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34 Commits

Author SHA1 Message Date
552023ee4b Fix: catch non-begin component output (#7827)
### What problem does this PR solve?

Catch non-begin component output

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-05-23 20:29:23 +08:00
6c9b8ec860 Refa: update gemini2.5 (#7822)
### What problem does this PR solve?

Update gemini2.5

### Type of change

- [x] Refactoring
2025-05-23 20:29:10 +08:00
f9e6ad86b7 Fix: Fixed the issue that the script text of the code operator is not displayed after refreshing the page after saving the script text of the code operator #4977 (#7825)
### What problem does this PR solve?

Fix: Fixed the issue that the script text of the code operator is not
displayed after refreshing the page after saving the script text of the
code operator #4977

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-05-23 18:57:45 +08:00
e604634d2a Feat: Refactor the MessageForm with shadcn #3221 (#7820)
### What problem does this PR solve?

Feat: Refactor the MessageForm with shadcn #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 18:45:13 +08:00
590b9dabab Docs: update for v0.19.0 (#7823)
### What problem does this PR solve?

update for v0.19.0

### Type of change

- [x] Documentation Update
2025-05-23 18:25:47 +08:00
c283ea57fd Docs: Added v0.19.0 release notes (#7818)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-05-23 18:25:33 +08:00
50ff16e7a4 Feat: add claude4 models (#7809)
### What problem does this PR solve?

Add claude4 models.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 18:25:13 +08:00
453287b06b Feat: more robust fallbacks for citations (#7801)
### What problem does this PR solve?

Add more robust fallbacks for citations

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 18:24:55 +08:00
e166f132b3 Feat: change default models (#7777)
### What problem does this PR solve?

change default models to buildin models
https://github.com/infiniflow/ragflow/issues/7774

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 18:21:25 +08:00
42f4d4dbc8 Fix: wrong type hint (#7738)
### What problem does this PR solve?

Wrong hint type. #7729.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-05-23 18:21:06 +08:00
7cb8368e0f Feat: sandox enhancement (#7739)
### What problem does this PR solve?

1. Add sandbox options for max memory and timeout.
2. ​Malicious code detection for Python only.​​

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 18:20:51 +08:00
Sol
0d7cfce6e1 Update rag/nlp/query.py (#7816)
### What problem does this PR solve?
Fix tokenizer resulting in low recall

![37743d3a495f734aa69f1e173fa77457](https://github.com/user-attachments/assets/1394757e-8fcb-4f87-96af-a92716144884)

![4aba633a17f34269a4e17e84fafb34c4](https://github.com/user-attachments/assets/a1828e32-3e17-4394-a633-ba3f09bd506d)

![image](https://github.com/user-attachments/assets/61308f32-2a4f-44d5-a034-d65bbec554ef)



### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-05-23 17:13:37 +08:00
2d7c1368f0 Feat: add code_executor_manager (#7814)
### What problem does this PR solve?

Add code_executor_manager. #4977.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 16:33:38 +08:00
db4371c745 Fix: Improve First Chunk Size (#7806)
### What problem does this PR solve?

https://github.com/infiniflow/ragflow/issues/7790

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-05-23 14:30:19 +08:00
e6cd799d8a Feat: Translate the begin operator #3221 (#7811)
### What problem does this PR solve?

Feat: Translate the begin operator #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 14:18:27 +08:00
ab29b58316 Docs: Added instructions on cross-language search (#7812)
### What problem does this PR solve?



### Type of change


- [x] Documentation Update
2025-05-23 14:18:14 +08:00
3f037c9786 Feat: Reconstruct the QueryTable of BeginForm using shandcn #3221 (#7807)
### What problem does this PR solve?

Feat: Reconstruct the QueryTable of BeginForm using shandcn #3221
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 12:31:05 +08:00
Sol
53b991aa0e Fix backquotes in text2sql causing execution errors (#7793)
### What problem does this PR solve?
Remove the backquotes in the sql generated by LLM to prevent it from
causing execution errors.

![image](https://github.com/user-attachments/assets/40d57ef7-b812-402a-b469-5793e466b83d)


![image](https://github.com/user-attachments/assets/d0a9bc17-ff5a-43cb-90cb-b2b3827b00b0)


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-05-23 09:49:45 +08:00
9e80f39caa Feat: Synchronize BeginForm's query data to the canvas #3221 (#7798)
### What problem does this PR solve?

Feat: Synchronize BeginForm's query data to the canvas #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-23 09:49:14 +08:00
bdc2b74e8f Fix baidu request error (#7799)
### What problem does this PR solve?

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Co-authored-by: xiaohzho <xiaohzho@cisco.com>
2025-05-23 09:48:55 +08:00
1fd92e6bee Docs: RAGFlow does not suppport batch metadata setting (#7795)
### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change


- [x] Documentation Update
2025-05-22 17:02:23 +08:00
02fd381072 Feat: Verify the parameters of the begin operator #3221 (#7794)
### What problem does this PR solve?

Feat: Verify the parameters of the begin operator #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-22 16:58:47 +08:00
b6f3a6a68a Feat: Refactor BeginForm with shadcn #3221 (#7792)
### What problem does this PR solve?

Feat: Refactor BeginForm with shadcn #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-22 15:33:40 +08:00
ae70512f5d fix:When creating a new assistant, an avatar was uploaded, but when selecting the assistant to start a new chat, the default avatar still appears in the chat window instead of the one uploaded during creation (#7769)
### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
2025-05-22 11:50:02 +08:00
d4a123d6dd Fix: resolve regex library warnings (#7782)
### What problem does this PR solve?
This small PR resolves the regex library warnings showing in Python3.11:
```python
DeprecationWarning: 'count' is passed as positional argument
```

### Type of change

- [ ] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [x] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
2025-05-22 10:06:28 +08:00
ce816edb5f Fix: improve task cancel lag (#7765)
### What problem does this PR solve?

https://github.com/infiniflow/ragflow/issues/7761

but it may be difficult to achieve 0 delay (which need to pass the
cancel token to all parts)

Another solution is just 0 delay effect at UI.
And task will stop latter

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-05-22 09:28:08 +08:00
ac2643700b Feat: Add return value widget to CodeForm #3221 (#7776)
### What problem does this PR solve?
Feat: Add return value widget  to CodeForm #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-21 19:35:27 +08:00
558b252c5a Feat: Switching the programming language of the code operator will switch the corresponding language template #3221 (#7770)
### What problem does this PR solve?

Feat: Switching the programming language of the code operator will
switch the corresponding language template #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-21 18:22:06 +08:00
754a5e1cee Feat: Fixed the issue where the page would refresh continuously when opening the sheet on the right side of the canvas #3221 (#7756)
### What problem does this PR solve?

Feat: Fixed the issue where the page would refresh continuously when
opening the sheet on the right side of the canvas #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-21 17:03:16 +08:00
e3e7c7ddaa Feat: delete useless image blobs when task executor meet edge cases (#7727)
### What problem does this PR solve?

delete useless image blobs when the task executor meets edge cases

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-05-21 10:22:30 +08:00
76b278af8e 0519 pdfparser (#7747)
### What problem does this PR solve?


### Type of change


- [x] Documentation Update
2025-05-20 19:41:55 +08:00
1c6320828c Feat: Rename agent #3221 (#7740)
### What problem does this PR solve?

Feat: Rename agent #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-20 19:13:19 +08:00
d72468426e Feat: Render the agent list page by page #3221 (#7736)
### What problem does this PR solve?

Feat: Render the agent list page by page #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-20 16:03:55 +08:00
796f4032b8 Feat: Migrate the code operator to the new agent. #3221 (#7731)
### What problem does this PR solve?

Feat: Migrate the code operator to the new agent. #3221

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-05-20 15:30:56 +08:00
102 changed files with 5030 additions and 670 deletions

143
.gitignore vendored
View File

@ -44,3 +44,146 @@ nltk_data/
.lh/
.venv
docker/data
#--------------------------------------------------#
# The following was generated with gitignore.nvim: #
#--------------------------------------------------#
# Gitignore for the following technologies: Node
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
.pnpm-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
*.lcov
# nyc test coverage
.nyc_output
# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# Snowpack dependency directory (https://snowpack.dev/)
web_modules/
# TypeScript cache
*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Optional stylelint cache
.stylelintcache
# Microbundle cache
.rpt2_cache/
.rts2_cache_cjs/
.rts2_cache_es/
.rts2_cache_umd/
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variable files
.env
.env.development.local
.env.test.local
.env.production.local
.env.local
# parcel-bundler cache (https://parceljs.org/)
.cache
.parcel-cache
# Next.js build output
.next
out
# Nuxt.js build / generate output
.nuxt
dist
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js
# https://nextjs.org/blog/next-9-1#public-directory-support
# public
# vuepress build output
.vuepress/dist
# vuepress v2.x temp and cache directory
.temp
# Docusaurus cache and generated files
.docusaurus
# Serverless directories
.serverless/
# FuseBox cache
.fusebox/
# DynamoDB Local files
.dynamodb/
# TernJS port file
.tern-port
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
# yarn v2
.yarn/cache
.yarn/unplugged
.yarn/build-state.yml
.yarn/install-state.gz
.pnp.*
# Serverless Webpack directories
.webpack/
# SvelteKit build / generate output
.svelte-kit

View File

@ -17,6 +17,7 @@ import logging
from abc import ABC
import pandas as pd
import requests
from bs4 import BeautifulSoup
import re
from agent.component.base import ComponentBase, ComponentParamBase
@ -44,17 +45,28 @@ class Baidu(ComponentBase, ABC):
return Baidu.be_output("")
try:
url = 'http://www.baidu.com/s?wd=' + ans + '&rn=' + str(self._param.top_n)
url = 'https://www.baidu.com/s?wd=' + ans + '&rn=' + str(self._param.top_n)
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.104 Safari/537.36'}
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
'Connection': 'keep-alive',
}
response = requests.get(url=url, headers=headers)
url_res = re.findall(r"'url': \\\"(.*?)\\\"}", response.text)
title_res = re.findall(r"'title': \\\"(.*?)\\\",\\n", response.text)
body_res = re.findall(r"\"contentText\":\"(.*?)\"", response.text)
baidu_res = [{"content": re.sub('<em>|</em>', '', '<a href="' + url + '">' + title + '</a> ' + body)} for
url, title, body in zip(url_res, title_res, body_res)]
del body_res, url_res, title_res
# check if request success
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
url_res = []
title_res = []
body_res = []
for item in soup.select('.result.c-container'):
# extract title
title_res.append(item.select_one('h3 a').get_text(strip=True))
url_res.append(item.select_one('h3 a')['href'])
body_res.append(item.select_one('.c-abstract').get_text(strip=True) if item.select_one('.c-abstract') else '')
baidu_res = [{"content": re.sub('<em>|</em>', '', '<a href="' + url + '">' + title + '</a> ' + body)} for
url, title, body in zip(url_res, title_res, body_res)]
del body_res, url_res, title_res
except Exception as e:
return Baidu.be_output("**ERROR**: " + str(e))

View File

@ -105,6 +105,7 @@ class ExeSQL(Generate, ABC):
sql_res = []
for i in range(len(input_list)):
single_sql = input_list[i]
single_sql = single_sql.replace('```','')
while self._loop <= self._param.loop:
self._loop += 1
if not single_sql:

View File

@ -53,14 +53,14 @@ def corpNorm(nm, add_region=True):
nm = re.sub(r"&amp;", "&", nm)
nm = re.sub(r"[\(\)\+'\"\t \*\\【】-]+", " ", nm)
nm = re.sub(
r"([—-]+.*| +co\..*|corp\..*| +inc\..*| +ltd.*)", "", nm, 10000, re.IGNORECASE
r"([—-]+.*| +co\..*|corp\..*| +inc\..*| +ltd.*)", "", nm, count=10000, flags=re.IGNORECASE
)
nm = re.sub(
r"(计算机|技术|(技术|科技|网络)*有限公司|公司|有限|研发中心|中国|总部)$",
"",
nm,
10000,
re.IGNORECASE,
count=10000,
flags=re.IGNORECASE,
)
if not nm or (len(nm) < 5 and not regions.isName(nm[0:2])):
return nm

View File

@ -51,7 +51,7 @@ PY = Pinyin()
def rmHtmlTag(line):
return re.sub(r"<[a-z0-9.\"=';,:\+_/ -]+>", " ", line, 100000, re.IGNORECASE)
return re.sub(r"<[a-z0-9.\"=';,:\+_/ -]+>", " ", line, count=100000, flags=re.IGNORECASE)
def highest_degree(dg):
@ -507,7 +507,7 @@ def parse(cv):
(r".*国有.*", "国企"),
(r"[ \(\)人/·0-9-]+", ""),
(r".*(元|规模|于|=|北京|上海|至今|中国|工资|州|shanghai|强|餐饮|融资|职).*", "")]:
cv["corporation_type"] = re.sub(p, r, cv["corporation_type"], 1000, re.IGNORECASE)
cv["corporation_type"] = re.sub(p, r, cv["corporation_type"], count=1000, flags=re.IGNORECASE)
if len(cv["corporation_type"]) < 2:
del cv["corporation_type"]

View File

@ -23,7 +23,7 @@ Once a connection is established, an MCP server communicates with its client in
## Prerequisites
1. Ensure RAGFlow is upgraded to v0.18.0 or later.
2. Have your RAGFlow API key ready. See [Acquire a RAGFlow API key](./acquire_ragflow_api_key.md).
2. Have your RAGFlow API key ready. See [Acquire a RAGFlow API key](../acquire_ragflow_api_key.md).
:::tip INFO
If you wish to try out our MCP server without upgrading RAGFlow, community contributor [yiminghub2024](https://github.com/yiminghub2024) 👏 shares their recommended steps [here](#launch-an-mcp-server-without-upgrading-ragflow).

View File

@ -11,7 +11,7 @@ Switch your doc engine from Elasticsearch to Infinity.
RAGFlow uses Elasticsearch by default for storing full text and vectors. To switch to [Infinity](https://github.com/infiniflow/infinity/), follow these steps:
:::danger WARNING
:::caution WARNING
Switching to Infinity on a Linux/arm64 machine is not yet officially supported.
:::
@ -21,7 +21,7 @@ Switching to Infinity on a Linux/arm64 machine is not yet officially supported.
$ docker compose -f docker/docker-compose.yml down -v
```
:::cautiion WARNING
:::caution WARNING
`-v` will delete the docker container volumes, and the existing data will be cleared.
:::

View File

@ -1,50 +0,0 @@
---
sidebar_position: 13
slug: /code_component
---
# Code component
A component that enables users to integrate Python or JavaScript codes into their Agent for dynamic data processing.
---
## Scenarios
A **Code** component is essential when you need to integrate complex code logic (Python or JavaScript) into your Agent for dynamic data processing.
## Input variables
You can specify multiple input sources for the **Code** component. Click **+ Add variable** in the **Input variables** section to include the desired input variables.
After defining an input variable, you are required to select from the dropdown menu:
- A component ID under **Component Output**, or
- A global variable under **Begin input**, which is defined in the **Begin** component.
## Coding field
### A Python code example
```Python
def main(arg1: str, arg2: str) -> dict:
return {
"result": arg1 + arg2,
}
```
### A JavaScript code example
```JavaScript
const axios = require('axios');
async function main(args) {
try {
const response = await axios.get('https://github.com/infiniflow/ragflow');
console.log('Body:', response.data);
} catch (error) {
console.error('Error:', error.message);
}
}
```

View File

@ -1,5 +1,5 @@
---
sidebar_position: 18
sidebar_position: 13
slug: /note_component
---

View File

@ -25,7 +25,7 @@ When debugging your chat assistant, you can use AI search as a reference to veri
## Frequently asked questions
### key difference between an AI search and an AI chat?
### Key difference between an AI search and an AI chat?
A chat is a multi-turn AI conversation where you can define your retrieval strategy (a weighted reranking score can be used to replace the weighted vector similarity in a hybrid search) and choose your chat model. In an AI chat, you can configure advanced RAG strategies, such as knowledge graphs, auto-keyword, and auto-question, for your specific case. Retrieved chunks are not displayed along with the answer.

View File

@ -30,7 +30,7 @@ In the **Variable** section, you add, remove, or update variables.
`{knowledge}` is the system's reserved variable, representing the chunks retrieved from the knowledge base(s) specified by **Knowledge bases** under the **Assistant settings** tab. If your chat assistant is associated with certain knowledge bases, you can keep it as is.
:::info NOTE
It does not currently make a difference whether you set `{knowledge}` to optional or mandatory, but note that this design will be updated at a later point.
It currently makes no difference whether `{knowledge}` is set as optional or mandatory, but please note this design will be updated in due course.
:::
From v0.17.0 onward, you can start an AI chat without specifying knowledge bases. In this case, we recommend removing the `{knowledge}` variable to prevent unnecessary reference and keeping the **Empty response** field empty to avoid errors.

View File

@ -16,4 +16,4 @@ Please note that some of your settings may consume a significant amount of time.
- On the configuration page of your knowledge base, switch off **Use RAPTOR to enhance retrieval**.
- Extracting knowledge graph (GraphRAG) is time-consuming.
- Disable **Auto-keyword** and **Auto-question** on the configuration page of your knowledge base, as both depend on the LLM.
- **v0.17.0+:** If your document is plain text PDF and does not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.
- **v0.17.0+:** If all PDFs in your knowledge base are plain text and do not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.

View File

@ -1,5 +1,5 @@
---
sidebar_position: 0
sidebar_position: -1
slug: /configure_knowledge_base
---

View File

@ -47,7 +47,7 @@ The RAPTOR feature is disabled by default. To enable it, manually switch on the
### Prompt
The following prompt will be applied recursively for cluster summarization, with `{cluster_content}` serving as an internal parameter. We recommend that you keep it as-is for now. The design will be updated at a later point.
The following prompt will be applied recursively for cluster summarization, with `{cluster_content}` serving as an internal parameter. We recommend that you keep it as-is for now. The design will be updated in due course.
```
Please summarize the following paragraphs... Paragraphs as following:

View File

@ -0,0 +1,53 @@
---
sidebar_position: 2
slug: /select_pdf_parser
---
# Select PDF parser
Select a visual model for parsing your PDFs.
---
RAGFlow isn't one-size-fits-all. It is built for flexibility and supports deeper customization to accommodate more complex use cases. From v0.17.0 onwards, RAGFlow decouples DeepDoc-specific data extraction tasks from chunking methods **for PDF files**. This separation enables you to autonomously select a visual model for OCR (Optical Character Recognition), TSR (Table Structure Recognition), and DLR (Document Layout Recognition) tasks that balances speed and performance to suit your specific use cases. If your PDFs contain only plain text, you can opt to skip these tasks by selecting the **Naive** option, to reduce the overall parsing time.
![data extraction](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/data_extraction.jpg)
## Prerequisites
- The PDF parser dropdown menu appears only when you select a chunking method compatible with PDFs, including:
- **General**
- **Manual**
- **Paper**
- **Book**
- **Laws**
- **Presentation**
- **One**
- To use a third-party visual model for parsing PDFs, ensure you have set a default img2txt model under **Set default models** on the **Model providers** page.
## Procedure
1. On your knowledge base's **Configuration** page, select a chunking method, say **General**.
_The **PDF parser** dropdown menu appears._
2. Select the option that works best with your scenario:
- DeepDoc: (Default) The default visual model for OCR, TSR, and DLR tasks, which is time-consuming.
- Naive: Skip OCR, TSR, and DLR tasks if *all* your PDFs are plain text.
- A third-party visual model provided by a specific model provider.
:::caution WARNING
Third-party visual models are marked **Experimental**, because we have not fully tested these models for the aforementioned data extraction tasks.
:::
## Frequently asked questions
### When should I select DeepDoc or a third-party visual model as the PDF parser?
Use a visual model to extract data if your PDFs contain formatted or image-based text rather than plain text. DeepDoc is the default visual model but can be time-consuming. You can also choose a lightweight or high-performance img2txt model depending on your needs and hardware capabilities.
### Can I select a visual model to parse my DOCX files?
No, you cannot. This dropdown menu is for PDFs only. To use this feature, convert your DOCX files to PDF first.

View File

@ -1,5 +1,5 @@
---
sidebar_position: 1
sidebar_position: 0
slug: /set_metada
---
@ -19,4 +19,10 @@ For example, if you have a dataset of HTML files and want the LLM to cite the so
Ensure that your metadata is in JSON format; otherwise, your updates will not be applied.
:::
![Image](https://github.com/user-attachments/assets/379cf2c5-4e37-4b79-8aeb-53bf8e01d326)
![Image](https://github.com/user-attachments/assets/379cf2c5-4e37-4b79-8aeb-53bf8e01d326)
## Frequently asked questions
### Can I set metadata for multiple documents at once?
No, RAGFlow does not support batch metadata setting. If you still consider this feature essential, please [raise an issue](https://github.com/infiniflow/ragflow/issues) explaining your use case and its importance.

