Working with private repos

This workflow describes how to add a private repo to WS and access it from vizabi

1. Make a private Github repo
2. Add Github account gapminderdeploy to the list of collaborators of your private repo
3. Add your private Github repo in WS CLI
4. When importing dataset choose "Private" in WS CLI
5. Chose Generate Access Token in WS CLI, then chose the repo that was imported in the previous steps
6. Copy the generated access token to clipboard

Generated Access Token :: 8245ddddd000011110000000000aaaaaa0000bbbbbccccc7
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Use vizabi-ws-reader 2.1.0 or above
When configuring the reader in vizabi model, add a property dataset_access_token and paste the value you copied earlier, for example:

VIZABI_MODEL.data = {
  "reader": 'waffle',
  "path": 'https://waffle-server-dev.gapminderdev.org/api/ddf/ql',
  "dataset": 'Gapminder/ddf--my--private--dataset#branch',
  "assetsPath": 'https://import-waffle-server-dev.gapminderdev.org/api/ddf/assets/',
  "dataset_access_token": "8245ddddd000011110000000000aaaaaa0000bbbbbccccc7"
};

note: when importing the dataset into WS you can also chose to import it as private even though it's a public Github repo. In this case WS and WS-reader will also need to use dataset access token.