_generate_conversation_name
|
||||
extras: dict[str, Any] = {}
|
||||
|
||||
@@ -126,6 +129,14 @@ class AdvancedChatAppGenerateEntity(AppGenerateEntity):
|
||||
conversation_id: Optional[str] = None
|
||||
query: Optional[str] = None
|
||||
|
||||
class SingleIterationRunEntity(BaseModel):
|
||||
"""
|
||||
Single Iteration Run Entity.
|
||||
"""
|
||||
node_id: str
|
||||
inputs: dict
|
||||
|
||||
single_iteration_run: Optional[SingleIterationRunEntity] = None
|
||||
|
||||
class WorkflowAppGenerateEntity(AppGenerateEntity):
|
||||
"""
|
||||
@@ -133,3 +144,12 @@ class WorkflowAppGenerateEntity(AppGenerateEntity):
|
||||
"""
|
||||
# app config
|
||||
app_config: WorkflowUIBasedAppConfig
|
||||
|
||||
class SingleIterationRunEntity(BaseModel):
|
||||
"""
|
||||
Single Iteration Run Entity.
|
||||
"""
|
||||
node_id: str
|
||||
inputs: dict
|
||||
|
||||
single_iteration_run: Optional[SingleIterationRunEntity] = None
|
||||
@@ -1,7 +1,7 @@
|
||||
from enum import Enum
|
||||
from typing import Any, Optional
|
||||
|
||||
from pydantic import BaseModel
|
||||
from pydantic import BaseModel, validator
|
||||
|
||||
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
|
||||
from core.workflow.entities.base_node_data_entities import BaseNodeData
|
||||
@@ -21,6 +21,9 @@ class QueueEvent(Enum):
|
||||
WORKFLOW_STARTED = "workflow_started"
|
||||
WORKFLOW_SUCCEEDED = "workflow_succeeded"
|
||||
WORKFLOW_FAILED = "workflow_failed"
|
||||
ITERATION_START = "iteration_start"
|
||||
ITERATION_NEXT = "iteration_next"
|
||||
ITERATION_COMPLETED = "iteration_completed"
|
||||
NODE_STARTED = "node_started"
|
||||
NODE_SUCCEEDED = "node_succeeded"
|
||||
NODE_FAILED = "node_failed"
|
||||
@@ -47,6 +50,55 @@ class QueueLLMChunkEvent(AppQueueEvent):
|
||||
event = QueueEvent.LLM_CHUNK
|
||||
chunk: LLMResultChunk
|
||||
|
||||
class QueueIterationStartEvent(AppQueueEvent):
|
||||
"""
|
||||
QueueIterationStartEvent entity
|
||||
"""
|
||||
event = QueueEvent.ITERATION_START
|
||||
node_id: str
|
||||
node_type: NodeType
|
||||
node_data: BaseNodeData
|
||||
|
||||
node_run_index: int
|
||||
inputs: dict = None
|
||||
predecessor_node_id: Optional[str] = None
|
||||
metadata: Optional[dict] = None
|
||||
|
||||
class QueueIterationNextEvent(AppQueueEvent):
|
||||
"""
|
||||
QueueIterationNextEvent entity
|
||||
"""
|
||||
event = QueueEvent.ITERATION_NEXT
|
||||
|
||||
index: int
|
||||
node_id: str
|
||||
node_type: NodeType
|
||||
|
||||
node_run_index: int
|
||||
output: Optional[Any] # output for the current iteration
|
||||
|
||||
@validator('output', pre=True, always=True)
|
||||
def set_output(cls, v):
|
||||
"""
|
||||
Set output
|
||||
"""
|
||||
if v is None:
|
||||
return None
|
||||
if isinstance(v, int | float | str | bool | dict | list):
|
||||
return v
|
||||
raise ValueError('output must be a valid type')
|
||||
|
||||
class QueueIterationCompletedEvent(AppQueueEvent):
|
||||
"""
|
||||
QueueIterationCompletedEvent entity
|
||||
"""
|
||||
event = QueueEvent.ITERATION_COMPLETED
|
||||
|
||||
node_id: str
|
||||
node_type: NodeType
|
||||
|
||||
node_run_index: int
|
||||
outputs: dict
|
||||
|
||||
class QueueTextChunkEvent(AppQueueEvent):
|
||||
"""
|
||||
|
||||
@@ -1,12 +1,14 @@
|
||||
from enum import Enum
|
||||
from typing import Optional
|
||||
from typing import Any, Optional
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage
|
||||
from core.model_runtime.utils.encoders import jsonable_encoder
|
||||
from core.workflow.entities.base_node_data_entities import BaseNodeData
|
||||
from core.workflow.entities.node_entities import NodeType
|
||||
from core.workflow.nodes.answer.entities import GenerateRouteChunk
|
||||
from models.workflow import WorkflowNodeExecutionStatus
|
||||
|
||||
|
||||
class WorkflowStreamGenerateNodes(BaseModel):
|
||||
@@ -65,6 +67,7 @@ class WorkflowTaskState(TaskState):
|
||||
|
||||
current_stream_generate_state: Optional[WorkflowStreamGenerateNodes] = None
|
||||
|
||||
iteration_nested_node_ids: list[str] = None
|
||||
|
||||
class AdvancedChatTaskState(WorkflowTaskState):
|
||||
"""
|
||||
@@ -91,6 +94,9 @@ class StreamEvent(Enum):
|
||||
WORKFLOW_FINISHED = "workflow_finished"
|
||||
NODE_STARTED = "node_started"
|
||||
NODE_FINISHED = "node_finished"
|
||||
ITERATION_STARTED = "iteration_started"
|
||||
ITERATION_NEXT = "iteration_next"
|
||||
ITERATION_COMPLETED = "iteration_completed"
|
||||
TEXT_CHUNK = "text_chunk"
|
||||
TEXT_REPLACE = "text_replace"
|
||||
|
||||
@@ -246,6 +252,24 @@ class NodeStartStreamResponse(StreamResponse):
|
||||
workflow_run_id: str
|
||||
data: Data
|
||||
|
||||
def to_ignore_detail_dict(self):
|
||||
return {
|
||||
"event": self.event.value,
|
||||
"task_id": self.task_id,
|
||||
"workflow_run_id": self.workflow_run_id,
|
||||
"data": {
|
||||
"id": self.data.id,
|
||||
"node_id": self.data.node_id,
|
||||
"node_type": self.data.node_type,
|
||||
"title": self.data.title,
|
||||
"index": self.data.index,
|
||||
"predecessor_node_id": self.data.predecessor_node_id,
|
||||
"inputs": None,
|
||||
"created_at": self.data.created_at,
|
||||
"extras": {}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
class NodeFinishStreamResponse(StreamResponse):
|
||||
"""
|
||||
@@ -276,6 +300,99 @@ class NodeFinishStreamResponse(StreamResponse):
|
||||
workflow_run_id: str
|
||||
data: Data
|
||||
|
||||
def to_ignore_detail_dict(self):
|
||||
return {
|
||||
"event": self.event.value,
|
||||
"task_id": self.task_id,
|
||||
"workflow_run_id": self.workflow_run_id,
|
||||
"data": {
|
||||
"id": self.data.id,
|
||||
"node_id": self.data.node_id,
|
||||
"node_type": self.data.node_type,
|
||||
"title": self.data.title,
|
||||
"index": self.data.index,
|
||||
"predecessor_node_id": self.data.predecessor_node_id,
|
||||
"inputs": None,
|
||||
"process_data": None,
|
||||
"outputs": None,
|
||||
"status": self.data.status,
|
||||
"error": None,
|
||||
"elapsed_time": self.data.elapsed_time,
|
||||
"execution_metadata": None,
|
||||
"created_at": self.data.created_at,
|
||||
"finished_at": self.data.finished_at,
|
||||
"files": []
|
||||
}
|
||||
}
|
||||
|
||||
class IterationNodeStartStreamResponse(StreamResponse):
|
||||
"""
|
||||
NodeStartStreamResponse entity
|
||||
"""
|
||||
class Data(BaseModel):
|
||||
"""
|
||||
Data entity
|
||||
"""
|
||||
id: str
|
||||
node_id: str
|
||||
node_type: str
|
||||
title: str
|
||||
created_at: int
|
||||
extras: dict = {}
|
||||
metadata: dict = {}
|
||||
inputs: dict = {}
|
||||
|
||||
event: StreamEvent = StreamEvent.ITERATION_STARTED
|
||||
workflow_run_id: str
|
||||
data: Data
|
||||
|
||||
class IterationNodeNextStreamResponse(StreamResponse):
|
||||
"""
|
||||
NodeStartStreamResponse entity
|
||||
"""
|
||||
class Data(BaseModel):
|
||||
"""
|
||||
Data entity
|
||||
"""
|
||||
id: str
|
||||
node_id: str
|
||||
node_type: str
|
||||
title: str
|
||||
index: int
|
||||
created_at: int
|
||||
pre_iteration_output: Optional[Any]
|
||||
extras: dict = {}
|
||||
|
||||
event: StreamEvent = StreamEvent.ITERATION_NEXT
|
||||
workflow_run_id: str
|
||||
data: Data
|
||||
|
||||
class IterationNodeCompletedStreamResponse(StreamResponse):
|
||||
"""
|
||||
NodeStartStreamResponse entity
|
||||
"""
|
||||
class Data(BaseModel):
|
||||
"""
|
||||
Data entity
|
||||
"""
|
||||
