This collection of scripts for AppVeyor CI can be used with the following appveyor.yml
file:
platform:
- x86
- x64
environment:
matrix:
# Add here environement variables to control the AppVeyor CI build
install:
- git clone https://github.com/StatisKit/appveyor-ci.git appveyor-ci
- cd appveyor-ci
- call install.bat
before_build:
- call before_build.bat
build_script:
- call build_script.bat
after_build:
- call after_build.bat
deploy:
provider: Script
on:
branch: master
before_deploy:
- call before_deploy.bat
deploy_script:
- call deploy_script.bat
after_deploy:
- call after_deploy.bat
on_success:
- call on_success.bat
on_failure:
- call on_failure.bat
on_finish:
- call on_finish.bat
In the matrix
section of the environment
section, you can use the following environement variables to control the Appveyor CI build:
CONDA_VERSION
equal to2
(default) or3
. Control the Conda version used for the build.
If you want to:
- Build a Conda recipe, you should define these environment variables:
CONDA_RECIPE
. The path to the Conda recipe to build. This path must be relative to the repository root.ANACONDA_LOGIN
(optional). The usename used to connect to the Anaconda Cloud in order to upload the Conda recipe built.ANACONDA_PASSWORD
(optional). The usename's password used to connect to the Anaconda Cloud in order to upload the Conda recipe built.ANACONDA_OWNER
(optional). The channel used to upload the Conda recipe built. If not given, it is set to theANACONDA_LOGIN
value.ANACONDA_DEPLOY
(optional). Deployment into the Anaconda Cloud. If set toTrue
(default ifANACONDA_LOGIN
is provided), the Conda recipe built will be deployed in the Anaconda Cloud. If set toFalse
(default ifANACONDA_LOGIN
is not provided), the Conda recipe built will not be deployed in the Anaconda Cloud.ANACONDA_LABEL
equal tomain
by default. Label to associate to the Conda recipe deployed in the Anaconda Cloud.
- Run a Jupyter notebook, you should define these environment variables:
JUPYTER_NOTEBOOK
. The path to the Jupyter notbook to run. This path must be relative to the repository root.CONDA_ENVIRONMENT
. The path to the Conda environment to use when runnning the Jupyter notebook.
Note
It is recommanded to define the environment variables ANACONDA_LOGIN
(resp. DOCKER_LOGIN
), ANACONDA_PASSWORD
(resp. DOCKER_PASSWORD
) and ANACONDA_OWNER
(resp. DOCKER_OWNER
) in the Settings
pannel of Travis CI instead of in the appveyor.yml
.