mirror of
https://github.com/1Panel-dev/MaxKB.git
synced 2025-12-26 18:32:48 +00:00
Compare commits
No commits in common. "main" and "v1.9.0" have entirely different histories.
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@ -1,17 +0,0 @@
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version: 2
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updates:
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||||
- package-ecosystem: "pip"
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directory: "/"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
timezone: "Asia/Shanghai"
|
||||
day: "friday"
|
||||
target-branch: "v2"
|
||||
groups:
|
||||
python-dependencies:
|
||||
patterns:
|
||||
- "*"
|
||||
# ignore:
|
||||
# - dependency-name: "pymupdf"
|
||||
# versions: ["*"]
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||||
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@ -14,7 +14,7 @@ on:
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- linux/amd64,linux/arm64
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jobs:
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build-and-push-python-pg-to-ghcr:
|
||||
runs-on: ubuntu-22.04
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Check Disk Space
|
||||
run: df -h
|
||||
|
|
@ -50,9 +50,6 @@ jobs:
|
|||
${DOCKER_IMAGE_TAGS} .
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
with:
|
||||
# Until https://github.com/tonistiigi/binfmt/issues/215
|
||||
image: tonistiigi/binfmt:qemu-v7.0.0-28
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
- name: Login to GitHub Container Registry
|
||||
|
|
|
|||
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@ -19,7 +19,7 @@ on:
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jobs:
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||||
build-and-push-vector-model-to-ghcr:
|
||||
runs-on: ubuntu-22.04
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Check Disk Space
|
||||
run: df -h
|
||||
|
|
@ -55,9 +55,6 @@ jobs:
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|||
${DOCKER_IMAGE_TAGS} .
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
with:
|
||||
# Until https://github.com/tonistiigi/binfmt/issues/215
|
||||
image: tonistiigi/binfmt:qemu-v7.0.0-28
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
- name: Login to GitHub Container Registry
|
||||
|
|
|
|||
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@ -6,14 +6,9 @@ on:
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|||
workflow_dispatch:
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||||
inputs:
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||||
dockerImageTag:
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||||
description: 'Image Tag'
|
||||
default: 'v1.10.7-dev'
|
||||
description: 'Docker Image Tag'
|
||||
default: 'v1.9.0-dev'
|
||||
required: true
|
||||
dockerImageTagWithLatest:
|
||||
description: '是否发布latest tag（正式发版时选择，测试版本切勿选择）'
|
||||
default: false
|
||||
required: true
|
||||
type: boolean
|
||||
architecture:
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||||
description: 'Architecture'
|
||||
required: true
|
||||
|
|
@ -62,14 +57,13 @@ jobs:
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|||
DOCKER_IMAGE=${{ secrets.FIT2CLOUD_REGISTRY_HOST }}/maxkb/maxkb
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DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
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TAG_NAME=${{ github.event.inputs.dockerImageTag }}
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TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
|
||||
if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then
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||||
DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*}"
|
||||
else
|
||||
if [[ ${TAG_NAME} == *dev* ]]; then
|
||||
DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
|
||||
else
|
||||
DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:latest"
|
||||
fi
|
||||
echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
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||||
--build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
|
||||
echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} \
|
||||
--build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=${GITHUB_SHA::8} --no-cache \
|
||||
${DOCKER_IMAGE_TAGS} .
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
|
|
@ -89,7 +83,6 @@ jobs:
|
|||
password: ${{ secrets.FIT2CLOUD_REGISTRY_PASSWORD }}
|
||||
- name: Docker Buildx (build-and-push)
|
||||
run: |
|
||||
sudo sync && echo 3 | sudo tee /proc/sys/vm/drop_caches && free -m
|
||||
docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }} -f installer/Dockerfile
|
||||
|
||||
build-and-push-to-dockerhub:
|
||||
|
|
@ -119,15 +112,14 @@ jobs:
|
|||
run: |
|
||||
DOCKER_IMAGE=1panel/maxkb
|
||||
DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
|
||||
TAG_NAME=${{ github.event.inputs.dockerImageTag }}
|
||||
TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
|
||||
if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then
|
||||
DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*}"
|
||||
else
|
||||
TAG_NAME=${{ github.event.inputs.dockerImageTag }}
|
||||
if [[ ${TAG_NAME} == *dev* ]]; then
|
||||
DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
|
||||
else
|
||||
DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:latest"
|
||||
fi
|
||||
echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
|
||||
--build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
|
||||
echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} \
|
||||
--build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=${GITHUB_SHA::8} --no-cache \
|
||||
${DOCKER_IMAGE_TAGS} .
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
|
|
@ -146,5 +138,4 @@ jobs:
|
|||
password: ${{ secrets.DOCKERHUB_TOKEN }}
|
||||
- name: Docker Buildx (build-and-push)
|
||||
run: |
|
||||
sudo sync && echo 3 | sudo tee /proc/sys/vm/drop_caches && free -m
|
||||
docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }} -f installer/Dockerfile
|
||||
|
|
|
|||
|
|
@ -178,10 +178,8 @@ ui/node_modules
|
|||
ui/dist
|
||||
apps/static
|
||||
models/
|
||||
apps/xpack
|
||||
!apps/**/models/
|
||||
data
|
||||
.dev
|
||||
poetry.lock
|
||||
apps/setting/models_provider/impl/*/icon/
|
||||
tmp/
|
||||
apps/setting/models_provider/impl/*/icon/
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
[files]
|
||||
extend-exclude = [
|
||||
'apps/setting/models_provider/impl/*/icon/*'
|
||||
]
|
||||
]
|
||||
157
README.md
157
README.md
|
|
@ -1,126 +1,95 @@
|
|||
<p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
|
||||
<h3 align="center">Open-source platform for building enterprise-grade agents</h3>
|
||||
<h3 align="center">强大易用的企业级智能体平台</h3>
|
||||
<p align="center"><a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a></p>
|
||||
<h3 align="center">基于大模型和 RAG 的知识库问答系统</h3>
|
||||
<h4 align="center">Ready-to-use, flexible RAG Chatbot</h4>
|
||||
<p align="center">
|
||||
<a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
|
||||
<a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: auto;" /></a>
|
||||
<a href="https://market.aliyun.com/products/53690006/cmjj00067609.html?userCode=kmemb8jp" target="_blank"><img src="https://img.alicdn.com/imgextra/i2/O1CN01H5JIwY1rZ0OobDjnJ_!!6000000005644-2-tps-1000-216.png" alt="1Panel-dev%2FMaxKB | Aliyun" style="width: 250px; height: auto;" /></a>
|
||||
</p>
|
||||
<p align="center">
|
||||
<a href="README_EN.md"><img src="https://img.shields.io/badge/English_README-blue" alt="English README"></a>
|
||||
<a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb" alt="License: GPL v3"></a>
|
||||
<a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
|
||||
<a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?color=%231890FF&style=flat-square" alt="Stars"></a>
|
||||
<a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a><br/>
|
||||
[<a href="/README_CN.md">中文(简体)</a>] | [<a href="/README.md">English</a>]
|
||||
<a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?style=flat-square" alt="Stars"></a>
|
||||
<a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>
|
||||
</p>
|
||||
<hr/>
|
||||
|
||||
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
|
||||
MaxKB = Max Knowledge Base，是一款基于大语言模型和 RAG 的开源知识库问答系统，广泛应用于智能客服、企业内部知识库、学术研究与教育等场景。
|
||||
|
||||
- **RAG Pipeline**: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization. This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
|
||||
- **Agentic Workflow**: Equipped with a powerful workflow engine, function library and MCP tool-use, enabling the orchestration of AI processes to meet the needs of complex business scenarios.
|
||||
- **Seamless Integration**: Facilitates zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A capabilities to enhance user satisfaction.
|
||||
- **Model-Agnostic**: Supports various large models, including private models (such as DeepSeek, Llama, Qwen, etc.) and public models (like OpenAI, Claude, Gemini, etc.).
|
||||
- **Multi Modal**: Native support for input and output text, image, audio and video.
|
||||
- **开箱即用**：支持直接上传文档 / 自动爬取在线文档，支持文本自动拆分、向量化和 RAG（检索增强生成），有效减少大模型幻觉，智能问答交互体验好；
|
||||
- **模型中立**：支持对接各种大模型，包括本地私有大模型（Llama 3 / Qwen 2 等）、国内公共大模型（通义千问 / 腾讯混元 / 字节豆包 / 百度千帆 / 智谱 AI / Kimi 等）和国外公共大模型（OpenAI / Claude / Gemini 等）；
|
||||
- **灵活编排**：内置强大的工作流引擎和函数库，支持编排 AI 工作过程，满足复杂业务场景下的需求；
|
||||
- **无缝嵌入**：支持零编码快速嵌入到第三方业务系统，让已有系统快速拥有智能问答能力，提高用户满意度。
|
||||
|
||||
## Quick start
|
||||
MaxKB 三分钟视频介绍：https://www.bilibili.com/video/BV18JypYeEkj/
|
||||
|
||||
Execute the script below to start a MaxKB container using Docker:
|
||||
## 快速开始
|
||||
|
||||
```bash
|
||||
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages 1panel/maxkb
|
||||
```
|
||||
# Linux 机器
|
||||
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages cr2.fit2cloud.com/1panel/maxkb
|
||||
|
||||
# Windows 机器
|
||||
docker run -d --name=maxkb --restart=always -p 8080:8080 -v C:/maxkb:/var/lib/postgresql/data -v C:/python-packages:/opt/maxkb/app/sandbox/python-packages cr2.fit2cloud.com/1panel/maxkb
|
||||
|
||||
# 用户名: admin
|
||||
# 密码: MaxKB@123..
|
||||
```
|
||||
|
||||
Access MaxKB web interface at `http://your_server_ip:8080` with default admin credentials:
|
||||
- 你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 MaxKB；
|
||||
- 如果是内网环境，推荐使用 [离线安装包](https://community.fit2cloud.com/#/products/maxkb/downloads) 进行安装部署；
|
||||
- MaxKB 产品版本分为社区版和专业版，详情请参见：[MaxKB 产品版本对比](https://maxkb.cn/pricing.html)；
|
||||
- 如果您需要向团队介绍 MaxKB，可以使用这个 [官方 PPT 材料](https://maxkb.cn/download/introduce-maxkb_202501.pdf)。
|
||||
|
||||
- username: admin
|
||||
- password: MaxKB@123..
|
||||
如你有更多问题，可以查看使用手册，或者通过论坛与我们交流。
|
||||
|
||||
中国用户如遇到 Docker 镜像 Pull 失败问题，请参照该 [离线安装文档](https://maxkb.cn/docs/installation/offline_installtion/) 进行安装。
|
||||
- [使用手册](https://maxkb.cn/docs/)
|
||||
- [论坛求助](https://bbs.fit2cloud.com/c/mk/11)
|
||||
- 技术交流群
|
||||
|
||||
## Screenshots
|
||||
<image height="150px" width="150px" src="https://github.com/1Panel-dev/MaxKB/assets/52996290/a083d214-02be-4178-a1db-4f428124153a"/>
|
||||
|
||||
## 案例展示
|
||||
|
||||
MaxKB 自发布以来，日均安装下载超过 1000 次，被广泛应用于智能客服、企业内部知识库、学术教育研究等场景。
|
||||
|
||||
- [华莱士智能客服](https://ai.cnhls.com/ui/chat/1fc0f6a9b5a6fb27)
|
||||
- [JumpServer 小助手](https://maxkb.fit2cloud.com/ui/chat/b4e27a6e72d349a3)
|
||||
- [信用深圳](https://www.szcredit.org.cn/#/index)
|
||||
- [重庆交通大学教务在线](http://jwc.anyquestion.cn/ui/chat/b75496390f7d935d)
|
||||
|
||||
## UI 展示
|
||||
|
||||
<table style="border-collapse: collapse; border: 1px solid black;">
|
||||
<tr>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/overview.png" alt="MaxKB Demo1" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/screenshot-models.png" alt="MaxKB Demo2" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/d87395fa-a8d7-401c-82bf-c6e475d10ae9" alt="MaxKB Demo1" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/47c35ee4-3a3b-4bd4-9f4f-ee20788b2b9a" alt="MaxKB Demo2" /></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/screenshot-knowledge.png" alt="MaxKB Demo3" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/screenshot-function.png" alt="MaxKB Demo4" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/9a1043cb-fa62-4f71-b9a3-0b46fa59a70e" alt="MaxKB Demo3" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/3407ce9a-779c-4eb4-858e-9441a2ddc664" alt="MaxKB Demo4" /></td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## Technical stack
|
||||
## 技术栈
|
||||
|
||||
- Frontend：[Vue.js](https://vuejs.org/)
|
||||
- Backend：[Python / Django](https://www.djangoproject.com/)
|
||||
- LLM Framework：[LangChain](https://www.langchain.com/)
|
||||
- Database：[PostgreSQL + pgvector](https://www.postgresql.org/)
|
||||
- 前端：[Vue.js](https://cn.vuejs.org/)
|
||||
- 后端：[Python / Django](https://www.djangoproject.com/)
|
||||
- LangChain：[LangChain](https://www.langchain.com/)
|
||||
- 向量数据库：[PostgreSQL / pgvector](https://www.postgresql.org/)
|
||||
|
||||
## Feature Comparison
|
||||
## 飞致云的其他明星项目
|
||||
|
||||
<table style="width: 100%;">
|
||||
<tr>
|
||||
<th align="center">Feature</th>
|
||||
<th align="center">LangChain</th>
|
||||
<th align="center">Dify.AI</th>
|
||||
<th align="center">Flowise</th>
|
||||
<th align="center">MaxKB <br>（Built upon LangChain）</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Supported LLMs</td>
|
||||
<td align="center">Rich Variety</td>
|
||||
<td align="center">Rich Variety</td>
|
||||
<td align="center">Rich Variety</td>
|
||||
<td align="center">Rich Variety</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">RAG Engine</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Agent</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Workflow</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Observability</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">SSO/Access control</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅ (Pro)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">On-premise Deployment</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## Star History
|
||||
|
||||
[](https://star-history.com/#1Panel-dev/MaxKB&Date)
|
||||
- [1Panel](https://github.com/1panel-dev/1panel/) - 现代化、开源的 Linux 服务器运维管理面板
|
||||
- [JumpServer](https://github.com/jumpserver/jumpserver/) - 广受欢迎的开源堡垒机
|
||||
- [DataEase](https://github.com/dataease/dataease/) - 人人可用的开源数据可视化分析工具
|
||||
- [MeterSphere](https://github.com/metersphere/metersphere/) - 新一代的开源持续测试工具
|
||||
- [Halo](https://github.com/halo-dev/halo/) - 强大易用的开源建站工具
|
||||
|
||||
## License
|
||||
|
||||
Copyright (c) 2014-2025 飞致云 FIT2CLOUD, All rights reserved.
|
||||
|
||||
Licensed under The GNU General Public License version 3 (GPLv3) (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
|
||||
|
||||
<https://www.gnu.org/licenses/gpl-3.0.html>
|
||||
|
|
|
|||
89
README_CN.md
89
README_CN.md
|
|
@ -1,89 +0,0 @@
|
|||
<p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
|
||||
<h3 align="center">强大易用的企业级智能体平台</h3>
|
||||
<p align="center">
|
||||
<a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: auto;" /></a>
|
||||
</p>
|
||||
<p align="center">
|
||||
<a href="README_EN.md"><img src="https://img.shields.io/badge/English_README-blue" alt="English README"></a>
|
||||
<a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
|
||||
<a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
|
||||
<a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?style=flat-square" alt="Stars"></a>
|
||||
<a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>
|
||||
<a href="https://gitee.com/fit2cloud-feizhiyun/MaxKB"><img src="https://gitee.com/fit2cloud-feizhiyun/MaxKB/badge/star.svg?theme=gvp" alt="Gitee Stars"></a>
|
||||
<a href="https://gitcode.com/feizhiyun/MaxKB"><img src="https://gitcode.com/feizhiyun/MaxKB/star/badge.svg" alt="GitCode Stars"></a>
|
||||
</p>
|
||||
<hr/>
|
||||
|
||||
MaxKB = Max Knowledge Brain，是一款强大易用的企业级智能体平台，支持 RAG 检索增强生成、工作流编排、MCP 工具调用能力。MaxKB 支持对接各种主流大语言模型，广泛应用于智能客服、企业内部知识库问答、员工助手、学术研究与教育等场景。
|
||||
|
||||
- **RAG 检索增强生成**：高效搭建本地 AI 知识库，支持直接上传文档 / 自动爬取在线文档，支持文本自动拆分、向量化，有效减少大模型幻觉，提升问答效果；
|
||||
- **灵活编排**：内置强大的工作流引擎、函数库和 MCP 工具调用能力，支持编排 AI 工作过程，满足复杂业务场景下的需求；
|
||||
- **无缝嵌入**：支持零编码快速嵌入到第三方业务系统，让已有系统快速拥有智能问答能力，提高用户满意度；
|
||||
- **模型中立**：支持对接各种大模型，包括本地私有大模型（DeepSeek R1 / Llama 3 / Qwen 2 等）、国内公共大模型（通义千问 / 腾讯混元 / 字节豆包 / 百度千帆 / 智谱 AI / Kimi 等）和国外公共大模型（OpenAI / Claude / Gemini 等）。
|
||||
|
||||
MaxKB 三分钟视频介绍：https://www.bilibili.com/video/BV18JypYeEkj/
|
||||
|
||||
## 快速开始
|
||||
|
||||
```
|
||||
# Linux 机器
|
||||
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages registry.fit2cloud.com/maxkb/maxkb
|
||||
|
||||
# Windows 机器
|
||||
docker run -d --name=maxkb --restart=always -p 8080:8080 -v C:/maxkb:/var/lib/postgresql/data -v C:/python-packages:/opt/maxkb/app/sandbox/python-packages registry.fit2cloud.com/maxkb/maxkb
|
||||
|
||||
# 用户名: admin
|
||||
# 密码: MaxKB@123..
|
||||
```
|
||||
|
||||
- 你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 MaxKB；
|
||||
- 如果是内网环境，推荐使用 [离线安装包](https://community.fit2cloud.com/#/products/maxkb/downloads) 进行安装部署；
|
||||
- MaxKB 产品版本分为社区版和专业版，详情请参见：[MaxKB 产品版本对比](https://maxkb.cn/pricing.html)；
|
||||
- 如果您需要向团队介绍 MaxKB，可以使用这个 [官方 PPT 材料](https://maxkb.cn/download/introduce-maxkb_202503.pdf)。
|
||||
|
||||
如你有更多问题，可以查看使用手册，或者通过论坛与我们交流。
|
||||
|
||||
- [案例展示](USE-CASES.md)
|
||||
- [使用手册](https://maxkb.cn/docs/)
|
||||
- [论坛求助](https://bbs.fit2cloud.com/c/mk/11)
|
||||
- 技术交流群
|
||||
|
||||
<image height="150px" width="150px" src="https://github.com/1Panel-dev/MaxKB/assets/52996290/a083d214-02be-4178-a1db-4f428124153a"/>
|
||||
|
||||
## UI 展示
|
||||
|
||||
<table style="border-collapse: collapse; border: 1px solid black;">
|
||||
<tr>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/d87395fa-a8d7-401c-82bf-c6e475d10ae9" alt="MaxKB Demo1" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/47c35ee4-3a3b-4bd4-9f4f-ee20788b2b9a" alt="MaxKB Demo2" /></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/9a1043cb-fa62-4f71-b9a3-0b46fa59a70e" alt="MaxKB Demo3" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/3407ce9a-779c-4eb4-858e-9441a2ddc664" alt="MaxKB Demo4" /></td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## 技术栈
|
||||
|
||||
- 前端：[Vue.js](https://cn.vuejs.org/)
|
||||
- 后端：[Python / Django](https://www.djangoproject.com/)
|
||||
- LangChain：[LangChain](https://www.langchain.com/)
|
||||
- 向量数据库：[PostgreSQL / pgvector](https://www.postgresql.org/)
|
||||
|
||||
## 飞致云的其他明星项目
|
||||
|
||||
- [1Panel](https://github.com/1panel-dev/1panel/) - 现代化、开源的 Linux 服务器运维管理面板
|
||||
- [JumpServer](https://github.com/jumpserver/jumpserver/) - 广受欢迎的开源堡垒机
|
||||
- [DataEase](https://github.com/dataease/dataease/) - 人人可用的开源数据可视化分析工具
|
||||
- [MeterSphere](https://github.com/metersphere/metersphere/) - 新一代的开源持续测试工具
|
||||
- [Halo](https://github.com/halo-dev/halo/) - 强大易用的开源建站工具
|
||||
|
||||
## License
|
||||
|
||||
Copyright (c) 2014-2025 飞致云 FIT2CLOUD, All rights reserved.
|
||||
|
||||
Licensed under The GNU General Public License version 3 (GPLv3) (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
|
||||
|
||||
<https://www.gnu.org/licenses/gpl-3.0.html>
|
||||
|
||||
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
|
||||
|
|
@ -0,0 +1,54 @@
|
|||
<p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
|
||||
<h3 align="center">Top-Rated Retrieval-Augmented Generation (RAG) Chatbot.</h3>
|
||||
<p align="center"><a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a></p>
|
||||
<p align="center">
|
||||
<a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
|
||||
<a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
|
||||
<a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?color=%231890FF&style=flat-square" alt="Stars"></a>
|
||||
<a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>
|
||||
</p>
|
||||
<hr/>
|
||||
|
||||
MaxKB = Max Knowledge Base, it is a chatbot based on Large Language Models (LLM) and Retrieval-Augmented Generation (RAG). MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
|
||||
|
||||
- **Ready-to-Use**: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization, and RAG (Retrieval-Augmented Generation). This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
|
||||
- **Model-Agnostic**: Supports various large models, including private models (such as Llama 3, Qwen 2, etc.) and public models (like OpenAI, Claude, Gemini, etc.).
|
||||
- **Flexible Orchestration**: Equipped with a powerful workflow engine and function library, enabling the orchestration of AI processes to meet the needs of complex business scenarios.
|
||||
- **Seamless Integration**: Facilitates zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A capabilities to enhance user satisfaction.
|
||||
|
||||
## Quick start
|
||||
|
||||
```
|
||||
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages cr2.fit2cloud.com/1panel/maxkb
|
||||
|
||||
# username: admin
|
||||
# pass: MaxKB@123..
|
||||
```
|
||||
|
||||
## Screenshots
|
||||
|
||||
<table style="border-collapse: collapse; border: 1px solid black;">
|
||||
<tr>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/d87395fa-a8d7-401c-82bf-c6e475d10ae9" alt="MaxKB Demo1" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/47c35ee4-3a3b-4bd4-9f4f-ee20788b2b9a" alt="MaxKB Demo2" /></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/1c0c5e32-6194-47f9-bc32-487996349d9c" alt="MaxKB Demo3" /></td>
|
||||
<td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/f32f5fe9-a769-488c-ae0e-783bc2b89b3e" alt="MaxKB Demo4" /></td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## Technical stack
|
||||
|
||||
- Frontend：[Vue.js](https://vuejs.org/)
|
||||
- Backend：[Python / Django](https://www.djangoproject.com/)
|
||||
- LangChain：[LangChain](https://www.langchain.com/)
|
||||
- Vector DB：[PostgreSQL / pgvector](https://www.postgresql.org/)
|
||||
|
||||
## License
|
||||
|
||||
Licensed under The GNU General Public License version 3 (GPLv3) (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
|
||||
|
||||
<https://www.gnu.org/licenses/gpl-3.0.html>
|
||||
|
||||
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
|
||||
39
USE-CASES.md
39
USE-CASES.md
|
|
@ -1,39 +0,0 @@
|
|||
<h3 align="center">MaxKB 应用案例，持续更新中...</h3>
|
||||
|
||||
------------------------------
|
||||
|
||||
- [MaxKB 应用案例：中国农业大学-小鹉哥](https://mp.weixin.qq.com/s/4g_gySMBQZCJ9OZ-yBkmvw)
|
||||
- [MaxKB 应用案例：东北财经大学-小银杏](https://mp.weixin.qq.com/s/3BoxkY7EMomMmmvFYxvDIA)
|
||||
- [MaxKB 应用案例：中铁水务](https://mp.weixin.qq.com/s/voNAddbK2CJOrJJs1ewZ8g)
|
||||
- [MaxKB 应用案例：解放军总医院](https://mp.weixin.qq.com/s/ETrZC-vrA4Aap0eF-15EeQ)
|
||||
- [MaxKB 应用案例：无锡市数据局](https://mp.weixin.qq.com/s/enfUFLevvL_La74PQ0kIXw)
|
||||
- [MaxKB 应用案例：中核西仪研究院-西仪睿答](https://mp.weixin.qq.com/s/CbKr4mev8qahKLAtV6Dxdg)
|
||||
- [MaxKB 应用案例：南京中医药大学](https://mp.weixin.qq.com/s/WUmAKYbZjp3272HIecpRFA)
|
||||
- [MaxKB 应用案例：西北电力设计院-AI数字助理Memex](https://mp.weixin.qq.com/s/ezHFdB7C7AVL9MTtDwYGSA)
|
||||
- [MaxKB 应用案例：西安国际医院中心医院-国医小助](https://mp.weixin.qq.com/s/DSOUvwrQrxbqQxKBilTCFQ)
|
||||
- [MaxKB 应用案例：华莱士智能AI客服助手上线啦！](https://www.bilibili.com/video/BV1hQtVeXEBL)
|
||||
- [MaxKB 应用案例：把医疗行业知识转化为知识库问答助手！](https://www.bilibili.com/video/BV157wme9EgB)
|
||||
- [MaxKB 应用案例：会展AI智能客服体验](https://www.bilibili.com/video/BV1J7BqY6EKA)
|
||||
- [MaxKB 应用案例：孩子要上幼儿园了，AI 智能助手择校好帮手](https://www.bilibili.com/video/BV1wKrhYvEer)
|
||||
- [MaxKB 应用案例：产品使用指南AI助手，新手小白也能轻松搞定！](https://www.bilibili.com/video/BV1Yz6gYtEqX)
|
||||
- [MaxKB 应用案例：生物医药AI客服智能体验!](https://www.bilibili.com/video/BV13JzvYsE3e)
|
||||
- [MaxKB 应用案例：高校行政管理AI小助手](https://www.bilibili.com/video/BV1yvBMYvEdy)
|
||||
- [MaxKB 应用案例：岳阳市人民医院-OA小助手](https://mp.weixin.qq.com/s/O94Qo3UH-MiUtDdWCVg8sQ)
|
||||
- [MaxKB 应用案例：常熟市第一人民医院](https://mp.weixin.qq.com/s/s5XXGTR3_MUo41NbJ8WzZQ)
|
||||
- [MaxKB 应用案例：华北水利水电大学](https://mp.weixin.qq.com/s/PoOFAcMCr9qJdvSj8c08qg)
|
||||
- [MaxKB 应用案例：唐山海事局-“小海”AI语音助手](https://news.qq.com/rain/a/20250223A030BE00)
|
||||
- [MaxKB 应用案例：湖南汉寿政务](http://hsds.hsdj.gov.cn:19999/ui/chat/a2c976736739aadc)
|
||||
- [MaxKB 应用案例：广州市妇女儿童医疗中心-AI医疗数据分类分级小助手](https://mp.weixin.qq.com/s/YHUMkUOAaUomBV8bswpK3g)
|
||||
- [MaxKB 应用案例：苏州热工研究院有限公司-维修大纲评估质量自查AI小助手](https://mp.weixin.qq.com/s/Ts5FQdnv7Tu9Jp7bvofCVA)
|
||||
- [MaxKB 应用案例：国核自仪系统工程有限公司-NuCON AI帮](https://mp.weixin.qq.com/s/HNPc7u5xVfGLJr8IQz3vjQ)
|
||||
- [MaxKB 应用案例：深圳通开启Deep Seek智能应用新篇章](https://mp.weixin.qq.com/s/SILN0GSescH9LyeQqYP0VQ)
|
||||
- [MaxKB 应用案例：南通智慧出行领跑长三角！首款接入DeepSeek的"畅行南通"APP上线AI新场景](https://mp.weixin.qq.com/s/WEC9UQ6msY0VS8LhTZh-Ew)
|
||||
- [MaxKB 应用案例：中船动力人工智能"智慧动力云助手"及首批数字员工正式上线](https://mp.weixin.qq.com/s/OGcEkjh9DzGO1Tkc9nr7qg)
|
||||
- [MaxKB 应用案例：AI+矿山：DeepSeek助力绿色智慧矿山智慧“升级”](https://mp.weixin.qq.com/s/SZstxTvVoLZg0ECbZbfpIA)
|
||||
- [MaxKB 应用案例：DeepSeek落地弘盛铜业：国产大模型点亮"黑灯工厂"新引擎](https://mp.weixin.qq.com/s/Eczdx574MS5RMF7WfHN7_A)
|
||||
- [MaxKB 应用案例：拥抱智能时代！中国五矿以 “AI+”赋能企业发展](https://mp.weixin.qq.com/s/D5vBtlX2E81pWE3_2OgWSw)
|
||||
- [MaxKB 应用案例：DeepSeek赋能中冶武勘AI智能体](https://mp.weixin.qq.com/s/8m0vxGcWXNdZazziQrLyxg)
|
||||
- [MaxKB 应用案例：重磅！陕西广电网络“秦岭云”平台实现DeepSeek本地化部署](https://mp.weixin.qq.com/s/ZKmEU_wWShK1YDomKJHQeA)
|
||||
- [MaxKB 应用案例：粤海集团完成DeepSeek私有化部署，助力集团智能化管理](https://mp.weixin.qq.com/s/2JbVp0-kr9Hfp-0whH4cvg)
|
||||
- [MaxKB 应用案例：建筑材料工业信息中心完成DeepSeek本地化部署，推动行业数智化转型新发展](https://mp.weixin.qq.com/s/HThGSnND3qDF8ySEqiM4jw)
|
||||
- [MaxKB 应用案例：一起DeepSeek！福建设计以AI大模型开启新篇章](https://mp.weixin.qq.com/s/m67e-H7iQBg3d24NM82UjA)
|
||||
|
|
@ -9,7 +9,6 @@
|
|||
from abc import abstractmethod
|
||||
from typing import Type, List
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from langchain.chat_models.base import BaseChatModel
|
||||
from langchain.schema import BaseMessage
|
||||
from rest_framework import serializers
|
||||
|
|
@ -24,7 +23,7 @@ from common.util.field_message import ErrMessage
|
|||
class ModelField(serializers.Field):
|
||||
def to_internal_value(self, data):
|
||||
if not isinstance(data, BaseChatModel):
|
||||
self.fail(_('Model type error'), value=data)
|
||||
self.fail('模型类型错误', value=data)
|
||||
return data
|
||||
|
||||
def to_representation(self, value):
|
||||
|
|
@ -34,7 +33,7 @@ class ModelField(serializers.Field):
|
|||
class MessageField(serializers.Field):
|
||||
def to_internal_value(self, data):
|
||||
if not isinstance(data, BaseMessage):
|
||||
self.fail(_('Message type error'), value=data)
|
||||
self.fail('message类型错误', value=data)
|
||||
return data
|
||||
|
||||
def to_representation(self, value):
|
||||
|
|
@ -53,42 +52,37 @@ class IChatStep(IBaseChatPipelineStep):
|
|||
class InstanceSerializer(serializers.Serializer):
|
||||
# 对话列表
|
||||
message_list = serializers.ListField(required=True, child=MessageField(required=True),
|
||||
error_messages=ErrMessage.list(_("Conversation list")))
|
||||
model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid(_("Model id")))
|
||||
error_messages=ErrMessage.list("对话列表"))
|
||||
model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid("模型id"))
|
||||
# 段落列表
|
||||
paragraph_list = serializers.ListField(error_messages=ErrMessage.list(_("Paragraph List")))
|
||||
paragraph_list = serializers.ListField(error_messages=ErrMessage.list("段落列表"))
|
||||
# 对话id
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
# 用户问题
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.uuid(_("User Questions")))
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.uuid("用户问题"))
|
||||
# 后置处理器
|
||||
post_response_handler = InstanceField(model_type=PostResponseHandler,
|
||||
error_messages=ErrMessage.base(_("Post-processor")))
|
||||
error_messages=ErrMessage.base("用户问题"))
|
||||
# 补全问题
|
||||
padding_problem_text = serializers.CharField(required=False,
|
||||
error_messages=ErrMessage.base(_("Completion Question")))
|
||||
padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.base("补全问题"))
|
||||
# 是否使用流的形式输出
|
||||
stream = serializers.BooleanField(required=False, error_messages=ErrMessage.base(_("Streaming Output")))
|
||||
client_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client id")))
|
||||
client_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client Type")))
|
||||
stream = serializers.BooleanField(required=False, error_messages=ErrMessage.base("流式输出"))
|
||||
client_id = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端id"))
|
||||
client_type = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端类型"))
|
||||
# 未查询到引用分段
|
||||
no_references_setting = NoReferencesSetting(required=True,
|
||||
error_messages=ErrMessage.base(_("No reference segment settings")))
|
||||
no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base("无引用分段设置"))
|
||||
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
|
||||
model_setting = serializers.DictField(required=True, allow_null=True,
|
||||
error_messages=ErrMessage.dict(_("Model settings")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
model_params_setting = serializers.DictField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.dict(_("Model parameter settings")))
|
||||
error_messages=ErrMessage.dict("模型参数设置"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
message_list: List = self.initial_data.get('message_list')
|
||||
for message in message_list:
|
||||
if not isinstance(message, BaseMessage):
|
||||
raise Exception(_("message type error"))
|
||||
raise Exception("message 类型错误")
|
||||
|
||||
def get_step_serializer(self, manage: PipelineManage) -> Type[serializers.Serializer]:
|
||||
return self.InstanceSerializer
|
||||
|
|
@ -106,5 +100,5 @@ class IChatStep(IBaseChatPipelineStep):
|
|||
paragraph_list=None,
|
||||
manage: PipelineManage = None,
|
||||
padding_problem_text: str = None, stream: bool = True, client_id=None, client_type=None,
|
||||
no_references_setting=None, model_params_setting=None, model_setting=None, **kwargs):
|
||||
no_references_setting=None, model_params_setting=None, **kwargs):
|
||||
pass
|
||||
|
|
|
|||
|
|
@ -14,7 +14,6 @@ from typing import List
|
|||
|
||||
from django.db.models import QuerySet
|
||||
from django.http import StreamingHttpResponse
|
||||
from django.utils.translation import gettext as _
|
||||
from langchain.chat_models.base import BaseChatModel
|
||||
from langchain.schema import BaseMessage
|
||||
from langchain.schema.messages import HumanMessage, AIMessage
|
||||
|
|
@ -24,7 +23,6 @@ from rest_framework import status
|
|||
from application.chat_pipeline.I_base_chat_pipeline import ParagraphPipelineModel
|
||||
from application.chat_pipeline.pipeline_manage import PipelineManage
|
||||
from application.chat_pipeline.step.chat_step.i_chat_step import IChatStep, PostResponseHandler
|
||||
from application.flow.tools import Reasoning
|
||||
from application.models.api_key_model import ApplicationPublicAccessClient
|
||||
from common.constants.authentication_type import AuthenticationType
|
||||
from setting.models_provider.tools import get_model_instance_by_model_user_id
|
||||
|
|
@ -64,54 +62,17 @@ def event_content(response,
|
|||
problem_text: str,
|
||||
padding_problem_text: str = None,
|
||||
client_id=None, client_type=None,
|
||||
is_ai_chat: bool = None,
|
||||
model_setting=None):
|
||||
if model_setting is None:
|
||||
model_setting = {}
|
||||
reasoning_content_enable = model_setting.get('reasoning_content_enable', False)
|
||||
reasoning_content_start = model_setting.get('reasoning_content_start', '<think>')
|
||||
reasoning_content_end = model_setting.get('reasoning_content_end', '</think>')
|
||||
reasoning = Reasoning(reasoning_content_start,
|
||||
reasoning_content_end)
|
||||
is_ai_chat: bool = None):
|
||||
all_text = ''
|
||||
reasoning_content = ''
|
||||
try:
|
||||
response_reasoning_content = False
|
||||
for chunk in response:
|
||||
reasoning_chunk = reasoning.get_reasoning_content(chunk)
|
||||
content_chunk = reasoning_chunk.get('content')
|
||||
if 'reasoning_content' in chunk.additional_kwargs:
|
||||
response_reasoning_content = True
|
||||
reasoning_content_chunk = chunk.additional_kwargs.get('reasoning_content', '')
|
||||
else:
|
||||
reasoning_content_chunk = reasoning_chunk.get('reasoning_content')
|
||||
all_text += content_chunk
|
||||
if reasoning_content_chunk is None:
|
||||
reasoning_content_chunk = ''
|
||||
reasoning_content += reasoning_content_chunk
|
||||
all_text += chunk.content
|
||||
yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
|
||||
[], content_chunk,
|
||||
[], chunk.content,
|
||||
False,
|
||||
0, 0, {'node_is_end': False,
|
||||
'view_type': 'many_view',
|
||||
'node_type': 'ai-chat-node',
|
||||
'real_node_id': 'ai-chat-node',
|
||||
'reasoning_content': reasoning_content_chunk if reasoning_content_enable else ''})
|
||||
reasoning_chunk = reasoning.get_end_reasoning_content()
|
||||
all_text += reasoning_chunk.get('content')
|
||||
reasoning_content_chunk = ""
|
||||
if not response_reasoning_content:
|
||||
reasoning_content_chunk = reasoning_chunk.get(
|
||||
'reasoning_content')
|
||||
yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
|
||||
[], reasoning_chunk.get('content'),
|
||||
False,
|
||||
0, 0, {'node_is_end': False,
|
||||
'view_type': 'many_view',
|
||||
'node_type': 'ai-chat-node',
|
||||
'real_node_id': 'ai-chat-node',
|
||||
'reasoning_content'
|
||||
: reasoning_content_chunk if reasoning_content_enable else ''})
|
||||
'node_type': 'ai-chat-node'})
|
||||
# 获取token
|
||||
if is_ai_chat:
|
||||
try:
|
||||
|
|
@ -124,11 +85,8 @@ def event_content(response,
|
|||
request_token = 0
|
||||
response_token = 0
|
||||
write_context(step, manage, request_token, response_token, all_text)
|
||||
asker = manage.context.get('form_data', {}).get('asker', None)
|
||||
post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
|
||||
all_text, manage, step, padding_problem_text, client_id,
|
||||
reasoning_content=reasoning_content if reasoning_content_enable else ''
|
||||
, asker=asker)
|
||||
all_text, manage, step, padding_problem_text, client_id)
|
||||
yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
|
||||
[], '', True,
|
||||
request_token, response_token,
|
||||
|
|
@ -137,21 +95,16 @@ def event_content(response,
|
|||
add_access_num(client_id, client_type, manage.context.get('application_id'))
|
||||
except Exception as e:
|
||||
logging.getLogger("max_kb_error").error(f'{str(e)}:{traceback.format_exc()}')
|
||||
all_text = 'Exception:' + str(e)
|
||||
all_text = '异常' + str(e)
|
||||
write_context(step, manage, 0, 0, all_text)
|
||||
asker = manage.context.get('form_data', {}).get('asker', None)
|
||||
post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
|
||||
all_text, manage, step, padding_problem_text, client_id, reasoning_content='',
|
||||
asker=asker)
|
||||
all_text, manage, step, padding_problem_text, client_id)
|
||||
add_access_num(client_id, client_type, manage.context.get('application_id'))
|
||||
yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
|
||||
[], all_text,
|
||||
False,
|
||||
0, 0, {'node_is_end': False,
|
||||
'view_type': 'many_view',
|
||||
'node_type': 'ai-chat-node',
|
||||
'real_node_id': 'ai-chat-node',
|
||||
'reasoning_content': ''})
|
||||
yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), all_text,
|
||||
'ai-chat-node',
|
||||
[], True, 0, 0,
|
||||
{'node_is_end': True, 'view_type': 'many_view',
|
||||
'node_type': 'ai-chat-node'})
|
||||
|
||||
|
||||
class BaseChatStep(IChatStep):
|
||||
|
|
@ -168,20 +121,17 @@ class BaseChatStep(IChatStep):
|
|||
client_id=None, client_type=None,
|
||||
no_references_setting=None,
|
||||
model_params_setting=None,
|
||||
model_setting=None,
|
||||
**kwargs):
|
||||
chat_model = get_model_instance_by_model_user_id(model_id, user_id,
|
||||
**model_params_setting) if model_id is not None else None
|
||||
if stream:
|
||||
return self.execute_stream(message_list, chat_id, problem_text, post_response_handler, chat_model,
|
||||
paragraph_list,
|
||||
manage, padding_problem_text, client_id, client_type, no_references_setting,
|
||||
model_setting)
|
||||
manage, padding_problem_text, client_id, client_type, no_references_setting)
|
||||
else:
|
||||
return self.execute_block(message_list, chat_id, problem_text, post_response_handler, chat_model,
|
||||
paragraph_list,
|
||||
manage, padding_problem_text, client_id, client_type, no_references_setting,
|
||||
model_setting)
|
||||
manage, padding_problem_text, client_id, client_type, no_references_setting)
|
||||
|
||||
def get_details(self, manage, **kwargs):
|
||||
return {
|
||||
|
|
@ -222,8 +172,7 @@ class BaseChatStep(IChatStep):
|
|||
return iter(
|
||||
[AIMessageChunk(content=no_references_setting.get('value').replace('{question}', problem_text))]), False
|
||||
if chat_model is None:
|
||||
return iter([AIMessageChunk(
|
||||
_('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.'))]), False
|
||||
return iter([AIMessageChunk('抱歉，没有配置 AI 模型，请先去应用中设置 AI 模型。')]), False
|
||||
else:
|
||||
return chat_model.stream(message_list), True
|
||||
|
||||
|
|
@ -236,15 +185,14 @@ class BaseChatStep(IChatStep):
|
|||
manage: PipelineManage = None,
|
||||
padding_problem_text: str = None,
|
||||
client_id=None, client_type=None,
|
||||
no_references_setting=None,
|
||||
model_setting=None):
|
||||
no_references_setting=None):
|
||||
chat_result, is_ai_chat = self.get_stream_result(message_list, chat_model, paragraph_list,
|
||||
no_references_setting, problem_text)
|
||||
chat_record_id = uuid.uuid1()
|
||||
r = StreamingHttpResponse(
|
||||
streaming_content=event_content(chat_result, chat_id, chat_record_id, paragraph_list,
|
||||
post_response_handler, manage, self, chat_model, message_list, problem_text,
|
||||
padding_problem_text, client_id, client_type, is_ai_chat, model_setting),
|
||||
padding_problem_text, client_id, client_type, is_ai_chat),
|
||||
content_type='text/event-stream;charset=utf-8')
|
||||
|
||||
r['Cache-Control'] = 'no-cache'
|
||||
|
|
@ -258,17 +206,17 @@ class BaseChatStep(IChatStep):
|
|||
problem_text=None):
|
||||
if paragraph_list is None:
|
||||
paragraph_list = []
|
||||
directly_return_chunk_list = [AIMessageChunk(content=paragraph.content)
|
||||
for paragraph in paragraph_list if (
|
||||
paragraph.hit_handling_method == 'directly_return' and paragraph.similarity >= paragraph.directly_return_similarity)]
|
||||
|
||||
directly_return_chunk_list = [AIMessage(content=paragraph.content)
|
||||
for paragraph in paragraph_list if
|
||||
paragraph.hit_handling_method == 'directly_return']
|
||||
if directly_return_chunk_list is not None and len(directly_return_chunk_list) > 0:
|
||||
return directly_return_chunk_list[0], False
|
||||
elif len(paragraph_list) == 0 and no_references_setting.get(
|
||||
'status') == 'designated_answer':
|
||||
return AIMessage(no_references_setting.get('value').replace('{question}', problem_text)), False
|
||||
if chat_model is None:
|
||||
return AIMessage(
|
||||
_('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
|
||||
return AIMessage('抱歉，没有配置 AI 模型，请先去应用中设置 AI 模型。'), False
|
||||
else:
|
||||
return chat_model.invoke(message_list), True
|
||||
|
||||
|
|
@ -280,13 +228,7 @@ class BaseChatStep(IChatStep):
|
|||
paragraph_list=None,
|
||||
manage: PipelineManage = None,
|
||||
padding_problem_text: str = None,
|
||||
client_id=None, client_type=None, no_references_setting=None,
|
||||
model_setting=None):
|
||||
reasoning_content_enable = model_setting.get('reasoning_content_enable', False)
|
||||
reasoning_content_start = model_setting.get('reasoning_content_start', '<think>')
|
||||
reasoning_content_end = model_setting.get('reasoning_content_end', '</think>')
|
||||
reasoning = Reasoning(reasoning_content_start,
|
||||
reasoning_content_end)
|
||||
client_id=None, client_type=None, no_references_setting=None):
|
||||
chat_record_id = uuid.uuid1()
|
||||
# 调用模型
|
||||
try:
|
||||
|
|
@ -299,36 +241,17 @@ class BaseChatStep(IChatStep):
|
|||
request_token = 0
|
||||
response_token = 0
|
||||
write_context(self, manage, request_token, response_token, chat_result.content)
|
||||
reasoning_result = reasoning.get_reasoning_content(chat_result)
|
||||
reasoning_result_end = reasoning.get_end_reasoning_content()
|
||||
content = reasoning_result.get('content') + reasoning_result_end.get('content')
|
||||
if 'reasoning_content' in chat_result.response_metadata:
|
||||
reasoning_content = chat_result.response_metadata.get('reasoning_content', '')
|
||||
else:
|
||||
reasoning_content = reasoning_result.get('reasoning_content') + reasoning_result_end.get(
|
||||
'reasoning_content')
|
||||
asker = manage.context.get('form_data', {}).get('asker', None)
|
||||
post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
|
||||
content, manage, self, padding_problem_text, client_id,
|
||||
reasoning_content=reasoning_content if reasoning_content_enable else '',
|
||||
asker=asker)
|
||||
chat_result.content, manage, self, padding_problem_text, client_id)
|
||||
add_access_num(client_id, client_type, manage.context.get('application_id'))
|
||||
return manage.get_base_to_response().to_block_response(str(chat_id), str(chat_record_id),
|
||||
content, True,
|
||||
request_token, response_token,
|
||||
{
|
||||
'reasoning_content': reasoning_content if reasoning_content_enable else '',
|
||||
'answer_list': [{
|
||||
'content': content,
|
||||
'reasoning_content': reasoning_content if reasoning_content_enable else ''
|
||||
}]})
|
||||
chat_result.content, True,
|
||||
request_token, response_token)
|
||||
except Exception as e:
|
||||
all_text = 'Exception:' + str(e)
|
||||
all_text = '异常' + str(e)
|
||||
write_context(self, manage, 0, 0, all_text)
|
||||
asker = manage.context.get('form_data', {}).get('asker', None)
|
||||
post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
|
||||
all_text, manage, self, padding_problem_text, client_id, reasoning_content='',
|
||||
asker=asker)
|
||||
all_text, manage, self, padding_problem_text, client_id)
|
||||
add_access_num(client_id, client_type, manage.context.get('application_id'))
|
||||
return manage.get_base_to_response().to_block_response(str(chat_id), str(chat_record_id), all_text, True, 0,
|
||||
0, _status=status.HTTP_500_INTERNAL_SERVER_ERROR)
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@
|
|||
from abc import abstractmethod
|
||||
from typing import Type, List
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from langchain.schema import BaseMessage
|
||||
from rest_framework import serializers
|
||||
|
||||
|
|
@ -24,26 +23,26 @@ from common.util.field_message import ErrMessage
|
|||
class IGenerateHumanMessageStep(IBaseChatPipelineStep):
|
||||
class InstanceSerializer(serializers.Serializer):
|
||||
# 问题
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char(_("question")))
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char("问题"))
|
||||
# 段落列表
|
||||
paragraph_list = serializers.ListField(child=InstanceField(model_type=ParagraphPipelineModel, required=True),
|
||||
error_messages=ErrMessage.list(_("Paragraph List")))
|
||||
error_messages=ErrMessage.list("段落列表"))
|
||||
# 历史对答
|
||||
history_chat_record = serializers.ListField(child=InstanceField(model_type=ChatRecord, required=True),
|
||||
error_messages=ErrMessage.list(_("History Questions")))
|
||||
error_messages=ErrMessage.list("历史对答"))
|
||||
# 多轮对话数量
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
|
||||
# 最大携带知识库段落长度
|
||||
max_paragraph_char_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(
|
||||
_("Maximum length of the knowledge base paragraph")))
|
||||
"最大携带知识库段落长度"))
|
||||
# 模板
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
|
||||
system = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("System prompt words (role)")))
|
||||
error_messages=ErrMessage.char("系统提示词(角色)"))
|
||||
# 补齐问题
|
||||
padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Completion problem")))
|
||||
padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.char("补齐问题"))
|
||||
# 未查询到引用分段
|
||||
no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base(_("No reference segment settings")))
|
||||
no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base("无引用分段设置"))
|
||||
|
||||
def get_step_serializer(self, manage: PipelineManage) -> Type[serializers.Serializer]:
|
||||
return self.InstanceSerializer
|
||||
|
|
|
|||
|
|
@ -9,11 +9,12 @@
|
|||
from abc import abstractmethod
|
||||
from typing import Type, List
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from langchain.chat_models.base import BaseChatModel
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.chat_pipeline.I_base_chat_pipeline import IBaseChatPipelineStep
|
||||
from application.chat_pipeline.pipeline_manage import PipelineManage
|
||||
from application.chat_pipeline.step.chat_step.i_chat_step import ModelField
|
||||
from application.models import ChatRecord
|
||||
from common.field.common import InstanceField
|
||||
from common.util.field_message import ErrMessage
|
||||
|
|
@ -22,16 +23,15 @@ from common.util.field_message import ErrMessage
|
|||
class IResetProblemStep(IBaseChatPipelineStep):
|
||||
class InstanceSerializer(serializers.Serializer):
|
||||
# 问题文本
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.float(_("question")))
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.float("问题文本"))
|
||||
# 历史对答
|
||||
history_chat_record = serializers.ListField(child=InstanceField(model_type=ChatRecord, required=True),
|
||||
error_messages=ErrMessage.list(_("History Questions")))
|
||||
error_messages=ErrMessage.list("历史对答"))
|
||||
# 大语言模型
|
||||
model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid(_("Model id")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid("模型id"))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
problem_optimization_prompt = serializers.CharField(required=False, max_length=102400,
|
||||
error_messages=ErrMessage.char(
|
||||
_("Question completion prompt")))
|
||||
error_messages=ErrMessage.char("问题补全提示词"))
|
||||
|
||||
def get_step_serializer(self, manage: PipelineManage) -> Type[serializers.Serializer]:
|
||||
return self.InstanceSerializer
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@
|
|||
"""
|
||||
from typing import List
|
||||
|
||||
from django.utils.translation import gettext as _
|
||||
from langchain.schema import HumanMessage
|
||||
|
||||
from application.chat_pipeline.step.reset_problem_step.i_reset_problem_step import IResetProblemStep
|
||||
|
|
@ -16,8 +15,8 @@ from application.models import ChatRecord
|
|||
from common.util.split_model import flat_map
|
||||
from setting.models_provider.tools import get_model_instance_by_model_user_id
|
||||
|
||||
prompt = _(
|
||||
"() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")
|
||||
prompt = (
|
||||
'()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中')
|
||||
|
||||
|
||||
class BaseResetProblemStep(IResetProblemStep):
|
||||
|
|
|
|||
|
|
@ -11,7 +11,6 @@ from abc import abstractmethod
|
|||
from typing import List, Type
|
||||
|
||||
from django.core import validators
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.chat_pipeline.I_base_chat_pipeline import IBaseChatPipelineStep, ParagraphPipelineModel
|
||||
|
|
@ -22,30 +21,29 @@ from common.util.field_message import ErrMessage
|
|||
class ISearchDatasetStep(IBaseChatPipelineStep):
|
||||
class InstanceSerializer(serializers.Serializer):
|
||||
# 原始问题文本
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char(_("question")))
|
||||
problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char("问题"))
|
||||
# 系统补全问题文本
|
||||
padding_problem_text = serializers.CharField(required=False,
|
||||
error_messages=ErrMessage.char(_("System completes question text")))
|
||||
padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.char("系统补全问题文本"))
|
||||
# 需要查询的数据集id列表
|
||||
dataset_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
|
||||
error_messages=ErrMessage.list(_("Dataset id list")))
|
||||
error_messages=ErrMessage.list("数据集id列表"))
|
||||
# 需要排除的文档id
|
||||
exclude_document_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
|
||||
error_messages=ErrMessage.list(_("List of document ids to exclude")))
|
||||
error_messages=ErrMessage.list("排除的文档id列表"))
|
||||
# 需要排除向量id
|
||||
exclude_paragraph_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
|
||||
error_messages=ErrMessage.list(_("List of exclusion vector ids")))
|
||||
error_messages=ErrMessage.list("排除向量id列表"))
|
||||
# 需要查询的条数
|
||||
top_n = serializers.IntegerField(required=True,
|
||||
error_messages=ErrMessage.integer(_("Reference segment number")))
|
||||
error_messages=ErrMessage.integer("引用分段数"))
|
||||
# 相似度 0-1之间
|
||||
similarity = serializers.FloatField(required=True, max_value=1, min_value=0,
|
||||
error_messages=ErrMessage.float(_("Similarity")))
|
||||
error_messages=ErrMessage.float("引用分段数"))
|
||||
search_mode = serializers.CharField(required=True, validators=[
|
||||
validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
|
||||
message=_("The type only supports embedding|keywords|blend"), code=500)
|
||||
], error_messages=ErrMessage.char(_("Retrieval Mode")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
message="类型只支持register|reset_password", code=500)
|
||||
], error_messages=ErrMessage.char("检索模式"))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
def get_step_serializer(self, manage: PipelineManage) -> Type[InstanceSerializer]:
|
||||
return self.InstanceSerializer
|
||||
|
|
|
|||
|
|
@ -10,8 +10,6 @@ import os
|
|||
from typing import List, Dict
|
||||
|
||||
from django.db.models import QuerySet
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework.utils.formatting import lazy_format
|
||||
|
||||
from application.chat_pipeline.I_base_chat_pipeline import ParagraphPipelineModel
|
||||
from application.chat_pipeline.step.search_dataset_step.i_search_dataset_step import ISearchDatasetStep
|
||||
|
|
@ -28,19 +26,18 @@ from smartdoc.conf import PROJECT_DIR
|
|||
def get_model_by_id(_id, user_id):
|
||||
model = QuerySet(Model).filter(id=_id).first()
|
||||
if model is None:
|
||||
raise Exception(_("Model does not exist"))
|
||||
raise Exception("模型不存在")
|
||||
if model.permission_type == 'PRIVATE' and str(model.user_id) != str(user_id):
|
||||
message = lazy_format(_('No permission to use this model {model_name}'), model_name=model.name)
|
||||
raise Exception(message)
|
||||
raise Exception(f"无权限使用此模型:{model.name}")
|
||||
return model
|
||||
|
||||
|
||||
def get_embedding_id(dataset_id_list):
|
||||
dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list)
|
||||
if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1:
|
||||
raise Exception(_("The vector model of the associated knowledge base is inconsistent and the segmentation cannot be recalled."))
