TRAC Model Runtime for Python
TRAC D.A.P. is a next-generation data and analytics platform for use in highly regulated environments
The TRAC model runtime provides all the APIs needed to write models for the TRAC platform. It includes an implementation of the runtime library that can be used as a development sandbox, so you can run and debug TRAC models right away from your favourite IDE or notebook. A number of tools are included to make it easy to plug in development data and configuration. When your models are ready they can be loaded into a real instance of TRAC for testing and eventual deployment.
Documentation for the TRAC platform is available on our website at tracdap.finos.org.
Requirements
The TRAC runtime for Python has these requirements:
- Python: 3.8 up to 3.12
- Pandas: 1.2 up to 2.2
- PySpark 3.0 up to 3.5 (optional)
3rd party libraries may impose additional constraints on supported versions of Python, Pandas or PySpark. As of February 2024, the Python libraries for GCP do not yet support Python 3.12.
Installing the runtime
The TRAC runtime package can be installed directly from PyPI:
pip install tracdap-runtime
The TRAC runtime depends on Pandas and PySpark, so these libraries will be pulled in as dependencies. If you want to target particular versions, install them explicitly first.
Writing a model
Once the runtime is installed you can write your first TRAC model! Start by inheriting the TracModel base class, your IDE should be able to generate stubs for you:
import tracdap.rt.api as trac
class SampleModel(trac.TracModel):
def define_parameters(self) -> tp.Dict[str, trac.ModelParameter]:
pass
def define_inputs(self) -> tp.Dict[str, trac.ModelInputSchema]:
pass
def define_outputs(self) -> tp.Dict[str, trac.ModelOutputSchema]:
pass
def run_model(self, ctx: trac.TracContext):
pass
You can fill in the three define_* methods to declare any parameters, inputs and outputs your model is going to need, then start writing your model code in run_model.
To learn about modelling with TRAC D.A.P. and what is possible, check out the modelling tutorials available in our online documentation. The tutorials are based on example models in the TRAC GitHub repository. We run these examples as part of our CI, so they will always be in sync with the corresponding version of the runtime library.
Building the runtime from source
This is not normally necessary for model development, but if you want to do it here are the commands.
cd tracdap-runtime/python
# Configure a Python environment
python -m venv ./venv
venv\Scripts\activate # For Windows platforms
. venv/bin/activate # For macOS or Linux
pip install -r requirements.txt
# Build the Python package files
python ./build_runtime.py --target dist
The package files will appear under build/dist
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Release files for tracdap-runtime 0.6.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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Total release size: 395.9 kB
Release files / tracdap_runtime-0.6.2.tar.gz
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