Open-EO / Open-EO/openeo-python-client
Eliminate fontawesome.com dependency
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 217
- Forks
- 56
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 2
Description
In the jupyter notebook integration, we inject a request to fontawesome.com:
I am not a lawyer, but as far as I understand e.g. https://law.stackexchange.com/questions/98873/gdpr-compliance-font-awesome, this might be a source of privacy/GDPR issues for entities that provide hosted openEO environments.
Same problem probably with https://github.com/Open-EO/openeo-python-client/blob/83194d759f94fa21f5e26f692f8a37f49db9af80/openeo/internal/jupyter.py#L6
Regardless of the GDPR/privacy issue, it's also not ideal that we have such hardcoded URLs in the package, without any means to override/disable them (e.g. because they stop working for some reason, or, worse, get compromised, like with the polyfill.io domain attack last year)
How can we improve the situation?
- find GDPR-friendly alternatives?
- reduce/eliminate the need for external hosting of these resources?
- E.g. can the fonts be replaced with embedded SVG?
- Or are there ways to allow the user to easily "self-host" on their jupyter environment?
- make the URLs configurable is some way to eliminate the hardcoding problem
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading openeo/internal/jupyter.py at lines 6 and 132 to inventory the fontawesome.com requests and how the notebook integration uses them. Compare the proposed alternatives—local or embedded resources, self-hosting, and configurable URLs—and define completion as removing the hardcoded dependency while preserving the integration and documenting the chosen approach.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter, python
- Domain
- developer-experience
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100