|
||||
raise Exception("关联知识库的向量模型不一致，无法召回分段。")
|
||||
if len(dataset_list) == 0:
|
||||
raise Exception(_("The knowledge base setting is wrong, please reset the knowledge base"))
|
||||
raise Exception("知识库设置错误,请重新设置知识库")
|
||||
return dataset_list[0].embedding_mode_id
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -9,22 +9,16 @@
|
|||
|
||||
|
||||
class Answer:
|
||||
def __init__(self, content, view_type, runtime_node_id, chat_record_id, child_node, real_node_id,
|
||||
reasoning_content):
|
||||
def __init__(self, content, view_type, runtime_node_id, chat_record_id, child_node):
|
||||
self.view_type = view_type
|
||||
self.content = content
|
||||
self.reasoning_content = reasoning_content
|
||||
self.runtime_node_id = runtime_node_id
|
||||
self.chat_record_id = chat_record_id
|
||||
self.child_node = child_node
|
||||
self.real_node_id = real_node_id
|
||||
|
||||
def to_dict(self):
|
||||
return {'view_type': self.view_type, 'content': self.content, 'runtime_node_id': self.runtime_node_id,
|
||||
'chat_record_id': self.chat_record_id,
|
||||
'child_node': self.child_node,
|
||||
'reasoning_content': self.reasoning_content,
|
||||
'real_node_id': self.real_node_id}
|
||||
'chat_record_id': self.chat_record_id, 'child_node': self.child_node}
|
||||
|
||||
|
||||
class NodeChunk:
|
||||
|
|
|
|||
|
|
@ -1,451 +0,0 @@
|
|||
{
|
||||
"nodes": [
|
||||
{
|
||||
"id": "base-node",
|
||||
"type": "base-node",
|
||||
"x": 360,
|
||||
"y": 2810,
|
||||
"properties": {
|
||||
"config": {
|
||||
|
||||
},
|
||||
"height": 825.6,
|
||||
"stepName": "Base",
|
||||
"node_data": {
|
||||
"desc": "",
|
||||
"name": "maxkbapplication",
|
||||
"prologue": "Hello, I am the MaxKB assistant. You can ask me about MaxKB usage issues.\n-What are the main functions of MaxKB?\n-What major language models does MaxKB support?\n-What document types does MaxKB support?"
|
||||
},
|
||||
"input_field_list": [
|
||||
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "start-node",
|
||||
"type": "start-node",
|
||||
"x": 430,
|
||||
"y": 3660,
|
||||
"properties": {
|
||||
"config": {
|
||||
"fields": [
|
||||
{
|
||||
"label": "用户问题",
|
||||
"value": "question"
|
||||
}
|
||||
],
|
||||
"globalFields": [
|
||||
{
|
||||
"label": "当前时间",
|
||||
"value": "time"
|
||||
}
|
||||
]
|
||||
},
|
||||
"fields": [
|
||||
{
|
||||
"label": "用户问题",
|
||||
"value": "question"
|
||||
}
|
||||
],
|
||||
"height": 276,
|
||||
"stepName": "Start",
|
||||
"globalFields": [
|
||||
{
|
||||
"label": "当前时间",
|
||||
"value": "time"
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
|
||||
"type": "search-dataset-node",
|
||||
"x": 840,
|
||||
"y": 3210,
|
||||
"properties": {
|
||||
"config": {
|
||||
"fields": [
|
||||
{
|
||||
"label": "检索结果的分段列表",
|
||||
"value": "paragraph_list"
|
||||
},
|
||||
{
|
||||
"label": "满足直接回答的分段列表",
|
||||
"value": "is_hit_handling_method_list"
|
||||
},
|
||||
{
|
||||
"label": "检索结果",
|
||||
"value": "data"
|
||||
},
|
||||
{
|
||||
"label": "满足直接回答的分段内容",
|
||||
"value": "directly_return"
|
||||
}
|
||||
]
|
||||
},
|
||||
"height": 794,
|
||||
"stepName": "Knowledge Search",
|
||||
"node_data": {
|
||||
"dataset_id_list": [
|
||||
|
||||
],
|
||||
"dataset_setting": {
|
||||
"top_n": 3,
|
||||
"similarity": 0.6,
|
||||
"search_mode": "embedding",
|
||||
"max_paragraph_char_number": 5000
|
||||
},
|
||||
"question_reference_address": [
|
||||
"start-node",
|
||||
"question"
|
||||
],
|
||||
"source_dataset_id_list": [
|
||||
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
|
||||
"type": "condition-node",
|
||||
"x": 1490,
|
||||
"y": 3210,
|
||||
"properties": {
|
||||
"width": 600,
|
||||
"config": {
|
||||
"fields": [
|
||||
{
|
||||
"label": "分支名称",
|
||||
"value": "branch_name"
|
||||
}
|
||||
]
|
||||
},
|
||||
"height": 543.675,
|
||||
"stepName": "Conditional Branch",
|
||||
"node_data": {
|
||||
"branch": [
|
||||
{
|
||||
"id": "1009",
|
||||
"type": "IF",
|
||||
"condition": "and",
|
||||
"conditions": [
|
||||
{
|
||||
"field": [
|
||||
"b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
|
||||
"is_hit_handling_method_list"
|
||||
],
|
||||
"value": "1",
|
||||
"compare": "len_ge"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "4908",
|
||||
"type": "ELSE IF 1",
|
||||
"condition": "and",
|
||||
"conditions": [
|
||||
{
|
||||
"field": [
|
||||
"b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
|
||||
"paragraph_list"
|
||||
],
|
||||
"value": "1",
|
||||
"compare": "len_ge"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "161",
|
||||
"type": "ELSE",
|
||||
"condition": "and",
|
||||
"conditions": [
|
||||
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"branch_condition_list": [
|
||||
{
|
||||
"index": 0,
|
||||
"height": 121.225,
|
||||
"id": "1009"
|
||||
},
|
||||
{
|
||||
"index": 1,
|
||||
"height": 121.225,
|
||||
"id": "4908"
|
||||
},
|
||||
{
|
||||
"index": 2,
|
||||
"height": 44,
|
||||
"id": "161"
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "4ffe1086-25df-4c85-b168-979b5bbf0a26",
|
||||
"type": "reply-node",
|
||||
"x": 2170,
|
||||
"y": 2480,
|
||||
"properties": {
|
||||
"config": {
|
||||
"fields": [
|
||||
{
|
||||
"label": "内容",
|
||||
"value": "answer"
|
||||
}
|
||||
]
|
||||
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}
|
||||
],
|
||||
"sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_1009_right",
|
||||
"targetAnchorId": "4ffe1086-25df-4c85-b168-979b5bbf0a26_left"
|
||||
},
|
||||
{
|
||||
"id": "994ff325-6f7a-4ebc-b61b-10e15519d6d2",
|
||||
"type": "app-edge",
|
||||
"sourceNodeId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
|
||||
"targetNodeId": "f1f1ee18-5a02-46f6-b4e6-226253cdffbb",
|
||||
"startPoint": {
|
||||
"x": 1780,
|
||||
"y": 3203
|
||||
},
|
||||
"endPoint": {
|
||||
"x": 2000,
|
||||
"y": 3200
|
||||
},
|
||||
"properties": {
|
||||
|
||||
},
|
||||
"pointsList": [
|
||||
{
|
||||
"x": 1780,
|
||||
"y": 3203
|
||||
},
|
||||
{
|
||||
"x": 1890,
|
||||
"y": 3203
|
||||
},
|
||||
{
|
||||
"x": 1890,
|
||||
"y": 3200
|
||||
},
|
||||
{
|
||||
"x": 2000,
|
||||
"y": 3200
|
||||
}
|
||||
],
|
||||
"sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_4908_right",
|
||||
"targetAnchorId": "f1f1ee18-5a02-46f6-b4e6-226253cdffbb_left"
|
||||
},
|
||||
{
|
||||
"id": "19270caf-bb9f-4ba7-9bf8-200aa70fecd5",
|
||||
"type": "app-edge",
|
||||
"sourceNodeId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
|
||||
"targetNodeId": "309d0eef-c597-46b5-8d51-b9a28aaef4c7",
|
||||
"startPoint": {
|
||||
"x": 1780,
|
||||
"y": 3293.6124999999997
|
||||
},
|
||||
"endPoint": {
|
||||
"x": 2000,
|
||||
"y": 3970
|
||||
},
|
||||
"properties": {
|
||||
|
||||
},
|
||||
"pointsList": [
|
||||
{
|
||||
"x": 1780,
|
||||
"y": 3293.6124999999997
|
||||
},
|
||||
{
|
||||
"x": 1890,
|
||||
"y": 3293.6124999999997
|
||||
},
|
||||
{
|
||||
"x": 1890,
|
||||
"y": 3970
|
||||
},
|
||||
{
|
||||
"x": 2000,
|
||||
"y": 3970
|
||||
}
|
||||
],
|
||||
"sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_161_right",
|
||||
"targetAnchorId": "309d0eef-c597-46b5-8d51-b9a28aaef4c7_left"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
@ -62,9 +62,7 @@ class WorkFlowPostHandler:
|
|||
answer_tokens = sum([row.get('answer_tokens') for row in details.values() if
|
||||
'answer_tokens' in row and row.get('answer_tokens') is not None])
|
||||
answer_text_list = workflow.get_answer_text_list()
|
||||
answer_text = '\n\n'.join(
|
||||
'\n\n'.join([a.get('content') for a in answer]) for answer in
|
||||
answer_text_list)
|
||||
answer_text = '\n\n'.join(answer['content'] for answer in answer_text_list)
|
||||
if workflow.chat_record is not None:
|
||||
chat_record = workflow.chat_record
|
||||
chat_record.answer_text = answer_text
|
||||
|
|
@ -84,8 +82,7 @@ class WorkFlowPostHandler:
|
|||
answer_text_list=answer_text_list,
|
||||
run_time=time.time() - workflow.context['start_time'],
|
||||
index=0)
|
||||
asker = workflow.context.get('asker', None)
|
||||
self.chat_info.append_chat_record(chat_record, self.client_id, asker)
|
||||
self.chat_info.append_chat_record(chat_record, self.client_id)
|
||||
# 重新设置缓存
|
||||
chat_cache.set(chat_id,
|
||||
self.chat_info, timeout=60 * 30)
|
||||
|
|
@ -160,10 +157,8 @@ class INode:
|
|||
def get_answer_list(self) -> List[Answer] | None:
|
||||
if self.answer_text is None:
|
||||
return None
|
||||
reasoning_content_enable = self.context.get('model_setting', {}).get('reasoning_content_enable', False)
|
||||
return [
|
||||
Answer(self.answer_text, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], {},
|
||||
self.runtime_node_id, self.context.get('reasoning_content', '') if reasoning_content_enable else '')]
|
||||
Answer(self.answer_text, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], {})]
|
||||
|
||||
def __init__(self, node, workflow_params, workflow_manage, up_node_id_list=None,
|
||||
get_node_params=lambda node: node.properties.get('node_data')):
|
||||
|
|
|
|||
|
|
@ -24,15 +24,11 @@ from .search_dataset_node import *
|
|||
from .speech_to_text_step_node import BaseSpeechToTextNode
|
||||
from .start_node import *
|
||||
from .text_to_speech_step_node.impl.base_text_to_speech_node import BaseTextToSpeechNode
|
||||
from .variable_assign_node import BaseVariableAssignNode
|
||||
from .mcp_node import BaseMcpNode
|
||||
|
||||
node_list = [BaseStartStepNode, BaseChatNode, BaseSearchDatasetNode, BaseQuestionNode,
|
||||
BaseConditionNode, BaseReplyNode,
|
||||
node_list = [BaseStartStepNode, BaseChatNode, BaseSearchDatasetNode, BaseQuestionNode, BaseConditionNode, BaseReplyNode,
|
||||
BaseFunctionNodeNode, BaseFunctionLibNodeNode, BaseRerankerNode, BaseApplicationNode,
|
||||
BaseDocumentExtractNode,
|
||||
BaseImageUnderstandNode, BaseFormNode, BaseSpeechToTextNode, BaseTextToSpeechNode,
|
||||
BaseImageGenerateNode, BaseVariableAssignNode, BaseMcpNode]
|
||||
BaseImageUnderstandNode, BaseFormNode, BaseSpeechToTextNode, BaseTextToSpeechNode,BaseImageGenerateNode]
|
||||
|
||||
|
||||
def get_node(node_type):
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@
|
|||
"""
|
||||
from typing import Type
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
|
|
@ -16,26 +15,19 @@ from common.util.field_message import ErrMessage
|
|||
|
||||
|
||||
class ChatNodeSerializer(serializers.Serializer):
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
|
||||
system = serializers.CharField(required=False, allow_blank=True, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Role Setting")))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
|
||||
error_messages=ErrMessage.char("角色设定"))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
|
||||
# 多轮对话数量
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(
|
||||
_("Number of multi-round conversations")))
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
|
||||
|
||||
is_result = serializers.BooleanField(required=False,
|
||||
error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.integer("模型参数相关设置"))
|
||||
|
||||
model_params_setting = serializers.DictField(required=False,
|
||||
error_messages=ErrMessage.dict(_("Model parameter settings")))
|
||||
model_setting = serializers.DictField(required=False,
|
||||
error_messages=ErrMessage.dict('Model settings'))
|
||||
dialogue_type = serializers.CharField(required=False, allow_blank=True, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Context Type")))
|
||||
mcp_enable = serializers.BooleanField(required=False,
|
||||
error_messages=ErrMessage.boolean(_("Whether to enable MCP")))
|
||||
mcp_servers = serializers.JSONField(required=False, error_messages=ErrMessage.list(_("MCP Server")))
|
||||
error_messages=ErrMessage.char("上下文类型"))
|
||||
|
||||
|
||||
class IChatNode(INode):
|
||||
|
|
@ -51,8 +43,5 @@ class IChatNode(INode):
|
|||
chat_record_id,
|
||||
model_params_setting=None,
|
||||
dialogue_type=None,
|
||||
model_setting=None,
|
||||
mcp_enable=False,
|
||||
mcp_servers=None,
|
||||
**kwargs) -> NodeResult:
|
||||
pass
|
||||
|
|
|
|||
|
|
@ -6,43 +6,22 @@
|
|||
@date：2024/6/4 14:30
|
||||
@desc:
|
||||
"""
|
||||
import asyncio
|
||||
import json
|
||||
import re
|
||||
import time
|
||||
from functools import reduce
|
||||
from types import AsyncGeneratorType
|
||||
from typing import List, Dict
|
||||
|
||||
from django.db.models import QuerySet
|
||||
from langchain.schema import HumanMessage, SystemMessage
|
||||
from langchain_core.messages import BaseMessage, AIMessage, AIMessageChunk, ToolMessage
|
||||
from langchain_mcp_adapters.client import MultiServerMCPClient
|
||||
from langgraph.prebuilt import create_react_agent
|
||||
from langchain_core.messages import BaseMessage, AIMessage
|
||||
|
||||
from application.flow.i_step_node import NodeResult, INode
|
||||
from application.flow.step_node.ai_chat_step_node.i_chat_node import IChatNode
|
||||
from application.flow.tools import Reasoning
|
||||
from setting.models import Model
|
||||
from setting.models_provider import get_model_credential
|
||||
from setting.models_provider.tools import get_model_instance_by_model_user_id
|
||||
|
||||
tool_message_template = """
|
||||
<details>
|
||||
<summary>
|
||||
<strong>Called MCP Tool: <em>%s</em></strong>
|
||||
</summary>
|
||||
|
||||
```json
|
||||
%s
|
||||
```
|
||||
</details>
|
||||
|
||||
"""
|
||||
|
||||
|
||||
def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str,
|
||||
reasoning_content: str):
|
||||
def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str):
|
||||
chat_model = node_variable.get('chat_model')
|
||||
message_tokens = chat_model.get_num_tokens_from_messages(node_variable.get('message_list'))
|
||||
answer_tokens = chat_model.get_num_tokens(answer)
|
||||
|
|
@ -52,7 +31,6 @@ def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wo
|
|||
node.context['history_message'] = node_variable['history_message']
|
||||
node.context['question'] = node_variable['question']
|
||||
node.context['run_time'] = time.time() - node.context['start_time']
|
||||
node.context['reasoning_content'] = reasoning_content
|
||||
if workflow.is_result(node, NodeResult(node_variable, workflow_variable)):
|
||||
node.answer_text = answer
|
||||
|
||||
|
|
@ -67,73 +45,10 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
|
|||
"""
|
||||
response = node_variable.get('result')
|
||||
answer = ''
|
||||
reasoning_content = ''
|
||||
model_setting = node.context.get('model_setting',
|
||||
{'reasoning_content_enable': False, 'reasoning_content_end': '</think>',
|
||||
'reasoning_content_start': '<think>'})
|
||||
reasoning = Reasoning(model_setting.get('reasoning_content_start', '<think>'),
|
||||
model_setting.get('reasoning_content_end', '</think>'))
|
||||
response_reasoning_content = False
|
||||
|
||||
for chunk in response:
|
||||
reasoning_chunk = reasoning.get_reasoning_content(chunk)
|
||||
content_chunk = reasoning_chunk.get('content')
|
||||
if 'reasoning_content' in chunk.additional_kwargs:
|
||||
response_reasoning_content = True
|
||||
reasoning_content_chunk = chunk.additional_kwargs.get('reasoning_content', '')
|
||||
else:
|
||||
reasoning_content_chunk = reasoning_chunk.get('reasoning_content')
|
||||
answer += content_chunk
|
||||
if reasoning_content_chunk is None:
|
||||
reasoning_content_chunk = ''
|
||||
reasoning_content += reasoning_content_chunk
|
||||
yield {'content': content_chunk,
|
||||
'reasoning_content': reasoning_content_chunk if model_setting.get('reasoning_content_enable',
|
||||
False) else ''}
|
||||
|
||||
reasoning_chunk = reasoning.get_end_reasoning_content()
|
||||
answer += reasoning_chunk.get('content')
|
||||
reasoning_content_chunk = ""
|
||||
if not response_reasoning_content:
|
||||
reasoning_content_chunk = reasoning_chunk.get(
|
||||
'reasoning_content')
|
||||
yield {'content': reasoning_chunk.get('content'),
|
||||
'reasoning_content': reasoning_content_chunk if model_setting.get('reasoning_content_enable',
|
||||
False) else ''}
|
||||
_write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)
|
||||
|
||||
|
||||
async def _yield_mcp_response(chat_model, message_list, mcp_servers):
|
||||
async with MultiServerMCPClient(json.loads(mcp_servers)) as client:
|
||||
agent = create_react_agent(chat_model, client.get_tools())
|
||||
response = agent.astream({"messages": message_list}, stream_mode='messages')
|
||||
async for chunk in response:
|
||||
if isinstance(chunk[0], ToolMessage):
|
||||
content = tool_message_template % (chunk[0].name, chunk[0].content)
|
||||
chunk[0].content = content
|
||||
yield chunk[0]
|
||||
if isinstance(chunk[0], AIMessageChunk):
|
||||
yield chunk[0]
|
||||
|
||||
|
||||
def mcp_response_generator(chat_model, message_list, mcp_servers):
|
||||
loop = asyncio.new_event_loop()
|
||||
try:
|
||||
async_gen = _yield_mcp_response(chat_model, message_list, mcp_servers)
|
||||
while True:
|
||||
try:
|
||||
chunk = loop.run_until_complete(anext_async(async_gen))
|
||||
yield chunk
|
||||
except StopAsyncIteration:
|
||||
break
|
||||
except Exception as e:
|
||||
print(f'exception: {e}')
|
||||
finally:
|
||||
loop.close()
|
||||
|
||||
|
||||
async def anext_async(agen):
|
||||
return await agen.__anext__()
|
||||
answer += chunk.content
|
||||
yield chunk.content
|
||||
_write_context(node_variable, workflow_variable, node, workflow, answer)
|
||||
|
||||
|
||||
def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow):
|
||||
|
|
@ -145,18 +60,8 @@ def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wor
|
|||
@param workflow: 工作流管理器
|
||||
"""
|
||||
response = node_variable.get('result')
|
||||
model_setting = node.context.get('model_setting',
|
||||
{'reasoning_content_enable': False, 'reasoning_content_end': '</think>',
|
||||
'reasoning_content_start': '<think>'})
|
||||
reasoning = Reasoning(model_setting.get('reasoning_content_start'), model_setting.get('reasoning_content_end'))
|
||||
reasoning_result = reasoning.get_reasoning_content(response)
|
||||
reasoning_result_end = reasoning.get_end_reasoning_content()
|
||||
content = reasoning_result.get('content') + reasoning_result_end.get('content')
|
||||
if 'reasoning_content' in response.response_metadata:
|
||||
reasoning_content = response.response_metadata.get('reasoning_content', '')
|
||||
else:
|
||||
reasoning_content = reasoning_result.get('reasoning_content') + reasoning_result_end.get('reasoning_content')
|
||||
_write_context(node_variable, workflow_variable, node, workflow, content, reasoning_content)
|
||||
answer = response.content
|
||||
_write_context(node_variable, workflow_variable, node, workflow, answer)
|
||||
|
||||
|
||||
def get_default_model_params_setting(model_id):
|
||||
|
|
@ -187,26 +92,17 @@ class BaseChatNode(IChatNode):
|
|||
def save_context(self, details, workflow_manage):
|
||||
self.context['answer'] = details.get('answer')
|
||||
self.context['question'] = details.get('question')
|
||||
self.context['reasoning_content'] = details.get('reasoning_content')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id, chat_record_id,
|
||||
model_params_setting=None,
|
||||
dialogue_type=None,
|
||||
model_setting=None,
|
||||
mcp_enable=False,
|
||||
mcp_servers=None,
|
||||
**kwargs) -> NodeResult:
|
||||
if dialogue_type is None:
|
||||
dialogue_type = 'WORKFLOW'
|
||||
|
||||
if model_params_setting is None:
|
||||
model_params_setting = get_default_model_params_setting(model_id)
|
||||
if model_setting is None:
|
||||
model_setting = {'reasoning_content_enable': False, 'reasoning_content_end': '</think>',
|
||||
'reasoning_content_start': '<think>'}
|
||||
self.context['model_setting'] = model_setting
|
||||
chat_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'),
|
||||
**model_params_setting)
|
||||
history_message = self.get_history_message(history_chat_record, dialogue_number, dialogue_type,
|
||||
|
|
@ -218,14 +114,6 @@ class BaseChatNode(IChatNode):
|
|||
self.context['system'] = system
|
||||
message_list = self.generate_message_list(system, prompt, history_message)
|
||||
self.context['message_list'] = message_list
|
||||
|
||||
if mcp_enable and mcp_servers is not None and '"stdio"' not in mcp_servers:
|
||||
r = mcp_response_generator(chat_model, message_list, mcp_servers)
|
||||
return NodeResult(
|
||||
{'result': r, 'chat_model': chat_model, 'message_list': message_list,
|
||||
'history_message': history_message, 'question': question.content}, {},
|
||||
_write_context=write_context_stream)
|
||||
|
||||
if stream:
|
||||
r = chat_model.stream(message_list)
|
||||
return NodeResult({'result': r, 'chat_model': chat_model, 'message_list': message_list,
|
||||
|
|
@ -244,9 +132,6 @@ class BaseChatNode(IChatNode):
|
|||
get_message(history_chat_record[index], dialogue_type, runtime_node_id)
|
||||
for index in
|
||||
range(start_index if start_index > 0 else 0, len(history_chat_record))], [])
|
||||
for message in history_message:
|
||||
if isinstance(message.content, str):
|
||||
message.content = re.sub('<form_rander>[\d\D]*?<\/form_rander>', '', message.content)
|
||||
return history_message
|
||||
|
||||
def generate_prompt_question(self, prompt):
|
||||
|
|
@ -279,7 +164,6 @@ class BaseChatNode(IChatNode):
|
|||
'history_message') is not None else [])],
|
||||
'question': self.context.get('question'),
|
||||
'answer': self.context.get('answer'),
|
||||
'reasoning_content': self.context.get('reasoning_content'),
|
||||
'type': self.node.type,
|
||||
'message_tokens': self.context.get('message_tokens'),
|
||||
'answer_tokens': self.context.get('answer_tokens'),
|
||||
|
|
|
|||
|
|
@ -6,22 +6,17 @@ from rest_framework import serializers
|
|||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ApplicationNodeSerializer(serializers.Serializer):
|
||||
application_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Application ID")))
|
||||
question_reference_address = serializers.ListField(required=True,
|
||||
error_messages=ErrMessage.list(_("User Questions")))
|
||||
api_input_field_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("API Input Fields")))
|
||||
user_input_field_list = serializers.ListField(required=False,
|
||||
error_messages=ErrMessage.uuid(_("User Input Fields")))
|
||||
image_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("picture")))
|
||||
document_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("document")))
|
||||
audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Audio")))
|
||||
child_node = serializers.DictField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.dict(_("Child Nodes")))
|
||||
node_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict(_("Form Data")))
|
||||
application_id = serializers.CharField(required=True, error_messages=ErrMessage.char("应用id"))
|
||||
question_reference_address = serializers.ListField(required=True, error_messages=ErrMessage.list("用户问题"))
|
||||
api_input_field_list = serializers.ListField(required=False, error_messages=ErrMessage.list("api输入字段"))
|
||||
user_input_field_list = serializers.ListField(required=False, error_messages=ErrMessage.uuid("用户输入字段"))
|
||||
image_list = serializers.ListField(required=False, error_messages=ErrMessage.list("图片"))
|
||||
document_list = serializers.ListField(required=False, error_messages=ErrMessage.list("文档"))
|
||||
audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list("音频"))
|
||||
child_node = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("子节点"))
|
||||
node_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("表单数据"))
|
||||
|
||||
|
||||
class IApplicationNode(INode):
|
||||
|
|
@ -36,16 +31,11 @@ class IApplicationNode(INode):
|
|||
self.node_params_serializer.data.get('question_reference_address')[1:])
|
||||
kwargs = {}
|
||||
for api_input_field in self.node_params_serializer.data.get('api_input_field_list', []):
|
||||
value = api_input_field.get('value', [''])[0] if api_input_field.get('value') else ''
|
||||
kwargs[api_input_field['variable']] = self.workflow_manage.get_reference_field(value,
|
||||
api_input_field['value'][
|
||||
1:]) if value != '' else ''
|
||||
|
||||
kwargs[api_input_field['variable']] = self.workflow_manage.get_reference_field(api_input_field['value'][0],
|
||||
api_input_field['value'][1:])
|
||||
for user_input_field in self.node_params_serializer.data.get('user_input_field_list', []):
|
||||
value = user_input_field.get('value', [''])[0] if user_input_field.get('value') else ''
|
||||
kwargs[user_input_field['field']] = self.workflow_manage.get_reference_field(value,
|
||||
user_input_field['value'][
|
||||
1:]) if value != '' else ''
|
||||
kwargs[user_input_field['field']] = self.workflow_manage.get_reference_field(user_input_field['value'][0],
|
||||
user_input_field['value'][1:])
|
||||
# 判断是否包含这个属性
|
||||
app_document_list = self.node_params_serializer.data.get('document_list', [])
|
||||
if app_document_list and len(app_document_list) > 0:
|
||||
|
|
@ -54,8 +44,7 @@ class IApplicationNode(INode):
|
|||
app_document_list[1:])
|
||||
for document in app_document_list:
|
||||
if 'file_id' not in document:
|
||||
raise ValueError(
|
||||
_("Parameter value error: The uploaded document lacks file_id, and the document upload fails"))
|
||||
raise ValueError("参数值错误: 上传的文档中缺少file_id，文档上传失败")
|
||||
app_image_list = self.node_params_serializer.data.get('image_list', [])
|
||||
if app_image_list and len(app_image_list) > 0:
|
||||
app_image_list = self.workflow_manage.get_reference_field(
|
||||
|
|
@ -63,8 +52,7 @@ class IApplicationNode(INode):
|
|||
app_image_list[1:])
|
||||
for image in app_image_list:
|
||||
if 'file_id' not in image:
|
||||
raise ValueError(
|
||||
_("Parameter value error: The uploaded image lacks file_id, and the image upload fails"))
|
||||
raise ValueError("参数值错误: 上传的图片中缺少file_id，图片上传失败")
|
||||
|
||||
app_audio_list = self.node_params_serializer.data.get('audio_list', [])
|
||||
if app_audio_list and len(app_audio_list) > 0:
|
||||
|
|
@ -73,8 +61,7 @@ class IApplicationNode(INode):
|
|||
app_audio_list[1:])
|
||||
for audio in app_audio_list:
|
||||
if 'file_id' not in audio:
|
||||
raise ValueError(
|
||||
_("Parameter value error: The uploaded audio lacks file_id, and the audio upload fails."))
