Taranis AI Pydantic Models
This folder provides pydantic models for validation of data sent between Taranis AI services and offered to third party clients.
Installation
It's recommended to use a uv to set up a virtual environment.
curl -LsSf https://astral.sh/uv/install.sh | sh
uv sync
If updating something and wanting to test it in frontend or core you can use install_and_run_dev.sh or something similar to the commands below:
uv sync --all-extras --frozen --python 3.13
export UV_NO_SYNC=true
uv run pytest tests
Release files for taranis-models 1.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| taranis_models-1.5.1.tar.gz | 61.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| taranis_models-1.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 102.0 kB
Release files / taranis_models-1.5.1.tar.gz
| Download URL | taranis_models-1.5.1.tar.gz |
|---|---|
| Size | 61.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / taranis_models-1.5.1-py3-none-any.whl
| Download URL | taranis_models-1.5.1-py3-none-any.whl |
|---|---|
| Size | 40.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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