Skip to main content

Scripts for system identification in CSLE

Project description

csle-system-identification

A library with system identification algorithms for learning system models in CSLE based on traces and data collected from emulated infrastructures.

PyPI version PyPI - Downloads

Requirements

  • Python 3.8+
  • csle-base
  • csle-common
  • csle-collector
  • csle-attacker
  • csle-defender
  • csle-cluster
  • gpytorch (For system identification algorithms based on Gaussian processes)
  • pymc (For Markov-Chain Monte Carlo and Bayesian modeling)
  • pytensor (For numerical computations)
  • scikit-learn (For statistical computations)

Development Requirements

  • Python 3.8+
  • flake8 (for linting)
  • flake8-rst-docstrings (for linting docstrings)
  • tox (for automated testing)
  • pytest (for unit tests)
  • pytest-cov (for unit test coverage)
  • mypy (for static typing)
  • mypy-extensions (for static typing)
  • mypy-protobuf (for static typing)
  • types-PyYaml (for static typing)
  • types-paramiko (for static typing)
  • types-protobuf (for static typing)
  • types-requests (for static typing)
  • types-urllib3 (for static typing)
  • sphinx (for API documentation)
  • sphinxcontrib-napoleon (for API documentation)
  • sphinx-rtd-theme (for API documentation)
  • pytest-mock (for mocking tests)
  • pytest-grpc (for grpc tests)

Installation

# install from pip
pip install csle-system-identification==<version>
# local install from source
$ pip install -e csle-system-identification
# or (equivalently):
make install
# force upgrade deps
$ pip install -e csle-system-identification --upgrade
# git clone and install from source
git clone https://github.com/Kim-Hammar/csle
cd csle/simulation-system/libs/csle-system-identification
pip3 install -e .
# Install development dependencies
$ pip install -r requirements_dev.txt

Development tools

Install all development tools at once:

make install_dev

or

pip install -r requirements_dev.txt

API documentation

This section contains instructions for generating API documentation using sphinx.

Latest Documentation

The latest documentation is available at https://kim-hammar.github.io/csle//docs/csle-system-identification

Generate API Documentation

First make sure that the CSLE_HOME environment variable is set:

echo $CSLE_HOME

Then generate the documentation with the commands:

cd docs
sphinx-apidoc -f -o source/ ../src/csle_system_identification/
make html

To update the official documentation at https://kim-hammar.github.io/csle/, copy the generated HTML files to the documentation folder:

cp -r build/html ../../../../docs/_docs/csle-system-identification

To run all documentation commands at once, use the command:

make docs

Static code analysis

To run the Python linter, execute the following command:

flake8 .
# or (equivalently):
make lint

To run the mypy type checker, execute the following command:

mypy .
# or (equivalently):
make types

Unit tests

To run the unit tests, execute the following command:

pytest
# or (equivalently):
make unit_tests

To run tests of a specific test suite, execute the following command:

pytest -k "ClassName"

To generate a coverage report, execute the following command:

pytest --cov=csle_system_identification

Run tests and code analysis in different python environments

To run tests and code analysis in different python environemnts, execute the following command:

tox
# or (equivalently):
make tests

Create a new release and publish to PyPi

First build the package by executing:

python3 -m build
# or (equivalently)
make build

After running the command above, the built package is available at ./dist.

Push the built package to PyPi by running:

python3 -m twine upload dist/*
# or (equivalently)
make push

To run all commands for the release at once, execute:

make release

Author & Maintainer

Kim Hammar kimham@kth.se

Copyright and license

LICENSE

Creative Commons

(C) 2020-2025, Kim Hammar

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

csle_system_identification-0.9.38.tar.gz (31.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

csle_system_identification-0.9.38-py3-none-any.whl (28.8 kB view details)

Uploaded Python 3

File details

Details for the file csle_system_identification-0.9.38.tar.gz.

File metadata

File hashes

Hashes for csle_system_identification-0.9.38.tar.gz
Algorithm Hash digest
SHA256 a3ccbbd3f0c638e7d1b683f9314a392e0653dd8a0a5a1d460d1bfc588bbd1fa0
MD5 1595666f181657a87e2f95196f9e334e
BLAKE2b-256 d131474a5cd445e1b69665c5f748c0e7327e9e4bb40a2878ad22a5adf95953fc

See more details on using hashes here.

File details

Details for the file csle_system_identification-0.9.38-py3-none-any.whl.

File metadata

File hashes

Hashes for csle_system_identification-0.9.38-py3-none-any.whl
Algorithm Hash digest
SHA256 dff58b53f5698dfa1eda7d9332898b369208ca63f0e200da70fdce10e83ec78d
MD5 4e04ba4ecb942c92a9b59aee302991ca
BLAKE2b-256 e805068a19e940439ed1d82f2cbf2b9d7c86e809dfb3e9e955d4caa846c8056a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page