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cihpc-0.2.0
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مشاهده بیشترتوضیحات
Python performance monitoring tool using HPC
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cihpc-0.2.0 |
| نام | cihpc |
| نسخه کتابخانه | 0.2.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | jan-hybs |
| ایمیل نویسنده | jan.hybs@tul.cz |
| آدرس صفحه اصلی | https://github.com/janhybs/ci-hpc |
| آدرس اینترنتی | https://pypi.org/project/cihpc/ |
| مجوز | MIT License |
# CI & HPC · [](https://travis-ci.org/janhybs/ci-hpc) [](https://ci-hpc.readthedocs.io/en/dev) [](https://readthedocs.org/projects/ci-hpc/downloads/pdf/dev/) [](https://pypi.org/project/cihpc/) [](https://github.com/janhybs/ci-hpc/blob/master/LICENSE) [](https://coveralls.io/github/janhybs/ci-hpc)
A *simple* framework which can monitor the performance and scalability of software packages.
The framework presented here combines *Continuous Integation* & *High Performance Computing*
together with a minimalistic set of Python scripts.
The results can be visualised in form of static Jupyter notebook or in an interactive web page.
## Features
- automatically run benchmarks of your project
- inspect performance and scalability of your project
- create complex configurations with travis-like syntax build matrix capabilities (`YAML` format)
## How to use ci-hpc?
1) First install the framework by executing:
```sh
pip3 install --user ci-hpc
```
1) Create a configuration (file `config.yaml`) for your repository.
In this cofiguration, you should specify several options.
- `ci-hpc` needs to know, which repositories are part of your project.
You can specify one or more repositories. Each repository will be
cloned and checked out when installing.
- You also need to tell the `ci-hpc` how to install your project.
It can be as simple as
`./configure; make; make install`
or `pip install ./foo/`
But it can be also quite complex, you can even simplify
entire process with usage of install file:
with something like this`!sh install.sh`
(`install.sh` in this case is a shell script, which contains
your installation process)
- Next thing is testing section. Here, `ci-hpc` needs to know,
what benchmarks you want to run under what configuration.
You can create complex build matrices so your configuration
can be kept simple and transparent.
2) When you are done with the configuration. You should probably verify,
it is working. Assuming the following structure:
```
.
└── hello-world
└── config.yaml
```
Execute `ci-hpc` with
```
cihpc --project hello-world
```
3) If everything works, setup a mongoDB server and add collection
section (once again file `config.yaml`):
- `ci-hpc` needs to know, what results you want to store.
Is it a some `json` profiler or `yaml` results?
or are the timings save in a `xml` format? In the `ci-hpc` there
is some general support for the `json` and `yaml`
formats, but you can write your own `artifact` module and simply
put it in the correct folder.
- The most of the heavy lifting is already done in a parent class
so adding a new collection module should be relatively easy.
4) Now to display the results, setup a visualization server.
## What's new?
- now supporting multiple repositories within single project
- speed up testing process by using multiple cores on a computing node
- easily run ci-hpc on a previous commits by using `commit-browser` module
- automatically determine which tests to run based on the previous results
- webhook support, automatically start `ci-chp` upon new commit
## What's to come?
- run extra tests when suspecting significant performance change
- create web visualisation configuration from analyzing records in database
نحوه نصب
نصب پکیج whl cihpc-0.2.0:
pip install cihpc-0.2.0.whl
نصب پکیج tar.gz cihpc-0.2.0:
pip install cihpc-0.2.0.tar.gz