View File

@ -49,6 +49,6 @@ After logging into RAGFlow, you can *only* configure API Key on the **Model prov
5. Click **OK** to confirm your changes.
:::note
To update an existing model API key at a later point:
To update an existing model API key:
![update api key](https://github.com/infiniflow/ragflow/assets/93570324/0bfba679-33f7-4f6b-9ed6-f0e6e4b228ad)
:::

View File

@ -267,8 +267,6 @@ To add and configure an LLM:
![add llm](https://github.com/infiniflow/ragflow/assets/93570324/10635088-028b-4b3d-add9-5c5a6e626814)
> Each RAGFlow account is able to use **text-embedding-v2** for free, an embedding model of Tongyi-Qianwen. This is why you can see Tongyi-Qianwen in the **Added models** list. And you may need to update your Tongyi-Qianwen API key at a later point.
2. Click on the desired LLM and update the API key accordingly (DeepSeek-V2 in this case):
![update api key](https://github.com/infiniflow/ragflow/assets/93570324/4e5e13ef-a98d-42e6-bcb1-0c6045fc1666)

View File

@ -31,13 +31,13 @@ Released on May 26, 2025.
- Cross-language search is supported in the Knowledge and Chat modules, enhancing search accuracy and user experience in multilingual environments, such as in Chinese-English knowledge bases.
- Agent component: A new Code component supports Python and JavaScript scripts, enabling developers to handle more complex tasks like dynamic data processing.
- Enhanced image display: Images in Chat and Search now render directly within responses, rather than as external references. Knowledge retrieval testing can retrieve images directly, instead of texts extracted from images.
- Claude 4 and ChatGPT o3: Developers can now use the newly released, most advanced Claude model alongside OpenAIs latest ChatGPT o3 inference model.
- Claude 4: Developers can now use the newly released, most advanced Claude model.
> The following features are contributed by our community contributors:
- Agent component: Enables tool calling within the Generate Component. Thanks to [notsyncing](https://github.com/notsyncing).
- Markdown rendering: Image references in a markdown file can be displayed after chunking. Thanks to [Woody-Hu](https://github.com/Woody-Hu).
- Document engine support: OpenSearch can now be used as RAGFlow's document engine. Thanks to [pyyuhao](https://github.com/pyyuhao).
- Agent component: Enables tool calling within the Generate Component. Kudos to [notsyncing](https://github.com/notsyncing).
- Markdown rendering: Image references in a markdown file can be displayed after chunking. Kudos to [Woody-Hu](https://github.com/Woody-Hu).
- Vector database support: OpenSearch can now be used as RAGFlow's document engine. Kudos to [pyyuhao](https://github.com/pyyuhao).
## v0.18.0
@ -143,7 +143,7 @@ Released on March 3, 2025.
- AI chat: Leverages Tavily-based web search to enhance contexts in agentic reasoning. To activate this, enter the correct Tavily API key under the **Assistant settings** tab of your chat assistant dialogue.
- AI chat: Supports starting a chat without specifying knowledge bases.
- AI chat: HTML files can also be previewed and referenced, in addition to PDF files.
- Dataset: Adds a **PDF parser**, aka **Document parser**, dropdown menu to dataset configurations. This includes a DeepDoc model option, which is time-consuming, a much faster **naive** option (plain text), which skips DLA (Document Layout Analysis), OCR (Optical Character Recognition), and TSR (Table Structure Recognition) tasks, and several currently *experimental* large model options.
- Dataset: Adds a **PDF parser**, aka **Document parser**, dropdown menu to dataset configurations. This includes a DeepDoc model option, which is time-consuming, a much faster **naive** option (plain text), which skips DLA (Document Layout Analysis), OCR (Optical Character Recognition), and TSR (Table Structure Recognition) tasks, and several currently *experimental* large model options. See [here](./guides/dataset/select_pdf_parser.md).
- Agent component: **(x)** or a forward slash `/` can be used to insert available keys (variables) in the system prompt field of the **Generate** or **Template** component.
- Object storage: Supports using Aliyun OSS (Object Storage Service) as a file storage option.
- Models: Updates the supported model list for Tongyi-Qianwen (Qwen), adding DeepSeek-specific models; adds ModelScope as a model provider.

View File

@ -343,7 +343,7 @@ def remove_contents_table(sections, eng=False):
type("")) else sections[i][0]).strip()
if not re.match(r"(contents|目录|目次|table of contents|致谢|acknowledge)$",
re.sub(r"( | |\u3000)+", "", get(i).split("@@")[0], re.IGNORECASE)):
re.sub(r"( | |\u3000)+", "", get(i).split("@@")[0], flags=re.IGNORECASE)):
i += 1
continue
sections.pop(i)
@ -524,7 +524,7 @@ def naive_merge(sections, chunk_token_num=128, delimiter="\n。"):
if tnum < 8:
pos = ""
# Ensure that the length of the merged chunk does not exceed chunk_token_num
if tk_nums[-1] > chunk_token_num:
if cks[-1] == "" or tk_nums[-1] > chunk_token_num:
if t.find(pos) < 0:
t += pos
@ -560,7 +560,7 @@ def naive_merge_with_images(texts, images, chunk_token_num=128, delimiter="\n。
if tnum < 8:
pos = ""
# Ensure that the length of the merged chunk does not exceed chunk_token_num
if tk_nums[-1] > chunk_token_num:
if cks[-1] == "" or tk_nums[-1] > chunk_token_num:
if t.find(pos) < 0:
t += pos
cks.append(t)
@ -627,7 +627,7 @@ def naive_merge_docx(sections, chunk_token_num=128, delimiter="\n。"):
tnum = num_tokens_from_string(t)
if tnum < 8:
pos = ""
if tk_nums[-1] > chunk_token_num:
if cks[-1] == "" or tk_nums[-1] > chunk_token_num:
if t.find(pos) < 0:
t += pos
cks.append(t)

View File

@ -71,7 +71,19 @@ class FulltextQueryer:
txt = otxt
return txt
@staticmethod
def add_space_between_eng_zh(txt):
# (ENG/ENG+NUM) + ZH
txt = re.sub(r'([A-Za-z]+[0-9]+)([\u4e00-\u9fa5]+)', r'\1 \2', txt)
# ENG + ZH
txt = re.sub(r'([A-Za-z])([\u4e00-\u9fa5]+)', r'\1 \2', txt)
# ZH + (ENG/ENG+NUM)
txt = re.sub(r'([\u4e00-\u9fa5]+)([A-Za-z]+[0-9]+)', r'\1 \2', txt)
txt = re.sub(r'([\u4e00-\u9fa5]+)([A-Za-z])', r'\1 \2', txt)
return txt
def question(self, txt, tbl="qa", min_match: float = 0.6):
txt = FulltextQueryer.add_space_between_eng_zh(txt)
txt = re.sub(
r"[ :|\r\n\t,,。??/`!&^%%()\[\]{}<>]+",
" ",

View File

@ -368,6 +368,10 @@ async def build_chunks(task, progress_callback):
docs_to_tag = []
for d in docs:
task_canceled = TaskService.do_cancel(task["id"])
if task_canceled:
progress_callback(-1, msg="Task has been canceled.")
return
if settings.retrievaler.tag_content(tenant_id, kb_ids, d, all_tags, topn_tags=topn_tags, S=S) and len(d[TAG_FLD]) > 0:
examples.append({"content": d["content_with_weight"], TAG_FLD: d[TAG_FLD]})
else:
@ -577,8 +581,22 @@ async def do_handle_task(task):
start_ts = timer()
doc_store_result = ""
es_bulk_size = 4
async def delete_image(kb_id, chunk_id):
try:
async with minio_limiter:
STORAGE_IMPL.delete(kb_id, chunk_id)
except Exception:
logging.exception(
"Deleting image of chunk {}/{}/{} got exception".format(task["location"], task["name"], chunk_id))
raise
for b in range(0, len(chunks), es_bulk_size):
doc_store_result = await trio.to_thread.run_sync(lambda: settings.docStoreConn.insert(chunks[b:b + es_bulk_size], search.index_name(task_tenant_id), task_dataset_id))
task_canceled = TaskService.do_cancel(task_id)
if task_canceled:
progress_callback(-1, msg="Task has been canceled.")
return
if b % 128 == 0:
progress_callback(prog=0.8 + 0.1 * (b + 1) / len(chunks), msg="")
if doc_store_result:
@ -592,7 +610,11 @@ async def do_handle_task(task):
except DoesNotExist:
logging.warning(f"do_handle_task update_chunk_ids failed since task {task['id']} is unknown.")
doc_store_result = await trio.to_thread.run_sync(lambda: settings.docStoreConn.delete({"id": chunk_ids}, search.index_name(task_tenant_id), task_dataset_id))
async with trio.open_nursery() as nursery:
for chunk_id in chunk_ids:
nursery.start_soon(delete_image, task_dataset_id, chunk_id)
return
logging.info("Indexing doc({}), page({}-{}), chunks({}), elapsed: {:.2f}".format(task_document_name, task_from_page,
task_to_page, len(chunks),
timer() - start_ts))

114
sandbox/Makefile Normal file
View File

@ -0,0 +1,114 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
# Force using Bash to ensure the source command is available
SHELL := /bin/bash
# Environment variable definitions
VENV := .venv
PYTHON := $(VENV)/bin/python
UV := uv
ACTIVATE_SCRIPT := $(VENV)/bin/activate
SYS_PYTHON := python3
PYTHONPATH := $(shell pwd)
.PHONY: all setup ensure_env ensure_uv start stop restart build clean test logs
all: setup start
# 🌱 Initialize environment + install dependencies
setup: ensure_env ensure_uv
@echo "📦 Installing dependencies with uv..."
source $(ACTIVATE_SCRIPT) && \
export PYTHONPATH=$(PYTHONPATH)
@$(UV) pip install -r executor_manager/requirements.txt
@echo "✅ Setup complete."
# 🔑 Ensure .env exists (copy from .env.example on first run)
ensure_env:
@if [ ! -f ".env" ]; then \
if [ -f ".env.example" ]; then \
echo "📝 Creating .env from .env.example..."; \
cp .env.example .env; \
else \
echo "⚠️ Warning: .env.example not found, creating empty .env"; \
touch .env; \
fi; \
else \
echo "✅ .env already exists."; \
fi
# 🔧 Ensure uv is executable (install using system Python)
ensure_uv:
@if ! command -v $(UV) >/dev/null 2>&1; then \
echo "🛠️ Installing uv using system Python..."; \
$(SYS_PYTHON) -m pip install -q --upgrade pip; \
$(SYS_PYTHON) -m pip install -q uv || (echo "⚠️ uv install failed, check manually" && exit 1); \
fi
# 🐳 Service control (using safer variable loading)
start:
@echo "🚀 Starting services..."
source $(ACTIVATE_SCRIPT) && \
export PYTHONPATH=$(PYTHONPATH) && \
[ -f .env ] && source .env || true && \
bash scripts/start.sh
stop:
@echo "🛑 Stopping services..."
source $(ACTIVATE_SCRIPT) && \
bash scripts/stop.sh
restart: stop start
@echo "🔁 Restarting services..."
build:
@echo "🔧 Building base sandbox images..."
@if [ -f .env ]; then \
source .env && \
echo "🐍 Building base sandbox image for Python ($$SANDBOX_BASE_PYTHON_IMAGE)..." && \
docker build -t "$$SANDBOX_BASE_PYTHON_IMAGE" ./sandbox_base_image/python && \
echo "⬢ Building base sandbox image for Nodejs ($$SANDBOX_BASE_NODEJS_IMAGE)..." && \
docker build -t "$$SANDBOX_BASE_NODEJS_IMAGE" ./sandbox_base_image/nodejs; \
else \
echo "⚠️ .env file not found, skipping build."; \
fi
test:
@echo "🧪 Running sandbox security tests..."
source $(ACTIVATE_SCRIPT) && \
export PYTHONPATH=$(PYTHONPATH) && \
$(PYTHON) tests/sandbox_security_tests_full.py
logs:
@echo "📋 Showing logs from api-server and executor-manager..."
docker compose logs -f
# 🧹 Clean all containers and volumes
clean:
@echo "🧹 Cleaning all containers and volumes..."
@docker compose down -v || true
@if [ -f .env ]; then \
source .env && \
for i in $$(seq 0 $$((SANDBOX_EXECUTOR_MANAGER_POOL_SIZE - 1))); do \
echo "🧹 Deleting sandbox_python_$$i..." && \
docker rm -f sandbox_python_$$i 2>/dev/null || true && \
echo "🧹 Deleting sandbox_nodejs_$$i..." && \
docker rm -f sandbox_nodejs_$$i 2>/dev/null || true; \
done; \
else \
echo "⚠️ .env not found, skipping container cleanup"; \
fi

218
sandbox/README.md Normal file
View File

@ -0,0 +1,218 @@
# RAGFlow Sandbox
A secure, pluggable code execution backend for RAGFlow and beyond.
## 🔧 Features
-**Seamless RAGFlow Integration** — Out-of-the-box compatibility with the `code` component.
- 🔐 **High Security** — Leverages [gVisor](https://gvisor.dev/) for syscall-level sandboxing.
- 🔧 **Customizable Sandboxing** — Easily modify `seccomp` settings as needed.
- 🧩 **Pluggable Runtime Support** — Easily extend to support any programming language.
- ⚙️ **Developer Friendly** — Get started with a single command using `Makefile`.
## 🏗 Architecture
<p align="center">
<img src="asserts/code_executor_manager.svg" width="520" alt="Architecture Diagram">
</p>
## 🚀 Quick Start
### 📋 Prerequisites
#### Required
- Linux distro compatible with gVisor
- [gVisor](https://gvisor.dev/docs/user_guide/install/)
- Docker >= `24.0.0`
- Docker Compose >= `v2.26.1` like [RAGFlow](https://github.com/infiniflow/ragflow)
- [uv](https://docs.astral.sh/uv/) as package and project manager
#### Optional (Recommended)
- [GNU Make](https://www.gnu.org/software/make/) for simplified CLI management
---
### 🐳 Build Docker Base Images
We use isolated base images for secure containerized execution:
```bash
# Build base images manually
docker build -t sandbox-base-python:latest ./sandbox_base_image/python
docker build -t sandbox-base-nodejs:latest ./sandbox_base_image/nodejs
# OR use Makefile
make build
```
Then, build the executor manager image:
```bash
docker build -t sandbox-executor-manager:latest ./executor_manager
```
---
### 📦 Running with RAGFlow
1. Ensure gVisor is correctly installed.
2. Configure your `.env` in `docker/.env`:
- Uncomment sandbox-related variables.
- Enable sandbox profile at the bottom.
3. Add the following line to `/etc/hosts` as recommended:
```text
127.0.0.1 sandbox-executor-manager
```
4. Start RAGFlow service.
---
### 🧭 Running Standalone
#### Manual Setup
1. Initialize environment:
```bash
cp .env.example .env
```
2. Launch:
```bash
docker compose -f docker-compose.yml up
```
3. Test:
```bash
source .venv/bin/activate
export PYTHONPATH=$(pwd)
uv pip install -r executor_manager/requirements.txt
uv run tests/sandbox_security_tests_full.py
```
#### With Make
```bash
make # setup + build + launch + test
```
---
### 📈 Monitoring
```bash
docker logs -f sandbox-executor-manager # Manual
make logs # With Make
```
---
### 🧰 Makefile Toolbox
| Command | Description |
| ----------------- | ------------------------------------------------ |
| `make` | Setup, build, launch and test all at once |
| `make setup` | Initialize environment and install uv |
| `make ensure_env` | Auto-create `.env` if missing |
| `make ensure_uv` | Install `uv` package manager if missing |
| `make build` | Build all Docker base images |
| `make start` | Start services with safe env loading and testing |
| `make stop` | Gracefully stop all services |
| `make restart` | Shortcut for `stop` + `start` |
| `make test` | Run full test suite |
| `make logs` | Stream container logs |
| `make clean` | Stop and remove orphan containers and volumes |
---
## 🔐 Security
The RAGFlow sandbox is designed to balance security and usability, offering solid protection without compromising developer experience.
### ✅ gVisor Isolation
At its core, we use [gVisor](https://gvisor.dev/docs/architecture_guide/security/), a user-space kernel, to isolate code execution from the host system. gVisor intercepts and restricts syscalls, offering robust protection against container escapes and privilege escalations.
### 🔒 Optional seccomp Support (Advanced)
For users who need **zero-trust-level syscall control**, we support an additional `seccomp` profile. This feature restricts containers to only a predefined set of system calls, as specified in `executor_manager/seccomp-profile-default.json`.
> ⚠️ This feature is **disabled by default** to maintain compatibility and usability. Enabling it may cause compatibility issues with some dependencies.
#### To enable seccomp
1. Edit your `.env` file:
```dotenv
SANDBOX_ENABLE_SECCOMP=true
```
2. Customize allowed syscalls in:
```
executor_manager/seccomp-profile-default.json
```
This profile is passed to the container with:
```bash
--security-opt seccomp=/app/seccomp-profile-default.json
```
### 🧠 Python Code AST Inspection
In addition to sandboxing, Python code is **statically analyzed via AST (Abstract Syntax Tree)** before execution. Potentially malicious code (e.g. file operations, subprocess calls, etc.) is rejected early, providing an extra layer of protection.
---
This security model strikes a balance between **robust isolation** and **developer usability**. While `seccomp` can be highly restrictive, our default setup aims to keep things usable for most developers — no obscure crashes or cryptic setup required.
## 📦 Add Extra Dependencies for Supported Languages
Currently, the following languages are officially supported:
| Language | Priority |
| -------- | -------- |
| Python | High |
| Node.js | Medium |
### 🐍 Python
To add Python dependencies, simply edit the following file:
```bash
sandbox_base_image/python/requirements.txt
```
Add any additional packages you need, one per line (just like a normal pip requirements file).
### 🟨 Node.js
To add Node.js dependencies:
1. Navigate to the Node.js base image directory:
```bash
cd sandbox_base_image/nodejs
```
2. Use `npm` to install the desired packages. For example:
```bash
npm install lodash
```
3. The dependencies will be saved to `package.json` and `package-lock.json`, and included in the Docker image when rebuilt.
---
## 🤝 Contribution
Contributions are welcome!

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@ -0,0 +1,31 @@
services:
sandbox-executor-manager:
container_name: sandbox-executor-manager
build:
context: .
dockerfile: executor_manager/Dockerfile
image: sandbox-executor-manager:latest
runtime: runc
privileged: true
ports:
- "${EXECUTOR_PORT:-9385}:9385"
volumes:
- /var/run/docker.sock:/var/run/docker.sock
networks:
- sandbox-network
restart: always
security_opt:
- no-new-privileges:true
environment:
- SANDBOX_EXECUTOR_MANAGER_POOL_SIZE=${SANDBOX_EXECUTOR_MANAGER_POOL_SIZE:-5}
- SANDBOX_BASE_PYTHON_IMAGE=${SANDBOX_BASE_PYTHON_IMAGE-"sandbox-base-python:latest"}
- SANDBOX_BASE_NODEJS_IMAGE=${SANDBOX_BASE_NODEJS_IMAGE-"sandbox-base-nodejs:latest"}
- SANDBOX_ENABLE_SECCOMP=${SANDBOX_ENABLE_SECCOMP:-false}
healthcheck:
test: ["CMD-SHELL", "curl --fail http://localhost:9385/healthz || exit 1"]
interval: 10s
timeout: 5s
retries: 5
networks:
sandbox-network:
driver: bridge

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@ -0,0 +1,23 @@
FROM python:3.11-slim-bookworm
RUN grep -rl 'deb.debian.org' /etc/apt/ | xargs sed -i 's|http[s]*://deb.debian.org|https://mirrors.tuna.tsinghua.edu.cn|g' && \
apt-get update && \
apt-get install -y curl gcc && \
rm -rf /var/lib/apt/lists/*
RUN curl -fsSL https://mirrors.aliyun.com/docker-ce/linux/static/stable/x86_64/docker-24.0.7.tgz -o docker.tgz && \
tar -xzf docker.tgz && \
mv docker/docker /usr/bin/docker && \
rm -rf docker docker.tgz
COPY --from=ghcr.io/astral-sh/uv:0.7.5 /uv /uvx /bin/
ENV UV_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
WORKDIR /app
COPY executor_manager/ .
RUN uv pip install --system -r requirements.txt
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "9385"]

View File

@ -0,0 +1,15 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#

View File

@ -0,0 +1,44 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import base64
from core.logger import logger
from fastapi import Request
from models.enums import ResultStatus
from models.schemas import CodeExecutionRequest, CodeExecutionResult
from services.execution import execute_code
from services.limiter import limiter
from services.security import analyze_code_security
async def healthz_handler():
return {"status": "ok"}
@limiter.limit("5/second")
async def run_code_handler(req: CodeExecutionRequest, request: Request):
logger.info("🟢 Received /run request")
code = base64.b64decode(req.code_b64).decode("utf-8")
is_safe, issues = analyze_code_security(code, language=req.language)
if not is_safe:
issue_details = "\n".join([f"Line {lineno}: {issue}" for issue, lineno in issues])
return CodeExecutionResult(status=ResultStatus.PROGRAM_RUNNER_ERROR, stdout="", stderr=issue_details, exit_code=-999, detail="Code is unsafe")
try:
return await execute_code(req)
except Exception as e:
return CodeExecutionResult(status=ResultStatus.PROGRAM_RUNNER_ERROR, stdout="", stderr=str(e), exit_code=-999, detail="unhandled_exception")

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@ -0,0 +1,23 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
from fastapi import APIRouter
from api.handlers import healthz_handler, run_code_handler
router = APIRouter()
router.get("/healthz")(healthz_handler)
router.post("/run")(run_code_handler)

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import os
from contextlib import asynccontextmanager
from fastapi import FastAPI
from util import format_timeout_duration, parse_timeout_duration
from core.container import init_containers, teardown_containers
from core.logger import logger
TIMEOUT = 10
@asynccontextmanager
async def _lifespan(app: FastAPI):
"""Asynchronous lifecycle management"""
size = int(os.getenv("SANDBOX_EXECUTOR_MANAGER_POOL_SIZE", 1))
success_count, total_task_count = await init_containers(size)
logger.info(f"\n📊 Container pool initialization complete: {success_count}/{total_task_count} available")
yield
await teardown_containers()
def init():
TIMEOUT = parse_timeout_duration(os.getenv("SANDBOX_TIMEOUT"))
logger.info(f"Global timeout: {format_timeout_duration(TIMEOUT)}")
return _lifespan