id: str
|
||||
node_id: str
|
||||
node_type: str
|
||||
title: str
|
||||
outputs: Optional[dict]
|
||||
created_at: int
|
||||
extras: dict = None
|
||||
inputs: dict = None
|
||||
status: WorkflowNodeExecutionStatus
|
||||
error: Optional[str]
|
||||
elapsed_time: float
|
||||
total_tokens: int
|
||||
finished_at: int
|
||||
steps: int
|
||||
|
||||
event: StreamEvent = StreamEvent.ITERATION_COMPLETED
|
||||
workflow_run_id: str
|
||||
data: Data
|
||||
|
||||
class TextChunkStreamResponse(StreamResponse):
|
||||
"""
|
||||
@@ -411,3 +528,23 @@ class WorkflowAppBlockingResponse(AppBlockingResponse):
|
||||
|
||||
workflow_run_id: str
|
||||
data: Data
|
||||
|
||||
class WorkflowIterationState(BaseModel):
|
||||
"""
|
||||
WorkflowIterationState entity
|
||||
"""
|
||||
class Data(BaseModel):
|
||||
"""
|
||||
Data entity
|
||||
"""
|
||||
parent_iteration_id: Optional[str] = None
|
||||
iteration_id: str
|
||||
current_index: int
|
||||
iteration_steps_boundary: list[int] = None
|
||||
node_execution_id: str
|
||||
started_at: float
|
||||
inputs: dict = None
|
||||
total_tokens: int = 0
|
||||
node_data: BaseNodeData
|
||||
|
||||
current_iterations: dict[str, Data] = None
|
||||
@@ -1,9 +1,9 @@
|
||||
import json
|
||||
import time
|
||||
from datetime import datetime, timezone
|
||||
from typing import Any, Optional, Union, cast
|
||||
from typing import Optional, Union, cast
|
||||
|
||||
from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom, WorkflowAppGenerateEntity
|
||||
from core.app.entities.app_invoke_entities import InvokeFrom
|
||||
from core.app.entities.queue_entities import (
|
||||
QueueNodeFailedEvent,
|
||||
QueueNodeStartedEvent,
|
||||
@@ -13,18 +13,17 @@ from core.app.entities.queue_entities import (
|
||||
QueueWorkflowSucceededEvent,
|
||||
)
|
||||
from core.app.entities.task_entities import (
|
||||
AdvancedChatTaskState,
|
||||
NodeExecutionInfo,
|
||||
NodeFinishStreamResponse,
|
||||
NodeStartStreamResponse,
|
||||
WorkflowFinishStreamResponse,
|
||||
WorkflowStartStreamResponse,
|
||||
WorkflowTaskState,
|
||||
)
|
||||
from core.app.task_pipeline.workflow_iteration_cycle_manage import WorkflowIterationCycleManage
|
||||
from core.file.file_obj import FileVar
|
||||
from core.model_runtime.utils.encoders import jsonable_encoder
|
||||
from core.tools.tool_manager import ToolManager
|
||||
from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeType, SystemVariable
|
||||
from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeType
|
||||
from core.workflow.nodes.tool.entities import ToolNodeData
|
||||
from core.workflow.workflow_engine_manager import WorkflowEngineManager
|
||||
from extensions.ext_database import db
|
||||
@@ -42,13 +41,7 @@ from models.workflow import (
|
||||
)
|
||||
|
||||
|
||||
class WorkflowCycleManage:
|
||||
_application_generate_entity: Union[AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity]
|
||||
_workflow: Workflow
|
||||
_user: Union[Account, EndUser]
|
||||
_task_state: Union[AdvancedChatTaskState, WorkflowTaskState]
|
||||
_workflow_system_variables: dict[SystemVariable, Any]
|
||||
|
||||
class WorkflowCycleManage(WorkflowIterationCycleManage):
|
||||
def _init_workflow_run(self, workflow: Workflow,
|
||||
triggered_from: WorkflowRunTriggeredFrom,
|
||||
user: Union[Account, EndUser],
|
||||
@@ -237,6 +230,7 @@ class WorkflowCycleManage:
|
||||
inputs: Optional[dict] = None,
|
||||
process_data: Optional[dict] = None,
|
||||
outputs: Optional[dict] = None,
|
||||
execution_metadata: Optional[dict] = None
|
||||
) -> WorkflowNodeExecution:
|
||||
"""
|
||||
Workflow node execution failed
|
||||
@@ -255,6 +249,8 @@ class WorkflowCycleManage:
|
||||
workflow_node_execution.inputs = json.dumps(inputs) if inputs else None
|
||||
workflow_node_execution.process_data = json.dumps(process_data) if process_data else None
|
||||
workflow_node_execution.outputs = json.dumps(outputs) if outputs else None
|
||||
workflow_node_execution.execution_metadata = json.dumps(jsonable_encoder(execution_metadata)) \
|
||||
if execution_metadata else None
|
||||
|
||||
db.session.commit()
|
||||
db.session.refresh(workflow_node_execution)
|
||||
@@ -444,6 +440,23 @@ class WorkflowCycleManage:
|
||||
current_node_execution = self._task_state.ran_node_execution_infos[event.node_id]
|
||||
workflow_node_execution = db.session.query(WorkflowNodeExecution).filter(
|
||||
WorkflowNodeExecution.id == current_node_execution.workflow_node_execution_id).first()
|
||||
|
||||
execution_metadata = event.execution_metadata if isinstance(event, QueueNodeSucceededEvent) else None
|
||||
|
||||
if self._iteration_state and self._iteration_state.current_iterations:
|
||||
if not execution_metadata:
|
||||
execution_metadata = {}
|
||||
current_iteration_data = None
|
||||
for iteration_node_id in self._iteration_state.current_iterations:
|
||||
data = self._iteration_state.current_iterations[iteration_node_id]
|
||||
if data.parent_iteration_id == None:
|
||||
current_iteration_data = data
|
||||
break
|
||||
|
||||
if current_iteration_data:
|
||||
execution_metadata[NodeRunMetadataKey.ITERATION_ID] = current_iteration_data.iteration_id
|
||||
execution_metadata[NodeRunMetadataKey.ITERATION_INDEX] = current_iteration_data.current_index
|
||||
|
||||
if isinstance(event, QueueNodeSucceededEvent):
|
||||
workflow_node_execution = self._workflow_node_execution_success(
|
||||
workflow_node_execution=workflow_node_execution,
|
||||
@@ -451,12 +464,18 @@ class WorkflowCycleManage:
|
||||
inputs=event.inputs,
|
||||
process_data=event.process_data,
|
||||
outputs=event.outputs,
|
||||
execution_metadata=event.execution_metadata
|
||||
execution_metadata=execution_metadata
|
||||
)
|
||||
|
||||
if event.execution_metadata and event.execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS):
|
||||
if execution_metadata and execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS):
|
||||
self._task_state.total_tokens += (
|
||||
int(event.execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS)))
|
||||
int(execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS)))
|
||||
|
||||
if self._iteration_state:
|
||||
for iteration_node_id in self._iteration_state.current_iterations:
|
||||
data = self._iteration_state.current_iterations[iteration_node_id]
|
||||
if execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS):
|
||||
data.total_tokens += int(execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS))
|
||||
|
||||
if workflow_node_execution.node_type == NodeType.LLM.value:
|
||||
outputs = workflow_node_execution.outputs_dict
|
||||
@@ -469,7 +488,8 @@ class WorkflowCycleManage:
|
||||
error=event.error,
|
||||
inputs=event.inputs,
|
||||
process_data=event.process_data,
|
||||
outputs=event.outputs
|
||||
outputs=event.outputs,
|
||||
execution_metadata=execution_metadata
|
||||
)
|
||||
|
||||
db.session.close()
|
||||
|
||||
16
api/core/app/task_pipeline/workflow_cycle_state_manager.py
Normal file
16
api/core/app/task_pipeline/workflow_cycle_state_manager.py
Normal file
@@ -0,0 +1,16 @@
|
||||
from typing import Any, Union
|
||||
|
||||
from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity
|
||||
from core.app.entities.task_entities import AdvancedChatTaskState, WorkflowTaskState
|
||||
