首页 \ 问答 \ 多个开发人员如何使用相同的vcproj文件?(How can multiple developers use the same vcproj files?)

多个开发人员如何使用相同的vcproj文件?(How can multiple developers use the same vcproj files?)

我正在与另外两个基于FireBreath的开发人员合作开发一个项目。 到目前为止,我已经能够在我的机器上完美地工作,但我们需要通过Mercurial协调我们的开发。 所以我将文件推送到存储库,并认为一切都很顺利。

不幸的是,这不起作用。

组成解决方案的各种.vcproj文件都包含对本地文件系统的硬编码引用。 这对我来说很好,因为我没有移动项目。 但是,当您尝试在具有不同文件结构(不同的驱动器号,不同的文件夹位置等)的另一台计算机上构建解决方案时,一切都会中断。

我使用FireBreath的标准项目生成脚本(Python),然后使用Visual Studio CMake脚本(prep2008.cmd)生成解决方案文件。 我可以做些什么来调整内容以便其他开发人员可以使用相同的代码库?


I'm working on a project with two other developers that's built on FireBreath. So far, I've been able to get things working perfectly on my machine, but we need to coordinate our development via Mercurial. So I pushed my files to the repository and thought all was well.

Unfortunately, that doesn't work.

The various .vcproj files that make up the solution all contain hard-coded references to my local file system. This works fine for me, because I'm not moving the project around. But when you try to build the solution on another machine with a different file structure (different drive letter, different folder location, etc.) everything breaks.

I used FireBreath's standard project generation script (Python) and then the Visual Studio CMake script (prep2008.cmd) to generate the solution files. What can I do to tweak things so that other developers can use the same code base?


原文:https://stackoverflow.com/questions/4229718
更新时间:2021-12-25 21:12

最满意答案

这只意味着docker-compose正在重新启动先前停止的容器(或重新连接到它,如果它已经在运行),并且因为没有必要重新构建映像:

apkmirrorscrapercompose_db_1 is up-to-date

因此,您在日志中“再次”看到的是该容器的docker logs ,其中包含postgres的所有生命生成日志。

只需删除容器并重新启动(db数据将保留在卷中,因此它将继续存在):

docker-compose rm db

This just means that docker-compose is re-starting your previously stopped container (or re-attaching to it, if it is already running), and because of there is no need to re-build the image:

apkmirrorscrapercompose_db_1 is up-to-date

So, what your are seeing "again" in the logs is the docker logs of that container which includes all the life-generated logs of postgres.

Simply remove the container and start again (the db data is persisted in the volume, so it will survive):

docker-compose rm db

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