issue_comments

Table actions

3 rows where issue = 1054244712

✎ View and edit SQL

This data as json, CSV (advanced)

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

id ▼ html_url issue_url node_id user created_at updated_at author_association body reactions issue performed_via_github_app
1068443509 https://github.com/simonw/datasette/issues/1510#issuecomment-1068443509 https://api.github.com/repos/simonw/datasette/issues/1510 IC_kwDOBm6k_c4_ryd1 simonw 9599 2022-03-15T20:35:29Z 2022-03-15T20:35:29Z OWNER If I set a rule that everything available in the template context MUST also be available via the JSON API (maybe through an extras mechanism) I can combine this with API documentation and solve both at once. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Datasette 1.0 documented template context (maybe via API docs) 1054244712  
1073366630 https://github.com/simonw/datasette/issues/1510#issuecomment-1073366630 https://api.github.com/repos/simonw/datasette/issues/1510 IC_kwDOBm6k_c4_-kZm simonw 9599 2022-03-20T22:59:33Z 2022-03-20T22:59:33Z OWNER I really like the idea of making this effectively the same thing as the fully documented, stable JSON API that comes as part of 1.0. If you want to know what will be available to your templates, consult the API documentation. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Datasette 1.0 documented template context (maybe via API docs) 1054244712  
1610512875 https://github.com/simonw/datasette/issues/1510#issuecomment-1610512875 https://api.github.com/repos/simonw/datasette/issues/1510 IC_kwDOBm6k_c5f_nnr simonw 9599 2023-06-28T02:02:10Z 2023-06-28T02:05:21Z OWNER I prototyped an approach to this using dataclasses and a `cog` mechanism for turning those into rendered tables in Sphinx. Here's what that prototype looks like: <img width="1069" alt="image" src="https://github.com/simonw/datasette/assets/9599/79210a43-716c-4470-a62d-01aa871973ec"> See https://github.com/simonw/datasette/commit/68223784167fdec4e7ebfca56002a6548ba7b423 for how it works. Here's the class that documented: https://github.com/simonw/datasette/blob/68223784167fdec4e7ebfca56002a6548ba7b423/datasette/context.py#L54-L68 And the code that generates the rST: https://github.com/simonw/datasette/blob/68223784167fdec4e7ebfca56002a6548ba7b423/datasette/context.py#L19-L45 And the bit that cog executes: https://github.com/simonw/datasette/blob/68223784167fdec4e7ebfca56002a6548ba7b423/docs/template_context.rst?plain=1#L9-L12 {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Datasette 1.0 documented template context (maybe via API docs) 1054244712  

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]);