from core.workflow.entities.node_entities import SystemVariable
|
||||
from models.account import Account
|
||||
from models.model import EndUser
|
||||
from models.workflow import Workflow
|
||||
|
||||
|
||||
class WorkflowCycleStateManager:
|
||||
_application_generate_entity: Union[AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity]
|
||||
_workflow: Workflow
|
||||
_user: Union[Account, EndUser]
|
||||
_task_state: Union[AdvancedChatTaskState, WorkflowTaskState]
|
||||
_workflow_system_variables: dict[SystemVariable, Any]
|
||||
281
api/core/app/task_pipeline/workflow_iteration_cycle_manage.py
Normal file
281
api/core/app/task_pipeline/workflow_iteration_cycle_manage.py
Normal file
@@ -0,0 +1,281 @@
|
||||
import json
|
||||
import time
|
||||
from collections.abc import Generator
|
||||
from typing import Optional, Union
|
||||
|
||||
from core.app.entities.queue_entities import (
|
||||
QueueIterationCompletedEvent,
|
||||
QueueIterationNextEvent,
|
||||
QueueIterationStartEvent,
|
||||
)
|
||||
from core.app.entities.task_entities import (
|
||||
IterationNodeCompletedStreamResponse,
|
||||
IterationNodeNextStreamResponse,
|
||||
IterationNodeStartStreamResponse,
|
||||
NodeExecutionInfo,
|
||||
WorkflowIterationState,
|
||||
)
|
||||
from core.app.task_pipeline.workflow_cycle_state_manager import WorkflowCycleStateManager
|
||||
from core.workflow.entities.node_entities import NodeType
|
||||
from extensions.ext_database import db
|
||||
from models.workflow import (
|
||||
WorkflowNodeExecution,
|
||||
WorkflowNodeExecutionStatus,
|
||||
WorkflowNodeExecutionTriggeredFrom,
|
||||
WorkflowRun,
|
||||
)
|
||||
|
||||
|
||||
class WorkflowIterationCycleManage(WorkflowCycleStateManager):
|
||||
_iteration_state: WorkflowIterationState = None
|
||||
|
||||
def _init_iteration_state(self) -> WorkflowIterationState:
|
||||
if not self._iteration_state:
|
||||
self._iteration_state = WorkflowIterationState(
|
||||
current_iterations={}
|
||||
)
|
||||
|
||||
def _handle_iteration_to_stream_response(self, task_id: str, event: QueueIterationStartEvent | QueueIterationNextEvent | QueueIterationCompletedEvent) \
|
||||
-> Union[IterationNodeStartStreamResponse, IterationNodeNextStreamResponse, IterationNodeCompletedStreamResponse]:
|
||||
"""
|
||||
Handle iteration to stream response
|
||||
:param task_id: task id
|
||||
:param event: iteration event
|
||||
:return:
|
||||
"""
|
||||
if isinstance(event, QueueIterationStartEvent):
|
||||
return IterationNodeStartStreamResponse(
|
||||
task_id=task_id,
|
||||
workflow_run_id=self._task_state.workflow_run_id,
|
||||
data=IterationNodeStartStreamResponse.Data(
|
||||
id=event.node_id,
|
||||
node_id=event.node_id,
|
||||
node_type=event.node_type.value,
|
||||
title=event.node_data.title,
|
||||
created_at=int(time.time()),
|
||||
extras={},
|
||||
inputs=event.inputs,
|
||||
metadata=event.metadata
|
||||
)
|
||||
)
|
||||
elif isinstance(event, QueueIterationNextEvent):
|
||||
current_iteration = self._iteration_state.current_iterations[event.node_id]
|
||||
|
||||
return IterationNodeNextStreamResponse(
|
||||
task_id=task_id,
|
||||
workflow_run_id=self._task_state.workflow_run_id,
|
||||
data=IterationNodeNextStreamResponse.Data(
|
||||
id=event.node_id,
|
||||
node_id=event.node_id,
|
||||
node_type=event.node_type.value,
|
||||
title=current_iteration.node_data.title,
|
||||
index=event.index,
|
||||
pre_iteration_output=event.output,
|
||||
created_at=int(time.time()),
|
||||
extras={}
|
||||
)
|
||||
)
|
||||
elif isinstance(event, QueueIterationCompletedEvent):
|
||||
current_iteration = self._iteration_state.current_iterations[event.node_id]
|
||||
|
||||
return IterationNodeCompletedStreamResponse(
|
||||
task_id=task_id,
|
||||
workflow_run_id=self._task_state.workflow_run_id,
|
||||
data=IterationNodeCompletedStreamResponse.Data(
|
||||
id=event.node_id,
|
||||
node_id=event.node_id,
|
||||
node_type=event.node_type.value,
|
||||
title=current_iteration.node_data.title,
|
||||
outputs=event.outputs,
|
||||
created_at=int(time.time()),
|
||||
extras={},
|
||||
inputs=current_iteration.inputs,
|
||||
status=WorkflowNodeExecutionStatus.SUCCEEDED,
|
||||
error=None,
|
||||
elapsed_time=time.perf_counter() - current_iteration.started_at,
|
||||
total_tokens=current_iteration.total_tokens,
|
||||
finished_at=int(time.time()),
|
||||
steps=current_iteration.current_index
|
||||
)
|
||||
)
|
||||
|
||||
def _init_iteration_execution_from_workflow_run(self,
|
||||
workflow_run: WorkflowRun,
|
||||
node_id: str,
|
||||
node_type: NodeType,
|
||||
node_title: str,
|
||||
node_run_index: int = 1,
|
||||
inputs: Optional[dict] = None,
|
||||
predecessor_node_id: Optional[str] = None
|
||||
) -> WorkflowNodeExecution:
|
||||
workflow_node_execution = WorkflowNodeExecution(
|
||||
tenant_id=workflow_run.tenant_id,
|
||||
app_id=workflow_run.app_id,
|
||||
workflow_id=workflow_run.workflow_id,
|
||||
triggered_from=WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN.value,
|
||||
workflow_run_id=workflow_run.id,
|
||||
predecessor_node_id=predecessor_node_id,
|
||||
index=node_run_index,
|
||||
node_id=node_id,
|
||||
node_type=node_type.value,
|
||||
inputs=json.dumps(inputs) if inputs else None,
|
||||
title=node_title,
|
||||
status=WorkflowNodeExecutionStatus.RUNNING.value,
|
||||
created_by_role=workflow_run.created_by_role,
|
||||
created_by=workflow_run.created_by,
|
||||
execution_metadata=json.dumps({
|
||||
'started_run_index': node_run_index + 1,
|
||||
'current_index': 0,
|
||||
'steps_boundary': [],
|
||||
})
|
||||
)
|
||||
|
||||
db.session.add(workflow_node_execution)
|
||||
db.session.commit()
|
||||
db.session.refresh(workflow_node_execution)
|
||||
db.session.close()
|
||||
|
||||
return workflow_node_execution
|
||||
|
||||
def _handle_iteration_operation(self, event: QueueIterationStartEvent | QueueIterationNextEvent | QueueIterationCompletedEvent) -> WorkflowNodeExecution:
|
||||
if isinstance(event, QueueIterationStartEvent):
|
||||
return self._handle_iteration_started(event)
|
||||
elif isinstance(event, QueueIterationNextEvent):
|
||||
return self._handle_iteration_next(event)
|
||||
elif isinstance(event, QueueIterationCompletedEvent):
|
||||
return self._handle_iteration_completed(event)
|
||||
|
||||
def _handle_iteration_started(self, event: QueueIterationStartEvent) -> WorkflowNodeExecution:
|
||||
self._init_iteration_state()
|
||||
|
||||
workflow_run = db.session.query(WorkflowRun).filter(WorkflowRun.id == self._task_state.workflow_run_id).first()
|
||||
workflow_node_execution = self._init_iteration_execution_from_workflow_run(
|
||||
workflow_run=workflow_run,
|
||||
node_id=event.node_id,
|
||||
node_type=NodeType.ITERATION,
|
||||
node_title=event.node_data.title,
|
||||
node_run_index=event.node_run_index,
|
||||
inputs=event.inputs,
|
||||
predecessor_node_id=event.predecessor_node_id
|
||||
)
|
||||
|
||||
latest_node_execution_info = NodeExecutionInfo(
|
||||
workflow_node_execution_id=workflow_node_execution.id,
|
||||
node_type=NodeType.ITERATION,
|
||||
start_at=time.perf_counter()
|
||||
)
|
||||
|
||||
self._task_state.ran_node_execution_infos[event.node_id] = latest_node_execution_info
|
||||
self._task_state.latest_node_execution_info = latest_node_execution_info
|
||||
|
||||
