issue_comments

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1 row where "created_at" is on date 2021-01-06, issue = 627794879 and user = 9599 sorted by updated_at descending

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  • simonw · 1 ✖

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  • Redesign default .json format · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
755484384 https://github.com/simonw/datasette/issues/782#issuecomment-755484384 https://api.github.com/repos/simonw/datasette/issues/782 MDEyOklzc3VlQ29tbWVudDc1NTQ4NDM4NA== simonw 9599 2021-01-06T18:31:14Z 2021-01-06T18:31:57Z OWNER

In building https://latest-with-plugins.datasette.io/github/issue_comments.Notebook?_labels=on I discovered the following patterns for importing data into both Pandas and Observable/d3: python import pandas df = pandas.read_json( "https://latest-with-plugins.datasette.io/github/issue_comments.json?_shape=array" ) And: javascript d3 = require("d3@5") rows = d3.json( "https://latest-with-plugins.datasette.io/github/issue_comments.json?_shape=array" ) Once again I find myself torn on the best possible default. A list of JSON objects is instantly compatible with both pandas.read_json() and d3.json() - but it leaves nowhere to put the extra information like pagination and suchlike!

Even given this I still think the correct default is an object with "rows", "total" and "next_url" keys. I should commit to that and implement it - this thought exercise has been running for far too long.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Redesign default .json format 627794879  

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);