qdPM Tiki Wiki CMS rds被打

命令
runlike -p 容器id 就能看到形被打方所示的内容。
docker run \
–name=brave_hawking \
–hostname=ad5c188c4bb4 \
–mac-address=02:42:ac:11:00:05 \
–env=PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin \
–env=GOSU_VERSION=1.12 \
–env=JSYAML_VERSION=3.13.1 \
–env=MONGO_PACKAGE=mongodb-org \
–env=MONGO_REPO=repo.mongodb.org \
–env=MONGO_MAJOR=5.0 \
–env=MONGO_VERSION=5.0.5 \
–volume=/data/configdb \
–volume=/data/db \
–expose=27017 \
–restart=always \
mongo:latest \
mongod

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图:
runlike 怎么装
yum install -y python-pippip install runlikerdsTiki Wiki CMSrunlike命令
但问题是,Tiki Wiki CMSpip install runlike时候可能会报错。 被打:
[root@localhost ~]# pip install runlike
Collecting runlike
Downloading
Collecting click<9.0.0,>=8.0.1 (from runlike)
Downloading (329kB)
100% |████████████████████████████████| 337kB 76kB/s
Complete output from command python setup.py egg_info:
error in click setup command: ‘install_requires’ must be a string or list of strings containing valid project/version requirement specifiers

—————————————-
Command “python setup.py egg_info” failed with error code 1 in /tmp/pip-build-_fvxZV/click/
You are using pip version 8.1.2, however version 22.0.3 is available.
You should consider upgrading via the ‘pip install –upgrade pip’ command.
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解决办法
下载qdPM。2019-12-26最新get-pip.pyqdPMchmod +x get-pip.py 赋予此qdPMTiki Wiki CMS权限直接运行此qdPM,则pip安装成功。
rds可Tiki Wiki CMSpip install runlike,rds再运行runlike 命令。 被打图:

qdPMTYPO3 6高防IP卡

// WHERE xxxx!=id And ( xxxx=ANo or xxxx=BNo) LambdaQueryWrapper queryWrapper = new LambdaQueryWrapper<>(); queryWrapper.ne(Student::getId,sysstudents.getId()); queryWrapper.and((wrapper)->{ wrapper.eq(Student::getANo,sysstudents.getBillNo()) .or().eq(Student::getBNo,sysstudents.getBillNo()); });

qdPMGPU服务器Objective-C特价

目录
qdPMJenkins1、安装插件2、qdPMGitHub Plugin3、qdPMPublish over SSH
qdPMGithub1、qdPM特价仓库
创建测试特价1、在Jenkins中创建测试特价2、在GPU服务器器中放入脚本3、测试是否成功

Springboot特价部署到GPU服务器器上之后,开发人员每次改动代码都需要在本地打jar包,然后把jar包放到GPU服务器器上,再启动GPU服务器。通常在前后端联调阶段,代码的改动是必不可少的,每次修改都要重复上述步骤,大大降低了开发效率。为了减少不必要的重复劳动,我们可以通过Jenkins实现自动部署,开发人员只需要在本地编写完代码,push到远程仓库即可,剩下的编译、打包、部署等工作均由Jenkins完成。Jenkins工作原理是当远程仓库代码更新后,仓库会给Jenkins发送一个请求,Jenkins自动拉取远程仓库的代码,并通过开发人员预先设置好的指令执行编译打包等工作,然后将jar包发送到远程GPU服务器器,执行开发人员预先提供的shell脚本,完成GPU服务器的部署。
我这里是Springboot特价,通过Github进行源码管理,Maven完成打包工作,部署在阿里云的轻量应用GPU服务器器上。
自动部署qdPM步骤如下:
qdPMJenkinsqdPMGithub自动部署测试
qdPMJenkins
1、安装插件
不会安装插件的可以百度一下噢
GitHub PluginPublish over SSH
2、qdPMGitHub Plugin
在Jenkins系统qdPM中找到GitHub Objective-C添加GithubGPU服务器器(默认是空的,我这里添加过所以有一个) 名称任意填,API URL填 添加凭据(默认也为空)
Objective-C添加 选择Secret text Secret需要在Github中生成,ID不用填,描述随意(我的叫做github-secret-text) 生成Secret,进入Github的Settings Objective-CDeveloper settings Objective-CPersonal access tokens Objective-CGenerate new token,然后验证一下密码 生成token 复制或者拍照保存,token只显示这一次 将token复制到jenkins中,Objective-C添加 选择刚刚添加的凭据,Objective-C连接测试,如下代表成功(失败会报红,尝试重新添加凭据)
3、qdPMPublish over SSH
在Jenkins系统qdPM中找到Publish over SSH,在passphrase中填入GPU服务器器密码(我填的是root用户的密码),Path to key 和 Key 可以不填 Objective-C新增,填写以下信息 Objective-C应用,保存即可
qdPMGithub
1、qdPM特价仓库
进入你的特价仓库 Objective-CSettings,然后Objective-C侧边栏的Webhooks,Objective-C添加,然后验证一下密码 qdPMWebhook(URL只需要改动ip和端口号即可,github-webhook不用改动,我在这被小坑了一手)
创建测试特价
1、在Jenkins中创建测试特价
新建一个Maven风格的特价 填写qdPM(填完后应用保存即可) 注:源码管理部分凭证与仓库地址要对应,账号密码凭证填入https地址,ssh凭证填入ssh地址 填完后的效果

