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Commit 201d9943 authored by Jyong's avatar Jyong
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Merge branch 'main' into feat/dataset-notion-import

parents 3a98c636 380b4b3d
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.github/ISSUE_TEMPLATE/🐛-bug-report.md 0 → 100644
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---
name: "\U0001F41B Bug report"
about: Create a report to help us improve
title: ''
labels: bug
assignees: ''
---
<!--
Please provide a clear and concise description of what the bug is. Include
screenshots if needed. Please test using the latest version of the relevant
Dify packages to make sure your issue has not already been fixed.
-->
Dify version: Cloud | Self Host
## Steps To Reproduce
<!--
Your bug will get fixed much faster if we can run your code and it doesn't
have dependencies other than Dify. Issues without reproduction steps or
code examples may be immediately closed as not actionable.
-->
1.
2.
## The current behavior
## The expected behavior
.github/ISSUE_TEMPLATE/🚀-feature-request.md 0 → 100644
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---
name: "\U0001F680 Feature request"
about: Suggest an idea for this project
title: ''
labels: enhancement
assignees: ''
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.
**Additional context**
Add any other context or screenshots about the feature request here.
.github/ISSUE_TEMPLATE/🤔-questions-and-help.md 0 → 100644
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---
name: "\U0001F914 Questions and Help"
about: Ask a usage or consultation question
title: ''
labels: ''
assignees: ''
---
CONTRIBUTING_JA.md 0 → 100644
View file @ 201d9943
# コントリビュート
[Dify](https://dify.ai) に興味を持ち、貢献したいと思うようになったことに感謝します！始める前に、
[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を読み、
[既存の問題](https://github.com/langgenius/langgenius-gateway/issues)をチェックしてください。
本ドキュメントは、[Dify](https://dify.ai) をビルドしてテストするための開発環境の構築方法を説明するものです。
### 依存関係のインストール
[Dify](https://dify.ai)をビルドするには、お使いのマシンに以下の依存関係をインストールし、設定する必要があります:
- [Git](http://git-scm.com/)
- [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/) バージョン 8.x.x もしくは [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) バージョン 3.10.x
## ローカル開発
開発環境を構築するには、プロジェクトの git リポジトリをフォークし、適切なパッケージマネージャを使用してバックエンドとフロントエンドの依存関係をインストールし、docker-compose スタックを実行するように作成します。
### リポジトリのフォーク
[リポジトリ](https://github.com/langgenius/dify) をフォークする必要があります。
### リポジトリのクローン
GitHub でフォークしたリポジトリのクローンを作成する:
```
git clone git@github.com:<github_username>/dify.git
```
### バックエンドのインストール
バックエンドアプリケーションのインストール方法については、[Backend README](api/README.md) を参照してください。
### フロントエンドのインストール
フロントエンドアプリケーションのインストール方法については、[Frontend README](web/README.md) を参照してください。
### ブラウザで dify にアクセス
[Dify](https://dify.ai) をローカル環境で見ることができるようになりました [http://localhost:3000](http://localhost:3000)。
## プルリクエストの作成
変更後、プルリクエスト (PR) をオープンしてください。プルリクエストを提出すると、Dify チーム/コミュニティの他の人があなたと一緒にそれをレビューします。
マージコンフリクトなどの問題が発生したり、プルリクエストの開き方がわからなくなったりしませんでしたか？ [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) で、マージコンフリクトやその他の問題を解決する方法をチェックしてみてください。あなたの PR がマージされると、[コントリビュータチャート](https://github.com/langgenius/langgenius-gateway/graphs/contributors)にコントリビュータとして誇らしげに掲載されます。
## コミュニティチャンネル
お困りですか？何か質問がありますか？ [Discord Community サーバ](https://discord.gg/AhzKf7dNgk)に参加してください。私たちがお手伝いします！
README.md
View file @ 201d9943
![](./images/describe-en.png)
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a>
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a>
</p>
[Website](https://dify.ai) • [Docs](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
Vote for us on Product Hunt ↓
<a href="https://www.producthunt.com/posts/dify-ai"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?sanitize=true&post_id=dify-ai&theme=light" alt="Product Hunt Badge" width="250" height="54"></a>
**Dify** is an easy-to-use LLMOps platform designed to empower more people to create sustainable, AI-native applications. With visual orchestration for various application types, Dify offers out-of-the-box, ready-to-use applications that can also serve as Backend-as-a-Service APIs. Unify your development process with one API for plugins and datasets integration, and streamline your operations using a single interface for prompt engineering, visual analytics, and continuous improvement.
Applications created with Dify include:
......
README_CN.md
View file @ 201d9943
![](./images/describe-cn.jpg)
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a>
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a>
</p>
[官方网站](https://dify.ai) • [文档](https://docs.dify.ai/v/zh-hans) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
在 Product Hunt 上投我们一票吧 ↓
<a href="https://www.producthunt.com/posts/dify-ai"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?sanitize=true&post_id=dify-ai&theme=light" alt="Product Hunt Badge" width="250" height="54"></a>
**Dify** 是一个易用的 LLMOps 平台，旨在让更多人可以创建可持续运营的原生 AI 应用。Dify 提供多种类型应用的可视化编排，应用可开箱即用，也能以“后端即服务”的 API 提供服务。
通过 Dify 创建的应用包含了：
......
README_JA.md 0 → 100644
View file @ 201d9943
![](./images/describe-en.png)
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a>
</p>
[Web サイト](https://dify.ai) • [ドキュメント](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
Product Huntで私たちに投票してください ↓
<a href="https://www.producthunt.com/posts/dify-ai"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?sanitize=true&post_id=dify-ai&theme=light" alt="Product Hunt Badge" width="250" height="54"></a>
**Dify** は、より多くの人々が持続可能な AI ネイティブアプリケーションを作成できるように設計された、使いやすい LLMOps プラットフォームです。様々なアプリケーションタイプに対応したビジュアルオーケストレーションにより Dify は Backend-as-a-Service API としても機能する、すぐに使えるアプリケーションを提供します。プラグインやデータセットを統合するための1つの API で開発プロセスを統一し、プロンプトエンジニアリング、ビジュアル分析、継続的な改善のための1つのインターフェイスを使って業務を合理化します。
Difyで作成したアプリケーションは以下の通りです:
フォームモードとチャット会話モードをサポートする、すぐに使える Web サイト
プラグイン機能、コンテキストの強化などを網羅する単一の API により、バックエンドのコーディングの手間を省きます。
アプリケーションの視覚的なデータ分析、ログレビュー、アノテーションが可能です。
Dify は LangChain と互換性があり、複数の LLM を徐々にサポートします:
- GPT 3 (text-davinci-003)
- GPT 3.5 Turbo(ChatGPT)
- GPT-4
## クラウドサービスの利用
[Dify.ai](https://dify.ai) をご覧ください
## Community Edition のインストール
### システム要件
Dify をインストールする前に、お使いのマシンが以下の最低システム要件を満たしていることを確認してください:
- CPU >= 1 Core
- RAM >= 4GB
### クイックスタート
Dify サーバーを起動する最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml) ファイルを実行することです。インストールコマンドを実行する前に、[Docker](https://docs.docker.com/get-docker/) と [Docker Compose](https://docs.docker.com/compose/install/) がお使いのマシンにインストールされていることを確認してください:
```bash
cd docker
docker-compose up -d
```
実行後、ブラウザで [http://localhost/install](http://localhost/install) にアクセスし、初期化インストール作業を開始することができます。
### 構成
カスタマイズが必要な場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、手動で環境設定をお願いします。変更後、再度 'docker-compose up -d' を実行してください。
## ロードマップ
開発中の機能:
- **データセット**, Notionやウェブページからのコンテンツ同期など、より多くのデータセットをサポートします
テキスト、ウェブページ、さらには Notion コンテンツなど、より多くのデータセットをサポートする予定です。ユーザーは、自分のデータソースをもとに AI アプリケーションを構築することができます。
- **プラグイン**, アプリケーションに ChatGPT プラグイン標準のプラグインを導入する、または Dify 制作のプラグインを利用する
今後、ChatGPT 規格に準拠したプラグインや、ディファイ独自のプラグインを公開し、より多くの機能をアプリケーションで実現できるようにします。
- **オープンソースモデル**, 例えばモデルプロバイダーとして Llama を採用したり、さらにファインチューニングを行う
Llama のような優れたオープンソースモデルを、私たちのプラットフォームのモデルオプションとして提供したり、さらなる微調整のために使用したりすることで、協力していきます。
## Q&A
**Q: Dify で何ができるのか？**
A: Dify はシンプルでパワフルな LLM 開発・運用ツールです。商用グレードのアプリケーション、パーソナルアシスタントを構築するために使用することができます。独自のアプリケーションを開発したい場合、LangDifyGenius は OpenAI と統合する際のバックエンド作業を省き、視覚的な操作機能を提供し、GPT モデルを継続的に改善・訓練することが可能です。
**Q: Dify を使って、自分のモデルを「トレーニング」するにはどうすればいいのでしょうか？**
A: プロンプトエンジニアリング、コンテキスト拡張、ファインチューニングからなる価値あるアプリケーションです。プロンプトとプログラミング言語を組み合わせたハイブリッドプログラミングアプローチ（テンプレートエンジンのようなもの）で、長文の埋め込みやユーザー入力の YouTube 動画からの字幕取り込みなどを簡単に実現し、これらはすべて LLM が処理するコンテキストとして提出される予定です。また、アプリケーションの操作性を重視し、ユーザーがアプリケーションを使用する際に生成したデータを分析、アノテーション、継続的なトレーニングに利用できるようにしました。適切なツールがなければ、これらのステップに時間がかかることがあります。
**Q: 自分でアプリケーションを作りたい場合、何を準備すればよいですか？**
A: すでに OpenAI API Key をお持ちだと思いますが、お持ちでない場合はご登録ください。もし、すでにトレーニングのコンテキストとなるコンテンツをお持ちでしたら、それは素晴らしいことです！
**Q: インターフェイスにどの言語が使えますか？**
A: 現在、英語と中国語に対応しており、言語パックを寄贈することも可能です。
## Star ヒストリー
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## お問合せ
ご質問、ご提案、パートナーシップに関するお問い合わせは、以下のチャンネルからお気軽にご連絡ください:
- GitHub Repo で Issue や PR を提出する
- [Discord](https://discord.gg/FngNHpbcY7) コミュニティで議論に参加する。
- hello@dify.ai にメールを送信します
私たちは、皆様のお手伝いをさせていただき、より楽しく、より便利な AI アプリケーションを一緒に作っていきたいと思っています！
## コントリビュート
適切なレビューを行うため、コミットへの直接アクセスが可能なコントリビュータを含むすべてのコードコントリビュータは、プルリクエストで提出し、マージされる前にコア開発チームによって承認される必要があります。
私たちはすべてのプルリクエストを歓迎します！協力したい方は、[コントリビューションガイド](CONTRIBUTING.md) をチェックしてみてください。
## セキュリティ
プライバシー保護のため、GitHub へのセキュリティ問題の投稿は避けてください。代わりに、あなたの質問を security@dify.ai に送ってください。より詳細な回答を提供します。
## 引用
本ソフトウェアは、以下のオープンソースソフトウェアを使用しています:
- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
- Liu, J. (2022). LlamaIndex [Computer software]. doi: 10.5281/zenodo.1234.
詳しくは、各ソフトウェアの公式サイトまたはライセンス文をご参照ください。
## ライセンス
このリポジトリは、[Dify Open Source License](LICENSE) のもとで利用できます。
api/.env.example
View file @ 201d9943
......@@ -14,7 +14,7 @@ CONSOLE_URL=http://127.0.0.1:5001
API_URL=http://127.0.0.1:5001
# Web APP base URL
APP_URL=http://127.0.0.1:5001
APP_URL=http://127.0.0.1:3000
# celery configuration
CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
......
api/README.md
View file @ 201d9943
......@@ -33,3 +33,4 @@
flask run --host 0.0.0.0 --port=5001 --debug
```
7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
8. If you need to debug local async processing, you can run `celery -A app.celery worker`, celery can do dataset importing and other async tasks.
\ No newline at end of file
api/config.py
View file @ 201d9943
......@@ -21,9 +21,11 @@ DEFAULTS = {
'REDIS_HOST': 'localhost',
'REDIS_PORT': '6379',
'REDIS_DB': '0',
'REDIS_USE_SSL': 'False',
'SESSION_REDIS_HOST': 'localhost',
'SESSION_REDIS_PORT': '6379',
'SESSION_REDIS_DB': '2',
'SESSION_REDIS_USE_SSL': 'False',
'OAUTH_REDIRECT_PATH': '/console/api/oauth/authorize',
'OAUTH_REDIRECT_INDEX_PATH': '/',
'CONSOLE_URL': 'https://cloud.dify.ai',
......@@ -44,6 +46,8 @@ DEFAULTS = {
'CELERY_BACKEND': 'database',
'PDF_PREVIEW': 'True',
'LOG_LEVEL': 'INFO',
'DISABLE_PROVIDER_CONFIG_VALIDATION': 'False',
'DEFAULT_LLM_PROVIDER': 'openai'
}
......@@ -105,14 +109,18 @@ class Config:
# redis settings
self.REDIS_HOST = get_env('REDIS_HOST')
self.REDIS_PORT = get_env('REDIS_PORT')
self.REDIS_USERNAME = get_env('REDIS_USERNAME')
self.REDIS_PASSWORD = get_env('REDIS_PASSWORD')
self.REDIS_DB = get_env('REDIS_DB')
self.REDIS_USE_SSL = get_bool_env('REDIS_USE_SSL')
# session redis settings
self.SESSION_REDIS_HOST = get_env('SESSION_REDIS_HOST')
self.SESSION_REDIS_PORT = get_env('SESSION_REDIS_PORT')
self.SESSION_REDIS_USERNAME = get_env('SESSION_REDIS_USERNAME')
self.SESSION_REDIS_PASSWORD = get_env('SESSION_REDIS_PASSWORD')
self.SESSION_REDIS_DB = get_env('SESSION_REDIS_DB')
self.SESSION_REDIS_USE_SSL = get_bool_env('SESSION_REDIS_USE_SSL')
# storage settings
self.STORAGE_TYPE = get_env('STORAGE_TYPE')
......@@ -165,10 +173,18 @@ class Config:
self.CELERY_BACKEND = get_env('CELERY_BACKEND')
self.CELERY_RESULT_BACKEND = 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \
if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
self.BROKER_USE_SSL = self.CELERY_BROKER_URL.startswith('rediss://')
# hosted provider credentials
self.OPENAI_API_KEY = get_env('OPENAI_API_KEY')
# By default it is False
# You could disable it for compatibility with certain OpenAPI providers
self.DISABLE_PROVIDER_CONFIG_VALIDATION = get_bool_env('DISABLE_PROVIDER_CONFIG_VALIDATION')
# For temp use only
# set default LLM provider, default is 'openai', support `azure_openai`
self.DEFAULT_LLM_PROVIDER = get_env('DEFAULT_LLM_PROVIDER')
class CloudEditionConfig(Config):
......
api/controllers/console/app/__init__.py
View file @ 201d9943
......@@ -17,6 +17,6 @@ def _get_app(app_id, mode=None):
raise NotFound("App not found")
if mode and app.mode != mode:
raise AppUnavailableError()
raise NotFound("The {} app not found".format(mode))
return app
api/controllers/console/app/error.py
View file @ 201d9943
......@@ -9,31 +9,33 @@ class AppNotFoundError(BaseHTTPException):
class ProviderNotInitializeError(BaseHTTPException):
error_code = 'provider_not_initialize'
description = "Provider Token not initialize."
description = "No valid model provider credentials found. " \
"Please go to Settings -> Model Provider to complete your provider credentials."
code = 400
class ProviderQuotaExceededError(BaseHTTPException):
error_code = 'provider_quota_exceeded'
description = "Provider quota exceeded."
description = "Your quota for Dify Hosted OpenAI has been exhausted. " \
"Please go to Settings -> Model Provider to complete your own provider credentials."
code = 400
class ProviderModelCurrentlyNotSupportError(BaseHTTPException):
error_code = 'model_currently_not_support'
description = "GPT-4 currently not support."
description = "Dify Hosted OpenAI trial currently not support the GPT-4 model."
code = 400
class ConversationCompletedError(BaseHTTPException):
error_code = 'conversation_completed'
description = "Conversation was completed."
description = "The conversation has ended. Please start a new conversation."
code = 400
class AppUnavailableError(BaseHTTPException):
error_code = 'app_unavailable'
description = "App unavailable."
description = "App unavailable, please check your app configurations."
code = 400
......@@ -45,5 +47,5 @@ class CompletionRequestError(BaseHTTPException):
class AppMoreLikeThisDisabledError(BaseHTTPException):
error_code = 'app_more_like_this_disabled'
description = "More like this disabled."
description = "The 'More like this' feature is disabled. Please refresh your page."
code = 403
api/controllers/console/datasets/datasets_document.py
View file @ 201d9943
......@@ -10,13 +10,14 @@ from werkzeug.exceptions import NotFound, Forbidden
import services
from controllers.console import api
from controllers.console.app.error import ProviderNotInitializeError
from controllers.console.app.error import ProviderNotInitializeError, ProviderQuotaExceededError, \
ProviderModelCurrentlyNotSupportError
from controllers.console.datasets.error import DocumentAlreadyFinishedError, InvalidActionError, DocumentIndexingError, \
InvalidMetadataError, ArchivedDocumentImmutableError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.indexing_runner import IndexingRunner
from core.llm.error import ProviderTokenNotInitError
from core.llm.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
from extensions.ext_redis import redis_client
from libs.helper import TimestampField
from extensions.ext_database import db
......@@ -222,6 +223,10 @@ class DatasetDocumentListApi(Resource):
document = DocumentService.save_document_with_dataset_id(dataset, args, current_user)
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
return document
......@@ -259,6 +264,10 @@ class DatasetInitApi(Resource):
)
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
response = {
'dataset': dataset,
......
api/controllers/console/datasets/error.py
View file @ 201d9943
......@@ -3,7 +3,7 @@ from libs.exception import BaseHTTPException
class NoFileUploadedError(BaseHTTPException):
error_code = 'no_file_uploaded'
description = "No file uploaded."
description = "Please upload your file."
code = 400
......@@ -27,25 +27,25 @@ class UnsupportedFileTypeError(BaseHTTPException):
class HighQualityDatasetOnlyError(BaseHTTPException):
error_code = 'high_quality_dataset_only'
description = "High quality dataset only."
