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In 2017, coala was gsoc org 5817061024464896.
As this repository is generic, the tool must find the project identifier using only the org_name which is exposed in the community app.
org_name
community
Scrape the list of org projects from that page , e.g. 5154725527814144, pull in relevant data, such as student and mentor display name.
The scraper must be part of the django system so that any GSOC org can load their 2017 data using the scraper.
The text was updated successfully, but these errors were encountered:
The extracted data should be cached in the generated website, like the GCI data, with correct timestamps, and only regenerated if the data is missing.
The fact that no data was found also needs to be cached, to avoid running the scraper in every build on non-gsoc orgs.
Sorry, something went wrong.
See also https://gitlab.com/coala/GSoC-2017/
@jayvdb Please assign this to me.
pradeepgangwar
Successfully merging a pull request may close this issue.
In 2017, coala was gsoc org 5817061024464896.
As this repository is generic, the tool must find the project identifier using only the
org_name
which is exposed in thecommunity
app.Scrape the list of org projects from that page , e.g. 5154725527814144, pull in relevant data, such as student and mentor display name.
The scraper must be part of the django system so that any GSOC org can load their 2017 data using the scraper.
The text was updated successfully, but these errors were encountered: