远程部署python程序

摘要：接着上一篇管理程序的本篇介绍远程部署到指定环境使用的技术是环境准备使用下面的命名获得模版，里面有准备好的各个以及基本包。将上面的的，和定制成你需要的参数就好。在上述命令运行成功之后，登录到上下目录结构，如下所示将部署到之后，到环境。

接着上一篇管理python程序的db schema, 本篇介绍远程部署到指定环境(prod or staging).
使用的技术是Capistrano.

使用下面的命名获得模版，里面有准备好的各个config以及基本bin包。

git clone https://github.com/flying-bird/python-db-schema

cd python-db-schema
bundle install

default config in python-db-schema/config/deploy/production.rb：

➜  python-db-schema git:(master) less config/deploy/production.rb
# Simple Role Syntax
# ==================
# Supports bulk-adding hosts to roles, the primary server in each group
# is considered to be the first unless any hosts have the primary
# property set.  Don"t declare `role :all`, it"s a meta role.

role :app, %w{your_name@prod_env_ip_or_host}
role :web, %w{your_name@prod_env_ip_or_host}
role :db,  %w{your_name@prod_env_ip_or_host}

将上面的config的your_name和prod_env_ip_or_host定制成你需要的参数就好。

➜  python-db-schema git:(master) less config/deploy.rb
set :application, "python-db-schema"
set :repo_url, "https://github.com/flying-bird/python-db-schema"

set :branch, "master"
set :user, "your_account"
set :deploy_via, :copy
set :linked_dirs, %w{log}
set :deploy_to, "/tmp/your_deploy_path"

将上面的config的your_account，your_deploy_path和repo_url定制成你需要的参数就好。

你可以在本地使用下面的command，将code部署到production环境。

cap production deploy

在上述命令运行成功之后，登录到prouction env上check下目录结构，如下所示：

your_account@production_host: ls /tmp/python-db-schema
current  git-ssh.sh  releases  repo  revisions.log  shared

your_account@production_host: ls /tmp/python-db-schema/current
Gemfile  Gemfile.lock  README.md  REVISION  Rakefile  bin  config  log src

将code部署到production之后，apply db schema到production环境。

只要将username/password/database改成特定值就好，笔者的配置如下：

staging:
  adapter: mysql2
  encoding: utf8
  pool: 20
  username: mysql
  password: 123456
  socket: /var/lib/mysql/mysql.sock
  host: 192.168.10.111
  port: 3306
  database: dashboard_test

production:
  adapter: mysql2
  encoding: utf8
  pool: 20
  username: mysql
  password: 123456
  socket: /var/lib/mysql/mysql.sock
  host: 192.168.10.222
  port: 3306
  database: dashboard_production

rake db:migrate RAILS_ENV=production

输出结果如下：

== 20170405024951 CreatePipelineTable: migrating ==============================
-- create_table(:d_pipeline)
   -> 0.0355s
== 20170405024951 CreatePipelineTable: migrated (0.0356s) =====================