description = "Current operation only supports 'high-quality' datasets."
code = 400
class DatasetNotInitializedError(BaseHTTPException):
error_code = 'dataset_not_initialized'
description = "Dataset not initialized."
description = "The dataset is still being initialized or indexing. Please wait a moment."
code = 400
class ArchivedDocumentImmutableError(BaseHTTPException):
error_code = 'archived_document_immutable'
description = "Cannot process an archived document."
description = "The archived document is not editable."
code = 403
class DatasetNameDuplicateError(BaseHTTPException):
error_code = 'dataset_name_duplicate'
description = "Dataset name already exists."
description = "The dataset name already exists. Please modify your dataset name."
code = 409
......@@ -57,17 +57,17 @@ class InvalidActionError(BaseHTTPException):
class DocumentAlreadyFinishedError(BaseHTTPException):
error_code = 'document_already_finished'
description = "Document already finished."
description = "The document has been processed. Please refresh the page or go to the document details."
code = 400
class DocumentIndexingError(BaseHTTPException):
error_code = 'document_indexing'
description = "Document indexing."
description = "The document is being processed and cannot be edited."
code = 400
class InvalidMetadataError(BaseHTTPException):
error_code = 'invalid_metadata'
description = "Invalid metadata."
description = "The metadata content is incorrect. Please check and verify."
code = 400
api/controllers/console/datasets/hit_testing.py
View file @ 201d9943
......@@ -6,9 +6,12 @@ from werkzeug.exceptions import InternalServerError, NotFound, Forbidden
import services
from controllers.console import api
from controllers.console.app.error import ProviderNotInitializeError, ProviderQuotaExceededError, \
ProviderModelCurrentlyNotSupportError
from controllers.console.datasets.error import HighQualityDatasetOnlyError, DatasetNotInitializedError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.llm.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
from libs.helper import TimestampField
from services.dataset_service import DatasetService
from services.hit_testing_service import HitTestingService
......@@ -92,6 +95,12 @@ class HitTestingApi(Resource):
return {"query": response['query'], 'records': marshal(response['records'], hit_testing_record_fields)}
except services.errors.index.IndexNotInitializedError:
raise DatasetNotInitializedError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except Exception as e:
logging.exception("Hit testing failed.")
raise InternalServerError(str(e))
......
api/controllers/console/error.py
View file @ 201d9943
......@@ -3,13 +3,14 @@ from libs.exception import BaseHTTPException
class AlreadySetupError(BaseHTTPException):
error_code = 'already_setup'
description = "Application already setup."
description = "Dify has been successfully installed. Please refresh the page or return to the dashboard homepage."
code = 403
class NotSetupError(BaseHTTPException):
error_code = 'not_setup'
description = "Application not setup."
description = "Dify has not been initialized and installed yet. " \
"Please proceed with the initialization and installation process first."
code = 401
......
api/controllers/console/version.py
View file @ 201d9943
......@@ -19,6 +19,14 @@ class VersionApi(Resource):
args = parser.parse_args()
check_update_url = current_app.config['CHECK_UPDATE_URL']
if not check_update_url:
return {
'version': '0.0.0',
'release_date': '',
'release_notes': '',
'can_auto_update': False
}
try:
response = requests.get(check_update_url, {
'current_version': args.get('current_version')
......
api/controllers/console/workspace/error.py
View file @ 201d9943
......@@ -21,11 +21,11 @@ class InvalidInvitationCodeError(BaseHTTPException):
class AccountAlreadyInitedError(BaseHTTPException):
error_code = 'account_already_inited'
description = "Account already inited."
description = "The account has been initialized. Please refresh the page."
code = 400
class AccountNotInitializedError(BaseHTTPException):
error_code = 'account_not_initialized'
description = "Account not initialized."
description = "The account has not been initialized yet. Please proceed with the initialization process first."
code = 400
api/controllers/console/workspace/providers.py
View file @ 201d9943
......@@ -82,29 +82,33 @@ class ProviderTokenApi(Resource):
args = parser.parse_args()
if not args['token']:
raise ValueError('Token is empty')
try:
ProviderService.validate_provider_configs(
if args['token']:
try:
ProviderService.validate_provider_configs(
tenant=current_user.current_tenant,
provider_name=ProviderName(provider),
configs=args['token']
)
token_is_valid = True
except ValidateFailedError as ex:
raise ValueError(str(ex))
base64_encrypted_token = ProviderService.get_encrypted_token(
tenant=current_user.current_tenant,
provider_name=ProviderName(provider),
configs=args['token']
)
token_is_valid = True
except ValidateFailedError:
else:
base64_encrypted_token = None
token_is_valid = False
tenant = current_user.current_tenant
base64_encrypted_token = ProviderService.get_encrypted_token(
tenant=current_user.current_tenant,
provider_name=ProviderName(provider),
configs=args['token']
)
provider_model = Provider.query.filter_by(tenant_id=tenant.id, provider_name=provider,
provider_type=ProviderType.CUSTOM.value).first()
provider_model = db.session.query(Provider).filter(
Provider.tenant_id == tenant.id,
Provider.provider_name == provider,
Provider.provider_type == ProviderType.CUSTOM.value
).first()
# Only allow updating token for CUSTOM provider type
if provider_model:
......@@ -117,6 +121,16 @@ class ProviderTokenApi(Resource):
is_valid=token_is_valid)
db.session.add(provider_model)
if provider_model.is_valid:
other_providers = db.session.query(Provider).filter(
Provider.tenant_id == tenant.id,
Provider.provider_name != provider,
Provider.provider_type == ProviderType.CUSTOM.value
).all()
for other_provider in other_providers:
other_provider.is_valid = False
db.session.commit()
if provider in [ProviderName.ANTHROPIC.value, ProviderName.AZURE_OPENAI.value, ProviderName.COHERE.value,
......@@ -143,7 +157,7 @@ class ProviderTokenValidateApi(Resource):
args = parser.parse_args()
# todo: remove this when the provider is supported
if provider in [ProviderName.ANTHROPIC.value, ProviderName.AZURE_OPENAI.value, ProviderName.COHERE.value,
if provider in [ProviderName.ANTHROPIC.value, ProviderName.COHERE.value,
ProviderName.HUGGINGFACEHUB.value]:
return {'result': 'success', 'warning': 'MOCK: This provider is not supported yet.'}
......
api/controllers/service_api/app/error.py
View file @ 201d9943
......@@ -4,43 +4,45 @@ from libs.exception import BaseHTTPException
class AppUnavailableError(BaseHTTPException):
error_code = 'app_unavailable'
description = "App unavailable."
description = "App unavailable, please check your app configurations."
code = 400
class NotCompletionAppError(BaseHTTPException):
error_code = 'not_completion_app'
description = "Not Completion App"
description = "Please check if your Completion app mode matches the right API route."
code = 400
class NotChatAppError(BaseHTTPException):
error_code = 'not_chat_app'
description = "Not Chat App"
description = "Please check if your Chat app mode matches the right API route."
code = 400
class ConversationCompletedError(BaseHTTPException):
error_code = 'conversation_completed'
description = "Conversation Completed."
description = "The conversation has ended. Please start a new conversation."
code = 400
class ProviderNotInitializeError(BaseHTTPException):
error_code = 'provider_not_initialize'
description = "Provider Token not initialize."
description = "No valid model provider credentials found. " \
"Please go to Settings -> Model Provider to complete your provider credentials."
code = 400
class ProviderQuotaExceededError(BaseHTTPException):
error_code = 'provider_quota_exceeded'
description = "Provider quota exceeded."
description = "Your quota for Dify Hosted OpenAI has been exhausted. " \
"Please go to Settings -> Model Provider to complete your own provider credentials."
code = 400
class ProviderModelCurrentlyNotSupportError(BaseHTTPException):
error_code = 'model_currently_not_support'
description = "GPT-4 currently not support."
description = "Dify Hosted OpenAI trial currently not support the GPT-4 model."
code = 400
......
api/controllers/service_api/dataset/error.py
View file @ 201d9943
......@@ -16,5 +16,5 @@ class DocumentIndexingError(BaseHTTPException):
class DatasetNotInitedError(BaseHTTPException):
error_code = 'dataset_not_inited'
description = "Dataset not inited."
description = "The dataset is still being initialized or indexing. Please wait a moment."
code = 403
api/controllers/web/error.py
View file @ 201d9943
......@@ -4,43 +4,45 @@ from libs.exception import BaseHTTPException
class AppUnavailableError(BaseHTTPException):
error_code = 'app_unavailable'
description = "App unavailable."
description = "App unavailable, please check your app configurations."
code = 400
class NotCompletionAppError(BaseHTTPException):
error_code = 'not_completion_app'
description = "Not Completion App"
description = "Please check if your Completion app mode matches the right API route."
code = 400
class NotChatAppError(BaseHTTPException):
error_code = 'not_chat_app'
description = "Not Chat App"
description = "Please check if your Chat app mode matches the right API route."
code = 400
class ConversationCompletedError(BaseHTTPException):
error_code = 'conversation_completed'
description = "Conversation Completed."
description = "The conversation has ended. Please start a new conversation."
code = 400
class ProviderNotInitializeError(BaseHTTPException):
error_code = 'provider_not_initialize'
description = "Provider Token not initialize."
description = "No valid model provider credentials found. " \
"Please go to Settings -> Model Provider to complete your provider credentials."
code = 400
class ProviderQuotaExceededError(BaseHTTPException):
error_code = 'provider_quota_exceeded'
description = "Provider quota exceeded."
description = "Your quota for Dify Hosted OpenAI has been exhausted. " \
"Please go to Settings -> Model Provider to complete your own provider credentials."
code = 400
class ProviderModelCurrentlyNotSupportError(BaseHTTPException):
error_code = 'model_currently_not_support'
description = "GPT-4 currently not support."
description = "Dify Hosted OpenAI trial currently not support the GPT-4 model."
code = 400
......@@ -52,11 +54,11 @@ class CompletionRequestError(BaseHTTPException):
class AppMoreLikeThisDisabledError(BaseHTTPException):
error_code = 'app_more_like_this_disabled'
description = "More like this disabled."
description = "The 'More like this' feature is disabled. Please refresh your page."
code = 403
class AppSuggestedQuestionsAfterAnswerDisabledError(BaseHTTPException):
error_code = 'app_suggested_questions_after_answer_disabled'
description = "Function Suggested questions after answer disabled."
description = "The 'Suggested Questions After Answer' feature is disabled. Please refresh your page."
code = 403
api/core/completion.py
View file @ 201d9943
from typing import Optional, List, Union
from typing import Optional, List, Union, Tuple
from langchain.callbacks import CallbackManager
from langchain.chat_models.base import BaseChatModel
......@@ -39,7 +39,8 @@ class Completion:
memory = cls.get_memory_from_conversation(
tenant_id=app.tenant_id,
app_model_config=app_model_config,
conversation=conversation
conversation=conversation,
return_messages=False
)
inputs = conversation.inputs
......@@ -96,7 +97,7 @@ class Completion:
)
# get llm prompt
prompt = cls.get_main_llm_prompt(
prompt, stop_words = cls.get_main_llm_prompt(
mode=mode,
llm=final_llm,
pre_prompt=app_model_config.pre_prompt,
......@@ -114,30 +115,47 @@ class Completion:
mode=mode
)
response = final_llm.generate([prompt])
response = final_llm.generate([prompt], stop_words)
return response
@classmethod
def get_main_llm_prompt(cls, mode: str, llm: BaseLanguageModel, pre_prompt: str, query: str, inputs: dict, chain_output: Optional[str],
def get_main_llm_prompt(cls, mode: str, llm: BaseLanguageModel, pre_prompt: str, query: str, inputs: dict,
chain_output: Optional[str],
memory: Optional[ReadOnlyConversationTokenDBBufferSharedMemory]) -> \
Union[str | List[BaseMessage]]:
Tuple[Union[str | List[BaseMessage]], Optional[List[str]]]:
# disable template string in query
query_params = OutLinePromptTemplate.from_template(template=query).input_variables
if query_params:
for query_param in query_params:
if query_param not in inputs:
inputs[query_param] = '{' + query_param + '}'
pre_prompt = PromptBuilder.process_template(pre_prompt) if pre_prompt else pre_prompt
if mode == 'completion':
prompt_template = OutLinePromptTemplate.from_template(
template=("Use the following pieces of [CONTEXT] to answer the question at the end. "
"If you don't know the answer, "
"just say that you don't know, don't try to make up an answer. \n"
"```\n"
"[CONTEXT]\n"
"{context}\n"
"```\n" if chain_output else "")
template=("""Use the following CONTEXT as your learned knowledge:
[CONTEXT]
{context}
[END CONTEXT]
When answer to user:
- If you don't know, just say that you don't know.
- If you don't know when you are not sure, ask for clarification.
Avoid mentioning that you obtained the information from the context.
And answer according to the language of the user's question.
""" if chain_output else "")
+ (pre_prompt + "\n" if pre_prompt else "")
+ "{query}\n"
)
if chain_output:
inputs['context'] = chain_output
context_params = OutLinePromptTemplate.from_template(template=chain_output).input_variables
if context_params:
for context_param in context_params:
if context_param not in inputs:
inputs[context_param] = '{' + context_param + '}'
prompt_inputs = {k: inputs[k] for k in prompt_template.input_variables if k in inputs}
prompt_content = prompt_template.format(
......@@ -147,64 +165,83 @@ class Completion:
if isinstance(llm, BaseChatModel):
# use chat llm as completion model
return [HumanMessage(content=prompt_content)]
return [HumanMessage(content=prompt_content)], None
else:
return prompt_content
return prompt_content, None
else:
messages: List[BaseMessage] = []
system_message = None
human_inputs = {
"query": query
}
human_message_prompt = ""
if pre_prompt:
# append pre prompt as system message
system_message = PromptBuilder.to_system_message(pre_prompt, inputs)
pre_prompt_inputs = {k: inputs[k] for k in
OutLinePromptTemplate.from_template(template=pre_prompt).input_variables
if k in inputs}
if pre_prompt_inputs:
human_inputs.update(pre_prompt_inputs)
if chain_output:
# append context as system message, currently only use simple stuff prompt
context_message = PromptBuilder.to_system_message(
"""Use the following pieces of [CONTEXT] to answer the users question.
If you don't know the answer, just say that you don't know, don't try to make up an answer.
```
human_inputs['context'] = chain_output
human_message_prompt += """Use the following CONTEXT as your learned knowledge.
[CONTEXT]
{context}
```""",
{'context': chain_output}
[END CONTEXT]
When answer to user:
- If you don't know, just say that you don't know.
- If you don't know when you are not sure, ask for clarification.
Avoid mentioning that you obtained the information from the context.
And answer according to the language of the user's question.
"""
if pre_prompt:
human_message_prompt += pre_prompt
query_prompt = "\nHuman: {query}\nAI: "
if memory:
# append chat histories
tmp_human_message = PromptBuilder.to_human_message(
prompt_content=human_message_prompt + query_prompt,
inputs=human_inputs
)
if not system_message:
system_message = context_message
else:
system_message.content = context_message.content + "\n\n" + system_message.content
curr_message_tokens = memory.llm.get_messages_tokens([tmp_human_message])
rest_tokens = llm_constant.max_context_token_length[memory.llm.model_name] \
- memory.llm.max_tokens - curr_message_tokens
rest_tokens = max(rest_tokens, 0)
histories = cls.get_history_messages_from_memory(memory, rest_tokens)
if system_message:
messages.append(system_message)
# disable template string in query
histories_params = OutLinePromptTemplate.from_template(template=histories).input_variables
if histories_params:
for histories_param in histories_params:
if histories_param not in human_inputs:
human_inputs[histories_param] = '{' + histories_param + '}'
human_inputs = {
"query": query
}
human_message_prompt += "\n\n" + histories
human_message_prompt += query_prompt
# construct main prompt
human_message = PromptBuilder.to_human_message(
prompt_content="{query}",
prompt_content=human_message_prompt,
inputs=human_inputs
)
if memory:
# append chat histories
tmp_messages = messages.copy() + [human_message]
curr_message_tokens = memory.llm.get_messages_tokens(tmp_messages)
rest_tokens = llm_constant.max_context_token_length[
memory.llm.model_name] - memory.llm.max_tokens - curr_message_tokens
rest_tokens = max(rest_tokens, 0)
history_messages = cls.get_history_messages_from_memory(memory, rest_tokens)
messages += history_messages
messages.append(human_message)
return messages
return messages, ['\nHuman:']
@classmethod
def get_llm_callback_manager(cls, llm: Union[StreamableOpenAI, StreamableChatOpenAI],
streaming: bool, conversation_message_task: ConversationMessageTask) -> CallbackManager:
streaming: bool,
conversation_message_task: ConversationMessageTask) -> CallbackManager:
llm_callback_handler = LLMCallbackHandler(llm, conversation_message_task)
if streaming:
callback_handlers = [llm_callback_handler, DifyStreamingStdOutCallbackHandler()]
......@@ -216,7 +253,7 @@ If you don't know the answer, just say that you don't know, don't try to make up
@classmethod
def get_history_messages_from_memory(cls, memory: ReadOnlyConversationTokenDBBufferSharedMemory,
max_token_limit: int) -> \
List[BaseMessage]:
str:
"""Get memory messages."""
memory.max_token_limit = max_token_limit
memory_key = memory.memory_variables[0]
......@@ -286,7 +323,7 @@ If you don't know the answer, just say that you don't know, don't try to make up
)
# get llm prompt
original_prompt = cls.get_main_llm_prompt(
original_prompt, _ = cls.get_main_llm_prompt(
mode="completion",
llm=llm,
pre_prompt=pre_prompt,
......
api/core/conversation_message_task.py
View file @ 201d9943
......@@ -56,6 +56,9 @@ class ConversationMessageTask:
)
def init(self):
provider_name = LLMBuilder.get_default_provider(self.app.tenant_id)
self.model_dict['provider'] = provider_name
override_model_configs = None
if self.is_override:
override_model_configs = {
......@@ -281,6 +284,9 @@ class PubHandler:
@classmethod
def generate_channel_name(cls, user: Union[Account | EndUser], task_id: str):
if not user:
raise ValueError("user is required")
user_str = 'account-' + user.id if isinstance(user, Account) else 'end-user-' + user.id
return "generate_result:{}-{}".format(user_str, task_id)
......
api/core/embedding/openai_embedding.py
View file @ 201d9943
......@@ -11,9 +11,10 @@ from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_except
@retry(reraise=True, wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def get_embedding(
text: str,
engine: Optional[str] = None,
openai_api_key: Optional[str] = None,
text: str,
engine: Optional[str] = None,
api_key: Optional[str] = None,
**kwargs
) -> List[float]:
"""Get embedding.