self._iteration_state.current_iterations[event.node_id] = WorkflowIterationState.Data(
|
||||
parent_iteration_id=None,
|
||||
iteration_id=event.node_id,
|
||||
current_index=0,
|
||||
iteration_steps_boundary=[],
|
||||
node_execution_id=workflow_node_execution.id,
|
||||
started_at=time.perf_counter(),
|
||||
inputs=event.inputs,
|
||||
total_tokens=0,
|
||||
node_data=event.node_data
|
||||
)
|
||||
|
||||
db.session.close()
|
||||
|
||||
return workflow_node_execution
|
||||
|
||||
def _handle_iteration_next(self, event: QueueIterationNextEvent) -> WorkflowNodeExecution:
|
||||
if event.node_id not in self._iteration_state.current_iterations:
|
||||
return
|
||||
current_iteration = self._iteration_state.current_iterations[event.node_id]
|
||||
current_iteration.current_index = event.index
|
||||
current_iteration.iteration_steps_boundary.append(event.node_run_index)
|
||||
workflow_node_execution: WorkflowNodeExecution = db.session.query(WorkflowNodeExecution).filter(
|
||||
WorkflowNodeExecution.id == current_iteration.node_execution_id
|
||||
).first()
|
||||
|
||||
original_node_execution_metadata = workflow_node_execution.execution_metadata_dict
|
||||
if original_node_execution_metadata:
|
||||
original_node_execution_metadata['current_index'] = event.index
|
||||
original_node_execution_metadata['steps_boundary'] = current_iteration.iteration_steps_boundary
|
||||
original_node_execution_metadata['total_tokens'] = current_iteration.total_tokens
|
||||
workflow_node_execution.execution_metadata = json.dumps(original_node_execution_metadata)
|
||||
|
||||
db.session.commit()
|
||||
|
||||
db.session.close()
|
||||
|
||||
def _handle_iteration_completed(self, event: QueueIterationCompletedEvent) -> WorkflowNodeExecution:
|
||||
if event.node_id not in self._iteration_state.current_iterations:
|
||||
return
|
||||
|
||||
current_iteration = self._iteration_state.current_iterations[event.node_id]
|
||||
workflow_node_execution: WorkflowNodeExecution = db.session.query(WorkflowNodeExecution).filter(
|
||||
WorkflowNodeExecution.id == current_iteration.node_execution_id
|
||||
).first()
|
||||
|
||||
workflow_node_execution.status = WorkflowNodeExecutionStatus.SUCCEEDED.value
|
||||
workflow_node_execution.outputs = json.dumps(event.outputs) if event.outputs else None
|
||||
workflow_node_execution.elapsed_time = time.perf_counter() - current_iteration.started_at
|
||||
|
||||
original_node_execution_metadata = workflow_node_execution.execution_metadata_dict
|
||||
if original_node_execution_metadata:
|
||||
original_node_execution_metadata['steps_boundary'] = current_iteration.iteration_steps_boundary
|
||||
original_node_execution_metadata['total_tokens'] = current_iteration.total_tokens
|
||||
workflow_node_execution.execution_metadata = json.dumps(original_node_execution_metadata)
|
||||
|
||||
db.session.commit()
|
||||
|
||||
# remove current iteration
|
||||
self._iteration_state.current_iterations.pop(event.node_id, None)
|
||||
|
||||
# set latest node execution info
|
||||
latest_node_execution_info = NodeExecutionInfo(
|
||||
workflow_node_execution_id=workflow_node_execution.id,
|
||||
node_type=NodeType.ITERATION,
|
||||
start_at=time.perf_counter()
|
||||
)
|
||||
|
||||
self._task_state.latest_node_execution_info = latest_node_execution_info
|
||||
|
||||
db.session.close()
|
||||
|
||||
def _handle_iteration_exception(self, task_id: str, error: str) -> Generator[IterationNodeCompletedStreamResponse, None, None]:
|
||||
"""
|
||||
Handle iteration exception
|
||||
"""
|
||||
if not self._iteration_state or not self._iteration_state.current_iterations:
|
||||
return
|
||||
|
||||
for node_id, current_iteration in self._iteration_state.current_iterations.items():
|
||||
workflow_node_execution: WorkflowNodeExecution = db.session.query(WorkflowNodeExecution).filter(
|
||||
WorkflowNodeExecution.id == current_iteration.node_execution_id
|
||||
).first()
|
||||
|
||||
workflow_node_execution.status = WorkflowNodeExecutionStatus.FAILED.value
|
||||
workflow_node_execution.error = error
|
||||
workflow_node_execution.elapsed_time = time.perf_counter() - current_iteration.started_at
|
||||
|
||||
db.session.commit()
|
||||
db.session.close()
|
||||
|
||||
yield IterationNodeCompletedStreamResponse(
|
||||
task_id=task_id,
|
||||
workflow_run_id=self._task_state.workflow_run_id,
|
||||
data=IterationNodeCompletedStreamResponse.Data(
|
||||
id=node_id,
|
||||
node_id=node_id,
|
||||
node_type=NodeType.ITERATION.value,
|
||||
title=current_iteration.node_data.title,
|
||||
outputs={},
|
||||
created_at=int(time.time()),
|
||||
extras={},
|
||||
inputs=current_iteration.inputs,
|
||||
status=WorkflowNodeExecutionStatus.FAILED,
|
||||
error=error,
|
||||
elapsed_time=time.perf_counter() - current_iteration.started_at,
|
||||
total_tokens=current_iteration.total_tokens,
|
||||
finished_at=int(time.time()),
|
||||
steps=current_iteration.current_index
|
||||
)
|
||||
)
|
||||
@@ -121,13 +121,13 @@ class DatasetDocumentStore:
|
||||
enabled=False,
|
||||
created_by=self._user_id,
|
||||
)
|
||||
if 'answer' in doc.metadata and doc.metadata['answer']:
|
||||
if doc.metadata.get('answer'):
|
||||
segment_document.answer = doc.metadata.pop('answer', '')
|
||||
|
||||
db.session.add(segment_document)
|
||||
else:
|
||||
segment_document.content = doc.page_content
|
||||
if 'answer' in doc.metadata and doc.metadata['answer']:
|
||||
if doc.metadata.get('answer'):
|
||||
segment_document.answer = doc.metadata.pop('answer', '')
|
||||
segment_document.index_node_hash = doc.metadata['doc_hash']
|
||||
segment_document.word_count = len(doc.page_content)
|
||||
|
||||
@@ -42,6 +42,8 @@ class MessageFileParser:
|
||||
raise ValueError('Invalid file url')
|
||||
if file.get('transfer_method') == FileTransferMethod.LOCAL_FILE.value and not file.get('upload_file_id'):
|
||||
raise ValueError('Missing file upload_file_id')
|
||||
if file.get('transform_method') == FileTransferMethod.TOOL_FILE.value and not file.get('tool_file_id'):
|
||||
raise ValueError('Missing file tool_file_id')
|
||||
|
||||
# transform files to file objs
|
||||
type_file_objs = self._to_file_objs(files, file_extra_config)
|
||||
@@ -149,12 +151,21 @@ class MessageFileParser:
|
||||
"""
|
||||
if isinstance(file, dict):
|
||||
transfer_method = FileTransferMethod.value_of(file.get('transfer_method'))
|
||||
if transfer_method != FileTransferMethod.TOOL_FILE:
|
||||
return FileVar(
|
||||
tenant_id=self.tenant_id,
|
||||
type=FileType.value_of(file.get('type')),
|
||||
transfer_method=transfer_method,
|
||||
url=file.get('url') if transfer_method == FileTransferMethod.REMOTE_URL else None,
|
||||
related_id=file.get('upload_file_id') if transfer_method == FileTransferMethod.LOCAL_FILE else None,
|
||||
extra_config=file_extra_config
|
||||
)
|
||||
return FileVar(
|
||||
tenant_id=self.tenant_id,
|
||||
type=FileType.value_of(file.get('type')),
|
||||
transfer_method=transfer_method,
|
||||
url=file.get('url') if transfer_method == FileTransferMethod.REMOTE_URL else None,
|
||||
related_id=file.get('upload_file_id') if transfer_method == FileTransferMethod.LOCAL_FILE else None,
|
||||
url=None,
|
||||
related_id=file.get('tool_file_id'),
|
||||
extra_config=file_extra_config
|
||||
)
|
||||
else:
|
||||
|
||||
