我有一个capistrano任务来整合Rails项目的多个阶段的部署。
例如:
$ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ b $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ # b staging deploy.migrations production deploy.migrations end这是从另一个帽子任务调用多级任务的正确方法?
构建任务创建一个新的git分支并发布。新分支的名称被保存为capistrano变量。分段和生产阶段任务然后使用此变量指定要部署的分支。
当此任务运行时,它将失败:
致命:工作树'/ Users /<我的工作目录>'已经存在。 /usr/local/lib/ruby/gems/1.8/gems/capistrano-2.5.19/lib/capistrano/recipes/deploy/strategy/copy.rb:99:in`initialize':没有这样的文件或目录 - / var / folders / 3d / 3dKYNUwQGOSLZFXsMF-uv ++++ TM / -Tmp- / 20100802182750 / REVISION(Errno :: ENOENT)我将本地机器的源代码作为git仓库和部署机器无法相互通信。
解决方案任务名称如
deploy:production:whatever在Cap中显示为
部署production.whatever您还有 top 命名空间去命名空间的顶部,因为这些路径是相对的。
所以,无论你目前的任务是什么命名空间,你总是可以像th
top.deploy.production.whatever
I have a capistrano task that consolidates the deployment of multiple stages of a Rails project.
For example:
task :consolidated_task do build #creates a new release branch from master, #sets a variable with the relese branch name staging deploy.migrations production deploy.migrations endIs this the proper way to call a multistage task from another cap task?
The build task creates a new git branch and published it. The name of the new branch gets saved as a capistrano variable. the staging and production stage tasks then use this variable to specify what branch to deploy from.
When this task runs, it fails with:
fatal: working tree '/Users/<my working directory>' already exists. /usr/local/lib/ruby/gems/1.8/gems/capistrano-2.5.19/lib/capistrano/recipes/deploy/strategy/copy.rb:99:in `initialize': No such file or directory - /var/folders/3d/3dKYNUwQGOSLZFXsMF-uv++++TM/-Tmp-/20100802182750/REVISION (Errno::ENOENT)I'm pushing the source from my local machine as the git repository and the deployment machine cannot communicate with each other.
解决方案Task names like
deploy:production:whateverare exposed within Cap as
deploy.production.whateverYou also have top namespaces to go to the top of the namespaces, because the paths are relative.
So, no matter in which namespace your task currently is you can always do thigs like:
top.deploy.production.whatever
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