issue_comments

Table actions

3 rows where issue = 396212021 and user = 127565 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: reactions, created_at (date), updated_at (date)

user 1

  • wragge · 3 ✖

issue 1

  • base_url configuration setting · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
641908346 https://github.com/simonw/datasette/issues/394#issuecomment-641908346 https://api.github.com/repos/simonw/datasette/issues/394 MDEyOklzc3VlQ29tbWVudDY0MTkwODM0Ng== wragge 127565 2020-06-10T10:22:54Z 2020-06-10T10:22:54Z CONTRIBUTOR

There's a working demo here: https://github.com/wragge/datasette-test

And if you want something that's more than just proof-of-concept, here's a notebook which does some harvesting from web archives and then displays the results using Datasette: https://nbviewer.jupyter.org/github/GLAM-Workbench/web-archives/blob/master/explore_presentations.ipynb

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 base_url configuration setting 396212021  
604166918 https://github.com/simonw/datasette/issues/394#issuecomment-604166918 https://api.github.com/repos/simonw/datasette/issues/394 MDEyOklzc3VlQ29tbWVudDYwNDE2NjkxOA== wragge 127565 2020-03-26T00:56:30Z 2020-03-26T00:56:30Z CONTRIBUTOR

Thanks! I'm trying to launch Datasette from within a notebook using the jupyter-server-proxy and the new base_url parameter. While the assets load ok, and the breadcrumb navigation works, the facet links don't seem to use the base_url. Or have I missed something?

My test repository is here: https://github.com/wragge/datasette-test

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 base_url configuration setting 396212021  
602907207 https://github.com/simonw/datasette/issues/394#issuecomment-602907207 https://api.github.com/repos/simonw/datasette/issues/394 MDEyOklzc3VlQ29tbWVudDYwMjkwNzIwNw== wragge 127565 2020-03-23T23:12:18Z 2020-03-23T23:12:18Z CONTRIBUTOR

This would also be useful for running Datasette in Jupyter notebooks on Binder. While you can use Jupyter-server-proxy to access Datasette on Binder, the links are broken.

Why run Datasette on Binder? I'm developing a range of Jupyter notebooks that are aimed at getting humanities researchers to explore data from libraries, archives, and museums. Many of them are aimed at researchers with limited digital skills, so being able to run examples in Binder without them installing anything is fantastic.

For example, there are a series of notebooks that help researchers harvest digitised historical newspaper articles from Trove. The metadata from this harvest is saved as a CSV file that users can download. I've also provided some extra notebooks that use Pandas etc to demonstrate ways of analysing and visualising the harvested data.

But it would be really nice if, after completing a harvest, the user could spin up Datasette for some initial exploration of their harvested data without ever leaving their browser.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 base_url configuration setting 396212021  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);