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html_url issue_url id node_id user created_at updated_at author_association body reactions issue performed_via_github_app
https://github.com/simonw/datasette/issues/195#issuecomment-379559074 https://api.github.com/repos/simonw/datasette/issues/195 379559074 MDEyOklzc3VlQ29tbWVudDM3OTU1OTA3NA== 9599 2018-04-08T15:31:49Z 2018-04-08T15:31:49Z OWNER While I'm at it, doing the same thing for fts_table detection is worth considering: https://github.com/simonw/datasette/blob/446d47fdb005b3776bc06ad8d1f44b01fc2e938b/datasette/app.py#L598-L603 {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} 312313496  
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