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import asyncio
import contextlib
import os
import time
from queue import Empty, Queue
from threading import Lock
from models.enums import SupportLanguage
from util import env_setting_enabled, is_valid_memory_limit
from utils.common import async_run_command
from core.logger import logger
_CONTAINER_QUEUES: dict[SupportLanguage, Queue] = {}
_CONTAINER_LOCK: Lock = Lock()
async def init_containers(size: int) -> tuple[int, int]:
global _CONTAINER_QUEUES
_CONTAINER_QUEUES = {SupportLanguage.PYTHON: Queue(), SupportLanguage.NODEJS: Queue()}
with _CONTAINER_LOCK:
while not _CONTAINER_QUEUES[SupportLanguage.PYTHON].empty():
_CONTAINER_QUEUES[SupportLanguage.PYTHON].get_nowait()
while not _CONTAINER_QUEUES[SupportLanguage.NODEJS].empty():
_CONTAINER_QUEUES[SupportLanguage.NODEJS].get_nowait()
create_tasks = []
for i in range(size):
name = f"sandbox_python_{i}"
logger.info(f"🛠️ Creating Python container {i + 1}/{size}")
create_tasks.append(_prepare_container(name, SupportLanguage.PYTHON))
name = f"sandbox_nodejs_{i}"
logger.info(f"🛠️ Creating Node.js container {i + 1}/{size}")
create_tasks.append(_prepare_container(name, SupportLanguage.NODEJS))
results = await asyncio.gather(*create_tasks, return_exceptions=True)
success_count = sum(1 for r in results if r is True)
total_task_count = len(create_tasks)
return success_count, total_task_count
async def teardown_containers():
with _CONTAINER_LOCK:
while not _CONTAINER_QUEUES[SupportLanguage.PYTHON].empty():
name = _CONTAINER_QUEUES[SupportLanguage.PYTHON].get_nowait()
await async_run_command("docker", "rm", "-f", name, timeout=5)
while not _CONTAINER_QUEUES[SupportLanguage.NODEJS].empty():
name = _CONTAINER_QUEUES[SupportLanguage.NODEJS].get_nowait()
await async_run_command("docker", "rm", "-f", name, timeout=5)
async def _prepare_container(name: str, language: SupportLanguage) -> bool:
"""Prepare a single container"""
with contextlib.suppress(Exception):
await async_run_command("docker", "rm", "-f", name, timeout=5)
if await create_container(name, language):
_CONTAINER_QUEUES[language].put(name)
return True
return False
async def create_container(name: str, language: SupportLanguage) -> bool:
"""Asynchronously create a container"""
create_args = [
"docker",
"run",
"-d",
"--runtime=runsc",
"--name",
name,
"--read-only",
"--tmpfs",
"/workspace:rw,exec,size=100M,uid=65534,gid=65534",
"--tmpfs",
"/tmp:rw,exec,size=50M",
"--user",
"nobody",
"--workdir",
"/workspace",
]
if os.getenv("SANDBOX_MAX_MEMORY"):
memory_limit = os.getenv("SANDBOX_MAX_MEMORY") or "256m"
if is_valid_memory_limit(memory_limit):
logger.info(f"SANDBOX_MAX_MEMORY: {os.getenv('SANDBOX_MAX_MEMORY')}")
else:
logger.info("Invalid SANDBOX_MAX_MEMORY, using default value: 256m")
memory_limit = "256m"
create_args.extend(["--memory", memory_limit])
else:
logger.info("Set default SANDBOX_MAX_MEMORY: 256m")
create_args.extend(["--memory", "256m"])
if env_setting_enabled("SANDBOX_ENABLE_SECCOMP", "false"):
logger.info(f"SANDBOX_ENABLE_SECCOMP: {os.getenv('SANDBOX_ENABLE_SECCOMP')}")
create_args.extend(["--security-opt", "seccomp=/app/seccomp-profile-default.json"])
if language == SupportLanguage.PYTHON:
create_args.append(os.getenv("SANDBOX_BASE_PYTHON_IMAGE", "sandbox-base-python:latest"))
elif language == SupportLanguage.NODEJS:
create_args.append(os.getenv("SANDBOX_BASE_NODEJS_IMAGE", "sandbox-base-nodejs:latest"))
logger.info(f"Sandbox config:\n\t {create_args}")
try:
returncode, _, stderr = await async_run_command(*create_args, timeout=10)
if returncode != 0:
logger.error(f"❌ Container creation failed {name}: {stderr}")
return False
if language == SupportLanguage.NODEJS:
copy_cmd = ["docker", "exec", name, "bash", "-c", "cp -a /app/node_modules /workspace/"]
returncode, _, stderr = await async_run_command(*copy_cmd, timeout=10)
if returncode != 0:
logger.error(f"❌ Failed to prepare dependencies for {name}: {stderr}")
return False
return await container_is_running(name)
except Exception as e:
logger.error(f"❌ Container creation exception {name}: {str(e)}")
return False
async def recreate_container(name: str, language: SupportLanguage) -> bool:
"""Asynchronously recreate a container"""
logger.info(f"🛠️ Recreating container: {name}")
try:
await async_run_command("docker", "rm", "-f", name, timeout=5)
return await create_container(name, language)
except Exception as e:
logger.error(f"❌ Container {name} recreation failed: {str(e)}")
return False
async def release_container(name: str, language: SupportLanguage):
"""Asynchronously release a container"""
with _CONTAINER_LOCK:
if await container_is_running(name):
_CONTAINER_QUEUES[language].put(name)
logger.info(f"🟢 Released container: {name} (remaining available: {_CONTAINER_QUEUES[language].qsize()})")
else:
logger.warning(f"⚠️ Container {name} has crashed, attempting to recreate...")
if await recreate_container(name, language):
_CONTAINER_QUEUES[language].put(name)
logger.info(f"✅ Container {name} successfully recreated and returned to queue")
async def allocate_container_blocking(language: SupportLanguage, timeout=10) -> str:
"""Asynchronously allocate an available container"""
start_time = time.time()
while time.time() - start_time < timeout:
try:
name = _CONTAINER_QUEUES[language].get_nowait()
with _CONTAINER_LOCK:
if not await container_is_running(name) and not await recreate_container(name, language):
continue
return name
except Empty:
await asyncio.sleep(0.1)
return ""
async def container_is_running(name: str) -> bool:
"""Asynchronously check the container status"""
try:
returncode, stdout, _ = await async_run_command("docker", "inspect", "-f", "{{.State.Running}}", name, timeout=2)
return returncode == 0 and stdout.strip() == "true"
except Exception:
return False

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("sandbox")

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
from api.routes import router as api_router
from core.config import init
from fastapi import FastAPI
from services.limiter import limiter, rate_limit_exceeded_handler
from slowapi.errors import RateLimitExceeded
app = FastAPI(lifespan=init())
app.include_router(api_router)
app.state.limiter = limiter
app.add_exception_handler(RateLimitExceeded, rate_limit_exceeded_handler)

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
from enum import Enum
class SupportLanguage(str, Enum):
PYTHON = "python"
NODEJS = "nodejs"
class ResultStatus(str, Enum):
SUCCESS = "success"
PROGRAM_ERROR = "program_error"
RESOURCE_LIMIT_EXCEEDED = "resource_limit_exceeded"
UNAUTHORIZED_ACCESS = "unauthorized_access"
RUNTIME_ERROR = "runtime_error"
PROGRAM_RUNNER_ERROR = "program_runner_error"
class ResourceLimitType(str, Enum):
TIME = "time"
MEMORY = "memory"
OUTPUT = "output"
class UnauthorizedAccessType(str, Enum):
DISALLOWED_SYSCALL = "disallowed_syscall"
FILE_ACCESS = "file_access"
NETWORK_ACCESS = "network_access"
class RuntimeErrorType(str, Enum):
SIGNALLED = "signalled"
NONZERO_EXIT = "nonzero_exit"

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import base64
from typing import Optional
from pydantic import BaseModel, Field, field_validator
from models.enums import ResourceLimitType, ResultStatus, RuntimeErrorType, SupportLanguage, UnauthorizedAccessType
class CodeExecutionResult(BaseModel):
status: ResultStatus
stdout: str
stderr: str
exit_code: int
detail: Optional[str] = None
# Resource usage
time_used_ms: Optional[float] = None
memory_used_kb: Optional[float] = None
# Error details
resource_limit_type: Optional[ResourceLimitType] = None
unauthorized_access_type: Optional[UnauthorizedAccessType] = None
runtime_error_type: Optional[RuntimeErrorType] = None
class CodeExecutionRequest(BaseModel):
code_b64: str = Field(..., description="Base64 encoded code string")
language: SupportLanguage = Field(default=SupportLanguage.PYTHON, description="Programming language")
arguments: Optional[dict] = Field(default={}, description="Arguments")
@field_validator("code_b64")
@classmethod
def validate_base64(cls, v: str) -> str:
try:
base64.b64decode(v, validate=True)
return v
except Exception as e:
raise ValueError(f"Invalid base64 encoding: {str(e)}")

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fastapi
uvicorn
slowapi

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{
"defaultAction": "SCMP_ACT_ERRNO",
"archMap": [
{
"architecture": "SCMP_ARCH_X86_64",
"subArchitectures": [
"SCMP_ARCH_X86",
"SCMP_ARCH_X32"
]
}
],
"syscalls": [
{
"names": [
"read",
"write",
"exit",
"sigreturn",
"brk",
"mmap",
"munmap",
"rt_sigaction",
"rt_sigprocmask",
"futex",
"clone",
"execve",
"arch_prctl",
"access",
"openat",
"close",
"stat",
"fstat",
"lstat",
"getpid",
"gettid",
"getuid",
"getgid",
"geteuid",
"getegid",
"clock_gettime",
"nanosleep",
"uname",
"writev",
"readlink",
"getrandom",
"statx",
"faccessat2",
"pread64",
"pwrite64",
"rt_sigreturn"
],
"action": "SCMP_ACT_ALLOW"
}
]
}

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import asyncio
import base64
import json
import os
import time
import uuid
from core.config import TIMEOUT
from core.container import allocate_container_blocking, release_container
from core.logger import logger
from models.enums import ResourceLimitType, ResultStatus, RuntimeErrorType, SupportLanguage, UnauthorizedAccessType
from models.schemas import CodeExecutionRequest, CodeExecutionResult
from utils.common import async_run_command
async def execute_code(req: CodeExecutionRequest):
"""Fully asynchronous execution logic"""
language = req.language
container = await allocate_container_blocking(language)
if not container:
return CodeExecutionResult(
status=ResultStatus.PROGRAM_RUNNER_ERROR,
stdout="",
stderr="Container pool is busy",
exit_code=-10,
detail="no_available_container",
)
task_id = str(uuid.uuid4())
workdir = f"/tmp/sandbox_{task_id}"
os.makedirs(workdir, mode=0o700, exist_ok=True)
try:
if language == SupportLanguage.PYTHON:
code_name = "main.py"
# code
code_path = os.path.join(workdir, code_name)
with open(code_path, "wb") as f:
f.write(base64.b64decode(req.code_b64))
# runner
runner_name = "runner.py"
runner_path = os.path.join(workdir, runner_name)
with open(runner_path, "w") as f:
f.write("""import json
import os
import sys
sys.path.insert(0, os.path.dirname(__file__))
from main import main
if __name__ == "__main__":
args = json.loads(sys.argv[1])
result = main(**args)
if result is not None:
print(result)
""")
elif language == SupportLanguage.NODEJS:
code_name = "main.js"
code_path = os.path.join(workdir, "main.js")
with open(code_path, "wb") as f:
f.write(base64.b64decode(req.code_b64))
runner_name = "runner.js"
runner_path = os.path.join(workdir, "runner.js")
with open(runner_path, "w") as f:
f.write("""
const fs = require('fs');
const path = require('path');
const args = JSON.parse(process.argv[2]);
const mainPath = path.join(__dirname, 'main.js');
if (fs.existsSync(mainPath)) {
const { main } = require(mainPath);
if (typeof args === 'object' && args !== null) {
main(args).then(result => {
if (result !== null) {
console.log(result);
}
}).catch(err => {
console.error('Error in main function:', err);
});
} else {
console.error('Error: args is not a valid object:', args);
}
} else {
console.error('main.js not found in the current directory');
}
""")
# dirs
returncode, _, stderr = await async_run_command("docker", "exec", container, "mkdir", "-p", f"/workspace/{task_id}", timeout=5)
if returncode != 0:
raise RuntimeError(f"Directory creation failed: {stderr}")
# archive
tar_proc = await asyncio.create_subprocess_exec("tar", "czf", "-", "-C", workdir, code_name, runner_name, stdout=asyncio.subprocess.PIPE)
tar_stdout, _ = await tar_proc.communicate()
# unarchive
docker_proc = await asyncio.create_subprocess_exec(
"docker", "exec", "-i", container, "tar", "xzf", "-", "-C", f"/workspace/{task_id}", stdin=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await docker_proc.communicate(input=tar_stdout)
if docker_proc.returncode != 0:
raise RuntimeError(stderr.decode())
# exec
start_time = time.time()
try:
logger.info(f"Passed in args: {req.arguments}")
args_json = json.dumps(req.arguments or {})
run_args = [
"docker",
"exec",
"--workdir",
f"/workspace/{task_id}",
container,
"timeout",
str(TIMEOUT),
language,
]
# flags
if language == SupportLanguage.PYTHON:
run_args.extend(["-I", "-B"])
elif language == SupportLanguage.NODEJS:
run_args.extend([])
else:
assert True, "Will never reach here"
run_args.extend([runner_name, args_json])
returncode, stdout, stderr = await async_run_command(
*run_args,
timeout=TIMEOUT + 5,
)
time_used_ms = (time.time() - start_time) * 1000
logger.info("----------------------------------------------")
logger.info(f"Code: {str(base64.b64decode(req.code_b64))}")
logger.info(f"{returncode=}")
logger.info(f"{stdout=}")
logger.info(f"{stderr=}")
logger.info(f"{args_json=}")
if returncode == 0:
return CodeExecutionResult(
status=ResultStatus.SUCCESS,
stdout=str(stdout),
stderr=stderr,
exit_code=0,
time_used_ms=time_used_ms,
)
elif returncode == 124:
return CodeExecutionResult(
status=ResultStatus.RESOURCE_LIMIT_EXCEEDED,
stdout="",
stderr="Execution timeout",
exit_code=-124,
resource_limit_type=ResourceLimitType.TIME,
time_used_ms=time_used_ms,
)
elif returncode == 137:
return CodeExecutionResult(
status=ResultStatus.RESOURCE_LIMIT_EXCEEDED,
stdout="",
stderr="Memory limit exceeded (killed by OOM)",
exit_code=-137,
resource_limit_type=ResourceLimitType.MEMORY,
time_used_ms=time_used_ms,
)
return analyze_error_result(stderr, returncode)
except asyncio.TimeoutError:
await async_run_command("docker", "exec", container, "pkill", "-9", language)
return CodeExecutionResult(
status=ResultStatus.RESOURCE_LIMIT_EXCEEDED,
stdout="",
stderr="Execution timeout",
exit_code=-1,
resource_limit_type=ResourceLimitType.TIME,
time_used_ms=(time.time() - start_time) * 1000,
)
except Exception as e:
logger.error(f"Execution exception: {str(e)}")
return CodeExecutionResult(status=ResultStatus.PROGRAM_RUNNER_ERROR, stdout="", stderr=str(e), exit_code=-3, detail="internal_error")
finally:
# cleanup
cleanup_tasks = [async_run_command("docker", "exec", container, "rm", "-rf", f"/workspace/{task_id}"), async_run_command("rm", "-rf", workdir)]
await asyncio.gather(*cleanup_tasks, return_exceptions=True)
await release_container(container, language)
def analyze_error_result(stderr: str, exit_code: int) -> CodeExecutionResult:
"""Analyze the error result and classify it"""
if "Permission denied" in stderr:
return CodeExecutionResult(
status=ResultStatus.UNAUTHORIZED_ACCESS,
stdout="",
stderr=stderr,
exit_code=exit_code,
unauthorized_access_type=UnauthorizedAccessType.FILE_ACCESS,
)
elif "Operation not permitted" in stderr:
return CodeExecutionResult(
status=ResultStatus.UNAUTHORIZED_ACCESS,
stdout="",
stderr=stderr,
exit_code=exit_code,
unauthorized_access_type=UnauthorizedAccessType.DISALLOWED_SYSCALL,
)
elif "MemoryError" in stderr:
return CodeExecutionResult(
status=ResultStatus.RESOURCE_LIMIT_EXCEEDED,
stdout="",
stderr=stderr,
exit_code=exit_code,
resource_limit_type=ResourceLimitType.MEMORY,
)
else:
return CodeExecutionResult(
status=ResultStatus.PROGRAM_ERROR,
stdout="",
stderr=stderr,
exit_code=exit_code,
runtime_error_type=RuntimeErrorType.NONZERO_EXIT,
)

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
from fastapi import Request
from fastapi.responses import JSONResponse
from models.enums import ResultStatus
from models.schemas import CodeExecutionResult
from slowapi import Limiter
from slowapi.errors import RateLimitExceeded
from slowapi.util import get_remote_address
limiter = Limiter(key_func=get_remote_address)
async def rate_limit_exceeded_handler(request: Request, exc: Exception) -> JSONResponse:
if isinstance(exc, RateLimitExceeded):
return JSONResponse(
content=CodeExecutionResult(
status=ResultStatus.PROGRAM_RUNNER_ERROR,
stdout="",
stderr="Too many requests, please try again later",
exit_code=-429,
detail="Too many requests, please try again later",
).model_dump(),
)
raise exc

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import ast
from typing import List, Tuple
from core.logger import logger
from models.enums import SupportLanguage
class SecurePythonAnalyzer(ast.NodeVisitor):
"""
An AST-based analyzer for detecting unsafe Python code patterns.
"""
DANGEROUS_IMPORTS = {"os", "subprocess", "sys", "shutil", "socket", "ctypes", "pickle", "threading", "multiprocessing", "asyncio", "http.client", "ftplib", "telnetlib"}
DANGEROUS_CALLS = {
"eval",
"exec",
"open",
"__import__",
"compile",
"input",
"system",
"popen",
"remove",
"rename",
"rmdir",
"chdir",
"chmod",
"chown",
"getattr",
"setattr",
"globals",
"locals",
"shutil.rmtree",
"subprocess.call",
"subprocess.Popen",
"ctypes",
"pickle.load",
"pickle.loads",
"pickle.dump",
"pickle.dumps",
}
def __init__(self):
self.unsafe_items: List[Tuple[str, int]] = []
def visit_Import(self, node: ast.Import):
"""Check for dangerous imports."""
for alias in node.names:
if alias.name.split(".")[0] in self.DANGEROUS_IMPORTS:
self.unsafe_items.append((f"Import: {alias.name}", node.lineno))
self.generic_visit(node)
def visit_ImportFrom(self, node: ast.ImportFrom):
"""Check for dangerous imports from specific modules."""
if node.module and node.module.split(".")[0] in self.DANGEROUS_IMPORTS:
self.unsafe_items.append((f"From Import: {node.module}", node.lineno))
self.generic_visit(node)
def visit_Call(self, node: ast.Call):
"""Check for dangerous function calls."""
if isinstance(node.func, ast.Name) and node.func.id in self.DANGEROUS_CALLS:
self.unsafe_items.append((f"Call: {node.func.id}", node.lineno))
self.generic_visit(node)
def visit_Attribute(self, node: ast.Attribute):
"""Check for dangerous attribute access."""
if isinstance(node.value, ast.Name) and node.value.id in self.DANGEROUS_IMPORTS:
self.unsafe_items.append((f"Attribute Access: {node.value.id}.{node.attr}", node.lineno))
self.generic_visit(node)
def visit_BinOp(self, node: ast.BinOp):
"""Check for possible unsafe operations like concatenating strings with commands."""
# This could be useful to detect `eval("os." + "system")`
if isinstance(node.left, ast.Constant) and isinstance(node.right, ast.Constant):
self.unsafe_items.append(("Possible unsafe string concatenation", node.lineno))
self.generic_visit(node)
def visit_FunctionDef(self, node: ast.FunctionDef):
"""Check for dangerous function definitions (e.g., user-defined eval)."""
if node.name in self.DANGEROUS_CALLS:
self.unsafe_items.append((f"Function Definition: {node.name}", node.lineno))
self.generic_visit(node)
def visit_Assign(self, node: ast.Assign):
"""Check for assignments to variables that might lead to dangerous operations."""
for target in node.targets:
if isinstance(target, ast.Name) and target.id in self.DANGEROUS_CALLS:
self.unsafe_items.append((f"Assignment to dangerous variable: {target.id}", node.lineno))
self.generic_visit(node)
def visit_Lambda(self, node: ast.Lambda):
"""Check for lambda functions with dangerous operations."""
if isinstance(node.body, ast.Call) and isinstance(node.body.func, ast.Name) and node.body.func.id in self.DANGEROUS_CALLS:
self.unsafe_items.append(("Lambda with dangerous function call", node.lineno))
self.generic_visit(node)
def visit_ListComp(self, node: ast.ListComp):
"""Check for list comprehensions with dangerous operations."""
# First, visit the generators to check for any issues there
for elem in node.generators:
if isinstance(elem, ast.comprehension):
self.generic_visit(elem)
if isinstance(node.elt, ast.Call) and isinstance(node.elt.func, ast.Name) and node.elt.func.id in self.DANGEROUS_CALLS:
self.unsafe_items.append(("List comprehension with dangerous function call", node.lineno))
self.generic_visit(node)
def visit_DictComp(self, node: ast.DictComp):
"""Check for dictionary comprehensions with dangerous operations."""
# Check for dangerous calls in both the key and value expressions of the dictionary comprehension
if isinstance(node.key, ast.Call) and isinstance(node.key.func, ast.Name) and node.key.func.id in self.DANGEROUS_CALLS:
self.unsafe_items.append(("Dict comprehension with dangerous function call in key", node.lineno))
if isinstance(node.value, ast.Call) and isinstance(node.value.func, ast.Name) and node.value.func.id in self.DANGEROUS_CALLS:
self.unsafe_items.append(("Dict comprehension with dangerous function call in value", node.lineno))
# Visit other sub-nodes (e.g., the generators in the comprehension)
self.generic_visit(node)
def visit_SetComp(self, node: ast.SetComp):
"""Check for set comprehensions with dangerous operations."""
for elt in node.generators:
if isinstance(elt, ast.comprehension):
self.generic_visit(elt)
if isinstance(node.elt, ast.Call) and isinstance(node.elt.func, ast.Name) and node.elt.func.id in self.DANGEROUS_CALLS:
self.unsafe_items.append(("Set comprehension with dangerous function call", node.lineno))
self.generic_visit(node)
def visit_Yield(self, node: ast.Yield):
"""Check for yield statements that could be used to produce unsafe values."""
if isinstance(node.value, ast.Call) and isinstance(node.value.func, ast.Name) and node.value.func.id in self.DANGEROUS_CALLS:
self.unsafe_items.append(("Yield with dangerous function call", node.lineno))
self.generic_visit(node)
def analyze_code_security(code: str, language: SupportLanguage) -> Tuple[bool, List[Tuple[str, int]]]:
"""
Analyze the provided code string and return whether it's safe and why.
:param code: The source code to analyze.
:param language: The programming language of the code.
:return: (is_safe: bool, issues: List of (description, line number))
"""
if language == SupportLanguage.PYTHON:
try:
tree = ast.parse(code)
analyzer = SecurePythonAnalyzer()
analyzer.visit(tree)
return len(analyzer.unsafe_items) == 0, analyzer.unsafe_items
except Exception as e:
logger.error(f"[SafeCheck] Python parsing failed: {str(e)}")
return False, [(f"Parsing Error: {str(e)}", -1)]
else:
logger.warning(f"[SafeCheck] Unsupported language for security analysis: {language} — defaulting to SAFE (manual review recommended)")
return True, [(f"Unsupported language for security analysis: {language} — defaulted to SAFE, manual review recommended", -1)]

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@ -0,0 +1,76 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import os
import re
def is_enabled(value: str) -> bool:
return str(value).strip().lower() in {"1", "true", "yes", "on"}
def env_setting_enabled(env_key: str, default: str = "false") -> bool:
value = os.getenv(env_key, default)
return is_enabled(value)
def is_valid_memory_limit(mem: str | None) -> bool:
"""
Return True if the input string is a valid Docker memory limit (e.g. '256m', '1g').
Units allowed: b, k, m, g (case-insensitive).
Disallows zero or negative values.
"""
if not mem or not isinstance(mem, str):
return False
mem = mem.strip().lower()
return re.fullmatch(r"[1-9]\d*(b|k|m|g)", mem) is not None
def parse_timeout_duration(timeout: str | None, default_seconds: int = 10) -> int:
"""
Parses a string like '90s', '2m', '1m30s' into total seconds (int).
Supports 's', 'm' (lower or upper case). Returns default if invalid.
'1m30s' -> 90
"""
if not timeout or not isinstance(timeout, str):
return default_seconds
timeout = timeout.strip().lower()
pattern = r"^(?:(\d+)m)?(?:(\d+)s)?$"
match = re.fullmatch(pattern, timeout)
if not match:
return default_seconds
minutes = int(match.group(1)) if match.group(1) else 0
seconds = int(match.group(2)) if match.group(2) else 0
total = minutes * 60 + seconds
return total if total > 0 else default_seconds
def format_timeout_duration(seconds: int) -> str:
"""
Formats an integer number of seconds into a string like '1m30s'.
90 -> '1m30s'
"""
if seconds < 60:
return f"{seconds}s"
minutes, sec = divmod(seconds, 60)
if sec == 0:
return f"{minutes}m"
return f"{minutes}m{sec}s"

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@ -0,0 +1,15 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#

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@ -0,0 +1,36 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import asyncio
from typing import Tuple
async def async_run_command(*args, timeout: float = 5) -> Tuple[int, str, str]:
"""Safe asynchronous command execution tool"""
proc = await asyncio.create_subprocess_exec(*args, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE)
try:
stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=timeout)
if proc.returncode is None:
raise RuntimeError("Process finished but returncode is None")
return proc.returncode, stdout.decode(), stderr.decode()
except asyncio.TimeoutError:
proc.kill()
await proc.wait()
raise RuntimeError("Command timed out")
except Exception as e:
proc.kill()
await proc.wait()
raise e

28
sandbox/pyproject.toml Normal file
View File

@ -0,0 +1,28 @@
[project]
name = "gvisor-sandbox"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"fastapi>=0.115.12",
"httpx>=0.28.1",
"pydantic>=2.11.4",
"requests>=2.32.3",
"slowapi>=0.1.9",
"uvicorn>=0.34.2",
]
[[tool.uv.index]]
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
[dependency-groups]
dev = [
"basedpyright>=1.29.1",
]
[tool.ruff]
line-length = 200
[tool.ruff.lint]
extend-select = ["C4", "SIM", "TCH"]

View File

@ -0,0 +1,17 @@
FROM node:24-bookworm-slim
RUN npm config set registry https://registry.npmmirror.com
# RUN grep -rl 'deb.debian.org' /etc/apt/ | xargs sed -i 's|http[s]*://deb.debian.org|https://mirrors.ustc.edu.cn|g' && \
# apt-get update && \
# apt-get install -y curl gcc make
WORKDIR /app
COPY package.json package-lock.json .
RUN npm install
CMD ["sleep", "infinity"]

View File

@ -0,0 +1,294 @@
{
"name": "nodejs",
"version": "1.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "nodejs",
"version": "1.0.0",
"license": "ISC",
"dependencies": {
"axios": "^1.9.0"
}
},
"node_modules/asynckit": {
"version": "0.4.0",
"resolved": "https://registry.npmmirror.com/asynckit/-/asynckit-0.4.0.tgz",
"integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==",
"license": "MIT"
},
"node_modules/axios": {
"version": "1.9.0",
"resolved": "https://registry.npmmirror.com/axios/-/axios-1.9.0.tgz",
"integrity": "sha512-re4CqKTJaURpzbLHtIi6XpDv20/CnpXOtjRY5/CU32L8gU8ek9UIivcfvSWvmKEngmVbrUtPpdDwWDWL7DNHvg==",
"license": "MIT",
"dependencies": {
"follow-redirects": "^1.15.6",
"form-data": "^4.0.0",
"proxy-from-env": "^1.1.0"
}
},
"node_modules/call-bind-apply-helpers": {
"version": "1.0.2",
"resolved": "https://registry.npmmirror.com/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz",
"integrity": "sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ==",
"license": "MIT",
"dependencies": {
"es-errors": "^1.3.0",
"function-bind": "^1.1.2"
},
"engines": {
"node": ">= 0.4"
}
},
"node_modules/combined-stream": {
"version": "1.0.8",
"resolved": "https://registry.npmmirror.com/combined-stream/-/combined-stream-1.0.8.tgz",
"integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
"license": "MIT",
"dependencies": {
"delayed-stream": "~1.0.0"
},
"engines": {
"node": ">= 0.8"
}
},
"node_modules/delayed-stream": {
"version": "1.0.0",
"resolved": "https://registry.npmmirror.com/delayed-stream/-/delayed-stream-1.0.0.tgz",
"integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
"license": "MIT",
"engines": {
"node": ">=0.4.0"
}
},
"node_modules/dunder-proto": {
"version": "1.0.1",
"resolved": "https://registry.npmmirror.com/dunder-proto/-/dunder-proto-1.0.1.tgz",
"integrity": "sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==",
"license": "MIT",
"dependencies": {
"call-bind-apply-helpers": "^1.0.1",
"es-errors": "^1.3.0",
"gopd": "^1.2.0"
},
"engines": {
"node": ">= 0.4"
}
},
"node_modules/es-define-property": {
"version": "1.0.1",
"resolved": "https://registry.npmmirror.com/es-define-property/-/es-define-property-1.0.1.tgz",
"integrity": "sha512-e3nRfgfUZ4rNGL232gUgX06QNyyez04KdjFrF+LTRoOXmrOgFKDg4BCdsjW8EnT69eqdYGmRpJwiPVYNrCaW3g==",
"license": "MIT",
"engines": {
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}
},
"node_modules/es-errors": {
"version": "1.3.0",
"resolved": "https://registry.npmmirror.com/es-errors/-/es-errors-1.3.0.tgz",
"integrity": "sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==",
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"engines": {
"node": ">= 0.4"
}
},
"node_modules/es-object-atoms": {
"version": "1.1.1",
"resolved": "https://registry.npmmirror.com/es-object-atoms/-/es-object-atoms-1.1.1.tgz",
"integrity": "sha512-FGgH2h8zKNim9ljj7dankFPcICIK9Cp5bm+c2gQSYePhpaG5+esrLODihIorn+Pe6FGJzWhXQotPv73jTaldXA==",
"license": "MIT",
"dependencies": {
"es-errors": "^1.3.0"
},
"engines": {
"node": ">= 0.4"
}
},
"node_modules/es-set-tostringtag": {
"version": "2.1.0",
"resolved": "https://registry.npmmirror.com/es-set-tostringtag/-/es-set-tostringtag-2.1.0.tgz",
"integrity": "sha512-j6vWzfrGVfyXxge+O0x5sh6cvxAog0a/4Rdd2K36zCMV5eJ+/+tOAngRO8cODMNWbVRdVlmGZQL2YS3yR8bIUA==",
"license": "MIT",
"dependencies": {
"es-errors": "^1.3.0",
"get-intrinsic": "^1.2.6",
"has-tostringtag": "^1.0.2",
"hasown": "^2.0.2"
},
"engines": {
"node": ">= 0.4"
}
},
"node_modules/follow-redirects": {
"version": "1.15.9",
"resolved": "https://registry.npmmirror.com/follow-redirects/-/follow-redirects-1.15.9.tgz",
"integrity": "sha512-gew4GsXizNgdoRyqmyfMHyAmXsZDk6mHkSxZFCzW9gwlbtOW44CDtYavM+y+72qD/Vq2l550kMF52DT8fOLJqQ==",
"funding": [
{
"type": "individual",
"url": "https://github.com/sponsors/RubenVerborgh"
}
],
"license": "MIT",
"engines": {
"node": ">=4.0"
},
"peerDependenciesMeta": {
"debug": {
"optional": true
}
}
},
"node_modules/form-data": {
"version": "4.0.2",
"resolved": "https://registry.npmmirror.com/form-data/-/form-data-4.0.2.tgz",
"integrity": "sha512-hGfm/slu0ZabnNt4oaRZ6uREyfCj6P4fT/n6A1rGV+Z0VdGXjfOhVUpkn6qVQONHGIFwmveGXyDs75+nr6FM8w==",
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"combined-stream": "^1.0.8",
"es-set-tostringtag": "^2.1.0",
"mime-types": "^2.1.12"
},
"engines": {
"node": ">= 6"
}
},
"node_modules/function-bind": {
"version": "1.1.2",
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"license": "MIT",
"funding": {
"url": "https://github.com/sponsors/ljharb"
}
},
"node_modules/get-intrinsic": {
"version": "1.3.0",
"resolved": "https://registry.npmmirror.com/get-intrinsic/-/get-intrinsic-1.3.0.tgz",
"integrity": "sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ==",
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"gopd": "^1.2.0",
"has-symbols": "^1.1.0",
"hasown": "^2.0.2",
"math-intrinsics": "^1.1.0"
},
"engines": {
"node": ">= 0.4"
},
"funding": {
"url": "https://github.com/sponsors/ljharb"
}
},
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},
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}
},
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"engines": {
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},
"funding": {
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}
},
"node_modules/has-tostringtag": {
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"dependencies": {
"has-symbols": "^1.0.3"
},
"engines": {
"node": ">= 0.4"
},
"funding": {
"url": "https://github.com/sponsors/ljharb"
}
},
"node_modules/hasown": {
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"integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==",
"license": "MIT",
"dependencies": {
"function-bind": "^1.1.2"
},
"engines": {
"node": ">= 0.4"
}
},
"node_modules/math-intrinsics": {
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"resolved": "https://registry.npmmirror.com/math-intrinsics/-/math-intrinsics-1.1.0.tgz",
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"license": "MIT",
"engines": {
"node": ">= 0.4"
}
},
"node_modules/mime-db": {
"version": "1.52.0",
"resolved": "https://registry.npmmirror.com/mime-db/-/mime-db-1.52.0.tgz",
"integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
"license": "MIT",
"engines": {
"node": ">= 0.6"
}
},
"node_modules/mime-types": {
"version": "2.1.35",
"resolved": "https://registry.npmmirror.com/mime-types/-/mime-types-2.1.35.tgz",
"integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
"license": "MIT",
"dependencies": {
"mime-db": "1.52.0"
},
"engines": {
"node": ">= 0.6"
}
},
"node_modules/proxy-from-env": {
"version": "1.1.0",
"resolved": "https://registry.npmmirror.com/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
"integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg==",
"license": "MIT"
}
}
}

View File

@ -0,0 +1,15 @@
{
"name": "nodejs",
"version": "1.0.0",
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"keywords": [],
"author": "",
"license": "ISC",
"description": "",
"dependencies": {
"axios": "^1.9.0"
}
}

View File

@ -0,0 +1,15 @@
FROM python:3.11-slim-bookworm
COPY --from=ghcr.io/astral-sh/uv:0.7.5 /uv /uvx /bin/
ENV UV_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
COPY requirements.txt .
RUN grep -rl 'deb.debian.org' /etc/apt/ | xargs sed -i 's|http[s]*://deb.debian.org|https://mirrors.tuna.tsinghua.edu.cn|g' && \
apt-get update && \
apt-get install -y curl gcc && \
uv pip install --system -r requirements.txt
WORKDIR /workspace
CMD ["sleep", "infinity"]

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@ -0,0 +1,3 @@
numpy
pandas
requests

21
sandbox/scripts/restart.sh Executable file
View File

@ -0,0 +1,21 @@
#!/bin/bash
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
set -e
bash "$(dirname "$0")/stop.sh"
bash "$(dirname "$0")/start.sh"

72
sandbox/scripts/start.sh Executable file
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@ -0,0 +1,72 @@
#!/bin/bash
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
set -e
BASE_DIR="$(cd "$(dirname "$0")/.." && pwd)"
cd "$BASE_DIR"
if [ -f .env ]; then
source .env
SANDBOX_EXECUTOR_MANAGER_PORT="${SANDBOX_EXECUTOR_MANAGER_PORT:-9385}" # Default to 9385 if not set in .env
SANDBOX_EXECUTOR_MANAGER_POOL_SIZE="${SANDBOX_EXECUTOR_MANAGER_POOL_SIZE:-5}" # Default to 5 if not set in .env
SANDBOX_BASE_PYTHON_IMAGE=${SANDBOX_BASE_PYTHON_IMAGE-"sandbox-base-python:latest"}
SANDBOX_BASE_NODEJS_IMAGE=${SANDBOX_BASE_NODEJS_IMAGE-"sandbox-base-nodejs:latest"}
else
echo "⚠️ .env not found, using default ports and pool size"
SANDBOX_EXECUTOR_MANAGER_PORT=9385
SANDBOX_EXECUTOR_MANAGER_POOL_SIZE=5
SANDBOX_BASE_PYTHON_IMAGE=sandbox-base-python:latest
SANDBOX_BASE_NODEJS_IMAGE=sandbox-base-nodejs:latest
fi
echo "📦 STEP 1: Build sandbox-base image ..."
if [ -f .env ]; then
source .env &&
echo "🐍 Building base sandbox image for Python ($SANDBOX_BASE_PYTHON_IMAGE)..." &&
docker build -t "$SANDBOX_BASE_PYTHON_IMAGE" ./sandbox_base_image/python &&
echo "⬢ Building base sandbox image for Nodejs ($SANDBOX_BASE_NODEJS_IMAGE)..." &&
docker build -t "$SANDBOX_BASE_NODEJS_IMAGE" ./sandbox_base_image/nodejs
else
echo "⚠️ .env file not found, skipping build."
fi
echo "🧹 STEP 2: Clean up old sandbox containers (sandbox_nodejs_0~$((SANDBOX_EXECUTOR_MANAGER_POOL_SIZE - 1)) and sandbox_python_0~$((SANDBOX_EXECUTOR_MANAGER_POOL_SIZE - 1))) ..."
for i in $(seq 0 $((SANDBOX_EXECUTOR_MANAGER_POOL_SIZE - 1))); do
echo "🧹 Deleting sandbox_python_$i..."
docker rm -f "sandbox_python_$i" >/dev/null 2>&1 || true
echo "🧹 Deleting sandbox_nodejs_$i..."
docker rm -f "sandbox_nodejs_$i" >/dev/null 2>&1 || true
done
echo "🔧 STEP 3: Build executor services ..."
docker compose build
echo "🚀 STEP 4: Start services ..."
docker compose up -d
echo "⏳ STEP 5a: Check if ports are open (basic connectivity) ..."
bash ./scripts/wait-for-it.sh "localhost" "$SANDBOX_EXECUTOR_MANAGER_PORT" -t 30
echo "⏳ STEP 5b: Check if the interfaces are healthy (/healthz) ..."
bash ./scripts/wait-for-it-http.sh "http://localhost:$SANDBOX_EXECUTOR_MANAGER_PORT/healthz" 30
echo "✅ STEP 6: Run security tests ..."
python3 ./tests/sandbox_security_tests_full.py
echo "🎉 Service is ready: http://localhost:$SANDBOX_EXECUTOR_MANAGER_PORT/docs"

40
sandbox/scripts/stop.sh Executable file
View File

@ -0,0 +1,40 @@
#!/bin/bash
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
set -e
BASE_DIR="$(cd "$(dirname "$0")/.." && pwd)"
cd "$BASE_DIR"
echo "🛑 Stopping all services..."
docker compose down
echo "🧹 Deleting sandbox containers..."
if [ -f .env ]; then
source .env
for i in $(seq 0 $((SANDBOX_EXECUTOR_MANAGER_POOL_SIZE - 1))); do
echo "🧹 Deleting sandbox_python_$i..."
docker rm -f "sandbox_python_$i" >/dev/null 2>&1 || true
echo "🧹 Deleting sandbox_nodejs_$i..."
docker rm -f "sandbox_nodejs_$i" >/dev/null 2>&1 || true
done
else
echo "⚠️ .env not found, skipping container cleanup"
fi
echo "✅ Stopping and cleanup complete"

View File

@ -0,0 +1,31 @@
#!/bin/bash
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
url=$1
timeout=${2:-15}
quiet=${3:-0}
for i in $(seq "$timeout"); do
if curl -fs "$url" >/dev/null; then
[[ "$quiet" -ne 1 ]] && echo "$url is healthy after $i seconds"
exit 0
fi
sleep 1
done
echo "✖ Timeout after $timeout seconds waiting for $url"
exit 1

50
sandbox/scripts/wait-for-it.sh Executable file
View File

@ -0,0 +1,50 @@
#!/bin/bash
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
host=$1
port=$2
shift 2
timeout=15
quiet=0
while [[ $# -gt 0 ]]; do
case "$1" in
-t | --timeout)
timeout="$2"
shift 2
;;
-q | --quiet)
quiet=1
shift
;;
*)
break
;;
esac
done
for i in $(seq "$timeout"); do
if nc -z "$host" "$port" >/dev/null 2>&1; then
[[ "$quiet" -ne 1 ]] && echo "$host:$port is available after $i seconds"
exit 0
fi
sleep 1
done
echo "✖ Timeout after $timeout seconds waiting for $host:$port"
exit 1

View File

@ -0,0 +1,436 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
#
import base64
import os
import textwrap
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from enum import Enum
from typing import Dict, Optional
import requests
from pydantic import BaseModel
API_URL = os.getenv("SANDBOX_API_URL", "http://localhost:9385/run")
TIMEOUT = 15
MAX_WORKERS = 5
class ResultStatus(str, Enum):
SUCCESS = "success"
PROGRAM_ERROR = "program_error"
RESOURCE_LIMIT_EXCEEDED = "resource_limit_exceeded"
UNAUTHORIZED_ACCESS = "unauthorized_access"
RUNTIME_ERROR = "runtime_error"
PROGRAM_RUNNER_ERROR = "program_runner_error"
class ResourceLimitType(str, Enum):
TIME = "time"
MEMORY = "memory"
OUTPUT = "output"
class UnauthorizedAccessType(str, Enum):
DISALLOWED_SYSCALL = "disallowed_syscall"
FILE_ACCESS = "file_access"
NETWORK_ACCESS = "network_access"
class RuntimeErrorType(str, Enum):
SIGNALLED = "signalled"
NONZERO_EXIT = "nonzero_exit"
class ExecutionResult(BaseModel):
status: ResultStatus
stdout: str
stderr: str
exit_code: int
detail: Optional[str] = None
resource_limit_type: Optional[ResourceLimitType] = None
unauthorized_access_type: Optional[UnauthorizedAccessType] = None
runtime_error_type: Optional[RuntimeErrorType] = None
class TestResult(BaseModel):
name: str
passed: bool
duration: float
expected_failure: bool = False
result: Optional[ExecutionResult] = None
error: Optional[str] = None
validation_error: Optional[str] = None
def encode_code(code: str) -> str:
return base64.b64encode(code.encode("utf-8")).decode("utf-8")
def execute_single_test(name: str, code: str, language: str, arguments: dict, expect_fail: bool = False) -> TestResult:
"""Execute a single test case"""
payload = {
"code_b64": encode_code(textwrap.dedent(code)),
"language": language,
"arguments": arguments,
}
test_result = TestResult(name=name, passed=False, duration=0, expected_failure=expect_fail)
really_processed = False
try:
while not really_processed:
start_time = time.perf_counter()
resp = requests.post(API_URL, json=payload, timeout=TIMEOUT)
resp.raise_for_status()
response_data = resp.json()
if response_data["exit_code"] == -429: # too many request
print(f"[{name}] Reached request limit, retring...")
time.sleep(0.5)
continue
really_processed = True
print("-------------------")
print(f"{name}:\n{response_data}")
print("-------------------")
test_result.duration = time.perf_counter() - start_time
test_result.result = ExecutionResult(**response_data)
# Validate test result expectations
validate_test_result(name, expect_fail, test_result)
except requests.exceptions.RequestException as e:
test_result.duration = time.perf_counter() - start_time
test_result.error = f"Request failed: {str(e)}"
test_result.result = ExecutionResult(
status=ResultStatus.PROGRAM_RUNNER_ERROR,
stdout="",
stderr=str(e),
exit_code=-999,
detail="request_failed",
)
return test_result
def validate_test_result(name: str, expect_fail: bool, test_result: TestResult):
"""Validate if the test result meets expectations"""
if not test_result.result:
test_result.passed = False
test_result.validation_error = "No result returned"
return
test_result.passed = test_result.result.status == ResultStatus.SUCCESS
# General validation logic
if expect_fail:
# Tests expected to fail should return a non-success status
if test_result.passed:
test_result.validation_error = "Expected failure but actually succeeded"
else:
# Tests expected to succeed should return a success status
if not test_result.passed:
test_result.validation_error = f"Unexpected failure (status={test_result.result.status})"
def get_test_cases() -> Dict[str, dict]:
"""Return test cases (code, whether expected to fail)"""
return {
"1 Infinite loop: Should be forcibly terminated": {
"code": """
def main():
while True:
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"2 Infinite loop: Should be forcibly terminated": {
"code": """
def main():
while True:
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"3 Infinite loop: Should be forcibly terminated": {
"code": """
def main():
while True:
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"4 Infinite loop: Should be forcibly terminated": {
"code": """
def main():
while True:
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"5 Infinite loop: Should be forcibly terminated": {
"code": """
def main():
while True:
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"6 Infinite loop: Should be forcibly terminated": {
"code": """
def main():
while True:
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"7 Normal test: Python without dependencies": {
"code": """
def main():
return {"data": "hello, world"}
""",
"should_fail": False,
"arguments": {},
"language": "python",
},
"8 Normal test: Python with pandas, should pass without any error": {
"code": """
import pandas as pd
def main():
data = {'Name': ['Alice', 'Bob', 'Charlie'],
'Age': [25, 30, 35]}
df = pd.DataFrame(data)
""",
"should_fail": False,
"arguments": {},
"language": "python",
},
"9 Normal test: Nodejs without dependencies, should pass without any error": {
"code": """
const https = require('https');
async function main(args) {
return new Promise((resolve, reject) => {
const req = https.get('https://example.com/', (res) => {
let data = '';
res.on('data', (chunk) => {
data += chunk;
});
res.on('end', () => {
clearTimeout(timeout);
console.log('Body:', data);
resolve(data);
});
});
const timeout = setTimeout(() => {
req.destroy(new Error('Request timeout after 10s'));
}, 10000);
req.on('error', (err) => {
clearTimeout(timeout);
console.error('Error:', err.message);
reject(err);
});
});
}
module.exports = { main };
""",
"should_fail": False,
"arguments": {},
"language": "nodejs",
},
"10 Normal test: Nodejs with axios, should pass without any error": {
"code": """
const axios = require('axios');
async function main(args) {
try {
const response = await axios.get('https://example.com/', {
timeout: 10000
});
console.log('Body:', response.data);
} catch (error) {
console.error('Error:', error.message);
}
}
module.exports = { main };
""",
"should_fail": False,
"arguments": {},
"language": "nodejs",
},
"11 Dangerous import: Should fail due to os module import": {
"code": """
import os
def main():
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"12 Dangerous import from subprocess: Should fail due to subprocess import": {
"code": """
from subprocess import Popen
def main():
pass
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"13 Dangerous call: Should fail due to eval function call": {
"code": """
def main():
eval('os.system("echo hello")')
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"14 Dangerous attribute access: Should fail due to shutil.rmtree": {
"code": """
import shutil
def main():
shutil.rmtree('/some/path')
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"15 Dangerous binary operation: Should fail due to unsafe concatenation leading to eval": {
"code": """
def main():
dangerous_string = "os." + "system"
eval(dangerous_string + '("echo hello")')
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"16 Dangerous function definition: Should fail due to user-defined eval function": {
"code": """
def eval_function():
eval('os.system("echo hello")')
def main():
eval_function()
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
"17 Memory exhaustion(256m): Should fail due to exceeding memory limit(try to allocate 300m)": {
"code": """
def main():
x = ['a' * 1024 * 1024] * 300 # 300MB
""",
"should_fail": True,
"arguments": {},
"language": "python",
},
}
def print_test_report(results: Dict[str, TestResult]):
print("\n=== 🔍 Test Report ===")
max_name_len = max(len(name) for name in results)
for name, result in results.items():
status = "" if result.passed else ""
if result.expected_failure:
status = "⚠️" if result.passed else "" # Expected failure case
print(f"{status} {name.ljust(max_name_len)} {result.duration:.2f}s")
if result.error:
print(f" REQUEST ERROR: {result.error}")
if result.validation_error:
print(f" VALIDATION ERROR: {result.validation_error}")
if result.result and not result.passed:
print(f" STATUS: {result.result.status}")
if result.result.stderr:
print(f" STDERR: {result.result.stderr[:200]}...")
if result.result.detail:
print(f" DETAIL: {result.result.detail}")
passed = sum(1 for r in results.values() if ((not r.expected_failure and r.passed) or (r.expected_failure and not r.passed)))
failed = len(results) - passed
print("\n=== 📊 Statistics ===")
print(f"✅ Passed: {passed}")
print(f"❌ Failed: {failed}")
print(f"📌 Total: {len(results)}")
def main():
print(f"🔐 Starting sandbox security tests (API: {API_URL})")
print(f"🚀 Concurrent threads: {MAX_WORKERS}")
test_cases = get_test_cases()
results = {}
with ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:
futures = {}
for name, detail in test_cases.items():
# ✅ Log when a task is submitted
print(f"✅ Task submitted: {name}")
time.sleep(0.4)
future = executor.submit(execute_single_test, name, detail["code"], detail["language"], detail["arguments"], detail["should_fail"])
futures[future] = name
print("\n=== 🚦 Test Progress ===")
for i, future in enumerate(as_completed(futures)):
name = futures[future]
print(f" {i + 1}/{len(test_cases)} completed: {name}")
try:
results[name] = future.result()
except Exception as e:
print(f"⚠️ Test {name} execution exception: {str(e)}")
results[name] = TestResult(name=name, passed=False, duration=0, error=f"Execution exception: {str(e)}")
print_test_report(results)
if any(not r.passed and not r.expected_failure for r in results.values()):
exit(1)
if __name__ == "__main__":
main()

539
sandbox/uv.lock generated Normal file
View File

@ -0,0 +1,539 @@
version = 1
revision = 1
requires-python = ">=3.10"
[[package]]
name = "annotated-types"
version = "0.7.0"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
wheels = [
{ url = "https://pypi.tuna.tsinghua.edu.cn/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
]
[[package]]
name = "anyio"
version = "4.9.0"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
{ name = "idna" },
{ name = "sniffio" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
]
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949 }
wheels = [
{ url = "https://pypi.tuna.tsinghua.edu.cn/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916 },
]
[[package]]
name = "basedpyright"
version = "1.29.1"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "nodejs-wheel-binaries" },
]
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/b9/18/f5e488eac4960ad9a2e71b95f0d91cf93a982c7f68aa90e4e0554f0bc37e/basedpyright-1.29.1.tar.gz", hash = "sha256:06bbe6c3b50ab4af20f80e154049477a50d8b81d2522eadbc9f472f2f92cd44b", size = 21773469 }
wheels = [
{ url = "https://pypi.tuna.tsinghua.edu.cn/packages/95/1b/1bb837bbb7e259928f33d3c105dfef4f5349ef08b3ef45576801256e3234/basedpyright-1.29.1-py3-none-any.whl", hash = "sha256:b7eb65b9d4aaeeea29a349ac494252032a75a364942d0ac466d7f07ddeacc786", size = 11397959 },
]
[[package]]
name = "certifi"
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]

View File

@ -0,0 +1,28 @@
import {
Collapsible,
CollapsibleContent,
CollapsibleTrigger,
} from '@/components/ui/collapsible';
import { ListCollapse } from 'lucide-react';
import { PropsWithChildren, ReactNode } from 'react';
type CollapseProps = {
title?: ReactNode;
rightContent?: ReactNode;
} & PropsWithChildren;
export function Collapse({ title, children, rightContent }: CollapseProps) {
return (
<Collapsible defaultOpen>
<CollapsibleTrigger className="w-full">
<section className="flex justify-between items-center pb-2">
<div className="flex items-center gap-1">
<ListCollapse className="size-4" /> {title}
</div>
<div>{rightContent}</div>
</section>
</CollapsibleTrigger>
<CollapsibleContent>{children}</CollapsibleContent>
</Collapsible>
);
}

View File

@ -19,7 +19,7 @@ import {
import { cn } from '@/lib/utils';
import { useLexicalComposerContext } from '@lexical/react/LexicalComposerContext';
import { Variable } from 'lucide-react';
import { useCallback, useState } from 'react';
import { ReactNode, useCallback, useState } from 'react';
import { useTranslation } from 'react-i18next';
import { Tooltip, TooltipContent, TooltipTrigger } from '../ui/tooltip';
import theme from './theme';
@ -45,6 +45,7 @@ const Nodes: Array<Klass<LexicalNode>> = [
type IProps = {
value?: string;
onChange?: (value?: string) => void;
placeholder?: ReactNode;
};
function PromptContent() {
@ -99,7 +100,7 @@ function PromptContent() {
);
}
export function PromptEditor({ value, onChange }: IProps) {
export function PromptEditor({ value, onChange, placeholder }: IProps) {
const { t } = useTranslation();
const initialConfig: InitialConfigType = {
namespace: 'PromptEditor',
@ -124,16 +125,25 @@ export function PromptEditor({ value, onChange }: IProps) {
);
return (
<LexicalComposer initialConfig={initialConfig}>
<RichTextPlugin
contentEditable={<PromptContent></PromptContent>}
placeholder={
<div className="absolute top-2 left-2">{t('common.pleaseInput')}</div>
}
ErrorBoundary={LexicalErrorBoundary}
/>
<VariablePickerMenuPlugin value={value}></VariablePickerMenuPlugin>
<VariableOnChangePlugin onChange={onValueChange}></VariableOnChangePlugin>
</LexicalComposer>
<div className="relative">
<LexicalComposer initialConfig={initialConfig}>
<RichTextPlugin
contentEditable={<PromptContent></PromptContent>}
placeholder={
<div
className="absolute top-10 left-2 text-text-sub-title"
data-xxx
>
{placeholder || t('common.pleaseInput')}
</div>
}
ErrorBoundary={LexicalErrorBoundary}
/>
<VariablePickerMenuPlugin value={value}></VariablePickerMenuPlugin>
<VariableOnChangePlugin
onChange={onValueChange}
></VariableOnChangePlugin>
</LexicalComposer>
</div>
);
}

View File

@ -3,7 +3,7 @@ import { cva, type VariantProps } from 'class-variance-authority';
import * as React from 'react';
import { cn } from '@/lib/utils';
import { Loader2 } from 'lucide-react';
import { Loader2, Plus } from 'lucide-react';
const buttonVariants = cva(
'inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium ring-offset-background transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg]:size-4 [&_svg]:shrink-0',
@ -93,3 +93,18 @@ export const ButtonLoading = React.forwardRef<
ButtonLoading.displayName = 'ButtonLoading';
export { Button, buttonVariants };
export const BlockButton = React.forwardRef<HTMLButtonElement, ButtonProps>(
({ children, className, ...props }, ref) => {
return (
<Button
variant={'outline'}
ref={ref}
className={cn('w-full border-dashed border-input-border', className)}
{...props}
>
<Plus /> {children}
</Button>
);
},
);

View File

@ -14,8 +14,7 @@ import {
import { Label } from '@/components/ui/label';
import { cn } from '@/lib/utils';
import { Info } from 'lucide-react';
import { Tooltip, TooltipContent, TooltipTrigger } from './tooltip';
import { FormTooltip } from './tooltip';
const Form = FormProvider;
@ -104,16 +103,7 @@ const FormLabel = React.forwardRef<
{...props}
>
{props.children}
{tooltip && (
<Tooltip>
<TooltipTrigger>
<Info className="size-3 ml-2" />
</TooltipTrigger>
<TooltipContent>
<p>{tooltip}</p>
</TooltipContent>
</Tooltip>
)}
{tooltip && <FormTooltip tooltip={tooltip}></FormTooltip>}
</Label>
);
});

View File

@ -4,6 +4,7 @@ import * as TooltipPrimitive from '@radix-ui/react-tooltip';
import * as React from 'react';
import { cn } from '@/lib/utils';
import { Info } from 'lucide-react';
const TooltipProvider = TooltipPrimitive.Provider;
@ -28,3 +29,16 @@ const TooltipContent = React.forwardRef<
TooltipContent.displayName = TooltipPrimitive.Content.displayName;
export { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger };
export const FormTooltip = ({ tooltip }: { tooltip: React.ReactNode }) => {
return (
<Tooltip>
<TooltipTrigger>
<Info className="size-3 ml-2" />
</TooltipTrigger>
<TooltipContent>
<p>{tooltip}</p>
</TooltipContent>
</Tooltip>
);
};

View File

@ -1,22 +1,111 @@
import { IFlow } from '@/interfaces/database/flow';
import flowService from '@/services/flow-service';
import { useQuery } from '@tanstack/react-query';
import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query';
import { useDebounce } from 'ahooks';
import { message } from 'antd';
import { useCallback } from 'react';
import {
useGetPaginationWithRouter,
useHandleSearchChange,
} from './logic-hooks';
export const enum AgentApiAction {
FetchAgentList = 'fetchAgentList',
UpdateAgentSetting = 'updateAgentSetting',
DeleteAgent = 'deleteAgent',
}
export const useFetchAgentList = () => {
const { data, isFetching: loading } = useQuery<IFlow[]>({
queryKey: [AgentApiAction.FetchAgentList],
initialData: [],
export const useFetchAgentListByPage = () => {
const { searchString, handleInputChange } = useHandleSearchChange();
const { pagination, setPagination } = useGetPaginationWithRouter();
const debouncedSearchString = useDebounce(searchString, { wait: 500 });
const { data, isFetching: loading } = useQuery<{
kbs: IFlow[];
total: number;
}>({
queryKey: [
AgentApiAction.FetchAgentList,
{
debouncedSearchString,
...pagination,
},
],
initialData: { kbs: [], total: 0 },
gcTime: 0,
queryFn: async () => {
const { data } = await flowService.listCanvas();
const { data } = await flowService.listCanvasTeam({
keywords: debouncedSearchString,
page_size: pagination.pageSize,
page: pagination.current,
});
return data?.data ?? [];
},
});
return { data, loading };
const onInputChange: React.ChangeEventHandler<HTMLInputElement> = useCallback(
(e) => {
// setPagination({ page: 1 }); // TODO: 这里导致重复请求
handleInputChange(e);
},
[handleInputChange],
);
return {
data: data.kbs,
loading,
searchString,
handleInputChange: onInputChange,
pagination: { ...pagination, total: data?.total },
setPagination,
};
};
export const useUpdateAgentSetting = () => {
const queryClient = useQueryClient();
const {
data,
isPending: loading,
mutateAsync,
} = useMutation({
mutationKey: [AgentApiAction.UpdateAgentSetting],
mutationFn: async (params: any) => {
const ret = await flowService.settingCanvas(params);
if (ret?.data?.code === 0) {
message.success('success');
queryClient.invalidateQueries({
queryKey: [AgentApiAction.FetchAgentList],
});
} else {
message.error(ret?.data?.data);
}
return ret?.data?.code;
},
});
return { data, loading, updateAgentSetting: mutateAsync };
};
export const useDeleteAgent = () => {
const queryClient = useQueryClient();
const {
data,
isPending: loading,
mutateAsync,
} = useMutation({
mutationKey: [AgentApiAction.DeleteAgent],
mutationFn: async (canvasIds: string[]) => {
const { data } = await flowService.removeCanvas({ canvasIds });
if (data.code === 0) {
queryClient.invalidateQueries({
queryKey: [AgentApiAction.FetchAgentList],
});
}
return data?.data ?? [];
},
});
return { data, loading, deleteAgent: mutateAsync };
};

View File

@ -144,7 +144,7 @@ export default {
toMessage: 'Endseitennummer fehlt (ausgeschlossen)',
layoutRecognize: 'Dokumentenparser',
layoutRecognizeTip:
'Verwendet ein visuelles Modell für die PDF-Layout-Analyse, um Dokumententitel, Textblöcke, Bilder und Tabellen effektiv zu lokalisieren. Wenn die einfache Option gewählt wird, wird nur der reine Text im PDF abgerufen. Bitte beachten Sie, dass diese Option derzeit NUR für PDF-Dokumente funktioniert.',
'Verwendet ein visuelles Modell für die PDF-Layout-Analyse, um Dokumententitel, Textblöcke, Bilder und Tabellen effektiv zu lokalisieren. Wenn die einfache Option gewählt wird, wird nur der reine Text im PDF abgerufen. Bitte beachten Sie, dass diese Option derzeit NUR für PDF-Dokumente funktioniert. Weitere Informationen finden Sie unter https://ragflow.io/docs/dev/select_pdf_parser.',
taskPageSize: 'Aufgabenseitengröße',
taskPageSizeMessage: 'Bitte geben Sie die Größe der Aufgabenseite ein!',
taskPageSizeTip:

View File

@ -455,7 +455,8 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
modelTip: 'Large language chat model',
modelMessage: 'Please select!',
modelEnabledTools: 'Enabled tools',
modelEnabledToolsTip: 'Please select one or more tools for the chat model to use. It takes no effect for models not supporting tool call.',
modelEnabledToolsTip:
'Please select one or more tools for the chat model to use. It takes no effect for models not supporting tool call.',
freedom: 'Freedom',
improvise: 'Improvise',
precise: 'Precise',
@ -788,7 +789,9 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
examples: 'Examples',
to: 'To',
msg: 'Messages',
messagePlaceholder: 'message',
msgTip:
'Output the variable content of the upstream component or the text entered by yourself.',
messagePlaceholder: `Please enter your message content, use '/' to quickly insert variables.`,
messageMsg: 'Please input message or delete this field.',
addField: 'Add option',
addMessage: 'Add message',
@ -812,7 +815,7 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
relevantDescription: `A component that uses the LLM to assess whether the upstream output is relevant to the user's latest query. Ensure you specify the next component for each judge result.`,
rewriteQuestionDescription: `A component that rewrites a user query from the Interact component, based on the context of previous dialogues.`,
messageDescription:
"A component that sends out a static message. If multiple messages are supplied, it randomly selects one to send. Ensure its downstream is 'Interact', the interface component.",
'This component returns the final data output of the workflow along with predefined message content. ',
keywordDescription: `A component that retrieves top N search results from user's input. Ensure the TopN value is set properly before use.`,
switchDescription: `A component that evaluates conditions based on the output of previous components and directs the flow of execution accordingly. It allows for complex branching logic by defining cases and specifying actions for each case or default action if no conditions are met.`,
wikipediaDescription: `A component that searches from wikipedia.org, using TopN to specify the number of search results. It supplements the existing knowledge bases.`,
@ -1268,14 +1271,22 @@ This delimiter is used to split the input text into several text pieces echo of
codeDescription: 'It allows developers to write custom Python logic.',
inputVariables: 'Input variables',
runningHintText: 'is running...🕞',
openingSwitch: 'Opening switch',
openingCopy: 'Opening copy',
openingSwitchTip:
'Your users will see this welcome message at the beginning.',
modeTip: 'The mode defines how the workflow is initiated.',
beginInputTip:
'By defining input parameters, this content can be accessed by other components in subsequent processes.',
},
llmTools: {
bad_calculator: {
name: "Calculator",
description: "A tool to calculate the sum of two numbers (will give wrong answer)",
name: 'Calculator',
description:
'A tool to calculate the sum of two numbers (will give wrong answer)',
params: {
a: "The first number",
b: "The second number",
a: 'The first number',
b: 'The second number',
},
},
},

View File

@ -133,7 +133,7 @@ export default {
toMessage: 'Falta el número de página final (excluido)',
layoutRecognize: 'Reconocimiento de disposición',
layoutRecognizeTip:
'Usa modelos visuales para el análisis de disposición y así identificar mejor la estructura del documento, encontrar dónde están los títulos, bloques de texto, imágenes y tablas. Sin esta función, solo se obtendrá el texto plano del PDF.',
'Usa modelos visuales para el análisis de disposición y así identificar mejor la estructura del documento, encontrar dónde están los títulos, bloques de texto, imágenes y tablas. Sin esta función, solo se obtendrá el texto plano del PDF. Para más información, consulte https://ragflow.io/docs/dev/select_pdf_parser.',
taskPageSize: 'Tamaño de la tarea por página',
taskPageSizeMessage:
'¡Por favor ingresa el tamaño de la tarea por página!',

View File

@ -138,7 +138,7 @@ export default {
toMessage: 'Nomor halaman akhir hilang (tidak termasuk)',
layoutRecognize: 'Pengenalan tata letak',
layoutRecognizeTip:
'Gunakan model visual untuk analisis tata letak untuk lebih mengidentifikasi struktur dokumen, menemukan di mana judul, blok teks, gambar, dan tabel berada. Tanpa fitur ini, hanya teks biasa dari PDF yang dapat diperoleh.',
'Gunakan model visual untuk analisis tata letak untuk lebih mengidentifikasi struktur dokumen, menemukan di mana judul, blok teks, gambar, dan tabel berada. Tanpa fitur ini, hanya teks biasa dari PDF yang dapat diperoleh. Untuk informasi lebih lanjut, lihat https://ragflow.io/docs/dev/select_pdf_parser.',
taskPageSize: 'Ukuran halaman tugas',
taskPageSizeMessage: 'Silakan masukkan ukuran halaman tugas Anda!',
taskPageSizeTip: `Jika menggunakan pengenalan tata letak, file PDF akan dibagi menjadi kelompok berturut-turut. Analisis tata letak akan dilakukan secara paralel antar kelompok untuk meningkatkan kecepatan pemrosesan. 'Ukuran halaman tugas' menentukan ukuran kelompok. Semakin besar ukuran halaman, semakin kecil kemungkinan teks berkelanjutan antara halaman dibagi menjadi potongan yang berbeda.`,

View File

@ -138,7 +138,7 @@ export default {
toMessage: '終了ページ番号が不足しています(除外)',
layoutRecognize: 'レイアウト認識',
layoutRecognizeTip:
'レイアウト分析のためにビジュアルモデルを使用し、文書の構造を理解しやすくします。',
'レイアウト分析のためにビジュアルモデルを使用し、文書の構造を理解しやすくします。詳細については、https://ragflow.io/docs/dev/select_pdf_parser をご覧ください。',
taskPageSize: 'タスクページサイズ',
taskPageSizeMessage: 'タスクページサイズを入力してください',
taskPageSizeTip: `レイアウト認識中、PDFファイルはチャンクに分割され、処理速度を向上させるために並列処理されます。`,

View File

@ -141,7 +141,7 @@ export default {
toMessage: 'Página final ausente (excluída)',
layoutRecognize: 'Reconhecimento de layout',
layoutRecognizeTip:
'Use modelos visuais para análise de layout para entender melhor a estrutura do documento e localizar efetivamente títulos, blocos de texto, imagens e tabelas. Se desativado, apenas o texto simples no PDF será recuperado.',
'Use modelos visuais para análise de layout para entender melhor a estrutura do documento e localizar efetivamente títulos, blocos de texto, imagens e tabelas. Se desativado, apenas o texto simples no PDF será recuperado. Para mais informações, acesse https://ragflow.io/docs/dev/select_pdf_parser.',
taskPageSize: 'Tamanho da página da tarefa',
taskPageSizeMessage: 'Por favor, insira o tamanho da página da tarefa!',
taskPageSizeTip:

View File

@ -144,7 +144,7 @@ export default {
toMessage: 'Thiếu số trang kết thúc (được loại trừ)',
layoutRecognize: 'Nhận dạng bố cục',
layoutRecognizeTip:
'Sử dụng các mô hình trực quan để phân tích bố cục nhằm xác định tốt hơn cấu trúc tài liệu, tìm vị trí của tiêu đề, khối văn bản, hình ảnh và bảng. Nếu không có tính năng này, chỉ có thể lấy được văn bản thuần của PDF.',
'Sử dụng các mô hình trực quan để phân tích bố cục nhằm xác định tốt hơn cấu trúc tài liệu, tìm vị trí của tiêu đề, khối văn bản, hình ảnh và bảng. Nếu không có tính năng này, chỉ có thể lấy được văn bản thuần của PDF. Để biết thêm thông tin, hãy xem https://ragflow.io/docs/dev/select_pdf_parser.',
taskPageSize: 'Kích thước trang tác vụ',
taskPageSizeMessage: 'Vui lòng nhập kích thước trang tác vụ của bạn!',
taskPageSizeTip: `Nếu sử dụng nhận dạng bố cục, tệp PDF sẽ được chia thành các nhóm trang liên tiếp. Phân tích bố cục sẽ được thực hiện song song giữa các nhóm để tăng tốc độ xử lý. 'Kích thước trang tác vụ' xác định kích thước của các nhóm. Kích thước trang càng lớn, khả năng chia tách văn bản liên tục giữa các trang thành các khối khác nhau càng thấp.`,

View File

@ -143,7 +143,7 @@ export default {
toMessage: '缺少結束頁碼(不包含)',
layoutRecognize: 'PDF解析器',
layoutRecognizeTip:
'使用視覺模型進行 PDF 布局分析,以更好地識別文檔結構,找到標題、文字塊、圖像和表格的位置。若選擇 Naive 選項,則只能取得 PDF 的純文字。請注意此功能僅適用於 PDF 文檔,對其他文檔不生效。',
'使用視覺模型進行 PDF 布局分析,以更好地識別文檔結構,找到標題、文字塊、圖像和表格的位置。若選擇 Naive 選項,則只能取得 PDF 的純文字。請注意此功能僅適用於 PDF 文檔,對其他文檔不生效。如需更多資訊,請參閱 https://ragflow.io/docs/dev/select_pdf_parser。',
taskPageSize: '任務頁面大小',
taskPageSizeMessage: '請輸入您的任務頁面大小!',
taskPageSizeTip: `如果使用佈局識別PDF 文件將被分成連續的組。佈局分析將在組之間並行執行,以提高處理速度。“任務頁面大小”決定組的大小。頁面大小越大,將頁面之間的連續文本分割成不同塊的機會就越低。`,
@ -761,7 +761,8 @@ export default {
examples: '範例',
to: '下一步',
msg: '訊息',
messagePlaceholder: '訊息',
msgTip: '輸出上游組件的變數內容或自行輸入的文字。',
messagePlaceholder: '請輸入您的訊息內容,使用‘/’快速插入變數。',
messageMsg: '請輸入訊息或刪除此欄位。',
addField: '新增字段',
addMessage: '新增訊息',
@ -786,7 +787,7 @@ export default {
relevantDescription: `此元件用來判斷upstream的輸出是否與使用者最新的問題相關『是』代表相關『否』代表不相關。`,
rewriteQuestionDescription: `此元件用於細化使用者的提問。通常,當使用者的原始提問無法從知識庫中檢索相關資訊時,此元件可協助您將問題變更為更符合知識庫表達方式的適當問題。`,
messageDescription:
'此元件用於向使用者發送靜態訊息。您可以準備幾條訊息,這些訊息將隨機選擇。',
'此元件用來傳回工作流程最後產生的資料內容和原先設定的文字內容。',
keywordDescription: `該組件用於從用戶的問題中提取關鍵字。 Top N指定需要提取的關鍵字數量。`,
switchDescription: `該組件用於根據前面組件的輸出評估條件,並相應地引導執行流程。通過定義各種情況並指定操作,或在不滿足條件時採取默認操作,實現複雜的分支邏輯。`,
wikipediaDescription: `此元件用於從 https://www.wikipedia.org/ 取得搜尋結果。通常,它作為知識庫的補充。 Top N 指定您需要調整的搜尋結果數。`,
@ -1162,6 +1163,9 @@ export default {
codeDescription: '它允許開發人員編寫自訂 Python 邏輯。',
inputVariables: '輸入變數',
runningHintText: '正在運行...🕞',
openingSwitchTip: '您的用戶將在開始時看到此歡迎訊息。',
modeTip: '模式定義工作流程如何啟動。 ',
beginInputTip: `透過定義輸入參數,這些內容可以在後續流程中被其他元件存取。`,
},
footer: {
profile: '“保留所有權利 @ react”',

View File

@ -143,7 +143,7 @@ export default {
toMessage: '缺少结束页码(不包含)',
layoutRecognize: 'PDF解析器',
layoutRecognizeTip:
'使用视觉模型进行 PDF 布局分析,以更好地识别文档结构,找到标题、文本块、图像和表格的位置。 如果选择 Naive 选项,则只能获取 PDF 的纯文本。请注意该功能只适用于 PDF 文档,对其他文档不生效。',
'使用视觉模型进行 PDF 布局分析,以更好地识别文档结构,找到标题、文本块、图像和表格的位置。 如果选择 Naive 选项,则只能获取 PDF 的纯文本。请注意该功能只适用于 PDF 文档,对其他文档不生效。欲了解更多信息,请参阅 https://ragflow.io/docs/dev/select_pdf_parser。',
taskPageSize: '任务页面大小',
taskPageSizeMessage: '请输入您的任务页面大小!',
taskPageSizeTip: `如果使用布局识别PDF 文件将被分成连续的组。 布局分析将在组之间并行执行,以提高处理速度。 “任务页面大小”决定组的大小。 页面大小越大,将页面之间的连续文本分割成不同块的机会就越低。`,
@ -462,7 +462,8 @@ General实体和关系提取提示来自 GitHub - microsoft/graphrag基于
modelTip: '大语言聊天模型',
modelMessage: '请选择',
modelEnabledTools: '可用的工具',
modelEnabledToolsTip: '请选择一个或多个可供该模型所使用的工具。仅对支持工具调用的模型生效。',
modelEnabledToolsTip:
'请选择一个或多个可供该模型所使用的工具。仅对支持工具调用的模型生效。',
freedom: '自由度',
improvise: '即兴创作',
precise: '精确',
@ -788,7 +789,8 @@ General实体和关系提取提示来自 GitHub - microsoft/graphrag基于
examples: '示例',
to: '下一步',
msg: '消息',
messagePlaceholder: '消息',
msgTip: '输出上游组件的变量内容或者自己输入的文本。',
messagePlaceholder: '请输入您的消息内容,使用‘/’快速插入变量。',
messageMsg: '请输入消息或删除此字段。',
addField: '新增字段',
addMessage: '新增消息',
@ -812,7 +814,7 @@ General实体和关系提取提示来自 GitHub - microsoft/graphrag基于
relevantDescription: `该组件用来判断upstream的输出是否与用户最新的问题相关代表相关代表不相关。`,
rewriteQuestionDescription: `此组件用于细化用户的提问。通常,当用户的原始提问无法从知识库中检索到相关信息时,此组件可帮助您将问题更改为更符合知识库表达方式的适当问题。`,
messageDescription:
'组件用于向用户发送静态信息。您可以准备几条消息,这些消息将被随机选择。',
'组件用来返回工作流最后产生的数据内容和原先设置的文本内容。',
keywordDescription: `该组件用于从用户的问题中提取关键词。Top N指定需要提取的关键词数量。`,
switchDescription: `该组件用于根据前面组件的输出评估条件,并相应地引导执行流程。通过定义各种情况并指定操作,或在不满足条件时采取默认操作,实现复杂的分支逻辑。`,
wikipediaDescription: `此组件用于从 https://www.wikipedia.org/ 获取搜索结果。通常它作为知识库的补充。Top N 指定您需要调整的搜索结果数量。`,
@ -1224,6 +1226,11 @@ General实体和关系提取提示来自 GitHub - microsoft/graphrag基于
inputVariables: '输入变量',
addVariable: '新增变量',
runningHintText: '正在运行中...🕞',
openingSwitch: '开场白开关',
openingCopy: '开场白文案',
openingSwitchTip: '您的用户将在开始时看到此欢迎消息。',
modeTip: '模式定义了工作流的启动方式。',
beginInputTip: '通过定义输入参数,此内容可以被后续流程中的其他组件访问。',
},
footer: {
profile: 'All rights reserved @ React',
@ -1235,11 +1242,11 @@ General实体和关系提取提示来自 GitHub - microsoft/graphrag基于
},
llmTools: {
bad_calculator: {
name: "计算器",
description: "用于计算两个数的和的工具(会给出错误答案)",
name: '计算器',
description: '用于计算两个数的和的工具(会给出错误答案)',
params: {
a: "第一个数",
b: "第二个数",
a: '第一个数',
b: '第二个数',
},
},
},

View File

@ -8,10 +8,8 @@ import { useTheme } from '@/components/theme-provider';
import { INoteNode } from '@/interfaces/database/flow';
import { memo, useEffect } from 'react';
import { useTranslation } from 'react-i18next';
import {
useHandleFormValuesChange,
useHandleNodeNameChange,
} from '../../hooks';
import { useHandleNodeNameChange } from '../../hooks';
import { useHandleFormValuesChange } from '../../hooks/use-watch-form-change';
import styles from './index.less';
const { TextArea } = Input;

View File

@ -27,8 +27,12 @@ import { ReactComponent as TemplateIcon } from '@/assets/svg/template.svg';
import { ReactComponent as TuShareIcon } from '@/assets/svg/tushare.svg';
import { ReactComponent as WenCaiIcon } from '@/assets/svg/wencai.svg';
import { ReactComponent as YahooFinanceIcon } from '@/assets/svg/yahoo-finance.svg';
import { CodeTemplateStrMap, ProgrammingLanguage } from '@/constants/agent';
// 邮件功能
export enum AgentDialogueMode {
Conversational = 'Conversational',
Task = 'Task',
}
import {
ChatVariableEnabledField,
@ -56,6 +60,7 @@ import upperFirst from 'lodash/upperFirst';
import {
CirclePower,
CloudUpload,
CodeXml,
IterationCcw,
ListOrdered,
OptionIcon,
@ -103,6 +108,7 @@ export enum Operator {
Email = 'Email',
Iteration = 'Iteration',
IterationStart = 'IterationItem',
Code = 'Code',
}
export const CommonOperatorList = Object.values(Operator).filter(
@ -161,6 +167,7 @@ export const operatorIconMap = {
[Operator.Email]: EmailIcon,
[Operator.Iteration]: IterationCcw,
[Operator.IterationStart]: CirclePower,
[Operator.Code]: CodeXml,
};
export const operatorMap: Record<
@ -299,6 +306,7 @@ export const operatorMap: Record<
[Operator.Email]: { backgroundColor: '#e6f7ff' },
[Operator.Iteration]: { backgroundColor: '#e6f7ff' },
[Operator.IterationStart]: { backgroundColor: '#e6f7ff' },
[Operator.Code]: { backgroundColor: '#4c5458' },
};
export const componentMenuList = [
@ -336,6 +344,9 @@ export const componentMenuList = [
{
name: Operator.Iteration,
},
{
name: Operator.Code,
},
{
name: Operator.Note,
},
@ -416,6 +427,7 @@ export const initialRetrievalValues = {
};
export const initialBeginValues = {
mode: AgentDialogueMode.Conversational,
prologue: `Hi! I'm your assistant, what can I do for you?`,
};
@ -645,6 +657,19 @@ export const initialIterationValues = {
};
export const initialIterationStartValues = {};
export const initialCodeValues = {
lang: 'python',
script: CodeTemplateStrMap[ProgrammingLanguage.Python],
arguments: [
{
name: 'arg1',
},
{
name: 'arg2',
},
],
};
export const CategorizeAnchorPointPositions = [
{ top: 1, right: 34 },
{ top: 8, right: 18 },
@ -726,6 +751,7 @@ export const RestrictedUpstreamMap = {
[Operator.Email]: [Operator.Begin],
[Operator.Iteration]: [Operator.Begin],
[Operator.IterationStart]: [Operator.Begin],
[Operator.Code]: [Operator.Begin],
};
export const NodeMap = {
@ -765,6 +791,7 @@ export const NodeMap = {
[Operator.Email]: 'emailNode',
[Operator.Iteration]: 'group',
[Operator.IterationStart]: 'iterationStartNode',
[Operator.Code]: 'ragNode',
};
export const LanguageOptions = [

View File

@ -17,7 +17,8 @@ import { useForm } from 'react-hook-form';
import { BeginId, Operator, operatorMap } from '../constant';
import { FlowFormContext } from '../context';
import { RunTooltip } from '../flow-tooltip';
import { useHandleFormValuesChange, useHandleNodeNameChange } from '../hooks';
import { useHandleNodeNameChange } from '../hooks';
import { useHandleFormValuesChange } from '../hooks/use-watch-form-change';
import OperatorIcon from '../operator-icon';
import {
buildCategorizeListFromObject,
@ -85,6 +86,7 @@ const FormSheet = ({
const formData = node?.data?.form;
if (isPlainObject(formData)) {
// form.setFieldsValue({ ...formData, items });
console.info('xxx');
form.reset({ ...formData, items });
}
} else {
@ -98,7 +100,7 @@ const FormSheet = ({
return (
<Sheet open={visible} modal={false}>
<SheetTitle className="hidden"></SheetTitle>
<SheetContent className={cn('bg-white top-20 p-0')} closeIcon={false}>
<SheetContent className={cn('top-20 p-0')} closeIcon={false}>
<SheetHeader>
<section className="flex-col border-b py-2 px-5">
<div className="flex items-center gap-2 pb-3">

View File

@ -1,6 +1,7 @@
import { CodeTemplateStrMap, ProgrammingLanguage } from '@/constants/agent';
import { useTranslation } from 'react-i18next';
import { z } from 'zod';
import { Operator } from '../constant';
import { AgentDialogueMode, Operator } from '../constant';
import AkShareForm from '../form/akshare-form';
import AnswerForm from '../form/answer-form';
import ArXivForm from '../form/arxiv-form';
@ -9,6 +10,7 @@ import BaiduForm from '../form/baidu-form';
import BeginForm from '../form/begin-form';
import BingForm from '../form/bing-form';
import CategorizeForm from '../form/categorize-form';
import CodeForm from '../form/code-form';
import CrawlerForm from '../form/crawler-form';
import DeepLForm from '../form/deepl-form';
import DuckDuckGoForm from '../form/duckduckgo-form';
@ -41,20 +43,33 @@ export function useFormConfigMap() {
const FormConfigMap = {
[Operator.Begin]: {
component: BeginForm,
defaultValues: {},
defaultValues: {
enablePrologue: true,
prologue: t('chat.setAnOpenerInitial'),
mode: AgentDialogueMode.Conversational,
},
schema: z.object({
name: z
enablePrologue: z.boolean().optional(),
prologue: z
.string()
.min(1, {
message: t('common.namePlaceholder'),
})
.trim(),
age: z
.string()
.min(1, {
message: t('common.namePlaceholder'),
})
.trim(),
.trim()
.optional(),
mode: z.string(),
query: z
.array(
z.object({
key: z.string(),
type: z.string(),
value: z.string(),
optional: z.boolean(),
name: z.string(),
options: z.array(z.union([z.number(), z.string(), z.boolean()])),
}),
)
.optional(),
}),
},
[Operator.Retrieval]: {
@ -112,7 +127,9 @@ export function useFormConfigMap() {
[Operator.Message]: {
component: MessageForm,
defaultValues: {},
schema: z.object({}),
schema: z.object({
content: z.array(z.string()).optional(),
}),
},
[Operator.Relevant]: {
component: RelevantForm,
@ -130,6 +147,21 @@ export function useFormConfigMap() {
language: z.string(),
}),
},
[Operator.Code]: {
component: CodeForm,
defaultValues: {
lang: ProgrammingLanguage.Python,
script: CodeTemplateStrMap[ProgrammingLanguage.Python],
arguments: [],
},
schema: z.object({
lang: z.string(),
script: z.string(),
arguments: z.array(
z.object({ name: z.string(), component_id: z.string() }),
),
}),
},
[Operator.Baidu]: {
component: BaiduForm,
defaultValues: { top_n: 10 },

View File

@ -1,68 +1,57 @@
import { MinusCircleOutlined, PlusOutlined } from '@ant-design/icons';
import { Button, Form, Input } from 'antd';
'use client';
import { BlockButton, Button } from '@/components/ui/button';
import {
FormControl,
FormField,
FormItem,
FormMessage,
} from '@/components/ui/form';
import { Input } from '@/components/ui/input';
import { X } from 'lucide-react';
import { useFieldArray, useFormContext } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
export function BeginDynamicOptions() {
const { t } = useTranslation();
const form = useFormContext();
const name = 'options';
const { fields, remove, append } = useFieldArray({
name: name,
control: form.control,
});
const BeginDynamicOptions = () => {
return (
<Form.List
name="options"
rules={[
{
validator: async (_, names) => {
if (!names || names.length < 1) {
return Promise.reject(new Error('At least 1 option'));
}
},
},
]}
>
{(fields, { add, remove }, { errors }) => (
<>
{fields.map((field, index) => (
<Form.Item
label={index === 0 ? 'Options' : ''}
required={false}
key={field.key}
>
<Form.Item
{...field}
validateTrigger={['onChange', 'onBlur']}
rules={[
{
required: true,
whitespace: true,
message: 'Please input option or delete this field.',
},
]}
noStyle
>
<Input
placeholder="option"
style={{ width: '90%', marginRight: 16 }}
/>
</Form.Item>
{fields.length > 1 ? (
<MinusCircleOutlined
className="dynamic-delete-button"
onClick={() => remove(field.name)}
/>
) : null}
</Form.Item>
))}
<Form.Item>
<Button
type="dashed"
onClick={() => add()}
icon={<PlusOutlined />}
block
>
Add option
<div className="space-y-5">
{fields.map((field, index) => {
const typeField = `${name}.${index}.value`;
return (
<div key={field.id} className="flex items-center gap-2">
<FormField
control={form.control}
name={typeField}
render={({ field }) => (
<FormItem className="flex-1">
<FormControl>
<Input
{...field}
placeholder={t('common.pleaseInput')}
></Input>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<Button variant={'ghost'} onClick={() => remove(index)}>
<X className="text-text-sub-title-invert " />
</Button>
<Form.ErrorList errors={errors} />
</Form.Item>
</>
)}
</Form.List>
</div>
);
})}
<BlockButton onClick={() => append({ value: '' })} type="button">
{t('flow.addVariable')}
</BlockButton>
</div>
);
};
export default BeginDynamicOptions;
}

View File

@ -1,50 +0,0 @@
import { useSetModalState } from '@/hooks/common-hooks';
import { useSetSelectedRecord } from '@/hooks/logic-hooks';
import { useCallback, useMemo, useState } from 'react';
import { BeginQuery, IOperatorForm } from '../../interface';
export const useEditQueryRecord = ({ form, onValuesChange }: IOperatorForm) => {
const { setRecord, currentRecord } = useSetSelectedRecord<BeginQuery>();
const { visible, hideModal, showModal } = useSetModalState();
const [index, setIndex] = useState(-1);
const otherThanCurrentQuery = useMemo(() => {
const query: BeginQuery[] = form?.getFieldValue('query') || [];
return query.filter((item, idx) => idx !== index);
}, [form, index]);
const handleEditRecord = useCallback(
(record: BeginQuery) => {
const query: BeginQuery[] = form?.getFieldValue('query') || [];
const nextQuery: BeginQuery[] =
index > -1 ? query.toSpliced(index, 1, record) : [...query, record];
onValuesChange?.(
{ query: nextQuery },
{ query: nextQuery, prologue: form?.getFieldValue('prologue') },
);
hideModal();
},
[form, hideModal, index, onValuesChange],
);
const handleShowModal = useCallback(
(idx?: number, record?: BeginQuery) => {
setIndex(idx ?? -1);
setRecord(record ?? ({} as BeginQuery));
showModal();
},
[setRecord, showModal],
);
return {
ok: handleEditRecord,
currentRecord,
setRecord,
visible,
hideModal,
showModal: handleShowModal,
otherThanCurrentQuery,
};
};

View File

@ -1,24 +0,0 @@
.dynamicInputVariable {
background-color: #ebe9e950;
:global(.ant-collapse-content) {
background-color: #f6f6f657;
}
:global(.ant-collapse-content-box) {
padding: 0 !important;
}
margin-bottom: 20px;
.title {
font-weight: 600;
font-size: 16px;
}
.addButton {
color: rgb(22, 119, 255);
font-weight: 600;
}
}
.addButton {
color: rgb(22, 119, 255);
font-weight: 600;
}

View File

@ -1,20 +1,44 @@
import { PlusOutlined } from '@ant-design/icons';
import { Button, Form, Input } from 'antd';
import { Collapse } from '@/components/collapse';
import { Button } from '@/components/ui/button';
import {
Form,
FormControl,
FormField,
FormItem,
FormLabel,
FormMessage,
} from '@/components/ui/form';
import { RAGFlowSelect } from '@/components/ui/select';
import { Switch } from '@/components/ui/switch';
import { Textarea } from '@/components/ui/textarea';
import { FormTooltip } from '@/components/ui/tooltip';
import { buildSelectOptions } from '@/utils/common-util';
import { Plus } from 'lucide-react';
import { useCallback } from 'react';
import { useWatch } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
import { BeginQuery, IOperatorForm } from '../../interface';
import { useEditQueryRecord } from './hooks';
import { ModalForm } from './paramater-modal';
import QueryTable from './query-table';
import { AgentDialogueMode } from '../../constant';
import { INextOperatorForm } from '../../interface';
import { ParameterDialog } from './parameter-dialog';
import { QueryTable } from './query-table';
import { useEditQueryRecord } from './use-edit-query';
import styles from './index.less';
const ModeOptions = buildSelectOptions([
AgentDialogueMode.Conversational,
AgentDialogueMode.Task,
]);
type FieldType = {
prologue?: string;
};
const BeginForm = ({ onValuesChange, form }: IOperatorForm) => {
const BeginForm = ({ form, node }: INextOperatorForm) => {
const { t } = useTranslation();
const query = useWatch({ control: form.control, name: 'query' });
const mode = useWatch({ control: form.control, name: 'mode' });
const enablePrologue = useWatch({
control: form.control,
name: 'enablePrologue',
});
const {
ok,
currentRecord,
@ -22,89 +46,124 @@ const BeginForm = ({ onValuesChange, form }: IOperatorForm) => {
hideModal,
showModal,
otherThanCurrentQuery,
handleDeleteRecord,
} = useEditQueryRecord({
form,
onValuesChange,
node,
});
const handleDeleteRecord = useCallback(
(idx: number) => {
const query = form?.getFieldValue('query') || [];
const nextQuery = query.filter(
(item: BeginQuery, index: number) => index !== idx,
);
onValuesChange?.(
{ query: nextQuery },
{ query: nextQuery, prologue: form?.getFieldValue('prologue') },
);
const handleParameterDialogSubmit = useCallback(
(values: any) => {
ok(values);
},
[form, onValuesChange],
[ok],
);
return (
<Form.Provider
onFormFinish={(name, { values }) => {
if (name === 'queryForm') {
ok(values as BeginQuery);
}
}}
>
<Form
name="basicForm"
onValuesChange={onValuesChange}
autoComplete="off"
form={form}
layout="vertical"
>
<Form.Item<FieldType>
name={'prologue'}
label={t('chat.setAnOpener')}
tooltip={t('chat.setAnOpenerTip')}
initialValue={t('chat.setAnOpenerInitial')}
>
<Input.TextArea autoSize={{ minRows: 5 }} />
</Form.Item>
<section className="px-5 space-y-5">
<Form {...form}>
<FormField
control={form.control}
name={'mode'}
render={({ field }) => (
<FormItem>
<FormLabel tooltip={t('flow.modeTip')}>Mode</FormLabel>
<FormControl>
<RAGFlowSelect
placeholder={t('common.pleaseSelect')}
options={ModeOptions}
{...field}
></RAGFlowSelect>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
{mode === AgentDialogueMode.Conversational && (
<FormField
control={form.control}
name={'enablePrologue'}
render={({ field }) => (
<FormItem>
<FormLabel tooltip={t('flow.openingSwitchTip')}>
{t('flow.openingSwitch')}
</FormLabel>
<FormControl>
<Switch
checked={field.value}
onCheckedChange={field.onChange}
/>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
)}
{enablePrologue && (
<FormField
control={form.control}
name={'prologue'}
render={({ field }) => (
<FormItem>
<FormLabel tooltip={t('chat.setAnOpenerTip')}>
{t('flow.openingCopy')}
</FormLabel>
<FormControl>
<Textarea
rows={5}
{...field}
placeholder={t('common.pleaseInput')}
></Textarea>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
)}
{/* Create a hidden field to make Form instance record this */}
<Form.Item name="query" noStyle />
<Form.Item
shouldUpdate={(prevValues, curValues) =>
prevValues.query !== curValues.query
<FormField
control={form.control}
name={'query'}
render={() => <div></div>}
/>
<Collapse
title={
<div>
{t('flow.input')}
<FormTooltip tooltip={t('flow.beginInputTip')}></FormTooltip>
</div>
}
rightContent={
<Button
variant={'ghost'}
onClick={(e) => {
e.preventDefault();
showModal();
}}
>
<Plus />
</Button>
}
>
{({ getFieldValue }) => {
const query: BeginQuery[] = getFieldValue('query') || [];
return (
<QueryTable
data={query}
showModal={showModal}
deleteRecord={handleDeleteRecord}
></QueryTable>
);
}}
</Form.Item>
<QueryTable
data={query}
showModal={showModal}
deleteRecord={handleDeleteRecord}
></QueryTable>
</Collapse>
<Button
htmlType="button"
style={{ margin: '0 8px' }}
onClick={() => showModal()}
icon={<PlusOutlined />}
block
className={styles.addButton}
>
{t('flow.addItem')}
</Button>
{visible && (
<ModalForm
<ParameterDialog
visible={visible}
hideModal={hideModal}
initialValue={currentRecord}
onOk={ok}
otherThanCurrentQuery={otherThanCurrentQuery}
/>
submit={handleParameterDialogSubmit}
></ParameterDialog>
)}
</Form>
</Form.Provider>
</section>
);
};

View File

@ -1,124 +0,0 @@
import { useResetFormOnCloseModal } from '@/hooks/logic-hooks';
import { IModalProps } from '@/interfaces/common';
import { Form, Input, Modal, Select, Switch } from 'antd';
import { DefaultOptionType } from 'antd/es/select';
import { useEffect, useMemo } from 'react';
import { useTranslation } from 'react-i18next';
import { BeginQueryType, BeginQueryTypeIconMap } from '../../constant';
import { BeginQuery } from '../../interface';
import BeginDynamicOptions from './begin-dynamic-options';
export const ModalForm = ({
visible,
initialValue,
hideModal,
otherThanCurrentQuery,
}: IModalProps<BeginQuery> & {
initialValue: BeginQuery;
otherThanCurrentQuery: BeginQuery[];
}) => {
const { t } = useTranslation();
const [form] = Form.useForm();
const options = useMemo(() => {
return Object.values(BeginQueryType).reduce<DefaultOptionType[]>(
(pre, cur) => {
const Icon = BeginQueryTypeIconMap[cur];
return [
...pre,
{
label: (
<div className="flex items-center gap-2">
<Icon
className={`size-${cur === BeginQueryType.Options ? 4 : 5}`}
></Icon>
{cur}
</div>
),
value: cur,
},
];
},
[],
);
}, []);
useResetFormOnCloseModal({
form,
visible: visible,
});
useEffect(() => {
form.setFieldsValue(initialValue);
}, [form, initialValue]);
const onOk = () => {
form.submit();
};
return (
<Modal
title={t('flow.variableSettings')}
open={visible}
onOk={onOk}
onCancel={hideModal}
centered
>
<Form form={form} layout="vertical" name="queryForm" autoComplete="false">
<Form.Item
name="type"
label="Type"
rules={[{ required: true }]}
initialValue={BeginQueryType.Line}
>
<Select options={options} />
</Form.Item>
<Form.Item
name="key"
label="Key"
rules={[
{ required: true },
() => ({
validator(_, value) {
if (
!value ||
!otherThanCurrentQuery.some((x) => x.key === value)
) {
return Promise.resolve();
}
return Promise.reject(new Error('The key cannot be repeated!'));
},
}),
]}
>
<Input />
</Form.Item>
<Form.Item name="name" label="Name" rules={[{ required: true }]}>
<Input />
</Form.Item>
<Form.Item
name="optional"
label={'Optional'}
valuePropName="checked"
initialValue={false}
>
<Switch />
</Form.Item>
<Form.Item
shouldUpdate={(prevValues, curValues) =>
prevValues.type !== curValues.type
}
>
{({ getFieldValue }) => {
const type: BeginQueryType = getFieldValue('type');
return (
type === BeginQueryType.Options && (
<BeginDynamicOptions></BeginDynamicOptions>
)
);
}}
</Form.Item>
</Form>
</Modal>
);
};

View File

@ -0,0 +1,212 @@
import { Button } from '@/components/ui/button';
import {
Dialog,
DialogContent,
DialogFooter,
DialogHeader,
DialogTitle,
} from '@/components/ui/dialog';
import {
Form,
FormControl,
FormField,
FormItem,
FormLabel,
FormMessage,
} from '@/components/ui/form';
import { Input } from '@/components/ui/input';
import { RAGFlowSelect, RAGFlowSelectOptionType } from '@/components/ui/select';
import { Switch } from '@/components/ui/switch';
import { IModalProps } from '@/interfaces/common';
import { zodResolver } from '@hookform/resolvers/zod';
import { useEffect, useMemo } from 'react';
import { useForm, useWatch } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
import { z } from 'zod';
import { BeginQueryType, BeginQueryTypeIconMap } from '../../constant';
import { BeginQuery } from '../../interface';
import { BeginDynamicOptions } from './begin-dynamic-options';
type ModalFormProps = {
initialValue: BeginQuery;
otherThanCurrentQuery: BeginQuery[];
submit(values: any): void;
};
const FormId = 'BeginParameterForm';
function ParameterForm({
initialValue,
otherThanCurrentQuery,
submit,
}: ModalFormProps) {
const FormSchema = z.object({
type: z.string(),
key: z
.string()
.trim()
.min(1)
.refine(
(value) =>
!value || !otherThanCurrentQuery.some((x) => x.key === value),
{ message: 'The key cannot be repeated!' },
),
optional: z.boolean(),
name: z.string().trim().min(1),
options: z
.array(z.object({ value: z.string().or(z.boolean()).or(z.number()) }))
.optional(),
});
const form = useForm<z.infer<typeof FormSchema>>({
resolver: zodResolver(FormSchema),
defaultValues: {
type: BeginQueryType.Line,
optional: false,
key: '',
name: '',
},
});
const options = useMemo(() => {
return Object.values(BeginQueryType).reduce<RAGFlowSelectOptionType[]>(
(pre, cur) => {
const Icon = BeginQueryTypeIconMap[cur];
return [
...pre,
{
label: (
<div className="flex items-center gap-2">
<Icon
className={`size-${cur === BeginQueryType.Options ? 4 : 5}`}
></Icon>
{cur}
</div>
),
value: cur,
},
];
},
[],
);
}, []);
const type = useWatch({
control: form.control,
name: 'type',
});
useEffect(() => {
form.reset({
...initialValue,
options: initialValue.options?.map((x) => ({ value: x })),
});
}, [form, initialValue]);
function onSubmit(data: z.infer<typeof FormSchema>) {
const values = { ...data, options: data.options?.map((x) => x.value) };
console.log('🚀 ~ onSubmit ~ values:', values);
submit(values);
}
return (
<Form {...form}>
<form
onSubmit={form.handleSubmit(onSubmit)}
id={FormId}
className="space-y-5"
autoComplete="off"
>
<FormField
name="type"
control={form.control}
render={({ field }) => (
<FormItem>
<FormLabel>Type</FormLabel>
<FormControl>
<RAGFlowSelect {...field} options={options} />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
name="key"
control={form.control}
render={({ field }) => (
<FormItem>
<FormLabel>Key</FormLabel>
<FormControl>
<Input {...field} autoComplete="off" />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
name="name"
control={form.control}
render={({ field }) => (
<FormItem>
<FormLabel>Name</FormLabel>
<FormControl>
<Input {...field} />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
name="optional"
control={form.control}
render={({ field }) => (
<FormItem>
<FormLabel>Optional</FormLabel>
<FormControl>
<Switch
checked={field.value}
onCheckedChange={field.onChange}
/>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
{type === BeginQueryType.Options && (
<BeginDynamicOptions></BeginDynamicOptions>
)}
</form>
</Form>
);
}
export function ParameterDialog({
initialValue,
hideModal,
otherThanCurrentQuery,
submit,
}: ModalFormProps & IModalProps<BeginQuery>) {
const { t } = useTranslation();
return (
<Dialog open onOpenChange={hideModal}>
<DialogContent>
<DialogHeader>
<DialogTitle>{t('flow.variableSettings')}</DialogTitle>
</DialogHeader>
<ParameterForm
initialValue={initialValue}
otherThanCurrentQuery={otherThanCurrentQuery}
submit={submit}
></ParameterForm>
<DialogFooter>
<Button type="submit" form={FormId}>
Confirm
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
);
}

View File

@ -1,10 +1,38 @@
import { DeleteOutlined, EditOutlined } from '@ant-design/icons';
import type { TableProps } from 'antd';
import { Collapse, Space, Table, Tooltip } from 'antd';
import { BeginQuery } from '../../interface';
'use client';
import {
ColumnDef,
ColumnFiltersState,
SortingState,
VisibilityState,
flexRender,
getCoreRowModel,
getFilteredRowModel,
getPaginationRowModel,
getSortedRowModel,
useReactTable,
} from '@tanstack/react-table';
import { Pencil, Trash2 } from 'lucide-react';
import * as React from 'react';
import { TableEmpty } from '@/components/table-skeleton';
import { Button } from '@/components/ui/button';
import {
Table,
TableBody,
TableCell,
TableHead,
TableHeader,
TableRow,
} from '@/components/ui/table';
import {
Tooltip,
TooltipContent,
TooltipTrigger,
} from '@/components/ui/tooltip';
import { cn } from '@/lib/utils';
import { useTranslation } from 'react-i18next';
import styles from './index.less';
import { BeginQuery } from '../../interface';
interface IProps {
data: BeginQuery[];
@ -12,81 +40,150 @@ interface IProps {
showModal(index: number, record: BeginQuery): void;
}
const QueryTable = ({ data, deleteRecord, showModal }: IProps) => {
export function QueryTable({ data, deleteRecord, showModal }: IProps) {
const { t } = useTranslation();
const columns: TableProps<BeginQuery>['columns'] = [
const [sorting, setSorting] = React.useState<SortingState>([]);
const [columnFilters, setColumnFilters] = React.useState<ColumnFiltersState>(
[],
);
const [columnVisibility, setColumnVisibility] =
React.useState<VisibilityState>({});
const columns: ColumnDef<BeginQuery>[] = [
{
title: 'Key',
dataIndex: 'key',
key: 'key',
ellipsis: {
showTitle: false,
accessorKey: 'key',
header: 'key',
meta: { cellClassName: 'max-w-16' },
cell: ({ row }) => {
const key: string = row.getValue('key');
return (
<Tooltip>
<TooltipTrigger asChild>
<div className="truncate ">{key}</div>
</TooltipTrigger>
<TooltipContent>
<p>{key}</p>
</TooltipContent>
</Tooltip>
);
},
render: (key) => (
<Tooltip placement="topLeft" title={key}>
{key}
</Tooltip>
),
},
{
title: t('flow.name'),
dataIndex: 'name',
key: 'name',
ellipsis: {
showTitle: false,
accessorKey: 'name',
header: t('flow.name'),
meta: { cellClassName: 'max-w-20' },
cell: ({ row }) => {
const name: string = row.getValue('name');
return (
<Tooltip>
<TooltipTrigger asChild>
<div className="truncate">{name}</div>
</TooltipTrigger>
<TooltipContent>
<p>{name}</p>
</TooltipContent>
</Tooltip>
);
},
render: (name) => (
<Tooltip placement="topLeft" title={name}>
{name}
</Tooltip>
),
},
{
title: t('flow.type'),
dataIndex: 'type',
key: 'type',
accessorKey: 'type',
header: t('flow.type'),
cell: ({ row }) => <div>{row.getValue('type')}</div>,
},
{
title: t('flow.optional'),
dataIndex: 'optional',
key: 'optional',
render: (optional) => (optional ? 'Yes' : 'No'),
accessorKey: 'optional',
header: t('flow.optional'),
cell: ({ row }) => <div>{row.getValue('optional') ? 'Yes' : 'No'}</div>,
},
{
title: t('common.action'),
key: 'action',
render: (_, record, idx) => (
<Space>
<EditOutlined onClick={() => showModal(idx, record)} />
<DeleteOutlined
className="cursor-pointer"
onClick={() => deleteRecord(idx)}
/>
</Space>
),
id: 'actions',
enableHiding: false,
header: t('common.action'),
cell: ({ row }) => {
const record = row.original;
const idx = row.index;
return (
<div>
<Button variant={'ghost'} onClick={() => showModal(idx, record)}>
<Pencil />
</Button>
<Button variant={'ghost'} onClick={() => deleteRecord(idx)}>
<Trash2 />
</Button>
</div>
);
},
},
];
return (
<Collapse
defaultActiveKey={['1']}
className={styles.dynamicInputVariable}
items={[
{
key: '1',
label: <span className={styles.title}>{t('flow.input')}</span>,
children: (
<Table<BeginQuery>
columns={columns}
dataSource={data}
pagination={false}
/>
),
},
]}
/>
);
};
const table = useReactTable({
data,
columns,
onSortingChange: setSorting,
onColumnFiltersChange: setColumnFilters,
getCoreRowModel: getCoreRowModel(),
getPaginationRowModel: getPaginationRowModel(),
getSortedRowModel: getSortedRowModel(),
getFilteredRowModel: getFilteredRowModel(),
onColumnVisibilityChange: setColumnVisibility,
state: {
sorting,
columnFilters,
columnVisibility,
},
});
export default QueryTable;
return (
<div className="w-full">
<div className="rounded-md border">
<Table>
<TableHeader>
{table.getHeaderGroups().map((headerGroup) => (
<TableRow key={headerGroup.id}>
{headerGroup.headers.map((header) => {
return (
<TableHead key={header.id}>
{header.isPlaceholder
? null
: flexRender(
header.column.columnDef.header,
header.getContext(),
)}
</TableHead>
);
})}
</TableRow>
))}
</TableHeader>
<TableBody>
{table.getRowModel().rows?.length ? (
table.getRowModel().rows.map((row) => (
<TableRow
key={row.id}
data-state={row.getIsSelected() && 'selected'}
>
{row.getVisibleCells().map((cell) => (
<TableCell
key={cell.id}
className={cn(cell.column.columnDef.meta?.cellClassName)}
>
{flexRender(
cell.column.columnDef.cell,
cell.getContext(),
)}
</TableCell>
))}
</TableRow>
))
) : (
<TableEmpty columnsLength={columns.length}></TableEmpty>
)}
</TableBody>
</Table>
</div>
</div>
);
}

View File

@ -0,0 +1,88 @@
import { useSetModalState } from '@/hooks/common-hooks';
import { useSetSelectedRecord } from '@/hooks/logic-hooks';
import { useCallback, useMemo, useState } from 'react';
import { BeginQuery, INextOperatorForm } from '../../interface';
import useGraphStore from '../../store';
export function useUpdateQueryToNodeForm({ form, node }: INextOperatorForm) {
const updateNodeForm = useGraphStore((state) => state.updateNodeForm);
const update = useCallback(
(query: BeginQuery[]) => {
const values = form.getValues();
const nextValues = { ...values, query };
if (node?.id) {
updateNodeForm(node.id, nextValues);
}
},
[form, node?.id, updateNodeForm],
);
return { update };
}
export const useEditQueryRecord = ({ form, node }: INextOperatorForm) => {
const { setRecord, currentRecord } = useSetSelectedRecord<BeginQuery>();
const { visible, hideModal, showModal } = useSetModalState();
const [index, setIndex] = useState(-1);
const { update } = useUpdateQueryToNodeForm({ form, node });
const otherThanCurrentQuery = useMemo(() => {
const query: BeginQuery[] = form?.getValues('query') || [];
return query.filter((item, idx) => idx !== index);
}, [form, index]);
const handleEditRecord = useCallback(
(record: BeginQuery) => {
const query: BeginQuery[] = form?.getValues('query') || [];
console.log('🚀 ~ useEditQueryRecord ~ query:', query);
const nextQuery: BeginQuery[] =
index > -1 ? query.toSpliced(index, 1, record) : [...query, record];
form.setValue('query', nextQuery, {
shouldDirty: true,
shouldTouch: true,
});
update(nextQuery);
hideModal();
},
[form, hideModal, index, update],
);
const handleShowModal = useCallback(
(idx?: number, record?: BeginQuery) => {
setIndex(idx ?? -1);
setRecord(record ?? ({} as BeginQuery));
showModal();
},
[setRecord, showModal],
);
const handleDeleteRecord = useCallback(
(idx: number) => {
const query = form?.getValues('query') || [];
const nextQuery = query.filter(
(item: BeginQuery, index: number) => index !== idx,
);
form.setValue('query', nextQuery, { shouldDirty: true });
update(nextQuery);
},
[form, update],
);
return {
ok: handleEditRecord,
currentRecord,
setRecord,
visible,
hideModal,
showModal: handleShowModal,
otherThanCurrentQuery,
handleDeleteRecord,
};
};

View File

@ -0,0 +1,62 @@
import { BlockButton } from '@/components/ui/button';
import { RAGFlowNodeType } from '@/interfaces/database/flow';
import { MinusCircleOutlined } from '@ant-design/icons';
import { Form, Input, Select } from 'antd';
import { useTranslation } from 'react-i18next';
import { useBuildComponentIdSelectOptions } from '../../hooks/use-get-begin-query';
import { FormCollapse } from '../components/dynamic-input-variable';
type DynamicInputVariableProps = {
name?: string;
node?: RAGFlowNodeType;
};
export const DynamicInputVariable = ({
name = 'arguments',
node,
}: DynamicInputVariableProps) => {
const { t } = useTranslation();
const valueOptions = useBuildComponentIdSelectOptions(
node?.id,
node?.parentId,
);
return (
<FormCollapse title={t('flow.inputVariables')}>
<Form.List name={name}>
{(fields, { add, remove }) => (
<>
{fields.map(({ key, name, ...restField }) => (
<div key={key} className="flex items-center gap-2 pb-4">
<Form.Item
{...restField}
name={[name, 'name']}
className="m-0 flex-1"
>
<Input />
</Form.Item>
<Form.Item
{...restField}
name={[name, 'component_id']}
className="m-0 flex-1"
>
<Select
placeholder={t('common.pleaseSelect')}
options={valueOptions}
></Select>
</Form.Item>
<MinusCircleOutlined onClick={() => remove(name)} />
</div>
))}
<Form.Item>
<BlockButton onClick={() => add()}>
{t('flow.addVariable')}
</BlockButton>
</Form.Item>
</>
)}
</Form.List>
</FormCollapse>
);
};