......@@ -25,11 +26,12 @@ def get_embedding(
"""
text = text.replace("\n", " ")
return openai.Embedding.create(input=[text], engine=engine, api_key=openai_api_key)["data"][0]["embedding"]
return openai.Embedding.create(input=[text], engine=engine, api_key=api_key, **kwargs)["data"][0]["embedding"]
@retry(reraise=True, wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
async def aget_embedding(text: str, engine: Optional[str] = None, openai_api_key: Optional[str] = None) -> List[float]:
async def aget_embedding(text: str, engine: Optional[str] = None, api_key: Optional[str] = None, **kwargs) -> List[
float]:
"""Asynchronously get embedding.
NOTE: Copied from OpenAI's embedding utils:
......@@ -42,16 +44,17 @@ async def aget_embedding(text: str, engine: Optional[str] = None, openai_api_key
# replace newlines, which can negatively affect performance.
text = text.replace("\n", " ")
return (await openai.Embedding.acreate(input=[text], engine=engine, api_key=openai_api_key))["data"][0][
return (await openai.Embedding.acreate(input=[text], engine=engine, api_key=api_key, **kwargs))["data"][0][
"embedding"
]
@retry(reraise=True, wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def get_embeddings(
list_of_text: List[str],
engine: Optional[str] = None,
openai_api_key: Optional[str] = None
list_of_text: List[str],
engine: Optional[str] = None,
api_key: Optional[str] = None,
**kwargs
) -> List[List[float]]:
"""Get embeddings.
......@@ -67,14 +70,14 @@ def get_embeddings(
# replace newlines, which can negatively affect performance.
list_of_text = [text.replace("\n", " ") for text in list_of_text]
data = openai.Embedding.create(input=list_of_text, engine=engine, api_key=openai_api_key).data
data = openai.Embedding.create(input=list_of_text, engine=engine, api_key=api_key, **kwargs).data
data = sorted(data, key=lambda x: x["index"]) # maintain the same order as input.
return [d["embedding"] for d in data]
@retry(reraise=True, wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
async def aget_embeddings(
list_of_text: List[str], engine: Optional[str] = None, openai_api_key: Optional[str] = None
list_of_text: List[str], engine: Optional[str] = None, api_key: Optional[str] = None, **kwargs
) -> List[List[float]]:
"""Asynchronously get embeddings.
......@@ -90,7 +93,7 @@ async def aget_embeddings(
# replace newlines, which can negatively affect performance.
list_of_text = [text.replace("\n", " ") for text in list_of_text]
data = (await openai.Embedding.acreate(input=list_of_text, engine=engine, api_key=openai_api_key)).data
data = (await openai.Embedding.acreate(input=list_of_text, engine=engine, api_key=api_key, **kwargs)).data
data = sorted(data, key=lambda x: x["index"]) # maintain the same order as input.
return [d["embedding"] for d in data]
......@@ -98,19 +101,30 @@ async def aget_embeddings(
class OpenAIEmbedding(BaseEmbedding):
def __init__(
self,
mode: str = OpenAIEmbeddingMode.TEXT_SEARCH_MODE,
model: str = OpenAIEmbeddingModelType.TEXT_EMBED_ADA_002,
deployment_name: Optional[str] = None,
openai_api_key: Optional[str] = None,
**kwargs: Any,
self,
mode: str = OpenAIEmbeddingMode.TEXT_SEARCH_MODE,
model: str = OpenAIEmbeddingModelType.TEXT_EMBED_ADA_002,
deployment_name: Optional[str] = None,
openai_api_key: Optional[str] = None,
**kwargs: Any,
) -> None:
"""Init params."""
super().__init__(**kwargs)
new_kwargs = {}
if 'embed_batch_size' in kwargs:
new_kwargs['embed_batch_size'] = kwargs['embed_batch_size']
if 'tokenizer' in kwargs:
new_kwargs['tokenizer'] = kwargs['tokenizer']
super().__init__(**new_kwargs)
self.mode = OpenAIEmbeddingMode(mode)
self.model = OpenAIEmbeddingModelType(model)
self.deployment_name = deployment_name
self.openai_api_key = openai_api_key
self.openai_api_type = kwargs.get('openai_api_type')
self.openai_api_version = kwargs.get('openai_api_version')
self.openai_api_base = kwargs.get('openai_api_base')
@handle_llm_exceptions
def _get_query_embedding(self, query: str) -> List[float]:
......@@ -122,7 +136,9 @@ class OpenAIEmbedding(BaseEmbedding):
if key not in _QUERY_MODE_MODEL_DICT:
raise ValueError(f"Invalid mode, model combination: {key}")
engine = _QUERY_MODE_MODEL_DICT[key]
return get_embedding(query, engine=engine, openai_api_key=self.openai_api_key)
return get_embedding(query, engine=engine, api_key=self.openai_api_key,
api_type=self.openai_api_type, api_version=self.openai_api_version,
api_base=self.openai_api_base)
def _get_text_embedding(self, text: str) -> List[float]:
"""Get text embedding."""
......@@ -133,7 +149,9 @@ class OpenAIEmbedding(BaseEmbedding):
if key not in _TEXT_MODE_MODEL_DICT:
raise ValueError(f"Invalid mode, model combination: {key}")
engine = _TEXT_MODE_MODEL_DICT[key]
return get_embedding(text, engine=engine, openai_api_key=self.openai_api_key)
return get_embedding(text, engine=engine, api_key=self.openai_api_key,
api_type=self.openai_api_type, api_version=self.openai_api_version,
api_base=self.openai_api_base)
async def _aget_text_embedding(self, text: str) -> List[float]:
"""Asynchronously get text embedding."""
......@@ -144,7 +162,9 @@ class OpenAIEmbedding(BaseEmbedding):
if key not in _TEXT_MODE_MODEL_DICT:
raise ValueError(f"Invalid mode, model combination: {key}")
engine = _TEXT_MODE_MODEL_DICT[key]
return await aget_embedding(text, engine=engine, openai_api_key=self.openai_api_key)
return await aget_embedding(text, engine=engine, api_key=self.openai_api_key,
api_type=self.openai_api_type, api_version=self.openai_api_version,
api_base=self.openai_api_base)
def _get_text_embeddings(self, texts: List[str]) -> List[List[float]]:
"""Get text embeddings.
......@@ -160,7 +180,9 @@ class OpenAIEmbedding(BaseEmbedding):
if key not in _TEXT_MODE_MODEL_DICT:
raise ValueError(f"Invalid mode, model combination: {key}")
engine = _TEXT_MODE_MODEL_DICT[key]
embeddings = get_embeddings(texts, engine=engine, openai_api_key=self.openai_api_key)
embeddings = get_embeddings(texts, engine=engine, api_key=self.openai_api_key,
api_type=self.openai_api_type, api_version=self.openai_api_version,
api_base=self.openai_api_base)
return embeddings
async def _aget_text_embeddings(self, texts: List[str]) -> List[List[float]]:
......@@ -172,5 +194,7 @@ class OpenAIEmbedding(BaseEmbedding):
if key not in _TEXT_MODE_MODEL_DICT:
raise ValueError(f"Invalid mode, model combination: {key}")
engine = _TEXT_MODE_MODEL_DICT[key]
embeddings = await aget_embeddings(texts, engine=engine, openai_api_key=self.openai_api_key)
embeddings = await aget_embeddings(texts, engine=engine, api_key=self.openai_api_key,
api_type=self.openai_api_type, api_version=self.openai_api_version,
api_base=self.openai_api_base)
return embeddings
api/core/index/index_builder.py
View file @ 201d9943
......@@ -33,8 +33,11 @@ class IndexBuilder:
max_chunk_overlap=20
)
provider = LLMBuilder.get_default_provider(tenant_id)
model_credentials = LLMBuilder.get_model_credentials(
tenant_id=tenant_id,
model_provider=provider,
model_name='text-embedding-ada-002'
)
......@@ -43,3 +46,15 @@ class IndexBuilder:
prompt_helper=prompt_helper,
embed_model=OpenAIEmbedding(**model_credentials),
)
@classmethod
def get_fake_llm_service_context(cls, tenant_id: str) -> ServiceContext:
llm = LLMBuilder.to_llm(
tenant_id=tenant_id,
model_name='fake'
)
return ServiceContext.from_defaults(
llm_predictor=LLMPredictor(llm=llm),
embed_model=OpenAIEmbedding()
)
api/core/index/vector_index.py
View file @ 201d9943
......@@ -83,7 +83,7 @@ class VectorIndex:
if not self._dataset.index_struct_dict:
return
service_context = IndexBuilder.get_default_service_context(tenant_id=self._dataset.tenant_id)
service_context = IndexBuilder.get_fake_llm_service_context(tenant_id=self._dataset.tenant_id)
index = vector_store.get_index(
service_context=service_context,
......@@ -101,7 +101,7 @@ class VectorIndex:
if not self._dataset.index_struct_dict:
return
service_context = IndexBuilder.get_default_service_context(tenant_id=self._dataset.tenant_id)
service_context = IndexBuilder.get_fake_llm_service_context(tenant_id=self._dataset.tenant_id)
index = vector_store.get_index(
service_context=service_context,
......
api/core/indexing_runner.py
View file @ 201d9943
......@@ -400,7 +400,7 @@ class IndexingRunner:
# parse document to nodes
nodes = node_parser.get_nodes_from_documents([text_doc])
nodes = [node for node in nodes if node.text is not None and node.text.strip()]
all_nodes.extend(nodes)
return all_nodes
......
api/core/llm/llm_builder.py
View file @ 201d9943
......@@ -4,9 +4,14 @@ from langchain.callbacks import CallbackManager
from langchain.llms.fake import FakeListLLM
from core.constant import llm_constant
from core.llm.error import ProviderTokenNotInitError
from core.llm.provider.base import BaseProvider
from core.llm.provider.llm_provider_service import LLMProviderService
from core.llm.streamable_azure_chat_open_ai import StreamableAzureChatOpenAI
from core.llm.streamable_azure_open_ai import StreamableAzureOpenAI
from core.llm.streamable_chat_open_ai import StreamableChatOpenAI
from core.llm.streamable_open_ai import StreamableOpenAI
from models.provider import ProviderType
class LLMBuilder:
......@@ -31,16 +36,23 @@ class LLMBuilder:
if model_name == 'fake':
return FakeListLLM(responses=[])
provider = cls.get_default_provider(tenant_id)
mode = cls.get_mode_by_model(model_name)
if mode == 'chat':
# llm_cls = StreamableAzureChatOpenAI
llm_cls = StreamableChatOpenAI
if provider == 'openai':
llm_cls = StreamableChatOpenAI
else:
llm_cls = StreamableAzureChatOpenAI
elif mode == 'completion':
llm_cls = StreamableOpenAI
if provider == 'openai':
llm_cls = StreamableOpenAI
else:
llm_cls = StreamableAzureOpenAI
else:
raise ValueError(f"model name {model_name} is not supported.")
model_credentials = cls.get_model_credentials(tenant_id, model_name)
model_credentials = cls.get_model_credentials(tenant_id, provider, model_name)
return llm_cls(
model_name=model_name,
......@@ -86,18 +98,31 @@ class LLMBuilder:
raise ValueError(f"model name {model_name} is not supported.")
@classmethod
def get_model_credentials(cls, tenant_id: str, model_name: str) -> dict:
def get_model_credentials(cls, tenant_id: str, model_provider: str, model_name: str) -> dict:
"""
Returns the API credentials for the given tenant_id and model_name, based on the model's provider.
Raises an exception if the model_name is not found or if the provider is not found.
"""
if not model_name:
raise Exception('model name not found')
#
# if model_name not in llm_constant.models:
# raise Exception('model {} not found'.format(model_name))
if model_name not in llm_constant.models:
raise Exception('model {} not found'.format(model_name))
model_provider = llm_constant.models[model_name]
# model_provider = llm_constant.models[model_name]
provider_service = LLMProviderService(tenant_id=tenant_id, provider_name=model_provider)
return provider_service.get_credentials(model_name)
@classmethod
def get_default_provider(cls, tenant_id: str) -> str:
provider = BaseProvider.get_valid_provider(tenant_id)
if not provider:
raise ProviderTokenNotInitError()
if provider.provider_type == ProviderType.SYSTEM.value:
provider_name = 'openai'
else:
provider_name = provider.provider_name
return provider_name
api/core/llm/provider/azure_provider.py
View file @ 201d9943
import json
import logging
from typing import Optional, Union
import requests
from core.llm.provider.base import BaseProvider
from core.llm.provider.errors import ValidateFailedError
from models.provider import ProviderName
class AzureProvider(BaseProvider):
def get_models(self, model_id: Optional[str] = None) -> list[dict]:
credentials = self.get_credentials(model_id)
def get_models(self, model_id: Optional[str] = None, credentials: Optional[dict] = None) -> list[dict]:
credentials = self.get_credentials(model_id) if not credentials else credentials
url = "{}/openai/deployments?api-version={}".format(
credentials.get('openai_api_base'),
credentials.get('openai_api_version')
str(credentials.get('openai_api_base')),
str(credentials.get('openai_api_version'))
)
headers = {
"api-key": credentials.get('openai_api_key'),
"api-key": str(credentials.get('openai_api_key')),
"content-type": "application/json; charset=utf-8"
}
......@@ -29,17 +31,18 @@ class AzureProvider(BaseProvider):
'name': '{} ({})'.format(deployment['id'], deployment['model'])
} for deployment in result['data'] if deployment['status'] == 'succeeded']
else:
# TODO: optimize in future
raise Exception('Failed to get deployments from Azure OpenAI. Status code: {}'.format(response.status_code))
if response.status_code == 401:
raise AzureAuthenticationError()
else:
raise AzureRequestFailedError('Failed to request Azure OpenAI. Status code: {}'.format(response.status_code))
def get_credentials(self, model_id: Optional[str] = None) -> dict:
"""
Returns the API credentials for Azure OpenAI as a dictionary.
"""
encrypted_config = self.get_provider_api_key(model_id=model_id)
config = json.loads(encrypted_config)
config = self.get_provider_api_key(model_id=model_id)
config['openai_api_type'] = 'azure'
config['deployment_name'] = model_id
config['deployment_name'] = model_id.replace('.', '') if model_id else None
return config
def get_provider_name(self):
......@@ -51,12 +54,11 @@ class AzureProvider(BaseProvider):
"""
try:
config = self.get_provider_api_key()
config = json.loads(config)
except:
config = {
'openai_api_type': 'azure',
'openai_api_version': '2023-03-15-preview',
'openai_api_base': 'https://foo.microsoft.com/bar',
'openai_api_base': '',
'openai_api_key': ''
}
......@@ -65,7 +67,7 @@ class AzureProvider(BaseProvider):
config = {
'openai_api_type': 'azure',
'openai_api_version': '2023-03-15-preview',
'openai_api_base': 'https://foo.microsoft.com/bar',
'openai_api_base': '',
'openai_api_key': ''
}
......@@ -76,14 +78,47 @@ class AzureProvider(BaseProvider):
def get_token_type(self):
# TODO: change to dict when implemented
return lambda value: value
return dict
def config_validate(self, config: Union[dict | str]):
"""
Validates the given config.
"""
# TODO: implement
pass
try:
if not isinstance(config, dict):
raise ValueError('Config must be a object.')
if 'openai_api_version' not in config:
config['openai_api_version'] = '2023-03-15-preview'
models = self.get_models(credentials=config)
if not models:
raise ValidateFailedError("Please add deployments for 'text-davinci-003', "
"'gpt-3.5-turbo', 'text-embedding-ada-002'.")
fixed_model_ids = [
'text-davinci-003',
'gpt-35-turbo',
'text-embedding-ada-002'
]
current_model_ids = [model['id'] for model in models]
missing_model_ids = [fixed_model_id for fixed_model_id in fixed_model_ids if
fixed_model_id not in current_model_ids]
if missing_model_ids:
raise ValidateFailedError("Please add deployments for '{}'.".format(", ".join(missing_model_ids)))
except AzureAuthenticationError:
raise ValidateFailedError('Validation failed, please check your API Key.')
except (requests.ConnectionError, requests.RequestException):
raise ValidateFailedError('Validation failed, please check your API Base Endpoint.')
except AzureRequestFailedError as ex:
raise ValidateFailedError('Validation failed, error: {}.'.format(str(ex)))
except Exception as ex:
logging.exception('Azure OpenAI Credentials validation failed')
raise ValidateFailedError('Validation failed, error: {}.'.format(str(ex)))
def get_encrypted_token(self, config: Union[dict | str]):
"""
......@@ -103,3 +138,11 @@ class AzureProvider(BaseProvider):
config = json.loads(token)
config['openai_api_key'] = self.decrypt_token(config['openai_api_key'])
return config
class AzureAuthenticationError(Exception):
pass
class AzureRequestFailedError(Exception):
pass
api/core/llm/provider/base.py
View file @ 201d9943
......@@ -14,7 +14,7 @@ class BaseProvider(ABC):
def __init__(self, tenant_id: str):
self.tenant_id = tenant_id
def get_provider_api_key(self, model_id: Optional[str] = None, prefer_custom: bool = True) -> str:
def get_provider_api_key(self, model_id: Optional[str] = None, prefer_custom: bool = True) -> Union[str | dict]:
"""
Returns the decrypted API key for the given tenant_id and provider_name.
If the provider is of type SYSTEM and the quota is exceeded, raises a QuotaExceededError.
......@@ -43,23 +43,35 @@ class BaseProvider(ABC):
Returns the Provider instance for the given tenant_id and provider_name.
If both CUSTOM and System providers exist, the preferred provider will be returned based on the prefer_custom flag.
"""
providers = db.session.query(Provider).filter(
Provider.tenant_id == self.tenant_id,
Provider.provider_name == self.get_provider_name().value
).order_by(Provider.provider_type.desc() if prefer_custom else Provider.provider_type).all()
return BaseProvider.get_valid_provider(self.tenant_id, self.get_provider_name().value, prefer_custom)
@classmethod
def get_valid_provider(cls, tenant_id: str, provider_name: str = None, prefer_custom: bool = False) -> Optional[Provider]:
"""
Returns the Provider instance for the given tenant_id and provider_name.
