mirror of https://github.com/docker/compose.git
Merge pull request #509 from bfirsh/smarter-binary-urls
Use uname to generate binary download URL
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commit
d91c458d52
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@ -86,7 +86,7 @@ The easiest way to do this is to use the `--signoff` flag when committing. E.g.:
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3. Build Linux version on any Docker host with `script/build-linux` and attach to release
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4. Build OS X version on Mountain Lion with `script/build-osx` and attach to release
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4. Build OS X version on Mountain Lion with `script/build-osx` and attach to release as `fig-Darwin-x86_64` and `fig-Linux-x86_64`.
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5. Publish GitHub release, creating tag
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@ -14,15 +14,11 @@ First, install Docker version 1.0 or greater. If you're on OS X, you can use [do
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Docker has guides for [Ubuntu](http://docs.docker.io/en/latest/installation/ubuntulinux/) and [other platforms](http://docs.docker.io/en/latest/installation/) in their documentation.
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Next, install Fig. On OS X:
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Next, install Fig:
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curl -L https://github.com/docker/fig/releases/download/0.5.2/darwin > /usr/local/bin/fig; chmod +x /usr/local/bin/fig
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curl -L https://github.com/docker/fig/releases/download/0.5.2/fig-`uname -s`-`uname -m` > /usr/local/bin/fig; chmod +x /usr/local/bin/fig
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On 64-bit Linux:
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curl -L https://github.com/docker/fig/releases/download/0.5.2/linux > /usr/local/bin/fig; chmod +x /usr/local/bin/fig
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Fig is also available as a Python package if you're on another platform (or if you prefer that sort of thing):
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Releases are available for OS X and 64-bit Linux. Fig is also available as a Python package if you're on another platform (or if you prefer that sort of thing):
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$ sudo pip install -U fig
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@ -4,4 +4,5 @@ mkdir -p `pwd`/dist
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chmod 777 `pwd`/dist
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docker build -t fig .
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docker run -u user -v `pwd`/dist:/code/dist fig pyinstaller -F bin/fig
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docker run -u user -v `pwd`/dist:/code/dist fig dist/fig --version
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mv dist/fig dist/fig-Linux-x86_64
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docker run -u user -v `pwd`/dist:/code/dist fig dist/fig-Linux-x86_64 --version
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@ -6,4 +6,5 @@ venv/bin/pip install -r requirements.txt
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venv/bin/pip install -r requirements-dev.txt
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venv/bin/pip install .
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venv/bin/pyinstaller -F bin/fig
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dist/fig --version
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mv dist/fig dist/fig-Darwin-x86_64
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dist/fig-Darwin-x86_64 --version
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