Set up a system for the contest

[shankari]

High level idea:

• Set up new AWS server
• Set up e-mission on it
• Copy over data from users so far
• Set up a new public ipython notebook server

ENJOY!

[shankari]

Write email addresses from the email into file_odc-sp-2017.
Convert them to uuids

./e-mission-py.bash bin/public/extract_challenge_uuids.py file_odc-sp-2017 file_odc-sp-2017.uuid

3 users didn't send email from the email that they used to log in
Following with them via email

[shankari]

Start pulling out the data

./e-mission-py.bash bin/debug/extract_timeline_for_day_range_and_user.py file_odc-sp-2017.uuid 2017-07-23 2017-07-28 /tmp/odc-usp-2017/user

[shankari]

Checked in raw data to github
interscity/open-data-challenge-2017@361a08e

and created a simple README
interscity/open-data-challenge-2017@d911963

[shankari]

Loading the data in the public server

./e-mission-py.bash bin/debug/load_multi_timeline_for_range.py /tmp/odc-usp-2017/user
INFO:root:timeline contains a mixture of analysis results and raw data - complain to shankari!

Need to check!

[shankari]

From https://github.com/e-mission/e-mission-server/issues/511#issuecomment-318354452

Need to check

this is because the most recent entry has no actual points, so only pipeline stats so far

[shankari]

Seems to work pretty well.
https://github.com/interscity/open-data-challenge-2017

But now that we support multiple servers, the long-term solution (I think) is to just put the open data into a separate, public server and give people unrestricted access to it.

[shankari]

I've attached the outline of a proposal outlining the New Way of doing things.
open-travel-survey-collection-proposal.pdf

[shankari]

This issue is now closed.