View File

@ -0,0 +1,144 @@
import Editor, { loader } from '@monaco-editor/react';
import { INextOperatorForm } from '../../interface';
import { FormContainer } from '@/components/form-container';
import {
Form,
FormControl,
FormField,
FormItem,
FormLabel,
FormMessage,
} from '@/components/ui/form';
import { Input } from '@/components/ui/input';
import { RAGFlowSelect } from '@/components/ui/select';
import { CodeTemplateStrMap, ProgrammingLanguage } from '@/constants/agent';
import { ICodeForm } from '@/interfaces/database/flow';
import { useEffect } from 'react';
import { useTranslation } from 'react-i18next';
import {
DynamicInputVariable,
TypeOptions,
VariableTitle,
} from './next-variable';
loader.config({ paths: { vs: '/vs' } });
const options = [
ProgrammingLanguage.Python,
ProgrammingLanguage.Javascript,
].map((x) => ({ value: x, label: x }));
const CodeForm = ({ form, node }: INextOperatorForm) => {
const formData = node?.data.form as ICodeForm;
const { t } = useTranslation();
useEffect(() => {
// TODO: Direct operation zustand is more elegant
form?.setValue(
'script',
CodeTemplateStrMap[formData.lang as ProgrammingLanguage],
);
}, [form, formData.lang]);
return (
<Form {...form}>
<form
className="p-5 space-y-5"
onSubmit={(e) => {
e.preventDefault();
}}
>
<DynamicInputVariable
node={node}
title={t('flow.input')}
></DynamicInputVariable>
<FormField
control={form.control}
name="script"
render={({ field }) => (
<FormItem>
<FormLabel className="flex items-center justify-between">
Code
<FormField
control={form.control}
name="lang"
render={({ field }) => (
<FormItem>
<FormControl>
<RAGFlowSelect {...field} options={options} />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
</FormLabel>
<FormControl>
<Editor
height={300}
theme="vs-dark"
language={formData.lang}
options={{
minimap: { enabled: false },
automaticLayout: true,
}}
{...field}
/>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
{formData.lang === ProgrammingLanguage.Python ? (
<DynamicInputVariable
node={node}
title={'Return Values'}
name={'return'}
></DynamicInputVariable>
) : (
<div>
<VariableTitle title={'Return Values'}></VariableTitle>
<FormContainer className="space-y-5">
<FormField
control={form.control}
name={'return.name'}
render={({ field }) => (
<FormItem>
<FormLabel>Name</FormLabel>
<FormControl>
<Input
{...field}
placeholder={t('common.pleaseInput')}
></Input>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name={`return.component_id`}
render={({ field }) => (
<FormItem className="flex-1">
<FormLabel>Type</FormLabel>
<FormControl>
<RAGFlowSelect
placeholder={t('common.pleaseSelect')}
options={TypeOptions}
{...field}
></RAGFlowSelect>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
</FormContainer>
</div>
)}
</form>
</Form>
);
};
export default CodeForm;

View File

@ -0,0 +1,121 @@
'use client';
import { FormContainer } from '@/components/form-container';
import { BlockButton, Button } from '@/components/ui/button';
import {
FormControl,
FormField,
FormItem,
FormMessage,
} from '@/components/ui/form';
import { Input } from '@/components/ui/input';
import { RAGFlowSelect } from '@/components/ui/select';
import { Separator } from '@/components/ui/separator';
import { RAGFlowNodeType } from '@/interfaces/database/flow';
import { X } from 'lucide-react';
import { ReactNode } from 'react';
import { useFieldArray, useFormContext } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
import { useBuildComponentIdSelectOptions } from '../../hooks/use-get-begin-query';
interface IProps {
node?: RAGFlowNodeType;
name?: string;
}
export const TypeOptions = [
'String',
'Number',
'Boolean',
'Array[String]',
'Array[Number]',
'Object',
].map((x) => ({ label: x, value: x }));
export function DynamicVariableForm({ node, name = 'arguments' }: IProps) {
const { t } = useTranslation();
const form = useFormContext();
const { fields, remove, append } = useFieldArray({
name: name,
control: form.control,
});
const valueOptions = useBuildComponentIdSelectOptions(
node?.id,
node?.parentId,
);
return (
<div className="space-y-5">
{fields.map((field, index) => {
const typeField = `${name}.${index}.name`;
return (
<div key={field.id} className="flex items-center gap-2">
<FormField
control={form.control}
name={typeField}
render={({ field }) => (
<FormItem className="w-2/5">
<FormControl>
<Input
{...field}
placeholder={t('common.pleaseInput')}
></Input>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<Separator className="w-3 text-text-sub-title" />
<FormField
control={form.control}
name={`${name}.${index}.component_id`}
render={({ field }) => (
<FormItem className="flex-1">
<FormControl>
<RAGFlowSelect
placeholder={t('common.pleaseSelect')}
options={
name === 'arguments' ? valueOptions : TypeOptions
}
{...field}
></RAGFlowSelect>
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<Button variant={'ghost'} onClick={() => remove(index)}>
<X className="text-text-sub-title-invert " />
</Button>
</div>
);
})}
<BlockButton
onClick={() => append({ name: '', component_id: undefined })}
>
{t('flow.addVariable')}
</BlockButton>
</div>
);
}
export function VariableTitle({ title }: { title: ReactNode }) {
return <div className="font-medium text-text-title pb-2">{title}</div>;
}
export function DynamicInputVariable({
node,
name,
title,
}: IProps & { title: ReactNode }) {
return (
<section>
<VariableTitle title={title}></VariableTitle>
<FormContainer>
<DynamicVariableForm node={node} name={name}></DynamicVariableForm>
</FormContainer>
</section>
);
}

View File

@ -1,4 +1,6 @@
import { Button } from '@/components/ui/button';
import { FormContainer } from '@/components/form-container';
import { PromptEditor } from '@/components/prompt-editor';
import { BlockButton, Button } from '@/components/ui/button';
import {
Form,
FormControl,
@ -7,73 +9,70 @@ import {
FormLabel,
FormMessage,
} from '@/components/ui/form';
import { Textarea } from '@/components/ui/textarea';
import { PlusCircle, Trash2 } from 'lucide-react';
import { X } from 'lucide-react';
import { useFieldArray } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
import { INextOperatorForm } from '../../interface';
const MessageForm = ({ form }: INextOperatorForm) => {
const { t } = useTranslation();
const { fields, append, remove } = useFieldArray({
name: 'messages',
name: 'content',
control: form.control,
});
return (
<Form {...form}>
<form
className="space-y-6"
className="space-y-5 px-5"
autoComplete="off"
onSubmit={(e) => {
e.preventDefault();
}}
>
<FormItem>
<FormLabel>{t('flow.msg')}</FormLabel>
<div className="space-y-4">
{fields.map((field, index) => (
<div key={field.id} className="flex items-start gap-2">
<FormField
control={form.control}
name={`messages.${index}`}
render={({ field }) => (
<FormItem className="flex-1">
<FormControl>
<Textarea
{...field}
placeholder={t('flow.messagePlaceholder')}
rows={5}
/>
</FormControl>
</FormItem>
<FormContainer>
<FormItem>
<FormLabel tooltip={t('flow.msgTip')}>{t('flow.msg')}</FormLabel>
<div className="space-y-4">
{fields.map((field, index) => (
<div key={field.id} className="flex items-start gap-2">
<FormField
control={form.control}
name={`content.${index}.value`}
render={({ field }) => (
<FormItem className="flex-1">
<FormControl>
<PromptEditor
{...field}
placeholder={t('flow.messagePlaceholder')}
></PromptEditor>
</FormControl>
</FormItem>
)}
/>
{fields.length > 1 && (
<Button
type="button"
variant={'ghost'}
onClick={() => remove(index)}
>
<X />
</Button>
)}
/>
{fields.length > 1 && (
<Button
variant="ghost"
size="icon"
type="button"
onClick={() => remove(index)}
className="cursor-pointer text-colors-text-functional-danger"
>
<Trash2 className="h-4 w-4" />
</Button>
)}
</div>
))}
</div>
))}
<Button
type="button"
variant="outline"
onClick={() => append(' ')} // "" will cause the inability to add, refer to: https://github.com/orgs/react-hook-form/discussions/8485#discussioncomment-2961861
className="w-full mt-4"
>
<PlusCircle className="mr-2 h-4 w-4" />
{t('flow.addMessage')}
</Button>
</div>
<FormMessage />
</FormItem>
<BlockButton
type="button"
onClick={() => append({ value: '' })} // "" will cause the inability to add, refer to: https://github.com/orgs/react-hook-form/discussions/8485#discussioncomment-2961861
>
{t('flow.addMessage')}
</BlockButton>
</div>
<FormMessage />
</FormItem>
</FormContainer>
</form>
</Form>
);

View File

@ -40,6 +40,7 @@ import {
initialBeginValues,
initialBingValues,
initialCategorizeValues,
initialCodeValues,
initialConcentratorValues,
initialCrawlerValues,
initialDeepLValues,
@ -141,6 +142,7 @@ export const useInitializeOperatorParams = () => {
[Operator.Email]: initialEmailValues,
[Operator.Iteration]: initialIterationValues,
[Operator.IterationStart]: initialIterationValues,
[Operator.Code]: initialCodeValues,
};
}, [llmId]);
@ -292,7 +294,13 @@ export const useHandleFormValuesChange = (
useEffect(() => {
const subscription = form?.watch((value, { name, type, values }) => {
if (id && name) {
console.log('🚀 ~ useEffect ~ value:', type, values);
console.log(
'🚀 ~ useEffect ~ value:',
name,
type,
values,
operatorName,
);
let nextValues: any = value;
// Fixed the issue that the related form value does not change after selecting the freedom field of the model
@ -318,7 +326,10 @@ export const useHandleFormValuesChange = (
category_description: buildCategorizeObjectFromList(value.items),
};
}
updateNodeForm(id, nextValues);
// Manually triggered form updates are synchronized to the canvas
if (type) {
updateNodeForm(id, nextValues);
}
}
});
return () => subscription?.unsubscribe();

View File

@ -0,0 +1,98 @@
import { CodeTemplateStrMap, ProgrammingLanguage } from '@/constants/agent';
import { settledModelVariableMap } from '@/constants/knowledge';
import { omit } from 'lodash';
import { useCallback, useEffect } from 'react';
import { UseFormReturn } from 'react-hook-form';
import { Operator } from '../constant';
import useGraphStore from '../store';
import { buildCategorizeObjectFromList } from '../utils';
export const useHandleFormValuesChange = (
operatorName: Operator,
id?: string,
form?: UseFormReturn,
) => {
const updateNodeForm = useGraphStore((state) => state.updateNodeForm);
const handleValuesChange = useCallback(
(changedValues: any, values: any) => {
let nextValues: any = values;
// Fixed the issue that the related form value does not change after selecting the freedom field of the model
if (
Object.keys(changedValues).length === 1 &&
'parameter' in changedValues &&
changedValues['parameter'] in settledModelVariableMap
) {
nextValues = {
...values,
...settledModelVariableMap[
changedValues['parameter'] as keyof typeof settledModelVariableMap
],
};
}
if (id) {
updateNodeForm(id, nextValues);
}
},
[updateNodeForm, id],
);
useEffect(() => {
const subscription = form?.watch((value, { name, type, values }) => {
console.log('🚀 ~ subscription ~ value:', value);
if (id && name) {
console.log(
'🚀 ~ useEffect ~ value:',
name,
type,
values,
operatorName,
);
let nextValues: any = value;
// Fixed the issue that the related form value does not change after selecting the freedom field of the model
if (
name === 'parameter' &&
value['parameter'] in settledModelVariableMap
) {
nextValues = {
...value,
...settledModelVariableMap[
value['parameter'] as keyof typeof settledModelVariableMap
],
};
}
const categoryDescriptionRegex = /items\.\d+\.name/g;
if (
operatorName === Operator.Categorize &&
categoryDescriptionRegex.test(name)
) {
nextValues = {
...omit(value, 'items'),
category_description: buildCategorizeObjectFromList(value.items),
};
}
if (
operatorName === Operator.Code &&
type === 'change' &&
name === 'lang'
) {
nextValues = {
...value,
script: CodeTemplateStrMap[value.lang as ProgrammingLanguage],
};
}
// Manually triggered form updates are synchronized to the canvas
if (type) {
// run(id, nextValues);
updateNodeForm(id, nextValues);
}
}
});
return () => subscription?.unsubscribe();
}, [form, form?.watch, id, operatorName, updateNodeForm]);
return { handleValuesChange };
};

View File

@ -1,56 +1,47 @@
import { MoreButton } from '@/components/more-button';
import { Avatar, AvatarFallback, AvatarImage } from '@/components/ui/avatar';
import { Button } from '@/components/ui/button';
import { Card, CardContent } from '@/components/ui/card';
import { useNavigatePage } from '@/hooks/logic-hooks/navigate-hooks';
import { IFlow } from '@/interfaces/database/flow';
import { formatPureDate } from '@/utils/date';
import { ChevronRight, Trash2 } from 'lucide-react';
import { formatDate } from '@/utils/date';
import { AgentDropdown } from './agent-dropdown';
import { useRenameAgent } from './use-rename-agent';
interface IProps {
export type DatasetCardProps = {
data: IFlow;
}
} & Pick<ReturnType<typeof useRenameAgent>, 'showAgentRenameModal'>;
export function AgentCard({ data }: IProps) {
export function AgentCard({ data, showAgentRenameModal }: DatasetCardProps) {
const { navigateToAgent } = useNavigatePage();
return (
<Card className="bg-colors-background-inverse-weak border-colors-outline-neutral-standard">
<CardContent className="p-4">
<div className="flex justify-between mb-4">
{data.avatar ? (
<div
className="w-[70px] h-[70px] rounded-xl bg-cover"
style={{ backgroundImage: `url(${data.avatar})` }}
/>
) : (
<Avatar className="w-[70px] h-[70px]">
<AvatarImage src="https://github.com/shadcn.png" />
<AvatarFallback>CN</AvatarFallback>
<Card key={data.id} className="w-40" onClick={navigateToAgent(data.id)}>
<CardContent className="p-2.5 pt-2 group">
<section className="flex justify-between mb-2">
<div className="flex gap-2 items-center">
<Avatar className="size-6 rounded-lg">
<AvatarImage src={data.avatar} />
<AvatarFallback className="rounded-lg ">CN</AvatarFallback>
</Avatar>
)}
</div>
<h3 className="text-xl font-bold mb-2">{data.title}</h3>
<p>An app that does things An app that does things</p>
<section className="flex justify-between pt-3">
<div>
Search app
<p className="text-sm opacity-80">
{formatPureDate(data.update_time)}
</div>
<AgentDropdown
showAgentRenameModal={showAgentRenameModal}
agent={data}
>
<MoreButton></MoreButton>
</AgentDropdown>
</section>
<div className="flex justify-between items-end">
<div className="w-full">
<h3 className="text-lg font-semibold mb-2 line-clamp-1">
{data.title}
</h3>
<p className="text-xs text-text-sub-title">{data.description}</p>
<p className="text-xs text-text-sub-title">
{formatDate(data.update_time)}
</p>
</div>
<div className="space-x-2">
<Button
variant="icon"
size="icon"
onClick={navigateToAgent(data.id)}
>
<ChevronRight className="h-6 w-6" />
</Button>
<Button variant="icon" size="icon">
<Trash2 />
</Button>
</div>
</section>
</div>
</CardContent>
</Card>
);

View File

@ -0,0 +1,64 @@
import { ConfirmDeleteDialog } from '@/components/confirm-delete-dialog';
import {
DropdownMenu,
DropdownMenuContent,
DropdownMenuItem,
DropdownMenuSeparator,
DropdownMenuTrigger,
} from '@/components/ui/dropdown-menu';
import { useDeleteAgent } from '@/hooks/use-agent-request';
import { IFlow } from '@/interfaces/database/flow';
import { PenLine, Trash2 } from 'lucide-react';
import { MouseEventHandler, PropsWithChildren, useCallback } from 'react';
import { useTranslation } from 'react-i18next';
import { useRenameAgent } from './use-rename-agent';
export function AgentDropdown({
children,
showAgentRenameModal,
agent: agent,
}: PropsWithChildren &
Pick<ReturnType<typeof useRenameAgent>, 'showAgentRenameModal'> & {
agent: IFlow;
}) {
const { t } = useTranslation();
const { deleteAgent } = useDeleteAgent();
const handleShowAgentRenameModal: MouseEventHandler<HTMLDivElement> =
useCallback(
(e) => {
e.stopPropagation();
showAgentRenameModal(agent);
},
[agent, showAgentRenameModal],
);
const handleDelete: MouseEventHandler<HTMLDivElement> = useCallback(() => {
deleteAgent([agent.id]);
}, [agent.id, deleteAgent]);
return (
<DropdownMenu>
<DropdownMenuTrigger asChild>{children}</DropdownMenuTrigger>
<DropdownMenuContent>
<DropdownMenuItem onClick={handleShowAgentRenameModal}>
{t('common.rename')} <PenLine />
</DropdownMenuItem>
<DropdownMenuSeparator />
<ConfirmDeleteDialog onOk={handleDelete}>
<DropdownMenuItem
className="text-text-delete-red"
onSelect={(e) => {
e.preventDefault();
}}
onClick={(e) => {
e.stopPropagation();
}}
>
{t('common.delete')} <Trash2 />
</DropdownMenuItem>
</ConfirmDeleteDialog>
</DropdownMenuContent>
</DropdownMenu>
);
}

View File

@ -1,33 +1,76 @@
import ListFilterBar from '@/components/list-filter-bar';
import { RenameDialog } from '@/components/rename-dialog';
import { Button } from '@/components/ui/button';
import { useFetchFlowList } from '@/hooks/flow-hooks';
import { RAGFlowPagination } from '@/components/ui/ragflow-pagination';
import { useNavigatePage } from '@/hooks/logic-hooks/navigate-hooks';
import { useFetchAgentListByPage } from '@/hooks/use-agent-request';
import { pick } from 'lodash';
import { Plus } from 'lucide-react';
import { useCallback } from 'react';
import { AgentCard } from './agent-card';
import { useRenameAgent } from './use-rename-agent';
export default function Agent() {
const { data } = useFetchFlowList();
const { data, pagination, setPagination, searchString, handleInputChange } =
useFetchAgentListByPage();
const { navigateToAgentTemplates } = useNavigatePage();
const {
agentRenameLoading,
initialAgentName,
onAgentRenameOk,
agentRenameVisible,
hideAgentRenameModal,
showAgentRenameModal,
} = useRenameAgent();
const handlePageChange = useCallback(
(page: number, pageSize?: number) => {
setPagination({ page, pageSize });
},
[setPagination],
);
return (
<section>
<div className="px-8 pt-8">
<ListFilterBar title="Agents">
<Button
variant={'tertiary'}
size={'sm'}
onClick={navigateToAgentTemplates}
>
<ListFilterBar
title="Agents"
searchString={searchString}
onSearchChange={handleInputChange}
>
<Button onClick={navigateToAgentTemplates}>
<Plus className="mr-2 h-4 w-4" />
Create app
Create Agent
</Button>
</ListFilterBar>
</div>
<div className="grid gap-6 sm:grid-cols-1 md:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6 2xl:grid-cols-8 max-h-[84vh] overflow-auto px-8">
<div className="flex flex-wrap gap-4 max-h-[78vh] overflow-auto px-8">
{data.map((x) => {
return <AgentCard key={x.id} data={x}></AgentCard>;
return (
<AgentCard
key={x.id}
data={x}
showAgentRenameModal={showAgentRenameModal}
></AgentCard>
);
})}
</div>
<div className="mt-8 px-8">
<RAGFlowPagination
{...pick(pagination, 'current', 'pageSize')}
total={pagination.total}
onChange={handlePageChange}
></RAGFlowPagination>
</div>
{agentRenameVisible && (
<RenameDialog
hideModal={hideAgentRenameModal}
onOk={onAgentRenameOk}
initialName={initialAgentName}
loading={agentRenameLoading}
></RenameDialog>
)}
</section>
);
}

View File

@ -0,0 +1,46 @@
import { useSetModalState } from '@/hooks/common-hooks';
import { useUpdateAgentSetting } from '@/hooks/use-agent-request';
import { IFlow } from '@/interfaces/database/flow';
import { pick } from 'lodash';
import { useCallback, useState } from 'react';
export const useRenameAgent = () => {
const [agent, setAgent] = useState<IFlow>({} as IFlow);
const {
visible: agentRenameVisible,
hideModal: hideAgentRenameModal,
showModal: showAgentRenameModal,
} = useSetModalState();
const { updateAgentSetting, loading } = useUpdateAgentSetting();
const onAgentRenameOk = useCallback(
async (name: string) => {
const ret = await updateAgentSetting({
...pick(agent, ['id', 'avatar', 'description', 'permission']),
title: name,
});
if (ret === 0) {
hideAgentRenameModal();
}
},
[updateAgentSetting, agent, hideAgentRenameModal],
);
const handleShowAgentRenameModal = useCallback(
async (record: IFlow) => {
setAgent(record);
showAgentRenameModal();
},
[showAgentRenameModal],
);
return {
agentRenameLoading: loading,
initialAgentName: agent?.title,
onAgentRenameOk,
agentRenameVisible,
hideAgentRenameModal,
showAgentRenameModal: handleShowAgentRenameModal,
};
};

View File

@ -16,6 +16,7 @@ import { useClickDrawer } from '@/components/pdf-drawer/hooks';
import {
useFetchNextConversation,
useGetChatSearchParams,
useFetchNextDialog,
} from '@/hooks/chat-hooks';
import { useFetchUserInfo } from '@/hooks/user-setting-hooks';
import { buildMessageUuidWithRole } from '@/utils/chat';
@ -29,6 +30,8 @@ interface IProps {
const ChatContainer = ({ controller }: IProps) => {
const { conversationId } = useGetChatSearchParams();
const { data: conversation } = useFetchNextConversation();
const { data: currentDialog } = useFetchNextDialog();
const {
value,
@ -70,7 +73,7 @@ const ChatContainer = ({ controller }: IProps) => {
item={message}
nickname={userInfo.nickname}
avatar={userInfo.avatar}
avatarDialog={conversation.avatar}
avatarDialog={currentDialog.icon}
reference={buildMessageItemReference(
{
message: derivedMessages,

View File

@ -1,8 +1,8 @@
import { useFetchAgentList } from '@/hooks/use-agent-request';
import { useFetchAgentListByPage } from '@/hooks/use-agent-request';
import { ApplicationCard } from './application-card';
export function Agents() {
const { data } = useFetchAgentList();
const { data } = useFetchAgentListByPage();
return data
.slice(0, 10)

View File

@ -140,3 +140,7 @@ export function formatFileSize(bytes: number, si = true, dp = 1) {
return nextBytes.toFixed(dp) + ' ' + units[u];
}
export function buildSelectOptions(list: Array<string>) {
return list.map((x) => ({ label: x, value: x }));
}

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