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3 rows where type = "issue" and user = 10352819 sorted by updated_at descending
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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1817281557 | I_kwDOC8SPRc5sUYQV | 37 | cannot use jinja filters in display? | rprimet 10352819 | closed | 0 | 1 | 2023-07-23T20:09:54Z | 2023-07-23T20:18:27Z | 2023-07-23T20:18:26Z | NONE | Hi, I'm trying to have a display function in Dogsheep's ``` {{ display.title }} (source){{ display.snippet|safe }} ``` Unfortunately, rendering fails with a message 'urls is undefined'. The same happens if I'm trying to build a row URL manually, using filters like Any hints? Thanks! |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/37/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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471292050 | MDU6SXNzdWU0NzEyOTIwNTA= | 563 | incorrect json url for row-level data? | rprimet 10352819 | closed | 0 | 0 | 2019-07-22T19:59:38Z | 2019-10-21T02:03:09Z | 2019-10-21T02:03:09Z | CONTRIBUTOR | While visiting this example page (linked from Datasette documentation), manually clicking on the link ("This data as .json") to the json data results in an error 500 The JSON page linked to from the documentation however is correct (the page address ends in This particular datasette demo page is now a few versions behind, but I was able to reproduce the issue using v0.29.2 and a downloaded copy of the demo database (and also with the current HEAD). Here is a stack trace: ``` Traceback (most recent call last): File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/utils/asgi.py", line 101, in call return await view(new_scope, receive, send) File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/utils/asgi.py", line 173, in view request, scope["url_route"]["kwargs"] File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/views/base.py", line 267, in get request, database, hash, correct_hash_provided, kwargs File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/views/base.py", line 399, in view_get request, database, hash, **kwargs TypeError: data() got an unexpected keyword argument 'as_format' ``` |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/563/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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398559195 | MDU6SXNzdWUzOTg1NTkxOTU= | 400 | datasette publish cloudrun plugin | rprimet 10352819 | closed | 0 | 1 | 2019-01-12T14:35:11Z | 2019-05-03T16:57:35Z | 2019-05-03T16:57:35Z | CONTRIBUTOR | Google announced that they may launch a simple service for running Docker containers (previously serverless containers, now called "cloud run" -- link to alpha here). If/when this happens, it might be a good fit for publishing datasettes? (at least using the current version, manually publishing a datasette seems relatively painless). |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/400/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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