If both CUSTOM and System providers exist, the preferred provider will be returned based on the prefer_custom flag.
"""
query = db.session.query(Provider).filter(
Provider.tenant_id == tenant_id
)
if provider_name:
query = query.filter(Provider.provider_name == provider_name)
providers = query.order_by(Provider.provider_type.desc() if prefer_custom else Provider.provider_type).all()
custom_provider = None
system_provider = None
for provider in providers:
if provider.provider_type == ProviderType.CUSTOM.value:
if provider.provider_type == ProviderType.CUSTOM.value and provider.is_valid and provider.encrypted_config:
custom_provider = provider
elif provider.provider_type == ProviderType.SYSTEM.value:
elif provider.provider_type == ProviderType.SYSTEM.value and provider.is_valid:
system_provider = provider
if custom_provider and custom_provider.is_valid and custom_provider.encrypted_config:
if custom_provider:
return custom_provider
elif system_provider and system_provider.is_valid:
elif system_provider:
return system_provider
else:
return None
......@@ -80,7 +92,7 @@ class BaseProvider(ABC):
try:
config = self.get_provider_api_key()
except:
config = 'THIS-IS-A-MOCK-TOKEN'
config = ''
if obfuscated:
return self.obfuscated_token(config)
......
api/core/llm/streamable_azure_chat_open_ai.py
View file @ 201d9943
import requests
from langchain.schema import BaseMessage, ChatResult, LLMResult
from langchain.chat_models import AzureChatOpenAI
from typing import Optional, List
from typing import Optional, List, Dict, Any
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
class StreamableAzureChatOpenAI(AzureChatOpenAI):
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
try:
import openai
except ImportError:
raise ValueError(
"Could not import openai python package. "
"Please install it with `pip install openai`."
)
try:
values["client"] = openai.ChatCompletion
except AttributeError:
raise ValueError(
"`openai` has no `ChatCompletion` attribute, this is likely "
"due to an old version of the openai package. Try upgrading it "
"with `pip install --upgrade openai`."
)
if values["n"] < 1:
raise ValueError("n must be at least 1.")
if values["n"] > 1 and values["streaming"]:
raise ValueError("n must be 1 when streaming.")
return values
@property
def _default_params(self) -> Dict[str, Any]:
"""Get the default parameters for calling OpenAI API."""
return {
**super()._default_params,
"engine": self.deployment_name,
"api_type": self.openai_api_type,
"api_base": self.openai_api_base,
"api_version": self.openai_api_version,
"api_key": self.openai_api_key,
"organization": self.openai_organization if self.openai_organization else None,
}
def get_messages_tokens(self, messages: List[BaseMessage]) -> int:
"""Get the number of tokens in a list of messages.
......
api/core/llm/streamable_azure_open_ai.py 0 → 100644
View file @ 201d9943
import os
from langchain.llms import AzureOpenAI
from langchain.schema import LLMResult
from typing import Optional, List, Dict, Mapping, Any
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
class StreamableAzureOpenAI(AzureOpenAI):
openai_api_type: str = "azure"
openai_api_version: str = ""
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
try:
import openai
values["client"] = openai.Completion
except ImportError:
raise ValueError(
"Could not import openai python package. "
"Please install it with `pip install openai`."
)
if values["streaming"] and values["n"] > 1:
raise ValueError("Cannot stream results when n > 1.")
if values["streaming"] and values["best_of"] > 1:
raise ValueError("Cannot stream results when best_of > 1.")
return values
@property
def _invocation_params(self) -> Dict[str, Any]:
return {**super()._invocation_params, **{
"api_type": self.openai_api_type,
"api_base": self.openai_api_base,
"api_version": self.openai_api_version,
"api_key": self.openai_api_key,
"organization": self.openai_organization if self.openai_organization else None,
}}
@property
def _identifying_params(self) -> Mapping[str, Any]:
return {**super()._identifying_params, **{
"api_type": self.openai_api_type,
"api_base": self.openai_api_base,
"api_version": self.openai_api_version,
"api_key": self.openai_api_key,
"organization": self.openai_organization if self.openai_organization else None,
}}
@handle_llm_exceptions
def generate(
self, prompts: List[str], stop: Optional[List[str]] = None
) -> LLMResult:
return super().generate(prompts, stop)
@handle_llm_exceptions_async
async def agenerate(
self, prompts: List[str], stop: Optional[List[str]] = None
) -> LLMResult:
return await super().agenerate(prompts, stop)
api/core/llm/streamable_chat_open_ai.py
View file @ 201d9943
import os
from langchain.schema import BaseMessage, ChatResult, LLMResult
from langchain.chat_models import ChatOpenAI
from typing import Optional, List
from typing import Optional, List, Dict, Any
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
class StreamableChatOpenAI(ChatOpenAI):
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
try:
import openai
except ImportError:
raise ValueError(
"Could not import openai python package. "
"Please install it with `pip install openai`."
)
try:
values["client"] = openai.ChatCompletion
except AttributeError:
raise ValueError(
"`openai` has no `ChatCompletion` attribute, this is likely "
"due to an old version of the openai package. Try upgrading it "
"with `pip install --upgrade openai`."
)
if values["n"] < 1:
raise ValueError("n must be at least 1.")
if values["n"] > 1 and values["streaming"]:
raise ValueError("n must be 1 when streaming.")
return values
@property
def _default_params(self) -> Dict[str, Any]:
"""Get the default parameters for calling OpenAI API."""
return {
**super()._default_params,
"api_type": 'openai',
"api_base": os.environ.get("OPENAI_API_BASE", "https://api.openai.com/v1"),
"api_version": None,
"api_key": self.openai_api_key,
"organization": self.openai_organization if self.openai_organization else None,
}
def get_messages_tokens(self, messages: List[BaseMessage]) -> int:
"""Get the number of tokens in a list of messages.
......
api/core/llm/streamable_open_ai.py
View file @ 201d9943
import os
from langchain.schema import LLMResult
from typing import Optional, List
from typing import Optional, List, Dict, Any, Mapping
from langchain import OpenAI
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
class StreamableOpenAI(OpenAI):
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
try:
import openai
values["client"] = openai.Completion
except ImportError:
raise ValueError(
"Could not import openai python package. "
"Please install it with `pip install openai`."
)
if values["streaming"] and values["n"] > 1:
raise ValueError("Cannot stream results when n > 1.")
if values["streaming"] and values["best_of"] > 1:
raise ValueError("Cannot stream results when best_of > 1.")
return values
@property
def _invocation_params(self) -> Dict[str, Any]:
return {**super()._invocation_params, **{
"api_type": 'openai',
"api_base": os.environ.get("OPENAI_API_BASE", "https://api.openai.com/v1"),
"api_version": None,
"api_key": self.openai_api_key,
"organization": self.openai_organization if self.openai_organization else None,
}}
@property
def _identifying_params(self) -> Mapping[str, Any]:
return {**super()._identifying_params, **{
"api_type": 'openai',
"api_base": os.environ.get("OPENAI_API_BASE", "https://api.openai.com/v1"),
"api_version": None,
"api_key": self.openai_api_key,
"organization": self.openai_organization if self.openai_organization else None,
}}
@handle_llm_exceptions
def generate(
self, prompts: List[str], stop: Optional[List[str]] = None
......
api/core/vector_store/weaviate_vector_store_client.py
View file @ 201d9943
......@@ -29,7 +29,7 @@ class WeaviateVectorStoreClient(BaseVectorStoreClient):
return weaviate.Client(
url=endpoint,
auth_client_secret=auth_config,
timeout_config=(5, 15),
timeout_config=(5, 60),
startup_period=None
)
......
api/extensions/ext_celery.py
View file @ 201d9943
......@@ -15,9 +15,24 @@ def init_app(app: Flask) -> Celery:
backend=app.config["CELERY_BACKEND"],
task_ignore_result=True,
)
# Add SSL options to the Celery configuration
ssl_options = {
"ssl_cert_reqs": None,
"ssl_ca_certs": None,
"ssl_certfile": None,
"ssl_keyfile": None,
}
celery_app.conf.update(
result_backend=app.config["CELERY_RESULT_BACKEND"],
)
if app.config["BROKER_USE_SSL"]:
celery_app.conf.update(
broker_use_ssl=ssl_options, # Add the SSL options to the broker configuration
)
celery_app.set_default()
app.extensions["celery"] = celery_app
return celery_app
api/extensions/ext_redis.py
View file @ 201d9943
import redis
from redis.connection import SSLConnection, Connection
redis_client = redis.Redis()
def init_app(app):
connection_class = Connection
if app.config.get('REDIS_USE_SSL', False):
connection_class = SSLConnection
redis_client.connection_pool = redis.ConnectionPool(**{
'host': app.config.get('REDIS_HOST', 'localhost'),
'port': app.config.get('REDIS_PORT', 6379),
'username': app.config.get('REDIS_USERNAME', None),
'password': app.config.get('REDIS_PASSWORD', None),
'db': app.config.get('REDIS_DB', 0),
'encoding': 'utf-8',
'encoding_errors': 'strict',
'decode_responses': False
})
}, connection_class=connection_class)
app.extensions['redis'] = redis_client
api/extensions/ext_session.py
View file @ 201d9943
import redis
from redis.connection import SSLConnection, Connection
from flask import request
from flask_session import Session, SqlAlchemySessionInterface, RedisSessionInterface
from flask_session.sessions import total_seconds
......@@ -23,16 +24,21 @@ def init_app(app):
if session_type == 'sqlalchemy':
app.session_interface = sqlalchemy_session_interface
elif session_type == 'redis':
connection_class = Connection
if app.config.get('SESSION_REDIS_USE_SSL', False):
connection_class = SSLConnection
sess_redis_client = redis.Redis()
sess_redis_client.connection_pool = redis.ConnectionPool(**{
'host': app.config.get('SESSION_REDIS_HOST', 'localhost'),
'port': app.config.get('SESSION_REDIS_PORT', 6379),
'username': app.config.get('SESSION_REDIS_USERNAME', None),
'password': app.config.get('SESSION_REDIS_PASSWORD', None),
'db': app.config.get('SESSION_REDIS_DB', 2),
'encoding': 'utf-8',
'encoding_errors': 'strict',
'decode_responses': False
})
}, connection_class=connection_class)
app.extensions['session_redis'] = sess_redis_client
......
api/libs/helper.py
View file @ 201d9943
......@@ -21,7 +21,7 @@ class TimestampField(fields.Raw):
def email(email):
# Define a regex pattern for email addresses
pattern = r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$"
pattern = r"^[\w\.-]+@([\w-]+\.)+[\w-]{2,}$"
# Check if the email matches the pattern
if re.match(pattern, email) is not None:
return email
......
api/services/dataset_service.py
View file @ 201d9943
......@@ -18,6 +18,7 @@ from services.errors.account import NoPermissionError
from services.errors.dataset import DatasetNameDuplicateError
from services.errors.document import DocumentIndexingError
from services.errors.file import FileNotExistsError
from tasks.deal_dataset_vector_index_task import deal_dataset_vector_index_task
from tasks.document_indexing_task import document_indexing_task
......@@ -97,7 +98,12 @@ class DatasetService:
def update_dataset(dataset_id, data, user):
dataset = DatasetService.get_dataset(dataset_id)
DatasetService.check_dataset_permission(dataset, user)
if dataset.indexing_technique != data['indexing_technique']:
# if update indexing_technique
if data['indexing_technique'] == 'economy':
deal_dataset_vector_index_task.delay(dataset_id, 'remove')
elif data['indexing_technique'] == 'high_quality':
deal_dataset_vector_index_task.delay(dataset_id, 'add')
filtered_data = {k: v for k, v in data.items() if v is not None or k == 'description'}
filtered_data['updated_by'] = user.id
......
api/services/provider_service.py
View file @ 201d9943
......@@ -62,6 +62,8 @@ class ProviderService:
@staticmethod
def validate_provider_configs(tenant, provider_name: ProviderName, configs: Union[dict | str]):
if current_app.config['DISABLE_PROVIDER_CONFIG_VALIDATION']:
return
llm_provider_service = LLMProviderService(tenant.id, provider_name.value)
return llm_provider_service.config_validate(configs)
......
api/tasks/deal_dataset_vector_index_task.py 0 → 100644
View file @ 201d9943
import logging
import time
import click
from celery import shared_task
from llama_index.data_structs.node_v2 import DocumentRelationship, Node
from core.index.vector_index import VectorIndex
from extensions.ext_database import db
from models.dataset import DocumentSegment, Document, Dataset
@shared_task
def deal_dataset_vector_index_task(dataset_id: str, action: str):
"""
Async deal dataset from index
:param dataset_id: dataset_id
:param action: action
Usage: deal_dataset_vector_index_task.delay(dataset_id, action)
"""
logging.info(click.style('Start deal dataset vector index: {}'.format(dataset_id), fg='green'))
start_at = time.perf_counter()
try:
dataset = Dataset.query.filter_by(
id=dataset_id
).first()
if not dataset:
raise Exception('Dataset not found')
documents = Document.query.filter_by(dataset_id=dataset_id).all()
if documents:
vector_index = VectorIndex(dataset=dataset)
for document in documents:
# delete from vector index
if action == "remove":
vector_index.del_doc(document.id)
elif action == "add":
segments = db.session.query(DocumentSegment).filter(
DocumentSegment.document_id == document.id,
DocumentSegment.enabled == True
) .order_by(DocumentSegment.position.asc()).all()
nodes = []
previous_node = None
for segment in segments:
relationships = {
DocumentRelationship.SOURCE: document.id
}
if previous_node:
relationships[DocumentRelationship.PREVIOUS] = previous_node.doc_id
previous_node.relationships[DocumentRelationship.NEXT] = segment.index_node_id
node = Node(
doc_id=segment.index_node_id,
doc_hash=segment.index_node_hash,
text=segment.content,
extra_info=None,
node_info=None,
relationships=relationships
)
previous_node = node
nodes.append(node)
# save vector index
vector_index.add_nodes(
nodes=nodes,
duplicate_check=True
)
end_at = time.perf_counter()
logging.info(
click.style('Deal dataset vector index: {} latency: {}'.format(dataset_id, end_at - start_at), fg='green'))
except Exception:
logging.exception("Deal dataset vector index failed")
docker/docker-compose.yaml
View file @ 201d9943
......@@ -36,14 +36,18 @@ services:
# It is consistent with the configuration in the 'redis' service below.
REDIS_HOST: redis
REDIS_PORT: 6379
REDIS_USERNAME: ''
REDIS_PASSWORD: difyai123456
REDIS_USE_SSL: 'false'
# use redis db 0 for redis cache
REDIS_DB: 0
# The configurations of session, Supported values are `sqlalchemy`. `redis`
SESSION_TYPE: redis
SESSION_REDIS_HOST: redis
SESSION_REDIS_PORT: 6379
SESSION_REDIS_USERNAME: ''
SESSION_REDIS_PASSWORD: difyai123456
SESSION_REDIS_USE_SSL: 'false'
# use redis db 2 for session store
SESSION_REDIS_DB: 2
# The configurations of celery broker.
......@@ -129,8 +133,10 @@ services:
# The configurations of redis cache connection.
REDIS_HOST: redis
REDIS_PORT: 6379
REDIS_USERNAME: ''
REDIS_PASSWORD: difyai123456
REDIS_DB: 0
REDIS_USE_SSL: 'false'
# The configurations of celery broker.
CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
# The type of storage to use for storing user files. Supported values are `local` and `s3`, Default: `local`
......
mock-server/.gitignore deleted 100644 → 0
View file @ 3a98c636
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
*.lcov
# nyc test coverage
.nyc_output
# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# TypeScript v1 declaration files
typings/
# TypeScript cache
*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Microbundle cache
.rpt2_cache/
.rts2_cache_cjs/
.rts2_cache_es/
.rts2_cache_umd/
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variables file
.env
.env.test
# parcel-bundler cache (https://parceljs.org/)
.cache
# Next.js build output
.next
# Nuxt.js build / generate output
.nuxt
dist
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and *not* Next.js
# https://nextjs.org/blog/next-9-1#public-directory-support
# public
# vuepress build output
.vuepress/dist
# Serverless directories
.serverless/
# FuseBox cache
.fusebox/
# DynamoDB Local files
.dynamodb/
# TernJS port file
.tern-port
# npm
package-lock.json
# yarn
.pnp.cjs
.pnp.loader.mjs
.yarn/
yarn.lock
.yarnrc.yml
# pmpm
pnpm-lock.yaml
\ No newline at end of file
mock-server/api/apps.js deleted 100644 → 0
View file @ 3a98c636
This diff is collapsed.
