Create interactive screencasts inside Jupyter Notebook that anybody can play back.
Project description
General instructions for building for pip distribution
After changing setup.py
or any part of the Graffiti codebase, increase the version number in setup.py appropriately, around line 37.
Then run the commands shown below to upgrade what's stored in pip
python3 setup.py prep_to_build npm_run_build sdist bdist_wheel
Uploading to the pypi test servers:
python3 -m twine upload --repository-url https://test.pypi.org/legacy/ dist/* --verbose
(For User name you can use willkessler
.)
Installing to a host in the cloud, from the test servers:
python3 -m pip install --index-url https://test.pypi.org/simple/ jupytergraffiti
Testing new installation on cloud host:
jupyter notebook —port=3001 —ip=127.0.0.1 —allow-root
Uploading to the pypi production servers:
python3 -m twine upload dist/*
(For User name you can use willkessler
.)
General instructions for building for conda distribution
NB: this relies on jupytergraffiti being in the main (production) pypi repository. First time steps:
mkdir conda
cd conda
rm -rf jupytergraffiti
conda skeleton pypi jupytergraffiti
conda install conda-verify
Modify jupytergraffiti/meta.yaml
to include build noarch: python
.
Modify jupytergraffiti/meta.json
to include github handle: willkessler
(Re)building on macosx:
(After you make updates, make sure to bump the version number in jupytergraffiti/meta.yml
.
conda build jupytergraffiti
export GRAFFITI_VERSION=1.0.1.10
anaconda upload /Users/will/anaconda/conda-bld/noarch/jupytergraffiti-$GRAFFITI_VERSION-py_0.tar.bz2
Then you want to convert to other architectures and upload these as well:
conda convert --platform all ~/anaconda/conda-bld/osx-64/jupytergraffiti-<version>-py36_0.tar.bz2 -o linux64_out
anaconda upload linux64_out/linux-64/jupytergraffiti-<version>-py36_0.tar.bz2
... etc for all the architectures you want to support. This last step doesn't seem to be necessary any more (01/23/2020).
To install you should be able to do :
conda install -c willkessler jupytergraffiti
Building for Windows and building for pip on Windows
To debug issues on Windows, you need to have cygwin64 and node installed on the system. Then you need to use jupytergraffiti/package.json_windows
instead of jupytergraffiti/package.json
. This version of package.json
has a different build step using utilities provided by Cygwin:
...
"scripts": {
"build": "/cygwin64/bin/rm.exe -rf graffiti-dist build ../build_for_pip/code-prep && node node_modules/gulp/bin/gulp.js prebuild && cd node_modules/.bin && r_js.cmd -o ../../build.js && cd ../.. && node ./node_modules/gulp/bin/gulp.js moveStyles && cd node_modules/.bin && r_js.cmd -o ../../../build_for_pip/buildPip.js && cd ../.. && node ./node_modules/gulp/bin/gulp.js pipMoveStyles"
},
...
You can follow the steps above to build for pip. For creating the pip artifact, from this directory do:
python3 setup.py prep_to_build npm_run_build sdist bdist_wheel
but then you can install from this build, without uploading to pypi servers, by simply :
- unpacking the tarball found in the dist directory
- switching to the unpack directory
- finally:
pip install .
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