Skip to main content

Taranis AI Models

Project description

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
uv pip install -e ../models

export UV_NO_SYNC=true
uv run pytest tests

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

taranis_models-1.2.3.tar.gz (26.7 kB view details)

Uploaded Source

Built Distribution

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

taranis_models-1.2.3-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file taranis_models-1.2.3.tar.gz.

File metadata

  • Download URL: taranis_models-1.2.3.tar.gz
  • Upload date:
  • Size: 26.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for taranis_models-1.2.3.tar.gz
Algorithm Hash digest
SHA256 e76e4bd66314ba4e4a124f4019d72678b2d4e98052f7d4b3d7b19d76f5a52668
MD5 98a71f70895e62f18dc24031e20826ab
BLAKE2b-256 66d2202278c8d650deacd96d671a116357151737725187bb4a234403703a0b22

See more details on using hashes here.

Provenance

The following attestation bundles were made for taranis_models-1.2.3.tar.gz:

Publisher: build_model.yaml on taranis-ai/taranis-ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file taranis_models-1.2.3-py3-none-any.whl.

File metadata

  • Download URL: taranis_models-1.2.3-py3-none-any.whl
  • Upload date:
  • Size: 13.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for taranis_models-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 644e416d1e8200919313bd473d88febb0b14f385b12bec668cd80a673295de69
MD5 8fd5cec90b4e060bee2bb9cc67504cc9
BLAKE2b-256 2d2cc7711b41ae30d66daa0d2af994f9250050a68782715f4825ba2306d05d2d

See more details on using hashes here.

Provenance

The following attestation bundles were made for taranis_models-1.2.3-py3-none-any.whl:

Publisher: build_model.yaml on taranis-ai/taranis-ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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