@@ -77,4 +77,4 @@ class UploadFileParser:
|
||||
return False
|
||||
|
||||
current_time = int(time.time())
|
||||
return current_time - int(timestamp) <= 300 # expired after 5 minutes
|
||||
return current_time - int(timestamp) <= current_app.config.get('FILES_ACCESS_TIMEOUT')
|
||||
|
||||
@@ -1,14 +1,21 @@
|
||||
import logging
|
||||
import time
|
||||
from enum import Enum
|
||||
from threading import Lock
|
||||
from typing import Literal, Optional
|
||||
|
||||
from httpx import post
|
||||
from httpx import get, post
|
||||
from pydantic import BaseModel
|
||||
from yarl import URL
|
||||
|
||||
from config import get_env
|
||||
from core.helper.code_executor.javascript_transformer import NodeJsTemplateTransformer
|
||||
from core.helper.code_executor.jinja2_transformer import Jinja2TemplateTransformer
|
||||
from core.helper.code_executor.python_transformer import PythonTemplateTransformer
|
||||
from core.helper.code_executor.entities import CodeDependency
|
||||
from core.helper.code_executor.javascript.javascript_transformer import NodeJsTemplateTransformer
|
||||
from core.helper.code_executor.jinja2.jinja2_transformer import Jinja2TemplateTransformer
|
||||
from core.helper.code_executor.python3.python3_transformer import Python3TemplateTransformer
|
||||
from core.helper.code_executor.template_transformer import TemplateTransformer
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Code Executor
|
||||
CODE_EXECUTION_ENDPOINT = get_env('CODE_EXECUTION_ENDPOINT')
|
||||
@@ -36,8 +43,11 @@ class CodeLanguage(str, Enum):
|
||||
|
||||
|
||||
class CodeExecutor:
|
||||
code_template_transformers = {
|
||||
CodeLanguage.PYTHON3: PythonTemplateTransformer,
|
||||
dependencies_cache = {}
|
||||
dependencies_cache_lock = Lock()
|
||||
|
||||
code_template_transformers: dict[CodeLanguage, type[TemplateTransformer]] = {
|
||||
CodeLanguage.PYTHON3: Python3TemplateTransformer,
|
||||
CodeLanguage.JINJA2: Jinja2TemplateTransformer,
|
||||
CodeLanguage.JAVASCRIPT: NodeJsTemplateTransformer,
|
||||
}
|
||||
@@ -48,8 +58,16 @@ class CodeExecutor:
|
||||
CodeLanguage.PYTHON3: CodeLanguage.PYTHON3,
|
||||
}
|
||||
|
||||
supported_dependencies_languages: set[CodeLanguage] = {
|
||||
CodeLanguage.PYTHON3
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def execute_code(cls, language: Literal['python3', 'javascript', 'jinja2'], preload: str, code: str) -> str:
|
||||
def execute_code(cls,
|
||||
language: Literal['python3', 'javascript', 'jinja2'],
|
||||
preload: str,
|
||||
code: str,
|
||||
dependencies: Optional[list[CodeDependency]] = None) -> str:
|
||||
"""
|
||||
Execute code
|
||||
:param language: code language
|
||||
@@ -65,9 +83,13 @@ class CodeExecutor:
|
||||
data = {
|
||||
'language': cls.code_language_to_running_language.get(language),
|
||||
'code': code,
|
||||
'preload': preload
|
||||
'preload': preload,
|
||||
'enable_network': True
|
||||
}
|
||||
|
||||
if dependencies:
|
||||
data['dependencies'] = [dependency.dict() for dependency in dependencies]
|
||||
|
||||
try:
|
||||
response = post(str(url), json=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT)
|
||||
if response.status_code == 503:
|
||||
@@ -77,7 +99,9 @@ class CodeExecutor:
|
||||
except CodeExecutionException as e:
|
||||
raise e
|
||||
except Exception as e:
|
||||
raise CodeExecutionException('Failed to execute code, this is likely a network issue, please check if the sandbox service is running')
|
||||
raise CodeExecutionException('Failed to execute code, which is likely a network issue,'
|
||||
' please check if the sandbox service is running.'
|
||||
f' ( Error: {str(e)} )')
|
||||
|
||||
try:
|
||||
response = response.json()
|
||||
@@ -95,7 +119,7 @@ class CodeExecutor:
|
||||
return response.data.stdout
|
||||
|
||||
@classmethod
|
||||
def execute_workflow_code_template(cls, language: Literal['python3', 'javascript', 'jinja2'], code: str, inputs: dict) -> dict:
|
||||
def execute_workflow_code_template(cls, language: Literal['python3', 'javascript', 'jinja2'], code: str, inputs: dict, dependencies: Optional[list[CodeDependency]] = None) -> dict:
|
||||
"""
|
||||
Execute code
|
||||
:param language: code language
|
||||
@@ -107,11 +131,67 @@ class CodeExecutor:
|
||||
if not template_transformer:
|
||||
raise CodeExecutionException(f'Unsupported language {language}')
|
||||
|
||||
runner, preload = template_transformer.transform_caller(code, inputs)
|
||||
runner, preload, dependencies = template_transformer.transform_caller(code, inputs, dependencies)
|
||||
|
||||
try:
|
||||
response = cls.execute_code(language, preload, runner)
|
||||
response = cls.execute_code(language, preload, runner, dependencies)
|
||||
except CodeExecutionException as e:
|
||||
raise e
|
||||
|
||||
return template_transformer.transform_response(response)
|
||||
return template_transformer.transform_response(response)
|
||||
|
||||
@classmethod
|
||||
def list_dependencies(cls, language: str) -> list[CodeDependency]:
|
||||
if language not in cls.supported_dependencies_languages:
|
||||
return []
|
||||
|
||||
with cls.dependencies_cache_lock:
|
||||
if language in cls.dependencies_cache:
|
||||
# check expiration
|
||||
dependencies = cls.dependencies_cache[language]
|
||||
if dependencies['expiration'] > time.time():
|
||||
return dependencies['data']
|
||||
# remove expired cache
|
||||
del cls.dependencies_cache[language]
|
||||
|
||||
dependencies = cls._get_dependencies(language)
|
||||
with cls.dependencies_cache_lock:
|
||||
cls.dependencies_cache[language] = {
|
||||
'data': dependencies,
|
||||
'expiration': time.time() + 60
|
||||
}
|
||||
|
||||
return dependencies
|
||||
|
||||
@classmethod
|
||||
def _get_dependencies(cls, language: Literal['python3']) -> list[CodeDependency]:
|
||||
"""
|
||||
List dependencies
|
||||
"""
|
||||
url = URL(CODE_EXECUTION_ENDPOINT) / 'v1' / 'sandbox' / 'dependencies'
|
||||
|
||||
headers = {
|
||||
'X-Api-Key': CODE_EXECUTION_API_KEY
|
||||
}
|
||||
|
||||
running_language = cls.code_language_to_running_language.get(language)
|
||||
if isinstance(running_language, Enum):
|
||||
running_language = running_language.value
|
||||
|
||||
data = {
|
||||
'language': running_language,
|
||||
}
|
||||
|
||||
try:
|
||||
response = get(str(url), params=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT)
|
||||
if response.status_code != 200:
|
||||
raise Exception(f'Failed to list dependencies, got status code {response.status_code}, please check if the sandbox service is running')
|
||||
response = response.json()
|
||||
dependencies = response.get('data', {}).get('dependencies', [])
|
||||
return [
|
||||
CodeDependency(**dependency) for dependency in dependencies
|
||||
if dependency.get('name') not in Python3TemplateTransformer.get_standard_packages()
|
||||
]
|
||||
except Exception as e:
|
||||
logger.exception(f'Failed to list dependencies: {e}')
|
||||
return []
|
||||
55
api/core/helper/code_executor/code_node_provider.py
Normal file
55
api/core/helper/code_executor/code_node_provider.py
Normal file
@@ -0,0 +1,55 @@
|
||||
from abc import abstractmethod
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from core.helper.code_executor.code_executor import CodeExecutor
|
||||
|
||||
|
||||
class CodeNodeProvider(BaseModel):
|
||||
@staticmethod
|
||||
