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本文小編為大家詳細(xì)介紹“怎么運(yùn)用docker配置python開發(fā)環(huán)境”,內(nèi)容詳細(xì),步驟清晰,細(xì)節(jié)處理妥當(dāng),希望這篇“怎么運(yùn)用docker配置python開發(fā)環(huán)境”文章能幫助大家解決疑惑,下面跟著小編的思路慢慢深入,一起來(lái)學(xué)習(xí)新知識(shí)吧。
步驟:
1.安裝docker(這里不詳細(xì)介紹)
# 參考命令 sudo wget -qo- https://get.docker.com/ | sh
2.應(yīng)用目錄結(jié)構(gòu)
├──fanxiangce _docker ├── dockerfile ├── readme.md └─fanxiangce └──app ├── manage.py └── requirements ├── common.txt
3.編寫dockerfile(詳細(xì)命令解釋可以參考)
########################################################## # dockerfile to run a flask-based web application# based on an centos:7 image ########################################################## # set the base image to use to centos from centos:7 # set the file maintainer maintainer jasonwang,wjs7740@163.com # set env varibles used in this dockerfile (add a unique prefix, such as dockyard) # local directory with project source env dockyard_src=fanxiangce # directory in container for all project files env dockyard_srchome=/opt # directory in container for project source files env dockyard_srcproj=/opt/fanxiangce # update the defualt application repository source list run yum -y install epel-release run yum -y install python-pip run yum clean all # copy application source code to srcdir copy $dockyard_src $dockyard_srcproj # create application subdirectories workdir $dockyard_srcproj run mkdir log volume ['$dockyard_srcproj/log/'] # install python dependencies run pip install --upgrade pip run pip install -r $dockyard_srcproj/requirements/common.txt # port to expose expose 8000 # copy entrypoint script into the image workdir $dockyard_srcproj
4. build鏡像
# 在dockerfile同級(jí)目錄下 sudo docker build -t jason/webdemo .
成功后顯示successfully,同時(shí)返回鏡像id,如圖:
5.查看并啟動(dòng)鏡像
注意,此處-p映射的端口(主機(jī)端口:容器端口),容器端口應(yīng)與flask應(yīng)用定義的端口一致
sudo docker images sudo docker run -it --name webdemo -p 8000:8000 jason/webdemo /bin/bash
6.在容器中啟動(dòng)flask應(yīng)用
python manage.py runserver -p 8000
啟動(dòng)成功如下截圖:
7.在瀏覽器輸入127.0.0.1:8000即可訪問(wèn)應(yīng)用
8.后續(xù)
如果容器關(guān)閉后需要再次進(jìn)入,可以用如下命令
# 查看當(dāng)前容器 sudo docker ps -a # 啟動(dòng)容器 docker start webdemo # 進(jìn)入容器 docker attach webdemo
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