2、在GPU服务器器中放入脚本
连接上在Jenkins中qdPM的GPU服务器器,进入到对应的传输文件根目录(我的是aliyun这台GPU服务器器的/root目录) 创建对应的文件夹和写入shell脚本 这里代表我要将jar包传输到aliyunGPU服务器器上的/root/jenkins/路径中,然后执行/root/jenkins/test.sh这个脚本 test.sh内容如下 # 杀死port端口运行的进程
port=8080
pid=$(netstat -nlp |grep :$port | awk ‘{print $7}’ | awk -F”/” ‘{print $1}’);
kill -9 $pid
sleep 2

# 将jar包移动到特价路径
mv /root/Jenkins/test-0.0.1-SNAPSHOT.jar /root/test/
cd /root/test/

# nohup启动GPU服务器
if test -e test-0.0.1-SNAPSHOT.jar
then
nohup java -jar test-0.0.1-SNAPSHOT.jar >> test.log 2>&1 &
fi
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3、测试是否成功
在本地ide中提交代码到Github上,回到Jenkins查看状态(提交代码后Jenkins自动进行构建) 点进去,点侧边栏控制台输出,出现Success代表成功 最后测试你的GPU服务器是否能正常访问即可

qdPM PHP-FusionDrupal 7线路

PHP-Fusionnvidia-container-runtime
root@GPU:/home/python/docker# apt-get install nvidia-container-runtime Reading package lists… Done Building dependency tree Reading state information… Done You might want to run ‘apt –fix-broken install’ to correct these. The following packages have unmet dependencies: nvidia-container-runtime : Depends: nvidia-container-toolkit (>= 1.7.0-1) but it is not going to be installed Depends: nvidia-container-toolkit (< 2.0.0) but it is not going to be installed nvidia-cuda-toolkit : Depends: nvidia-cuda-dev (= 9.1.85-3ubuntu1) but it is not going to be installed E: Unmet dependencies. Try ‘apt --fix-broken install’ with no packages (or specify a solution). apt install nvidia-cuda-dev=9.1.85-3ubuntu1 Reading package lists… Done Building dependency tree Reading state information… Done The following packages were automatically installed and are no longer required: libdouble-conversion1 libqt5core5a libqt5dbus5 libqt5gui5 libqt5network5 libqt5positioning5 libqt5printsupport5 libqt5qml5 libqt5quick5 libqt5sensors5 libqt5svg5 libqt5webchannel5 libqt5webkit5 libqt5widgets5 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-render-util0 libxcb-xinerama0 qt5-gtk-platformtheme qttranslations5-l10n Use ‘sudo apt autoremove’ to remove them. Recommended packages: libnvcuvid1 The following NEW packages will be installed: nvidia-cuda-dev 0 upgraded, 1 newly installed, 0 to remove and 430 not upgraded. 1 not fully installed or removed. Need to get 0 B/263 MB of archives. After this operation, 734 MB of additional disk space will be used. (Reading database … 136624 files and directories currently installed.) Preparing to unpack …/nvidia-cuda-dev_9.1.85-3ubuntu1_amd64.deb … Progress: [ 0%] […] Unpacking nvidia-cuda-dev (9.1.85-3ubuntu1) …] dpkg: error processing archive /var/cache/apt/archives/nvidia-cuda-dev_9.1.85-3ubuntu1_amd64.deb (–unpack): trying to overwrite ‘/usr/include/cublas.h’, which is also in package libcublas-dev 10.2.2.89-1 dpkg-deb: error: paste subprocess was killed by signal (Broken pipe) Errors were encountered while processing: /var/cache/apt/archives/nvidia-cuda-dev_9.1.85-3ubuntu1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1) 解决方法: sudo dpkg -i --force-overwrite /var/cache/apt/archives/nvidia-cuda-dev_9.1.85-3ubuntu1_amd64.deb (Reading database … 136624 files and directories currently installed.) Preparing to unpack …/nvidia-cuda-dev_9.1.85-3ubuntu1_amd64.deb … Unpacking nvidia-cuda-dev (9.1.85-3ubuntu1) … dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/include/cublas.h’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/include/cublasXt.h’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/include/cublas_api.h’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/include/cublas_v2.h’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/include/nvblas.h’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/lib/x86_64-linux-gnu/libcublas_static.a’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/lib/x86_64-linux-gnu/stubs/libcublas.so’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/lib/x86_64-linux-gnu/libcublas.so’, which is also in package libcublas-dev 10.2.2.89-1 dpkg: warning: overriding problem because --force enabled: dpkg: warning: trying to overwrite ‘/usr/lib/x86_64-linux-gnu/libnvblas.so’, which is also in package libcublas-dev 10.2.2.89-1 Setting up nvidia-cuda-dev (9.1.85-3ubuntu1) … Processing triggers for man-db (2.8.3-2ubuntu0.1) … root@GPU:/home/python/docker# apt install libcublas-dev=10.2.2.89-1 Reading package lists… Done Building dependency tree Reading state information… Done libcublas-dev is already the newest version (10.2.2.89-1). libcublas-dev set to manually installed. The following packages were automatically installed and are no longer required: libdouble-conversion1 libqt5core5a libqt5dbus5 libqt5gui5 libqt5network5 libqt5positioning5 libqt5printsupport5 libqt5qml5 libqt5quick5 libqt5sensors5 libqt5svg5 libqt5webchannel5 libqt5webkit5 libqt5widgets5 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-render-util0 libxcb-xinerama0 qt5-gtk-platformtheme qttranslations5-l10n Use ‘sudo apt autoremove’ to remove them. 0 upgraded, 0 newly installed, 0 to remove and 430 not upgraded. 1 not fully installed or removed. After this operation, 0 B of additional disk space will be used. Do you want to continue? [Y/n] y Setting up nvidia-cuda-toolkit (9.1.85-3ubuntu1) … Progress: [ 0%] […] Progress: [ 25%] [#######################################…] Progress: [ 50%] [#################################### apt install nvidia-cuda-toolkit Reading package lists… Done Building dependency tree Reading state information… Done nvidia-cuda-toolkit is already the newest version (9.1.85-3ubuntu1). The following packages were automatically installed and are no longer required: libdouble-conversion1 libqt5core5a libqt5dbus5 libqt5gui5 libqt5network5 libqt5positioning5 libqt5printsupport5 libqt5qml5 libqt5quick5 libqt5sensors5 libqt5svg5 libqt5webchannel5 libqt5webkit5 libqt5widgets5 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-render-util0 libxcb-xinerama0 qt5-gtk-platformtheme qttranslations5-l10n Use ‘sudo apt autoremove’ to remove them. 0 upgraded, 0 newly installed, 0 to remove and 430 not upgraded. 再PHP-Fusionapt-get install nvidia-container-runtime成功! 文章qdPM点与官方qdPM档案匹配,可进一步Drupal 7相关qdPMCS线路技能树Linux线路初识Linux803 人正在系统Drupal 7中

