Jolt is a task execution tool designed for software development tasks. It can build your C/C++ applications and React frontends, run tests, deploy your web services, and much more.
Tasks are defined in Python scripts. They may be executed locally by developers or by automation software such as Jenkins in a continuous integration pipeline. In both cases, tasks may be distributed and executed in parallel in a server cluster. The output of each task is cached to reduce overall execution times on repeat attempts. In one real world deployment, Jolt shortend the CI build duration from 10 hours to 10 minutes on average.
Example C++ application task:
class CppApp(CXXExecutable):
""" Builds a C++ application """
arch = Parameter(values=["arm", "x64"])
requires = [
"git:url=https://github.com/org/cppapp.git",
"gcc:arch={arch},version=9.1.1",
]
sources = ["cppapp/include/*.hpp", "cppapp/src/*.cpp"]$ jolt build cppapp:arch=x64Example Node.js tasks:
class NodeJS(Download):
""" Downloads and publishes Node.js. Adds binaries to PATH. """
version = Parameter("14.16.1")
url = "https://nodejs.org/dist/v{version}/node-v{version}-win-x64.zip"
def publish(self, artifact, tools):
super(publish).publish(artifact, tools)
artifact.environ.PATH.append("node-v{version}-win-x64")
class WebApp(Task):
""" Builds a really cool WebApp """
requires = [
"git:url=https://github.com/org/webapp.git",
"nodejs"
]
def run(self, deps, tools):
with tools.cwd("webapp"):
tools.run("npm ci")
tools.run("npm build")$ jolt build webappA common command line interface for all tasks enables developers from different disciplines to quickly run each others tasks without in-depth knowledge of the underlying technology - a C++ developer doesn’t have to learn NPM and a React developer doesn’t have to know anything about CMake, Make, MSBuild, etc. Required tools and dependencies are also provisioned automatically.
For full documentation, please visit http://jolt.readthedocs.io/
Installing
Jolt is available in the Python Package Index:
$ pip install jolt
$ joltAnd as a Docker image:
$ docker run robrt/joltA thin Python wrapper is available for the Docker images. By using it, multiple versions of Jolt can coexist on the host since the version used is selected during runtime rather than install time. To use a specific version in a project, add a version attribute in the Jolt manifest. By always using a specific version cache hits become more likely.
$ pip install jolt_docker
$ jolt1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file jolt_docker-0.10.39.tar.gz.
File metadata
- Download URL: jolt_docker-0.10.39.tar.gz
- Upload date:
- Size: 5.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.12.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9180c96c66c8d835251bfddca712c569f267501eddbfd404633c9c26614f7b6e
|
|
| MD5 |
460aad7a8e08f6451ae5ee400edcdc6f
|
|
| BLAKE2b-256 |
ea2c822cfd012c6d0b2eaaa65aeaf18a6f3d4be5b14238c965239ac476b4c2e2
|
File details
Details for the file jolt_docker-0.10.39-py3-none-any.whl.
File metadata
- Download URL: jolt_docker-0.10.39-py3-none-any.whl
- Upload date:
- Size: 5.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.12.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b6e55faecde735842c63b200658bb66d559d652b5adb890633ecf5031b4a3680
|
|
| MD5 |
f6a41fb8433ad9e445099563fa10e77c
|
|
| BLAKE2b-256 |
c5404906aca280105aa771bf9be637c2ccf1abb2f4a1c74a6970134d5ba5d7bd
|