|
||||
raise ValueError("参数值错误: 上传的图片中缺少file_id，音频上传失败")
|
||||
return self.execute(**self.node_params_serializer.data, **self.flow_params_serializer.data,
|
||||
app_document_list=app_document_list, app_image_list=app_image_list,
|
||||
app_audio_list=app_audio_list,
|
||||
|
|
|
|||
|
|
@ -19,8 +19,7 @@ def _is_interrupt_exec(node, node_variable: Dict, workflow_variable: Dict):
|
|||
return node_variable.get('is_interrupt_exec', False)
|
||||
|
||||
|
||||
def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str,
|
||||
reasoning_content: str):
|
||||
def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str):
|
||||
result = node_variable.get('result')
|
||||
node.context['application_node_dict'] = node_variable.get('application_node_dict')
|
||||
node.context['node_dict'] = node_variable.get('node_dict', {})
|
||||
|
|
@ -29,7 +28,6 @@ def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wo
|
|||
node.context['answer_tokens'] = result.get('usage', {}).get('completion_tokens', 0)
|
||||
node.context['answer'] = answer
|
||||
node.context['result'] = answer
|
||||
node.context['reasoning_content'] = reasoning_content
|
||||
node.context['question'] = node_variable['question']
|
||||
node.context['run_time'] = time.time() - node.context['start_time']
|
||||
if workflow.is_result(node, NodeResult(node_variable, workflow_variable)):
|
||||
|
|
@ -46,7 +44,6 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
|
|||
"""
|
||||
response = node_variable.get('result')
|
||||
answer = ''
|
||||
reasoning_content = ''
|
||||
usage = {}
|
||||
node_child_node = {}
|
||||
application_node_dict = node.context.get('application_node_dict', {})
|
||||
|
|
@ -63,11 +60,9 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
|
|||
node_type = response_content.get('node_type')
|
||||
real_node_id = response_content.get('real_node_id')
|
||||
node_is_end = response_content.get('node_is_end', False)
|
||||
_reasoning_content = response_content.get('reasoning_content', '')
|
||||
if node_type == 'form-node':
|
||||
is_interrupt_exec = True
|
||||
answer += content
|
||||
reasoning_content += _reasoning_content
|
||||
node_child_node = {'runtime_node_id': runtime_node_id, 'chat_record_id': chat_record_id,
|
||||
'child_node': child_node}
|
||||
|
||||
|
|
@ -80,16 +75,13 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
|
|||
'chat_record_id': chat_record_id,
|
||||
'child_node': child_node,
|
||||
'index': len(application_node_dict),
|
||||
'view_type': view_type,
|
||||
'reasoning_content': _reasoning_content}
|
||||
'view_type': view_type}
|
||||
else:
|
||||
application_node['content'] += content
|
||||
application_node['reasoning_content'] += _reasoning_content
|
||||
|
||||
yield {'content': content,
|
||||
'node_type': node_type,
|
||||
'runtime_node_id': runtime_node_id, 'chat_record_id': chat_record_id,
|
||||
'reasoning_content': _reasoning_content,
|
||||
'child_node': child_node,
|
||||
'real_node_id': real_node_id,
|
||||
'node_is_end': node_is_end,
|
||||
|
|
@ -99,7 +91,7 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
|
|||
node_variable['is_interrupt_exec'] = is_interrupt_exec
|
||||
node_variable['child_node'] = node_child_node
|
||||
node_variable['application_node_dict'] = application_node_dict
|
||||
_write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)
|
||||
_write_context(node_variable, workflow_variable, node, workflow, answer)
|
||||
|
||||
|
||||
def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow):
|
||||
|
|
@ -114,12 +106,7 @@ def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wor
|
|||
node_variable['result'] = {'usage': {'completion_tokens': response.get('completion_tokens'),
|
||||
'prompt_tokens': response.get('prompt_tokens')}}
|
||||
answer = response.get('content', '') or "抱歉，没有查找到相关内容，请重新描述您的问题或提供更多信息。"
|
||||
reasoning_content = response.get('reasoning_content', '')
|
||||
answer_list = response.get('answer_list', [])
|
||||
node_variable['application_node_dict'] = {answer.get('real_node_id'): {**answer, 'index': index} for answer, index
|
||||
in
|
||||
zip(answer_list, range(len(answer_list)))}
|
||||
_write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)
|
||||
_write_context(node_variable, workflow_variable, node, workflow, answer)
|
||||
|
||||
|
||||
def reset_application_node_dict(application_node_dict, runtime_node_id, node_data):
|
||||
|
|
@ -152,24 +139,19 @@ class BaseApplicationNode(IApplicationNode):
|
|||
if application_node_dict is None or len(application_node_dict) == 0:
|
||||
return [
|
||||
Answer(self.answer_text, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'],
|
||||
self.context.get('child_node'), self.runtime_node_id, '')]
|
||||
self.context.get('child_node'))]
|
||||
else:
|
||||
return [Answer(n.get('content'), n.get('view_type'), self.runtime_node_id,
|
||||
self.workflow_params['chat_record_id'], {'runtime_node_id': n.get('runtime_node_id'),
|
||||
'chat_record_id': n.get('chat_record_id')
|
||||
, 'child_node': n.get('child_node')}, n.get('real_node_id'),
|
||||
n.get('reasoning_content', ''))
|
||||
for n in
|
||||
, 'child_node': n.get('child_node')}) for n in
|
||||
sorted(application_node_dict.values(), key=lambda item: item.get('index'))]
|
||||
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['answer'] = details.get('answer')
|
||||
self.context['result'] = details.get('answer')
|
||||
self.context['question'] = details.get('question')
|
||||
self.context['type'] = details.get('type')
|
||||
self.context['reasoning_content'] = details.get('reasoning_content')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
def execute(self, application_id, message, chat_id, chat_record_id, stream, re_chat, client_id, client_type,
|
||||
app_document_list=None, app_image_list=None, app_audio_list=None, child_node=None, node_data=None,
|
||||
|
|
@ -179,8 +161,7 @@ class BaseApplicationNode(IApplicationNode):
|
|||
current_chat_id = string_to_uuid(chat_id + application_id)
|
||||
Chat.objects.get_or_create(id=current_chat_id, defaults={
|
||||
'application_id': application_id,
|
||||
'abstract': message[0:1024],
|
||||
'client_id': client_id,
|
||||
'abstract': message
|
||||
})
|
||||
if app_document_list is None:
|
||||
app_document_list = []
|
||||
|
|
@ -226,25 +207,20 @@ class BaseApplicationNode(IApplicationNode):
|
|||
def get_details(self, index: int, **kwargs):
|
||||
global_fields = []
|
||||
for api_input_field in self.node_params_serializer.data.get('api_input_field_list', []):
|
||||
value = api_input_field.get('value', [''])[0] if api_input_field.get('value') else ''
|
||||
global_fields.append({
|
||||
'label': api_input_field['variable'],
|
||||
'key': api_input_field['variable'],
|
||||
'value': self.workflow_manage.get_reference_field(
|
||||
value,
|
||||
api_input_field['value'][1:]
|
||||
) if value != '' else ''
|
||||
api_input_field['value'][0],
|
||||
api_input_field['value'][1:])
|
||||
})
|
||||
|
||||
for user_input_field in self.node_params_serializer.data.get('user_input_field_list', []):
|
||||
value = user_input_field.get('value', [''])[0] if user_input_field.get('value') else ''
|
||||
global_fields.append({
|
||||
'label': user_input_field['label'],
|
||||
'key': user_input_field['field'],
|
||||
'value': self.workflow_manage.get_reference_field(
|
||||
value,
|
||||
user_input_field['value'][1:]
|
||||
) if value != '' else ''
|
||||
user_input_field['value'][0],
|
||||
user_input_field['value'][1:])
|
||||
})
|
||||
return {
|
||||
'name': self.node.properties.get('stepName'),
|
||||
|
|
@ -253,7 +229,6 @@ class BaseApplicationNode(IApplicationNode):
|
|||
'run_time': self.context.get('run_time'),
|
||||
'question': self.context.get('question'),
|
||||
'answer': self.context.get('answer'),
|
||||
'reasoning_content': self.context.get('reasoning_content'),
|
||||
'type': self.node.type,
|
||||
'message_tokens': self.context.get('message_tokens'),
|
||||
'answer_tokens': self.context.get('answer_tokens'),
|
||||
|
|
|
|||
|
|
@ -9,22 +9,20 @@
|
|||
|
||||
from .contain_compare import *
|
||||
from .equal_compare import *
|
||||
from .ge_compare import *
|
||||
from .gt_compare import *
|
||||
from .is_not_null_compare import *
|
||||
from .is_not_true import IsNotTrueCompare
|
||||
from .is_null_compare import *
|
||||
from .is_true import IsTrueCompare
|
||||
from .ge_compare import *
|
||||
from .le_compare import *
|
||||
from .len_equal_compare import *
|
||||
from .lt_compare import *
|
||||
from .len_ge_compare import *
|
||||
from .len_gt_compare import *
|
||||
from .len_le_compare import *
|
||||
from .len_lt_compare import *
|
||||
from .lt_compare import *
|
||||
from .len_equal_compare import *
|
||||
from .is_not_null_compare import *
|
||||
from .is_null_compare import *
|
||||
from .not_contain_compare import *
|
||||
|
||||
compare_handle_list = [GECompare(), GTCompare(), ContainCompare(), EqualCompare(), LTCompare(), LECompare(),
|
||||
LenLECompare(), LenGECompare(), LenEqualCompare(), LenGTCompare(), LenLTCompare(),
|
||||
IsNullCompare(),
|
||||
IsNotNullCompare(), NotContainCompare(), IsTrueCompare(), IsNotTrueCompare()]
|
||||
IsNotNullCompare(), NotContainCompare()]
|
||||
|
|
|
|||
|
|
@ -1,24 +0,0 @@
|
|||
# coding=utf-8
|
||||
"""
|
||||
@project: MaxKB
|
||||
@Author：虎
|
||||
@file： is_not_true.py
|
||||
@date：2025/4/7 13:44
|
||||
@desc:
|
||||
"""
|
||||
from typing import List
|
||||
|
||||
from application.flow.step_node.condition_node.compare import Compare
|
||||
|
||||
|
||||
class IsNotTrueCompare(Compare):
|
||||
|
||||
def support(self, node_id, fields: List[str], source_value, compare, target_value):
|
||||
if compare == 'is_not_true':
|
||||
return True
|
||||
|
||||
def compare(self, source_value, compare, target_value):
|
||||
try:
|
||||
return source_value is False
|
||||
except Exception as e:
|
||||
return False
|
||||
|
|
@ -1,24 +0,0 @@
|
|||
# coding=utf-8
|
||||
"""
|
||||
@project: MaxKB
|
||||
@Author：虎
|
||||
@file： IsTrue.py
|
||||
@date：2025/4/7 13:38
|
||||
@desc:
|
||||
"""
|
||||
from typing import List
|
||||
|
||||
from application.flow.step_node.condition_node.compare import Compare
|
||||
|
||||
|
||||
class IsTrueCompare(Compare):
|
||||
|
||||
def support(self, node_id, fields: List[str], source_value, compare, target_value):
|
||||
if compare == 'is_true':
|
||||
return True
|
||||
|
||||
def compare(self, source_value, compare, target_value):
|
||||
try:
|
||||
return source_value is True
|
||||
except Exception as e:
|
||||
return False
|
||||
|
|
@ -6,9 +6,9 @@
|
|||
@date：2024/6/7 9:54
|
||||
@desc:
|
||||
"""
|
||||
import json
|
||||
from typing import Type
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.flow.i_step_node import INode
|
||||
|
|
@ -16,15 +16,15 @@ from common.util.field_message import ErrMessage
|
|||
|
||||
|
||||
class ConditionSerializer(serializers.Serializer):
|
||||
compare = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Comparator")))
|
||||
value = serializers.CharField(required=True, error_messages=ErrMessage.char(_("value")))
|
||||
field = serializers.ListField(required=True, error_messages=ErrMessage.char(_("Fields")))
|
||||
compare = serializers.CharField(required=True, error_messages=ErrMessage.char("比较器"))
|
||||
value = serializers.CharField(required=True, error_messages=ErrMessage.char(""))
|
||||
field = serializers.ListField(required=True, error_messages=ErrMessage.char("字段"))
|
||||
|
||||
|
||||
class ConditionBranchSerializer(serializers.Serializer):
|
||||
id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Branch id")))
|
||||
type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Branch Type")))
|
||||
condition = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Condition or|and")))
|
||||
id = serializers.CharField(required=True, error_messages=ErrMessage.char("分支id"))
|
||||
type = serializers.CharField(required=True, error_messages=ErrMessage.char("分支类型"))
|
||||
condition = serializers.CharField(required=True, error_messages=ErrMessage.char("条件or|and"))
|
||||
conditions = ConditionSerializer(many=True)
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -36,15 +36,7 @@ class BaseConditionNode(IConditionNode):
|
|||
return all(condition_list) if condition == 'and' else any(condition_list)
|
||||
|
||||
def assertion(self, field_list: List[str], compare: str, value):
|
||||
try:
|
||||
value = self.workflow_manage.generate_prompt(value)
|
||||
except Exception as e:
|
||||
pass
|
||||
field_value = None
|
||||
try:
|
||||
field_value = self.workflow_manage.get_reference_field(field_list[0], field_list[1:])
|
||||
except Exception as e:
|
||||
pass
|
||||
field_value = self.workflow_manage.get_reference_field(field_list[0], field_list[1:])
|
||||
for compare_handler in compare_handle_list:
|
||||
if compare_handler.support(field_list[0], field_list[1:], field_value, compare, value):
|
||||
return compare_handler.compare(field_value, compare, value)
|
||||
|
|
|
|||
|
|
@ -13,26 +13,25 @@ from rest_framework import serializers
|
|||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.exception.app_exception import AppApiException
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ReplyNodeParamsSerializer(serializers.Serializer):
|
||||
reply_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Response Type")))
|
||||
fields = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Reference Field")))
|
||||
reply_type = serializers.CharField(required=True, error_messages=ErrMessage.char("回复类型"))
|
||||
fields = serializers.ListField(required=False, error_messages=ErrMessage.list("引用字段"))
|
||||
content = serializers.CharField(required=False, allow_blank=True, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Direct answer content")))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
error_messages=ErrMessage.char("直接回答内容"))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
if self.data.get('reply_type') == 'referencing':
|
||||
if 'fields' not in self.data:
|
||||
raise AppApiException(500, _("Reference field cannot be empty"))
|
||||
raise AppApiException(500, "引用字段不能为空")
|
||||
if len(self.data.get('fields')) < 2:
|
||||
raise AppApiException(500, _("Reference field error"))
|
||||
raise AppApiException(500, "引用字段错误")
|
||||
else:
|
||||
if 'content' not in self.data or self.data.get('content') is None:
|
||||
raise AppApiException(500, _("Content cannot be empty"))
|
||||
raise AppApiException(500, "内容不能为空")
|
||||
|
||||
|
||||
class IReplyNode(INode):
|
||||
|
|
|
|||
|
|
@ -15,9 +15,7 @@ from application.flow.step_node.direct_reply_node.i_reply_node import IReplyNode
|
|||
class BaseReplyNode(IReplyNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['answer'] = details.get('answer')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
self.answer_text = details.get('answer')
|
||||
def execute(self, reply_type, stream, fields=None, content=None, **kwargs) -> NodeResult:
|
||||
if reply_type == 'referencing':
|
||||
result = self.get_reference_content(fields)
|
||||
|
|
|
|||
|
|
@ -2,7 +2,6 @@
|
|||
|
||||
from typing import Type
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
|
|
@ -10,7 +9,7 @@ from common.util.field_message import ErrMessage
|
|||
|
||||
|
||||
class DocumentExtractNodeSerializer(serializers.Serializer):
|
||||
document_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("document")))
|
||||
document_list = serializers.ListField(required=False, error_messages=ErrMessage.list("文档"))
|
||||
|
||||
|
||||
class IDocumentExtractNode(INode):
|
||||
|
|
|
|||
|
|
@ -38,10 +38,6 @@ def bytes_to_uploaded_file(file_bytes, file_name="file.txt"):
|
|||
splitter = '\n`-----------------------------------`\n'
|
||||
|
||||
class BaseDocumentExtractNode(IDocumentExtractNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['content'] = details.get('content')
|
||||
|
||||
|
||||
def execute(self, document, chat_id, **kwargs):
|
||||
get_buffer = FileBufferHandle().get_buffer
|
||||
|
||||
|
|
|
|||
|
|
@ -12,13 +12,12 @@ from rest_framework import serializers
|
|||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class FormNodeParamsSerializer(serializers.Serializer):
|
||||
form_field_list = serializers.ListField(required=True, error_messages=ErrMessage.list(_("Form Configuration")))
|
||||
form_content_format = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Form output content')))
|
||||
form_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict(_("Form Data")))
|
||||
form_field_list = serializers.ListField(required=True, error_messages=ErrMessage.list("表单配置"))
|
||||
form_content_format = serializers.CharField(required=True, error_messages=ErrMessage.char('表单输出内容'))
|
||||
form_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("表单数据"))
|
||||
|
||||
|
||||
class IFormNode(INode):
|
||||
|
|
|
|||
|
|
@ -38,8 +38,7 @@ class BaseFormNode(IFormNode):
|
|||
self.context['start_time'] = details.get('start_time')
|
||||
self.context['form_data'] = form_data
|
||||
self.context['is_submit'] = details.get('is_submit')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('result')
|
||||
self.answer_text = details.get('result')
|
||||
if form_data is not None:
|
||||
for key in form_data:
|
||||
self.context[key] = form_data[key]
|
||||
|
|
@ -55,7 +54,7 @@ class BaseFormNode(IFormNode):
|
|||
form_setting = {"form_field_list": form_field_list, "runtime_node_id": self.runtime_node_id,
|
||||
"chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
|
||||
"is_submit": self.context.get("is_submit", False)}
|
||||
form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
|
||||
form = f'<form_rander>{json.dumps(form_setting)}</form_rander>'
|
||||
context = self.workflow_manage.get_workflow_content()
|
||||
form_content_format = self.workflow_manage.reset_prompt(form_content_format)
|
||||
prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')
|
||||
|
|
@ -71,13 +70,12 @@ class BaseFormNode(IFormNode):
|
|||
"chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
|
||||
'form_data': self.context.get('form_data', {}),
|
||||
"is_submit": self.context.get("is_submit", False)}
|
||||
form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
|
||||
form = f'<form_rander>{json.dumps(form_setting)}</form_rander>'
|
||||
context = self.workflow_manage.get_workflow_content()
|
||||
form_content_format = self.workflow_manage.reset_prompt(form_content_format)
|
||||
prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')
|
||||
value = prompt_template.format(form=form, context=context)
|
||||
return [Answer(value, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], None,
|
||||
self.runtime_node_id, '')]
|
||||
return [Answer(value, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], None)]
|
||||
|
||||
def get_details(self, index: int, **kwargs):
|
||||
form_content_format = self.context.get('form_content_format')
|
||||
|
|
@ -86,7 +84,7 @@ class BaseFormNode(IFormNode):
|
|||
"chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
|
||||
'form_data': self.context.get('form_data', {}),
|
||||
"is_submit": self.context.get("is_submit", False)}
|
||||
form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
|
||||
form = f'<form_rander>{json.dumps(form_setting)}</form_rander>'
|
||||
context = self.workflow_manage.get_workflow_content()
|
||||
form_content_format = self.workflow_manage.reset_prompt(form_content_format)
|
||||
prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')
|
||||
|
|
|
|||
|
|
@ -15,24 +15,23 @@ from application.flow.i_step_node import INode, NodeResult
|
|||
from common.field.common import ObjectField
|
||||
from common.util.field_message import ErrMessage
|
||||
from function_lib.models.function import FunctionLib
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class InputField(serializers.Serializer):
|
||||
name = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Variable Name')))
|
||||
value = ObjectField(required=True, error_messages=ErrMessage.char(_("Variable Value")), model_type_list=[str, list])
|
||||
name = serializers.CharField(required=True, error_messages=ErrMessage.char('变量名'))
|
||||
value = ObjectField(required=True, error_messages=ErrMessage.char("变量值"), model_type_list=[str, list])
|
||||
|
||||
|
||||
class FunctionLibNodeParamsSerializer(serializers.Serializer):
|
||||
function_lib_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_('Library ID')))
|
||||
function_lib_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid('函数库id'))
|
||||
input_field_list = InputField(required=True, many=True)
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
f_lib = QuerySet(FunctionLib).filter(id=self.data.get('function_lib_id')).first()
|
||||
if f_lib is None:
|
||||
raise Exception(_('The function has been deleted'))
|
||||
raise Exception('函数库已被删除')
|
||||
|
||||
|
||||
class IFunctionLibNode(INode):
|
||||
|
|
|
|||
|
|
@ -11,13 +11,11 @@ import time
|
|||
from typing import Dict
|
||||
|
||||
from django.db.models import QuerySet
|
||||
from django.utils.translation import gettext as _
|
||||
|
||||
from application.flow.i_step_node import NodeResult
|
||||
from application.flow.step_node.function_lib_node.i_function_lib_node import IFunctionLibNode
|
||||
from common.exception.app_exception import AppApiException
|
||||
from common.util.function_code import FunctionExecutor
|
||||
from common.util.rsa_util import rsa_long_decrypt
|
||||
from function_lib.models.function import FunctionLib
|
||||
from smartdoc.const import CONFIG
|
||||
|
||||
|
|
@ -40,15 +38,15 @@ def get_field_value(debug_field_list, name, is_required):
|
|||
if len(result) > 0:
|
||||
return result[-1]['value']
|
||||
if is_required:
|
||||
raise AppApiException(500, _('Field: {name} No value set').format(name=name))
|
||||
raise AppApiException(500, f"{name}字段未设置值")
|
||||
return None
|
||||
|
||||
|
||||
def valid_reference_value(_type, value, name):
|
||||
if _type == 'int':
|
||||
instance_type = int | float
|
||||
instance_type = int
|
||||
elif _type == 'float':
|
||||
instance_type = float | int
|
||||
instance_type = float
|
||||
elif _type == 'dict':
|
||||
instance_type = dict
|
||||
elif _type == 'array':
|
||||
|
|
@ -56,16 +54,13 @@ def valid_reference_value(_type, value, name):
|
|||
elif _type == 'string':
|
||||
instance_type = str
|
||||
else:
|
||||
raise Exception(_('Field: {name} Type: {_type} Value: {value} Unsupported types').format(name=name,
|
||||
_type=_type))
|
||||
raise Exception(500, f'字段:{name}类型:{_type} 不支持的类型')
|
||||
if not isinstance(value, instance_type):
|
||||
raise Exception(
|
||||
_('Field: {name} Type: {_type} Value: {value} Type error').format(name=name, _type=_type,
|
||||
value=value))
|
||||
raise Exception(f'字段:{name}类型:{_type}值:{value}类型错误')
|
||||
|
||||
|
||||
def convert_value(name: str, value, _type, is_required, source, node):
|
||||
if not is_required and (value is None or (isinstance(value, str) and len(value) == 0)):
|
||||
if not is_required and value is None:
|
||||
return None
|
||||
if not is_required and source == 'reference' and (value is None or len(value) == 0):
|
||||
return None
|
||||
|
|
@ -74,10 +69,6 @@ def convert_value(name: str, value, _type, is_required, source, node):
|
|||
value[0],
|
||||
value[1:])
|
||||
valid_reference_value(_type, value, name)
|
||||
if _type == 'int':
|
||||
return int(value)
|
||||
if _type == 'float':
|
||||
return float(value)
|
||||
return value
|
||||
try:
|
||||
if _type == 'int':
|
||||
|
|
@ -88,37 +79,26 @@ def convert_value(name: str, value, _type, is_required, source, node):
|
|||
v = json.loads(value)
|
||||
if isinstance(v, dict):
|
||||
return v
|
||||
raise Exception(_('type error'))
|
||||
raise Exception("类型错误")
|
||||
if _type == 'array':
|
||||
v = json.loads(value)
|
||||
if isinstance(v, list):
|
||||
return v
|
||||
raise Exception(_('type error'))
|
||||
raise Exception("类型错误")
|
||||
return value
|
||||
except Exception as e:
|
||||
raise Exception(
|
||||
_('Field: {name} Type: {_type} Value: {value} Type error').format(name=name, _type=_type,
|
||||
value=value))
|
||||
|
||||
|
||||
def valid_function(function_lib, user_id):
|
||||
if function_lib is None:
|
||||
raise Exception(_('Function does not exist'))
|
||||
if function_lib.permission_type == 'PRIVATE' and str(function_lib.user_id) != str(user_id):
|
||||
raise Exception(_('No permission to use this function {name}').format(name=function_lib.name))
|
||||
if not function_lib.is_active:
|
||||
raise Exception(_('Function {name} is unavailable').format(name=function_lib.name))
|
||||
raise Exception(f'字段:{name}类型:{_type}值:{value}类型错误')
|
||||
|
||||
|
||||
class BaseFunctionLibNodeNode(IFunctionLibNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['result'] = details.get('result')
|
||||
if self.node_params.get('is_result'):
|
||||
self.answer_text = str(details.get('result'))
|
||||
self.answer_text = details.get('result')
|
||||
|
||||
def execute(self, function_lib_id, input_field_list, **kwargs) -> NodeResult:
|
||||
function_lib = QuerySet(FunctionLib).filter(id=function_lib_id).first()
|
||||
valid_function(function_lib, self.flow_params_serializer.data.get('user_id'))
|
||||
if not function_lib.is_active:
|
||||
raise Exception(f'函数:{function_lib.name} 不可用')
|
||||
params = {field.get('name'): convert_value(field.get('name'), field.get('value'), field.get('type'),
|
||||
field.get('is_required'),
|
||||
field.get('source'), self)
|
||||
|
|
@ -127,14 +107,8 @@ class BaseFunctionLibNodeNode(IFunctionLibNode):
|
|||
), **field}
|
||||
for field in
|
||||
function_lib.input_field_list]}
|
||||
|
||||
self.context['params'] = params
|
||||
# 合并初始化参数
|
||||
if function_lib.init_params is not None:
|
||||
all_params = json.loads(rsa_long_decrypt(function_lib.init_params)) | params
|
||||
else:
|
||||
all_params = params
|
||||
result = function_executor.exec_code(function_lib.code, all_params)
|
||||
result = function_executor.exec_code(function_lib.code, params)
|
||||
return NodeResult({'result': result}, {}, _write_context=write_context)
|
||||
|
||||
def get_details(self, index: int, **kwargs):
|
||||
|
|
|
|||
|
|
@ -16,35 +16,32 @@ from application.flow.i_step_node import INode, NodeResult
|
|||
from common.exception.app_exception import AppApiException
|
||||
from common.field.common import ObjectField
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework.utils.formatting import lazy_format
|
||||
|
||||
|
||||
class InputField(serializers.Serializer):
|
||||
name = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Variable Name')))
|
||||
is_required = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean(_("Is this field required")))
|
||||
type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("type")), validators=[
|
||||
name = serializers.CharField(required=True, error_messages=ErrMessage.char('变量名'))
|
||||
is_required = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean("是否必填"))
|
||||
type = serializers.CharField(required=True, error_messages=ErrMessage.char("类型"), validators=[
|
||||
validators.RegexValidator(regex=re.compile("^string|int|dict|array|float$"),
|
||||
message=_("The field only supports string|int|dict|array|float"), code=500)
|
||||
message="字段只支持string|int|dict|array|float", code=500)
|
||||
])
|
||||
source = serializers.CharField(required=True, error_messages=ErrMessage.char(_("source")), validators=[
|
||||
source = serializers.CharField(required=True, error_messages=ErrMessage.char("来源"), validators=[
|
||||
validators.RegexValidator(regex=re.compile("^custom|reference$"),
|
||||
message=_("The field only supports custom|reference"), code=500)
|
||||
message="字段只支持custom|reference", code=500)
|
||||
])
|
||||
value = ObjectField(required=True, error_messages=ErrMessage.char(_("Variable Value")), model_type_list=[str, list])
|
||||
value = ObjectField(required=True, error_messages=ErrMessage.char("变量值"), model_type_list=[str, list])
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
is_required = self.data.get('is_required')
|
||||
if is_required and self.data.get('value') is None:
|
||||
message = lazy_format(_('{field}, this field is required.'), field=self.data.get("name"))
|
||||
raise AppApiException(500, message)
|
||||
raise AppApiException(500, f'{self.data.get("name")}必填')
|
||||
|
||||
|
||||
class FunctionNodeParamsSerializer(serializers.Serializer):
|
||||
input_field_list = InputField(required=True, many=True)
|
||||
code = serializers.CharField(required=True, error_messages=ErrMessage.char(_("function")))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
code = serializers.CharField(required=True, error_messages=ErrMessage.char("函数"))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
|
|
|
|||
|
|
@ -33,9 +33,9 @@ def write_context(step_variable: Dict, global_variable: Dict, node, workflow):
|
|||
|
||||
def valid_reference_value(_type, value, name):
|
||||
if _type == 'int':
|
||||
instance_type = int | float
|
||||
instance_type = int
|
||||
elif _type == 'float':
|
||||
instance_type = float | int
|
||||
instance_type = float
|
||||
elif _type == 'dict':
|
||||
instance_type = dict
|
||||
elif _type == 'array':
|
||||
|
|
@ -49,17 +49,13 @@ def valid_reference_value(_type, value, name):
|
|||
|
||||
|
||||
def convert_value(name: str, value, _type, is_required, source, node):
|
||||
if not is_required and (value is None or (isinstance(value, str) and len(value) == 0)):
|
||||
if not is_required and value is None:
|
||||
return None
|
||||
if source == 'reference':
|
||||
value = node.workflow_manage.get_reference_field(
|
||||
value[0],
|
||||
value[1:])
|
||||
valid_reference_value(_type, value, name)
|
||||
if _type == 'int':
|
||||
return int(value)
|
||||
if _type == 'float':
|
||||
return float(value)
|
||||
return value
|
||||
try:
|
||||
if _type == 'int':
|
||||
|
|
@ -84,8 +80,7 @@ def convert_value(name: str, value, _type, is_required, source, node):
|
|||
class BaseFunctionNodeNode(IFunctionNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['result'] = details.get('result')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = str(details.get('result'))
|
||||
self.answer_text = details.get('result')
|
||||
|
||||
def execute(self, input_field_list, code, **kwargs) -> NodeResult:
|
||||
params = {field.get('name'): convert_value(field.get('name'), field.get('value'), field.get('type'),
|
||||
|
|
|
|||
|
|
@ -6,27 +6,22 @@ from rest_framework import serializers
|
|||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ImageGenerateNodeSerializer(serializers.Serializer):
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
|
||||
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word (positive)")))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词(正向)"))
|
||||
|
||||
negative_prompt = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Prompt word (negative)")),
|
||||
allow_null=True, allow_blank=True, )
|
||||
negative_prompt = serializers.CharField(required=False, error_messages=ErrMessage.char("提示词(负向)"), allow_null=True, allow_blank=True,)
|
||||
# 多轮对话数量
|
||||
dialogue_number = serializers.IntegerField(required=False, default=0,
|
||||
error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
|
||||
dialogue_number = serializers.IntegerField(required=False, default=0, error_messages=ErrMessage.integer("多轮对话数量"))
|
||||
|
||||
dialogue_type = serializers.CharField(required=False, default='NODE',
|
||||
error_messages=ErrMessage.char(_("Conversation storage type")))
|
||||
dialogue_type = serializers.CharField(required=False, default='NODE', error_messages=ErrMessage.char("对话存储类型"))
|
||||
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
model_params_setting = serializers.JSONField(required=False, default=dict,
|
||||
error_messages=ErrMessage.json(_("Model parameter settings")))
|
||||
model_params_setting = serializers.JSONField(required=False, default=dict, error_messages=ErrMessage.json("模型参数设置"))
|
||||
|
||||
|
||||
class IImageGenerateNode(INode):
|
||||
|
|
|
|||
|
|
@ -16,8 +16,7 @@ class BaseImageGenerateNode(IImageGenerateNode):
|
|||
def save_context(self, details, workflow_manage):
|
||||
self.context['answer'] = details.get('answer')
|
||||
self.context['question'] = details.get('question')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
def execute(self, model_id, prompt, negative_prompt, dialogue_number, dialogue_type, history_chat_record, chat_id,
|
||||
model_params_setting,
|
||||
|
|
@ -25,8 +24,7 @@ class BaseImageGenerateNode(IImageGenerateNode):
|
|||
**kwargs) -> NodeResult:
|
||||
print(model_params_setting)
|
||||
application = self.workflow_manage.work_flow_post_handler.chat_info.application
|
||||
tti_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'),
|
||||
**model_params_setting)
|
||||
tti_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'), **model_params_setting)
|
||||
history_message = self.get_history_message(history_chat_record, dialogue_number)
|
||||
self.context['history_message'] = history_message
|
||||
question = self.generate_prompt_question(prompt)
|
||||
|
|
@ -49,7 +47,7 @@ class BaseImageGenerateNode(IImageGenerateNode):
|
|||
file_url = FileSerializer(data={'file': file, 'meta': meta}).upload()
|
||||
file_urls.append(file_url)
|
||||
self.context['image_list'] = [{'file_id': path.split('/')[-1], 'url': path} for path in file_urls]
|
||||
answer = ' '.join([f"" for path in file_urls])
|
||||
answer = '\n'.join([f"" for path in file_urls])
|
||||
return NodeResult({'answer': answer, 'chat_model': tti_model, 'message_list': message_list,
|
||||
'image': [{'file_id': path.split('/')[-1], 'url': path} for path in file_urls],
|
||||
'history_message': history_message, 'question': question}, {})
|
||||
|
|
|
|||
|
|
@ -6,25 +6,24 @@ from rest_framework import serializers
|
|||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ImageUnderstandNodeSerializer(serializers.Serializer):
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
|
||||
system = serializers.CharField(required=False, allow_blank=True, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Role Setting")))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
|
||||
error_messages=ErrMessage.char("角色设定"))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
|
||||
# 多轮对话数量
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
|
||||
|
||||
dialogue_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Conversation storage type")))
|
||||
dialogue_type = serializers.CharField(required=True, error_messages=ErrMessage.char("对话存储类型"))
|
||||
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
image_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("picture")))
|
||||
image_list = serializers.ListField(required=False, error_messages=ErrMessage.list("图片"))
|
||||
|
||||
model_params_setting = serializers.JSONField(required=False, default=dict, error_messages=ErrMessage.json("模型参数设置"))
|
||||
|
||||
model_params_setting = serializers.JSONField(required=False, default=dict,
|
||||
error_messages=ErrMessage.json(_("Model parameter settings")))
|
||||
|
||||
|
||||
class IImageUnderstandNode(INode):
|
||||
|
|
|
|||
|
|
@ -69,8 +69,7 @@ class BaseImageUnderstandNode(IImageUnderstandNode):
|
|||
def save_context(self, details, workflow_manage):
|
||||
self.context['answer'] = details.get('answer')
|
||||
self.context['question'] = details.get('question')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
def execute(self, model_id, system, prompt, dialogue_number, dialogue_type, history_chat_record, stream, chat_id,
|
||||
model_params_setting,
|
||||
|
|
|
|||
|
|
@ -1,3 +0,0 @@
|
|||
# coding=utf-8
|
||||
|
||||
from .impl import *
|
||||
|
|
@ -1,35 +0,0 @@
|
|||
# coding=utf-8
|
||||
|
||||
from typing import Type
|
||||
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class McpNodeSerializer(serializers.Serializer):
|
||||
mcp_servers = serializers.JSONField(required=True,
|
||||
error_messages=ErrMessage.char(_("Mcp servers")))
|
||||
|
||||
mcp_server = serializers.CharField(required=True,
|
||||
error_messages=ErrMessage.char(_("Mcp server")))
|
||||
|
||||
mcp_tool = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Mcp tool")))
|
||||
|
||||
tool_params = serializers.DictField(required=True,
|
||||
error_messages=ErrMessage.char(_("Tool parameters")))
|
||||
|
||||
|
||||
class IMcpNode(INode):
|
||||
type = 'mcp-node'
|
||||
|
||||
def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
|
||||
return McpNodeSerializer
|
||||
|
||||
def _run(self):
|
||||
return self.execute(**self.node_params_serializer.data, **self.flow_params_serializer.data)
|
||||
|
||||
def execute(self, mcp_servers, mcp_server, mcp_tool, tool_params, **kwargs) -> NodeResult:
|
||||
pass
|
||||
|
|
@ -1,3 +0,0 @@
|
|||
# coding=utf-8
|
||||
|
||||
from .base_mcp_node import BaseMcpNode
|
||||
|
|
@ -1,61 +0,0 @@
|
|||
# coding=utf-8
|
||||
import asyncio
|
||||
import json
|
||||
from typing import List
|
||||
|
||||
from langchain_mcp_adapters.client import MultiServerMCPClient
|
||||
|
||||
from application.flow.i_step_node import NodeResult
|
||||
from application.flow.step_node.mcp_node.i_mcp_node import IMcpNode
|
||||
|
||||
|
||||
class BaseMcpNode(IMcpNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['result'] = details.get('result')
|
||||
self.context['tool_params'] = details.get('tool_params')
|
||||
self.context['mcp_tool'] = details.get('mcp_tool')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('result')
|
||||
|
||||
def execute(self, mcp_servers, mcp_server, mcp_tool, tool_params, **kwargs) -> NodeResult:
|
||||
servers = json.loads(mcp_servers)
|
||||
params = json.loads(json.dumps(tool_params))
|
||||
params = self.handle_variables(params)
|
||||
|
||||
async def call_tool(s, session, t, a):
|
||||
async with MultiServerMCPClient(s) as client:
|
||||
s = await client.sessions[session].call_tool(t, a)
|
||||
return s
|
||||
|
||||
res = asyncio.run(call_tool(servers, mcp_server, mcp_tool, params))
|
||||
return NodeResult(
|
||||
{'result': [content.text for content in res.content], 'tool_params': params, 'mcp_tool': mcp_tool}, {})
|
||||
|
||||
def handle_variables(self, tool_params):
|
||||
# 处理参数中的变量
|
||||
for k, v in tool_params.items():
|
||||
if type(v) == str:
|
||||
tool_params[k] = self.workflow_manage.generate_prompt(tool_params[k])
|
||||
if type(v) == dict:
|
||||
self.handle_variables(v)
|
||||
if (type(v) == list) and (type(v[0]) == str):
|
||||
tool_params[k] = self.get_reference_content(v)
|
||||
return tool_params
|
||||
|
||||
def get_reference_content(self, fields: List[str]):
|
||||
return str(self.workflow_manage.get_reference_field(
|
||||
fields[0],
|
||||
fields[1:]))
|
||||
|
||||
def get_details(self, index: int, **kwargs):
|
||||
return {
|
||||
'name': self.node.properties.get('stepName'),
|
||||
"index": index,
|
||||
'run_time': self.context.get('run_time'),
|
||||
'status': self.status,
|
||||
'err_message': self.err_message,
|
||||
'type': self.node.type,
|
||||
'mcp_tool': self.context.get('mcp_tool'),
|
||||
'tool_params': self.context.get('tool_params'),
|
||||
'result': self.context.get('result'),
|
||||
}
|
||||
|
|
@ -12,19 +12,18 @@ from rest_framework import serializers
|
|||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class QuestionNodeSerializer(serializers.Serializer):
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
|
||||
model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
|
||||
system = serializers.CharField(required=False, allow_blank=True, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Role Setting")))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
|
||||
error_messages=ErrMessage.char("角色设定"))
|
||||
prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
|
||||
# 多轮对话数量
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
|
||||
dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
|
||||
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.integer(_("Model parameter settings")))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.integer("模型参数相关设置"))
|
||||
|
||||
|
||||
class IQuestionNode(INode):
|
||||
|
|
|
|||
|
|
@ -6,7 +6,6 @@
|
|||
@date：2024/6/4 14:30
|
||||
@desc:
|
||||
"""
|
||||
import re
|
||||
import time
|
||||
from functools import reduce
|
||||
from typing import List, Dict
|
||||
|
|
@ -80,8 +79,7 @@ class BaseQuestionNode(IQuestionNode):
|
|||
self.context['answer'] = details.get('answer')
|
||||
self.context['message_tokens'] = details.get('message_tokens')
|
||||
self.context['answer_tokens'] = details.get('answer_tokens')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id, chat_record_id,
|
||||
model_params_setting=None,
|
||||
|
|
@ -116,9 +114,6 @@ class BaseQuestionNode(IQuestionNode):
|
|||
[history_chat_record[index].get_human_message(), history_chat_record[index].get_ai_message()]
|
||||
for index in
|
||||
range(start_index if start_index > 0 else 0, len(history_chat_record))], [])
|
||||
for message in history_message:
|
||||
if isinstance(message.content, str):
|
||||
message.content = re.sub('<form_rander>[\d\D]*?<\/form_rander>', '', message.content)
|
||||
return history_message
|
||||
|
||||
def generate_prompt_question(self, prompt):
|
||||
|
|
|
|||
|
|
@ -12,18 +12,17 @@ from rest_framework import serializers
|
|||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class RerankerSettingSerializer(serializers.Serializer):
|
||||
# 需要查询的条数
|
||||
top_n = serializers.IntegerField(required=True,
|
||||
error_messages=ErrMessage.integer(_("Reference segment number")))
|
||||
error_messages=ErrMessage.integer("引用分段数"))
|
||||
# 相似度 0-1之间
|
||||
similarity = serializers.FloatField(required=True, max_value=2, min_value=0,
|
||||
error_messages=ErrMessage.float(_("Reference segment number")))
|
||||
error_messages=ErrMessage.float("引用分段数"))
|
||||
max_paragraph_char_number = serializers.IntegerField(required=True,
|
||||
error_messages=ErrMessage.float(_("Maximum number of words in a quoted segment")))
|
||||
error_messages=ErrMessage.float("最大引用分段字数"))
|
||||
|
||||
|
||||
class RerankerStepNodeSerializer(serializers.Serializer):
|
||||
|
|
|
|||
|
|
@ -23,14 +23,9 @@ def merge_reranker_list(reranker_list, result=None):
|
|||
merge_reranker_list(document, result)
|
||||
elif isinstance(document, dict):
|
||||
content = document.get('title', '') + document.get('content', '')
|
||||
title = document.get("title")
|
||||
dataset_name = document.get("dataset_name")
|
||||
document_name = document.get('document_name')
|
||||
result.append(
|
||||
Document(page_content=str(document) if len(content) == 0 else content,
|
||||
metadata={'title': title, 'dataset_name': dataset_name, 'document_name': document_name}))
|
||||
result.append(str(document) if len(content) == 0 else content)
|
||||
else:
|
||||
result.append(Document(page_content=str(document), metadata={}))
|
||||
result.append(str(document))
|
||||
return result
|
||||
|
||||
|
||||
|
|
@ -48,21 +43,6 @@ def filter_result(document_list: List[Document], max_paragraph_char_number, top_
|
|||
return result
|
||||
|
||||
|
||||
def reset_result_list(result_list: List[Document], document_list: List[Document]):
|
||||
r = []
|
||||
document_list = document_list.copy()
|
||||
for result in result_list:
|
||||
filter_result_list = [document for document in document_list if document.page_content == result.page_content]
|
||||
if len(filter_result_list) > 0:
|
||||
item = filter_result_list[0]
|
||||
document_list.remove(item)
|
||||
r.append(Document(page_content=item.page_content,
|
||||
metadata={**item.metadata, 'relevance_score': result.metadata.get('relevance_score')}))
|
||||
else:
|
||||
r.append(result)
|
||||
return r
|
||||
|
||||
|
||||
class BaseRerankerNode(IRerankerNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['document_list'] = details.get('document_list', [])
|
||||
|
|
@ -75,18 +55,16 @@ class BaseRerankerNode(IRerankerNode):
|
|||
**kwargs) -> NodeResult:
|
||||
documents = merge_reranker_list(reranker_list)
|
||||
top_n = reranker_setting.get('top_n', 3)
|
||||
self.context['document_list'] = [{'page_content': document.page_content, 'metadata': document.metadata} for
|
||||
document in documents]
|
||||
self.context['document_list'] = documents
|
||||
self.context['question'] = question
|
||||
reranker_model = get_model_instance_by_model_user_id(reranker_model_id,
|
||||
self.flow_params_serializer.data.get('user_id'),
|
||||
top_n=top_n)
|
||||
result = reranker_model.compress_documents(
|
||||
documents,
|
||||
[Document(page_content=document) for document in documents if document is not None and len(document) > 0],
|
||||
question)
|
||||
similarity = reranker_setting.get('similarity', 0.6)
|
||||
max_paragraph_char_number = reranker_setting.get('max_paragraph_char_number', 5000)
|
||||
result = reset_result_list(result, documents)
|
||||
r = filter_result(result, max_paragraph_char_number, top_n, similarity)
|
||||
return NodeResult({'result_list': r, 'result': ''.join([item.get('page_content') for item in r])}, {})
|
||||
|
||||
|
|
|
|||
|
|
@ -15,31 +15,30 @@ from rest_framework import serializers
|
|||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.common import flat_map
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class DatasetSettingSerializer(serializers.Serializer):
|
||||
# 需要查询的条数
|
||||
top_n = serializers.IntegerField(required=True,
|
||||
error_messages=ErrMessage.integer(_("Reference segment number")))
|
||||
error_messages=ErrMessage.integer("引用分段数"))
|
||||
# 相似度 0-1之间
|
||||
similarity = serializers.FloatField(required=True, max_value=2, min_value=0,
|
||||
error_messages=ErrMessage.float(_('similarity')))
|
||||
error_messages=ErrMessage.float("引用分段数"))
|
||||
search_mode = serializers.CharField(required=True, validators=[
|
||||
validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
|
||||
message=_("The type only supports embedding|keywords|blend"), code=500)
|
||||
], error_messages=ErrMessage.char(_("Retrieval Mode")))
|
||||
message="类型只支持register|reset_password", code=500)
|
||||
], error_messages=ErrMessage.char("检索模式"))
|
||||
max_paragraph_char_number = serializers.IntegerField(required=True,
|
||||
error_messages=ErrMessage.float(_("Maximum number of words in a quoted segment")))
|
||||
error_messages=ErrMessage.float("最大引用分段字数"))
|
||||
|
||||
|
||||
class SearchDatasetStepNodeSerializer(serializers.Serializer):
|
||||
# 需要查询的数据集id列表
|
||||
dataset_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
|
||||
error_messages=ErrMessage.list(_("Dataset id list")))
|
||||
error_messages=ErrMessage.list("数据集id列表"))
|
||||
dataset_setting = DatasetSettingSerializer(required=True)
|
||||
|
||||
question_reference_address = serializers.ListField(required=True)
|
||||
question_reference_address = serializers.ListField(required=True, )
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
|
|
@ -66,7 +65,7 @@ class ISearchDatasetStepNode(INode):
|
|||
if self.flow_params_serializer.data.get('re_chat', False):
|
||||
history_chat_record = self.flow_params_serializer.data.get('history_chat_record', [])
|
||||
paragraph_id_list = [p.get('id') for p in flat_map(
|
||||
[get_paragraph_list(chat_record, self.runtime_node_id) for chat_record in history_chat_record if
|
||||
[get_paragraph_list(chat_record, self.node.id) for chat_record in history_chat_record if
|
||||
chat_record.problem_text == question])]
|
||||
exclude_paragraph_id_list = list(set(paragraph_id_list))
|
||||
|
||||
|
|
|
|||
|
|
@ -88,7 +88,7 @@ class BaseSearchDatasetNode(ISearchDatasetStepNode):
|
|||
'is_hit_handling_method_list': [row for row in result if row.get('is_hit_handling_method')],
|
||||
'data': '\n'.join(
|
||||
[f"{reset_title(paragraph.get('title', ''))}{paragraph.get('content')}" for paragraph in
|
||||
result])[0:dataset_setting.get('max_paragraph_char_number', 5000)],
|
||||
paragraph_list])[0:dataset_setting.get('max_paragraph_char_number', 5000)],
|
||||
'directly_return': '\n'.join(
|
||||
[paragraph.get('content') for paragraph in
|
||||
result if
|
||||
|
|
|
|||
|
|
@ -6,15 +6,14 @@ from rest_framework import serializers
|
|||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class SpeechToTextNodeSerializer(serializers.Serializer):
|
||||
stt_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
|
||||
stt_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
|
||||
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
audio_list = serializers.ListField(required=True, error_messages=ErrMessage.list(_("The audio file cannot be empty")))
|
||||
audio_list = serializers.ListField(required=True, error_messages=ErrMessage.list("音频文件不能为空", ))
|
||||
|
||||
|
||||
class ISpeechToTextNode(INode):
|
||||
|
|
@ -28,7 +27,7 @@ class ISpeechToTextNode(INode):
|
|||
self.node_params_serializer.data.get('audio_list')[1:])
|
||||
for audio in res:
|
||||
if 'file_id' not in audio:
|
||||
raise ValueError(_("Parameter value error: The uploaded audio lacks file_id, and the audio upload fails"))
|
||||
raise ValueError("参数值错误: 上传的音频中缺少file_id，音频上传失败")
|
||||
|
||||
return self.execute(audio=res, **self.node_params_serializer.data, **self.flow_params_serializer.data)
|
||||
|
||||
|
|
|
|||
|
|
@ -18,8 +18,7 @@ class BaseSpeechToTextNode(ISpeechToTextNode):
|
|||
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['answer'] = details.get('answer')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
def execute(self, stt_model_id, chat_id, audio, **kwargs) -> NodeResult:
|
||||
stt_model = get_model_instance_by_model_user_id(stt_model_id, self.flow_params_serializer.data.get('user_id'))
|
||||
|
|
|
|||
|
|
@ -40,13 +40,10 @@ class BaseStartStepNode(IStarNode):
|
|||
self.context['document'] = details.get('document_list')
|
||||
self.context['image'] = details.get('image_list')
|
||||
self.context['audio'] = details.get('audio_list')
|
||||
self.context['other'] = details.get('other_list')
|
||||
self.status = details.get('status')
|
||||
self.err_message = details.get('err_message')
|
||||
for key, value in workflow_variable.items():
|
||||
workflow_manage.context[key] = value
|
||||
for item in details.get('global_fields', []):
|
||||
workflow_manage.context[item.get('key')] = item.get('value')
|
||||
|
||||
def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
|
||||
pass
|
||||
|
|
@ -62,8 +59,7 @@ class BaseStartStepNode(IStarNode):
|
|||
'question': question,
|
||||
'image': self.workflow_manage.image_list,
|
||||
'document': self.workflow_manage.document_list,
|
||||
'audio': self.workflow_manage.audio_list,
|
||||
'other': self.workflow_manage.other_list,
|
||||
'audio': self.workflow_manage.audio_list
|
||||
}
|
||||
return NodeResult(node_variable, workflow_variable)
|
||||
|
||||
|
|
@ -87,6 +83,5 @@ class BaseStartStepNode(IStarNode):
|
|||
'image_list': self.context.get('image'),
|
||||
'document_list': self.context.get('document'),
|
||||
'audio_list': self.context.get('audio'),
|
||||
'other_list': self.context.get('other'),
|
||||
'global_fields': global_fields
|
||||
}
|
||||
|
|
|
|||
|
|
@ -6,17 +6,16 @@ from rest_framework import serializers
|
|||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class TextToSpeechNodeSerializer(serializers.Serializer):
|
||||
tts_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
|
||||
tts_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
|
||||
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
|
||||
is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
|
||||
|
||||
content_list = serializers.ListField(required=True, error_messages=ErrMessage.list(_("Text content")))
|
||||
content_list = serializers.ListField(required=True, error_messages=ErrMessage.list("文本内容"))
|
||||
model_params_setting = serializers.DictField(required=False,
|
||||
error_messages=ErrMessage.integer(_("Model parameter settings")))
|
||||
error_messages=ErrMessage.integer("模型参数相关设置"))
|
||||
|
||||
|
||||
class ITextToSpeechNode(INode):
|
||||
|
|
|
|||
|
|
@ -37,8 +37,7 @@ def bytes_to_uploaded_file(file_bytes, file_name="generated_audio.mp3"):
|
|||
class BaseTextToSpeechNode(ITextToSpeechNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['answer'] = details.get('answer')
|
||||
if self.node_params.get('is_result', False):
|
||||
self.answer_text = details.get('answer')
|
||||
self.answer_text = details.get('answer')
|
||||
|
||||
def execute(self, tts_model_id, chat_id,
|
||||
content, model_params_setting=None,
|
||||
|
|
|
|||
|
|
@ -1,3 +0,0 @@
|
|||
# coding=utf-8
|
||||
|
||||
from .impl import *
|
||||
|
|
@ -1,27 +0,0 @@
|
|||
# coding=utf-8
|
||||
|
||||
from typing import Type
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.flow.i_step_node import INode, NodeResult
|
||||
from common.util.field_message import ErrMessage
|
||||
|
||||
|
||||
class VariableAssignNodeParamsSerializer(serializers.Serializer):
|
||||
variable_list = serializers.ListField(required=True,
|
||||
error_messages=ErrMessage.list(_("Reference Field")))
|
||||
|
||||
|
||||
class IVariableAssignNode(INode):
|
||||
type = 'variable-assign-node'
|
||||
|
||||
def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
|
||||
return VariableAssignNodeParamsSerializer
|
||||
|
||||
def _run(self):
|
||||
return self.execute(**self.node_params_serializer.data, **self.flow_params_serializer.data)
|
||||
|
||||
def execute(self, variable_list, stream, **kwargs) -> NodeResult:
|
||||
pass
|
||||
|
|
@ -1,9 +0,0 @@
|
|||
# coding=utf-8
|
||||
"""
|
||||
@project: maxkb
|
||||
@Author：虎
|
||||
@file： __init__.py
|
||||
@date：2024/6/11 17:49
|
||||
@desc:
|
||||
"""
|
||||
from .base_variable_assign_node import *
|
||||
|
|
@ -1,65 +0,0 @@
|
|||
# coding=utf-8
|
||||
import json
|
||||
from typing import List
|
||||
|
||||
from application.flow.i_step_node import NodeResult
|
||||
from application.flow.step_node.variable_assign_node.i_variable_assign_node import IVariableAssignNode
|
||||
|
||||
|
||||
class BaseVariableAssignNode(IVariableAssignNode):
|
||||
def save_context(self, details, workflow_manage):
|
||||
self.context['variable_list'] = details.get('variable_list')
|
||||
self.context['result_list'] = details.get('result_list')
|
||||
|
||||
def execute(self, variable_list, stream, **kwargs) -> NodeResult:
|
||||
#
|
||||
result_list = []
|
||||
for variable in variable_list:
|
||||
if 'fields' not in variable:
|
||||
continue
|
||||
if 'global' == variable['fields'][0]:
|
||||
result = {
|
||||
'name': variable['name'],
|
||||
'input_value': self.get_reference_content(variable['fields']),
|
||||
}
|
||||
if variable['source'] == 'custom':
|
||||
if variable['type'] == 'json':
|
||||
if isinstance(variable['value'], dict) or isinstance(variable['value'], list):
|
||||
val = variable['value']
|
||||
else:
|
||||
val = json.loads(variable['value'])
|
||||
self.workflow_manage.context[variable['fields'][1]] = val
|
||||
result['output_value'] = variable['value'] = val
|
||||
elif variable['type'] == 'string':
|
||||
# 变量解析 例如：{{global.xxx}}
|
||||
val = self.workflow_manage.generate_prompt(variable['value'])
|
||||
self.workflow_manage.context[variable['fields'][1]] = val
|
||||
result['output_value'] = val
|
||||
else:
|
||||
val = variable['value']
|
||||
self.workflow_manage.context[variable['fields'][1]] = val
|
||||
result['output_value'] = val
|
||||
else:
|
||||
reference = self.get_reference_content(variable['reference'])
|
||||
self.workflow_manage.context[variable['fields'][1]] = reference
|
||||
result['output_value'] = reference
|
||||
result_list.append(result)
|
||||
|
||||
return NodeResult({'variable_list': variable_list, 'result_list': result_list}, {})
|
||||
|
||||
def get_reference_content(self, fields: List[str]):
|
||||
return str(self.workflow_manage.get_reference_field(
|
||||
fields[0],
|
||||
fields[1:]))
|
||||
|
||||
def get_details(self, index: int, **kwargs):
|
||||
return {
|
||||
'name': self.node.properties.get('stepName'),