mock-server/api/common.js deleted 100644 → 0
View file @ 3a98c636
const registerAPI = function (app) {
app.post('/login', async (req, res) => {
res.send({
result: 'success'
})
})
// get user info
app.get('/account/profile', async (req, res) => {
res.send({
id: '11122222',
name: 'Joel',
email: 'iamjoel007@gmail.com'
})
})
// logout
app.get('/logout', async (req, res) => {
res.send({
result: 'success'
})
})
// Langgenius version
app.get('/version', async (req, res) => {
res.send({
current_version: 'v1.0.0',
latest_version: 'v1.0.0',
upgradeable: true,
compatible_upgrade: true
})
})
}
module.exports = registerAPI
mock-server/api/datasets.js deleted 100644 → 0
View file @ 3a98c636
const registerAPI = function (app) {
app.get("/datasets/:id/documents", async (req, res) => {
if (req.params.id === "0") res.send({ data: [] });
else {
res.send({
data: [
{
id: 1,
name: "Steve Jobs' life",
words: "70k",
word_count: 100,
updated_at: 1681801029,
indexing_status: "completed",
archived: true,
enabled: false,
data_source_info: {
upload_file: {
// id: string
// name: string
// size: number
// mime_type: string
// created_at: number
// created_by: string
extension: "pdf",
},
},
},
{
id: 2,
name: "Steve Jobs' life",
word_count: "10k",
hit_count: 10,
updated_at: 1681801029,
indexing_status: "waiting",
archived: true,
enabled: false,
data_source_info: {
upload_file: {
extension: "json",
},
},
},
{
id: 3,
name: "Steve Jobs' life xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
word_count: "100k",
hit_count: 0,
updated_at: 1681801029,
indexing_status: "indexing",
archived: false,
enabled: true,
data_source_info: {
upload_file: {
extension: "txt",
},
},
},
{
id: 4,
name: "Steve Jobs' life xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
word_count: "100k",
hit_count: 0,
updated_at: 1681801029,
indexing_status: "splitting",
archived: false,
enabled: true,
data_source_info: {
upload_file: {
extension: "md",
},
},
},
{
id: 5,
name: "Steve Jobs' life",
word_count: "100k",
hit_count: 0,
updated_at: 1681801029,
indexing_status: "error",
archived: false,
enabled: false,
data_source_info: {
upload_file: {
extension: "html",
},
},
},
],
total: 100,
id: req.params.id,
});
}
});
app.get("/datasets/:id/documents/:did/segments", async (req, res) => {
if (req.params.id === "0") res.send({ data: [] });
else {
res.send({
data: new Array(100).fill({
id: 1234,
content: `他的坚持让我很为难。众所周知他非常注意保护自己的隐私，而我想他应该从来没有看过我写的书。也许将来的某个时候吧，我还是这么说。但是，到了2009年，他的妻子劳伦·鲍威尔（Laurene Powell）直言不讳地对我说：“如果你真的打算写一本关于史蒂夫的书，最好现在就开始。”他当时刚刚第二次因病休假。我向劳伦坦承，当乔布斯第一次提出这个想法时，我并不知道他病了。几乎没有人知道，她说。他是在接受癌症手术之前给我打的电话，直到今天他还将此事作为一个秘密，她这么解释道。\n
他的坚持让我很为难。众所周知他非常注意保护自己的隐私，而我想他应该从来没有看过我写的书。也许将来的某个时候吧，我还是这么说。但是，到了2009年，他的妻子劳伦·鲍威尔（Laurene Powell）直言不讳地对我说：“如果你真的打算写一本关于史蒂夫的书，最好现在就开始。”他当时刚刚第二次因病休假。我向劳伦坦承，当乔布斯第一次提出这个想法时，我并不知道他病了。几乎没有人知道，她说。他是在接受癌症手术之前给我打的电话，直到今天他还将此事作为一个秘密，她这么解释道。`,
enabled: true,
keyWords: [
"劳伦·鲍威尔",
"劳伦·鲍威尔",
"手术",
"秘密",
"癌症",
"乔布斯",
"史蒂夫",
"书",
"休假",
"坚持",
"隐私",
],
word_count: 120,
hit_count: 100,
status: "ok",
index_node_hash: "index_node_hash value",
}),
limit: 100,
has_more: true,
});
}
});
// get doc detail
app.get("/datasets/:id/documents/:did", async (req, res) => {
const fixedParams = {
// originInfo: {
originalFilename: "Original filename",
originalFileSize: "16mb",
uploadDate: "2023-01-01",
lastUpdateDate: "2023-01-05",
source: "Source",
// },
// technicalParameters: {
segmentSpecification: "909090",
segmentLength: 100,
avgParagraphLength: 130,
};
const bookData = {
doc_type: "book",
doc_metadata: {
title: "机器学习实战",
language: "zh",
author: "Peter Harrington",
publisher: "人民邮电出版社",
publicationDate: "2013-01-01",
ISBN: "9787115335500",
category: "技术",
},
};
const webData = {
doc_type: "webPage",
doc_metadata: {
title: "深度学习入门教程",
url: "https://www.example.com/deep-learning-tutorial",
language: "zh",
publishDate: "2020-05-01",
authorPublisher: "张三",
topicsKeywords: "深度学习, 人工智能, 教程",
description:
"这是一篇详细的深度学习入门教程，适用于对人工智能和深度学习感兴趣的初学者。",
},
};
const postData = {
doc_type: "socialMediaPost",
doc_metadata: {
platform: "Twitter",
authorUsername: "example_user",
publishDate: "2021-08-15",
postURL: "https://twitter.com/example_user/status/1234567890",
topicsTags:
"AI, DeepLearning, Tutorial, Example, Example2, Example3, AI, DeepLearning, Tutorial, Example, Example2, Example3, AI, DeepLearning, Tutorial, Example, Example2, Example3,",
},
};
res.send({
id: "550e8400-e29b-41d4-a716-446655440000",
position: 1,
dataset_id: "550e8400-e29b-41d4-a716-446655440002",
data_source_type: "upload_file",
data_source_info: {
upload_file: {
extension: "html",
id: "550e8400-e29b-41d4-a716-446655440003",
},
},
dataset_process_rule_id: "550e8400-e29b-41d4-a716-446655440004",
batch: "20230410123456123456",
name: "example_document",
created_from: "web",
created_by: "550e8400-e29b-41d4-a716-446655440005",
created_api_request_id: "550e8400-e29b-41d4-a716-446655440006",
created_at: 1671269696,
processing_started_at: 1671269700,
word_count: 11,
parsing_completed_at: 1671269710,
cleaning_completed_at: 1671269720,
splitting_completed_at: 1671269730,
tokens: 10,
indexing_latency: 5.0,
completed_at: 1671269740,
paused_by: null,
paused_at: null,
error: null,
stopped_at: null,
indexing_status: "completed",
enabled: true,
disabled_at: null,
disabled_by: null,
archived: false,
archived_reason: null,
archived_by: null,
archived_at: null,
updated_at: 1671269740,
...(req.params.did === "book"
? bookData
: req.params.did === "web"
? webData
: req.params.did === "post"
? postData
: {}),
segment_count: 10,
hit_count: 9,
status: "ok",
});
});
// // logout
// app.get("/logout", async (req, res) => {
// res.send({
// result: "success",
// });
// });
// // Langgenius version
// app.get("/version", async (req, res) => {
// res.send({
// current_version: "v1.0.0",
// latest_version: "v1.0.0",
// upgradeable: true,
// compatible_upgrade: true,
// });
// });
};
module.exports = registerAPI;
mock-server/api/debug.js deleted 100644 → 0
View file @ 3a98c636
const registerAPI = function (app) {
const coversationList = [
{
id: '1',
name: '梦的解析',
inputs: {
book: '《梦的解析》',
callMe: '大师',
},
chats: []
},
{
id: '2',
name: '生命的起源',
inputs: {
book: '《x x x》',
}
},
]
// site info
app.get('/apps/site/info', async (req, res) => {
// const id = req.params.id
res.send({
enable_site: true,
appId: '1',
site: {
title: 'Story Bot',
description: '这是一款解梦聊天机器人，你可以选择你喜欢的解梦人进行解梦，这句话是客户端应用说明',
},
prompt_public: true, //id === '1',
prompt_template: '你是我的解梦小助手，请参考 {{book}} 回答我有关梦境的问题。在回答前请称呼我为 {{myName}}。',
})
})
app.post('/apps/:id/chat-messages', async (req, res) => {
const conversationId = req.body.conversation_id ? req.body.conversation_id : Date.now() + ''
res.send({
id: Date.now() + '',
conversation_id: Date.now() + '',
answer: 'balabababab'
})
})
app.post('/apps/:id/completion-messages', async (req, res) => {
res.send({
id: Date.now() + '',
answer: `做为一个AI助手，我可以为你提供随机生成的段落，这些段落可以用于测试、占位符、或者其他目的。以下是一个随机生成的段落：
“随着科技的不断发展，越来越多的人开始意识到人工智能的重要性。人工智能已经成为我们生活中不可或缺的一部分，它可以帮助我们完成很多繁琐的工作，也可以为我们提供更智能、更便捷的服务。虽然人工智能带来了很多好处，但它也面临着很多挑战。例如，人工智能的算法可能会出现偏见，导致对某些人群不公平。此外，人工智能的发展也可能会导致一些工作的失业。因此，我们需要不断地研究人工智能的发展，以确保它能够为人类带来更多的好处。”`
})
})
// share api
// chat list
app.get('/apps/:id/coversations', async (req, res) => {
res.send({
data: coversationList
})
})
app.get('/apps/:id/variables', async (req, res) => {
res.send({
variables: [
{
key: 'book',
name: '书',
value: '《梦境解析》',
type: 'string'
},
{
key: 'myName',
name: '称呼',
value: '',
type: 'string'
}
],
})
})
}
module.exports = registerAPI
// const chatList = [
// {
// id: 1,
// content: 'AI 开场白',
// isAnswer: true,
// },
// {
// id: 2,
// content: '梦见在山上手撕鬼子，大师解解梦',
// more: { time: '5.6 秒' },
// },
// {
// id: 3,
// content: '梦境通常是个人内心深处的反映，很难确定每个人梦境的确切含义，因为它们可能会受到梦境者的文化背景、生活经验和情感状态等多种因素的影响。',
// isAnswer: true,
// more: { time: '99 秒' },
// },
// {
// id: 4,
// content: '梦见在山上手撕鬼子，大师解解梦',
// more: { time: '5.6 秒' },
// },
// {
// id: 5,
// content: '梦见在山上手撕鬼子，大师解解梦',
// more: { time: '5.6 秒' },
// },
// {
// id: 6,
// content: '梦见在山上手撕鬼子，大师解解梦',
// more: { time: '5.6 秒' },
// },
// ]
\ No newline at end of file
mock-server/api/demo.js deleted 100644 → 0
View file @ 3a98c636
const registerAPI = function (app) {
app.get('/demo', async (req, res) => {
res.send({
des: 'get res'
})
})
app.post('/demo', async (req, res) => {
res.send({
des: 'post res'
})
})
}
module.exports = registerAPI
\ No newline at end of file
mock-server/app.js deleted 100644 → 0
View file @ 3a98c636
const express = require('express')
const app = express()
const bodyParser = require('body-parser')
var cors = require('cors')
const commonAPI = require('./api/common')
const demoAPI = require('./api/demo')
const appsApi = require('./api/apps')
const debugAPI = require('./api/debug')
const datasetsAPI = require('./api/datasets')
const port = 3001
app.use(bodyParser.json()) // for parsing application/json
app.use(bodyParser.urlencoded({ extended: true })) // for parsing application/x-www-form-urlencoded
const corsOptions = {
origin: true,
credentials: true,
}
app.use(cors(corsOptions)) // for cross origin
app.options('*', cors(corsOptions)) // include before other routes
demoAPI(app)
commonAPI(app)
appsApi(app)
debugAPI(app)
datasetsAPI(app)
app.get('/', (req, res) => {
res.send('rootpath')
})
app.listen(port, () => {
console.log(`Mock run on port ${port}`)
})
const sleep = (ms) => {
return new Promise(resolve => setTimeout(resolve, ms))
}
mock-server/package.json deleted 100644 → 0
View file @ 3a98c636
{
"name": "server",
"version": "1.0.0",
"description": "",
"main": "index.js",
"scripts": {
"dev": "nodemon node app.js",
"start": "node app.js",
"tcp": "node tcp.js"
},
"keywords": [],
"author": "",
"license": "MIT",
"engines": {
"node": ">=16.0.0"
},
"dependencies": {
"body-parser": "^1.20.2",
"cors": "^2.8.5",
"express": "4.18.2",
"express-jwt": "8.4.1"
},
"devDependencies": {
"nodemon": "2.0.21"
}
}
web/.env.example 0 → 100644
View file @ 201d9943
# For production release, change this to PRODUCTION
NEXT_PUBLIC_DEPLOY_ENV=DEVELOPMENT
# The deployment edition, SELF_HOSTED or CLOUD
NEXT_PUBLIC_EDITION=SELF_HOSTED
# The base URL of console application, refers to the Console base URL of WEB service if console domain is
# different from api or web app domain.
# example: http://cloud.dify.ai/console/api
NEXT_PUBLIC_API_PREFIX=http://localhost:5001/console/api
# The URL for Web APP, refers to the Web App base URL of WEB service if web app domain is different from
# console or api domain.
# example: http://udify.app/api
NEXT_PUBLIC_PUBLIC_API_PREFIX=http://localhost:5001/api
\ No newline at end of file
web/app/(commonLayout)/_layout-client.tsx
View file @ 201d9943
'use client'
import type { FC } from 'react'
import { FC, useRef } from 'react'
import React, { useEffect, useState } from 'react'
import { usePathname, useRouter, useSelectedLayoutSegments } from 'next/navigation'
import useSWR, { SWRConfig } from 'swr'
......@@ -8,7 +8,7 @@ import { fetchAppList } from '@/service/apps'
import { fetchDatasets } from '@/service/datasets'
import { fetchLanggeniusVersion, fetchUserProfile, logout } from '@/service/common'
import Loading from '@/app/components/base/loading'
import AppContext from '@/context/app-context'
import { AppContextProvider } from '@/context/app-context'
import DatasetsContext from '@/context/datasets-context'
import type { LangGeniusVersionResponse, UserProfileResponse } from '@/models/common'
......@@ -23,6 +23,7 @@ const CommonLayout: FC<ICommonLayoutProps> = ({ children }) => {
const pattern = pathname.replace(/.*\/app\//, '')
const [idOrMethod] = pattern.split('/')
const isNotDetailPage = idOrMethod === 'list'
const pageContainerRef = useRef<HTMLDivElement>(null)
const appId = isNotDetailPage ? '' : idOrMethod
......@@ -71,14 +72,14 @@ const CommonLayout: FC<ICommonLayoutProps> = ({ children }) => {
<SWRConfig value={{
shouldRetryOnError: false
}}>
<AppContext.Provider value={{ apps: appList.data, mutateApps, userProfile, mutateUserProfile }}>
<DatasetsContext.Provider value={{ datasets: datasetList?.data || [], mutateDatasets, currentDataset }}>
<div className='relative flex flex-col h-full overflow-scroll bg-gray-100'>
<AppContextProvider value={{ apps: appList.data, mutateApps, userProfile, mutateUserProfile, pageContainerRef }}>
<DatasetsContext.Provider value={{ datasets: datasetList?.data || [], mutateDatasets, currentDataset }}>
<div ref={pageContainerRef} className='relative flex flex-col h-full overflow-auto bg-gray-100'>
<Header isBordered={['/apps', '/datasets'].includes(pathname)} curApp={curApp as any} appItems={appList.data} userProfile={userProfile} onLogout={onLogout} langeniusVersionInfo={langeniusVersionInfo} />
{children}
</div>
</DatasetsContext.Provider>
</AppContext.Provider>
</AppContextProvider>
</SWRConfig>
)
}
......
web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
View file @ 201d9943
......@@ -49,7 +49,7 @@ const AppDetailLayout: FC<IAppDetailLayoutProps> = (props) => {
return null
return (
<div className={cn(s.app, 'flex', 'overflow-hidden')}>
<AppSideBar title={response.name} desc={appModeName} navigation={navigation} />
<AppSideBar title={response.name} icon={response.icon} icon_background={response.icon_background} desc={appModeName} navigation={navigation} />
<div className="bg-white grow">{children}</div>
</div>
)
......
web/app/(commonLayout)/apps/AppCard.tsx
View file @ 201d9943
......@@ -16,10 +16,12 @@ import AppsContext from '@/context/app-context'
export type AppCardProps = {
app: App
onDelete?: () => void
}
const AppCard = ({
app,
onDelete
}: AppCardProps) => {
const { t } = useTranslation()
const { notify } = useContext(ToastContext)
......@@ -35,6 +37,8 @@ const AppCard = ({
try {
await deleteApp(app.id)
notify({ type: 'success', message: t('app.appDeleted') })
if (onDelete)
onDelete()
mutateApps()
}
catch (e: any) {
......@@ -47,7 +51,7 @@ const AppCard = ({
<>
<Link href={`/app/${app.id}/overview`} className={style.listItem}>
<div className={style.listItemTitle}>
<AppIcon size='small' />
<AppIcon size='small' icon={app.icon} background={app.icon_background} />
<div className={style.listItemHeading}>
<div className={style.listItemHeadingContent}>{app.name}</div>
</div>
......
web/app/(commonLayout)/apps/Apps.tsx
View file @ 201d9943
'use client'
import { useEffect } from 'react'
import { useEffect, useRef } from 'react'
import useSWRInfinite from 'swr/infinite'
import { debounce } from 'lodash-es'
import AppCard from './AppCard'
import NewAppCard from './NewAppCard'
import { useAppContext } from '@/context/app-context'
import { AppListResponse } from '@/models/app'
import { fetchAppList } from '@/service/apps'
import { useSelector } from '@/context/app-context'
const getKey = (pageIndex: number, previousPageData: AppListResponse) => {
if (!pageIndex || previousPageData.has_more)
return { url: 'apps', params: { page: pageIndex + 1, limit: 30 } }
return null
}
const Apps = () => {
const { apps, mutateApps } = useAppContext()
const { data, isLoading, setSize, mutate } = useSWRInfinite(getKey, fetchAppList, { revalidateFirstPage: false })
const loadingStateRef = useRef(false)
const pageContainerRef = useSelector(state => state.pageContainerRef)
const anchorRef = useRef<HTMLAnchorElement>(null)
useEffect(() => {
mutateApps()
loadingStateRef.current = isLoading
}, [isLoading])
useEffect(() => {
const onScroll = debounce(() => {
if (!loadingStateRef.current) {
const { scrollTop, clientHeight } = pageContainerRef.current!
const anchorOffset = anchorRef.current!.offsetTop
if (anchorOffset - scrollTop - clientHeight < 100) {
setSize(size => size + 1)
}
}
}, 50)
pageContainerRef.current?.addEventListener('scroll', onScroll)
return () => pageContainerRef.current?.removeEventListener('scroll', onScroll)
}, [])
return (
<nav className='grid content-start grid-cols-1 gap-4 px-12 pt-8 sm:grid-cols-2 lg:grid-cols-4 grow shrink-0'>
{apps.map(app => (<AppCard key={app.id} app={app} />))}
<NewAppCard />
{data?.map(({ data: apps }) => apps.map(app => (
<AppCard key={app.id} app={app} onDelete={mutate} />
)))}
<NewAppCard ref={anchorRef} onSuccess={mutate} />
</nav>
)
}
......
