Skip to main content

Python package for processing LEGEND-200 data

Project description

Running the dashboard

It is recommended to use uv to run the dashboard as it makes the package management easier. Clone the repo and update the dashboard-config.yaml with the desired paths then simply run:

uv run dashboard dashboard-config.yaml -p 9009

to get the full dashboard. If running remotely you will just need to forward the relevant port. It is also possible to disable certain pages if not needed/wanted e.g.:

uv run dashboard dashboard-config.yaml -p 9009 -d spm muon llama phy

Alternatively can just run the individual components:

uv run dashboard-cal dashboard-config.yaml -p 9009 uv run dashboard-phy dashboard-config.yaml -p 9009 uv run dashboard-llama dashboard-config.yaml -p 9009 uv run dashboard-muon dashboard-config.yaml -p 9009 uv run dashboard-spms dashboard-config.yaml -p 9009

Developing

For developing it is recommending to install the package using the following commands:

uv venv source .venv/bin/activate uv pip install -e .[dev]

From there you can start a jupyter notebook. All the relevant classes have a build_*_pane(s) function to get the panel panes which can be displayed in a notebook. You should also pass the notebook=True option to make displaying work better.

Project details


Download files

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

Source Distribution

legend_dashboard-0.0.3.tar.gz (3.7 MB view details)

Uploaded Source

Built Distribution

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

legend_dashboard-0.0.3-py3-none-any.whl (3.7 MB view details)

Uploaded Python 3

File details

Details for the file legend_dashboard-0.0.3.tar.gz.

File metadata

  • Download URL: legend_dashboard-0.0.3.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for legend_dashboard-0.0.3.tar.gz
Algorithm Hash digest
SHA256 5f33382e65207237d2aa0e5cbfac9290ad0e46088cb5fe7cb556cd0f62a123cc
MD5 8de986f831bf2ed5d22607571dd2f9af
BLAKE2b-256 22c07842dc9c918b753623ef2061867f92511a6dc08aa94c45cdb2053deb9d84

See more details on using hashes here.

Provenance

The following attestation bundles were made for legend_dashboard-0.0.3.tar.gz:

Publisher: distribute.yml on legend-exp/legend-monitor-dashboard

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

File details

Details for the file legend_dashboard-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for legend_dashboard-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f22aa165eb49873c359802864ded9152d4b22593b89368256b83f8290f554b4a
MD5 4fcdaf922ca3feb2caee5f0ad7c7205c
BLAKE2b-256 05ab1e420b1fe6d032d894a4da7ab31ab0254b0d7283728c668d4265980870fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for legend_dashboard-0.0.3-py3-none-any.whl:

Publisher: distribute.yml on legend-exp/legend-monitor-dashboard

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