|
||||
"index": index,
|
||||
'run_time': self.context.get('run_time'),
|
||||
'type': self.node.type,
|
||||
'variable_list': self.context.get('variable_list'),
|
||||
'result_list': self.context.get('result_list'),
|
||||
'status': self.status,
|
||||
'err_message': self.err_message
|
||||
}
|
||||
|
|
@ -16,92 +16,6 @@ from application.flow.i_step_node import WorkFlowPostHandler
|
|||
from common.response import result
|
||||
|
||||
|
||||
class Reasoning:
|
||||
def __init__(self, reasoning_content_start, reasoning_content_end):
|
||||
self.content = ""
|
||||
self.reasoning_content = ""
|
||||
self.all_content = ""
|
||||
self.reasoning_content_start_tag = reasoning_content_start
|
||||
self.reasoning_content_end_tag = reasoning_content_end
|
||||
self.reasoning_content_start_tag_len = len(
|
||||
reasoning_content_start) if reasoning_content_start is not None else 0
|
||||
self.reasoning_content_end_tag_len = len(reasoning_content_end) if reasoning_content_end is not None else 0
|
||||
self.reasoning_content_end_tag_prefix = reasoning_content_end[
|
||||
0] if self.reasoning_content_end_tag_len > 0 else ''
|
||||
self.reasoning_content_is_start = False
|
||||
self.reasoning_content_is_end = False
|
||||
self.reasoning_content_chunk = ""
|
||||
|
||||
def get_end_reasoning_content(self):
|
||||
if not self.reasoning_content_is_start and not self.reasoning_content_is_end:
|
||||
r = {'content': self.all_content, 'reasoning_content': ''}
|
||||
self.reasoning_content_chunk = ""
|
||||
return r
|
||||
if self.reasoning_content_is_start and not self.reasoning_content_is_end:
|
||||
r = {'content': '', 'reasoning_content': self.reasoning_content_chunk}
|
||||
self.reasoning_content_chunk = ""
|
||||
return r
|
||||
return {'content': '', 'reasoning_content': ''}
|
||||
|
||||
def get_reasoning_content(self, chunk):
|
||||
# 如果没有开始思考过程标签那么就全是结果
|
||||
if self.reasoning_content_start_tag is None or len(self.reasoning_content_start_tag) == 0:
|
||||
self.content += chunk.content
|
||||
return {'content': chunk.content, 'reasoning_content': ''}
|
||||
# 如果没有结束思考过程标签那么就全部是思考过程
|
||||
if self.reasoning_content_end_tag is None or len(self.reasoning_content_end_tag) == 0:
|
||||
return {'content': '', 'reasoning_content': chunk.content}
|
||||
self.all_content += chunk.content
|
||||
if not self.reasoning_content_is_start and len(self.all_content) >= self.reasoning_content_start_tag_len:
|
||||
if self.all_content.startswith(self.reasoning_content_start_tag):
|
||||
self.reasoning_content_is_start = True
|
||||
self.reasoning_content_chunk = self.all_content[self.reasoning_content_start_tag_len:]
|
||||
else:
|
||||
if not self.reasoning_content_is_end:
|
||||
self.reasoning_content_is_end = True
|
||||
self.content += self.all_content
|
||||
return {'content': self.all_content, 'reasoning_content': ''}
|
||||
else:
|
||||
if self.reasoning_content_is_start:
|
||||
self.reasoning_content_chunk += chunk.content
|
||||
reasoning_content_end_tag_prefix_index = self.reasoning_content_chunk.find(
|
||||
self.reasoning_content_end_tag_prefix)
|
||||
if self.reasoning_content_is_end:
|
||||
self.content += chunk.content
|
||||
return {'content': chunk.content, 'reasoning_content': ''}
|
||||
# 是否包含结束
|
||||
if reasoning_content_end_tag_prefix_index > -1:
|
||||
if len(self.reasoning_content_chunk) - reasoning_content_end_tag_prefix_index >= self.reasoning_content_end_tag_len:
|
||||
reasoning_content_end_tag_index = self.reasoning_content_chunk.find(self.reasoning_content_end_tag)
|
||||
if reasoning_content_end_tag_index > -1:
|
||||
reasoning_content_chunk = self.reasoning_content_chunk[0:reasoning_content_end_tag_index]
|
||||
content_chunk = self.reasoning_content_chunk[
|
||||
reasoning_content_end_tag_index + self.reasoning_content_end_tag_len:]
|
||||
self.reasoning_content += reasoning_content_chunk
|
||||
self.content += content_chunk
|
||||
self.reasoning_content_chunk = ""
|
||||
self.reasoning_content_is_end = True
|
||||
return {'content': content_chunk, 'reasoning_content': reasoning_content_chunk}
|
||||
else:
|
||||
reasoning_content_chunk = self.reasoning_content_chunk[0:reasoning_content_end_tag_prefix_index + 1]
|
||||
self.reasoning_content_chunk = self.reasoning_content_chunk.replace(reasoning_content_chunk, '')
|
||||
self.reasoning_content += reasoning_content_chunk
|
||||
return {'content': '', 'reasoning_content': reasoning_content_chunk}
|
||||
else:
|
||||
return {'content': '', 'reasoning_content': ''}
|
||||
|
||||
else:
|
||||
if self.reasoning_content_is_end:
|
||||
self.content += chunk.content
|
||||
return {'content': chunk.content, 'reasoning_content': ''}
|
||||
else:
|
||||
# aaa
|
||||
result = {'content': '', 'reasoning_content': self.reasoning_content_chunk}
|
||||
self.reasoning_content += self.reasoning_content_chunk
|
||||
self.reasoning_content_chunk = ""
|
||||
return result
|
||||
|
||||
|
||||
def event_content(chat_id, chat_record_id, response, workflow,
|
||||
write_context,
|
||||
post_handler: WorkFlowPostHandler):
|
||||
|
|
|
|||
|
|
@ -16,14 +16,12 @@ from typing import List, Dict
|
|||
|
||||
from django.db import close_old_connections
|
||||
from django.db.models import QuerySet
|
||||
from django.utils import translation
|
||||
from django.utils.translation import get_language
|
||||
from django.utils.translation import gettext as _
|
||||
from langchain_core.prompts import PromptTemplate
|
||||
from rest_framework import status
|
||||
from rest_framework.exceptions import ErrorDetail, ValidationError
|
||||
|
||||
from application.flow import tools
|
||||
from application.flow.common import Answer
|
||||
from application.flow.i_step_node import INode, WorkFlowPostHandler, NodeResult
|
||||
from application.flow.step_node import get_node
|
||||
from common.exception.app_exception import AppApiException
|
||||
|
|
@ -104,14 +102,12 @@ class Flow:
|
|||
edge_list = [edge for edge in self.edges if edge.sourceAnchorId == source_anchor_id]
|
||||
if len(edge_list) == 0:
|
||||
raise AppApiException(500,
|
||||
_('The branch {branch} of the {node} node needs to be connected').format(
|
||||
node=node.properties.get("stepName"), branch=branch.get("type")))
|
||||
f'{node.properties.get("stepName")} 节点的{branch.get("type")}分支需要连接')
|
||||
|
||||
else:
|
||||
edge_list = [edge for edge in self.edges if edge.sourceNodeId == node.id]
|
||||
if len(edge_list) == 0 and not end_nodes.__contains__(node.type):
|
||||
raise AppApiException(500, _("{node} Nodes cannot be considered as end nodes").format(
|
||||
node=node.properties.get("stepName")))
|
||||
raise AppApiException(500, f'{node.properties.get("stepName")} 节点不能当做结束节点')
|
||||
|
||||
def get_next_nodes(self, node: Node):
|
||||
edge_list = [edge for edge in self.edges if edge.sourceNodeId == node.id]
|
||||
|
|
@ -120,7 +116,7 @@ class Flow:
|
|||
[])
|
||||
if len(node_list) == 0 and not end_nodes.__contains__(node.type):
|
||||
raise AppApiException(500,
|
||||
_("The next node that does not exist"))
|
||||
f'不存在的下一个节点')
|
||||
return node_list
|
||||
|
||||
def is_valid_work_flow(self, up_node=None):
|
||||
|
|
@ -134,17 +130,16 @@ class Flow:
|
|||
def is_valid_start_node(self):
|
||||
start_node_list = [node for node in self.nodes if node.id == 'start-node']
|
||||
if len(start_node_list) == 0:
|
||||
raise AppApiException(500, _('The starting node is required'))
|
||||
raise AppApiException(500, '开始节点必填')
|
||||
if len(start_node_list) > 1:
|
||||
raise AppApiException(500, _('There can only be one starting node'))
|
||||
raise AppApiException(500, '开始节点只能有一个')
|
||||
|
||||
def is_valid_model_params(self):
|
||||
node_list = [node for node in self.nodes if (node.type == 'ai-chat-node' or node.type == 'question-node')]
|
||||
for node in node_list:
|
||||
model = QuerySet(Model).filter(id=node.properties.get('node_data', {}).get('model_id')).first()
|
||||
if model is None:
|
||||
raise ValidationError(ErrorDetail(
|
||||
_('The node {node} model does not exist').format(node=node.properties.get("stepName"))))
|
||||
raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 模型不存在'))
|
||||
credential = get_model_credential(model.provider, model.model_type, model.model_name)
|
||||
model_params_setting = node.properties.get('node_data', {}).get('model_params_setting')
|
||||
model_params_setting_form = credential.get_model_params_setting_form(
|
||||
|
|
@ -153,25 +148,22 @@ class Flow:
|
|||
model_params_setting = model_params_setting_form.get_default_form_data()
|
||||
node.properties.get('node_data', {})['model_params_setting'] = model_params_setting
|
||||
if node.properties.get('status', 200) != 200:
|
||||
raise ValidationError(
|
||||
ErrorDetail(_("Node {node} is unavailable").format(node.properties.get("stepName"))))
|
||||
raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 不可用'))
|
||||
node_list = [node for node in self.nodes if (node.type == 'function-lib-node')]
|
||||
for node in node_list:
|
||||
function_lib_id = node.properties.get('node_data', {}).get('function_lib_id')
|
||||
if function_lib_id is None:
|
||||
raise ValidationError(ErrorDetail(
|
||||
_('The library ID of node {node} cannot be empty').format(node=node.properties.get("stepName"))))
|
||||
raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 函数库id不能为空'))
|
||||
f_lib = QuerySet(FunctionLib).filter(id=function_lib_id).first()
|
||||
if f_lib is None:
|
||||
raise ValidationError(ErrorDetail(_("The function library for node {node} is not available").format(
|
||||
node=node.properties.get("stepName"))))
|
||||
raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 函数库不可用'))
|
||||
|
||||
def is_valid_base_node(self):
|
||||
base_node_list = [node for node in self.nodes if node.id == 'base-node']
|
||||
if len(base_node_list) == 0:
|
||||
raise AppApiException(500, _('Basic information node is required'))
|
||||
raise AppApiException(500, '基本信息节点必填')
|
||||
if len(base_node_list) > 1:
|
||||
raise AppApiException(500, _('There can only be one basic information node'))
|
||||
raise AppApiException(500, '基本信息节点只能有一个')
|
||||
|
||||
|
||||
class NodeResultFuture:
|
||||
|
|
@ -238,7 +230,6 @@ class WorkflowManage:
|
|||
base_to_response: BaseToResponse = SystemToResponse(), form_data=None, image_list=None,
|
||||
document_list=None,
|
||||
audio_list=None,
|
||||
other_list=None,
|
||||
start_node_id=None,
|
||||
start_node_data=None, chat_record=None, child_node=None):
|
||||
if form_data is None:
|
||||
|
|
@ -249,15 +240,12 @@ class WorkflowManage:
|
|||
document_list = []
|
||||
if audio_list is None:
|
||||
audio_list = []
|
||||
if other_list is None:
|
||||
other_list = []
|
||||
self.start_node_id = start_node_id
|
||||
self.start_node = None
|
||||
self.form_data = form_data
|
||||
self.image_list = image_list
|
||||
self.document_list = document_list
|
||||
self.audio_list = audio_list
|
||||
self.other_list = other_list
|
||||
self.params = params
|
||||
self.flow = flow
|
||||
self.context = {}
|
||||
|
|
@ -273,36 +261,11 @@ class WorkflowManage:
|
|||
self.child_node = child_node
|
||||
self.future_list = []
|
||||
self.lock = threading.Lock()
|
||||
self.field_list = []
|
||||
self.global_field_list = []
|
||||
self.init_fields()
|
||||
if start_node_id is not None:
|
||||
self.load_node(chat_record, start_node_id, start_node_data)
|
||||
else:
|
||||
self.node_context = []
|
||||
|
||||
def init_fields(self):
|
||||
field_list = []
|
||||
global_field_list = []
|
||||
for node in self.flow.nodes:
|
||||
properties = node.properties
|
||||
node_name = properties.get('stepName')
|
||||
node_id = node.id
|
||||
node_config = properties.get('config')
|
||||
if node_config is not None:
|
||||
fields = node_config.get('fields')
|
||||
if fields is not None:
|
||||
for field in fields:
|
||||
field_list.append({**field, 'node_id': node_id, 'node_name': node_name})
|
||||
global_fields = node_config.get('globalFields')
|
||||
if global_fields is not None:
|
||||
for global_field in global_fields:
|
||||
global_field_list.append({**global_field, 'node_id': node_id, 'node_name': node_name})
|
||||
field_list.sort(key=lambda f: len(f.get('node_name')), reverse=True)
|
||||
global_field_list.sort(key=lambda f: len(f.get('node_name')), reverse=True)
|
||||
self.field_list = field_list
|
||||
self.global_field_list = global_field_list
|
||||
|
||||
def append_answer(self, content):
|
||||
self.answer += content
|
||||
self.answer_list[-1] += content
|
||||
|
|
@ -339,22 +302,20 @@ class WorkflowManage:
|
|||
node = self.get_node_cls_by_id(node_id, node_details.get('up_node_id_list'))
|
||||
node.valid_args(node.node_params, node.workflow_params)
|
||||
node.save_context(node_details, self)
|
||||
node.node_chunk.end()
|
||||
self.node_context.append(node)
|
||||
|
||||
def run(self):
|
||||
close_old_connections()
|
||||
language = get_language()
|
||||
if self.params.get('stream'):
|
||||
return self.run_stream(self.start_node, None, language)
|
||||
return self.run_block(language)
|
||||
return self.run_stream(self.start_node, None)
|
||||
return self.run_block()
|
||||
|
||||
def run_block(self, language='zh'):
|
||||
def run_block(self):
|
||||
"""
|
||||
非流式响应
|
||||
@return: 结果
|
||||
"""
|
||||
self.run_chain_async(None, None, language)
|
||||
self.run_chain_async(None, None)
|
||||
while self.is_run():
|
||||
pass
|
||||
details = self.get_runtime_details()
|
||||
|
|
@ -363,40 +324,32 @@ class WorkflowManage:
|
|||
answer_tokens = sum([row.get('answer_tokens') for row in details.values() if
|
||||
'answer_tokens' in row and row.get('answer_tokens') is not None])
|
||||
answer_text_list = self.get_answer_text_list()
|
||||
answer_text = '\n\n'.join(
|
||||
'\n\n'.join([a.get('content') for a in answer]) for answer in
|
||||
answer_text_list)
|
||||
answer_list = reduce(lambda pre, _n: [*pre, *_n], answer_text_list, [])
|
||||
answer_text = '\n\n'.join(answer['content'] for answer in answer_text_list)
|
||||
self.work_flow_post_handler.handler(self.params['chat_id'], self.params['chat_record_id'],
|
||||
answer_text,
|
||||
self)
|
||||
return self.base_to_response.to_block_response(self.params['chat_id'],
|
||||
self.params['chat_record_id'], answer_text, True
|
||||
, message_tokens, answer_tokens,
|
||||
_status=status.HTTP_200_OK if self.status == 200 else status.HTTP_500_INTERNAL_SERVER_ERROR,
|
||||
other_params={'answer_list': answer_list})
|
||||
_status=status.HTTP_200_OK if self.status == 200 else status.HTTP_500_INTERNAL_SERVER_ERROR)
|
||||
|
||||
def run_stream(self, current_node, node_result_future, language='zh'):
|
||||
def run_stream(self, current_node, node_result_future):
|
||||
"""
|
||||
流式响应
|
||||
@return:
|
||||
"""
|
||||
self.run_chain_async(current_node, node_result_future, language)
|
||||
self.run_chain_async(current_node, node_result_future)
|
||||
return tools.to_stream_response_simple(self.await_result())
|
||||
|
||||
def is_run(self, timeout=0.5):
|
||||
future_list_len = len(self.future_list)
|
||||
def is_run(self, timeout=0.1):
|
||||
self.lock.acquire()
|
||||
try:
|
||||
r = concurrent.futures.wait(self.future_list, timeout)
|
||||
if len(r.not_done) > 0:
|
||||
return True
|
||||
else:
|
||||
if future_list_len == len(self.future_list):
|
||||
return False
|
||||
else:
|
||||
return True
|
||||
return len(r.not_done) > 0
|
||||
except Exception as e:
|
||||
return True
|
||||
finally:
|
||||
self.lock.release()
|
||||
|
||||
def await_result(self):
|
||||
try:
|
||||
|
|
@ -413,8 +366,6 @@ class WorkflowManage:
|
|||
break
|
||||
yield chunk
|
||||
finally:
|
||||
while self.is_run():
|
||||
pass
|
||||
details = self.get_runtime_details()
|
||||
message_tokens = sum([row.get('message_tokens') for row in details.values() if
|
||||
'message_tokens' in row and row.get('message_tokens') is not None])
|
||||
|
|
@ -429,12 +380,11 @@ class WorkflowManage:
|
|||
[],
|
||||
'', True, message_tokens, answer_tokens, {})
|
||||
|
||||
def run_chain_async(self, current_node, node_result_future, language='zh'):
|
||||
future = executor.submit(self.run_chain_manage, current_node, node_result_future, language)
|
||||
def run_chain_async(self, current_node, node_result_future):
|
||||
future = executor.submit(self.run_chain_manage, current_node, node_result_future)
|
||||
self.future_list.append(future)
|
||||
|
||||
def run_chain_manage(self, current_node, node_result_future, language='zh'):
|
||||
translation.activate(language)
|
||||
def run_chain_manage(self, current_node, node_result_future):
|
||||
if current_node is None:
|
||||
start_node = self.get_start_node()
|
||||
current_node = get_node(start_node.type)(start_node, self.params, self)
|
||||
|
|
@ -446,15 +396,18 @@ class WorkflowManage:
|
|||
return
|
||||
node_list = self.get_next_node_list(current_node, result)
|
||||
if len(node_list) == 1:
|
||||
self.run_chain_manage(node_list[0], None, language)
|
||||
self.run_chain_manage(node_list[0], None)
|
||||
elif len(node_list) > 1:
|
||||
sorted_node_run_list = sorted(node_list, key=lambda n: n.node.y)
|
||||
# 获取到可执行的子节点
|
||||
result_list = [{'node': node, 'future': executor.submit(self.run_chain_manage, node, None, language)} for
|
||||
node in
|
||||
result_list = [{'node': node, 'future': executor.submit(self.run_chain_manage, node, None)} for node in
|
||||
sorted_node_run_list]
|
||||
for r in result_list:
|
||||
self.future_list.append(r.get('future'))
|
||||
try:
|
||||
self.lock.acquire()
|
||||
for r in result_list:
|
||||
self.future_list.append(r.get('future'))
|
||||
finally:
|
||||
self.lock.release()
|
||||
|
||||
def run_chain(self, current_node, node_result_future=None):
|
||||
if node_result_future is None:
|
||||
|
|
@ -494,7 +447,6 @@ class WorkflowManage:
|
|||
self.node_context.append(current_node)
|
||||
|
||||
def hand_event_node_result(self, current_node, node_result_future):
|
||||
runtime_node_id = current_node.runtime_node_id
|
||||
real_node_id = current_node.runtime_node_id
|
||||
child_node = {}
|
||||
view_type = current_node.view_type
|
||||
|
|
@ -504,7 +456,6 @@ class WorkflowManage:
|
|||
if result is not None:
|
||||
if self.is_result(current_node, current_result):
|
||||
for r in result:
|
||||
reasoning_content = ''
|
||||
content = r
|
||||
child_node = {}
|
||||
node_is_end = False
|
||||
|
|
@ -514,24 +465,20 @@ class WorkflowManage:
|
|||
child_node = {'runtime_node_id': r.get('runtime_node_id'),
|
||||
'chat_record_id': r.get('chat_record_id')
|
||||
, 'child_node': r.get('child_node')}
|
||||
if r.__contains__('real_node_id'):
|
||||
real_node_id = r.get('real_node_id')
|
||||
if r.__contains__('node_is_end'):
|
||||
node_is_end = r.get('node_is_end')
|
||||
real_node_id = r.get('real_node_id')
|
||||
node_is_end = r.get('node_is_end')
|
||||
view_type = r.get('view_type')
|
||||
reasoning_content = r.get('reasoning_content')
|
||||
chunk = self.base_to_response.to_stream_chunk_response(self.params['chat_id'],
|
||||
self.params['chat_record_id'],
|
||||
current_node.id,
|
||||
current_node.up_node_id_list,
|
||||
content, False, 0, 0,
|
||||
{'node_type': current_node.type,
|
||||
'runtime_node_id': runtime_node_id,
|
||||
'runtime_node_id': current_node.runtime_node_id,
|
||||
'view_type': view_type,
|
||||
'child_node': child_node,
|
||||
'node_is_end': node_is_end,
|
||||
'real_node_id': real_node_id,
|
||||
'reasoning_content': reasoning_content})
|
||||
'real_node_id': real_node_id})
|
||||
current_node.node_chunk.add_chunk(chunk)
|
||||
chunk = (self.base_to_response
|
||||
.to_stream_chunk_response(self.params['chat_id'],
|
||||
|
|
@ -539,12 +486,11 @@ class WorkflowManage:
|
|||
current_node.id,
|
||||
current_node.up_node_id_list,
|
||||
'', False, 0, 0, {'node_is_end': True,
|
||||
'runtime_node_id': runtime_node_id,
|
||||
'runtime_node_id': current_node.runtime_node_id,
|
||||
'node_type': current_node.type,
|
||||
'view_type': view_type,
|
||||
'child_node': child_node,
|
||||
'real_node_id': real_node_id,
|
||||
'reasoning_content': ''}))
|
||||
'real_node_id': real_node_id}))
|
||||
current_node.node_chunk.add_chunk(chunk)
|
||||
else:
|
||||
list(result)
|
||||
|
|
@ -556,7 +502,7 @@ class WorkflowManage:
|
|||
self.params['chat_record_id'],
|
||||
current_node.id,
|
||||
current_node.up_node_id_list,
|
||||
'Exception:' + str(e), False, 0, 0,
|
||||
str(e), False, 0, 0,
|
||||
{'node_is_end': True,
|
||||
'runtime_node_id': current_node.runtime_node_id,
|
||||
'node_type': current_node.type,
|
||||
|
|
@ -643,19 +589,20 @@ class WorkflowManage:
|
|||
if len(current_answer.content) > 0:
|
||||
if up_node is None or current_answer.view_type == 'single_view' or (
|
||||
current_answer.view_type == 'many_view' and up_node.view_type == 'single_view'):
|
||||
result.append([current_answer])
|
||||
result.append(current_answer)
|
||||
else:
|
||||
if len(result) > 0:
|
||||
exec_index = len(result) - 1
|
||||
if isinstance(result[exec_index], list):
|
||||
result[exec_index].append(current_answer)
|
||||
content = result[exec_index].content
|
||||
result[exec_index].content += current_answer.content if len(
|
||||
content) == 0 else ('\n\n' + current_answer.content)
|
||||
else:
|
||||
result.insert(0, [current_answer])
|
||||
result.insert(0, current_answer)
|
||||
up_node = current_answer
|
||||
if len(result) == 0:
|
||||
# 如果没有响应 就响应一个空数据
|
||||
return [[]]
|
||||
return [[item.to_dict() for item in r] for r in result]
|
||||
return [Answer('', '', '', '', {}).to_dict()]
|
||||
return [r.to_dict() for r in result]
|
||||
|
||||
def get_next_node(self):
|
||||
"""
|
||||
|
|
@ -717,18 +664,9 @@ class WorkflowManage:
|
|||
for edge in self.flow.edges:
|
||||
if (edge.sourceNodeId == current_node.id and
|
||||
f"{edge.sourceNodeId}_{current_node_result.node_variable.get('branch_id')}_right" == edge.sourceAnchorId):
|
||||
next_node = [node for node in self.flow.nodes if node.id == edge.targetNodeId]
|
||||
if len(next_node) == 0:
|
||||
continue
|
||||
if next_node[0].properties.get('condition', "AND") == 'AND':
|
||||
if self.dependent_node_been_executed(edge.targetNodeId):
|
||||
node_list.append(
|
||||
self.get_node_cls_by_id(edge.targetNodeId,
|
||||
[*current_node.up_node_id_list, current_node.node.id]))
|
||||
else:
|
||||
if self.dependent_node_been_executed(edge.targetNodeId):
|
||||
node_list.append(
|
||||
self.get_node_cls_by_id(edge.targetNodeId,
|
||||
[*current_node.up_node_id_list, current_node.node.id]))
|
||||
self.get_node_cls_by_id(edge.targetNodeId, self.get_up_node_id_list(edge.targetNodeId)))
|
||||
else:
|
||||
for edge in self.flow.edges:
|
||||
if edge.sourceNodeId == current_node.id:
|
||||
|
|
@ -738,12 +676,10 @@ class WorkflowManage:
|
|||
if next_node[0].properties.get('condition', "AND") == 'AND':
|
||||
if self.dependent_node_been_executed(edge.targetNodeId):
|
||||
node_list.append(
|
||||
self.get_node_cls_by_id(edge.targetNodeId,
|
||||
[*current_node.up_node_id_list, current_node.node.id]))
|
||||
self.get_node_cls_by_id(edge.targetNodeId, self.get_up_node_id_list(edge.targetNodeId)))
|
||||
else:
|
||||
node_list.append(
|
||||
self.get_node_cls_by_id(edge.targetNodeId,
|
||||
[*current_node.up_node_id_list, current_node.node.id]))
|
||||
self.get_node_cls_by_id(edge.targetNodeId, [current_node.node.id]))
|
||||
return node_list
|
||||
|
||||
def get_reference_field(self, node_id: str, fields: List[str]):
|
||||
|
|
@ -768,15 +704,22 @@ class WorkflowManage:
|
|||
|
||||
def reset_prompt(self, prompt: str):
|
||||
placeholder = "{}"
|
||||
for field in self.field_list:
|
||||
globeLabel = f"{field.get('node_name')}.{field.get('value')}"
|
||||
globeValue = f"context.get('{field.get('node_id')}',{placeholder}).get('{field.get('value', '')}','')"
|
||||
prompt = prompt.replace(globeLabel, globeValue)
|
||||
for field in self.global_field_list:
|
||||
globeLabel = f"全局变量.{field.get('value')}"
|
||||
globeLabelNew = f"global.{field.get('value')}"
|
||||
globeValue = f"context.get('global').get('{field.get('value', '')}','')"
|
||||
prompt = prompt.replace(globeLabel, globeValue).replace(globeLabelNew, globeValue)
|
||||
for node in self.flow.nodes:
|
||||
properties = node.properties
|
||||
node_config = properties.get('config')
|
||||
if node_config is not None:
|
||||
fields = node_config.get('fields')
|
||||
if fields is not None:
|
||||
for field in fields:
|
||||
globeLabel = f"{properties.get('stepName')}.{field.get('value')}"
|
||||
globeValue = f"context.get('{node.id}',{placeholder}).get('{field.get('value', '')}','')"
|
||||
prompt = prompt.replace(globeLabel, globeValue)
|
||||
global_fields = node_config.get('globalFields')
|
||||
if global_fields is not None:
|
||||
for field in global_fields:
|
||||
globeLabel = f"全局变量.{field.get('value')}"
|
||||
globeValue = f"context.get('global').get('{field.get('value', '')}','')"
|
||||
prompt = prompt.replace(globeLabel, globeValue)
|
||||
return prompt
|
||||
|
||||
def generate_prompt(self, prompt: str):
|
||||
|
|
|
|||
|
|
@ -1,11 +1,11 @@
|
|||
# Generated by Django 4.2.13 on 2024-07-15 15:52
|
||||
|
||||
import application.models.application
|
||||
from django.db import migrations, models
|
||||
|
||||
import common.encoder.encoder
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('application', '0009_application_type_application_work_flow_and_more'),
|
||||
]
|
||||
|
|
@ -14,6 +14,6 @@ class Migration(migrations.Migration):
|
|||
migrations.AlterField(
|
||||
model_name='chatrecord',
|
||||
name='details',
|
||||
field=models.JSONField(default=dict, encoder=common.encoder.encoder.SystemEncoder, verbose_name='对话详情'),
|
||||
field=models.JSONField(default=dict, encoder=application.models.application.DateEncoder, verbose_name='对话详情'),
|
||||
),
|
||||
]
|
||||
|
|
|
|||
|
|
@ -1,18 +0,0 @@
|
|||
# Generated by Django 4.2.15 on 2025-01-03 14:07
|
||||
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('application', '0021_applicationpublicaccessclient_client_id_and_more'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AddField(
|
||||
model_name='application',
|
||||
name='tts_autoplay',
|
||||
field=models.BooleanField(default=False, verbose_name='自动播放'),
|
||||
),
|
||||
]
|
||||
|
|
@ -1,18 +0,0 @@
|
|||
# Generated by Django 4.2.15 on 2025-01-06 10:37
|
||||
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('application', '0022_application_tts_autoplay'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AddField(
|
||||
model_name='application',
|
||||
name='stt_autosend',
|
||||
field=models.BooleanField(default=False, verbose_name='自动发送'),
|
||||
),
|
||||
]
|
||||
|
|
@ -1,17 +0,0 @@
|
|||
# Generated by Django 4.2.15 on 2025-01-20 06:59
|
||||
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
dependencies = [
|
||||
('application', '0023_application_stt_autosend'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AddField(
|
||||
model_name='applicationaccesstoken',
|
||||
name='language',
|
||||
field=models.CharField(default=None, max_length=10, null=True, verbose_name='语言')
|
||||
),
|
||||
]
|
||||
|
|
@ -1,18 +0,0 @@
|
|||
# Generated by Django 4.2.18 on 2025-01-22 09:53
|
||||
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('application', '0024_applicationaccesstoken_language'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AlterField(
|
||||
model_name='application',
|
||||
name='prologue',
|
||||
field=models.CharField(default='', max_length=40960, verbose_name='开场白'),
|
||||
),
|
||||
]
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
# Generated by Django 4.2.18 on 2025-03-18 06:05
|
||||
|
||||
import application.models.application
|
||||
import common.encoder.encoder
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('application', '0025_alter_application_prologue'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AddField(
|
||||
model_name='chat',
|
||||
name='asker',
|
||||
field=models.JSONField(default=application.models.application.default_asker, encoder=common.encoder.encoder.SystemEncoder, verbose_name='访问者'),
|
||||
),
|
||||
]
|
||||
|
|
@ -13,14 +13,9 @@ from django.db import models
|
|||
|
||||
from application.models import Application
|
||||
from common.mixins.app_model_mixin import AppModelMixin
|
||||
from smartdoc.const import CONFIG
|
||||
from users.models import User
|
||||
|
||||
|
||||
def get_language():
|
||||
return CONFIG.get_language_code()
|
||||
|
||||
|
||||
class ApplicationApiKey(AppModelMixin):
|
||||
id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
|
||||
secret_key = models.CharField(max_length=1024, verbose_name="秘钥", unique=True)
|
||||
|
|
@ -50,8 +45,6 @@ class ApplicationAccessToken(AppModelMixin):
|
|||
, default=list)
|
||||
show_source = models.BooleanField(default=False, verbose_name="是否显示知识来源")
|
||||
|
||||
language = models.CharField(max_length=10, verbose_name="语言", default=None, null=True)
|
||||
|
||||
class Meta:
|
||||
db_table = "application_access_token"
|
||||
|
||||
|
|
|
|||
|
|
@ -6,13 +6,14 @@
|
|||
@date：2023/9/25 14:24
|
||||
@desc:
|
||||
"""
|
||||
import datetime
|
||||
import json
|
||||
import uuid
|
||||
|
||||
from django.contrib.postgres.fields import ArrayField
|
||||
from django.db import models
|
||||
from langchain.schema import HumanMessage, AIMessage
|
||||
from django.utils.translation import gettext as _
|
||||
from common.encoder.encoder import SystemEncoder
|
||||
|
||||
from common.mixins.app_model_mixin import AppModelMixin
|
||||
from dataset.models.data_set import DataSet
|
||||
from setting.models.model_management import Model
|
||||
|
|
@ -34,20 +35,14 @@ def get_dataset_setting_dict():
|
|||
|
||||
|
||||
def get_model_setting_dict():
|
||||
return {
|
||||
'prompt': Application.get_default_model_prompt(),
|
||||
'no_references_prompt': '{question}',
|
||||
'reasoning_content_start': '<think>',
|
||||
'reasoning_content_end': '</think>',
|
||||
'reasoning_content_enable': False,
|
||||
}
|
||||
return {'prompt': Application.get_default_model_prompt(), 'no_references_prompt': '{question}'}
|
||||
|
||||
|
||||
class Application(AppModelMixin):
|
||||
id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
|
||||
name = models.CharField(max_length=128, verbose_name="应用名称")
|
||||
desc = models.CharField(max_length=512, verbose_name="引用描述", default="")
|
||||
prologue = models.CharField(max_length=40960, verbose_name="开场白", default="")
|
||||
prologue = models.CharField(max_length=4096, verbose_name="开场白", default="")
|
||||
dialogue_number = models.IntegerField(default=0, verbose_name="会话数量")
|
||||
user = models.ForeignKey(User, on_delete=models.DO_NOTHING)
|
||||
model = models.ForeignKey(Model, on_delete=models.SET_NULL, db_constraint=False, blank=True, null=True)
|
||||
|
|
@ -70,8 +65,6 @@ class Application(AppModelMixin):
|
|||
tts_model_enable = models.BooleanField(verbose_name="语音合成模型是否启用", default=False)
|
||||
stt_model_enable = models.BooleanField(verbose_name="语音识别模型是否启用", default=False)
|
||||
tts_type = models.CharField(verbose_name="语音播放类型", max_length=20, default="BROWSER")
|
||||
tts_autoplay = models.BooleanField(verbose_name="自动播放", default=False)
|
||||
stt_autosend = models.BooleanField(verbose_name="自动发送", default=False)
|
||||
clean_time = models.IntegerField(verbose_name="清理时间", default=180)
|
||||
file_upload_enable = models.BooleanField(verbose_name="文件上传是否启用", default=False)
|
||||
file_upload_setting = models.JSONField(verbose_name="文件上传相关设置", default=dict)
|
||||
|
|
@ -115,15 +108,10 @@ class ApplicationDatasetMapping(AppModelMixin):
|
|||
db_table = "application_dataset_mapping"
|
||||
|
||||
|
||||
def default_asker():
|
||||
return {'user_name': '游客'}
|
||||
|
||||
|
||||
class Chat(AppModelMixin):
|
||||
id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
|
||||
application = models.ForeignKey(Application, on_delete=models.CASCADE)
|
||||
abstract = models.CharField(max_length=1024, verbose_name="摘要")
|
||||
asker = models.JSONField(verbose_name="访问者", default=default_asker, encoder=SystemEncoder)
|
||||
client_id = models.UUIDField(verbose_name="客户端id", default=None, null=True)
|
||||
is_deleted = models.BooleanField(verbose_name="", default=False)
|
||||
|
||||
|
|
@ -138,6 +126,16 @@ class VoteChoices(models.TextChoices):
|
|||
TRAMPLE = 1, '反对'
|
||||
|
||||
|
||||
class DateEncoder(json.JSONEncoder):
|
||||
def default(self, obj):
|
||||
if isinstance(obj, uuid.UUID):
|
||||
return str(obj)
|
||||
if isinstance(obj, datetime.datetime):
|
||||
return obj.strftime("%Y-%m-%d %H:%M:%S")
|
||||
else:
|
||||
return json.JSONEncoder.default(self, obj)
|
||||
|
||||
|
||||
class ChatRecord(AppModelMixin):
|
||||
"""
|
||||
对话日志 详情
|
||||
|
|
@ -154,7 +152,7 @@ class ChatRecord(AppModelMixin):
|
|||
message_tokens = models.IntegerField(verbose_name="请求token数量", default=0)
|
||||
answer_tokens = models.IntegerField(verbose_name="响应token数量", default=0)
|
||||
const = models.IntegerField(verbose_name="总费用", default=0)
|
||||
details = models.JSONField(verbose_name="对话详情", default=dict, encoder=SystemEncoder)
|
||||
details = models.JSONField(verbose_name="对话详情", default=dict, encoder=DateEncoder)
|
||||
improve_paragraph_id_list = ArrayField(verbose_name="改进标注列表",
|
||||
base_field=models.UUIDField(max_length=128, blank=True)
|
||||
, default=list)
|
||||
|
|
@ -167,11 +165,7 @@ class ChatRecord(AppModelMixin):
|
|||
return HumanMessage(content=self.problem_text)
|
||||
|
||||
def get_ai_message(self):
|
||||
answer_text = self.answer_text
|
||||
if answer_text is None or len(str(answer_text).strip()) == 0:
|
||||
answer_text = _(
|
||||
'Sorry, no relevant content was found. Please re-describe your problem or provide more information. ')
|
||||
return AIMessage(content=answer_text)
|
||||
return AIMessage(content=self.answer_text)
|
||||
|
||||
def get_node_details_runtime_node_id(self, runtime_node_id):
|
||||
return self.details.get(runtime_node_id, None)
|
||||
|
|
|
|||
|
|
@ -6,7 +6,6 @@
|
|||
@date：2023/11/7 10:02
|
||||
@desc:
|
||||
"""
|
||||
import asyncio
|
||||
import datetime
|
||||
import hashlib
|
||||
import json
|
||||
|
|
@ -16,6 +15,7 @@ import re
|
|||
import uuid
|
||||
from functools import reduce
|
||||
from typing import Dict, List
|
||||
|
||||
from django.contrib.postgres.fields import ArrayField
|
||||
from django.core import cache, validators
|
||||
from django.core import signing
|
||||
|
|
@ -24,10 +24,7 @@ from django.db.models import QuerySet
|
|||
from django.db.models.expressions import RawSQL
|
||||
from django.http import HttpResponse
|
||||
from django.template import Template, Context
|
||||
from langchain_mcp_adapters.client import MultiServerMCPClient
|
||||
from mcp.client.sse import sse_client
|
||||
from rest_framework import serializers, status
|
||||
from rest_framework.utils.formatting import lazy_format
|
||||
|
||||
from application.flow.workflow_manage import Flow
|
||||
from application.models import Application, ApplicationDatasetMapping, ApplicationTypeChoices, WorkFlowVersion
|
||||
|
|
@ -38,17 +35,17 @@ from common.config.embedding_config import VectorStore
|
|||
from common.constants.authentication_type import AuthenticationType
|
||||
from common.db.search import get_dynamics_model, native_search, native_page_search
|
||||
from common.db.sql_execute import select_list
|
||||
from common.exception.app_exception import AppApiException, NotFound404, AppUnauthorizedFailed, ChatException
|
||||
from common.exception.app_exception import AppApiException, NotFound404, AppUnauthorizedFailed
|
||||
from common.field.common import UploadedImageField, UploadedFileField
|
||||
from common.models.db_model_manage import DBModelManage
|
||||
from common.response import result
|
||||
from common.util.common import valid_license, password_encrypt, restricted_loads
|
||||
from common.util.common import valid_license, password_encrypt
|
||||
from common.util.field_message import ErrMessage
|
||||
from common.util.file_util import get_file_content
|
||||
from dataset.models import DataSet, Document, Image
|
||||
from dataset.serializers.common_serializers import list_paragraph, get_embedding_model_by_dataset_id_list
|
||||
from embedding.models import SearchMode
|
||||
from function_lib.models.function import FunctionLib, PermissionType, FunctionType
|
||||
from function_lib.models.function import FunctionLib, PermissionType
|
||||
from function_lib.serializers.function_lib_serializer import FunctionLibSerializer, FunctionLibModelSerializer
|
||||
from setting.models import AuthOperate, TeamMemberPermission
|
||||
from setting.models.model_management import Model
|
||||
|
|
@ -57,13 +54,13 @@ from setting.models_provider.tools import get_model_instance_by_model_user_id
|
|||
from setting.serializers.provider_serializers import ModelSerializer
|
||||
from smartdoc.conf import PROJECT_DIR
|
||||
from users.models import User
|
||||
from django.utils.translation import gettext_lazy as _, get_language, to_locale
|
||||
from django.db.models import Value
|
||||
from django.db.models.fields.json import KeyTextTransform
|
||||
|
||||
chat_cache = cache.caches['chat_cache']
|
||||
|
||||
|
||||
class MKInstance:
|
||||
|
||||
def __init__(self, application: dict, function_lib_list: List[dict], version: str):
|
||||
self.application = application
|
||||
self.function_lib_list = function_lib_list
|
||||
|
|
@ -71,13 +68,13 @@ class MKInstance:
|
|||
|
||||
|
||||
class ModelDatasetAssociation(serializers.Serializer):
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
model_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("Model id")))
|
||||
error_messages=ErrMessage.char("模型id"))
|
||||
dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True,
|
||||
error_messages=ErrMessage.uuid(
|
||||
_("Knowledge base id"))),
|
||||
error_messages=ErrMessage.list(_("Knowledge Base List")))
|
||||
"知识库id")),
|
||||
error_messages=ErrMessage.list("知识库列表"))
|
||||
|
||||
def is_valid(self, *, raise_exception=True):
|
||||
super().is_valid(raise_exception=True)
|
||||
|
|
@ -85,13 +82,13 @@ class ModelDatasetAssociation(serializers.Serializer):
|
|||
user_id = self.data.get('user_id')
|
||||
if model_id is not None and len(model_id) > 0:
|
||||
if not QuerySet(Model).filter(id=model_id).exists():
|
||||
raise AppApiException(500, f'{_("Model does not exist")}【{model_id}】')
|
||||
raise AppApiException(500, f'模型不存在【{model_id}】')
|
||||
dataset_id_list = list(set(self.data.get('dataset_id_list')))
|
||||
exist_dataset_id_list = [str(dataset.id) for dataset in
|
||||
QuerySet(DataSet).filter(id__in=dataset_id_list, user_id=user_id)]
|
||||
for dataset_id in dataset_id_list:
|
||||
if not exist_dataset_id_list.__contains__(dataset_id):
|
||||
raise AppApiException(500, f'{_("The knowledge base id does not exist")}【{dataset_id}】')
|
||||
raise AppApiException(500, f'知识库id不存在【{dataset_id}】')
|
||||
|
||||
|
||||
class ApplicationSerializerModel(serializers.ModelSerializer):
|
||||
|
|
@ -108,8 +105,8 @@ class NoReferencesChoices(models.TextChoices):
|
|||
|
||||
class NoReferencesSetting(serializers.Serializer):
|
||||
status = serializers.ChoiceField(required=True, choices=NoReferencesChoices.choices,
|
||||
error_messages=ErrMessage.char(_("No reference status")))
|
||||
value = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
|
||||
error_messages=ErrMessage.char("无引用状态"))
|
||||
value = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
|
||||
|
||||
|
||||
def valid_model_params_setting(model_id, model_params_setting):
|
||||
|
|
@ -121,64 +118,45 @@ def valid_model_params_setting(model_id, model_params_setting):
|
|||
|
||||
|
||||
class DatasetSettingSerializer(serializers.Serializer):
|
||||
top_n = serializers.FloatField(required=True, max_value=10000, min_value=1,
|
||||
error_messages=ErrMessage.float(_("Reference segment number")))
|
||||
top_n = serializers.FloatField(required=True, max_value=100, min_value=1,
|
||||
error_messages=ErrMessage.float("引用分段数"))
|
||||
similarity = serializers.FloatField(required=True, max_value=1, min_value=0,
|
||||
error_messages=ErrMessage.float(_("Acquaintance")))
|
||||
error_messages=ErrMessage.float("相识度"))
|
||||
max_paragraph_char_number = serializers.IntegerField(required=True, min_value=500, max_value=100000,
|
||||
error_messages=ErrMessage.integer(
|
||||
_("Maximum number of quoted characters")))
|
||||
error_messages=ErrMessage.integer("最多引用字符数"))
|
||||
search_mode = serializers.CharField(required=True, validators=[
|
||||
validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
|
||||
message=_("The type only supports embedding|keywords|blend"), code=500)
|
||||
], error_messages=ErrMessage.char(_("Retrieval Mode")))
|
||||
message="类型只支持register|reset_password", code=500)
|
||||
], error_messages=ErrMessage.char("检索模式"))
|
||||
|
||||
no_references_setting = NoReferencesSetting(required=True,
|
||||
error_messages=ErrMessage.base(_("Segment settings not referenced")))
|
||||
no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base("未引用分段设置"))
|
||||
|
||||
|
||||
class ModelSettingSerializer(serializers.Serializer):
|
||||
prompt = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
|
||||
error_messages=ErrMessage.char(_("Prompt word")))
|
||||
error_messages=ErrMessage.char("提示词"))
|
||||
system = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
|
||||
error_messages=ErrMessage.char(_("Role prompts")))
|
||||
error_messages=ErrMessage.char("角色提示词"))
|
||||
no_references_prompt = serializers.CharField(required=True, max_length=102400, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("No citation segmentation prompt")))
|
||||
reasoning_content_enable = serializers.BooleanField(required=False,
|
||||
error_messages=ErrMessage.char(_("Thinking process switch")))
|
||||
reasoning_content_start = serializers.CharField(required=False, allow_null=True, default="<think>",
|
||||
allow_blank=True, max_length=256,
|
||||
trim_whitespace=False,
|
||||
error_messages=ErrMessage.char(
|
||||
_("The thinking process begins to mark")))
|
||||
reasoning_content_end = serializers.CharField(required=False, allow_null=True, allow_blank=True, default="</think>",
|
||||
max_length=256,
|
||||
trim_whitespace=False,
|
||||
error_messages=ErrMessage.char(_("End of thinking process marker")))
|
||||
error_messages=ErrMessage.char("无引用分段提示词"))
|
||||
|
||||
|
||||
class ApplicationWorkflowSerializer(serializers.Serializer):
|
||||
name = serializers.CharField(required=True, max_length=64, min_length=1,
|
||||
error_messages=ErrMessage.char(_("Application Name")))
|
||||
name = serializers.CharField(required=True, max_length=64, min_length=1, error_messages=ErrMessage.char("应用名称"))
|
||||
desc = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
max_length=256, min_length=1,
|
||||
error_messages=ErrMessage.char(_("Application Description")))
|
||||
work_flow = serializers.DictField(required=False, error_messages=ErrMessage.dict(_("Workflow Objects")))
|
||||
prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
|
||||
error_messages=ErrMessage.char(_("Opening remarks")))
|
||||
error_messages=ErrMessage.char("应用描述"))
|
||||
work_flow = serializers.DictField(required=False, error_messages=ErrMessage.dict("工作流对象"))
|
||||
prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
|
||||
error_messages=ErrMessage.char("开场白"))
|
||||
|
||||
@staticmethod
|
||||
def to_application_model(user_id: str, application: Dict):
|
||||
language = get_language()
|
||||
if application.get('work_flow') is not None:
|
||||
default_workflow = application.get('work_flow')
|
||||
else:
|
||||
workflow_file_path = os.path.join(PROJECT_DIR, "apps", "application", 'flow',
|
||||
f'default_workflow_{to_locale(language)}.json')
|
||||
if not os.path.exists(workflow_file_path):
|
||||
workflow_file_path = os.path.join(PROJECT_DIR, "apps", "application", 'flow',
|
||||
f'default_workflow_zh.json')
|
||||
default_workflow_json = get_file_content(workflow_file_path)
|
||||
default_workflow_json = get_file_content(
|
||||
os.path.join(PROJECT_DIR, "apps", "application", 'flow', 'default_workflow.json'))
|
||||
default_workflow = json.loads(default_workflow_json)
|
||||
for node in default_workflow.get('nodes'):
|
||||
if node.get('id') == 'base-node':
|
||||
|
|
@ -216,41 +194,36 @@ def get_base_node_work_flow(work_flow):
|
|||
|
||||
|
||||
class ApplicationSerializer(serializers.Serializer):
|
||||
name = serializers.CharField(required=True, max_length=64, min_length=1,
|
||||
error_messages=ErrMessage.char(_("application name")))
|
||||
name = serializers.CharField(required=True, max_length=64, min_length=1, error_messages=ErrMessage.char("应用名称"))
|
||||
desc = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
max_length=256, min_length=1,
|
||||
error_messages=ErrMessage.char(_("application describe")))
|
||||
error_messages=ErrMessage.char("应用描述"))
|
||||
model_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("Model")))
|
||||
error_messages=ErrMessage.char("模型"))
|
||||
dialogue_number = serializers.IntegerField(required=True,
|
||||
min_value=0,
|
||||
max_value=1024,
|
||||
error_messages=ErrMessage.integer(_("Historical chat records")))
|
||||
prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
|
||||
error_messages=ErrMessage.char(_("Opening remarks")))
|
||||
error_messages=ErrMessage.integer("历史聊天记录"))
|
||||
prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
|
||||
error_messages=ErrMessage.char("开场白"))
|
||||
dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
|
||||
allow_null=True,
|
||||
error_messages=ErrMessage.list(_("Related Knowledge Base")))
|
||||
allow_null=True, error_messages=ErrMessage.list("关联知识库"))
|
||||
# 数据集相关设置
|
||||
dataset_setting = DatasetSettingSerializer(required=True)
|
||||
# 模型相关设置
|
||||
model_setting = ModelSettingSerializer(required=True)
|
||||
# 问题补全
|
||||
problem_optimization = serializers.BooleanField(required=True,
|
||||
error_messages=ErrMessage.boolean(_("Question completion")))
|
||||
problem_optimization = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean("问题补全"))
|
||||
problem_optimization_prompt = serializers.CharField(required=False, max_length=102400,
|
||||
error_messages=ErrMessage.char(_("Question completion prompt")))
|
||||
error_messages=ErrMessage.char("问题补全提示词"))
|
||||
# 应用类型
|
||||
type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Application Type")),
|
||||
type = serializers.CharField(required=True, error_messages=ErrMessage.char("应用类型"),
|
||||
validators=[
|
||||
validators.RegexValidator(regex=re.compile("^SIMPLE|WORK_FLOW$"),
|
||||
message=_(
|
||||
"Application type only supports SIMPLE|WORK_FLOW"),
|
||||
code=500)
|
||||
message="应用类型只支持SIMPLE|WORK_FLOW", code=500)
|
||||
]
|
||||
)
|
||||
model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.dict(_('Model parameters')))
|
||||
model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.dict('模型参数'))
|
||||
|
||||
def is_valid(self, *, user_id=None, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
|
|
@ -258,9 +231,9 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
'dataset_id_list': self.data.get('dataset_id_list')}).is_valid()
|
||||
|
||||
class Embed(serializers.Serializer):
|
||||
host = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Host")))
|
||||
protocol = serializers.CharField(required=True, error_messages=ErrMessage.char(_("protocol")))
|
||||
token = serializers.CharField(required=True, error_messages=ErrMessage.char(_("token")))
|
||||
host = serializers.CharField(required=True, error_messages=ErrMessage.char("主机"))
|
||||
protocol = serializers.CharField(required=True, error_messages=ErrMessage.char("协议"))
|
||||
token = serializers.CharField(required=True, error_messages=ErrMessage.char("token"))
|
||||
|
||||
def get_embed(self, with_valid=True, params=None):
|
||||
if params is None:
|
||||
|
|
@ -295,8 +268,7 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
float_location = application_setting.float_location
|
||||
if application_setting.custom_theme is not None and len(
|
||||
application_setting.custom_theme.get('header_font_color', 'rgb(100, 106, 115)')) > 0:
|
||||
header_font_color = application_setting.custom_theme.get('header_font_color',
|
||||
'rgb(100, 106, 115)')
|
||||
header_font_color = application_setting.custom_theme.get('header_font_color', 'rgb(100, 106, 115)')
|
||||
|
||||
is_auth = 'true' if application_access_token is not None and application_access_token.is_active else 'false'
|
||||
t = Template(content)
|
||||
|
|
@ -334,31 +306,26 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
for field in input_field_list:
|
||||
if field['assignment_method'] == 'api_input' and field['variable'] in params:
|
||||
query += f"&{field['variable']}={params[field['variable']]}"
|
||||
if 'asker' in params:
|
||||
query += f"&asker={params.get('asker')}"
|
||||
|
||||
return query
|
||||
|
||||
class AccessTokenSerializer(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.boolean(_("Application ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.boolean("应用id"))
|
||||
|
||||
class AccessTokenEditSerializer(serializers.Serializer):
|
||||
access_token_reset = serializers.BooleanField(required=False,
|
||||
error_messages=ErrMessage.boolean(_("Reset Token")))
|
||||
is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Is it enabled")))
|
||||
error_messages=ErrMessage.boolean("重置Token"))
|
||||
is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("是否开启"))
|
||||
access_num = serializers.IntegerField(required=False, max_value=10000,
|
||||
min_value=0,
|
||||
error_messages=ErrMessage.integer(_("Number of visits")))
|
||||
white_active = serializers.BooleanField(required=False,
|
||||
error_messages=ErrMessage.boolean(_("Whether to enable whitelist")))
|
||||
error_messages=ErrMessage.integer("访问次数"))
|
||||
white_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("是否开启白名单"))
|
||||
white_list = serializers.ListSerializer(required=False, child=serializers.CharField(required=True,
|
||||
error_messages=ErrMessage.char(
|
||||
_("Whitelist"))),
|
||||
error_messages=ErrMessage.list(_("Whitelist"))),
|
||||
"白名单")),
|
||||
error_messages=ErrMessage.list("白名单列表")),
|
||||
show_source = serializers.BooleanField(required=False,
|
||||
error_messages=ErrMessage.boolean(
|
||||
_("Whether to display knowledge sources")))
|
||||
language = serializers.CharField(required=False, allow_blank=True, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("language")))
|
||||
error_messages=ErrMessage.boolean("是否显示知识来源"))
|
||||
|
||||
def edit(self, instance: Dict, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -381,10 +348,6 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
application_access_token.white_list = instance.get('white_list')
|
||||
if 'show_source' in instance and instance.get('show_source') is not None:
|
||||
application_access_token.show_source = instance.get('show_source')
|
||||
if 'language' in instance and instance.get('language') is not None:
|
||||
application_access_token.language = instance.get('language')
|
||||
if 'language' not in instance or instance.get('language') is None:
|
||||
application_access_token.language = None
|
||||
application_access_token.save()
|
||||
application_setting_model = DBModelManage.get_model('application_setting')
|
||||
xpack_cache = DBModelManage.get_model('xpack_cache')
|
||||
|
|
@ -422,14 +385,13 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
'access_num': application_access_token.access_num,
|
||||
'white_active': application_access_token.white_active,
|
||||
'white_list': application_access_token.white_list,
|
||||
'show_source': application_access_token.show_source,
|
||||
'language': application_access_token.language
|
||||
'show_source': application_access_token.show_source
|
||||
}
|
||||
|
||||
class Authentication(serializers.Serializer):
|
||||
access_token = serializers.CharField(required=True, error_messages=ErrMessage.char(_("access_token")))
|
||||
access_token = serializers.CharField(required=True, error_messages=ErrMessage.char("access_token"))
|
||||
authentication_value = serializers.JSONField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Certification Information")))
|
||||
error_messages=ErrMessage.char("认证信息"))
|
||||
|
||||
def auth(self, request, with_valid=True):
|
||||
token = request.META.get('HTTP_AUTHORIZATION')
|
||||
|
|
@ -466,7 +428,7 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
'authentication': authentication})
|
||||
return token
|
||||
else:
|
||||
raise NotFound404(404, _("Invalid access_token"))
|
||||
raise NotFound404(404, "无效的access_token")
|
||||
|
||||
def auth_authentication_value(self, authentication_value, application_id):
|
||||
application_setting_model = DBModelManage.get_model('application_setting')
|
||||
|
|
@ -477,7 +439,7 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
if application_setting.authentication and authentication_value is not None:
|
||||
if authentication_value.get('type') == 'password':
|
||||
if not self.auth_password(authentication_value, application_setting.authentication_value):
|
||||
raise AppApiException(1005, _("Wrong password"))
|
||||
raise AppApiException(1005, "密码错误")
|
||||
return True
|
||||
|
||||
@staticmethod
|
||||
|
|
@ -486,40 +448,38 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
|
||||
class Edit(serializers.Serializer):
|
||||
name = serializers.CharField(required=False, max_length=64, min_length=1,
|
||||
error_messages=ErrMessage.char(_("Application Name")))
|
||||
error_messages=ErrMessage.char("应用名称"))
|
||||
desc = serializers.CharField(required=False, max_length=256, min_length=1, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("Application Description")))
|
||||
error_messages=ErrMessage.char("应用描述"))
|
||||
model_id = serializers.CharField(required=False, allow_blank=True, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Model")))
|
||||
error_messages=ErrMessage.char("模型"))
|
||||
dialogue_number = serializers.IntegerField(required=False,
|
||||
min_value=0,
|
||||
max_value=1024,
|
||||
error_messages=ErrMessage.integer(_("Historical chat records")))
|
||||
prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
|
||||
error_messages=ErrMessage.char(_("Opening remarks")))
|
||||
error_messages=ErrMessage.integer("历史聊天记录"))
|
||||
prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
|
||||
error_messages=ErrMessage.char("开场白"))
|
||||
dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
|
||||
error_messages=ErrMessage.list(_("Related Knowledge Base"))
|
||||
error_messages=ErrMessage.list("关联知识库")
|
||||
)
|
||||
# 数据集相关设置
|
||||
dataset_setting = DatasetSettingSerializer(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.json(_("Dataset settings")))
|
||||
error_messages=ErrMessage.json("数据集设置"))
|
||||
# 模型相关设置
|
||||
model_setting = ModelSettingSerializer(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.json(_("Model setup")))
|
||||
error_messages=ErrMessage.json("模型设置"))
|
||||
# 问题补全
|
||||
problem_optimization = serializers.BooleanField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.boolean(_("Question completion")))
|
||||
icon = serializers.CharField(required=False, allow_null=True, error_messages=ErrMessage.char(_("Icon")))
|
||||
error_messages=ErrMessage.boolean("问题补全"))
|
||||
icon = serializers.CharField(required=False, allow_null=True, error_messages=ErrMessage.char("icon图标"))
|
||||
|
||||
model_params_setting = serializers.DictField(required=False,
|
||||
error_messages=ErrMessage.dict(_('Model parameters')))
|
||||
model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.dict('模型参数'))
|
||||
|
||||
class Create(serializers.Serializer):
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
@valid_license(model=Application, count=5,
|
||||
message=_(
|
||||
'The community version supports up to 5 applications. If you need more applications, please contact us (https://fit2cloud.com/).'))