web/app/(commonLayout)/apps/NewAppCard.tsx
View file @ 201d9943
'use client'
import { useState } from 'react'
import { forwardRef, useState } from 'react'
import classNames from 'classnames'
import { useTranslation } from 'react-i18next'
import style from '../list.module.css'
import NewAppDialog from './NewAppDialog'
const CreateAppCard = () => {
export type CreateAppCardProps = {
onSuccess?: () => void
}
const CreateAppCard = forwardRef<HTMLAnchorElement, CreateAppCardProps>(({ onSuccess }, ref) => {
const { t } = useTranslation()
const [showNewAppDialog, setShowNewAppDialog] = useState(false)
return (
<a className={classNames(style.listItem, style.newItemCard)} onClick={() => setShowNewAppDialog(true)}>
<a ref={ref} className={classNames(style.listItem, style.newItemCard)} onClick={() => setShowNewAppDialog(true)}>
<div className={style.listItemTitle}>
<span className={style.newItemIcon}>
<span className={classNames(style.newItemIconImage, style.newItemIconAdd)} />
......@@ -21,9 +24,9 @@ const CreateAppCard = () => {
</div>
</div>
{/* <div className='text-xs text-gray-500'>{t('app.createFromConfigFile')}</div> */}
<NewAppDialog show={showNewAppDialog} onClose={() => setShowNewAppDialog(false)} />
<NewAppDialog show={showNewAppDialog} onSuccess={onSuccess} onClose={() => setShowNewAppDialog(false)} />
</a>
)
}
})
export default CreateAppCard
web/app/(commonLayout)/apps/NewAppDialog.tsx
View file @ 201d9943
......@@ -17,12 +17,15 @@ import { createApp, fetchAppTemplates } from '@/service/apps'
import AppIcon from '@/app/components/base/app-icon'
import AppsContext from '@/context/app-context'
import EmojiPicker from '@/app/components/base/emoji-picker'
type NewAppDialogProps = {
show: boolean
onSuccess?: () => void
onClose?: () => void
}
const NewAppDialog = ({ show, onClose }: NewAppDialogProps) => {
const NewAppDialog = ({ show, onSuccess, onClose }: NewAppDialogProps) => {
const router = useRouter()
const { notify } = useContext(ToastContext)
const { t } = useTranslation()
......@@ -31,6 +34,11 @@ const NewAppDialog = ({ show, onClose }: NewAppDialogProps) => {
const [newAppMode, setNewAppMode] = useState<AppMode>()
const [isWithTemplate, setIsWithTemplate] = useState(false)
const [selectedTemplateIndex, setSelectedTemplateIndex] = useState<number>(-1)
// Emoji Picker
const [showEmojiPicker, setShowEmojiPicker] = useState(false)
const [emoji, setEmoji] = useState({ icon: '🍌', icon_background: '#FFEAD5' })
const mutateApps = useContextSelector(AppsContext, state => state.mutateApps)
const { data: templates, mutate } = useSWR({ url: '/app-templates' }, fetchAppTemplates)
......@@ -67,9 +75,13 @@ const NewAppDialog = ({ show, onClose }: NewAppDialogProps) => {
try {
const app = await createApp({
name,
icon: emoji.icon,
icon_background: emoji.icon_background,
mode: isWithTemplate ? templates.data[selectedTemplateIndex].mode : newAppMode!,
config: isWithTemplate ? templates.data[selectedTemplateIndex].model_config : undefined,
})
if (onSuccess)
onSuccess()
if (onClose)
onClose()
notify({ type: 'success', message: t('app.newApp.appCreated') })
......@@ -80,9 +92,20 @@ const NewAppDialog = ({ show, onClose }: NewAppDialogProps) => {
notify({ type: 'error', message: t('app.newApp.appCreateFailed') })
}
isCreatingRef.current = false
}, [isWithTemplate, newAppMode, notify, router, templates, selectedTemplateIndex])
}, [isWithTemplate, newAppMode, notify, router, templates, selectedTemplateIndex, emoji])
return (
return <>
{showEmojiPicker && <EmojiPicker
onSelect={(icon, icon_background) => {
console.log(icon, icon_background)
setEmoji({ icon, icon_background })
setShowEmojiPicker(false)
}}
onClose={() => {
setEmoji({ icon: '🍌', icon_background: '#FFEAD5' })
setShowEmojiPicker(false)
}}
/>}
<Dialog
show={show}
title={t('app.newApp.startToCreate')}
......@@ -96,7 +119,7 @@ const NewAppDialog = ({ show, onClose }: NewAppDialogProps) => {
<h3 className={style.newItemCaption}>{t('app.newApp.captionName')}</h3>
<div className='flex items-center justify-between gap-3 mb-8'>
<AppIcon size='large' />
<AppIcon size='large' onClick={() => { setShowEmojiPicker(true) }} className='cursor-pointer' icon={emoji.icon} background={emoji.icon_background} />
<input ref={nameInputRef} className='h-10 px-3 text-sm font-normal bg-gray-100 rounded-lg grow' />
</div>
......@@ -187,7 +210,7 @@ const NewAppDialog = ({ show, onClose }: NewAppDialogProps) => {
)}
</div>
</Dialog>
)
</>
}
export default NewAppDialog
web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx
View file @ 201d9943
......@@ -155,6 +155,8 @@ const DatasetDetailLayout: FC<IAppDetailLayoutProps> = (props) => {
<div className='flex' style={{ height: 'calc(100vh - 56px)' }}>
{!hideSideBar && <AppSideBar
title={datasetRes?.name || '--'}
icon={datasetRes?.icon || 'https://static.dify.ai/images/dataset-default-icon.png'}
icon_background={datasetRes?.icon_background || '#F5F5F5'}
desc={datasetRes?.description || '--'}
navigation={navigation}
extraInfo={<ExtraInfo />}
......
web/app/(commonLayout)/datasets/DatasetCard.tsx
View file @ 201d9943
......@@ -18,16 +18,16 @@ import classNames from 'classnames'
export type DatasetCardProps = {
dataset: DataSet
onDelete?: () => void
}
const DatasetCard = ({
dataset,
onDelete
}: DatasetCardProps) => {
const { t } = useTranslation()
const { notify } = useContext(ToastContext)
const { mutate: mutateDatasets } = useSWR({ url: '/datasets', params: { page: 1 } }, fetchDatasets)
const [showConfirmDelete, setShowConfirmDelete] = useState(false)
const onDeleteClick: MouseEventHandler = useCallback((e) => {
e.preventDefault()
......@@ -37,7 +37,8 @@ const DatasetCard = ({
try {
await deleteDataset(dataset.id)
notify({ type: 'success', message: t('dataset.datasetDeleted') })
mutateDatasets()
if (onDelete)
onDelete()
}
catch (e: any) {
notify({ type: 'error', message: `${t('dataset.datasetDeleteFailed')}${'message' in e ? `: ${e.message}` : ''}` })
......
web/app/(commonLayout)/datasets/Datasets.tsx
View file @ 201d9943
'use client'
import { useEffect } from 'react'
import useSWR from 'swr'
import { DataSet } from '@/models/datasets';
import { useEffect, useRef } from 'react'
import useSWRInfinite from 'swr/infinite'
import { debounce } from 'lodash-es';
import { DataSetListResponse } from '@/models/datasets';
import NewDatasetCard from './NewDatasetCard'
import DatasetCard from './DatasetCard';
import { fetchDatasets } from '@/service/datasets';
import { useSelector } from '@/context/app-context';
const getKey = (pageIndex: number, previousPageData: DataSetListResponse) => {
if (!pageIndex || previousPageData.has_more)
return { url: 'datasets', params: { page: pageIndex + 1, limit: 30 } }
return null
}
const Datasets = () => {
// const { datasets, mutateDatasets } = useAppContext()
const { data: datasetList, mutate: mutateDatasets } = useSWR({ url: '/datasets', params: { page: 1 } }, fetchDatasets)
const { data, isLoading, setSize, mutate } = useSWRInfinite(getKey, fetchDatasets, { revalidateFirstPage: false })
const loadingStateRef = useRef(false)
const pageContainerRef = useSelector(state => state.pageContainerRef)
const anchorRef = useRef<HTMLAnchorElement>(null)
useEffect(() => {
mutateDatasets()
loadingStateRef.current = isLoading
}, [isLoading])
useEffect(() => {
const onScroll = debounce(() => {
if (!loadingStateRef.current) {
const { scrollTop, clientHeight } = pageContainerRef.current!
const anchorOffset = anchorRef.current!.offsetTop
if (anchorOffset - scrollTop - clientHeight < 100) {
setSize(size => size + 1)
}
}
}, 50)
pageContainerRef.current?.addEventListener('scroll', onScroll)
return () => pageContainerRef.current?.removeEventListener('scroll', onScroll)
}, [])
return (
<nav className='grid content-start grid-cols-1 gap-4 px-12 pt-8 sm:grid-cols-2 lg:grid-cols-4 grow shrink-0'>
{datasetList?.data.map(dataset => (<DatasetCard key={dataset.id} dataset={dataset} />))}
<NewDatasetCard />
{data?.map(({ data: datasets }) => datasets.map(dataset => (
<DatasetCard key={dataset.id} dataset={dataset} onDelete={mutate} />)
))}
<NewDatasetCard ref={anchorRef} />
</nav>
)
}
......
web/app/(commonLayout)/datasets/NewDatasetCard.tsx
View file @ 201d9943
'use client'
import { useState } from 'react'
import { forwardRef, useState } from 'react'
import classNames from 'classnames'
import { useTranslation } from 'react-i18next'
import style from '../list.module.css'
const CreateAppCard = () => {
const CreateAppCard = forwardRef<HTMLAnchorElement>((_, ref) => {
const { t } = useTranslation()
const [showNewAppDialog, setShowNewAppDialog] = useState(false)
return (
<a className={classNames(style.listItem, style.newItemCard)} href='/datasets/create'>
<a ref={ref} className={classNames(style.listItem, style.newItemCard)} href='/datasets/create'>
<div className={style.listItemTitle}>
<span className={style.newItemIcon}>
<span className={classNames(style.newItemIconImage, style.newItemIconAdd)} />
......@@ -23,6 +23,6 @@ const CreateAppCard = () => {
{/* <div className='text-xs text-gray-500'>{t('app.createFromConfigFile')}</div> */}
</a>
)
}
})
export default CreateAppCard
web/app/api/hello/route.ts deleted 100644 → 0
View file @ 3a98c636
export async function GET(_request: Request) {
return new Response('Hello, Next.js!')
}
web/app/components/app-sidebar/basic.tsx
View file @ 201d9943
......@@ -15,7 +15,8 @@ export function randomString(length: number) {
export type IAppBasicProps = {
iconType?: 'app' | 'api' | 'dataset'
iconUrl?: string
icon?: string,
icon_background?: string,
name: string
type: string | React.ReactNode
hoverTip?: string
......@@ -41,15 +42,20 @@ const ICON_MAP = {
'dataset': <AppIcon innerIcon={DatasetSvg} className='!border-[0.5px] !border-indigo-100 !bg-indigo-25' />
}
export default function AppBasic({ iconUrl, name, type, hoverTip, textStyle, iconType = 'app' }: IAppBasicProps) {
export default function AppBasic({ icon, icon_background, name, type, hoverTip, textStyle, iconType = 'app' }: IAppBasicProps) {
return (
<div className="flex items-start">
{iconUrl && (
{icon && icon_background && iconType === 'app' && (
<div className='flex-shrink-0 mr-3'>
{/* <img className="inline-block rounded-lg h-9 w-9" src={iconUrl} alt={name} /> */}
{ICON_MAP[iconType]}
<AppIcon icon={icon} background={icon_background} />
</div>
)}
{iconType !== 'app' &&
<div className='flex-shrink-0 mr-3'>
{ICON_MAP[iconType]}
</div>
}
<div className="group">
<div className={`flex flex-row items-center text-sm font-semibold text-gray-700 group-hover:text-gray-900 ${textStyle?.main}`}>
{name}
......
web/app/components/app-sidebar/index.tsx
View file @ 201d9943
......@@ -7,6 +7,8 @@ export type IAppDetailNavProps = {
iconType?: 'app' | 'dataset'
title: string
desc: string
icon: string
icon_background: string
navigation: Array<{
name: string
href: string
......@@ -16,13 +18,12 @@ export type IAppDetailNavProps = {
extraInfo?: React.ReactNode
}
const sampleAppIconUrl = 'https://images.unsplash.com/photo-1472099645785-5658abf4ff4e?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=facearea&facepad=2&w=256&h=256&q=80'
const AppDetailNav: FC<IAppDetailNavProps> = ({ title, desc, navigation, extraInfo, iconType = 'app' }) => {
const AppDetailNav: FC<IAppDetailNavProps> = ({ title, desc, icon, icon_background, navigation, extraInfo, iconType = 'app' }) => {
return (
<div className="flex flex-col w-56 overflow-y-auto bg-white border-r border-gray-200 shrink-0">
<div className="flex flex-shrink-0 p-4">
<AppBasic iconType={iconType} iconUrl={sampleAppIconUrl} name={title} type={desc} />
<AppBasic iconType={iconType} icon={icon} icon_background={icon_background} name={title} type={desc} />
</div>
<nav className="flex-1 p-4 space-y-1 bg-white">
{navigation.map((item, index) => {
......
web/app/components/app/chat/copy-btn/index.tsx 0 → 100644
View file @ 201d9943
'use client'
import React from 'react'
import Tooltip from '@/app/components/base/tooltip'
import { t } from 'i18next'
import s from './style.module.css'
import copy from 'copy-to-clipboard'
type ICopyBtnProps = {
value: string
className?: string
}
const CopyBtn = ({
value,
className,
}: ICopyBtnProps) => {
const [isCopied, setIsCopied] = React.useState(false)
return (
<div className={`${className}`}>
<Tooltip
selector="copy-btn-tooltip"
content={(isCopied ? t('appApi.copied') : t('appApi.copy')) as string}
className='z-10'
>
<div
className={`box-border p-0.5 flex items-center justify-center rounded-md bg-white cursor-pointer`}
style={{
boxShadow: '0px 4px 8px -2px rgba(16, 24, 40, 0.1), 0px 2px 4px -2px rgba(16, 24, 40, 0.06)'
}}
onClick={() => {
copy(value)
setIsCopied(true)
}}
>
<div className={`w-6 h-6 hover:bg-gray-50 ${s.copyIcon} ${isCopied ? s.copied : ''}`}></div>
</div>
</Tooltip>
</div>
)
}
export default CopyBtn
web/app/components/app/chat/copy-btn/style.module.css 0 → 100644
View file @ 201d9943
.copyIcon {
background-image: url(~@/app/components/develop/secret-key/assets/copy.svg);
background-position: center;
background-repeat: no-repeat;
}
.copyIcon:hover {
background-image: url(~@/app/components/develop/secret-key/assets/copy-hover.svg);
background-position: center;
background-repeat: no-repeat;
}
.copyIcon.copied {
background-image: url(~@/app/components/develop/secret-key/assets/copied.svg);
}
\ No newline at end of file
web/app/components/app/chat/index.tsx
View file @ 201d9943
......@@ -17,6 +17,7 @@ import AppContext from '@/context/app-context'
import { Markdown } from '@/app/components/base/markdown'
import LoadingAnim from './loading-anim'
import { formatNumber } from '@/utils/format'
import CopyBtn from './copy-btn'
const stopIcon = (
<svg width="14" height="14" viewBox="0 0 14 14" fill="none" xmlns="http://www.w3.org/2000/svg">
......@@ -290,70 +291,76 @@ const Answer: FC<IAnswerProps> = ({ item, feedbackDisabled = false, isHideFeedba
</div>
}
</div>
<div className={`${s.answerWrap} ${showEdit ? 'w-full' : ''}`}>
<div className={`${s.answer} relative text-sm text-gray-900`}>
<div className={'ml-2 py-3 px-4 bg-gray-100 rounded-tr-2xl rounded-b-2xl'}>
{item.isOpeningStatement && (
<div className='flex items-center mb-1 gap-1'>
<OpeningStatementIcon />
<div className='text-xs text-gray-500'>{t('appDebug.openingStatement.title')}</div>
</div>
)}
{(isResponsing && !content) ? (
<div className='flex items-center justify-center w-6 h-5'>
<LoadingAnim type='text' />
</div>
) : (
<Markdown content={content} />
)}
{!showEdit
? (annotation?.content
&& <>
<Divider name={annotation?.account?.name || userProfile?.name} />
{annotation.content}
</>)
: <>
<Divider name={annotation?.account?.name || userProfile?.name} />
<AutoHeightTextarea
placeholder={t('appLog.detail.operation.annotationPlaceholder') as string}
value={inputValue}
onChange={e => setInputValue(e.target.value)}
minHeight={58}
className={`${cn(s.textArea)} !py-2 resize-none block w-full !px-3 bg-gray-50 border border-gray-200 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 sm:text-sm text-gray-700 tracking-[0.2px]`}
/>
<div className="mt-2 flex flex-row">
<Button
type='primary'
className='mr-2'
loading={loading}
onClick={async () => {
if (!inputValue)
return
setLoading(true)
const res = await onSubmitAnnotation?.(id, inputValue)
if (res)
setAnnotation({ ...annotation, content: inputValue } as any)
setLoading(false)
setShowEdit(false)
}}>{t('common.operation.confirm')}</Button>
<Button
onClick={() => {
setInputValue(annotation?.content ?? '')
setShowEdit(false)
}}>{t('common.operation.cancel')}</Button>
<div className={s.answerWrapWrap}>
<div className={`${s.answerWrap} ${showEdit ? 'w-full' : ''}`}>
<div className={`${s.answer} relative text-sm text-gray-900`}>
<div className={'ml-2 py-3 px-4 bg-gray-100 rounded-tr-2xl rounded-b-2xl'}>
{item.isOpeningStatement && (
<div className='flex items-center mb-1 gap-1'>
<OpeningStatementIcon />
<div className='text-xs text-gray-500'>{t('appDebug.openingStatement.title')}</div>
</div>
</>
}
</div>
<div className='absolute top-[-14px] right-[-14px] flex flex-row justify-end gap-1'>
{!feedbackDisabled && !item.feedbackDisabled && renderItemOperation(displayScene !== 'console')}
{/* Admin feedback is displayed only in the background. */}
{!feedbackDisabled && renderFeedbackRating(localAdminFeedback?.rating, false, false)}
{/* User feedback must be displayed */}
{!feedbackDisabled && renderFeedbackRating(feedback?.rating, !isHideFeedbackEdit, displayScene !== 'console')}
)}
{(isResponsing && !content) ? (
<div className='flex items-center justify-center w-6 h-5'>
<LoadingAnim type='text' />
</div>
) : (
<Markdown content={content} />
)}
{!showEdit
? (annotation?.content
&& <>
<Divider name={annotation?.account?.name || userProfile?.name} />
{annotation.content}
</>)
: <>
<Divider name={annotation?.account?.name || userProfile?.name} />
<AutoHeightTextarea
placeholder={t('appLog.detail.operation.annotationPlaceholder') as string}
value={inputValue}
onChange={e => setInputValue(e.target.value)}
minHeight={58}
className={`${cn(s.textArea)} !py-2 resize-none block w-full !px-3 bg-gray-50 border border-gray-200 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 sm:text-sm text-gray-700 tracking-[0.2px]`}
/>
<div className="mt-2 flex flex-row">
<Button
type='primary'
className='mr-2'
loading={loading}
onClick={async () => {
if (!inputValue)
return
setLoading(true)
const res = await onSubmitAnnotation?.(id, inputValue)
if (res)
setAnnotation({ ...annotation, content: inputValue } as any)
setLoading(false)
setShowEdit(false)
}}>{t('common.operation.confirm')}</Button>
<Button
onClick={() => {
setInputValue(annotation?.content ?? '')
setShowEdit(false)
}}>{t('common.operation.cancel')}</Button>
</div>
</>
}
</div>
<div className='absolute top-[-14px] right-[-14px] flex flex-row justify-end gap-1'>
<CopyBtn
value={content}
className={cn(s.copyBtn, 'mr-1')}
/>
{!feedbackDisabled && !item.feedbackDisabled && renderItemOperation(displayScene !== 'console')}
{/* Admin feedback is displayed only in the background. */}
{!feedbackDisabled && renderFeedbackRating(localAdminFeedback?.rating, false, false)}
{/* User feedback must be displayed */}
{!feedbackDisabled && renderFeedbackRating(feedback?.rating, !isHideFeedbackEdit, displayScene !== 'console')}
</div>
</div>
{more && <MoreInfo more={more} isQuestion={false} />}
</div>
{more && <MoreInfo more={more} isQuestion={false} />}
</div>
</div>
</div>
......@@ -367,7 +374,7 @@ const Question: FC<IQuestionProps> = ({ id, content, more, useCurrentUserAvatar
const userName = userProfile?.name
return (
<div className='flex items-start justify-end' key={id}>
<div>
<div className={s.questionWrapWrap}>
<div className={`${s.question} relative text-sm text-gray-900`}>
<div
className={'mr-2 py-3 px-4 bg-blue-500 rounded-tl-2xl rounded-b-2xl'}
......
