fa-models 1.0.48

The library describes the most common models used in trading systems. It is based on sqlmodel and offers many built-in features like serialization and data generators.

fa-models

A set of models often used for trading services. The library offers merely models, tests and data and schema generators. The Schemas Generator offers to translate the models to Avro Schemas written in JSON.

Sponsors

Freya Alpha The Kára System Spark & Hale Robotic Industries

TODO

• Create Default values for enum, array, set, map, etc.

General

Run and compiled for Python 3.9.13. Expected to run for Python 3+

Development

Testing

run tests with pytest -s -vv to see all the details.

Installation as Consuming Developer

Simply run: pip install fa-models

Import in modules without the dash (e.g.): from famodels.signal import Signal

Setup as Contributor

Create the virtul environment:

py -m venv .venv

Start the Environment:

./.venv/Scripts/activate

(or allow VS Code to start it). Use deactivateto stop it.

All the required libraries must be listed in requirements.txt and installed by

python -m pip install -r .\requirements.txt

For Dev use

python -m pip install -r .\requirements-dev.txt

To cleanup the environment run:

pip3 freeze > to-uninstall.txt

and then

pip3 uninstall -y -r to-uninstall.txt

or

pip3 install pip-autoremove

Build Library

Prerequisite: make sure that you give your Operating System user the right to modify files in the python directory. The directory where pyhton is installed. Use python setup.py bdist_wheel to create the dist, build and .eggs folder.

Reference from a different project

In order to use your own version of the project - to maybe contribute to the library - simply clone the code from github into new directory. Then add the path of that new directory to the requirements.txt file of your project. Then change in fa-models whatever you recommend to improve. Don't forget the Open-Closed Principle: extend only (unless it requires a breaking change)

Releasing a new version

Delete any old files in the /dist and build folder of your local environment. Update your pip:

python -m pip install --upgrade pip

Install the tools build, twine and bumpver:

python -m pip install build twine bumpver

Upgrade the setuptools:

pip install --upgrade setuptools

Bump the version in pyproject.toml:

bumpver update --patch

This will commit a new version to GitHub.

Build the project:

python -m build

Check the distribution:

twine check dist/*

Upload to test-pypi to validate:

twine upload -r testpypi dist/*

Login with username: svabra (password should be known)

If the test-upload was successful, finally, upload to pypi production:

twine upload dist/*

Done.

(P.S. Do not forget to update the library in your projects: pip install --upgrade fa-models)bumpver update --patch