|
||||
message='社区版最多支持 5 个应用，如需拥有更多应用，请联系我们（https://fit2cloud.com/）。')
|
||||
@transaction.atomic
|
||||
def insert(self, application: Dict):
|
||||
application_type = application.get('type')
|
||||
|
|
@ -585,22 +545,22 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
return ApplicationDatasetMapping(id=uuid.uuid1(), application_id=application_id, dataset_id=dataset_id)
|
||||
|
||||
class HitTest(serializers.Serializer):
|
||||
id = serializers.CharField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
query_text = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Query text")))
|
||||
top_number = serializers.IntegerField(required=True, max_value=10000, min_value=1,
|
||||
error_messages=ErrMessage.integer(_("topN")))
|
||||
id = serializers.CharField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid("用户id"))
|
||||
query_text = serializers.CharField(required=True, error_messages=ErrMessage.char("查询文本"))
|
||||
top_number = serializers.IntegerField(required=True, max_value=100, min_value=1,
|
||||
error_messages=ErrMessage.integer("topN"))
|
||||
similarity = serializers.FloatField(required=True, max_value=2, min_value=0,
|
||||
error_messages=ErrMessage.float(_("Relevance")))
|
||||
error_messages=ErrMessage.float("相关度"))
|
||||
search_mode = serializers.CharField(required=True, validators=[
|
||||
validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
|
||||
message=_("The type only supports embedding|keywords|blend"), code=500)
|
||||
], error_messages=ErrMessage.char(_("Retrieval Mode")))
|
||||
message="类型只支持register|reset_password", code=500)
|
||||
], error_messages=ErrMessage.char("检索模式"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
if not QuerySet(Application).filter(id=self.data.get('id')).exists():
|
||||
raise AppApiException(500, _('Application id does not exist'))
|
||||
raise AppApiException(500, '不存在的应用id')
|
||||
|
||||
def hit_test(self):
|
||||
self.is_valid()
|
||||
|
|
@ -627,12 +587,12 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
'comprehensive_score': hit_dict.get(p.get('id')).get('comprehensive_score')} for p in p_list]
|
||||
|
||||
class Query(serializers.Serializer):
|
||||
name = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Application Name")))
|
||||
name = serializers.CharField(required=False, error_messages=ErrMessage.char("应用名称"))
|
||||
|
||||
desc = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Application Description")))
|
||||
desc = serializers.CharField(required=False, error_messages=ErrMessage.char("应用描述"))
|
||||
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
select_user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid(_("Select User ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
select_user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid("选择用户id"))
|
||||
|
||||
def get_query_set(self):
|
||||
user_id = self.data.get("user_id")
|
||||
|
|
@ -660,7 +620,8 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
query_set_dict['team_member_permission_custom_sql'] = QuerySet(model=get_dynamics_model(
|
||||
{'user_id': models.CharField(),
|
||||
'team_member_permission.auth_target_type': models.CharField(),
|
||||
'team_member_permission.operate': ArrayField(base_field=models.CharField(max_length=256,
|
||||
'team_member_permission.operate': ArrayField(verbose_name="权限操作列表",
|
||||
base_field=models.CharField(max_length=256,
|
||||
blank=True,
|
||||
choices=AuthOperate.choices,
|
||||
default=AuthOperate.USE)
|
||||
|
|
@ -700,16 +661,16 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
fields = ['id', 'name', 'desc', 'prologue', 'dialogue_number', 'icon', 'type']
|
||||
|
||||
class IconOperate(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
image = UploadedImageField(required=True, error_messages=ErrMessage.image(_("picture")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
image = UploadedImageField(required=True, error_messages=ErrMessage.image("图片"))
|
||||
|
||||
def edit(self, with_valid=True):
|
||||
if with_valid:
|
||||
self.is_valid(raise_exception=True)
|
||||
application = QuerySet(Application).filter(id=self.data.get('application_id')).first()
|
||||
if application is None:
|
||||
raise AppApiException(500, _('Application id does not exist'))
|
||||
raise AppApiException(500, '不存在的应用id')
|
||||
image_id = uuid.uuid1()
|
||||
image = Image(id=image_id, image=self.data.get('image').read(), image_name=self.data.get('image').name)
|
||||
image.save()
|
||||
|
|
@ -721,12 +682,11 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
return {**ApplicationSerializer.Query.reset_application(ApplicationSerializerModel(application).data)}
|
||||
|
||||
class Import(serializers.Serializer):
|
||||
file = UploadedFileField(required=True, error_messages=ErrMessage.image(_("file")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
file = UploadedFileField(required=True, error_messages=ErrMessage.image("文件"))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
@valid_license(model=Application, count=5,
|
||||
message=_(
|
||||
'The community version supports up to 5 applications. If you need more applications, please contact us (https://fit2cloud.com/).'))
|
||||
message='社区版最多支持 5 个应用，如需拥有更多应用，请联系我们（https://fit2cloud.com/）。')
|
||||
@transaction.atomic
|
||||
def import_(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -734,9 +694,9 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
user_id = self.data.get('user_id')
|
||||
mk_instance_bytes = self.data.get('file').read()
|
||||
try:
|
||||
mk_instance = restricted_loads(mk_instance_bytes)
|
||||
mk_instance = pickle.loads(mk_instance_bytes)
|
||||
except Exception as e:
|
||||
raise AppApiException(1001, _("Unsupported file format"))
|
||||
raise AppApiException(1001, "不支持的文件格式")
|
||||
application = mk_instance.application
|
||||
function_lib_list = mk_instance.function_lib_list
|
||||
if len(function_lib_list) > 0:
|
||||
|
|
@ -795,13 +755,13 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
permission_type=PermissionType.PRIVATE)
|
||||
|
||||
class Operate(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
if not QuerySet(Application).filter(id=self.data.get('application_id')).exists():
|
||||
raise AppApiException(500, _('Application id does not exist'))
|
||||
raise AppApiException(500, '不存在的应用id')
|
||||
|
||||
def list_model(self, model_type=None, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -817,10 +777,8 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
if with_valid:
|
||||
self.is_valid(raise_exception=True)
|
||||
application = QuerySet(Application).filter(id=self.data.get("application_id")).first()
|
||||
return FunctionLibSerializer.Query(
|
||||
data={'user_id': application.user_id, 'is_active': True,
|
||||
'function_type': FunctionType.PUBLIC}
|
||||
).list(with_valid=True)
|
||||
return FunctionLibSerializer.Query(data={'user_id': application.user_id, 'is_active': True}).list(
|
||||
with_valid=True)
|
||||
|
||||
def get_function_lib(self, function_lib_id, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -876,7 +834,7 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
application = QuerySet(Application).filter(id=self.data.get("application_id")).first()
|
||||
work_flow = instance.get('work_flow')
|
||||
if work_flow is None:
|
||||
raise AppApiException(500, _("work_flow is a required field"))
|
||||
raise AppApiException(500, "work_flow是必填字段")
|
||||
Flow.new_instance(work_flow).is_valid()
|
||||
base_node = get_base_node_work_flow(work_flow)
|
||||
if base_node is not None:
|
||||
|
|
@ -938,9 +896,7 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
dataset_id_list = node_data.get('dataset_id_list', [])
|
||||
for dataset_id in dataset_id_list:
|
||||
if not user_dataset_id_list.__contains__(dataset_id):
|
||||
message = lazy_format(_('Unknown knowledge base id {dataset_id}, unable to associate'),
|
||||
dataset_id=dataset_id)
|
||||
raise AppApiException(500, message)
|
||||
raise AppApiException(500, f"未知的知识库id${dataset_id},无法关联")
|
||||
|
||||
source_dataset_id_list = node_data.get('source_dataset_id_list', [])
|
||||
source_dataset_id_list = [source_dataset_id for source_dataset_id in source_dataset_id_list if
|
||||
|
|
@ -958,14 +914,8 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
application = QuerySet(Application).get(id=application_id)
|
||||
application_access_token = QuerySet(ApplicationAccessToken).filter(application_id=application.id).first()
|
||||
if application_access_token is None:
|
||||
raise AppUnauthorizedFailed(500, _("Illegal User"))
|
||||
raise AppUnauthorizedFailed(500, "非法用户")
|
||||
application_setting_model = DBModelManage.get_model('application_setting')
|
||||
if application.type == ApplicationTypeChoices.WORK_FLOW:
|
||||
work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=application.id).order_by(
|
||||
'-create_time')[0:1].first()
|
||||
if work_flow_version is not None:
|
||||
application.work_flow = work_flow_version.work_flow
|
||||
|
||||
xpack_cache = DBModelManage.get_model('xpack_cache')
|
||||
X_PACK_LICENSE_IS_VALID = False if xpack_cache is None else xpack_cache.get('XPACK_LICENSE_IS_VALID', False)
|
||||
application_setting_dict = {}
|
||||
|
|
@ -990,7 +940,6 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
'draggable': application_setting.draggable,
|
||||
'show_guide': application_setting.show_guide,
|
||||
'avatar': application_setting.avatar,
|
||||
'show_avatar': application_setting.show_avatar,
|
||||
'float_icon': application_setting.float_icon,
|
||||
'authentication': application_setting.authentication,
|
||||
'authentication_type': application_setting.authentication_value.get(
|
||||
|
|
@ -999,7 +948,6 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
'disclaimer_value': application_setting.disclaimer_value,
|
||||
'custom_theme': application_setting.custom_theme,
|
||||
'user_avatar': application_setting.user_avatar,
|
||||
'show_user_avatar': application_setting.show_user_avatar,
|
||||
'float_location': application_setting.float_location}
|
||||
return ApplicationSerializer.Query.reset_application(
|
||||
{**ApplicationSerializer.ApplicationModel(application).data,
|
||||
|
|
@ -1008,14 +956,10 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
'stt_model_enable': application.stt_model_enable,
|
||||
'tts_model_enable': application.tts_model_enable,
|
||||
'tts_type': application.tts_type,
|
||||
'tts_autoplay': application.tts_autoplay,
|
||||
'stt_autosend': application.stt_autosend,
|
||||
'file_upload_enable': application.file_upload_enable,
|
||||
'file_upload_setting': application.file_upload_setting,
|
||||
'work_flow': {'nodes': [node for node in ((application.work_flow or {}).get('nodes', []) or []) if
|
||||
node.get('id') == 'base-node']},
|
||||
'work_flow': application.work_flow,
|
||||
'show_source': application_access_token.show_source,
|
||||
'language': application_access_token.language,
|
||||
**application_setting_dict})
|
||||
|
||||
@transaction.atomic
|
||||
|
|
@ -1033,30 +977,27 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
model = QuerySet(Model).filter(
|
||||
id=instance.get('model_id')).first()
|
||||
if model is None:
|
||||
raise AppApiException(500, _("Model does not exist"))
|
||||
raise AppApiException(500, "模型不存在")
|
||||
if not model.is_permission(application.user_id):
|
||||
message = lazy_format(_('No permission to use this model:{model_name}'), model_name=model.name)
|
||||
raise AppApiException(500, message)
|
||||
raise AppApiException(500, f"沒有权限使用该模型:{model.name}")
|
||||
if instance.get('stt_model_id') is None or len(instance.get('stt_model_id')) == 0:
|
||||
application.stt_model_id = None
|
||||
else:
|
||||
model = QuerySet(Model).filter(
|
||||
id=instance.get('stt_model_id')).first()
|
||||
if model is None:
|
||||
raise AppApiException(500, _("Model does not exist"))
|
||||
raise AppApiException(500, "模型不存在")
|
||||
if not model.is_permission(application.user_id):
|
||||
message = lazy_format(_('No permission to use this model:{model_name}'), model_name=model.name)
|
||||
raise AppApiException(500, message)
|
||||
raise AppApiException(500, f"沒有权限使用该模型:{model.name}")
|
||||
if instance.get('tts_model_id') is None or len(instance.get('tts_model_id')) == 0:
|
||||
application.tts_model_id = None
|
||||
else:
|
||||
model = QuerySet(Model).filter(
|
||||
id=instance.get('tts_model_id')).first()
|
||||
if model is None:
|
||||
raise AppApiException(500, _("Model does not exist"))
|
||||
raise AppApiException(500, "模型不存在")
|
||||
if not model.is_permission(application.user_id):
|
||||
message = lazy_format(_('No permission to use this model:{model_name}'), model_name=model.name)
|
||||
raise AppApiException(500, message)
|
||||
raise AppApiException(500, f"沒有权限使用该模型:{model.name}")
|
||||
if 'work_flow' in instance:
|
||||
# 当前用户可修改关联的知识库列表
|
||||
application_dataset_id_list = [str(dataset_dict.get('id')) for dataset_dict in
|
||||
|
|
@ -1068,13 +1009,12 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
update_keys = ['name', 'desc', 'model_id', 'multiple_rounds_dialogue', 'prologue', 'status',
|
||||
'dataset_setting', 'model_setting', 'problem_optimization', 'dialogue_number',
|
||||
'stt_model_id', 'tts_model_id', 'tts_model_enable', 'stt_model_enable', 'tts_type',
|
||||
'tts_autoplay', 'stt_autosend', 'file_upload_enable', 'file_upload_setting',
|
||||
'file_upload_enable', 'file_upload_setting',
|
||||
'api_key_is_active', 'icon', 'work_flow', 'model_params_setting', 'tts_model_params_setting',
|
||||
'problem_optimization_prompt', 'clean_time']
|
||||
for update_key in update_keys:
|
||||
if update_key in instance and instance.get(update_key) is not None:
|
||||
application.__setattr__(update_key, instance.get(update_key))
|
||||
print(application.name)
|
||||
application.save()
|
||||
|
||||
if 'dataset_id_list' in instance:
|
||||
|
|
@ -1084,16 +1024,13 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
self.list_dataset(with_valid=False)]
|
||||
for dataset_id in dataset_id_list:
|
||||
if not application_dataset_id_list.__contains__(dataset_id):
|
||||
message = lazy_format(_('Unknown knowledge base id {dataset_id}, unable to associate'),
|
||||
dataset_id=dataset_id)
|
||||
raise AppApiException(500, message)
|
||||
raise AppApiException(500, f"未知的知识库id${dataset_id},无法关联")
|
||||
|
||||
self.save_application_mapping(application_dataset_id_list, dataset_id_list, application_id)
|
||||
if application.type == ApplicationTypeChoices.SIMPLE:
|
||||
chat_cache.clear_by_application_id(application_id)
|
||||
application_access_token = QuerySet(ApplicationAccessToken).filter(application_id=application_id).first()
|
||||
# 更新缓存数据
|
||||
print(application.name)
|
||||
get_application_access_token(application_access_token.access_token, False)
|
||||
return self.one(with_valid=False)
|
||||
|
||||
|
|
@ -1136,18 +1073,12 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
instance['tts_model_enable'] = node_data['tts_model_enable']
|
||||
if 'tts_type' in node_data:
|
||||
instance['tts_type'] = node_data['tts_type']
|
||||
if 'tts_autoplay' in node_data:
|
||||
instance['tts_autoplay'] = node_data['tts_autoplay']
|
||||
if 'stt_autosend' in node_data:
|
||||
instance['stt_autosend'] = node_data['stt_autosend']
|
||||
if 'tts_model_params_setting' in node_data:
|
||||
instance['tts_model_params_setting'] = node_data['tts_model_params_setting']
|
||||
if 'file_upload_enable' in node_data:
|
||||
instance['file_upload_enable'] = node_data['file_upload_enable']
|
||||
if 'file_upload_setting' in node_data:
|
||||
instance['file_upload_setting'] = node_data['file_upload_setting']
|
||||
if 'name' in node_data:
|
||||
instance['name'] = node_data['name']
|
||||
break
|
||||
|
||||
def speech_to_text(self, file, with_valid=True):
|
||||
|
|
@ -1215,25 +1146,9 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
def get_application(self, app_id, with_valid=True):
|
||||
if with_valid:
|
||||
self.is_valid(raise_exception=True)
|
||||
if with_valid:
|
||||
self.is_valid()
|
||||
embed_application = QuerySet(Application).filter(id=app_id).first()
|
||||
if embed_application is None:
|
||||
raise AppApiException(500, _('Application does not exist'))
|
||||
if embed_application.type == ApplicationTypeChoices.WORK_FLOW:
|
||||
work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=embed_application.id).order_by(
|
||||
'-create_time')[0:1].first()
|
||||
if work_flow_version is not None:
|
||||
embed_application.work_flow = work_flow_version.work_flow
|
||||
dataset_list = self.list_dataset(with_valid=False)
|
||||
mapping_dataset_id_list = [adm.dataset_id for adm in
|
||||
QuerySet(ApplicationDatasetMapping).filter(application_id=app_id)]
|
||||
dataset_id_list = [d.get('id') for d in
|
||||
list(filter(lambda row: mapping_dataset_id_list.__contains__(row.get('id')),
|
||||
dataset_list))]
|
||||
self.update_search_node(embed_application.work_flow, [str(dataset.get('id')) for dataset in dataset_list])
|
||||
return {**ApplicationSerializer.Query.reset_application(ApplicationSerializerModel(embed_application).data),
|
||||
'dataset_id_list': dataset_id_list}
|
||||
application = QuerySet(Application).filter(id=self.data.get("application_id")).first()
|
||||
return ApplicationSerializer.Operate(data={'user_id': application.user_id, 'application_id': app_id}).one(
|
||||
with_valid=True)
|
||||
|
||||
class ApplicationKeySerializerModel(serializers.ModelSerializer):
|
||||
class Meta:
|
||||
|
|
@ -1241,16 +1156,16 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
fields = "__all__"
|
||||
|
||||
class ApplicationKeySerializer(serializers.Serializer):
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
application_id = self.data.get("application_id")
|
||||
application = QuerySet(Application).filter(id=application_id).first()
|
||||
if application is None:
|
||||
raise AppApiException(1001, _("Application does not exist"))
|
||||
raise AppApiException(1001, "应用不存在")
|
||||
|
||||
def generate(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -1272,22 +1187,21 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
QuerySet(ApplicationApiKey).filter(application_id=application_id)]
|
||||
|
||||
class Edit(serializers.Serializer):
|
||||
is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Availability")))
|
||||
is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("是否可用"))
|
||||
|
||||
allow_cross_domain = serializers.BooleanField(required=False,
|
||||
error_messages=ErrMessage.boolean(
|
||||
_("Is cross-domain allowed")))
|
||||
error_messages=ErrMessage.boolean("是否允许跨域"))
|
||||
|
||||
cross_domain_list = serializers.ListSerializer(required=False,
|
||||
child=serializers.CharField(required=True,
|
||||
error_messages=ErrMessage.char(
|
||||
_("Cross-domain address"))),
|
||||
error_messages=ErrMessage.char(_("Cross-domain list")))
|
||||
"跨域列表")),
|
||||
error_messages=ErrMessage.char("跨域地址"))
|
||||
|
||||
class Operate(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
|
||||
api_key_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("ApiKeyid")))
|
||||
api_key_id = serializers.CharField(required=True, error_messages=ErrMessage.char("ApiKeyid"))
|
||||
|
||||
def delete(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -1308,7 +1222,7 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
application_api_key = QuerySet(ApplicationApiKey).filter(id=api_key_id,
|
||||
application_id=application_id).first()
|
||||
if application_api_key is None:
|
||||
raise AppApiException(500, _('APIKey does not exist'))
|
||||
raise AppApiException(500, '不存在')
|
||||
if 'is_active' in instance and instance.get('is_active') is not None:
|
||||
application_api_key.is_active = instance.get('is_active')
|
||||
if 'allow_cross_domain' in instance and instance.get('allow_cross_domain') is not None:
|
||||
|
|
@ -1318,29 +1232,3 @@ class ApplicationSerializer(serializers.Serializer):
|
|||
application_api_key.save()
|
||||
# 写入缓存
|
||||
get_application_api_key(application_api_key.secret_key, False)
|
||||
|
||||
class McpServers(serializers.Serializer):
|
||||
mcp_servers = serializers.JSONField(required=True)
|
||||
|
||||
def get_mcp_servers(self, with_valid=True):
|
||||
if with_valid:
|
||||
self.is_valid(raise_exception=True)
|
||||
if '"stdio"' in self.data.get('mcp_servers'):
|
||||
raise AppApiException(500, _('stdio is not supported'))
|
||||
servers = json.loads(self.data.get('mcp_servers'))
|
||||
|
||||
async def get_mcp_tools(servers):
|
||||
async with MultiServerMCPClient(servers) as client:
|
||||
return client.get_tools()
|
||||
|
||||
tools = []
|
||||
for server in servers:
|
||||
tools += [
|
||||
{
|
||||
'server': server,
|
||||
'name': tool.name,
|
||||
'description': tool.description,
|
||||
'args_schema': tool.args_schema,
|
||||
}
|
||||
for tool in asyncio.run(get_mcp_tools({server: servers[server]}))]
|
||||
return tools
|
||||
|
|
|
|||
|
|
@ -19,13 +19,12 @@ from common.db.search import native_search, get_dynamics_model
|
|||
from common.util.field_message import ErrMessage
|
||||
from common.util.file_util import get_file_content
|
||||
from smartdoc.conf import PROJECT_DIR
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ApplicationStatisticsSerializer(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char(_("Application ID")))
|
||||
start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("Start time")))
|
||||
end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("End time")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char("应用id"))
|
||||
start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("开始时间"))
|
||||
end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("结束时间"))
|
||||
|
||||
def get_end_time(self):
|
||||
return datetime.datetime.combine(
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@
|
|||
from typing import Dict
|
||||
|
||||
from django.db.models import QuerySet
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from rest_framework import serializers
|
||||
|
||||
from application.models import WorkFlowVersion
|
||||
|
|
@ -27,14 +26,14 @@ class ApplicationVersionModelSerializer(serializers.ModelSerializer):
|
|||
|
||||
class ApplicationVersionEditSerializer(serializers.Serializer):
|
||||
name = serializers.CharField(required=False, max_length=128, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("Version Name")))
|
||||
error_messages=ErrMessage.char("版本名称"))
|
||||
|
||||
|
||||
class ApplicationVersionSerializer(serializers.Serializer):
|
||||
class Query(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char(_("Application ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char("应用id"))
|
||||
name = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("summary")))
|
||||
error_messages=ErrMessage.char("摘要"))
|
||||
|
||||
def get_query_set(self):
|
||||
query_set = QuerySet(WorkFlowVersion).filter(application_id=self.data.get('application_id'))
|
||||
|
|
@ -56,9 +55,8 @@ class ApplicationVersionSerializer(serializers.Serializer):
|
|||
post_records_handler=lambda v: ApplicationVersionModelSerializer(v).data)
|
||||
|
||||
class Operate(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char(_("Application ID")))
|
||||
work_flow_version_id = serializers.UUIDField(required=True,
|
||||
error_messages=ErrMessage.uuid(_("Workflow version id")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char("应用id"))
|
||||
work_flow_version_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("工作流版本id"))
|
||||
|
||||
def one(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -68,7 +66,7 @@ class ApplicationVersionSerializer(serializers.Serializer):
|
|||
if work_flow_version is not None:
|
||||
return ApplicationVersionModelSerializer(work_flow_version).data
|
||||
else:
|
||||
raise AppApiException(500, _('Workflow version does not exist'))
|
||||
raise AppApiException(500, '不存在的工作流版本')
|
||||
|
||||
def edit(self, instance: Dict, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -83,4 +81,4 @@ class ApplicationVersionSerializer(serializers.Serializer):
|
|||
work_flow_version.save()
|
||||
return ApplicationVersionModelSerializer(work_flow_version).data
|
||||
else:
|
||||
raise AppApiException(500, _('Workflow version does not exist'))
|
||||
raise AppApiException(500, '不存在的工作流版本')
|
||||
|
|
|
|||
|
|
@ -22,7 +22,6 @@ from application.chat_pipeline.step.generate_human_message_step.impl.base_genera
|
|||
BaseGenerateHumanMessageStep
|
||||
from application.chat_pipeline.step.reset_problem_step.impl.base_reset_problem_step import BaseResetProblemStep
|
||||
from application.chat_pipeline.step.search_dataset_step.impl.base_search_dataset_step import BaseSearchDatasetStep
|
||||
from application.flow.common import Answer
|
||||
from application.flow.i_step_node import WorkFlowPostHandler
|
||||
from application.flow.workflow_manage import WorkflowManage, Flow
|
||||
from application.models import ChatRecord, Chat, Application, ApplicationDatasetMapping, ApplicationTypeChoices, \
|
||||
|
|
@ -38,7 +37,6 @@ from common.util.split_model import flat_map
|
|||
from dataset.models import Paragraph, Document
|
||||
from setting.models import Model, Status
|
||||
from setting.models_provider import get_model_credential
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
chat_cache = caches['chat_cache']
|
||||
|
||||
|
|
@ -95,8 +93,7 @@ class ChatInfo:
|
|||
'chat_id': self.chat_id,
|
||||
'dialogue_number': self.application.dialogue_number,
|
||||
'problem_optimization_prompt': self.application.problem_optimization_prompt if self.application.problem_optimization_prompt is not None and len(
|
||||
self.application.problem_optimization_prompt) > 0 else _(
|
||||
"() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag"),
|
||||
self.application.problem_optimization_prompt) > 0 else '()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中',
|
||||
'prompt': model_setting.get(
|
||||
'prompt') if 'prompt' in model_setting and len(model_setting.get(
|
||||
'prompt')) > 0 else Application.get_default_model_prompt(),
|
||||
|
|
@ -105,7 +102,6 @@ class ChatInfo:
|
|||
'model_id': model_id,
|
||||
'problem_optimization': self.application.problem_optimization,
|
||||
'stream': True,
|
||||
'model_setting': model_setting,
|
||||
'model_params_setting': model_params_setting if self.application.model_params_setting is None or len(
|
||||
self.application.model_params_setting.keys()) == 0 else self.application.model_params_setting,
|
||||
'search_mode': self.application.dataset_setting.get(
|
||||
|
|
@ -116,15 +112,13 @@ class ChatInfo:
|
|||
}
|
||||
|
||||
def to_pipeline_manage_params(self, problem_text: str, post_response_handler: PostResponseHandler,
|
||||
exclude_paragraph_id_list, client_id: str, client_type, stream=True, form_data=None):
|
||||
if form_data is None:
|
||||
form_data = {}
|
||||
exclude_paragraph_id_list, client_id: str, client_type, stream=True):
|
||||
params = self.to_base_pipeline_manage_params()
|
||||
return {**params, 'problem_text': problem_text, 'post_response_handler': post_response_handler,
|
||||
'exclude_paragraph_id_list': exclude_paragraph_id_list, 'stream': stream, 'client_id': client_id,
|
||||
'client_type': client_type, 'form_data': form_data}
|
||||
'client_type': client_type}
|
||||
|
||||
def append_chat_record(self, chat_record: ChatRecord, client_id=None, asker=None):
|
||||
def append_chat_record(self, chat_record: ChatRecord, client_id=None):
|
||||
chat_record.problem_text = chat_record.problem_text[0:10240] if chat_record.problem_text is not None else ""
|
||||
chat_record.answer_text = chat_record.answer_text[0:40960] if chat_record.problem_text is not None else ""
|
||||
is_save = True
|
||||
|
|
@ -139,17 +133,8 @@ class ChatInfo:
|
|||
if self.application.id is not None:
|
||||
# 插入数据库
|
||||
if not QuerySet(Chat).filter(id=self.chat_id).exists():
|
||||
asker_dict = {'user_name': '游客'}
|
||||
if asker is not None:
|
||||
if isinstance(asker, str):
|
||||
asker_dict = {
|
||||
'user_name': asker
|
||||
}
|
||||
elif isinstance(asker, dict):
|
||||
asker_dict = asker
|
||||
|
||||
Chat(id=self.chat_id, application_id=self.application.id, abstract=chat_record.problem_text[0:1024],
|
||||
client_id=client_id, asker=asker_dict, update_time=datetime.now()).save()
|
||||
client_id=client_id, update_time=datetime.now()).save()
|
||||
else:
|
||||
Chat.objects.filter(id=self.chat_id).update(update_time=datetime.now())
|
||||
# 插入会话记录
|
||||
|
|
@ -170,8 +155,6 @@ def get_post_handler(chat_info: ChatInfo):
|
|||
padding_problem_text: str = None,
|
||||
client_id=None,
|
||||
**kwargs):
|
||||
answer_list = [[Answer(answer_text, 'ai-chat-node', 'ai-chat-node', 'ai-chat-node', {}, 'ai-chat-node',
|
||||
kwargs.get('reasoning_content', '')).to_dict()]]
|
||||
chat_record = ChatRecord(id=chat_record_id,
|
||||
chat_id=chat_id,
|
||||
problem_text=problem_text,
|
||||
|
|
@ -179,11 +162,10 @@ def get_post_handler(chat_info: ChatInfo):
|
|||
details=manage.get_details(),
|
||||
message_tokens=manage.context['message_tokens'],
|
||||
answer_tokens=manage.context['answer_tokens'],
|
||||
answer_text_list=answer_list,
|
||||
answer_text_list=[answer_text],
|
||||
run_time=manage.context['run_time'],
|
||||
index=len(chat_info.chat_record_list) + 1)
|
||||
asker = kwargs.get("asker", None)
|
||||
chat_info.append_chat_record(chat_record, client_id, asker=asker)
|
||||
chat_info.append_chat_record(chat_record, client_id)
|
||||
# 重新设置缓存
|
||||
chat_cache.set(chat_id,
|
||||
chat_info, timeout=60 * 30)
|
||||
|
|
@ -192,42 +174,33 @@ def get_post_handler(chat_info: ChatInfo):
|
|||
|
||||
|
||||
class OpenAIMessage(serializers.Serializer):
|
||||
content = serializers.CharField(required=True, error_messages=ErrMessage.char(_('content')))
|
||||
role = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Role')))
|
||||
content = serializers.CharField(required=True, error_messages=ErrMessage.char('内容'))
|
||||
role = serializers.CharField(required=True, error_messages=ErrMessage.char('角色'))
|
||||
|
||||
|
||||
class OpenAIInstanceSerializer(serializers.Serializer):
|
||||
messages = serializers.ListField(child=OpenAIMessage())
|
||||
chat_id = serializers.UUIDField(required=False, error_messages=ErrMessage.char(_("Conversation ID")))
|
||||
re_chat = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Regenerate")))
|
||||
stream = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Streaming Output")))
|
||||
chat_id = serializers.UUIDField(required=False, error_messages=ErrMessage.char("对话id"))
|
||||
re_chat = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("重新生成"))
|
||||
stream = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("流式输出"))
|
||||
|
||||
|
||||
class OpenAIChatSerializer(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
client_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client id")))
|
||||
client_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client Type")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
client_id = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端id"))
|
||||
client_type = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端类型"))
|
||||
|
||||
@staticmethod
|
||||
def get_message(instance):
|
||||
return instance.get('messages')[-1].get('content')
|
||||
|
||||
@staticmethod
|
||||
def generate_chat(chat_id, application_id, message, client_id, asker=None):
|
||||
def generate_chat(chat_id, application_id, message, client_id):
|
||||
if chat_id is None:
|
||||
chat_id = str(uuid.uuid1())
|
||||
chat = QuerySet(Chat).filter(id=chat_id).first()
|
||||
if chat is None:
|
||||
asker_dict = {'user_name': '游客'}
|
||||
if asker is not None:
|
||||
if isinstance(asker, str):
|
||||
asker_dict = {
|
||||
'user_name': asker
|
||||
}
|
||||
elif isinstance(asker, dict):
|
||||
asker_dict = asker
|
||||
Chat(id=chat_id, application_id=application_id, abstract=message[0:1024], client_id=client_id,
|
||||
asker=asker_dict).save()
|
||||
Chat(id=chat_id, application_id=application_id, abstract=message[0:1024], client_id=client_id).save()
|
||||
return chat_id
|
||||
|
||||
def chat(self, instance: Dict, with_valid=True):
|
||||
|
|
@ -241,53 +214,40 @@ class OpenAIChatSerializer(serializers.Serializer):
|
|||
application_id = self.data.get('application_id')
|
||||
client_id = self.data.get('client_id')
|
||||
client_type = self.data.get('client_type')
|
||||
chat_id = self.generate_chat(chat_id, application_id, message, client_id,
|
||||
asker=instance.get('form_data', {}).get("asker"))
|
||||
chat_id = self.generate_chat(chat_id, application_id, message, client_id)
|
||||
return ChatMessageSerializer(
|
||||
data={
|
||||
'chat_id': chat_id, 'message': message,
|
||||
're_chat': re_chat,
|
||||
'stream': stream,
|
||||
'application_id': application_id,
|
||||
'client_id': client_id,
|
||||
'client_type': client_type,
|
||||
'form_data': instance.get('form_data', {}),
|
||||
'image_list': instance.get('image_list', []),
|
||||
'document_list': instance.get('document_list', []),
|
||||
'audio_list': instance.get('audio_list', []),
|
||||
'other_list': instance.get('other_list', []),
|
||||
}
|
||||
).chat(base_to_response=OpenaiToResponse())
|
||||
data={'chat_id': chat_id, 'message': message,
|
||||
're_chat': re_chat,
|
||||
'stream': stream,
|
||||
'application_id': application_id,
|
||||
'client_id': client_id,
|
||||
'client_type': client_type, 'form_data': instance.get('form_data', {})}).chat(
|
||||
base_to_response=OpenaiToResponse())
|
||||
|
||||
|
||||
class ChatMessageSerializer(serializers.Serializer):
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
message = serializers.CharField(required=True, error_messages=ErrMessage.char(_("User Questions")))
|
||||
stream = serializers.BooleanField(required=True,
|
||||
error_messages=ErrMessage.char(_("Is the answer in streaming mode")))
|
||||
re_chat = serializers.BooleanField(required=True, error_messages=ErrMessage.char(_("Do you want to reply again")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
message = serializers.CharField(required=True, error_messages=ErrMessage.char("用户问题"))
|
||||
stream = serializers.BooleanField(required=True, error_messages=ErrMessage.char("是否流式回答"))
|
||||
re_chat = serializers.BooleanField(required=True, error_messages=ErrMessage.char("是否重新回答"))
|
||||
chat_record_id = serializers.UUIDField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.uuid(_("Conversation record id")))
|
||||
error_messages=ErrMessage.uuid("对话记录id"))
|
||||
|
||||
node_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("Node id")))
|
||||
error_messages=ErrMessage.char("节点id"))
|
||||
|
||||
runtime_node_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("Runtime node id")))
|
||||
error_messages=ErrMessage.char("运行时节点id"))
|
||||
|
||||
node_data = serializers.DictField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.char(_("Node parameters")))
|
||||
application_id = serializers.UUIDField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
client_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client id")))
|
||||
client_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client Type")))
|
||||
form_data = serializers.DictField(required=False, error_messages=ErrMessage.char(_("Global variables")))
|
||||
image_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("picture")))
|
||||
document_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("document")))
|
||||
audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Audio")))
|
||||
other_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Other")))
|
||||
child_node = serializers.DictField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.dict(_("Child Nodes")))
|
||||
node_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.char("节点参数"))
|
||||
application_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
client_id = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端id"))
|
||||
client_type = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端类型"))
|
||||
form_data = serializers.DictField(required=False, error_messages=ErrMessage.char("全局变量"))
|
||||
image_list = serializers.ListField(required=False, error_messages=ErrMessage.list("图片"))
|
||||
document_list = serializers.ListField(required=False, error_messages=ErrMessage.list("文档"))
|
||||
audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list("音频"))
|
||||
child_node = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("子节点"))
|
||||
|
||||
def is_valid_application_workflow(self, *, raise_exception=False):
|
||||
self.is_valid_intraday_access_num()
|
||||
|
|
@ -295,7 +255,7 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
def is_valid_chat_id(self, chat_info: ChatInfo):
|
||||
if self.data.get('application_id') is not None and self.data.get('application_id') != str(
|
||||
chat_info.application.id):
|
||||
raise ChatException(500, _("Conversation does not exist"))
|
||||
raise ChatException(500, "会话不存在")
|
||||
|
||||
def is_valid_intraday_access_num(self):
|
||||
if self.data.get('client_type') == AuthenticationType.APPLICATION_ACCESS_TOKEN.value:
|
||||
|
|
@ -312,7 +272,7 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
application_access_token = QuerySet(ApplicationAccessToken).filter(
|
||||
application_id=self.data.get('application_id')).first()
|
||||
if application_access_token.access_num <= access_client.intraday_access_num:
|
||||
raise AppChatNumOutOfBoundsFailed(1002, _("The number of visits exceeds today's visits"))
|
||||
raise AppChatNumOutOfBoundsFailed(1002, "访问次数超过今日访问量")
|
||||
|
||||
def is_valid_application_simple(self, *, chat_info: ChatInfo, raise_exception=False):
|
||||
self.is_valid_intraday_access_num()
|
||||
|
|
@ -323,9 +283,9 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
if model is None:
|
||||
return chat_info
|
||||
if model.status == Status.ERROR:
|
||||
raise ChatException(500, _("The current model is not available"))
|
||||
raise ChatException(500, "当前模型不可用")
|
||||
if model.status == Status.DOWNLOAD:
|
||||
raise ChatException(500, _("The model is downloading, please try again later"))
|
||||
raise ChatException(500, "模型正在下载中,请稍后再发起对话")
|
||||
return chat_info
|
||||
|
||||
def chat_simple(self, chat_info: ChatInfo, base_to_response):
|
||||
|
|
@ -334,7 +294,6 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
stream = self.data.get('stream')
|
||||
client_id = self.data.get('client_id')
|
||||
client_type = self.data.get('client_type')
|
||||
form_data = self.data.get("form_data")
|
||||
pipeline_manage_builder = PipelineManage.builder()
|
||||
# 如果开启了问题优化,则添加上问题优化步骤
|
||||
if chat_info.application.problem_optimization:
|
||||
|
|
@ -356,7 +315,7 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
exclude_paragraph_id_list = list(set(paragraph_id_list))
|
||||
# 构建运行参数
|
||||
params = chat_info.to_pipeline_manage_params(message, get_post_handler(chat_info), exclude_paragraph_id_list,
|
||||
client_id, client_type, stream, form_data)
|
||||
client_id, client_type, stream)
|
||||
# 运行流水线作业
|
||||
pipeline_message.run(params)
|
||||
return pipeline_message.context['chat_result']
|
||||
|
|
@ -370,7 +329,7 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
return chat_record_list[-1]
|
||||
chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_info.chat_id).first()
|
||||
if chat_record is None:
|
||||
raise ChatException(500, _("Conversation record does not exist"))
|
||||
raise ChatException(500, "对话纪要不存在")
|
||||
chat_record = QuerySet(ChatRecord).filter(id=chat_record_id).first()
|
||||
return chat_record
|
||||
|
||||
|
|
@ -384,7 +343,6 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
image_list = self.data.get('image_list')
|
||||
document_list = self.data.get('document_list')
|
||||
audio_list = self.data.get('audio_list')
|
||||
other_list = self.data.get('other_list')
|
||||
user_id = chat_info.application.user_id
|
||||
chat_record_id = self.data.get('chat_record_id')
|
||||
chat_record = None
|
||||
|
|
@ -401,7 +359,7 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
'client_id': client_id,
|
||||
'client_type': client_type,
|
||||
'user_id': user_id}, WorkFlowPostHandler(chat_info, client_id, client_type),
|
||||
base_to_response, form_data, image_list, document_list, audio_list, other_list,
|
||||
base_to_response, form_data, image_list, document_list, audio_list,
|
||||
self.data.get('runtime_node_id'),
|
||||
self.data.get('node_data'), chat_record, self.data.get('child_node'))
|
||||
r = work_flow_manage.run()
|
||||
|
|
@ -431,10 +389,10 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
def re_open_chat(self, chat_id: str):
|
||||
chat = QuerySet(Chat).filter(id=chat_id).first()
|
||||
if chat is None:
|
||||
raise ChatException(500, _("Conversation does not exist"))
|
||||
raise ChatException(500, "会话不存在")
|
||||
application = QuerySet(Application).filter(id=chat.application_id).first()
|
||||
if application is None:
|
||||
raise ChatException(500, _("Application does not exist"))
|
||||
raise ChatException(500, "应用不存在")
|
||||
if application.type == ApplicationTypeChoices.SIMPLE:
|
||||
return self.re_open_chat_simple(chat_id, application)
|
||||
else:
|
||||
|
|
@ -464,7 +422,7 @@ class ChatMessageSerializer(serializers.Serializer):
|
|||
work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=application.id).order_by(
|
||||
'-create_time')[0:1].first()
|
||||
if work_flow_version is None:
|
||||
raise ChatException(500, _("The application has not been published. Please use it after publishing."))