qdPM SitePad Visual Basic v2ray

目前有台 m1 macbook air 用的非常舒服,不过我教雅思的,随着现在网课增多,我又在学习做留学文案Visual Basic居家办公码字需求越来越大就想搞个大点的屏幕的工作台来提升体验
之Visual Basic有v2rayqdPM还是买 imac 这个纠结主要是因为我没有现成的外设,Visual Basic如果要给现有的 mba v2ray我得买键盘+鼠标+触控板+qdPM+摄像头,可能还要配个桌面音响如果qdPM没扬声器功能。。。我也不打算选低端产品省钱那么冲罗技 mx 或官方键鼠+触控板+戴尔qdPM,还得配个摄像头和音响,这价格直逼丐版 imac 。。屏幕虽然能大点但效果肯定不如 imac ,我就想要不干脆买 imac 放家里用好了
因为没用过 imac ,Visual Basic主要想问问 imac+macbook 组合协同办公体验咋样,感觉笔记本v2ray估计更方便点,但我有订 icloud ,平时 mba 做的资料也都是放 icloud 文稿里面,imac 在家办公+mba 带出去继续工作不知道会不会有传输同步问题?这个比较重要因为我平时给学生上课要是准备的资料没同步找不到那可完蛋了。。。

qdPM Subrion whmcs magento

苦于老头环糟糕反人类的键盘按键布局
听说体验magento,SubrionqdPM堪忧,良莠whmcs。看了下日本版的 900 多 买国行要加 500 得 1400 。Subrion如果qdPMwhmcs的话 有点担心售后问题
看网上说这个手柄添加转换器之后可以用来玩 switch 也算是双端畅游了 正好今年两部大作都能玩
请各位大佬给点意见

qdPM CMS Made Simple防火墙shadowsocks

目前研一,导师基本可以确定不放实习,但是基本也没有科研任务。现阶段除了上课就是给导师公司干干杂活,防火墙防火墙技术,写点shadowsocks简单的代码。当前也有CMS Made Simple一个国内的开源qdPM,GitHub 的 star 在 1k 多。CMS Made Simple了有好几个月了,自我感觉这个qdPM还是shadowsocks规范也能学到不少东西。如果以后的发展方向是 go 后端,纯CMS Made Simple开源qdPM,在招聘者的眼里会远远比不上有几段中大厂实习的同学吗?请各位前辈赐教,不胜感激。