@abstractmethod
|
||||
def get_language() -> str:
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
def is_accept_language(cls, language: str) -> bool:
|
||||
return language == cls.get_language()
|
||||
|
||||
@classmethod
|
||||
@abstractmethod
|
||||
def get_default_code(cls) -> str:
|
||||
"""
|
||||
get default code in specific programming language for the code node
|
||||
"""
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
def get_default_available_packages(cls) -> list[dict]:
|
||||
return [p.dict() for p in CodeExecutor.list_dependencies(cls.get_language())]
|
||||
|
||||
@classmethod
|
||||
def get_default_config(cls) -> dict:
|
||||
return {
|
||||
"type": "code",
|
||||
"config": {
|
||||
"variables": [
|
||||
{
|
||||
"variable": "arg1",
|
||||
"value_selector": []
|
||||
},
|
||||
{
|
||||
"variable": "arg2",
|
||||
"value_selector": []
|
||||
}
|
||||
],
|
||||
"code_language": cls.get_language(),
|
||||
"code": cls.get_default_code(),
|
||||
"outputs": {
|
||||
"result": {
|
||||
"type": "string",
|
||||
"children": None
|
||||
}
|
||||
}
|
||||
},
|
||||
"available_dependencies": cls.get_default_available_packages(),
|
||||
}
|
||||
6
api/core/helper/code_executor/entities.py
Normal file
6
api/core/helper/code_executor/entities.py
Normal file
@@ -0,0 +1,6 @@
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class CodeDependency(BaseModel):
|
||||
name: str
|
||||
version: str
|
||||
@@ -0,0 +1,21 @@
|
||||
from textwrap import dedent
|
||||
|
||||
from core.helper.code_executor.code_executor import CodeLanguage
|
||||
from core.helper.code_executor.code_node_provider import CodeNodeProvider
|
||||
|
||||
|
||||
class JavascriptCodeProvider(CodeNodeProvider):
|
||||
@staticmethod
|
||||
def get_language() -> str:
|
||||
return CodeLanguage.JAVASCRIPT
|
||||
|
||||
@classmethod
|
||||
def get_default_code(cls) -> str:
|
||||
return dedent(
|
||||
"""
|
||||
function main({arg1, arg2}) {
|
||||
return {
|
||||
result: arg1 + arg2
|
||||
}
|
||||
}
|
||||
""")
|
||||
@@ -0,0 +1,25 @@
|
||||
from textwrap import dedent
|
||||
|
||||
from core.helper.code_executor.template_transformer import TemplateTransformer
|
||||
|
||||
|
||||
class NodeJsTemplateTransformer(TemplateTransformer):
|
||||
@classmethod
|
||||
def get_runner_script(cls) -> str:
|
||||
runner_script = dedent(
|
||||
f"""
|
||||
// declare main function
|
||||
{cls._code_placeholder}
|
||||
|
||||
// decode and prepare input object
|
||||
var inputs_obj = JSON.parse(Buffer.from('{cls._inputs_placeholder}', 'base64').toString('utf-8'))
|
||||
|
||||
// execute main function
|
||||
var output_obj = main(inputs_obj)
|
||||
|
||||
// convert output to json and print
|
||||
var output_json = JSON.stringify(output_obj)
|
||||
var result = `<<RESULT>>${{output_json}}<<RESULT>>`
|
||||
console.log(result)
|
||||
""")
|
||||
return runner_script
|
||||
@@ -1,54 +0,0 @@
|
||||
import json
|
||||
import re
|
||||
|
||||
from core.helper.code_executor.template_transformer import TemplateTransformer
|
||||
|
||||
NODEJS_RUNNER = """// declare main function here
|
||||
{{code}}
|
||||
|
||||
// execute main function, and return the result
|
||||
// inputs is a dict, unstructured inputs
|
||||
output = main({{inputs}})
|
||||
|
||||
// convert output to json and print
|
||||
output = JSON.stringify(output)
|
||||
|
||||
result = `<<RESULT>>${output}<<RESULT>>`
|
||||
|
||||
console.log(result)
|
||||
"""
|
||||
|
||||
NODEJS_PRELOAD = """"""
|
||||
|
||||
class NodeJsTemplateTransformer(TemplateTransformer):
|
||||
@classmethod
|
||||
def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
|
||||
"""
|
||||
Transform code to python runner
|
||||
:param code: code
|
||||
:param inputs: inputs
|
||||
:return:
|
||||
"""
|
||||
|
||||
# transform inputs to json string
|
||||
inputs_str = json.dumps(inputs, indent=4, ensure_ascii=False)
|
||||
|
||||
# replace code and inputs
|
||||
runner = NODEJS_RUNNER.replace('{{code}}', code)
|
||||
runner = runner.replace('{{inputs}}', inputs_str)
|
||||
|
||||
return runner, NODEJS_PRELOAD
|
||||
|
||||
@classmethod
|
||||
def transform_response(cls, response: str) -> dict:
|
||||
"""
|
||||
Transform response to dict
|
||||
:param response: response
|
||||
:return:
|
||||
"""
|
||||
# extract result
|
||||
result = re.search(r'<<RESULT>>(.*)<<RESULT>>', response, re.DOTALL)
|
||||
if not result:
|
||||
raise ValueError('Failed to parse result')
|
||||
result = result.group(1)
|
||||
return json.loads(result)
|
||||
0
api/core/helper/code_executor/jinja2/__init__.py
Normal file
0
api/core/helper/code_executor/jinja2/__init__.py
Normal file
17
api/core/helper/code_executor/jinja2/jinja2_formatter.py
Normal file
17
api/core/helper/code_executor/jinja2/jinja2_formatter.py
Normal file
@@ -0,0 +1,17 @@
|
||||
from core.helper.code_executor.code_executor import CodeExecutor, CodeLanguage
|
||||
|
||||
|
||||
class Jinja2Formatter:
|
||||
@classmethod
|
||||
def format(cls, template: str, inputs: str) -> str:
|
||||
"""
|
||||
Format template
|
||||
:param template: template
|
||||
:param inputs: inputs
|
||||
:return:
|
||||
"""
|
||||
result = CodeExecutor.execute_workflow_code_template(
|
||||
language=CodeLanguage.JINJA2, code=template, inputs=inputs
|
||||
)
|
||||
|
||||
return result['result']
|
||||
64
api/core/helper/code_executor/jinja2/jinja2_transformer.py
Normal file
64
api/core/helper/code_executor/jinja2/jinja2_transformer.py
Normal file
@@ -0,0 +1,64 @@
|
||||
from textwrap import dedent
|
||||
|
||||
from core.helper.code_executor.python3.python3_transformer import Python3TemplateTransformer
|
||||
from core.helper.code_executor.template_transformer import TemplateTransformer
|
||||
|
||||
|
||||
class Jinja2TemplateTransformer(TemplateTransformer):
|
||||
@classmethod
|
||||
def get_standard_packages(cls) -> set[str]:
|
||||
return {'jinja2'} | Python3TemplateTransformer.get_standard_packages()
|
||||
|
||||
@classmethod
|
||||
def transform_response(cls, response: str) -> dict:
|
||||
"""
|
||||
Transform response to dict
|
||||
:param response: response
|
||||
:return:
|
||||
"""
|
||||
return {
|
||||
'result': cls.extract_result_str_from_response(response)
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def get_runner_script(cls) -> str:
|
||||
runner_script = dedent(f"""
|
||||
# declare main function
|
||||
def main(**inputs):
|
||||
import jinja2
|
||||
template = jinja2.Template('''{cls._code_placeholder}''')
|
||||
return template.render(**inputs)
|
||||
|
||||
import json
|
||||
from base64 import b64decode
|
||||
|
||||
# decode and prepare input dict
|
||||
inputs_obj = json.loads(b64decode('{cls._inputs_placeholder}').decode('utf-8'))
|
||||
|
||||
# execute main function
|
||||
output = main(**inputs_obj)
|
||||
|
||||
# convert output and print
|
||||
result = f'''<<RESULT>>{{output}}<<RESULT>>'''
|
||||
print(result)
|
||||
|
||||
""")
|
||||
return runner_script
|
||||
|
||||
@classmethod
|
||||
def get_preload_script(cls) -> str:
|
||||
preload_script = dedent("""
|
||||
import jinja2
|
||||
from base64 import b64decode
|
||||
|
||||
def _jinja2_preload_():
|
||||
# prepare jinja2 environment, load template and render before to avoid sandbox issue
|
||||
template = jinja2.Template('{{s}}')
|
||||
template.render(s='a')
|
||||
|
||||