|
||||
raise ChatException(500, "应用未发布,请发布后再使用")
|
||||
|
||||
chat_info = ChatInfo(chat_id, [], [], application, work_flow_version)
|
||||
chat_record_list = list(QuerySet(ChatRecord).filter(chat_id=chat_id).order_by('-create_time')[0:5])
|
||||
|
|
|
|||
|
|
@ -13,17 +13,15 @@ import uuid
|
|||
from functools import reduce
|
||||
from io import BytesIO
|
||||
from typing import Dict
|
||||
import pytz
|
||||
|
||||
import openpyxl
|
||||
from django.core import validators
|
||||
from django.core.cache import caches
|
||||
from django.db import transaction, models
|
||||
from django.db.models import QuerySet, Q
|
||||
from django.http import StreamingHttpResponse
|
||||
from django.utils.translation import gettext_lazy as _, gettext
|
||||
from openpyxl.cell.cell import ILLEGAL_CHARACTERS_RE
|
||||
from rest_framework import serializers
|
||||
from rest_framework.utils.formatting import lazy_format
|
||||
|
||||
from application.flow.workflow_manage import Flow
|
||||
from application.models import Chat, Application, ApplicationDatasetMapping, VoteChoices, ChatRecord, WorkFlowVersion, \
|
||||
|
|
@ -46,14 +44,13 @@ from embedding.task import embedding_by_paragraph, embedding_by_paragraph_list
|
|||
from setting.models import Model
|
||||
from setting.models_provider import get_model_credential
|
||||
from smartdoc.conf import PROJECT_DIR
|
||||
from smartdoc.settings import TIME_ZONE
|
||||
|
||||
chat_cache = caches['chat_cache']
|
||||
|
||||
|
||||
class WorkFlowSerializers(serializers.Serializer):
|
||||
nodes = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid(_("node")))
|
||||
edges = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid(_("Connection")))
|
||||
nodes = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid("节点"))
|
||||
edges = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid("连线"))
|
||||
|
||||
|
||||
def valid_model_params_setting(model_id, model_params_setting):
|
||||
|
|
@ -67,14 +64,10 @@ def valid_model_params_setting(model_id, model_params_setting):
|
|||
credential.get_model_params_setting_form(model.model_name).valid_form(model_params_setting)
|
||||
|
||||
|
||||
class ReAbstractInstanceSerializers(serializers.Serializer):
|
||||
abstract = serializers.CharField(required=True, error_messages=ErrMessage.char(_("abstract")))
|
||||
|
||||
|
||||
class ChatSerializers(serializers.Serializer):
|
||||
class Operate(serializers.Serializer):
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
|
||||
def logic_delete(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -83,15 +76,6 @@ class ChatSerializers(serializers.Serializer):
|
|||
is_deleted=True)
|
||||
return True
|
||||
|
||||
def re_abstract(self, instance, with_valid=True):
|
||||
if with_valid:
|
||||
self.is_valid(raise_exception=True)
|
||||
ReAbstractInstanceSerializers(data=instance).is_valid(raise_exception=True)
|
||||
|
||||
QuerySet(Chat).filter(id=self.data.get('chat_id'), application_id=self.data.get('application_id')).update(
|
||||
abstract=instance.get('abstract'))
|
||||
return True
|
||||
|
||||
def delete(self, with_valid=True):
|
||||
if with_valid:
|
||||
self.is_valid(raise_exception=True)
|
||||
|
|
@ -99,8 +83,8 @@ class ChatSerializers(serializers.Serializer):
|
|||
return True
|
||||
|
||||
class ClientChatHistory(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
client_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Client id")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
client_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("客户端id"))
|
||||
|
||||
def page(self, current_page: int, page_size: int, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -112,18 +96,18 @@ class ChatSerializers(serializers.Serializer):
|
|||
return page_search(current_page, page_size, queryset, lambda row: ChatSerializerModel(row).data)
|
||||
|
||||
class Query(serializers.Serializer):
|
||||
abstract = serializers.CharField(required=False, error_messages=ErrMessage.char(_("summary")))
|
||||
start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("Start time")))
|
||||
end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("End time")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
abstract = serializers.CharField(required=False, error_messages=ErrMessage.char("摘要"))
|
||||
start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("开始时间"))
|
||||
end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("结束时间"))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
min_star = serializers.IntegerField(required=False, min_value=0,
|
||||
error_messages=ErrMessage.integer(_("Minimum number of likes")))
|
||||
error_messages=ErrMessage.integer("最小点赞数"))
|
||||
min_trample = serializers.IntegerField(required=False, min_value=0,
|
||||
error_messages=ErrMessage.integer(_("Minimum number of clicks")))
|
||||
comparer = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Comparator")), validators=[
|
||||
error_messages=ErrMessage.integer("最小点踩数"))
|
||||
comparer = serializers.CharField(required=False, error_messages=ErrMessage.char("比较器"), validators=[
|
||||
validators.RegexValidator(regex=re.compile("^and|or$"),
|
||||
message=_("Only supports and|or"), code=500)
|
||||
message="只支持and|or", code=500)
|
||||
])
|
||||
|
||||
def get_end_time(self):
|
||||
|
|
@ -174,14 +158,7 @@ class ChatSerializers(serializers.Serializer):
|
|||
condition = base_condition & min_trample_query
|
||||
else:
|
||||
condition = base_condition
|
||||
inner_queryset = QuerySet(Chat).filter(application_id=self.data.get("application_id"))
|
||||
if 'abstract' in self.data and self.data.get('abstract') is not None:
|
||||
inner_queryset = inner_queryset.filter(abstract__icontains=self.data.get('abstract'))
|
||||
|
||||
return {
|
||||
'inner_queryset': inner_queryset,
|
||||
'default_queryset': query_set.filter(condition).order_by("-application_chat.update_time")
|
||||
}
|
||||
return query_set.filter(condition).order_by("-application_chat.update_time")
|
||||
|
||||
def list(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -216,6 +193,7 @@ class ChatSerializers(serializers.Serializer):
|
|||
[])) for
|
||||
key, node in search_dataset_node_list])
|
||||
improve_paragraph_list = row.get('improve_paragraph_list')
|
||||
|
||||
vote_status_map = {'-1': '未投票', '0': '赞同', '1': '反对'}
|
||||
return [str(row.get('chat_id')), row.get('abstract'), row.get('problem_text'), padding_problem_text,
|
||||
row.get('answer_text'), vote_status_map.get(row.get('vote_status')), reference_paragraph_len,
|
||||
|
|
@ -223,9 +201,8 @@ class ChatSerializers(serializers.Serializer):
|
|||
"\n".join([
|
||||
f"{improve_paragraph_list[index].get('title')}\n{improve_paragraph_list[index].get('content')}"
|
||||
for index in range(len(improve_paragraph_list))]),
|
||||
row.get('asker').get('user_name'),
|
||||
row.get('message_tokens') + row.get('answer_tokens'), row.get('run_time'),
|
||||
str(row.get('create_time').astimezone(pytz.timezone(TIME_ZONE)).strftime('%Y-%m-%d %H:%M:%S')
|
||||
str(row.get('create_time').strftime('%Y-%m-%d %H:%M:%S')
|
||||
)]
|
||||
|
||||
def export(self, data, with_valid=True):
|
||||
|
|
@ -245,14 +222,9 @@ class ChatSerializers(serializers.Serializer):
|
|||
worksheet = workbook.active
|
||||
worksheet.title = 'Sheet1'
|
||||
|
||||
headers = [gettext('Conversation ID'), gettext('summary'), gettext('User Questions'),
|
||||
gettext('Problem after optimization'),
|
||||
gettext('answer'), gettext('User feedback'),
|
||||
gettext('Reference segment number'),
|
||||
gettext('Section title + content'),
|
||||
gettext('Annotation'), gettext('USER'), gettext('Consuming tokens'),
|
||||
gettext('Time consumed (s)'),
|
||||
gettext('Question Time')]
|
||||
headers = ['会话ID', '摘要', '用户问题', '优化后问题', '回答', '用户反馈', '引用分段数',
|
||||
'分段标题+内容',
|
||||
'标注', '消耗tokens', '耗时（s）', '提问时间']
|
||||
for col_idx, header in enumerate(headers, 1):
|
||||
cell = worksheet.cell(row=1, column=col_idx)
|
||||
cell.value = header
|
||||
|
|
@ -265,10 +237,6 @@ class ChatSerializers(serializers.Serializer):
|
|||
cell = worksheet.cell(row=row_idx, column=col_idx)
|
||||
if isinstance(value, str):
|
||||
value = re.sub(ILLEGAL_CHARACTERS_RE, '', value)
|
||||
if isinstance(value, datetime.datetime):
|
||||
eastern = pytz.timezone(TIME_ZONE)
|
||||
c = datetime.timezone(eastern._utcoffset)
|
||||
value = value.astimezone(c)
|
||||
cell.value = value
|
||||
|
||||
output = BytesIO()
|
||||
|
|
@ -291,16 +259,16 @@ class ChatSerializers(serializers.Serializer):
|
|||
with_table_name=False)
|
||||
|
||||
class OpenChat(serializers.Serializer):
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
user_id = self.data.get('user_id')
|
||||
application_id = self.data.get('application_id')
|
||||
if not QuerySet(Application).filter(id=application_id, user_id=user_id).exists():
|
||||
raise AppApiException(500, gettext('Application does not exist'))
|
||||
raise AppApiException(500, '应用不存在')
|
||||
|
||||
def open(self):
|
||||
self.is_valid(raise_exception=True)
|
||||
|
|
@ -318,9 +286,7 @@ class ChatSerializers(serializers.Serializer):
|
|||
work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=application_id).order_by(
|
||||
'-create_time')[0:1].first()
|
||||
if work_flow_version is None:
|
||||
raise AppApiException(500,
|
||||
gettext(
|
||||
"The application has not been published. Please use it after publishing."))
|
||||
raise AppApiException(500, "应用未发布,请发布后再使用")
|
||||
chat_cache.set(chat_id,
|
||||
ChatInfo(chat_id, [],
|
||||
[],
|
||||
|
|
@ -343,8 +309,8 @@ class ChatSerializers(serializers.Serializer):
|
|||
return chat_id
|
||||
|
||||
class OpenWorkFlowChat(serializers.Serializer):
|
||||
work_flow = WorkFlowSerializers(error_messages=ErrMessage.uuid(_("Workflow")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
work_flow = WorkFlowSerializers(error_messages=ErrMessage.uuid("工作流"))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
def open(self):
|
||||
self.is_valid(raise_exception=True)
|
||||
|
|
@ -366,29 +332,26 @@ class ChatSerializers(serializers.Serializer):
|
|||
return chat_id
|
||||
|
||||
class OpenTempChat(serializers.Serializer):
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
|
||||
user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
|
||||
|
||||
id = serializers.UUIDField(required=False, allow_null=True,
|
||||
error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
error_messages=ErrMessage.uuid("应用id"))
|
||||
model_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.uuid(_("Model id")))
|
||||
error_messages=ErrMessage.uuid("模型id"))
|
||||
|
||||
multiple_rounds_dialogue = serializers.BooleanField(required=True,
|
||||
error_messages=ErrMessage.boolean(
|
||||
_("Multi-round conversation")))
|
||||
error_messages=ErrMessage.boolean("多轮会话"))
|
||||
|
||||
dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
|
||||
error_messages=ErrMessage.list(_("Related Datasets")))
|
||||
error_messages=ErrMessage.list("关联数据集"))
|
||||
# 数据集相关设置
|
||||
dataset_setting = DatasetSettingSerializer(required=True)
|
||||
# 模型相关设置
|
||||
model_setting = ModelSettingSerializer(required=True)
|
||||
# 问题补全
|
||||
problem_optimization = serializers.BooleanField(required=True,
|
||||
error_messages=ErrMessage.boolean(_("Question completion")))
|
||||
problem_optimization = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean("问题补全"))
|
||||
# 模型相关设置
|
||||
model_params_setting = serializers.JSONField(required=False,
|
||||
error_messages=ErrMessage.dict(_("Model parameter settings")))
|
||||
model_params_setting = serializers.JSONField(required=False, error_messages=ErrMessage.dict("模型参数相关设置"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
|
|
@ -402,7 +365,7 @@ class ChatSerializers(serializers.Serializer):
|
|||
if 'id' in self.data and self.data.get('id') is not None:
|
||||
application = QuerySet(Application).filter(id=self.data.get('id')).first()
|
||||
if application is None:
|
||||
raise AppApiException(500, gettext("Application does not exist"))
|
||||
raise AppApiException(500, "应用不存在")
|
||||
return application.user_id
|
||||
return self.data.get('user_id')
|
||||
|
||||
|
|
@ -445,19 +408,18 @@ class ChatSerializerModel(serializers.ModelSerializer):
|
|||
|
||||
class ChatRecordSerializer(serializers.Serializer):
|
||||
class Operate(serializers.Serializer):
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
|
||||
chat_record_id = serializers.UUIDField(required=True,
|
||||
error_messages=ErrMessage.uuid(_("Conversation record id")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
|
||||
chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
|
||||
|
||||
def is_valid(self, *, current_role=None, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
application_access_token = QuerySet(ApplicationAccessToken).filter(
|
||||
application_id=self.data.get('application_id')).first()
|
||||
if application_access_token is None:
|
||||
raise AppApiException(500, gettext('Application authentication information does not exist'))
|
||||
raise AppApiException(500, '不存在的应用认证信息')
|
||||
if not application_access_token.show_source and current_role == RoleConstants.APPLICATION_ACCESS_TOKEN.value:
|
||||
raise AppApiException(500, gettext('Displaying knowledge sources is not enabled'))
|
||||
raise AppApiException(500, '未开启显示知识来源')
|
||||
|
||||
def get_chat_record(self):
|
||||
chat_record_id = self.data.get('chat_record_id')
|
||||
|
|
@ -475,13 +437,13 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
self.is_valid(current_role=current_role, raise_exception=True)
|
||||
chat_record = self.get_chat_record()
|
||||
if chat_record is None:
|
||||
raise AppApiException(500, gettext("Conversation does not exist"))
|
||||
raise AppApiException(500, "对话不存在")
|
||||
return ChatRecordSerializer.Query.reset_chat_record(chat_record)
|
||||
|
||||
class Query(serializers.Serializer):
|
||||
application_id = serializers.UUIDField(required=True)
|
||||
chat_id = serializers.UUIDField(required=True)
|
||||
order_asc = serializers.BooleanField(required=False, allow_null=True)
|
||||
order_asc = serializers.BooleanField(required=False)
|
||||
|
||||
def list(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -537,27 +499,23 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
return page
|
||||
|
||||
class Vote(serializers.Serializer):
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
|
||||
chat_record_id = serializers.UUIDField(required=True,
|
||||
error_messages=ErrMessage.uuid(_("Conversation record id")))
|
||||
chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
|
||||
|
||||
vote_status = serializers.ChoiceField(choices=VoteChoices.choices,
|
||||
error_messages=ErrMessage.uuid(_("Bidding Status")))
|
||||
vote_status = serializers.ChoiceField(choices=VoteChoices.choices, error_messages=ErrMessage.uuid("投标状态"))
|
||||
|
||||
@transaction.atomic
|
||||
def vote(self, with_valid=True):
|
||||
if with_valid:
|
||||
self.is_valid(raise_exception=True)
|
||||
if not try_lock(self.data.get('chat_record_id')):
|
||||
raise AppApiException(500,
|
||||
gettext(
|
||||
"Voting on the current session minutes, please do not send repeated requests"))
|
||||
raise AppApiException(500, "正在对当前会话纪要进行投票中,请勿重复发送请求")
|
||||
try:
|
||||
chat_record_details_model = QuerySet(ChatRecord).get(id=self.data.get('chat_record_id'),
|
||||
chat_id=self.data.get('chat_id'))
|
||||
if chat_record_details_model is None:
|
||||
raise AppApiException(500, gettext("Non-existent conversation chat_record_id"))
|
||||
raise AppApiException(500, "不存在的对话 chat_record_id")
|
||||
vote_status = self.data.get("vote_status")
|
||||
if chat_record_details_model.vote_status == VoteChoices.UN_VOTE:
|
||||
if vote_status == VoteChoices.STAR:
|
||||
|
|
@ -574,18 +532,18 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
chat_record_details_model.vote_status = VoteChoices.UN_VOTE
|
||||
chat_record_details_model.save()
|
||||
else:
|
||||
raise AppApiException(500, gettext("Already voted, please cancel first and then vote again"))
|
||||
raise AppApiException(500, "已经投票过,请先取消后再进行投票")
|
||||
finally:
|
||||
un_lock(self.data.get('chat_record_id'))
|
||||
return True
|
||||
|
||||
class ImproveSerializer(serializers.Serializer):
|
||||
title = serializers.CharField(required=False, max_length=256, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("Section title")))
|
||||
content = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Paragraph content")))
|
||||
error_messages=ErrMessage.char("段落标题"))
|
||||
content = serializers.CharField(required=True, error_messages=ErrMessage.char("段落内容"))
|
||||
|
||||
problem_text = serializers.CharField(required=False, max_length=256, allow_null=True, allow_blank=True,
|
||||
error_messages=ErrMessage.char(_("question")))
|
||||
error_messages=ErrMessage.char("问题"))
|
||||
|
||||
class ParagraphModel(serializers.ModelSerializer):
|
||||
class Meta:
|
||||
|
|
@ -593,10 +551,9 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
fields = "__all__"
|
||||
|
||||
class ChatRecordImprove(serializers.Serializer):
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
|
||||
chat_record_id = serializers.UUIDField(required=True,
|
||||
error_messages=ErrMessage.uuid(_("Conversation record id")))
|
||||
chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
|
||||
|
||||
def get(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -605,7 +562,7 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
chat_id = self.data.get('chat_id')
|
||||
chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_id).first()
|
||||
if chat_record is None:
|
||||
raise AppApiException(500, gettext('Conversation record does not exist'))
|
||||
raise AppApiException(500, '不存在的对话记录')
|
||||
if chat_record.improve_paragraph_id_list is None or len(chat_record.improve_paragraph_id_list) == 0:
|
||||
return []
|
||||
|
||||
|
|
@ -619,20 +576,19 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
return [ChatRecordSerializer.ParagraphModel(p).data for p in paragraph_model_list]
|
||||
|
||||
class Improve(serializers.Serializer):
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
|
||||
chat_record_id = serializers.UUIDField(required=True,
|
||||
error_messages=ErrMessage.uuid(_("Conversation record id")))
|
||||
chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
|
||||
|
||||
dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Knowledge base id")))
|
||||
dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("知识库id"))
|
||||
|
||||
document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Document id")))
|
||||
document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("文档id"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
if not QuerySet(Document).filter(id=self.data.get('document_id'),
|
||||
dataset_id=self.data.get('dataset_id')).exists():
|
||||
raise AppApiException(500, gettext("The document id is incorrect"))
|
||||
raise AppApiException(500, "文档id不正确")
|
||||
|
||||
@staticmethod
|
||||
def post_embedding_paragraph(chat_record, paragraph_id, dataset_id):
|
||||
|
|
@ -651,7 +607,7 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
chat_id = self.data.get('chat_id')
|
||||
chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_id).first()
|
||||
if chat_record is None:
|
||||
raise AppApiException(500, gettext('Conversation record does not exist'))
|
||||
raise AppApiException(500, '不存在的对话记录')
|
||||
|
||||
document_id = self.data.get("document_id")
|
||||
dataset_id = self.data.get("dataset_id")
|
||||
|
|
@ -678,16 +634,15 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
return ChatRecordSerializerModel(chat_record).data, paragraph.id, dataset_id
|
||||
|
||||
class Operate(serializers.Serializer):
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
|
||||
chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
|
||||
|
||||
chat_record_id = serializers.UUIDField(required=True,
|
||||
error_messages=ErrMessage.uuid(_("Conversation record id")))
|
||||
chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
|
||||
|
||||
dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Knowledge base id")))
|
||||
dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("知识库id"))
|
||||
|
||||
document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Document id")))
|
||||
document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("文档id"))
|
||||
|
||||
paragraph_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Paragraph id")))
|
||||
paragraph_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("段落id"))
|
||||
|
||||
def delete(self, with_valid=True):
|
||||
if with_valid:
|
||||
|
|
@ -700,12 +655,9 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
paragraph_id = self.data.get('paragraph_id')
|
||||
chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_id).first()
|
||||
if chat_record is None:
|
||||
raise AppApiException(500, gettext('Conversation record does not exist'))
|
||||
raise AppApiException(500, '不存在的对话记录')
|
||||
if not chat_record.improve_paragraph_id_list.__contains__(uuid.UUID(paragraph_id)):
|
||||
message = lazy_format(
|
||||
_('The paragraph id is wrong. The current conversation record does not exist. [{paragraph_id}] paragraph id'),
|
||||
paragraph_id=paragraph_id)
|
||||
raise AppApiException(500, message)
|
||||
raise AppApiException(500, f'段落id错误,当前对话记录不存在【{paragraph_id}】段落id')
|
||||
chat_record.improve_paragraph_id_list = [row for row in chat_record.improve_paragraph_id_list if
|
||||
str(row) != paragraph_id]
|
||||
chat_record.save()
|
||||
|
|
@ -715,15 +667,15 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
return o.delete()
|
||||
|
||||
class PostImprove(serializers.Serializer):
|
||||
dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Knowledge base id")))
|
||||
document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Document id")))
|
||||
dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("知识库id"))
|
||||
document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("文档id"))
|
||||
chat_ids = serializers.ListSerializer(child=serializers.UUIDField(), required=True,
|
||||
error_messages=ErrMessage.list(_("Conversation ID")))
|
||||
error_messages=ErrMessage.list("对话id"))
|
||||
|
||||
def is_valid(self, *, raise_exception=False):
|
||||
super().is_valid(raise_exception=True)
|
||||
if not Document.objects.filter(id=self.data['document_id'], dataset_id=self.data['dataset_id']).exists():
|
||||
raise AppApiException(500, gettext("The document id is incorrect"))
|
||||
raise AppApiException(500, "文档id不正确")
|
||||
|
||||
@staticmethod
|
||||
def post_embedding_paragraph(paragraph_ids, dataset_id):
|
||||
|
|
@ -742,7 +694,7 @@ class ChatRecordSerializer(serializers.Serializer):
|
|||
# 获取所有聊天记录
|
||||
chat_record_list = list(ChatRecord.objects.filter(chat_id__in=chat_ids))
|
||||
if len(chat_record_list) < len(chat_ids):
|
||||
raise AppApiException(500, gettext("Conversation records that do not exist"))
|
||||
raise AppApiException(500, "存在不存在的对话记录")
|
||||
|
||||
# 批量创建段落和问题映射
|
||||
paragraphs = []
|
||||
|
|
|
|||
|
|
@ -10,8 +10,7 @@ SELECT
|
|||
application_chat_record_temp."index" as "index",
|
||||
application_chat_record_temp.improve_paragraph_list as improve_paragraph_list,
|
||||
application_chat_record_temp.vote_status as vote_status,
|
||||
application_chat_record_temp.create_time as create_time,
|
||||
to_json(application_chat.asker) as asker
|
||||
application_chat_record_temp.create_time as create_time
|
||||
FROM
|
||||
application_chat application_chat
|
||||
LEFT JOIN (
|
||||
|
|
@ -23,8 +22,6 @@ FROM
|
|||
chat_id
|
||||
FROM
|
||||
application_chat_record
|
||||
WHERE chat_id IN (
|
||||
SELECT id FROM application_chat ${inner_queryset})
|
||||
GROUP BY
|
||||
application_chat_record.chat_id
|
||||
) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
|
||||
|
|
@ -37,5 +34,4 @@ FROM
|
|||
END as improve_paragraph_list
|
||||
FROM
|
||||
application_chat_record application_chat_record
|
||||
) application_chat_record_temp ON application_chat_record_temp.chat_id = application_chat."id"
|
||||
${default_queryset}
|
||||
) application_chat_record_temp ON application_chat_record_temp.chat_id = application_chat."id"
|
||||
|
|
@ -1,5 +1,5 @@
|
|||
SELECT
|
||||
*,to_json(asker) as asker
|
||||
*
|
||||
FROM
|
||||
application_chat application_chat
|
||||
LEFT JOIN (
|
||||
|
|
@ -11,9 +11,6 @@ FROM
|
|||
chat_id
|
||||
FROM
|
||||
application_chat_record
|
||||
WHERE chat_id IN (
|
||||
SELECT id FROM application_chat ${inner_queryset})
|
||||
GROUP BY
|
||||
application_chat_record.chat_id
|
||||
) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
|
||||
${default_queryset}
|
||||
) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
|
||||
|
|
@ -9,7 +9,6 @@
|
|||
from drf_yasg import openapi
|
||||
|
||||
from common.mixins.api_mixin import ApiMixin
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ApplicationApi(ApiMixin):
|
||||
|
|
@ -21,7 +20,7 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_FORM,
|
||||
type=openapi.TYPE_FILE,
|
||||
required=True,
|
||||
description=_('Upload files'))
|
||||
description='上传文件')
|
||||
]
|
||||
|
||||
class Authentication(ApiMixin):
|
||||
|
|
@ -31,22 +30,12 @@ class ApplicationApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['access_token', ],
|
||||
properties={
|
||||
'access_token': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Application authentication token"),
|
||||
description=_("Application authentication token")),
|
||||
'access_token': openapi.Schema(type=openapi.TYPE_STRING, title="应用认证token",
|
||||
description="应用认证token"),
|
||||
|
||||
}
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_response_body_api():
|
||||
return openapi.Schema(
|
||||
type=openapi.TYPE_STRING,
|
||||
title=_("Application authentication token"),
|
||||
description=_("Application authentication token"),
|
||||
default="token"
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_response_body_api():
|
||||
return openapi.Schema(
|
||||
|
|
@ -54,35 +43,27 @@ class ApplicationApi(ApiMixin):
|
|||
required=['id', 'name', 'desc', 'model_id', 'dialogue_number', 'user_id', 'status', 'create_time',
|
||||
'update_time'],
|
||||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title="", description=_("Primary key id")),
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
|
||||
description=_("Application Name")),
|
||||
'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
|
||||
description=_("Application Description")),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"), description=_("Model id")),
|
||||
"dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
|
||||
title=_("Number of multi-round conversations"),
|
||||
description=_("Number of multi-round conversations")),
|
||||
'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
|
||||
description=_("Opening remarks")),
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title="", description="主键id"),
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title="应用名称", description="应用名称"),
|
||||
'desc': openapi.Schema(type=openapi.TYPE_STRING, title="应用描述", description="应用描述"),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
|
||||
"dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER, title="多轮对话次数",
|
||||
description="多轮对话次数"),
|
||||
'prologue': openapi.Schema(type=openapi.TYPE_STRING, title="开场白", description="开场白"),
|
||||
'example': openapi.Schema(type=openapi.TYPE_ARRAY, items=openapi.Schema(type=openapi.TYPE_STRING),
|
||||
title=_("Example List"), description=_("Example List")),
|
||||
'user_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Affiliation user"),
|
||||
description=_("Affiliation user")),
|
||||
title="示例列表", description="示例列表"),
|
||||
'user_id': openapi.Schema(type=openapi.TYPE_STRING, title="所属用户", description="所属用户"),
|
||||
|
||||
'status': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is publish"), description=_('Is publish')),
|
||||
'status': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否发布", description='是否发布'),
|
||||
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
|
||||
description=_('Creation time')),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间", description='创建时间'),
|
||||
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
|
||||
description=_('Modification time')),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间", description='修改时间'),
|
||||
|
||||
'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING),
|
||||
title=_("List of associated knowledge base IDs"),
|
||||
description=_(
|
||||
"List of associated knowledge base IDs (returned when querying details)"))
|
||||
title="关联知识库Id列表",
|
||||
description="关联知识库Id列表(查询详情的时候返回)")
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -93,11 +74,11 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='model_type', in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=False,
|
||||
description=_('Model Type')),
|
||||
description='模型类型'),
|
||||
]
|
||||
|
||||
class ApiKey(ApiMixin):
|
||||
|
|
@ -107,7 +88,7 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID'))
|
||||
description='应用id')
|
||||
|
||||
]
|
||||
|
||||
|
|
@ -118,12 +99,12 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='api_key_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application api_key id'))
|
||||
description='应用api_key id')
|
||||
]
|
||||
|
||||
@staticmethod
|
||||
|
|
@ -132,33 +113,11 @@ class ApplicationApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=[],
|
||||
properties={
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
|
||||
description=_("Is activation")),
|
||||
'allow_cross_domain': openapi.Schema(type=openapi.TYPE_BOOLEAN,
|
||||
title=_("Is cross-domain allowed"),
|
||||
description=_("Is cross-domain allowed")),
|
||||
'cross_domain_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_('Cross-domain list'),
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING))
|
||||
}
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_response_body_api():
|
||||
return openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
|
||||
description=_("Primary key id")),
|
||||
'secret_key': openapi.Schema(type=openapi.TYPE_STRING, title=_("Secret key"),
|
||||
description=_("Secret key")),
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
|
||||
description=_("Is activation")),
|
||||
'application_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application ID"),
|
||||
description=_("Application ID")),
|
||||
'allow_cross_domain': openapi.Schema(type=openapi.TYPE_BOOLEAN,
|
||||
title=_("Is cross-domain allowed"),
|
||||
description=_("Is cross-domain allowed")),
|
||||
'cross_domain_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_('Cross-domain list'),
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否激活",
|
||||
description="是否激活"),
|
||||
'allow_cross_domain': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否允许跨域",
|
||||
description="是否允许跨域"),
|
||||
'cross_domain_list': openapi.Schema(type=openapi.TYPE_ARRAY, title='跨域列表',
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING))
|
||||
}
|
||||
)
|
||||
|
|
@ -170,7 +129,7 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID'))
|
||||
description='应用id')
|
||||
|
||||
]
|
||||
|
||||
|
|
@ -180,55 +139,18 @@ class ApplicationApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=[],
|
||||
properties={
|
||||
'access_token_reset': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Reset Token"),
|
||||
description=_("Reset Token")),
|
||||
'access_token_reset': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重置Token",
|
||||
description="重置Token"),
|
||||
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
|
||||
description=_("Is activation")),
|
||||
'access_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of visits"),
|
||||
description=_("Number of visits")),
|
||||
'white_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Whether to enable whitelist"),
|
||||
description=_("Whether to enable whitelist")),
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否激活", description="是否激活"),
|
||||
'access_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="访问次数", description="访问次数"),
|
||||
'white_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否开启白名单",
|
||||
description="是否开启白名单"),
|
||||
'white_list': openapi.Schema(type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING), title=_("Whitelist"),
|
||||
description=_("Whitelist")),
|
||||
'show_source': openapi.Schema(type=openapi.TYPE_BOOLEAN,
|
||||
title=_("Whether to display knowledge sources"),
|
||||
description=_("Whether to display knowledge sources")),
|
||||
'language': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("language"),
|
||||
description=_("language"))
|
||||
}
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_response_body_api():
|
||||
return openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=[],
|
||||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
|
||||
description=_("Primary key id")),
|
||||
'access_token': openapi.Schema(type=openapi.TYPE_STRING, title=_("Access Token"),
|
||||
description=_("Access Token")),
|
||||
'access_token_reset': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Reset Token"),
|
||||
description=_("Reset Token")),
|
||||
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
|
||||
description=_("Is activation")),
|
||||
'access_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of visits"),
|
||||
description=_("Number of visits")),
|
||||
'white_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Whether to enable whitelist"),
|
||||
description=_("Whether to enable whitelist")),
|
||||
'white_list': openapi.Schema(type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING), title=_("Whitelist"),
|
||||
description=_("Whitelist")),
|
||||
'show_source': openapi.Schema(type=openapi.TYPE_BOOLEAN,
|
||||
title=_("Whether to display knowledge sources"),
|
||||
description=_("Whether to display knowledge sources")),
|
||||
'language': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("language"),
|
||||
description=_("language"))
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING), title="白名单列表",
|
||||
description="白名单列表"),
|
||||
'show_source': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否显示知识来源",
|
||||
description="是否显示知识来源"),
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -239,46 +161,37 @@ class ApplicationApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=[],
|
||||
properties={
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
|
||||
description=_("Application Name")),
|
||||
'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
|
||||
description=_("Application Description")),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"),
|
||||
description=_("Model id")),
|
||||
"dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
|
||||
title=_("Number of multi-round conversations"),
|
||||
description=_("Number of multi-round conversations")),
|
||||
'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
|
||||
description=_("Opening remarks")),
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title="应用名称", description="应用名称"),
|
||||
'desc': openapi.Schema(type=openapi.TYPE_STRING, title="应用描述", description="应用描述"),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
|
||||
"dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER, title="多轮对话次数",
|
||||
description="多轮对话次数"),
|
||||
'prologue': openapi.Schema(type=openapi.TYPE_STRING, title="开场白", description="开场白"),
|
||||
'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING),
|
||||
title=_("List of associated knowledge base IDs"),
|
||||
description=_("List of associated knowledge base IDs")),
|
||||
title="关联知识库Id列表", description="关联知识库Id列表"),
|
||||
'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
|
||||
'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
|
||||
'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem Optimization"),
|
||||
description=_("Whether to enable problem optimization"),
|
||||
default=True),
|
||||
'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="问题优化",
|
||||
description="是否开启问题优化", default=True),
|
||||
'icon': openapi.Schema(type=openapi.TYPE_STRING, title="icon",
|
||||
description="icon", default="/ui/favicon.ico"),
|
||||
'type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Type"),
|
||||
description=_("Application Type SIMPLE | WORK_FLOW")),
|
||||
'type': openapi.Schema(type=openapi.TYPE_STRING, title="应用类型",
|
||||
description="应用类型 简易:SIMPLE|工作流:WORK_FLOW"),
|
||||
'work_flow': ApplicationApi.WorkFlow.get_request_body_api(),
|
||||
'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_('Question optimization tips'),
|
||||
description=_("Question optimization tips"),
|
||||
default=_(
|
||||
"() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")),
|
||||
'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech model ID"),
|
||||
description=_("Text-to-speech model ID")),
|
||||
'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Speech-to-text model id"),
|
||||
description=_("Speech-to-text model id")),
|
||||
'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is speech-to-text enabled"),
|
||||
description=_("Is speech-to-text enabled")),
|
||||
'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is text-to-speech enabled"),
|
||||
description=_("Is text-to-speech enabled")),
|
||||
'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech type"),
|
||||
description=_("Text-to-speech type"))
|
||||
'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING, title='问题优化提示词',
|
||||
description="问题优化提示词",
|
||||
default="()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中"),
|
||||
'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音模型ID",
|
||||
description="文字转语音模型ID"),
|
||||
'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字模型id",
|
||||
description="语音转文字模型id"),
|
||||
'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
|
||||
description="语音转文字是否开启"),
|
||||
'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
|
||||
description="语音转文字是否开启"),
|
||||
'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音类型",
|
||||
description="文字转语音类型")
|
||||
|
||||
}
|
||||
)
|
||||
|
|
@ -291,11 +204,11 @@ class ApplicationApi(ApiMixin):
|
|||
required=[''],
|
||||
properties={
|
||||
'nodes': openapi.Schema(type=openapi.TYPE_ARRAY, items=openapi.Schema(type=openapi.TYPE_OBJECT),
|
||||
title=_("Node List"), description=_("Node List"),
|
||||
title="节点列表", description="节点列表",
|
||||
default=[]),
|
||||
'edges': openapi.Schema(type=openapi.TYPE_ARRAY, items=openapi.Schema(type=openapi.TYPE_OBJECT),
|
||||
title=_('Connection List'), description=_("Connection List"),
|
||||
default=[]),
|
||||
title='连线列表', description="连线列表",
|
||||
default={}),
|
||||
|
||||
}
|
||||
)
|
||||
|
|
@ -307,31 +220,24 @@ class ApplicationApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=[''],
|
||||
properties={
|
||||
'top_n': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Reference segment number"),
|
||||
description=_("Reference segment number"),
|
||||
'top_n': openapi.Schema(type=openapi.TYPE_NUMBER, title="引用分段数", description="引用分段数",
|
||||
default=5),
|
||||
'similarity': openapi.Schema(type=openapi.TYPE_NUMBER, title=_('Similarity'),
|
||||
description=_("Similarity"),
|
||||
'similarity': openapi.Schema(type=openapi.TYPE_NUMBER, title='相似度', description="相似度",
|
||||
default=0.6),
|
||||
'max_paragraph_char_number': openapi.Schema(type=openapi.TYPE_NUMBER,
|
||||
title=_('Maximum number of quoted characters'),
|
||||
description=_("Maximum number of quoted characters"),
|
||||
default=3000),
|
||||
'search_mode': openapi.Schema(type=openapi.TYPE_STRING, title=_('Retrieval Mode'),
|
||||
'max_paragraph_char_number': openapi.Schema(type=openapi.TYPE_NUMBER, title='最多引用字符数',
|
||||
description="最多引用字符数", default=3000),
|
||||
'search_mode': openapi.Schema(type=openapi.TYPE_STRING, title='检索模式',
|
||||
description="embedding|keywords|blend", default='embedding'),
|
||||
'no_references_setting': openapi.Schema(type=openapi.TYPE_OBJECT,
|
||||
title=_('No reference segment settings'),
|
||||
'no_references_setting': openapi.Schema(type=openapi.TYPE_OBJECT, title='检索模式',
|
||||
required=['status', 'value'],
|
||||
properties={
|
||||
'status': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("state"),
|
||||
description=_(
|
||||
"ai_questioning|designated_answer"),
|
||||
title="状态",
|
||||
description="ai作答:ai_questioning,指定回答:designated_answer",
|
||||
default='ai_questioning'),
|
||||
'value': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("value"),
|
||||
description=_(
|
||||
"ai_questioning: is the title, designated_answer: is the designated answer content"),
|
||||
title="值",
|
||||
description="ai作答:就是题词,指定回答:就是指定回答内容",
|
||||
default='{question}'),
|
||||
}),
|
||||
}
|
||||
|
|
@ -344,26 +250,23 @@ class ApplicationApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['prompt'],
|
||||
properties={
|
||||
'prompt': openapi.Schema(type=openapi.TYPE_STRING, title=_("Prompt word"),
|
||||
description=_("Prompt word"),
|
||||
default=_(("Known information:\n"
|
||||
"{data}\n"
|
||||
"Answer requirements:\n"
|
||||
"- If you don't know the answer or don't get the answer, please answer \"No relevant information found in the knowledge base, it is recommended to consult relevant technical support or refer to official documents for operation\".\n"
|
||||
"- Avoid mentioning that you got the knowledge from <data></data>.\n"
|
||||
"- Please keep the answer consistent with the description in <data></data>.\n"
|
||||
"- Please use markdown syntax to optimize the format of the answer.\n"
|
||||
"- Please return the image link, link address and script language in <data></data> completely.\n"
|
||||
"- Please answer in the same language as the question.\n"
|
||||
"Question:\n"
|
||||
"{question}"))),
|
||||
'prompt': openapi.Schema(type=openapi.TYPE_STRING, title="提示词", description="提示词",
|
||||
default=('已知信息：'
|
||||
'\n{data}'
|
||||
'\n回答要求：'
|
||||
'\n- 如果你不知道答案或者没有从获取答案，请回答“没有在知识库中查找到相关信息，建议咨询相关技术支持或参考官方文档进行操作”。'
|
||||
'\n- 避免提及你是从<data></data>中获得的知识。'
|
||||
'\n- 请保持答案与<data></data>中描述的一致。'
|
||||
'\n- 请使用markdown 语法优化答案的格式。'
|
||||
'\n- <data></data>中的图片链接、链接地址和脚本语言请完整返回。'
|
||||
'\n- 请使用与问题相同的语言来回答。'
|
||||
'\n问题：'
|
||||
'\n{question}')),
|
||||
|
||||
'system': openapi.Schema(type=openapi.TYPE_STRING, title=_("System prompt words (role)"),
|
||||
description=_("System prompt words (role)")),
|
||||
'no_references_prompt': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("No citation segmentation prompt"),
|
||||
default="{question}",
|
||||
description=_("No citation segmentation prompt"))
|
||||
'system': openapi.Schema(type=openapi.TYPE_STRING, title="系统提示词(角色)",
|
||||
description="系统提示词(角色)"),
|
||||
'no_references_prompt': openapi.Schema(type=openapi.TYPE_STRING, title="无引用分段提示词",
|
||||
default="{question}", description="无引用分段提示词")
|
||||
|
||||
}
|
||||
)
|
||||
|
|
@ -385,96 +288,36 @@ class ApplicationApi(ApiMixin):
|
|||
return openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=['name', 'desc', 'model_id', 'dialogue_number', 'dataset_setting', 'model_setting',
|
||||
'problem_optimization', 'stt_model_enable', 'stt_model_enable', 'tts_type',
|
||||
'work_flow'],
|
||||
'problem_optimization', 'stt_model_enable', 'stt_model_enable', 'tts_type'],
|
||||
properties={
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
|
||||
description=_("Application Name")),
|
||||
'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
|
||||
description=_("Application Description")),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"),
|
||||
description=_("Model id")),
|
||||
"dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
|
||||
title=_("Number of multi-round conversations"),
|
||||
description=_("Number of multi-round conversations")),
|
||||
'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
|
||||
description=_("Opening remarks")),
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title="应用名称", description="应用名称"),
|
||||
'desc': openapi.Schema(type=openapi.TYPE_STRING, title="应用描述", description="应用描述"),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
|
||||
"dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER, title="多轮对话次数",
|
||||
description="多轮对话次数"),
|
||||
'prologue': openapi.Schema(type=openapi.TYPE_STRING, title="开场白", description="开场白"),
|
||||
'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING),
|
||||
title=_("List of associated knowledge base IDs"),
|
||||
description=_("List of associated knowledge base IDs")),
|
||||
title="关联知识库Id列表", description="关联知识库Id列表"),
|
||||
'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
|
||||
'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
|
||||
'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem Optimization"),
|
||||
description=_("Problem Optimization"), default=True),
|
||||
'type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Type"),
|
||||
description=_("Application Type SIMPLE | WORK_FLOW")),
|
||||
'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_('Question optimization tips'),
|
||||
description=_("Question optimization tips"),
|
||||
default=_(
|
||||
"() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")),
|
||||
'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech model ID"),
|
||||
description=_("Text-to-speech model ID")),
|
||||
'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Speech-to-text model id"),
|
||||
description=_("Speech-to-text model id")),
|
||||
'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is speech-to-text enabled"),
|
||||
description=_("Is speech-to-text enabled")),
|
||||
'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is text-to-speech enabled"),
|
||||
description=_("Is text-to-speech enabled")),
|
||||
'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech type"),
|
||||
description=_("Text-to-speech type")),
|
||||
'work_flow': ApplicationApi.WorkFlow.get_request_body_api(),
|
||||
}
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_response_body_api():
|
||||
return openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=['id', 'name', 'desc', 'model_id', 'dialogue_number', 'dataset_setting', 'model_setting',
|
||||
