calico-containers

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Published: Apr 26, 2019 License: Apache-2.0

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calicoctl

This repository is the home of calicoctl.

Note that the documentation in this repo is targeted at Calico contributors.

Documentation for Calico users is here:
http://docs.projectcalico.org

For information on calicoctl usage, see the calicoctl reference information

Developing

Print useful actions with make help.

Building calicoctl

There are two ways to build calicoctl: natively, and dockerized

Dockerized Builds

For simplicity, calicoctl can be built in a Docker container, eliminating the need for any dependencies in your host developer environment, using the following command:

make build

The binary will be put in ./dist/ and named calicoctl-<os>-<arch>, e.g.:

$ ls -1 ./dist/
calicoctl-linux-amd64
calicoctl-linux-arm64
calicoctl-linux-ppc64le
calicoctl-linux-s390x
calicoctl-darwin-amd64
calicoctl-windows-amd64.exe

To build for a different OS or ARCH, simply define it as a var to make, e.g.:

$ make build ARCH=arm64
$ make build OS=darwin ARCH=amd64

To list all possible targets, run make help.

Native Builds
  1. Assuming you have already installed go version 1.7.1+, ensure you've cloned this repository into your Go project path.

    git clone https://github.com/projectcalico/calicoctl.git $GOPATH/src/github.com/projectcalico/calicoctl
    
  2. Install Glide.

  3. Populate the vendor/ directory in the project's root with this project's dependencies:

    glide install -strip-vendor
    
  4. Build the binary:

    make build
    

Tests

Tests can be run in a container to ensure all build dependencies are met.

To run the tests

make test

Note: Tests depend on the test image calico/test, which is available only on amd64. The actual image used as set by the make variable TEST_CONTAINER_NAME. If you have a local build of that image or one for a different architecture, you can override it by setting the variable, e.g.:

$ make test TEST_CONTAINER_NAME=some/container:tag

Directories

Path Synopsis
resourcemgr
Package resourcemgr implements generic resource handling methods.
Package resourcemgr implements generic resource handling methods.

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