if __name__ == '__main__':
|
||||
_jinja2_preload_()
|
||||
|
||||
""")
|
||||
|
||||
return preload_script
|
||||
@@ -1,92 +0,0 @@
|
||||
import json
|
||||
import re
|
||||
from base64 import b64encode
|
||||
|
||||
from core.helper.code_executor.template_transformer import TemplateTransformer
|
||||
|
||||
PYTHON_RUNNER = """
|
||||
import jinja2
|
||||
from json import loads
|
||||
from base64 import b64decode
|
||||
|
||||
template = jinja2.Template('''{{code}}''')
|
||||
|
||||
def main(**inputs):
|
||||
return template.render(**inputs)
|
||||
|
||||
# execute main function, and return the result
|
||||
inputs = b64decode('{{inputs}}').decode('utf-8')
|
||||
output = main(**loads(inputs))
|
||||
|
||||
result = f'''<<RESULT>>{output}<<RESULT>>'''
|
||||
|
||||
print(result)
|
||||
|
||||
"""
|
||||
|
||||
JINJA2_PRELOAD_TEMPLATE = """{% set fruits = ['Apple'] %}
|
||||
{{ 'a' }}
|
||||
{% for fruit in fruits %}
|
||||
<li>{{ fruit }}</li>
|
||||
{% endfor %}
|
||||
{% if fruits|length > 1 %}
|
||||
1
|
||||
{% endif %}
|
||||
{% for i in range(5) %}
|
||||
{% if i == 3 %}{{ i }}{% else %}{% endif %}
|
||||
{% endfor %}
|
||||
{% for i in range(3) %}
|
||||
{{ i + 1 }}
|
||||
{% endfor %}
|
||||
{% macro say_hello() %}a{{ 'b' }}{% endmacro %}
|
||||
{{ s }}{{ say_hello() }}"""
|
||||
|
||||
JINJA2_PRELOAD = f"""
|
||||
import jinja2
|
||||
from base64 import b64decode
|
||||
|
||||
def _jinja2_preload_():
|
||||
# prepare jinja2 environment, load template and render before to avoid sandbox issue
|
||||
template = jinja2.Template('''{JINJA2_PRELOAD_TEMPLATE}''')
|
||||
template.render(s='a')
|
||||
|
||||
if __name__ == '__main__':
|
||||
_jinja2_preload_()
|
||||
|
||||
"""
|
||||
|
||||
|
||||
class Jinja2TemplateTransformer(TemplateTransformer):
|
||||
@classmethod
|
||||
def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
|
||||
"""
|
||||
Transform code to python runner
|
||||
:param code: code
|
||||
:param inputs: inputs
|
||||
:return:
|
||||
"""
|
||||
|
||||
inputs_str = b64encode(json.dumps(inputs, ensure_ascii=False).encode()).decode('utf-8')
|
||||
|
||||
# transform jinja2 template to python code
|
||||
runner = PYTHON_RUNNER.replace('{{code}}', code)
|
||||
runner = runner.replace('{{inputs}}', inputs_str)
|
||||
|
||||
return runner, JINJA2_PRELOAD
|
||||
|
||||
@classmethod
|
||||
def transform_response(cls, response: str) -> dict:
|
||||
"""
|
||||
Transform response to dict
|
||||
:param response: response
|
||||
:return:
|
||||
"""
|
||||
# extract result
|
||||
result = re.search(r'<<RESULT>>(.*)<<RESULT>>', response, re.DOTALL)
|
||||
if not result:
|
||||
raise ValueError('Failed to parse result')
|
||||
result = result.group(1)
|
||||
|
||||
return {
|
||||
'result': result
|
||||
}
|
||||
0
api/core/helper/code_executor/python3/__init__.py
Normal file
0
api/core/helper/code_executor/python3/__init__.py
Normal file
@@ -0,0 +1,20 @@
|
||||
from textwrap import dedent
|
||||
|
||||
from core.helper.code_executor.code_executor import CodeLanguage
|
||||
from core.helper.code_executor.code_node_provider import CodeNodeProvider
|
||||
|
||||
|
||||
class Python3CodeProvider(CodeNodeProvider):
|
||||
@staticmethod
|
||||
def get_language() -> str:
|
||||
return CodeLanguage.PYTHON3
|
||||
|
||||
@classmethod
|
||||
def get_default_code(cls) -> str:
|
||||
return dedent(
|
||||
"""
|
||||
def main(arg1: int, arg2: int) -> dict:
|
||||
return {
|
||||
"result": arg1 + arg2,
|
||||
}
|
||||
""")
|
||||
51
api/core/helper/code_executor/python3/python3_transformer.py
Normal file
51
api/core/helper/code_executor/python3/python3_transformer.py
Normal file
@@ -0,0 +1,51 @@
|
||||
from textwrap import dedent
|
||||
|
||||
from core.helper.code_executor.template_transformer import TemplateTransformer
|
||||
|
||||
|
||||
class Python3TemplateTransformer(TemplateTransformer):
|
||||
@classmethod
|
||||
def get_standard_packages(cls) -> set[str]:
|
||||
return {
|
||||
'base64',
|
||||
'binascii',
|
||||
'collections',
|
||||
'datetime',
|
||||
'functools',
|
||||
'hashlib',
|
||||
'hmac',
|
||||
'itertools',
|
||||
'json',
|
||||
'math',
|
||||
'operator',
|
||||
'os',
|
||||
'random',
|
||||
're',
|
||||
'string',
|
||||
'sys',
|
||||
'time',
|
||||
'traceback',
|
||||
'uuid',
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def get_runner_script(cls) -> str:
|
||||
runner_script = dedent(f"""
|
||||
# declare main function
|
||||
{cls._code_placeholder}
|
||||
|
||||
import json
|
||||
from base64 import b64decode
|
||||
|
||||
# decode and prepare input dict
|
||||
inputs_obj = json.loads(b64decode('{cls._inputs_placeholder}').decode('utf-8'))
|
||||
|
||||
# execute main function
|
||||
output_obj = main(**inputs_obj)
|
||||
|
||||
# convert output to json and print
|
||||
output_json = json.dumps(output_obj, indent=4)
|
||||
result = f'''<<RESULT>>{{output_json}}<<RESULT>>'''
|
||||
print(result)
|
||||
""")
|
||||
return runner_script
|
||||
@@ -1,82 +0,0 @@
|
||||
import json
|
||||
import re
|
||||
from base64 import b64encode
|
||||
|
||||
from core.helper.code_executor.template_transformer import TemplateTransformer
|
||||
|
||||
PYTHON_RUNNER = """# declare main function here
|
||||
{{code}}
|
||||
|
||||
from json import loads, dumps
|
||||
from base64 import b64decode
|
||||
|
||||
# execute main function, and return the result
|
||||
# inputs is a dict, and it
|
||||
inputs = b64decode('{{inputs}}').decode('utf-8')
|
||||
output = main(**json.loads(inputs))
|
||||
|
||||
# convert output to json and print
|
||||
output = dumps(output, indent=4)
|
||||
|
||||
result = f'''<<RESULT>>
|
||||
{output}
|
||||
<<RESULT>>'''
|
||||
|
||||
print(result)
|
||||
"""
|
||||
|
||||
PYTHON_PRELOAD = """
|
||||
# prepare general imports
|
||||
import json
|
||||
import datetime
|
||||
import math
|
||||
import random
|
||||
import re
|
||||
import string
|
||||
import sys
|
||||
import time
|
||||
import traceback
|
||||
import uuid
|
||||
import os
|
||||
import base64
|
||||
import hashlib
|
||||
import hmac
|
||||
import binascii
|
||||
import collections
|
||||
import functools
|
||||
import operator
|
||||
import itertools
|
||||
"""
|
||||
|
||||
class PythonTemplateTransformer(TemplateTransformer):
|
||||
@classmethod
|
||||
def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
|
||||
"""
|
||||
Transform code to python runner
|
||||
:param code: code
|
||||
:param inputs: inputs
|
||||
:return:
|
||||
"""
|
||||
|
||||
# transform inputs to json string
|
||||
inputs_str = b64encode(json.dumps(inputs, ensure_ascii=False).encode()).decode('utf-8')
|
||||
|
||||
# replace code and inputs
|
||||
runner = PYTHON_RUNNER.replace('{{code}}', code)
|
||||
runner = runner.replace('{{inputs}}', inputs_str)
|
||||
|
||||
return runner, PYTHON_PRELOAD
|
||||
|
||||
@classmethod
|
||||
def transform_response(cls, response: str) -> dict:
|
||||
"""
|
||||
Transform response to dict
|
||||
:param response: response
|
||||
:return:
|
||||
"""
|
||||
# extract result
|
||||
result = re.search(r'<<RESULT>>(.*?)<<RESULT>>', response, re.DOTALL)
|
||||
if not result:
|
||||
raise ValueError('Failed to parse result')
|
||||
result = result.group(1)
|
||||
return json.loads(result)
|
||||
@@ -1,24 +1,87 @@
|
||||
import json
|
||||
import re
|
||||
from abc import ABC, abstractmethod