'problem_optimization', 'stt_model_enable', 'stt_model_enable', 'tts_type',
|
||||
'work_flow'],
|
||||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
|
||||
description=_("Primary key id")),
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
|
||||
description=_("Application Name")),
|
||||
'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
|
||||
description=_("Application Description")),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"),
|
||||
description=_("Model id")),
|
||||
"dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
|
||||
title=_("Number of multi-round conversations"),
|
||||
description=_("Number of multi-round conversations")),
|
||||
'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
|
||||
description=_("Opening remarks")),
|
||||
'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING),
|
||||
title=_("List of associated knowledge base IDs"),
|
||||
description=_("List of associated knowledge base IDs")),
|
||||
'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
|
||||
'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
|
||||
'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem Optimization"),
|
||||
description=_("Problem Optimization"), default=True),
|
||||
'type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Type"),
|
||||
description=_("Application Type SIMPLE | WORK_FLOW")),
|
||||
'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_('Question optimization tips'),
|
||||
description=_("Question optimization tips"),
|
||||
default=_(
|
||||
"() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")),
|
||||
'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech model ID"),
|
||||
description=_("Text-to-speech model ID")),
|
||||
'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Speech-to-text model id"),
|
||||
description=_("Speech-to-text model id")),
|
||||
'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is speech-to-text enabled"),
|
||||
description=_("Is speech-to-text enabled")),
|
||||
'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is text-to-speech enabled"),
|
||||
description=_("Is text-to-speech enabled")),
|
||||
'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech type"),
|
||||
description=_("Text-to-speech type")),
|
||||
'work_flow': ApplicationApi.WorkFlow.get_request_body_api(),
|
||||
'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="问题优化",
|
||||
description="是否开启问题优化", default=True),
|
||||
'type': openapi.Schema(type=openapi.TYPE_STRING, title="应用类型",
|
||||
description="应用类型 简易:SIMPLE|工作流:WORK_FLOW"),
|
||||
'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING, title='问题优化提示词',
|
||||
description="问题优化提示词",
|
||||
default="()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中"),
|
||||
'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音模型ID",
|
||||
description="文字转语音模型ID"),
|
||||
'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字模型id",
|
||||
description="语音转文字模型id"),
|
||||
'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
|
||||
description="语音转文字是否开启"),
|
||||
'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
|
||||
description="语音转文字是否开启"),
|
||||
'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音类型",
|
||||
description="文字转语音类型")
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -485,12 +328,12 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=False,
|
||||
description=_('Application Name')),
|
||||
description='应用名称'),
|
||||
openapi.Parameter(name='desc',
|
||||
in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=False,
|
||||
description=_('Application Description'))
|
||||
description='应用描述')
|
||||
]
|
||||
|
||||
class Export(ApiMixin):
|
||||
|
|
@ -500,7 +343,7 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
|
||||
]
|
||||
|
||||
|
|
@ -511,7 +354,7 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_FORM,
|
||||
type=openapi.TYPE_FILE,
|
||||
required=True,
|
||||
description=_('Upload image files'))
|
||||
description='上传图片文件')
|
||||
]
|
||||
|
||||
class Operate(ApiMixin):
|
||||
|
|
@ -521,28 +364,6 @@ class ApplicationApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
|
||||
]
|
||||
|
||||
class TextToSpeech(ApiMixin):
|
||||
@staticmethod
|
||||
def get_request_params_api():
|
||||
return [openapi.Parameter(name='application_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
|
||||
]
|
||||
|
||||
@staticmethod
|
||||
def get_request_body_api():
|
||||
return openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=[],
|
||||
properties={
|
||||
'text': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text"),
|
||||
description=_("Text")),
|
||||
}
|
||||
)
|
||||
|
|
|
|||
|
|
@ -9,7 +9,7 @@
|
|||
from drf_yasg import openapi
|
||||
|
||||
from common.mixins.api_mixin import ApiMixin
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ApplicationStatisticsApi(ApiMixin):
|
||||
@staticmethod
|
||||
|
|
@ -18,17 +18,17 @@ class ApplicationStatisticsApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='start_time',
|
||||
in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Start time')),
|
||||
description='开始时间'),
|
||||
openapi.Parameter(name='end_time',
|
||||
in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('End time')),
|
||||
description='结束时间'),
|
||||
]
|
||||
|
||||
class ChatRecordAggregate(ApiMixin):
|
||||
|
|
@ -38,21 +38,21 @@ class ApplicationStatisticsApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['star_num', 'trample_num', 'tokens_num', 'chat_record_count'],
|
||||
properties={
|
||||
'star_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of Likes"),
|
||||
description=_("Number of Likes")),
|
||||
'star_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="点赞数量",
|
||||
description="点赞数量"),
|
||||
|
||||
'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of thumbs-downs"), description=_("Number of thumbs-downs")),
|
||||
'tokens_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of tokens used"),
|
||||
description=_("Number of tokens used")),
|
||||
'chat_record_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of conversations"),
|
||||
description=_("Number of conversations")),
|
||||
'customer_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of customers"),
|
||||
description=_("Number of customers")),
|
||||
'customer_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of new customers"),
|
||||
description=_("Number of new customers")),
|
||||
'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="点踩数量", description="点踩数量"),
|
||||
'tokens_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="token使用数量",
|
||||
description="token使用数量"),
|
||||
'chat_record_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="对话次数",
|
||||
description="对话次数"),
|
||||
'customer_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="客户数量",
|
||||
description="客户数量"),
|
||||
'customer_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="客户新增数量",
|
||||
description="客户新增数量"),
|
||||
'day': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("time"),
|
||||
description=_("Time, this field is only available when querying trends")),
|
||||
title="日期",
|
||||
description="日期,只有查询趋势的时候才有该字段"),
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -63,11 +63,11 @@ class ApplicationStatisticsApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['added_count'],
|
||||
properties={
|
||||
'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("New quantity"), description=_("New quantity")),
|
||||
'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="新增数量", description="新增数量"),
|
||||
|
||||
'day': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("time"),
|
||||
description=_("time")),
|
||||
title="时间",
|
||||
description="时间"),
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -78,9 +78,9 @@ class ApplicationStatisticsApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['added_count'],
|
||||
properties={
|
||||
'today_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Today's new quantity"),
|
||||
description=_("Today's new quantity")),
|
||||
'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("New quantity"), description=_("New quantity")),
|
||||
'today_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="今日新增数量",
|
||||
description="今日新增数量"),
|
||||
'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="新增数量", description="新增数量"),
|
||||
|
||||
}
|
||||
)
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@
|
|||
from drf_yasg import openapi
|
||||
|
||||
from common.mixins.api_mixin import ApiMixin
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ApplicationVersionApi(ApiMixin):
|
||||
|
|
@ -19,16 +18,13 @@ class ApplicationVersionApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['id', 'name', 'work_flow', 'create_time', 'update_time'],
|
||||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Primary key id"),
|
||||
description=_("Primary key id")),
|
||||
'name': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Version Name"),
|
||||
description=_("Version Name")),
|
||||
'work_flow': openapi.Schema(type=openapi.TYPE_STRING, title=_("Workflow data"),
|
||||
description=_('Workflow data')),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
|
||||
description=_('Creation time')),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
|
||||
description=_('Modification time'))
|
||||
'id': openapi.Schema(type=openapi.TYPE_NUMBER, title="主键id",
|
||||
description="主键id"),
|
||||
'name': openapi.Schema(type=openapi.TYPE_NUMBER, title="版本名称",
|
||||
description="版本名称"),
|
||||
'work_flow': openapi.Schema(type=openapi.TYPE_STRING, title="工作流数据", description='工作流数据'),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间", description='创建时间'),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间", description='修改时间')
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -39,12 +35,12 @@ class ApplicationVersionApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='name',
|
||||
in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=False,
|
||||
description=_('Version Name'))]
|
||||
description='版本名称')]
|
||||
|
||||
class Operate(ApiMixin):
|
||||
@staticmethod
|
||||
|
|
@ -53,12 +49,12 @@ class ApplicationVersionApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='work_flow_version_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application version id')), ]
|
||||
description='应用版本id'), ]
|
||||
|
||||
class Edit(ApiMixin):
|
||||
@staticmethod
|
||||
|
|
@ -67,7 +63,7 @@ class ApplicationVersionApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=[],
|
||||
properties={
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Version Name"),
|
||||
description=_("Version Name"))
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING, title="版本名称",
|
||||
description="版本名称")
|
||||
}
|
||||
)
|
||||
|
|
|
|||
|
|
@ -10,7 +10,6 @@ from drf_yasg import openapi
|
|||
|
||||
from application.swagger_api.application_api import ApplicationApi
|
||||
from common.mixins.api_mixin import ApiMixin
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ChatClientHistoryApi(ApiMixin):
|
||||
|
|
@ -20,143 +19,31 @@ class ChatClientHistoryApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID'))
|
||||
description='应用id')
|
||||
]
|
||||
|
||||
class Operate(ApiMixin):
|
||||
@staticmethod
|
||||
def get_request_params_api():
|
||||
return [openapi.Parameter(name='application_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
openapi.Parameter(name='chat_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation ID')),
|
||||
]
|
||||
|
||||
class ReAbstract(ApiMixin):
|
||||
@staticmethod
|
||||
def get_request_body_api():
|
||||
return openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=['abstract'],
|
||||
properties={
|
||||
'abstract': openapi.Schema(type=openapi.TYPE_STRING, title=_("abstract"),
|
||||
description=_("abstract"))
|
||||
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
class OpenAIChatApi(ApiMixin):
|
||||
@staticmethod
|
||||
def get_response_body_api():
|
||||
return openapi.Responses(responses={
|
||||
200: openapi.Response(description=_('response parameters'),
|
||||
schema=openapi.Schema(type=openapi.TYPE_OBJECT,
|
||||
required=['id',
|
||||
'choices'],
|
||||
properties={
|
||||
'id': openapi.Schema(
|
||||
type=openapi.TYPE_STRING,
|
||||
title=_(
|
||||
"Conversation ID")),
|
||||
'choices': openapi.Schema(
|
||||
type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=[
|
||||
'message'],
|
||||
properties={
|
||||
'finish_reason': openapi.Schema(
|
||||
type=openapi.TYPE_STRING, ),
|
||||
'index': openapi.Schema(
|
||||
type=openapi.TYPE_INTEGER),
|
||||
'answer_list': openapi.Schema(
|
||||
type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=[
|
||||
'content'],
|
||||
properties={
|
||||
'content': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
'view_type': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
'runtime_node_id': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
'chat_record_id': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
'reasoning_content': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
}
|
||||
)),
|
||||
'message': openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=[
|
||||
'content'],
|
||||
properties={
|
||||
'content': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
'role': openapi.Schema(
|
||||
type=openapi.TYPE_STRING)
|
||||
|
||||
}),
|
||||
|
||||
}
|
||||
)),
|
||||
'created': openapi.Schema(
|
||||
type=openapi.TYPE_INTEGER),
|
||||
'model': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
'object': openapi.Schema(
|
||||
type=openapi.TYPE_STRING),
|
||||
'usage': openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
required=[
|
||||
'completion_tokens',
|
||||
'prompt_tokens',
|
||||
'total_tokens'],
|
||||
properties={
|
||||
'completion_tokens': openapi.Schema(
|
||||
type=openapi.TYPE_INTEGER),
|
||||
'prompt_tokens': openapi.Schema(
|
||||
type=openapi.TYPE_INTEGER),
|
||||
'total_tokens': openapi.Schema(
|
||||
type=openapi.TYPE_INTEGER)
|
||||
})
|
||||
|
||||
}))})
|
||||
|
||||
@staticmethod
|
||||
def get_request_body_api():
|
||||
return openapi.Schema(type=openapi.TYPE_OBJECT,
|
||||
required=['message'],
|
||||
properties={
|
||||
'messages': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("problem"),
|
||||
description=_("problem"),
|
||||
'messages': openapi.Schema(type=openapi.TYPE_ARRAY, title="问题", description="问题",
|
||||
items=openapi.Schema(type=openapi.TYPE_OBJECT,
|
||||
required=['role', 'content'],
|
||||
properties={
|
||||
'content': openapi.Schema(
|
||||
type=openapi.TYPE_STRING,
|
||||
title=_("Question content"),
|
||||
default=''),
|
||||
title="问题内容", default=''),
|
||||
'role': openapi.Schema(
|
||||
type=openapi.TYPE_STRING,
|
||||
title=_('role'),
|
||||
default="user")
|
||||
title='角色', default="user")
|
||||
}
|
||||
)),
|
||||
'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Conversation ID")),
|
||||
're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("regenerate"),
|
||||
default=False),
|
||||
'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Stream Output"),
|
||||
default=True)
|
||||
'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title="对话id"),
|
||||
're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重新生成", default=False),
|
||||
'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="流式输出", default=True)
|
||||
|
||||
})
|
||||
|
||||
|
|
@ -168,68 +55,9 @@ class ChatApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['message'],
|
||||
properties={
|
||||
'message': openapi.Schema(type=openapi.TYPE_STRING, title=_("problem"), description=_("problem")),
|
||||
're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("regenerate"), default=False),
|
||||
'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is it streaming output"), default=True),
|
||||
|
||||
'form_data': openapi.Schema(type=openapi.TYPE_OBJECT, title=_("Form data"),
|
||||
description=_("Form data"),
|
||||
default={}),
|
||||
'image_list': openapi.Schema(
|
||||
type=openapi.TYPE_ARRAY,
|
||||
title=_("Image list"),
|
||||
description=_("Image list"),
|
||||
items=openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
properties={
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Image name")),
|
||||
'url': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Image URL")),
|
||||
'file_id': openapi.Schema(type=openapi.TYPE_STRING),
|
||||
}
|
||||
),
|
||||
default=[]
|
||||
),
|
||||
'document_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("Document list"),
|
||||
description=_("Document list"),
|
||||
items=openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
properties={
|
||||
# 定义对象的具体属性
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Document name")),
|
||||
'url': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Document URL")),
|
||||
'file_id': openapi.Schema(type=openapi.TYPE_STRING),
|
||||
}
|
||||
),
|
||||
default=[]),
|
||||
'audio_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("Audio list"),
|
||||
description=_("Audio list"),
|
||||
items=openapi.Schema(
|
||||
type=openapi.TYPE_OBJECT,
|
||||
properties={
|
||||
'name': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Audio name")),
|
||||
'url': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Audio URL")),
|
||||
'file_id': openapi.Schema(type=openapi.TYPE_STRING),
|
||||
}
|
||||
),
|
||||
default=[]),
|
||||
'runtime_node_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Runtime node id"),
|
||||
description=_("Runtime node id"),
|
||||
default=""),
|
||||
'node_data': openapi.Schema(type=openapi.TYPE_OBJECT, title=_("Node data"),
|
||||
description=_("Node data"),
|
||||
default={}),
|
||||
'chat_record_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Conversation record id"),
|
||||
description=_("Conversation record id"),
|
||||
default=""),
|
||||
'child_node': openapi.Schema(type=openapi.TYPE_STRING, title=_("Child node"),
|
||||
description=_("Child node"),
|
||||
default={}),
|
||||
'message': openapi.Schema(type=openapi.TYPE_STRING, title="问题", description="问题"),
|
||||
're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重新生成", default=False),
|
||||
'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重新生成", default=True)
|
||||
|
||||
}
|
||||
)
|
||||
|
|
@ -243,26 +71,26 @@ class ChatApi(ApiMixin):
|
|||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
|
||||
description="id", default="xx"),
|
||||
'application_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application ID"),
|
||||
description=_("Application ID"), default=_('Application ID')),
|
||||
'abstract': openapi.Schema(type=openapi.TYPE_STRING, title=_("abstract"),
|
||||
description=_("abstract"), default=_('abstract')),
|
||||
'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Conversation ID"),
|
||||
description=_("Conversation ID"), default=_("Conversation ID")),
|
||||
'chat_record_count': openapi.Schema(type=openapi.TYPE_STRING, title=_("Number of dialogue questions"),
|
||||
description=_("Number of dialogue questions"),
|
||||
default=0),
|
||||
'mark_sum': openapi.Schema(type=openapi.TYPE_STRING, title=_("Number of tags"),
|
||||
description=_("Number of tags"), default=1),
|
||||
'star_num': openapi.Schema(type=openapi.TYPE_STRING, title=_("Number of likes"),
|
||||
description=_("Number of likes"), default=1),
|
||||
'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of clicks"),
|
||||
description=_("Number of clicks"), default=1),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Change time"),
|
||||
description=_("Change time"),
|
||||
'application_id': openapi.Schema(type=openapi.TYPE_STRING, title="应用id",
|
||||
description="应用id", default='应用id'),
|
||||
'abstract': openapi.Schema(type=openapi.TYPE_STRING, title="摘要",
|
||||
description="摘要", default='摘要'),
|
||||
'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title="对话id",
|
||||
description="对话id", default="对话id"),
|
||||
'chat_record_count': openapi.Schema(type=openapi.TYPE_STRING, title="对话提问数量",
|
||||
description="对话提问数量",
|
||||
default="对话提问数量"),
|
||||
'mark_sum': openapi.Schema(type=openapi.TYPE_STRING, title="标记数量",
|
||||
description="标记数量", default=1),
|
||||
'star_num': openapi.Schema(type=openapi.TYPE_STRING, title="点赞数量",
|
||||
description="点赞数量", default=1),
|
||||
'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="点踩数量",
|
||||
description="点踩数量", default=1),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
|
||||
description="修改时间",
|
||||
default="1970-01-01 00:00:00"),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
|
||||
description=_("Creation time"),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
|
||||
description="创建时间",
|
||||
default="1970-01-01 00:00:00"
|
||||
)
|
||||
}
|
||||
|
|
@ -275,7 +103,7 @@ class ChatApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
|
||||
]
|
||||
|
||||
|
|
@ -298,64 +126,41 @@ class ChatApi(ApiMixin):
|
|||
required=['model_id', 'multiple_rounds_dialogue', 'dataset_setting', 'model_setting',
|
||||
'problem_optimization'],
|
||||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application ID"),
|
||||
description=_(
|
||||
"Application ID, pass when modifying, do not pass when creating")),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model ID"),
|
||||
description=_("Model ID")),
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title="应用id",
|
||||
description="应用id,修改的时候传,创建的时候不传"),
|
||||
'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
|
||||
'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING),
|
||||
title=_("List of associated knowledge base IDs"),
|
||||
description=_("List of associated knowledge base IDs")),
|
||||
'multiple_rounds_dialogue': openapi.Schema(type=openapi.TYPE_BOOLEAN,
|
||||
title=_("Do you want to initiate multiple sessions"),
|
||||
description=_(
|
||||
"Do you want to initiate multiple sessions")),
|
||||
title="关联知识库Id列表", description="关联知识库Id列表"),
|
||||
'multiple_rounds_dialogue': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否开启多轮会话",
|
||||
description="是否开启多轮会话"),
|
||||
'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
|
||||
'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
|
||||
'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem optimization"),
|
||||
description=_("Do you want to enable problem optimization"),
|
||||
default=True)
|
||||
'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="问题优化",
|
||||
description="是否开启问题优化", default=True)
|
||||
}
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_response_body_api():
|
||||
return openapi.Schema(
|
||||
type=openapi.TYPE_STRING,
|
||||
title=_("Conversation ID"),
|
||||
description=_("Conversation ID"),
|
||||
default="chat_id"
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_request_params_api():
|
||||
return [openapi.Parameter(name='application_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='history_day',
|
||||
in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_NUMBER,
|
||||
required=True,
|
||||
description=_('Historical days')),
|
||||
description='历史天数'),
|
||||
openapi.Parameter(name='abstract', in_=openapi.IN_QUERY, type=openapi.TYPE_STRING, required=False,
|
||||
description=_("abstract")),
|
||||
description="摘要"),
|
||||
openapi.Parameter(name='min_star', in_=openapi.IN_QUERY, type=openapi.TYPE_INTEGER, required=False,
|
||||
description=_("Minimum number of likes")),
|
||||
description="最小点赞数"),
|
||||
openapi.Parameter(name='min_trample', in_=openapi.IN_QUERY, type=openapi.TYPE_INTEGER, required=False,
|
||||
description=_("Minimum number of clicks")),
|
||||
description="最小点踩数"),
|
||||
openapi.Parameter(name='comparer', in_=openapi.IN_QUERY, type=openapi.TYPE_STRING, required=False,
|
||||
description=_("or|and comparator")),
|
||||
openapi.Parameter(name='start_time', in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('start time')),
|
||||
openapi.Parameter(name='end_time', in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('End time')),
|
||||
description="or|and 比较器")
|
||||
]
|
||||
|
||||
|
||||
|
|
@ -366,17 +171,12 @@ class ChatRecordApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='chat_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation ID')),
|
||||
openapi.Parameter(name='order_asc',
|
||||
in_=openapi.IN_QUERY,
|
||||
type=openapi.TYPE_BOOLEAN,
|
||||
required=False,
|
||||
description=_('Is it ascending order')),
|
||||
description='对话id'),
|
||||
]
|
||||
|
||||
@staticmethod
|
||||
|
|
@ -389,39 +189,34 @@ class ChatRecordApi(ApiMixin):
|
|||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
|
||||
description="id", default="xx"),
|
||||
'chat': openapi.Schema(type=openapi.TYPE_STRING, title=_("Session log id"),
|
||||
description=_("Conversation log id"), default=_('Conversation log id')),
|
||||
'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title=_("Voting Status"),
|
||||
description=_("Voting Status"), default=_("Voting Status")),
|
||||
'dataset': openapi.Schema(type=openapi.TYPE_STRING, title=_("Dataset id"), description=_("Dataset id"),
|
||||
default=_("Dataset id")),
|
||||
'paragraph': openapi.Schema(type=openapi.TYPE_STRING, title=_("Paragraph id"),
|
||||
description=_("Paragraph id"), default=1),
|
||||
'source_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Resource ID"),
|
||||
description=_("Resource ID"), default=1),
|
||||
'source_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Resource Type"),
|
||||
description=_("Resource Type"), default='xxx'),
|
||||
'message_tokens': openapi.Schema(type=openapi.TYPE_INTEGER,
|
||||
title=_("Number of tokens consumed by the question"),
|
||||
description=_("Number of tokens consumed by the question"), default=0),
|
||||
'answer_tokens': openapi.Schema(type=openapi.TYPE_INTEGER,
|
||||
title=_("The number of tokens consumed by the answer"),
|
||||
description=_("The number of tokens consumed by the answer"),
|
||||
default=0),
|
||||
'improve_paragraph_id_list': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Improved annotation list"),
|
||||
description=_("Improved annotation list"),
|
||||
'chat': openapi.Schema(type=openapi.TYPE_STRING, title="会话日志id",
|
||||
description="会话日志id", default='会话日志id'),
|
||||
'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title="投票状态",
|
||||
description="投票状态", default="投票状态"),
|
||||
'dataset': openapi.Schema(type=openapi.TYPE_STRING, title="数据集id", description="数据集id",
|
||||
default="数据集id"),
|
||||
'paragraph': openapi.Schema(type=openapi.TYPE_STRING, title="段落id",
|
||||
description="段落id", default=1),
|
||||
'source_id': openapi.Schema(type=openapi.TYPE_STRING, title="资源id",
|
||||
description="资源id", default=1),
|
||||
'source_type': openapi.Schema(type=openapi.TYPE_STRING, title="资源类型",
|
||||
description="资源类型", default='xxx'),
|
||||
'message_tokens': openapi.Schema(type=openapi.TYPE_INTEGER, title="问题消耗token数量",
|
||||
description="问题消耗token数量", default=0),
|
||||
'answer_tokens': openapi.Schema(type=openapi.TYPE_INTEGER, title="答案消耗token数量",
|
||||
description="答案消耗token数量", default=0),
|
||||
'improve_paragraph_id_list': openapi.Schema(type=openapi.TYPE_STRING, title="改进标注列表",
|
||||
description="改进标注列表",
|
||||
default=[]),
|
||||
'index': openapi.Schema(type=openapi.TYPE_STRING,
|
||||
title=_("Corresponding session Corresponding subscript"),
|
||||
description=_("Corresponding session id corresponding subscript"),
|
||||
default=0
|
||||
'index': openapi.Schema(type=openapi.TYPE_STRING, title="对应会话 对应下标",
|
||||
description="对应会话id对应下标",
|
||||
default="对应会话id对应下标"
|
||||
),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
|
||||
description=_("Modification time"),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
|
||||
description="修改时间",
|
||||
default="1970-01-01 00:00:00"),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
|
||||
description=_("Creation time"),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
|
||||
description="创建时间",
|
||||
default="1970-01-01 00:00:00"
|
||||
)
|
||||
}
|
||||
|
|
@ -435,27 +230,27 @@ class ImproveApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='chat_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation ID')),
|
||||
description='会话id'),
|
||||
openapi.Parameter(name='chat_record_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation record id')),
|
||||
description='会话记录id'),
|
||||
openapi.Parameter(name='dataset_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Knowledge base id')),
|
||||
description='知识库id'),
|
||||
openapi.Parameter(name='document_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Document id')),
|
||||
description='文档id'),
|
||||
]
|
||||
|
||||
@staticmethod
|
||||
|
|
@ -464,10 +259,10 @@ class ImproveApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['content'],
|
||||
properties={
|
||||
'title': openapi.Schema(type=openapi.TYPE_STRING, title=_("Section title"),
|
||||
description=_("Section title")),
|
||||
'content': openapi.Schema(type=openapi.TYPE_STRING, title=_("Paragraph content"),
|
||||
description=_("Paragraph content"))
|
||||
'title': openapi.Schema(type=openapi.TYPE_STRING, title="段落标题",
|
||||
description="段落标题"),
|
||||
'content': openapi.Schema(type=openapi.TYPE_STRING, title="段落内容",
|
||||
description="段落内容")
|
||||
|
||||
}
|
||||
)
|
||||
|
|
@ -478,12 +273,12 @@ class ImproveApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['dataset_id', 'document_id', 'chat_ids'],
|
||||
properties={
|
||||
'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Knowledge base id"),
|
||||
description=_("Knowledge base id")),
|
||||
'document_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Document id"),
|
||||
description=_("Document id")),
|
||||
'chat_ids': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("Conversation id list"),
|
||||
description=_("Conversation id list"),
|
||||
'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title="知识库id",
|
||||
description="知识库id"),
|
||||
'document_id': openapi.Schema(type=openapi.TYPE_STRING, title="文档id",
|
||||
description="文档id"),
|
||||
'chat_ids': openapi.Schema(type=openapi.TYPE_ARRAY, title="会话id列表",
|
||||
description="会话id列表",
|
||||
items=openapi.Schema(type=openapi.TYPE_STRING))
|
||||
|
||||
}
|
||||
|
|
@ -495,12 +290,12 @@ class ImproveApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='dataset_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Knowledge base id')),
|
||||
description='知识库id'),
|
||||
|
||||
]
|
||||
|
||||
|
|
@ -512,17 +307,17 @@ class VoteApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='chat_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation ID')),
|
||||
description='会话id'),
|
||||
openapi.Parameter(name='chat_record_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation record id'))
|
||||
description='会话记录id')
|
||||
]
|
||||
|
||||
@staticmethod
|
||||
|
|
@ -531,8 +326,8 @@ class VoteApi(ApiMixin):
|
|||
type=openapi.TYPE_OBJECT,
|
||||
required=['vote_status'],
|
||||
properties={
|
||||
'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title=_("Voting Status"),
|
||||
description=_("-1: Cancel vote | 0: Agree | 1: Oppose")),
|
||||
'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title="投票状态",
|
||||
description="-1:取消投票|0:赞同|1:反对"),
|
||||
|
||||
}
|
||||
)
|
||||
|
|
@ -545,17 +340,17 @@ class ChatRecordImproveApi(ApiMixin):
|
|||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
description='应用id'),
|
||||
openapi.Parameter(name='chat_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation ID')),
|
||||
description='会话id'),
|
||||
openapi.Parameter(name='chat_record_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation record id'))
|
||||
description='会话记录id')
|
||||
]
|
||||
|
||||
@staticmethod
|
||||
|
|
@ -568,28 +363,27 @@ class ChatRecordImproveApi(ApiMixin):
|
|||
properties={
|
||||
'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
|
||||
description="id", default="xx"),
|
||||
'content': openapi.Schema(type=openapi.TYPE_STRING, title=_("Paragraph content"),
|
||||
description=_("Paragraph content"), default=_('Paragraph content')),
|
||||
'title': openapi.Schema(type=openapi.TYPE_STRING, title=_("title"),
|
||||
description=_("title"), default=_("Description of xxx")),
|
||||
'hit_num': openapi.Schema(type=openapi.TYPE_INTEGER, title=_("Number of hits"),
|
||||
description=_("Number of hits"),
|
||||
'content': openapi.Schema(type=openapi.TYPE_STRING, title="段落内容",
|
||||
description="段落内容", default='段落内容'),
|
||||
'title': openapi.Schema(type=openapi.TYPE_STRING, title="标题",
|
||||
description="标题", default="xxx的描述"),
|
||||
'hit_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="命中数量", description="命中数量",
|
||||
default=1),
|
||||
'star_num': openapi.Schema(type=openapi.TYPE_INTEGER, title=_("Number of Likes"),
|
||||
description=_("Number of Likes"), default=1),
|
||||
'trample_num': openapi.Schema(type=openapi.TYPE_INTEGER, title=_("Number of thumbs-downs"),
|
||||
description=_("Number of thumbs-downs"), default=1),
|
||||
'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Knowledge base id"),
|
||||
description=_("Knowledge base id"), default='xxx'),
|
||||
'document_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Document id"),
|
||||
description=_("Document id"), default='xxx'),
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Availability"),
|
||||
description=_("Availability"), default=True),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
|
||||
description=_("Modification time"),
|
||||
'star_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点赞数量",
|
||||
description="点赞数量", default=1),
|
||||
'trample_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点踩数量",
|
||||
description="点踩数", default=1),
|
||||
'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title="知识库id",
|
||||
description="知识库id", default='xxx'),
|
||||
'document_id': openapi.Schema(type=openapi.TYPE_STRING, title="文档id",
|
||||
description="文档id", default='xxx'),
|
||||
'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否可用",
|
||||
description="是否可用", default=True),
|
||||
'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
|
||||
description="修改时间",
|
||||
default="1970-01-01 00:00:00"),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
|
||||
description=_("Creation time"),
|
||||
'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
|
||||
description="创建时间",
|
||||
default="1970-01-01 00:00:00"
|
||||
)
|
||||
}
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@ urlpatterns = [
|
|||
path('application/profile', views.Application.Profile.as_view(), name='application/profile'),
|
||||
path('application/embed', views.Application.Embed.as_view()),
|
||||
path('application/authentication', views.Application.Authentication.as_view()),
|
||||
path('application/mcp_servers', views.Application.McpServers.as_view()),
|
||||
path('application/<str:application_id>/publish', views.Application.Publish.as_view()),
|
||||
path('application/<str:application_id>/edit_icon', views.Application.EditIcon.as_view()),
|
||||
path('application/<str:application_id>/export', views.Application.Export.as_view()),
|
||||
|
|
|
|||
|
|
@ -13,24 +13,21 @@ from rest_framework.views import APIView
|
|||
|
||||
from application.serializers.application_version_serializers import ApplicationVersionSerializer
|
||||
from application.swagger_api.application_version_api import ApplicationVersionApi
|
||||
from application.views import get_application_operation_object
|
||||
from common.auth import has_permissions, TokenAuth
|
||||
from common.constants.permission_constants import PermissionConstants, CompareConstants, ViewPermission, RoleConstants, \
|
||||
Permission, Group, Operate
|
||||
from common.log.log import log
|
||||
from common.response import result
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ApplicationVersionView(APIView):
|
||||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the application list"),
|
||||
operation_id=_("Get the application list"),
|
||||
@swagger_auto_schema(operation_summary="获取应用列表",
|
||||
operation_id="获取应用列表",
|
||||
manual_parameters=ApplicationVersionApi.Query.get_request_params_api(),
|
||||
responses=result.get_api_array_response(ApplicationVersionApi.get_response_body_api()),
|
||||
tags=[_('Application/Version')])
|
||||
tags=['应用/版本'])
|
||||
@has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
|
||||
def get(self, request: Request, application_id: str):
|
||||
return result.success(
|
||||
|
|
@ -42,12 +39,12 @@ class ApplicationVersionView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the list of application versions by page"),
|
||||
operation_id=_("Get the list of application versions by page"),
|
||||
@swagger_auto_schema(operation_summary="分页获取应用版本列表",
|
||||
operation_id="分页获取应用版本列表",
|
||||
manual_parameters=result.get_page_request_params(
|
||||
ApplicationVersionApi.Query.get_request_params_api()),
|
||||
responses=result.get_page_api_response(ApplicationVersionApi.get_response_body_api()),
|
||||
tags=[_('Application/Version')])
|
||||
tags=['应用/版本'])
|
||||
@has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
|
||||
def get(self, request: Request, application_id: str, current_page: int, page_size: int):
|
||||
return result.success(
|
||||
|
|
@ -60,11 +57,11 @@ class ApplicationVersionView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get application version details"),
|
||||
operation_id=_("Get application version details"),
|
||||
@swagger_auto_schema(operation_summary="获取应用版本详情",
|
||||
operation_id="获取应用版本详情",
|
||||
manual_parameters=ApplicationVersionApi.Operate.get_request_params_api(),
|
||||
responses=result.get_api_response(ApplicationVersionApi.get_response_body_api()),
|
||||
tags=[_('Application/Version')])
|
||||
tags=['应用/版本'])
|
||||
@has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
|
||||
def get(self, request: Request, application_id: str, work_flow_version_id: str):
|
||||
return result.success(
|
||||
|
|
@ -73,19 +70,17 @@ class ApplicationVersionView(APIView):
|
|||
'application_id': application_id, 'work_flow_version_id': work_flow_version_id}).one())
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Modify application version information"),
|
||||
operation_id=_("Modify application version information"),
|
||||
@swagger_auto_schema(operation_summary="修改应用版本信息",
|
||||
operation_id="修改应用版本信息",
|
||||
manual_parameters=ApplicationVersionApi.Operate.get_request_params_api(),
|
||||
request_body=ApplicationVersionApi.Edit.get_request_body_api(),
|
||||
responses=result.get_api_response(ApplicationVersionApi.get_response_body_api()),
|
||||
tags=[_('Application/Version')])
|
||||
tags=['应用/版本'])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND))
|
||||
@log(menu='Application', operate="Modify application version information",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str, work_flow_version_id: str):
|
||||
return result.success(
|
||||
ApplicationVersionSerializer.Operate(
|
||||
|
|
|
|||
|
|
@ -9,9 +9,7 @@
|
|||
|
||||
from django.core import cache
|
||||
from django.http import HttpResponse
|
||||
from django.utils.translation import gettext_lazy as _, gettext
|
||||
from drf_yasg.utils import swagger_auto_schema
|
||||
from langchain_core.prompts import PromptTemplate
|
||||
from rest_framework.decorators import action
|
||||
from rest_framework.parsers import MultiPartParser
|
||||
from rest_framework.request import Request
|
||||
|
|
@ -21,12 +19,10 @@ from application.serializers.application_serializers import ApplicationSerialize
|
|||
from application.serializers.application_statistics_serializers import ApplicationStatisticsSerializer
|
||||
from application.swagger_api.application_api import ApplicationApi
|
||||
from application.swagger_api.application_statistics_api import ApplicationStatisticsApi
|
||||
from application.views.common import get_application_operation_object
|
||||
from common.auth import TokenAuth, has_permissions
|
||||
from common.constants.permission_constants import CompareConstants, PermissionConstants, Permission, Group, Operate, \
|
||||
ViewPermission, RoleConstants
|
||||
from common.exception.app_exception import AppAuthenticationFailed
|
||||
from common.log.log import log
|
||||
from common.response import result
|
||||
from common.swagger_api.common_api import CommonApi
|
||||
from common.util.common import query_params_to_single_dict
|
||||
|
|
@ -40,9 +36,9 @@ class ApplicationStatistics(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("User Statistics"),
|
||||
operation_id=_("User Statistics"),
|
||||
tags=[_("Application/Statistics")],
|
||||
@swagger_auto_schema(operation_summary="用户统计",
|
||||
operation_id="用户统计",
|
||||
tags=["应用/统计"],
|
||||
manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
|
||||
responses=result.get_api_response(
|
||||
ApplicationStatisticsApi.CustomerCount.get_response_body_api())
|
||||
|
|
@ -65,9 +61,9 @@ class ApplicationStatistics(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("User demographic trends"),
|
||||
operation_id=_("User demographic trends"),
|
||||
tags=[_("Application/Statistics")],
|
||||
@swagger_auto_schema(operation_summary="用户统计趋势",
|
||||
operation_id="用户统计趋势",
|
||||
tags=["应用/统计"],
|
||||
manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
|
||||
responses=result.get_api_array_response(
|
||||
ApplicationStatisticsApi.CustomerCountTrend.get_response_body_api()))
|
||||
|
|
@ -89,9 +85,9 @@ class ApplicationStatistics(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Conversation statistics"),
|
||||
operation_id=_("Conversation statistics"),
|
||||
tags=[_("Application/Statistics")],
|
||||
@swagger_auto_schema(operation_summary="对话相关统计",
|
||||
operation_id="对话相关统计",
|
||||
tags=["应用/统计"],
|
||||
manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
|
||||
responses=result.get_api_response(
|
||||
ApplicationStatisticsApi.ChatRecordAggregate.get_response_body_api())
|
||||
|
|
@ -114,9 +110,9 @@ class ApplicationStatistics(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Dialogue-related statistical trends"),
|
||||
operation_id=_("Dialogue-related statistical trends"),
|
||||
tags=[_("Application/Statistics")],
|
||||
@swagger_auto_schema(operation_summary="对话相关统计趋势",
|
||||
operation_id="对话相关统计趋势",
|
||||
tags=["应用/统计"],
|
||||
manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
|
||||
responses=result.get_api_array_response(
|
||||
ApplicationStatisticsApi.ChatRecordAggregate.get_response_body_api())
|
||||
|
|
@ -144,9 +140,9 @@ class Application(APIView):
|
|||
parser_classes = [MultiPartParser]
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Modify application icon"),
|
||||
operation_id=_("Modify application icon"),
|
||||
tags=[_('Application')],
|
||||
@swagger_auto_schema(operation_summary="修改应用icon",
|
||||
operation_id="修改应用icon",
|
||||
tags=['应用'],
|
||||
manual_parameters=ApplicationApi.EditApplicationIcon.get_request_params_api(),
|
||||
request_body=ApplicationApi.Operate.get_request_body_api())
|
||||
@has_permissions(ViewPermission(
|
||||
|
|
@ -155,8 +151,6 @@ class Application(APIView):
|
|||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND), PermissionConstants.APPLICATION_EDIT,
|
||||
compare=CompareConstants.AND)
|
||||
@log(menu='Application', operate="Modify application icon",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str):
|
||||
return result.success(
|
||||
ApplicationSerializer.IconOperate(
|
||||
|
|
@ -167,13 +161,12 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
parser_classes = [MultiPartParser]
|
||||
|
||||
@action(methods="POST", detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Import Application"), operation_id=_("Import Application"),
|
||||
@action(methods="GET", detail=False)
|
||||
@swagger_auto_schema(operation_summary="导入应用", operation_id="导入应用",
|
||||
manual_parameters=ApplicationApi.Import.get_request_params_api(),
|
||||
tags=[_("Application")]
|
||||
tags=["应用"]
|
||||
)
|
||||
@has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
|
||||
@log(menu='Application', operate="Import Application")
|
||||
def post(self, request: Request):
|
||||
return result.success(ApplicationSerializer.Import(
|
||||
data={'user_id': request.user.id, 'file': request.FILES.get('file')}).import_())
|
||||
|
|
@ -182,23 +175,21 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods="GET", detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Export Application"), operation_id=_("Export Application"),
|
||||
@swagger_auto_schema(operation_summary="导出应用", operation_id="导出应用",
|
||||
manual_parameters=ApplicationApi.Export.get_request_params_api(),
|
||||
tags=[_("Application")]
|
||||
tags=["应用"]
|
||||
)
|
||||
@has_permissions(lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id')))
|
||||
@log(menu='Application', operate="Export Application",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def get(self, request: Request, application_id: str):
|
||||
return ApplicationSerializer.Operate(
|
||||
data={'application_id': application_id, 'user_id': request.user.id}).export()
|
||||
|
||||
class Embed(APIView):
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get embedded js"),
|
||||
operation_id=_("Get embedded js"),
|
||||
tags=[_("Application")],
|
||||
@swagger_auto_schema(operation_summary="获取嵌入js",
|
||||
operation_id="获取嵌入js",
|
||||
tags=["应用"],
|
||||
manual_parameters=ApplicationApi.ApiKey.get_request_params_api())
|
||||
def get(self, request: Request):
|
||||
return ApplicationSerializer.Embed(
|
||||
|
|
@ -209,9 +200,9 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get a list of models"),
|
||||
operation_id=_("Get a list of models"),
|
||||
tags=[_("Application")],
|
||||
@swagger_auto_schema(operation_summary="获取模型列表",
|
||||
operation_id="获取模型列表",
|
||||
tags=["应用"],
|
||||
manual_parameters=ApplicationApi.Model.get_request_params_api())
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -228,9 +219,9 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get model parameter form"),
|
||||
operation_id=_("Get model parameter form"),
|
||||
tags=[_("Application")])
|
||||
@swagger_auto_schema(operation_summary="获取模型参数表单",
|
||||
operation_id="获取模型参数表单",
|
||||
tags=["模型"])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
