issue_comments: 505279560
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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/521#issuecomment-505279560 | https://api.github.com/repos/simonw/datasette/issues/521 | 505279560 | MDEyOklzc3VlQ29tbWVudDUwNTI3OTU2MA== | 9599 | 2019-06-25T04:40:16Z | 2019-06-25T04:40:38Z | OWNER | I think the trick is to redefine what a "cell_row" is. Each row is currently a list of cells: https://github.com/simonw/datasette/blob/6341f8cbc7833022012804dea120b838ec1f6558/datasette/views/table.py#L159-L163 I can redefine the row (the `cells` variable in the above example) as a thing-that-iterates-cells (hence behaving like a list) but that also supports `__getitem__` access for looking up cell values if you know the name of the column. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 459621683 |