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@keeganskeate keeganskeate released this 09 Sep 22:17
· 366 commits to main since this release
v0.0.11
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Learn about vigilant mode.

馃帀馃コ 馃帀 Big release today - 馃ジ CoADoc is live!

Big thanks to @candyo who spearheaded testing and who's diligence and attention to detail critically helped with countless improvements. Also, huge thanks to The CESC who supplied the training data that made everything possible. We are blessed for the whole Cannabis Data Science Team, thank you for your help making this tool a reality 馃檹

This tool will need extensive testing, as the production environment is always slightly different that development. Right off the bat, it is trickier to parse QR codes due to the needed dependencies. I've adjusted this Dockerfile to run CoADoc in the same container as the Cannlytics Website. If anyone wants to experiment running CoADoc in a Docker container, then that would be super, super helpful. In particular, the tricky dependency is zbar. Here is a reference to a similar issue.

Once battle-tested, CoADoc can parse your CoAs in 3 ways:

  1. Through the user interface.
  2. Through the API.
  3. With the Python SDK.

Hopefully you find use for the tool, the resulting lab result, and potentially business opportunities for onboarding new labs and LIMS. The sky is the limit 馃殌 Thank you all!

Contributors

candyo
Assets 3