如何在Dify沙盒中安装运行pandas、numpy

1. 创建python-requirements.txt文件
2. 创建config.yaml文件
3. 重启 docker-sandbox-1
4. 为什么要这样改的一些代码解析（Youtube视频截图）

1. 创建python-requirements.txt文件

在 Dify 的 Docker 目录下面，移动到sandbox目录下面，

cd volumes/sandbox/

在dependencies目录下面创建python-requirements.txt，

vi dependencies/python-requirements.txt---
pandas
---

2. 创建config.yaml文件

将下面code目录下的所有代码，下载到dependencies目录下面，

https://github.com/brightwang/dify-sandbox-use-check-permissions/tree/main/dependencies/code

完成后的目录结构如下，

└── dependencies├── code│   ├── get_default_syscalls_amd64│   ├── get_default_syscalls_arm64│   ├── syscall_amd64.go│   ├── syscalls_arm64.go│   ├── test.py│   └── test.sh└── python-requirements.txt

将test.py修改为Dify中代码执行节点的代码后，进入到sandbox的Docker容器，

docker exec -it docker-sandbox-1 bash

移动到 code 目录下面，

cd dependencies/code

执行验证，

bash test.sh

将得到的结果，结合

0,1,3,8,9,10,11,12,13,14,15,16,16,24,25,35,39,60,96,102,105,106,110,131,186,201,202,217,228,230,231,233,234,257,262,270,273,291,318,334

一起写入到conf/config.yml文件中，示例如下，

app:port: 8194debug: Truekey: dify-sandbox
max_workers: 4
max_requests: 50
worker_timeout: 5
python_path: /usr/local/bin/python3
enable_network: True # please make sure there is no network risk in your environment
# enable_preload: False # please keep it as False for security purposes
#allowed_syscalls: [0,1,3,8,9,10,11,12,13,14,15,16,16,24,25,35,39,60,96,102,105,106,110,131,186,201,202,217,228,230,231,233,234,257,262,270,273,291,318,334] # please leave it empty if you have no idea how seccomp works
allowed_syscalls: [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499]
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