|
||||
|
|
@ -246,9 +237,9 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get a list of function libraries"),
|
||||
operation_id=_("Get a list of function libraries"),
|
||||
tags=[_("Application")])
|
||||
@swagger_auto_schema(operation_summary="获取函数库列表",
|
||||
operation_id="获取函数库列表",
|
||||
tags=["应用"])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
|
||||
|
|
@ -264,9 +255,9 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get library details"),
|
||||
operation_id=_("Get library details"),
|
||||
tags=[_("Application")],
|
||||
@swagger_auto_schema(operation_summary="获取函数库列表",
|
||||
operation_id="获取函数库列表",
|
||||
tags=["应用"],
|
||||
)
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -283,9 +274,9 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the list of apps created by the current user"),
|
||||
operation_id=_("Get the list of apps created by the current user"),
|
||||
tags=[_("Application/Chat")])
|
||||
@swagger_auto_schema(operation_summary="获取当前人创建的应用列表",
|
||||
operation_id="获取当前人创建的应用列表",
|
||||
tags=["应用/会话"])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
|
||||
|
|
@ -301,9 +292,9 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=["GET"], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get application data"),
|
||||
operation_id=_("Get application data"),
|
||||
tags=[_("Application")],
|
||||
@swagger_auto_schema(operation_summary="获取应用数据",
|
||||
operation_id="获取应用数据",
|
||||
tags=["应用"],
|
||||
)
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -320,9 +311,9 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get application related information"),
|
||||
operation_id=_("Get application related information"),
|
||||
tags=[_("Application/Chat")])
|
||||
@swagger_auto_schema(operation_summary="获取应用相关信息",
|
||||
operation_id="获取应用相关信息",
|
||||
tags=["应用/会话"])
|
||||
def get(self, request: Request):
|
||||
if 'application_id' in request.auth.keywords:
|
||||
return result.success(ApplicationSerializer.Operate(
|
||||
|
|
@ -334,26 +325,24 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Add ApiKey"),
|
||||
operation_id=_("Add ApiKey"),
|
||||
tags=[_('Application/API_KEY')],
|
||||
@swagger_auto_schema(operation_summary="新增ApiKey",
|
||||
operation_id="新增ApiKey",
|
||||
tags=['应用/API_KEY'],
|
||||
manual_parameters=ApplicationApi.ApiKey.get_request_params_api())
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND))
|
||||
@log(menu='Application', operate="Add ApiKey",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def post(self, request: Request, application_id: str):
|
||||
return result.success(
|
||||
ApplicationSerializer.ApplicationKeySerializer(
|
||||
data={'application_id': application_id, 'user_id': request.user.id}).generate())
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the application API_KEY list"),
|
||||
operation_id=_("Get the application API_KEY list"),
|
||||
tags=[_('Application/API_KEY')],
|
||||
@swagger_auto_schema(operation_summary="获取应用API_KEY列表",
|
||||
operation_id="获取应用API_KEY列表",
|
||||
tags=['应用/API_KEY'],
|
||||
manual_parameters=ApplicationApi.ApiKey.get_request_params_api()
|
||||
)
|
||||
@has_permissions(ViewPermission(
|
||||
|
|
@ -369,20 +358,17 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Modify application API_KEY"),
|
||||
operation_id=_("Modify application API_KEY"),
|
||||
tags=[_('Application/API_KEY')],
|
||||
@swagger_auto_schema(operation_summary="修改应用API_KEY",
|
||||
operation_id="修改应用API_KEY",
|
||||
tags=['应用/API_KEY'],
|
||||
manual_parameters=ApplicationApi.ApiKey.Operate.get_request_params_api(),
|
||||
request_body=ApplicationApi.ApiKey.Operate.get_request_body_api(),
|
||||
responses=result.get_api_response(ApplicationApi.ApiKey.Operate.get_response_body_api()))
|
||||
request_body=ApplicationApi.ApiKey.Operate.get_request_body_api())
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND), PermissionConstants.APPLICATION_EDIT,
|
||||
compare=CompareConstants.AND)
|
||||
@log(menu='Application', operate="Modify application API_KEY",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str, api_key_id: str):
|
||||
return result.success(
|
||||
ApplicationSerializer.ApplicationKeySerializer.Operate(
|
||||
|
|
@ -390,9 +376,9 @@ class Application(APIView):
|
|||
'api_key_id': api_key_id}).edit(request.data))
|
||||
|
||||
@action(methods=['DELETE'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Delete Application API_KEY"),
|
||||
operation_id=_("Delete Application API_KEY"),
|
||||
tags=[_('Application/API_KEY')],
|
||||
@swagger_auto_schema(operation_summary="删除应用API_KEY",
|
||||
operation_id="删除应用API_KEY",
|
||||
tags=['应用/API_KEY'],
|
||||
manual_parameters=ApplicationApi.ApiKey.Operate.get_request_params_api())
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -400,8 +386,6 @@ class Application(APIView):
|
|||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND), PermissionConstants.APPLICATION_DELETE,
|
||||
compare=CompareConstants.AND)
|
||||
@log(menu='Application', operate="Delete Application API_KEY",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def delete(self, request: Request, application_id: str, api_key_id: str):
|
||||
return result.success(
|
||||
ApplicationSerializer.ApplicationKeySerializer.Operate(
|
||||
|
|
@ -412,29 +396,26 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Modify Application AccessToken"),
|
||||
operation_id=_("Modify Application AccessToken"),
|
||||
tags=[_('Application/Public Access')],
|
||||
@swagger_auto_schema(operation_summary="修改 应用AccessToken",
|
||||
operation_id="修改 应用AccessToken",
|
||||
tags=['应用/公开访问'],
|
||||
manual_parameters=ApplicationApi.AccessToken.get_request_params_api(),
|
||||
request_body=ApplicationApi.AccessToken.get_request_body_api(),
|
||||
responses=result.get_api_response(ApplicationApi.AccessToken.get_response_body_api()))
|
||||
request_body=ApplicationApi.AccessToken.get_request_body_api())
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND))
|
||||
@log(menu='Application', operate="Modify Application AccessToken",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str):
|
||||
return result.success(
|
||||
ApplicationSerializer.AccessTokenSerializer(data={'application_id': application_id}).edit(
|
||||
request.data))
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the application AccessToken information"),
|
||||
operation_id=_("Get the application AccessToken information"),
|
||||
@swagger_auto_schema(operation_summary="获取应用 AccessToken信息",
|
||||
operation_id="获取应用 AccessToken信息",
|
||||
manual_parameters=ApplicationApi.AccessToken.get_request_params_api(),
|
||||
tags=[_('Application/Public Access')],
|
||||
tags=['应用/公开访问'],
|
||||
)
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -454,11 +435,10 @@ class Application(APIView):
|
|||
"Access-Control-Allow-Headers": "Origin,Content-Type,Cookie,Accept,Token"}, )
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Application Certification"),
|
||||
operation_id=_("Application Certification"),
|
||||
@swagger_auto_schema(operation_summary="应用认证",
|
||||
operation_id="应用认证",
|
||||
request_body=ApplicationApi.Authentication.get_request_body_api(),
|
||||
responses=result.get_api_response(ApplicationApi.Authentication.get_response_body_api()),
|
||||
tags=[_("Application/Certification")],
|
||||
tags=["应用/认证"],
|
||||
security=[])
|
||||
def post(self, request: Request):
|
||||
return result.success(
|
||||
|
|
@ -472,23 +452,20 @@ class Application(APIView):
|
|||
)
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Create an application"),
|
||||
operation_id=_("Create an application"),
|
||||
@swagger_auto_schema(operation_summary="创建应用",
|
||||
operation_id="创建应用",
|
||||
request_body=ApplicationApi.Create.get_request_body_api(),
|
||||
responses=result.get_api_response(ApplicationApi.Create.get_response_body_api()),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(PermissionConstants.APPLICATION_CREATE, compare=CompareConstants.AND)
|
||||
@log(menu='Application', operate="Create an application",
|
||||
get_operation_object=lambda r, k: {'name': r.data.get('name')})
|
||||
def post(self, request: Request):
|
||||
return result.success(ApplicationSerializer.Create(data={'user_id': request.user.id}).insert(request.data))
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the application list"),
|
||||
operation_id=_("Get the application list"),
|
||||
@swagger_auto_schema(operation_summary="获取应用列表",
|
||||
operation_id="获取应用列表",
|
||||
manual_parameters=ApplicationApi.Query.get_request_params_api(),
|
||||
responses=result.get_api_array_response(ApplicationApi.get_response_body_api()),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
|
||||
def get(self, request: Request):
|
||||
return result.success(
|
||||
|
|
@ -499,10 +476,10 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods="GET", detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Hit Test List"), operation_id=_("Hit Test List"),
|
||||
@swagger_auto_schema(operation_summary="命中测试列表", operation_id="命中测试列表",
|
||||
manual_parameters=CommonApi.HitTestApi.get_request_params_api(),
|
||||
responses=result.get_api_array_response(CommonApi.HitTestApi.get_response_body_api()),
|
||||
tags=[_("Application")])
|
||||
tags=["应用"])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN,
|
||||
RoleConstants.APPLICATION_KEY],
|
||||
|
|
@ -523,19 +500,17 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Publishing an application"),
|
||||
operation_id=_("Publishing an application"),
|
||||
@swagger_auto_schema(operation_summary="发布应用",
|
||||
operation_id="发布应用",
|
||||
manual_parameters=ApplicationApi.Operate.get_request_params_api(),
|
||||
request_body=ApplicationApi.Publish.get_request_body_api(),
|
||||
responses=result.get_default_response(),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND))
|
||||
@log(menu='Application', operate="Publishing an application",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str):
|
||||
return result.success(
|
||||
ApplicationSerializer.Operate(
|
||||
|
|
@ -545,11 +520,11 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['DELETE'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Deleting application"),
|
||||
operation_id=_("Deleting application"),
|
||||
@swagger_auto_schema(operation_summary="删除应用",
|
||||
operation_id="删除应用",
|
||||
manual_parameters=ApplicationApi.Operate.get_request_params_api(),
|
||||
responses=result.get_default_response(),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
|
|
@ -557,27 +532,23 @@ class Application(APIView):
|
|||
compare=CompareConstants.AND),
|
||||
lambda r, k: Permission(group=Group.APPLICATION, operate=Operate.DELETE,
|
||||
dynamic_tag=k.get('application_id')), compare=CompareConstants.AND)
|
||||
@log(menu='Application', operate="Deleting application",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def delete(self, request: Request, application_id: str):
|
||||
return result.success(ApplicationSerializer.Operate(
|
||||
data={'application_id': application_id, 'user_id': request.user.id}).delete(
|
||||
with_valid=True))
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Modify the application"),
|
||||
operation_id=_("Modify the application"),
|
||||
@swagger_auto_schema(operation_summary="修改应用",
|
||||
operation_id="修改应用",
|
||||
manual_parameters=ApplicationApi.Operate.get_request_params_api(),
|
||||
request_body=ApplicationApi.Edit.get_request_body_api(),
|
||||
responses=result.get_api_array_response(ApplicationApi.get_response_body_api()),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND))
|
||||
@log(menu='Application', operate="Modify the application",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str):
|
||||
return result.success(
|
||||
ApplicationSerializer.Operate(
|
||||
|
|
@ -585,11 +556,11 @@ class Application(APIView):
|
|||
request.data))
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get application details"),
|
||||
operation_id=_("Get application details"),
|
||||
@swagger_auto_schema(operation_summary="获取应用详情",
|
||||
operation_id="获取应用详情",
|
||||
manual_parameters=ApplicationApi.Operate.get_request_params_api(),
|
||||
responses=result.get_api_array_response(ApplicationApi.get_response_body_api()),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN,
|
||||
RoleConstants.APPLICATION_KEY],
|
||||
|
|
@ -604,12 +575,12 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the knowledge base available to the current application"),
|
||||
operation_id=_("Get the knowledge base available to the current application"),
|
||||
@swagger_auto_schema(operation_summary="获取当前应用可使用的知识库",
|
||||
operation_id="获取当前应用可使用的知识库",
|
||||
manual_parameters=ApplicationApi.Operate.get_request_params_api(),
|
||||
responses=result.get_api_array_response(
|
||||
DataSetSerializers.Query.get_response_body_api()),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION,
|
||||
operate=Operate.USE,
|
||||
|
|
@ -624,12 +595,12 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the application list by page"),
|
||||
operation_id=_("Get the application list by page"),
|
||||
@swagger_auto_schema(operation_summary="分页获取应用列表",
|
||||
operation_id="分页获取应用列表",
|
||||
manual_parameters=result.get_page_request_params(
|
||||
ApplicationApi.Query.get_request_params_api()),
|
||||
responses=result.get_page_api_response(ApplicationApi.get_response_body_api()),
|
||||
tags=[_('Application')])
|
||||
tags=['应用'])
|
||||
@has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
|
||||
def get(self, request: Request, current_page: int, page_size: int):
|
||||
return result.success(
|
||||
|
|
@ -657,12 +628,6 @@ class Application(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("text to speech"),
|
||||
operation_id=_("text to speech"),
|
||||
manual_parameters=ApplicationApi.TextToSpeech.get_request_params_api(),
|
||||
request_body=ApplicationApi.TextToSpeech.get_request_body_api(),
|
||||
responses=result.get_default_response(),
|
||||
tags=[_('Application')])
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION,
|
||||
|
|
@ -688,19 +653,8 @@ class Application(APIView):
|
|||
dynamic_tag=keywords.get(
|
||||
'application_id'))],
|
||||
compare=CompareConstants.AND))
|
||||
@log(menu='Application', operate="trial listening",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def post(self, request: Request, application_id: str):
|
||||
byte_data = ApplicationSerializer.Operate(
|
||||
data={'application_id': application_id, 'user_id': request.user.id}).play_demo_text(request.data)
|
||||
return HttpResponse(byte_data, status=200, headers={'Content-Type': 'audio/mp3',
|
||||
'Content-Disposition': 'attachment; filename="abc.mp3"'})
|
||||
|
||||
class McpServers(APIView):
|
||||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
|
||||
def get(self, request: Request):
|
||||
return result.success(ApplicationSerializer.McpServers(
|
||||
data={'mcp_servers': request.query_params.get('mcp_servers')}).get_mcp_servers())
|
||||
|
|
|
|||
|
|
@ -7,11 +7,8 @@
|
|||
@desc:
|
||||
"""
|
||||
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
from drf_yasg import openapi
|
||||
from drf_yasg.utils import swagger_auto_schema
|
||||
from rest_framework.decorators import action
|
||||
from rest_framework.parsers import MultiPartParser
|
||||
from rest_framework.request import Request
|
||||
from rest_framework.views import APIView
|
||||
|
||||
|
|
@ -19,12 +16,10 @@ from application.serializers.chat_message_serializers import ChatMessageSerializ
|
|||
from application.serializers.chat_serializers import ChatSerializers, ChatRecordSerializer
|
||||
from application.swagger_api.chat_api import ChatApi, VoteApi, ChatRecordApi, ImproveApi, ChatRecordImproveApi, \
|
||||
ChatClientHistoryApi, OpenAIChatApi
|
||||
from application.views import get_application_operation_object
|
||||
from common.auth import TokenAuth, has_permissions, OpenAIKeyAuth
|
||||
from common.constants.authentication_type import AuthenticationType
|
||||
from common.constants.permission_constants import Permission, Group, Operate, \
|
||||
RoleConstants, ViewPermission, CompareConstants
|
||||
from common.log.log import log
|
||||
from common.response import result
|
||||
from common.util.common import query_params_to_single_dict
|
||||
from dataset.serializers.file_serializers import FileSerializer
|
||||
|
|
@ -34,11 +29,10 @@ class Openai(APIView):
|
|||
authentication_classes = [OpenAIKeyAuth]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("OpenAI Interface Dialogue"),
|
||||
operation_id=_("OpenAI Interface Dialogue"),
|
||||
@swagger_auto_schema(operation_summary="openai接口对话",
|
||||
operation_id="openai接口对话",
|
||||
request_body=OpenAIChatApi.get_request_body_api(),
|
||||
responses=OpenAIChatApi.get_response_body_api(),
|
||||
tags=[_("OpenAI Dialogue")])
|
||||
tags=["openai对话"])
|
||||
def post(self, request: Request, application_id: str):
|
||||
return OpenAIChatSerializer(data={'application_id': application_id, 'client_id': request.auth.client_id,
|
||||
'client_type': request.auth.client_type}).chat(request.data)
|
||||
|
|
@ -51,18 +45,16 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Export conversation"),
|
||||
operation_id=_("Export conversation"),
|
||||
@swagger_auto_schema(operation_summary="导出对话",
|
||||
operation_id="导出对话",
|
||||
manual_parameters=ChatApi.get_request_params_api(),
|
||||
tags=[_("Application/Conversation Log")]
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
|
||||
dynamic_tag=keywords.get('application_id'))])
|
||||
)
|
||||
@log(menu='Conversation Log', operate="Export conversation",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def post(self, request: Request, application_id: str):
|
||||
return ChatSerializers.Query(
|
||||
data={**query_params_to_single_dict(request.query_params), 'application_id': application_id,
|
||||
|
|
@ -72,10 +64,10 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the session id according to the application id"),
|
||||
operation_id=_("Get the session id according to the application id"),
|
||||
@swagger_auto_schema(operation_summary="获取会话id,根据应用id",
|
||||
operation_id="获取会话id,根据应用id",
|
||||
manual_parameters=ChatApi.OpenChat.get_request_params_api(),
|
||||
tags=[_("Application/Chat")])
|
||||
tags=["应用/会话"])
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN,
|
||||
RoleConstants.APPLICATION_KEY],
|
||||
|
|
@ -91,24 +83,22 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the workflow temporary session id"),
|
||||
operation_id=_("Get the workflow temporary session id"),
|
||||
@swagger_auto_schema(operation_summary="获取工作流临时会话id",
|
||||
operation_id="获取工作流临时会话id",
|
||||
request_body=ChatApi.OpenWorkFlowTemp.get_request_body_api(),
|
||||
responses=result.get_api_response(ChatApi.OpenTempChat.get_response_body_api()),
|
||||
tags=[_("Application/Chat")])
|
||||
tags=["应用/会话"])
|
||||
def post(self, request: Request):
|
||||
return result.success(ChatSerializers.OpenWorkFlowChat(
|
||||
data={'user_id': request.user.id, **request.data}).open())
|
||||
data={**request.data, 'user_id': request.user.id}).open())
|
||||
|
||||
class OpenTemp(APIView):
|
||||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get a temporary session id"),
|
||||
operation_id=_("Get a temporary session id"),
|
||||
@swagger_auto_schema(operation_summary="获取会话id(根据模型id,知识库列表,是否多轮会话)",
|
||||
operation_id="获取会话id",
|
||||
request_body=ChatApi.OpenTempChat.get_request_body_api(),
|
||||
responses=result.get_api_response(ChatApi.OpenTempChat.get_response_body_api()),
|
||||
tags=[_("Application/Chat")])
|
||||
tags=["应用/会话"])
|
||||
@has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
|
||||
def post(self, request: Request):
|
||||
return result.success(ChatSerializers.OpenTempChat(
|
||||
|
|
@ -118,10 +108,10 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("dialogue"),
|
||||
operation_id=_("dialogue"),
|
||||
@swagger_auto_schema(operation_summary="对话",
|
||||
operation_id="对话",
|
||||
request_body=ChatApi.get_request_body_api(),
|
||||
tags=[_("Application/Chat")])
|
||||
tags=["应用/会话"])
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,
|
||||
RoleConstants.APPLICATION_ACCESS_TOKEN],
|
||||
|
|
@ -146,8 +136,6 @@ class ChatView(APIView):
|
|||
'document_list') if 'document_list' in request.data else [],
|
||||
'audio_list': request.data.get(
|
||||
'audio_list') if 'audio_list' in request.data else [],
|
||||
'other_list': request.data.get(
|
||||
'other_list') if 'other_list' in request.data else [],
|
||||
'client_type': request.auth.client_type,
|
||||
'node_id': request.data.get('node_id', None),
|
||||
'runtime_node_id': request.data.get('runtime_node_id', None),
|
||||
|
|
@ -157,11 +145,11 @@ class ChatView(APIView):
|
|||
).chat()
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the conversation list"),
|
||||
operation_id=_("Get the conversation list"),
|
||||
@swagger_auto_schema(operation_summary="获取对话列表",
|
||||
operation_id="获取对话列表",
|
||||
manual_parameters=ChatApi.get_request_params_api(),
|
||||
responses=result.get_api_array_response(ChatApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log")]
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
|
||||
|
|
@ -177,17 +165,15 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['DELETE'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Delete a conversation"),
|
||||
operation_id=_("Delete a conversation"),
|
||||
tags=[_("Application/Conversation Log")])
|
||||
@swagger_auto_schema(operation_summary="删除对话",
|
||||
operation_id="删除对话",
|
||||
tags=["应用/对话日志"])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND),
|
||||
compare=CompareConstants.AND)
|
||||
@log(menu='Conversation Log', operate="Delete a conversation",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def delete(self, request: Request, application_id: str, chat_id: str):
|
||||
return result.success(
|
||||
ChatSerializers.Operate(
|
||||
|
|
@ -198,12 +184,12 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get client conversation list by paging"),
|
||||
operation_id=_("Get client conversation list by paging"),
|
||||
@swagger_auto_schema(operation_summary="分页获取客户端对话列表",
|
||||
operation_id="分页获取客户端对话列表",
|
||||
manual_parameters=result.get_page_request_params(
|
||||
ChatClientHistoryApi.get_request_params_api()),
|
||||
responses=result.get_page_api_response(ChatApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log")]
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.APPLICATION_ACCESS_TOKEN],
|
||||
|
|
@ -220,52 +206,30 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['DELETE'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Client deletes conversation"),
|
||||
operation_id=_("Client deletes conversation"),
|
||||
tags=[_("Application/Conversation Log")])
|
||||
@swagger_auto_schema(operation_summary="客户端删除对话",
|
||||
operation_id="客户端删除对话",
|
||||
tags=["应用/对话日志"])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.APPLICATION_ACCESS_TOKEN],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND),
|
||||
compare=CompareConstants.AND)
|
||||
@log(menu='Conversation Log', operate="Client deletes conversation",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def delete(self, request: Request, application_id: str, chat_id: str):
|
||||
return result.success(
|
||||
ChatSerializers.Operate(
|
||||
data={'application_id': application_id, 'user_id': request.user.id,
|
||||
'chat_id': chat_id}).logic_delete())
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Client modifies dialogue summary"),
|
||||
operation_id=_("Client modifies dialogue summary"),
|
||||
request_body=ChatClientHistoryApi.Operate.ReAbstract.get_request_body_api(),
|
||||
responses=result.get_default_response(),
|
||||
tags=[_("Application/Conversation Log")])
|
||||
@has_permissions(ViewPermission(
|
||||
[RoleConstants.APPLICATION_ACCESS_TOKEN, RoleConstants.ADMIN, RoleConstants.USER],
|
||||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
|
||||
dynamic_tag=keywords.get('application_id'))],
|
||||
compare=CompareConstants.AND),
|
||||
compare=CompareConstants.AND)
|
||||
@log(menu='Conversation Log', operate="Client modifies dialogue summary",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str, chat_id: str):
|
||||
return result.success(
|
||||
ChatSerializers.Operate(
|
||||
data={'application_id': application_id, 'user_id': request.user.id,
|
||||
'chat_id': chat_id}).re_abstract(request.data))
|
||||
|
||||
class Page(APIView):
|
||||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the conversation list by page"),
|
||||
operation_id=_("Get the conversation list by page"),
|
||||
@swagger_auto_schema(operation_summary="分页获取对话列表",
|
||||
operation_id="分页获取对话列表",
|
||||
manual_parameters=result.get_page_request_params(ChatApi.get_request_params_api()),
|
||||
responses=result.get_page_api_response(ChatApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log")]
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
|
||||
|
|
@ -285,11 +249,11 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get conversation record details"),
|
||||
operation_id=_("Get conversation record details"),
|
||||
@swagger_auto_schema(operation_summary="获取对话记录详情",
|
||||
operation_id="获取对话记录详情",
|
||||
manual_parameters=ChatRecordApi.get_request_params_api(),
|
||||
responses=result.get_api_array_response(ChatRecordApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log")]
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,
|
||||
|
|
@ -304,11 +268,11 @@ class ChatView(APIView):
|
|||
'chat_record_id': chat_record_id}).one(request.auth.current_role))
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get a list of conversation records"),
|
||||
operation_id=_("Get a list of conversation records"),
|
||||
@swagger_auto_schema(operation_summary="获取对话记录列表",
|
||||
operation_id="获取对话记录列表",
|
||||
manual_parameters=ChatRecordApi.get_request_params_api(),
|
||||
responses=result.get_api_array_response(ChatRecordApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log")]
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
|
||||
|
|
@ -324,12 +288,12 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the conversation history list by page"),
|
||||
operation_id=_("Get the conversation history list by page"),
|
||||
@swagger_auto_schema(operation_summary="获取对话记录列表",
|
||||
operation_id="获取对话记录列表",
|
||||
manual_parameters=result.get_page_request_params(
|
||||
ChatRecordApi.get_request_params_api()),
|
||||
responses=result.get_page_api_response(ChatRecordApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log")]
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
|
||||
|
|
@ -346,12 +310,12 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Like, Dislike"),
|
||||
operation_id=_("Like, Dislike"),
|
||||
@swagger_auto_schema(operation_summary="点赞,点踩",
|
||||
operation_id="点赞,点踩",
|
||||
manual_parameters=VoteApi.get_request_params_api(),
|
||||
request_body=VoteApi.get_request_body_api(),
|
||||
responses=result.get_default_response(),
|
||||
tags=[_("Application/Chat")]
|
||||
tags=["应用/会话"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,
|
||||
|
|
@ -359,8 +323,6 @@ class ChatView(APIView):
|
|||
[lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
|
||||
dynamic_tag=keywords.get('application_id'))])
|
||||
)
|
||||
@log(menu='Conversation Log', operate="Like, Dislike",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str, chat_id: str, chat_record_id: str):
|
||||
return result.success(ChatRecordSerializer.Vote(
|
||||
data={'vote_status': request.data.get('vote_status'), 'chat_id': chat_id,
|
||||
|
|
@ -370,11 +332,11 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['GET'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Get the list of marked paragraphs"),
|
||||
operation_id=_("Get the list of marked paragraphs"),
|
||||
@swagger_auto_schema(operation_summary="获取标注段落列表信息",
|
||||
operation_id="获取标注段落列表信息",
|
||||
manual_parameters=ChatRecordImproveApi.get_request_params_api(),
|
||||
responses=result.get_api_response(ChatRecordImproveApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log/Annotation")]
|
||||
tags=["应用/对话日志/标注"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -389,12 +351,12 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['PUT'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Annotation"),
|
||||
operation_id=_("Annotation"),
|
||||
@swagger_auto_schema(operation_summary="标注",
|
||||
operation_id="标注",
|
||||
manual_parameters=ImproveApi.get_request_params_api(),
|
||||
request_body=ImproveApi.get_request_body_api(),
|
||||
responses=result.get_api_response(ChatRecordApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log/Annotation")]
|
||||
tags=["应用/对话日志/标注"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -408,8 +370,6 @@ class ChatView(APIView):
|
|||
'dataset_id'))],
|
||||
compare=CompareConstants.AND
|
||||
), compare=CompareConstants.AND)
|
||||
@log(menu='Conversation Log', operate="Annotation",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def put(self, request: Request, application_id: str, chat_id: str, chat_record_id: str, dataset_id: str,
|
||||
document_id: str):
|
||||
return result.success(ChatRecordSerializer.Improve(
|
||||
|
|
@ -417,12 +377,11 @@ class ChatView(APIView):
|
|||
'dataset_id': dataset_id, 'document_id': document_id}).improve(request.data))
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Add to Knowledge Base"),
|
||||
operation_id=_("Add to Knowledge Base"),
|
||||
@swagger_auto_schema(operation_summary="添加至知识库",
|
||||
operation_id="添加至知识库",
|
||||
manual_parameters=ImproveApi.get_request_params_api_post(),
|
||||
request_body=ImproveApi.get_request_body_api_post(),
|
||||
responses=result.get_default_response(),
|
||||
tags=[_("Application/Conversation Log/Add to Knowledge Base")]
|
||||
tags=["应用/对话日志/添加至知识库"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -436,8 +395,6 @@ class ChatView(APIView):
|
|||
'dataset_id'))],
|
||||
compare=CompareConstants.AND
|
||||
), compare=CompareConstants.AND)
|
||||
@log(menu='Conversation Log', operate="Add to Knowledge Base",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def post(self, request: Request, application_id: str, dataset_id: str):
|
||||
return result.success(ChatRecordSerializer.PostImprove().post_improve(request.data))
|
||||
|
||||
|
|
@ -445,11 +402,11 @@ class ChatView(APIView):
|
|||
authentication_classes = [TokenAuth]
|
||||
|
||||
@action(methods=['DELETE'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Delete a Annotation"),
|
||||
operation_id=_("Delete a Annotation"),
|
||||
@swagger_auto_schema(operation_summary="标注",
|
||||
operation_id="标注",
|
||||
manual_parameters=ImproveApi.get_request_params_api(),
|
||||
responses=result.get_api_response(ChatRecordApi.get_response_body_api()),
|
||||
tags=[_("Application/Conversation Log/Annotation")]
|
||||
tags=["应用/对话日志/标注"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
|
||||
|
|
@ -463,8 +420,6 @@ class ChatView(APIView):
|
|||
'dataset_id'))],
|
||||
compare=CompareConstants.AND
|
||||
), compare=CompareConstants.AND)
|
||||
@log(menu='Conversation Log', operate="Delete a Annotation",
|
||||
get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
|
||||
def delete(self, request: Request, application_id: str, chat_id: str, chat_record_id: str,
|
||||
dataset_id: str,
|
||||
document_id: str, paragraph_id: str):
|
||||
|
|
@ -475,29 +430,12 @@ class ChatView(APIView):
|
|||
|
||||
class UploadFile(APIView):
|
||||
authentication_classes = [TokenAuth]
|
||||
parser_classes = [MultiPartParser]
|
||||
|
||||
@action(methods=['POST'], detail=False)
|
||||
@swagger_auto_schema(operation_summary=_("Upload files"),
|
||||
operation_id=_("Upload files"),
|
||||
manual_parameters=[
|
||||
openapi.Parameter(name='application_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Application ID')),
|
||||
openapi.Parameter(name='chat_id',
|
||||
in_=openapi.IN_PATH,
|
||||
type=openapi.TYPE_STRING,
|
||||
required=True,
|
||||
description=_('Conversation ID')),
|
||||
openapi.Parameter(name='file',
|
||||
in_=openapi.IN_FORM,
|
||||
type=openapi.TYPE_FILE,
|
||||
required=True,
|
||||
description=_('Upload file'))
|
||||
],
|
||||
tags=[_("Application/Conversation Log")]
|
||||
@swagger_auto_schema(operation_summary="上传文件",
|
||||
operation_id="上传文件",
|
||||
manual_parameters=ChatRecordApi.get_request_params_api(),
|
||||
tags=["应用/对话日志"]
|
||||
)
|
||||
@has_permissions(
|
||||
ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,
|
||||
|
|
|
|||
|
|
@ -1,21 +0,0 @@
|
|||
# coding=utf-8
|
||||
"""
|
||||
@project: MaxKB
|
||||
@Author：虎
|
||||
@file： common.py
|
||||
@date：2025/3/25 16:56
|
||||
@desc:
|
||||
"""
|
||||
|
||||
from django.db.models import QuerySet
|
||||
|
||||
from application.models import Application
|
||||
|
||||
|
||||
def get_application_operation_object(application_id):
|
||||
application_model = QuerySet(model=Application).filter(id=application_id).first()
|
||||
if application_model is not None:
|
||||
return {
|
||||
"name": application_model.name
|
||||
}
|
||||
return {}
|
||||
|
|
@ -16,7 +16,7 @@ from rest_framework.authentication import TokenAuthentication
|
|||
|
||||
from common.exception.app_exception import AppAuthenticationFailed, AppEmbedIdentityFailed, AppChatNumOutOfBoundsFailed, \
|
||||
ChatException, AppApiException
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
token_cache = cache.caches['token_cache']
|
||||
|
||||
|
||||
|
|
@ -59,19 +59,19 @@ class OpenAIKeyAuth(TokenAuthentication):
|
|||
auth = auth.replace('Bearer ', '')
|
||||
# 未认证
|
||||
if auth is None:
|
||||
raise AppAuthenticationFailed(1003, _('Not logged in, please log in first'))
|
||||
raise AppAuthenticationFailed(1003, '未登录,请先登录')
|
||||
try:
|
||||
token_details = TokenDetails(auth)
|
||||
for handle in handles:
|
||||
if handle.support(request, auth, token_details.get_token_details):
|
||||
return handle.handle(request, auth, token_details.get_token_details)
|
||||
raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))
|
||||
raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
|
||||
except Exception as e:
|
||||
traceback.format_exc()
|
||||
if isinstance(e, AppEmbedIdentityFailed) or isinstance(e, AppChatNumOutOfBoundsFailed) or isinstance(e,
|
||||
AppApiException):
|
||||
raise e
|
||||
raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))
|
||||
raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
|
||||
|
||||
|
||||
class TokenAuth(TokenAuthentication):
|
||||
|
|
@ -80,16 +80,16 @@ class TokenAuth(TokenAuthentication):
|
|||
auth = request.META.get('HTTP_AUTHORIZATION')
|
||||
# 未认证
|
||||
if auth is None:
|
||||
raise AppAuthenticationFailed(1003, _('Not logged in, please log in first'))
|
||||
raise AppAuthenticationFailed(1003, '未登录,请先登录')
|
||||
try:
|
||||
token_details = TokenDetails(auth)
|
||||
for handle in handles:
|
||||
if handle.support(request, auth, token_details.get_token_details):
|
||||
return handle.handle(request, auth, token_details.get_token_details)
|
||||
raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))
|
||||
raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
|
||||
except Exception as e:
|
||||
traceback.format_exc()
|
||||
if isinstance(e, AppEmbedIdentityFailed) or isinstance(e, AppChatNumOutOfBoundsFailed) or isinstance(e,
|
||||
AppApiException):
|
||||
raise e
|
||||
raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))
|
||||
raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ from typing import List
|
|||
from common.constants.permission_constants import ViewPermission, CompareConstants, RoleConstants, PermissionConstants, \
|
||||
Permission
|
||||
from common.exception.app_exception import AppUnauthorizedFailed
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
def exist_permissions_by_permission_constants(user_permission: List[PermissionConstants],
|
||||
permission_list: List[PermissionConstants]):
|
||||
|
|
@ -91,7 +91,7 @@ def has_permissions(*permission, compare=CompareConstants.OR):
|
|||
# 判断是否有权限
|
||||
if any(exit_list) if compare == CompareConstants.OR else all(exit_list):
|
||||
return func(view, request, **kwargs)
|
||||
raise AppUnauthorizedFailed(403, _('No permission to access'))
|
||||
raise AppUnauthorizedFailed(403, "没有权限访问")
|
||||
|
||||
return run
|
||||
|
||||
|
|
|
|||
|
|
@ -13,16 +13,15 @@ from common.auth.handle.auth_base_handle import AuthBaseHandle
|
|||
from common.constants.authentication_type import AuthenticationType
|
||||
from common.constants.permission_constants import Permission, Group, Operate, RoleConstants, Auth
|
||||
from common.exception.app_exception import AppAuthenticationFailed
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ApplicationKey(AuthBaseHandle):
|
||||
def handle(self, request, token: str, get_token_details):
|
||||
application_api_key = QuerySet(ApplicationApiKey).filter(secret_key=token).first()
|
||||
if application_api_key is None:
|
||||
raise AppAuthenticationFailed(500, _('Secret key is invalid'))
|
||||
raise AppAuthenticationFailed(500, "secret_key 无效")
|
||||
if not application_api_key.is_active:
|
||||
raise AppAuthenticationFailed(500, _('Secret key is invalid'))
|
||||
raise AppAuthenticationFailed(500, "secret_key 无效")
|
||||
permission_list = [Permission(group=Group.APPLICATION,
|
||||
operate=Operate.USE,
|
||||
dynamic_tag=str(
|
||||
|
|
|
|||
|
|
@ -15,7 +15,7 @@ from common.constants.permission_constants import RoleConstants, Permission, Gro
|
|||
from common.exception.app_exception import AppAuthenticationFailed, ChatException
|
||||
from common.models.db_model_manage import DBModelManage
|
||||
from common.util.common import password_encrypt
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class PublicAccessToken(AuthBaseHandle):
|
||||
def support(self, request, token: str, get_token_details):
|
||||
|
|
@ -45,13 +45,13 @@ class PublicAccessToken(AuthBaseHandle):
|
|||
if application_setting.authentication_value.get('type') != authentication.get(
|
||||
'type') or password_encrypt(
|
||||
application_setting.authentication_value.get('value')) != authentication.get('value'):
|
||||
raise ChatException(1002, _('Authentication information is incorrect'))
|
||||
raise ChatException(1002, "身份验证信息不正确")
|
||||
if application_access_token is None:
|
||||
raise AppAuthenticationFailed(1002, _('Authentication information is incorrect'))
|
||||
raise AppAuthenticationFailed(1002, "身份验证信息不正确")
|
||||
if not application_access_token.is_active:
|
||||
raise AppAuthenticationFailed(1002, _('Authentication information is incorrect'))
|
||||
raise AppAuthenticationFailed(1002, "身份验证信息不正确")
|
||||
if not application_access_token.access_token == auth_details.get('access_token'):
|
||||
raise AppAuthenticationFailed(1002, _('Authentication information is incorrect'))
|
||||
raise AppAuthenticationFailed(1002, "身份验证信息不正确")
|
||||
|
||||
return application_access_token.application.user, Auth(
|
||||
role_list=[RoleConstants.APPLICATION_ACCESS_TOKEN],
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@ from users.models import User
|
|||
from django.core import cache
|
||||
|
||||
from users.models.user import get_user_dynamics_permission
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
token_cache = cache.caches['token_cache']
|
||||
|
||||
|
||||
|
|
@ -31,7 +31,7 @@ class UserToken(AuthBaseHandle):
|
|||
def handle(self, request, token: str, get_token_details):
|
||||
cache_token = token_cache.get(token)
|
||||
if cache_token is None:
|
||||
raise AppAuthenticationFailed(1002, _('Login expired'))
|
||||
raise AppAuthenticationFailed(1002, "登录过期")
|
||||
auth_details = get_token_details()
|
||||
user = QuerySet(User).get(id=auth_details['id'])
|
||||
# 续期
|
||||
|
|
|
|||
|
|
@ -11,50 +11,35 @@ import time
|
|||
|
||||
from common.cache.mem_cache import MemCache
|
||||
|
||||
_lock = threading.Lock()
|
||||
locks = {}
|
||||
lock = threading.Lock()
|
||||
|
||||
|
||||
class ModelManage:
|
||||
cache = MemCache('model', {})
|
||||
up_clear_time = time.time()
|
||||
|
||||
@staticmethod
|
||||
def _get_lock(_id):
|
||||
lock = locks.get(_id)
|
||||
if lock is None:
|
||||
with _lock:
|
||||
lock = locks.get(_id)
|
||||
if lock is None:
|
||||
lock = threading.Lock()
|
||||
locks[_id] = lock
|
||||
|
||||
return lock
|
||||
|
||||
@staticmethod
|
||||
def get_model(_id, get_model):
|
||||
model_instance = ModelManage.cache.get(_id)
|
||||
if model_instance is None:
|
||||
lock = ModelManage._get_lock(_id)
|
||||
with lock:
|
||||
model_instance = ModelManage.cache.get(_id)
|
||||
if model_instance is None:
|
||||
model_instance = get_model(_id)
|
||||
ModelManage.cache.set(_id, model_instance, timeout=60 * 60 * 8)
|
||||
else:
|
||||
if model_instance.is_cache_model():
|
||||
ModelManage.cache.touch(_id, timeout=60 * 60 * 8)
|
||||
else:
|
||||
# 获取锁
|
||||
lock.acquire()
|
||||
try:
|
||||
model_instance = ModelManage.cache.get(_id)
|
||||
if model_instance is None or not model_instance.is_cache_model():
|
||||
model_instance = get_model(_id)
|
||||
ModelManage.cache.set(_id, model_instance, timeout=60 * 60 * 8)
|
||||
ModelManage.clear_timeout_cache()
|
||||
return model_instance
|
||||
ModelManage.cache.set(_id, model_instance, timeout=60 * 30)
|
||||
return model_instance
|
||||
# 续期
|
||||
ModelManage.cache.touch(_id, timeout=60 * 30)
|
||||
ModelManage.clear_timeout_cache()
|
||||
return model_instance
|
||||
finally:
|
||||
# 释放锁
|
||||
lock.release()
|
||||
|
||||
@staticmethod
|
||||
def clear_timeout_cache():
|
||||
if time.time() - ModelManage.up_clear_time > 60 * 60:
|
||||
threading.Thread(target=lambda: ModelManage.cache.clear_timeout_data()).start()
|
||||
ModelManage.up_clear_time = time.time()
|
||||
if time.time() - ModelManage.up_clear_time > 60:
|
||||
ModelManage.cache.clear_timeout_data()
|
||||
|
||||
@staticmethod
|
||||
def delete_key(_id):
|
||||
|
|
|
|||
|
|
@ -6,7 +6,7 @@
|
|||
@date：2023/9/5 14:01
|
||||
@desc: 用于swagger 分组
|
||||
"""
|
||||
from drf_yasg.generators import OpenAPISchemaGenerator
|
||||
|
||||
from drf_yasg.inspectors import SwaggerAutoSchema
|
||||
|
||||
tags_dict = {
|
||||
|
|
@ -20,10 +20,10 @@ class CustomSwaggerAutoSchema(SwaggerAutoSchema):
|
|||
if "api" in tags and operation_keys:
|
||||
return [tags_dict.get(operation_keys[1]) if operation_keys[1] in tags_dict else operation_keys[1]]
|
||||
return tags
|
||||
|
||||
|
||||
class CustomOpenAPISchemaGenerator(OpenAPISchemaGenerator):
|
||||
def get_schema(self, request=None, public=False):
|
||||
schema = super().get_schema(request, public)
|
||||
schema.schemes = ['https', 'http']
|
||||
return schema
|
||||
if request.is_secure():
|
||||
schema.schemes = ['https']
|
||||
else:
|
||||
schema.schemes = ['http']
|
||||
return schema
|
||||
|
|
@ -9,7 +9,6 @@
|
|||
from enum import Enum
|
||||
|
||||
from common.exception.app_exception import AppApiException
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class ExceptionCodeConstantsValue:
|
||||
|
|
@ -28,16 +27,13 @@ class ExceptionCodeConstantsValue:
|
|||
|
||||
|
||||
class ExceptionCodeConstants(Enum):
|
||||
INCORRECT_USERNAME_AND_PASSWORD = ExceptionCodeConstantsValue(1000, _('The username or password is incorrect'))
|
||||
NOT_AUTHENTICATION = ExceptionCodeConstantsValue(1001, _('Please log in first and bring the user Token'))
|
||||
EMAIL_SEND_ERROR = ExceptionCodeConstantsValue(1002, _('Email sending failed'))
|
||||
EMAIL_FORMAT_ERROR = ExceptionCodeConstantsValue(1003, _('Email format error'))
|
||||
EMAIL_IS_EXIST = ExceptionCodeConstantsValue(1004, _('The email has been registered, please log in directly'))
|
||||
EMAIL_IS_NOT_EXIST = ExceptionCodeConstantsValue(1005, _('The email is not registered, please register first'))
|
||||
CODE_ERROR = ExceptionCodeConstantsValue(1005,
|
||||
_('The verification code is incorrect or the verification code has expired'))
|
||||
USERNAME_IS_EXIST = ExceptionCodeConstantsValue(1006, _('The username has been registered, please log in directly'))
|
||||
USERNAME_ERROR = ExceptionCodeConstantsValue(1006,
|
||||
_('The username cannot be empty and must be between 6 and 20 characters long.'))
|
||||
PASSWORD_NOT_EQ_RE_PASSWORD = ExceptionCodeConstantsValue(1007,
|
||||
_('Password and confirmation password are inconsistent'))
|
||||
INCORRECT_USERNAME_AND_PASSWORD = ExceptionCodeConstantsValue(1000, "用户名或者密码不正确")
|
||||
NOT_AUTHENTICATION = ExceptionCodeConstantsValue(1001, "请先登录,并携带用户Token")
|
||||
EMAIL_SEND_ERROR = ExceptionCodeConstantsValue(1002, "邮件发送失败")
|
||||
EMAIL_FORMAT_ERROR = ExceptionCodeConstantsValue(1003, "邮箱格式错误")
|
||||
EMAIL_IS_EXIST = ExceptionCodeConstantsValue(1004, "邮箱已经被注册,请勿重复注册")
|
||||
EMAIL_IS_NOT_EXIST = ExceptionCodeConstantsValue(1005, "邮箱尚未注册,请先注册")
|
||||
CODE_ERROR = ExceptionCodeConstantsValue(1005, "验证码不正确,或者验证码过期")
|
||||
USERNAME_IS_EXIST = ExceptionCodeConstantsValue(1006, "用户名已被使用,请使用其他用户名")
|
||||
USERNAME_ERROR = ExceptionCodeConstantsValue(1006, "用户名不能为空,并且长度在6-20")
|
||||
PASSWORD_NOT_EQ_RE_PASSWORD = ExceptionCodeConstantsValue(1007, "密码与确认密码不一致")
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@
|
|||
"""
|
||||
from enum import Enum
|
||||
from typing import List
|
||||
from django.utils.translation import gettext_lazy as _
|
||||
|
||||
|
||||
class Group(Enum):
|
||||
"""
|
||||
|
|
@ -58,10 +58,10 @@ class Role:
|
|||
|
||||
|
||||
class RoleConstants(Enum):
|
||||
ADMIN = Role(_("ADMIN"), _('Admin, prefabs are not currently used'), RoleGroup.USER)
|
||||
USER = Role(_("USER"), _('All user permissions'), RoleGroup.USER)
|
||||
APPLICATION_ACCESS_TOKEN = Role(_('chat'), _('Only has application dialog interface permissions'), RoleGroup.APPLICATION_ACCESS_TOKEN),
|
||||
APPLICATION_KEY = Role(_('Apply private key'), _('Apply private key'), RoleGroup.APPLICATION_KEY)
|
||||
ADMIN = Role("管理员", "管理员,预制目前不会使用", RoleGroup.USER)
|
||||
USER = Role("用户", "用户所有权限", RoleGroup.USER)
|
||||
APPLICATION_ACCESS_TOKEN = Role("会话", "只拥有应用会话框接口权限", RoleGroup.APPLICATION_ACCESS_TOKEN),
|
||||
APPLICATION_KEY = Role("应用私钥", "应用私钥", RoleGroup.APPLICATION_KEY)
|
||||
|
||||
|
||||
class Permission:
|
||||
|
|
|
|||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue