Installing from sources
Prerequisites
Ensure a JDK 8 is installed on your machine
$ java -version
java version "1.8.0_121"
Java(TM) SE Runtime Environment (build 1.8.0_121-b13)
Java HotSpot(TM) 64-Bit Server VM (build 25.121-b13, mixed mode)
$ javac -version
javac 1.8.0_121
Ensure an sbt launcher is installed
$ sbt -help
Usage: sbt [options]
[…]
If it's not, sbt-extras or the default installer from the sbt website should do.
Check-out the sources with
$ git clone https://github.com/almond-sh/almond.git
$ cd almond
Setup
From the almond sources, run
$ sbt jupyterStart shell
jupyterStart
generates a sbt-pack distribution of the kernel under modules/scala-kernel/target/pack
(like sbt scala-kernel/pack
would do), it also generates a kernel.json
to run almond from that distribution, then runs jupyter lab
with the JUPYTER_PATH
environment variable pointing to that kernel.json
. In the launched jupyter lab
, the kernel with id scala
and name Scala (sources)
corresponds to the almond sources.
This jupyter server is automatically killed when sbt exits, or can be manually stopped by typing jupyterStop
at the sbt prompt.
Automatically re-generate the kernel when sources change by typing
> ~scala-kernel/pack
at the sbt prompt. Re-starting the kernel in the jupyter UI should then pick the newly generated one.
You can adjust the Jupyter command by changing it in build.sbt
(look for jupyterCommand
).
Note that that approach does not benefit from the ClassLoader isolation features that the coursier bootstrap-based approach allows for. All the almond dependencies are also seen from the user session.
Alternative launcher-based setup
This setup generates a launcher very similar to the one that can be generated from the coursier bootstrap
command of the installation instructions. This launcher benefits from the ClassLoader isolation that coursier bootstraps allow, effectively isolating the kernel-specific dependencies from the user facing ones. (To be more specific, this isolates the dependencies of the scala-kernel
module, that aren't dependencies of the scala-kernel-api
module - currently, this includes scalameta dependencies in particular.)
Compiling
Compile and publish the kernel locally with
$ sbt publishLocal
This installs the kernel artifacts under your ~/.ivy2/local
local repository. The kernel artifacts should land under ~/.ivy2/local/sh.almond/
in particular. In the output of sbt publishLocal
, note the snapshot version the kernel is installed with. At the time of writing this, this version is 0.1.11-SNAPSHOT
.
Installing
Create a launcher with
$ SCALA_VERSION=2.12.7 ALMOND_VERSION=0.1.11-SNAPSHOT
$ coursier bootstrap \
almond:$ALMOND_VERSION \
--scala $SCALA_VERSION \
--sources --default=true \
-o almond-snapshot --embed-files=false
Compared to the default installation instructions, --embed-files=false
is added as an option. This makes the generated launcher directly rely on files under ~/.ivy2/local
, rather than copying those in the launcher. If the files under ~/.ivy2/local
are updated (e.g. with a new sbt publishLocal
), just restarting the kernel is enough for these to be picked, which is useful for fast iterations during development.
Then install the kernel with
$ ./almond-snapshot --install \
--id scala-snapshot \
--display-name "Scala (snapshot)"
Optionally, change the log level with e.g. --log debug
. If you'd like these logs to go to a distinct file rather than in the console, pass e.g. --log-to "/path/to/log-file.txt"
.
Development cycle
Once the kernel is installed this way, one can update its artifacts with sbt publishLocal
. These are taken into account by restarting the kernel.
Re-generating an installer, and installing it, is only necessary if the dependencies of the kernel are changed / updated, or if the kernel version changes. It is safer to re-generate an installer and install it after a git pull
in particular.
sbt crash course
Running sbt
with no options starts an sbt shell
$ sbt
[…]
>
At the sbt prompt, type
compile
to compile the main sources,test:compile
to compile both the main and test sources,test
to run all the tests,publishLocal
to publish the projects locally (these land under~/.ivy2/local
).
All these commands can be prefixed with a project id, like kernel/test
or interpreter/publishLocal
. List the available projects with projects
.
Note that sbt knows about the dependencies between commands, so that you can directly run test
. This triggers a compilation of the main and test sources if needed. Sources are automatically compiled incrementally.
~
can be added as prefix to watch sources, like ~test:compile
or ~kernel/publishLocal
.
To run one or several commands from your shell rather than the sbt prompt, pass those to sbt
, like
$ sbt "~test:compile"
$ sbt interpreter/test "~publishLocal"
Note that the sbt start up time is incurred each time you type sbt
in your shell. Running it once, like $ sbt
, then entering commands at the sbt prompt allows to avoid this.
Select a specific scala version, for example 2.12.9
, with ++2.12.9
. Example of use
$ sbt ++2.12.9 "~test:compile"
$ sbt
> ++2.12.9
> interpreter/test
List the available scala versions with the show crossScalaVersions
command, like
$ sbt "show crossScalaVersions"
$ sbt
> show crossScalaVersions
Note that show crossScalaVersions
is quoted when passed to sbt from the shell, so that sbt interprets it as a single command.