web/app/components/app/chat/style.module.css
View file @ 201d9943
......@@ -38,6 +38,31 @@
background: url(./icons/answer.svg) no-repeat;
}
.copyBtn {
display: none;
}
.answerWrapWrap,
.questionWrapWrap {
width: 0;
flex-grow: 1;
}
.questionWrapWrap {
display: flex;
justify-content: flex-end;
}
.answerWrap,
.question {
display: inline-block;
max-width: 100%;
}
.answerWrap:hover .copyBtn {
display: block;
}
.answerWrap .itemOperation {
display: none;
}
......
web/app/components/app/configuration/config-model/index.tsx
View file @ 201d9943
......@@ -11,6 +11,7 @@ import type { CompletionParams } from '@/models/debug'
import { Cog8ToothIcon, InformationCircleIcon, ChevronDownIcon } from '@heroicons/react/24/outline'
import { AppType } from '@/types/app'
import { TONE_LIST } from '@/config'
import Toast from '@/app/components/base/toast'
export type IConifgModelProps = {
mode: string
......@@ -93,7 +94,7 @@ const ConifgModel: FC<IConifgModelProps> = ({
key: 'max_tokens',
tip: t('common.model.params.maxTokenTip'),
step: 100,
max: 4000,
max: modelId === 'gpt-4' ? 8000 : 4000,
},
]
......@@ -114,6 +115,16 @@ const ConifgModel: FC<IConifgModelProps> = ({
onShowUseGPT4Confirm()
return
}
if(id !== 'gpt-4' && completionParams.max_tokens > 4000) {
Toast.notify({
type: 'warning',
message: t('common.model.params.setToCurrentModelMaxTokenTip')
})
onCompletionParamsChange({
...completionParams,
max_tokens: 4000
})
}
setModelId(id)
}
}
......
web/app/components/app/configuration/prompt-value-panel/index.tsx
View file @ 201d9943
......@@ -73,7 +73,7 @@ const PromptValuePanel: FC<IPromptValuePanelProps> = ({
{
(promptTemplate && promptTemplate?.trim()) ? (
<div
className="max-h-48 overflow-y-auto text-sm text-gray-700"
className="max-h-48 overflow-y-auto text-sm text-gray-700 break-all"
dangerouslySetInnerHTML={{
__html: format(replaceStringWithValuesWithFormat(promptTemplate, promptVariables, inputs)),
}}
......
web/app/components/app/log/list.tsx
View file @ 201d9943
......@@ -166,7 +166,7 @@ function DetailPanel<T extends ChatConversationFullDetailResponse | CompletionCo
return res
})?.name ?? 'custom'
return (<div className='rounded-xl border-[0.5px] border-gray-200 h-full flex flex-col'>
return (<div className='rounded-xl border-[0.5px] border-gray-200 h-full flex flex-col overflow-auto'>
{/* Panel Header */}
<div className='border-b border-gray-100 py-4 px-6 flex items-center justify-between'>
<div className='flex-1'>
......@@ -207,7 +207,7 @@ function DetailPanel<T extends ChatConversationFullDetailResponse | CompletionCo
<div className='text-gray-700 font-medium text-sm mt-2'>{detail.model_config?.pre_prompt || emptyText}</div>
</div>
{!isChatMode
? <div className="px-2.5 py-4 overflow-y-auto">
? <div className="px-2.5 py-4">
<Chat
chatList={getFormattedChatList([detail.message])}
isHideSendInput={true}
......@@ -217,7 +217,7 @@ function DetailPanel<T extends ChatConversationFullDetailResponse | CompletionCo
/>
</div>
: items.length < 8
? <div className="px-2.5 pt-4 mb-4 overflow-y-auto">
? <div className="px-2.5 pt-4 mb-4">
<Chat
chatList={items}
isHideSendInput={true}
......
web/app/components/app/overview/appCard.tsx
View file @ 201d9943
......@@ -29,9 +29,6 @@ export type IAppCardProps = {
onGenerateCode?: () => Promise<any>
}
// todo: get image url from appInfo
const defaultUrl = 'https://images.unsplash.com/photo-1472099645785-5658abf4ff4e?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=facearea&facepad=2&w=256&h=256&q=80'
function AppCard({
appInfo,
cardType = 'app',
......@@ -104,7 +101,8 @@ function AppCard({
<div className="mb-2.5 flex flex-row items-start justify-between">
<AppBasic
iconType={isApp ? 'app' : 'api'}
iconUrl={defaultUrl}
icon={appInfo.icon}
icon_background={appInfo.icon_background}
name={basicName}
type={
isApp
......
web/app/components/app/overview/customize/index.tsx
View file @ 201d9943
......@@ -71,7 +71,7 @@ const CustomizeModal: FC<IShareLinkProps> = ({
<div className='flex flex-col w-full'>
<div className='text-gray-900'>{t(`${prefixCustomize}.way1.step2`)}</div>
<div className='text-gray-500 text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step2Tip`)}</div>
<pre className='box-border py-3 px-4 bg-gray-100 text-xs font-medium rounded-lg'>
<pre className='box-border py-3 px-4 bg-gray-100 text-xs font-medium rounded-lg select-text'>
export const APP_ID = '{appId}'<br />
export const API_KEY = {`'<Web API Key From Dify>'`}
</pre>
......
web/app/components/base/app-icon/index.tsx
View file @ 201d9943
......@@ -2,6 +2,11 @@ import type { FC } from 'react'
import classNames from 'classnames'
import style from './style.module.css'
import data from '@emoji-mart/data'
import { init } from 'emoji-mart'
init({ data })
export type AppIconProps = {
size?: 'tiny' | 'small' | 'medium' | 'large'
rounded?: boolean
......@@ -9,14 +14,17 @@ export type AppIconProps = {
background?: string
className?: string
innerIcon?: React.ReactNode
onClick?: () => void
}
const AppIcon: FC<AppIconProps> = ({
size = 'medium',
rounded = false,
icon,
background,
className,
innerIcon,
onClick,
}) => {
return (
<span
......@@ -29,8 +37,9 @@ const AppIcon: FC<AppIconProps> = ({
style={{
background,
}}
onClick={onClick}
>
{innerIcon ? innerIcon : <>🤖</>}
{innerIcon ? innerIcon : icon && icon !== '' ? <em-emoji id={icon} /> : <em-emoji id={'banana'} />}
</span>
)
}
......
web/app/components/base/block-input/index.tsx
View file @ 201d9943
......@@ -63,7 +63,7 @@ const BlockInput: FC<IBlockInputProps> = ({
}, [isEditing])
const style = classNames({
'block px-4 py-1 w-full h-full text-sm text-gray-900 outline-0 border-0': true,
'block px-4 py-1 w-full h-full text-sm text-gray-900 outline-0 border-0 break-all': true,
'block-input--editing': isEditing,
})
......
web/app/components/base/dialog/index.tsx
View file @ 201d9943
......@@ -33,7 +33,7 @@ const CustomDialog = ({
const close = useCallback(() => onClose?.(), [onClose])
return (
<Transition appear show={show} as={Fragment}>
<Dialog as="div" className="relative z-10" onClose={close}>
<Dialog as="div" className="relative z-40" onClose={close}>
<Transition.Child
as={Fragment}
enter="ease-out duration-300"
......
web/app/components/base/emoji-picker/index.tsx 0 → 100644
View file @ 201d9943
'use client'
import React from 'react'
import { useState, FC, ChangeEvent } from 'react'
import data from '@emoji-mart/data'
import { init, SearchIndex } from 'emoji-mart'
import cn from 'classnames'
import Divider from '@/app/components/base/divider'
import Button from '@/app/components/base/button'
import s from './style.module.css'
import {
MagnifyingGlassIcon
} from '@heroicons/react/24/outline'
import Modal from '@/app/components/base/modal'
import { useTranslation } from 'react-i18next'
declare global {
namespace JSX {
interface IntrinsicElements {
'em-emoji': React.DetailedHTMLProps<
React.HTMLAttributes<HTMLElement>,
HTMLElement
>;
}
}
}
init({ data })
async function search(value: string) {
const emojis = await SearchIndex.search(value) || []
const results = emojis.map((emoji: any) => {
return emoji.skins[0].native
})
return results
}
const backgroundColors = [
'#FFEAD5',
'#E4FBCC',
'#D3F8DF',
'#E0F2FE',
'#E0EAFF',
'#EFF1F5',
'#FBE8FF',
'#FCE7F6',
'#FEF7C3',
'#E6F4D7',
'#D5F5F6',
'#D1E9FF',
'#D1E0FF',
'#D5D9EB',
'#ECE9FE',
'#FFE4E8',
]
interface IEmojiPickerProps {
isModal?: boolean
onSelect?: (emoji: string, background: string) => void
onClose?: () => void
}
const EmojiPicker: FC<IEmojiPickerProps> = ({
isModal = true,
onSelect,
onClose
}) => {
const { t } = useTranslation()
const { categories } = data as any
const [selectedEmoji, setSelectedEmoji] = useState('')
const [selectedBackground, setSelectedBackground] = useState(backgroundColors[0])
const [searchedEmojis, setSearchedEmojis] = useState([])
const [isSearching, setIsSearching] = useState(false)
return isModal ? <Modal
onClose={() => { }}
isShow
closable={false}
wrapperClassName='!z-40'
className={cn(s.container, '!w-[362px] !p-0')}
>
<div className='flex flex-col items-center w-full p-3'>
<div className="relative w-full">
<div className="absolute inset-y-0 left-0 flex items-center pl-3 pointer-events-none">
<MagnifyingGlassIcon className="w-5 h-5 text-gray-400" aria-hidden="true" />
</div>
<input
type="search"
id="search"
className='block w-full h-10 px-3 pl-10 text-sm font-normal bg-gray-100 rounded-lg'
placeholder="Search emojis..."
onChange={async (e: ChangeEvent<HTMLInputElement>) => {
if (e.target.value === '') {
setIsSearching(false)
return
} else {
setIsSearching(true)
const emojis = await search(e.target.value)
setSearchedEmojis(emojis)
}
}}
/>
</div>
</div>
<Divider className='m-0 mb-3' />
<div className="w-full max-h-[200px] overflow-x-hidden overflow-y-auto px-3">
{isSearching && <>
<div key={`category-search`} className='flex flex-col'>
<p className='font-medium uppercase text-xs text-[#101828] mb-1'>Search</p>
<div className='w-full h-full grid grid-cols-8 gap-1'>
{searchedEmojis.map((emoji: string, index: number) => {
return <div
key={`emoji-search-${index}`}
className='inline-flex w-10 h-10 rounded-lg items-center justify-center'
onClick={() => {
setSelectedEmoji(emoji)
}}
>
<div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-gray-300'>
<em-emoji id={emoji} />
</div>
</div>
})}
</div>
</div>
</>}
{categories.map((category: any, index: number) => {
return <div key={`category-${index}`} className='flex flex-col'>
<p className='font-medium uppercase text-xs text-[#101828] mb-1'>{category.id}</p>
<div className='w-full h-full grid grid-cols-8 gap-1'>
{category.emojis.map((emoji: string, index: number) => {
return <div
key={`emoji-${index}`}
className='inline-flex w-10 h-10 rounded-lg items-center justify-center'
onClick={() => {
setSelectedEmoji(emoji)
}}
>
<div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-gray-300'>
<em-emoji id={emoji} />
</div>
</div>
})}
</div>
</div>
})}
</div>
{/* Color Select */}
<div className={cn('flex flex-col p-3 ', selectedEmoji == '' ? 'opacity-25' : '')}>
<p className='font-medium uppercase text-xs text-[#101828] mb-2'>Choose Style</p>
<div className='w-full h-full grid grid-cols-8 gap-1'>
{backgroundColors.map((color) => {
return <div
key={color}
className={
cn(
'cursor-pointer',
`hover:ring-1 ring-offset-1`,
'inline-flex w-10 h-10 rounded-lg items-center justify-center',
color === selectedBackground ? `ring-1 ring-gray-300` : '',
)}
onClick={() => {
setSelectedBackground(color)
}}
>
<div className={cn(
'w-8 h-8 p-1 flex items-center justify-center rounded-lg',
)
} style={{ background: color }}>
{selectedEmoji !== '' && <em-emoji id={selectedEmoji} />}
</div>
</div>
})}
</div>
</div>
<Divider className='m-0' />
<div className='w-full flex items-center justify-center p-3 gap-2'>
<Button type="default" className='w-full' onClick={() => {
onClose && onClose()
}}>
{t('app.emoji.cancel')}
</Button>
<Button
disabled={selectedEmoji == ''}
type="primary"
className='w-full'
onClick={() => {
onSelect && onSelect(selectedEmoji, selectedBackground)
}}>
{t('app.emoji.ok')}
</Button>
</div>
</Modal> : <>
</>
}
export default EmojiPicker
web/app/components/base/emoji-picker/style.module.css 0 → 100644
View file @ 201d9943
.container {
display: flex;
flex-direction: column;
align-items: flex-start;
width: 362px;
max-height: 552px;
border: 0.5px solid #EAECF0;
box-shadow: 0px 12px 16px -4px rgba(16, 24, 40, 0.08), 0px 4px 6px -2px rgba(16, 24, 40, 0.03);
border-radius: 12px;
background: #fff;
}
web/app/components/base/modal/index.tsx
View file @ 201d9943
......@@ -5,6 +5,7 @@ import { XMarkIcon } from '@heroicons/react/24/outline'
type IModal = {
className?: string
wrapperClassName?: string
isShow: boolean
onClose: () => void
title?: React.ReactNode
......@@ -15,6 +16,7 @@ type IModal = {
export default function Modal({
className,
wrapperClassName,
isShow,
onClose,
title,
......@@ -23,51 +25,51 @@ export default function Modal({
closable = false,
}: IModal) {
return (
<Transition appear show={isShow} as={Fragment}>
<Dialog as="div" className="relative z-10" onClose={onClose}>
<Transition.Child
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0"
enterTo="opacity-100"
leave="ease-in duration-200"
leaveFrom="opacity-100"
leaveTo="opacity-0"
>
<div className="fixed inset-0 bg-black bg-opacity-25" />
</Transition.Child>
<Transition appear show={isShow} as={Fragment}>
<Dialog as="div" className={`relative z-10 ${wrapperClassName}`} onClose={onClose}>
<Transition.Child
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0"
enterTo="opacity-100"
leave="ease-in duration-200"
leaveFrom="opacity-100"
leaveTo="opacity-0"
>
<div className="fixed inset-0 bg-black bg-opacity-25" />
</Transition.Child>
<div className="fixed inset-0 overflow-y-auto">
<div className="flex min-h-full items-center justify-center p-4 text-center">
<Transition.Child
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0 scale-95"
enterTo="opacity-100 scale-100"
leave="ease-in duration-200"
leaveFrom="opacity-100 scale-100"
leaveTo="opacity-0 scale-95"
>
<Dialog.Panel className={`w-full max-w-md transform overflow-hidden rounded-2xl bg-white p-6 text-left align-middle shadow-xl transition-all ${className}`}>
{title && <Dialog.Title
as="h3"
className="text-lg font-medium leading-6 text-gray-900"
>
{title}
</Dialog.Title>}
{description && <Dialog.Description className='text-gray-500 text-xs font-normal mt-2'>
{description}
</Dialog.Description>}
{closable
&& <div className='absolute top-6 right-6 w-5 h-5 rounded-2xl flex items-center justify-center hover:cursor-pointer hover:bg-gray-100'>
<XMarkIcon className='w-4 h-4 text-gray-500' onClick={onClose} />
</div>}
{children}
</Dialog.Panel>
</Transition.Child>
</div>
</div>
</Dialog>
</Transition>
<div className="fixed inset-0 overflow-y-auto">
<div className="flex min-h-full items-center justify-center p-4 text-center">
<Transition.Child
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0 scale-95"
enterTo="opacity-100 scale-100"
leave="ease-in duration-200"
leaveFrom="opacity-100 scale-100"
leaveTo="opacity-0 scale-95"
>
<Dialog.Panel className={`w-full max-w-md transform overflow-hidden rounded-2xl bg-white p-6 text-left align-middle shadow-xl transition-all ${className}`}>
{title && <Dialog.Title
as="h3"
className="text-lg font-medium leading-6 text-gray-900"
>
{title}
</Dialog.Title>}
{description && <Dialog.Description className='text-gray-500 text-xs font-normal mt-2'>
{description}
</Dialog.Description>}
{closable
&& <div className='absolute top-6 right-6 w-5 h-5 rounded-2xl flex items-center justify-center hover:cursor-pointer hover:bg-gray-100'>
<XMarkIcon className='w-4 h-4 text-gray-500' onClick={onClose} />
</div>}
{children}
</Dialog.Panel>
</Transition.Child>
</div>
</div>
</Dialog>
</Transition>
)
}
web/app/components/datasets/create/file-preview/index.module.css
View file @ 201d9943
......@@ -43,4 +43,7 @@
background: #f9fafb center no-repeat url(../assets/Loading.svg);
background-size: contain;
}
.fileContent {
white-space: pre-line;
}
\ No newline at end of file
web/app/components/datasets/create/file-uploader/index.tsx
View file @ 201d9943
......@@ -190,13 +190,15 @@ const FileUploader = ({ file, onFileUpdate }: IFileUploaderProps) => {
onChange={fileChangeHandle}
/>
<div className={s.title}>{t('datasetCreation.stepOne.uploader.title')}</div>
{!currentFile && !file && (
<div ref={dropRef} className={cn(s.uploader, dragging && s.dragging)}>
<span>{t('datasetCreation.stepOne.uploader.button')}</span>
<label className={s.browse} onClick={selectHandle}>{t('datasetCreation.stepOne.uploader.browse')}</label>
{dragging && <div ref={dragRef} className={s.draggingCover}/>}
</div>
)}
<div ref={dropRef}>
{!currentFile && !file && (
<div className={cn(s.uploader, dragging && s.dragging)}>
<span>{t('datasetCreation.stepOne.uploader.button')}</span>
<label className={s.browse} onClick={selectHandle}>{t('datasetCreation.stepOne.uploader.browse')}</label>
{dragging && <div ref={dragRef} className={s.draggingCover}/>}
</div>
)}
</div>
{currentFile && (
<div className={cn(s.file, uploading && s.uploading)}>
{uploading && (
......
web/app/components/datasets/create/step-two/preview-item/index.tsx
View file @ 201d9943
......@@ -41,7 +41,7 @@ const PreviewItem: FC<IPreviewItemProps> = ({
</div>
</div>
<div className='mt-2 max-h-[120px] line-clamp-6 overflow-hidden text-sm text-gray-800'>
{content}
<div style={{ whiteSpace: 'pre-line'}}>{content}</div>
</div>
</div>
)
......
web/app/components/datasets/documents/detail/completed/style.module.css
View file @ 201d9943
......@@ -44,7 +44,8 @@
@apply h-8 py-0 bg-gray-50 hover:bg-gray-100 rounded-lg shadow-none !important;
}
.segModalContent {
@apply h-96 text-gray-800 text-base overflow-y-scroll;
@apply h-96 text-gray-800 text-base break-all overflow-y-scroll;
white-space: pre-line;
}
.footer {
@apply flex items-center justify-between box-border border-t-gray-200 border-t-[0.5px] pt-3 mt-4;
......
web/app/components/datasets/documents/index.tsx
View file @ 201d9943
......@@ -69,7 +69,7 @@ type IDocumentsProps = {
datasetId: string
}
export const fetcher = (url: string) => get(url, {}, { isMock: true })
export const fetcher = (url: string) => get(url, {}, {})
const Documents: FC<IDocumentsProps> = ({ datasetId }) => {
const { t } = useTranslation()
......
web/app/components/header/account-setting/index.tsx
View file @ 201d9943
......@@ -75,6 +75,7 @@ export default function AccountSetting({
isShow
onClose={() => { }}
className={s.modal}
wrapperClassName='pt-[60px]'
>
<div className='flex'>
<div className='w-[200px] p-4 border border-gray-100'>
......
web/app/components/header/account-setting/provider-page/azure-provider/index.tsx
View file @ 201d9943
import type { Provider, ProviderAzureToken } from '@/models/common'
import { ProviderName } from '@/models/common'
import { useTranslation } from 'react-i18next'
import Link from 'next/link'
import { ArrowTopRightOnSquareIcon } from '@heroicons/react/24/outline'
import ProviderInput, { ProviderValidateTokenInput} from '../provider-input'
import { useState } from 'react'
import { ValidatedStatus } from '../provider-input/useValidateToken'
import { useState, useEffect } from 'react'
import ProviderInput from '../provider-input'
import useValidateToken, { ValidatedStatus } from '../provider-input/useValidateToken'
import {
ValidatedErrorIcon,
ValidatedSuccessIcon,
ValidatingTip,
ValidatedErrorOnAzureOpenaiTip
} from '../provider-input/Validate'
interface IAzureProviderProps {
provider: Provider
......@@ -17,52 +24,72 @@ const AzureProvider = ({
onValidatedStatus
}: IAzureProviderProps) => {
const { t } = useTranslation()
const [token, setToken] = useState(provider.token as ProviderAzureToken || {})
const handleFocus = () => {
if (token === provider.token) {
token.azure_api_key = ''
const [token, setToken] = useState<ProviderAzureToken>(provider.provider_name === ProviderName.AZURE_OPENAI ? {...provider.token}: {})
const [ validating, validatedStatus, setValidatedStatus, validate ] = useValidateToken(provider.provider_name)
const handleFocus = (type: keyof ProviderAzureToken) => {
if (token[type] === (provider?.token as ProviderAzureToken)[type]) {
token[type] = ''
setToken({...token})
onTokenChange({...token})
setValidatedStatus(undefined)
}
}
const handleChange = (type: keyof ProviderAzureToken, v: string) => {
const handleChange = (type: keyof ProviderAzureToken, v: string, validate: any) => {
token[type] = v
setToken({...token})
onTokenChange({...token})
validate({...token}, {
beforeValidating: () => {
if (!token.openai_api_base || !token.openai_api_key) {
setValidatedStatus(undefined)
return false
}
return true
}
})
}
const getValidatedIcon = () => {
if (validatedStatus === ValidatedStatus.Error || validatedStatus === ValidatedStatus.Exceed) {
return <ValidatedErrorIcon />
}
if (validatedStatus === ValidatedStatus.Success) {
return <ValidatedSuccessIcon />
}
}
const getValidatedTip = () => {
if (validating) {
return <ValidatingTip />
}
if (validatedStatus === ValidatedStatus.Error) {
return <ValidatedErrorOnAzureOpenaiTip />
}
}
useEffect(() => {
if (typeof onValidatedStatus === 'function') {
onValidatedStatus(validatedStatus)
}
}, [validatedStatus])
return (
<div className='px-4 py-3'>
<ProviderInput
className='mb-4'
name={t('common.provider.azure.resourceName')}
placeholder={t('common.provider.azure.resourceNamePlaceholder')}
value={token.azure_api_base}
onChange={(v) => handleChange('azure_api_base', v)}
/>
<ProviderInput
className='mb-4'
name={t('common.provider.azure.deploymentId')}
placeholder={t('common.provider.azure.deploymentIdPlaceholder')}
value={token.azure_api_type}
onChange={v => handleChange('azure_api_type', v)}
name={t('common.provider.azure.apiBase')}
placeholder={t('common.provider.azure.apiBasePlaceholder')}
value={token.openai_api_base}
onChange={(v) => handleChange('openai_api_base', v, validate)}
onFocus={() => handleFocus('openai_api_base')}
validatedIcon={getValidatedIcon()}
/>
<ProviderInput
className='mb-4'
name={t('common.provider.azure.apiVersion')}
placeholder={t('common.provider.azure.apiVersionPlaceholder')}
value={token.azure_api_version}
onChange={v => handleChange('azure_api_version', v)}
/>
<ProviderValidateTokenInput
className='mb-4'
name={t('common.provider.azure.apiKey')}
placeholder={t('common.provider.azure.apiKeyPlaceholder')}
value={token.azure_api_key}
onChange={v => handleChange('azure_api_key', v)}
onFocus={handleFocus}
onValidatedStatus={onValidatedStatus}
providerName={provider.provider_name}
value={token.openai_api_key}
onChange={(v) => handleChange('openai_api_key', v, validate)}
onFocus={() => handleFocus('openai_api_key')}
validatedIcon={getValidatedIcon()}
validatedTip={getValidatedTip()}
/>
<Link className="flex items-center text-xs cursor-pointer text-primary-600" href="https://platform.openai.com/account/api-keys" target={'_blank'}>
{t('common.provider.azure.helpTip')}
......@@ -72,4 +99,4 @@ const AzureProvider = ({
)
}
export default AzureProvider
\ No newline at end of file
export default AzureProvider
web/app/components/header/account-setting/provider-page/index.tsx
View file @ 201d9943
......@@ -67,7 +67,7 @@ const ProviderPage = () => {
const providerHosted = data?.filter(provider => provider.provider_name === 'openai' && provider.provider_type === 'system')?.[0]
return (
<div>
<div className='pb-7'>
{
providerHosted && !IS_CE_EDITION && (
<>
......
web/app/components/header/account-setting/provider-page/openai-provider/provider.tsx deleted 100644 → 0
View file @ 3a98c636
import type { Provider } from '@/models/common'
import { useState } from 'react'
import { useTranslation } from 'react-i18next'
import { ProviderValidateTokenInput } from '../provider-input'
import Link from 'next/link'
import { ArrowTopRightOnSquareIcon } from '@heroicons/react/24/outline'
import { ValidatedStatus } from '../provider-input/useValidateToken'
interface IOpenaiProviderProps {
provider: Provider
onValidatedStatus: (status?: ValidatedStatus) => void
onTokenChange: (token: string) => void
}
const OpenaiProvider = ({
provider,
onValidatedStatus,
onTokenChange
}: IOpenaiProviderProps) => {
const { t } = useTranslation()
const [token, setToken] = useState(provider.token as string || '')
const handleFocus = () => {
if (token === provider.token) {
setToken('')
onTokenChange('')
}
}
const handleChange = (v: string) => {
setToken(v)
onTokenChange(v)
}
return (
<div className='px-4 pt-3 pb-4'>
<ProviderValidateTokenInput
value={token}
name={t('common.provider.apiKey')}
placeholder={t('common.provider.enterYourKey')}
onChange={handleChange}
onFocus={handleFocus}
onValidatedStatus={onValidatedStatus}
providerName={provider.provider_name}
/>
<Link className="inline-flex items-center mt-3 text-xs font-normal cursor-pointer text-primary-600 w-fit" href="https://platform.openai.com/account/api-keys" target={'_blank'}>
{t('appOverview.welcome.getKeyTip')}
<ArrowTopRightOnSquareIcon className='w-3 h-3 ml-1 text-primary-600' aria-hidden="true" />
</Link>
</div>
)
}
export default OpenaiProvider
\ No newline at end of file
web/app/components/header/account-setting/provider-page/provider-input/Validate.tsx 0 → 100644
View file @ 201d9943
import Link from 'next/link'
import { CheckCircleIcon, ExclamationCircleIcon } from '@heroicons/react/24/solid'
import { useTranslation } from 'react-i18next'
import { useContext } from 'use-context-selector'
import I18n from '@/context/i18n'
export const ValidatedErrorIcon = () => {
return <ExclamationCircleIcon className='w-4 h-4 text-[#D92D20]' />
}
export const ValidatedSuccessIcon = () => {
return <CheckCircleIcon className='w-4 h-4 text-[#039855]' />
}
export const ValidatingTip = () => {
const { t } = useTranslation()
return (
<div className={`mt-2 text-primary-600 text-xs font-normal`}>
{t('common.provider.validating')}
</div>
)
}
export const ValidatedExceedOnOpenaiTip = () => {
const { t } = useTranslation()
const { locale } = useContext(I18n)
return (
<div className={`mt-2 text-[#D92D20] text-xs font-normal`}>
{t('common.provider.apiKeyExceedBill')}&nbsp;
<Link
className='underline'
href="https://platform.openai.com/account/api-keys"
target={'_blank'}>
{locale === 'en' ? 'this link' : '这篇文档'}
</Link>
</div>
)
}
export const ValidatedErrorOnOpenaiTip = () => {
const { t } = useTranslation()
return (
<div className={`mt-2 text-[#D92D20] text-xs font-normal`}>
{t('common.provider.invalidKey')}
</div>
)
}
export const ValidatedErrorOnAzureOpenaiTip = () => {
const { t } = useTranslation()
return (
<div className={`mt-2 text-[#D92D20] text-xs font-normal`}>
{t('common.provider.invalidApiKey')}
</div>
)
}
\ No newline at end of file
web/app/components/header/account-setting/provider-page/provider-input/index.tsx
View file @ 201d9943
import { ChangeEvent, useEffect } from 'react'
import Link from 'next/link'
import { CheckCircleIcon, ExclamationCircleIcon } from '@heroicons/react/24/solid'
import { useTranslation } from 'react-i18next'
import { useContext } from 'use-context-selector'
import I18n from '@/context/i18n'
import useValidateToken, { ValidatedStatus } from './useValidateToken'
import { ChangeEvent } from 'react'
import { ReactElement } from 'react-markdown/lib/react-markdown'
interface IProviderInputProps {
value?: string
......@@ -13,6 +8,8 @@ interface IProviderInputProps {
className?: string
onChange: (v: string) => void
onFocus?: () => void
validatedIcon?: ReactElement
validatedTip?: ReactElement
}
const ProviderInput = ({
......@@ -22,6 +19,8 @@ const ProviderInput = ({
className,
onChange,
onFocus,
validatedIcon,
validatedTip
}: IProviderInputProps) => {
const handleChange = (e: ChangeEvent<HTMLInputElement>) => {
......@@ -47,95 +46,9 @@ const ProviderInput = ({
onChange={handleChange}
onFocus={onFocus}
/>
{validatedIcon}
</div>
</div>
)
}
type TproviderInputProps = IProviderInputProps
& {
onValidatedStatus?: (status?: ValidatedStatus) => void
providerName: string
}
export const ProviderValidateTokenInput = ({
value,
name,
placeholder,
className,
onChange,
onFocus,
onValidatedStatus,
providerName
}: TproviderInputProps) => {
const { t } = useTranslation()
const { locale } = useContext(I18n)
const [ validating, validatedStatus, validate ] = useValidateToken(providerName)
useEffect(() => {
if (typeof onValidatedStatus === 'function') {
onValidatedStatus(validatedStatus)
}
}, [validatedStatus])
const handleChange = (e: ChangeEvent<HTMLInputElement>) => {
const inputValue = e.target.value
onChange(inputValue)
validate(inputValue)
}
return (
<div className={className}>
<div className="mb-2 text-[13px] font-medium text-gray-800">{name}</div>
<div className='
flex items-center px-3 bg-white rounded-lg
shadow-[0_1px_2px_rgba(16,24,40,0.05)]
'>
<input
className='
w-full py-[9px]
text-xs font-medium text-gray-700 leading-[18px]
appearance-none outline-none bg-transparent
'
value={value}
placeholder={placeholder}
onChange={handleChange}
onFocus={onFocus}
/>
{
validatedStatus === ValidatedStatus.Error && <ExclamationCircleIcon className='w-4 h-4 text-[#D92D20]' />
}
{
validatedStatus === ValidatedStatus.Success && <CheckCircleIcon className='w-4 h-4 text-[#039855]' />
}
</div>
{
validating && (
<div className={`mt-2 text-primary-600 text-xs font-normal`}>
{t('common.provider.validating')}
</div>
)
}
{
validatedStatus === ValidatedStatus.Exceed && !validating && (
<div className={`mt-2 text-[#D92D20] text-xs font-normal`}>
{t('common.provider.apiKeyExceedBill')}&nbsp;
<Link
className='underline'
href="https://platform.openai.com/account/api-keys"
target={'_blank'}>
{locale === 'en' ? 'this link' : '这篇文档'}
</Link>
</div>
)
}
{
validatedStatus === ValidatedStatus.Error && !validating && (
<div className={`mt-2 text-[#D92D20] text-xs font-normal`}>
{t('common.provider.invalidKey')}
</div>
)
}
{validatedTip}
</div>
)
}
......
web/app/components/header/account-setting/provider-page/provider-input/useValidateToken.ts
View file @ 201d9943
import { useState, useCallback } from 'react'
import { useState, useCallback, SetStateAction, Dispatch } from 'react'
import debounce from 'lodash-es/debounce'
import { DebouncedFunc } from 'lodash-es'
import { validateProviderKey } from '@/service/common'
......@@ -8,14 +8,24 @@ export enum ValidatedStatus {
Error = 'error',
Exceed = 'exceed'
}
export type SetValidatedStatus = Dispatch<SetStateAction<ValidatedStatus | undefined>>
export type ValidateFn = DebouncedFunc<(token: any, config: ValidateFnConfig) => void>
type ValidateTokenReturn = [
boolean,
ValidatedStatus | undefined,
SetValidatedStatus,
ValidateFn
]
export type ValidateFnConfig = {
beforeValidating: (token: any) => boolean
}
const useValidateToken = (providerName: string): [boolean, ValidatedStatus | undefined, DebouncedFunc<(token: string) => Promise<void>>] => {
const useValidateToken = (providerName: string): ValidateTokenReturn => {
const [validating, setValidating] = useState(false)
const [validatedStatus, setValidatedStatus] = useState<ValidatedStatus | undefined>()
const validate = useCallback(debounce(async (token: string) => {
if (!token) {
setValidatedStatus(undefined)
return
const validate = useCallback(debounce(async (token: string, config: ValidateFnConfig) => {
if (!config.beforeValidating(token)) {
return false
}
setValidating(true)
try {
......@@ -24,8 +34,10 @@ const useValidateToken = (providerName: string): [boolean, ValidatedStatus | und
} catch (e: any) {
if (e.status === 400) {
e.json().then(({ code }: any) => {
if (code === 'provider_request_failed') {
if (code === 'provider_request_failed' && providerName === 'openai') {
setValidatedStatus(ValidatedStatus.Exceed)
} else {
setValidatedStatus(ValidatedStatus.Error)
}
})
} else {
......@@ -39,7 +51,8 @@ const useValidateToken = (providerName: string): [boolean, ValidatedStatus | und
return [
validating,
validatedStatus,
validate,
setValidatedStatus,
validate
]
}
......
web/app/components/header/index.tsx
View file @ 201d9943
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View file @ 201d9943
......@@ -5,7 +5,7 @@ import Welcome from '../welcome'
const ConfigSence: FC<IWelcomeProps> = (props) => {
return (
<div className='mb-5 antialiased font-sans overflow-hidden shrink-0'>
<div className='mb-5 antialiased font-sans shrink-0'>
<Welcome {...props} />
</div>
)
......
web/app/components/share/chat/index.tsx
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web/i18n/lang/app.en.ts
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web/i18n/lang/app.zh.ts
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web/i18n/lang/common.en.ts
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