|
||||
from base64 import b64encode
|
||||
from typing import Optional
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from core.helper.code_executor.entities import CodeDependency
|
||||
|
||||
|
||||
class TemplateTransformer(ABC):
|
||||
class TemplateTransformer(ABC, BaseModel):
|
||||
_code_placeholder: str = '{{code}}'
|
||||
_inputs_placeholder: str = '{{inputs}}'
|
||||
_result_tag: str = '<<RESULT>>'
|
||||
|
||||
@classmethod
|
||||
@abstractmethod
|
||||
def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
|
||||
def get_standard_packages(cls) -> set[str]:
|
||||
return set()
|
||||
|
||||
@classmethod
|
||||
def transform_caller(cls, code: str, inputs: dict,
|
||||
dependencies: Optional[list[CodeDependency]] = None) -> tuple[str, str, list[CodeDependency]]:
|
||||
"""
|
||||
Transform code to python runner
|
||||
:param code: code
|
||||
:param inputs: inputs
|
||||
:return: runner, preload
|
||||
"""
|
||||
pass
|
||||
|
||||
runner_script = cls.assemble_runner_script(code, inputs)
|
||||
preload_script = cls.get_preload_script()
|
||||
|
||||
packages = dependencies or []
|
||||
standard_packages = cls.get_standard_packages()
|
||||
for package in standard_packages:
|
||||
if package not in packages:
|
||||
packages.append(CodeDependency(name=package, version=''))
|
||||
packages = list({dep.name: dep for dep in packages if dep.name}.values())
|
||||
|
||||
return runner_script, preload_script, packages
|
||||
|
||||
@classmethod
|
||||
def extract_result_str_from_response(cls, response: str) -> str:
|
||||
result = re.search(rf'{cls._result_tag}(.*){cls._result_tag}', response, re.DOTALL)
|
||||
if not result:
|
||||
raise ValueError('Failed to parse result')
|
||||
result = result.group(1)
|
||||
return result
|
||||
|
||||
@classmethod
|
||||
@abstractmethod
|
||||
def transform_response(cls, response: str) -> dict:
|
||||
"""
|
||||
Transform response to dict
|
||||
:param response: response
|
||||
:return:
|
||||
"""
|
||||
pass
|
||||
return json.loads(cls.extract_result_str_from_response(response))
|
||||
|
||||
@classmethod
|
||||
@abstractmethod
|
||||
def get_runner_script(cls) -> str:
|
||||
"""
|
||||
Get runner script
|
||||
"""
|
||||
pass
|
||||
|
||||
@classmethod
|
||||
def serialize_inputs(cls, inputs: dict) -> str:
|
||||
inputs_json_str = json.dumps(inputs, ensure_ascii=False).encode()
|
||||
input_base64_encoded = b64encode(inputs_json_str).decode('utf-8')
|
||||
return input_base64_encoded
|
||||
|
||||
@classmethod
|
||||
def assemble_runner_script(cls, code: str, inputs: dict) -> str:
|
||||
# assemble runner script
|
||||
script = cls.get_runner_script()
|
||||
script = script.replace(cls._code_placeholder, code)
|
||||
inputs_str = cls.serialize_inputs(inputs)
|
||||
script = script.replace(cls._inputs_placeholder, inputs_str)
|
||||
return script
|
||||
|
||||
@classmethod
|
||||
def get_preload_script(cls) -> str:
|
||||
"""
|
||||
Get preload script
|
||||
"""
|
||||
return ''
|
||||
|
||||
@@ -42,6 +42,20 @@ def delete(url, *args, **kwargs):
|
||||
if kwargs['follow_redirects']:
|
||||
kwargs['allow_redirects'] = kwargs['follow_redirects']
|
||||
kwargs.pop('follow_redirects')
|
||||
if 'timeout' in kwargs:
|
||||
timeout = kwargs['timeout']
|
||||
if timeout is None:
|
||||
kwargs.pop('timeout')
|
||||
elif isinstance(timeout, tuple):
|
||||
# check length of tuple
|
||||
if len(timeout) == 2:
|
||||
kwargs['timeout'] = timeout
|
||||
elif len(timeout) == 1:
|
||||
kwargs['timeout'] = timeout[0]
|
||||
elif len(timeout) > 2:
|
||||
kwargs['timeout'] = (timeout[0], timeout[1])
|
||||
else:
|
||||
kwargs['timeout'] = (timeout, timeout)
|
||||
return _delete(url=url, *args, proxies=requests_proxies, **kwargs)
|
||||
|
||||
def head(url, *args, **kwargs):
|
||||
|
||||
@@ -411,14 +411,15 @@ class IndexingRunner:
|
||||
# The user-defined segmentation rule
|
||||
rules = json.loads(processing_rule.rules)
|
||||
segmentation = rules["segmentation"]
|
||||
if segmentation["max_tokens"] < 50 or segmentation["max_tokens"] > 1000:
|
||||
raise ValueError("Custom segment length should be between 50 and 1000.")
|
||||
max_segmentation_tokens_length = int(current_app.config['INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH'])
|
||||
if segmentation["max_tokens"] < 50 or segmentation["max_tokens"] > max_segmentation_tokens_length:
|
||||
raise ValueError(f"Custom segment length should be between 50 and {max_segmentation_tokens_length}.")
|
||||
|
||||
separator = segmentation["separator"]
|
||||
if separator:
|
||||
separator = separator.replace('\\n', '\n')
|
||||
|
||||
if 'chunk_overlap' in segmentation and segmentation['chunk_overlap']:
|
||||
if segmentation.get('chunk_overlap'):
|
||||
chunk_overlap = segmentation['chunk_overlap']
|
||||
else:
|
||||
chunk_overlap = 0
|
||||
@@ -427,7 +428,7 @@ class IndexingRunner:
|
||||
chunk_size=segmentation["max_tokens"],
|
||||
chunk_overlap=chunk_overlap,
|
||||
fixed_separator=separator,
|
||||
separators=["\n\n", "。", ".", " ", ""],
|
||||
separators=["\n\n", "。", ". ", " ", ""],
|
||||
embedding_model_instance=embedding_model_instance
|
||||
)
|
||||
else:
|
||||
@@ -435,7 +436,7 @@ class IndexingRunner:
|
||||
character_splitter = EnhanceRecursiveCharacterTextSplitter.from_encoder(
|
||||
chunk_size=DatasetProcessRule.AUTOMATIC_RULES['segmentation']['max_tokens'],
|
||||
chunk_overlap=DatasetProcessRule.AUTOMATIC_RULES['segmentation']['chunk_overlap'],
|
||||
separators=["\n\n", "。", ".", " ", ""],
|
||||
separators=["\n\n", "。", ". ", " ", ""],
|
||||
embedding_model_instance=embedding_model_instance
|
||||
)
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
from abc import ABC
|
||||
from typing import Optional
|
||||
|
||||
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
|
||||
@@ -14,7 +13,7 @@ _TEXT_COLOR_MAPPING = {
|
||||
}
|
||||
|
||||
|
||||
class Callback(ABC):
|
||||
class Callback:
|
||||
"""
|
||||
Base class for callbacks.
|
||||
Only for LLM.
|
||||
|
||||
@@ -51,7 +51,7 @@
|
||||
- `voices` (list) List of available voice.(available for model type `tts`)
|
||||
- `mode` (string) voice model.(available for model type `tts`)
|
||||
- `name` (string) voice model display name.(available for model type `tts`)
|
||||
- `lanuage` (string) the voice model supports languages.(available for model type `tts`)
|
||||
- `language` (string) the voice model supports languages.(available for model type `tts`)
|
||||
- `word_limit` (int) Single conversion word limit, paragraphwise by default(available for model type `tts`)
|
||||
- `audio_type` (string) Support audio file extension format, e.g.:mp3,wav(available for model type `tts`)
|
||||
- `max_workers` (int) Number of concurrent workers supporting text and audio conversion(available for model type`tts`)
|
||||
|
||||
@@ -52,7 +52,7 @@
|
||||
- `voices` (list) 可选音色列表。
|
||||
- `mode` (string) 音色模型。(模型类型 `tts` 可用)
|
||||
- `name` (string) 音色模型显示名称。(模型类型 `tts` 可用)
|
||||
- `lanuage` (string) 音色模型支持语言。(模型类型 `tts` 可用)
|
||||
- `language` (string) 音色模型支持语言。(模型类型 `tts` 可用)
|
||||
- `word_limit` (int) 单次转换字数限制,默认按段落分段(模型类型 `tts` 可用)
|
||||
- `audio_type` (string) 支持音频文件扩展格式,如:mp3,wav(模型类型 `tts` 可用)
|
||||
- `max_workers` (int) 支持文字音频转换并发任务数(模型类型 `tts` 可用)
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user