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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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789336592 | MDU6SXNzdWU3ODkzMzY1OTI= | 1195 | view_name = "query" for the query page | simonw 9599 | open | 0 | 4 | 2021-01-19T20:21:36Z | 2021-01-25T04:40:08Z | OWNER | It uses |
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795367402 | MDU6SXNzdWU3OTUzNjc0MDI= | 1209 | v0.54 500 error from sql query in custom template; code worked in v0.53; found a workaround | jrdmb 11788561 | open | 0 | 1 | 2021-01-27T19:08:13Z | 2021-01-28T23:00:27Z | NONE | v0.54 500 error in sql query template; code worked in v0.53; found a workaround schema: Live example of correctly rendered template in v.053: https://cosmotalks-cy6xkkbezq-uw.a.run.app/cosmotalks/talks/1 Description of problem: I needed 'sql select' code in a custom row-mydatabase-mytable.html template to lookup the series name for a foreign key integer value in the talks table. So The code below worked perfectly in v0.53 (just the relevant sql statement part is shown; full code is here):
In v0.54, that code resulted in a 500 error with a 'no such table series' message. A second query in that template also did not work but the above is fully illustrative of the problem. All templates were up-to-date along with datasette v0.54. Workaround: After fiddling around with trying different things, what worked was the syntax from Querying a different database from the datasette-template-sql github repo to add the database name to the sql statement:
Though this was found to work, it should not be necessary to add |
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1556065335 | PR_kwDOBm6k_c5Ie5nA | 2004 | use single quotes for string literals, fixes #2001 | cldellow 193185 | open | 0 | 1 | 2023-01-25T05:08:46Z | 2023-02-01T06:37:18Z | CONTRIBUTOR | simonw/datasette/pulls/2004 | This modernizes some uses of double quotes for string literals to use only single quotes, fixes simonw/datasette#2001 While developing it, I manually enabled the stricter mode by using the code snippet at https://gist.github.com/cldellow/85bba507c314b127f85563869cd94820 I think that code snippet isn't generally safe/portable, so I haven't tried to automate it in the tests. :books: Documentation preview :books:: https://datasette--2004.org.readthedocs.build/en/2004/ |
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527670799 | MDU6SXNzdWU1Mjc2NzA3OTk= | 639 | updating metadata.json without recreating the app | pkoppstein 172847 | open | 0 | 6 | 2019-11-24T09:19:53Z | 2019-11-30T06:08:50Z | NONE | I've sucessfully "uploaded" an SQLite database (with a metadata.json file) to heroku using:
The question is: how can I modify the (small) metadata.json file without having to upload the (large) SQLite database. The directions on heroku indicate I should run:
But this just results in an empty directory with a warning: warning: You appear to have cloned an empty repository. I've been able to "clone" the heroku "app" using the command:
but this is not a git repository.... Ideally, it seems to me, there'd be an option of the (p.s. I ran (p.p.s. Thanks for Datasette!) |
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950664971 | MDU6SXNzdWU5NTA2NjQ5NzE= | 1401 | unordered list is not rendering bullet points in description_html on database page | fgregg 536941 | open | 0 | 2 | 2021-07-22T13:24:18Z | 2021-10-23T13:09:10Z | CONTRIBUTOR | Thanks for this tremendous package, @simonw! In the However, on the database page on the deployed site, it is not rendering this as a bulleted list. Page here: https://labordata-warehouse.herokuapp.com/nlrb-9da4ae5 The documentation gives an example of using an unordered list in a |
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1363552780 | I_kwDOBm6k_c5RRioM | 1805 | truncate_cells_html does not work for links? | CharlesNepote 562352 | open | 0 | 7 | 2022-09-06T16:41:29Z | 2022-10-03T09:18:06Z | NONE | We have many links inside our dataset (please don't blame us ;-). When I use Eg. https://images.openfoodfacts.org/images/products/000/000/000/088/nutrition_fr.5.200.jpg (87 chars) is not truncated: IMHO It would make sense that links should be treated as HTML. The link should work of course, but Datasette could truncate it: https://images.openfoodfacts.org/images/products/00[...].jpg |
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988556488 | MDU6SXNzdWU5ODg1NTY0ODg= | 1459 | suggestion: allow `datasette --open` to take a relative URL | ctb 51016 | open | 0 | 1 | 2021-09-05T17:17:07Z | 2021-09-05T19:59:15Z | CONTRIBUTOR | (soft suggestion because I'm not sure I'm using datasette right yet) Over at https://github.com/ctb/2021-sourmash-datasette, I'm playing around with datasette, and I'm creating some static pages to send people to the right facets. There may well be better ways of achieving this end goal, and I will find out if so, I'm sure! But regardless I think it might be neat to support an option to allow Happy to dig in and provide a PR if it's of interest. I'm not sure off the top of my head how to support an optional value to a parameter in argparse - the current |
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707849175 | MDU6SXNzdWU3MDc4NDkxNzU= | 974 | static assets and favicon aren't cached by the browser | obra 45416 | open | 0 | 1 | 2020-09-24T04:44:55Z | 2022-01-13T22:21:28Z | NONE | Using datasette to solve some frustrating problems with our fulfillment provider today, I was surprised to see repeated requests for assets under /-/static and the favicon. While it won't likely be a huge performance bottleneck, I bet datasette would feel a bit zippier if you had Uvicorn serving up some caching-related headers telling the browser it was safe to cache static assets. |
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1509783085 | I_kwDOBm6k_c5Z_XYt | 1969 | sql-formatter javascript is not now working with CloudFlare rocketloader | fgregg 536941 | open | 0 | 0 | 2022-12-23T21:14:06Z | 2023-01-10T01:56:33Z | CONTRIBUTOR | This is probably not a bug with datasette, but I thought you might want to know, @simonw. I noticed today that my CloudFlare proxied datasette instance lost the "Format SQL" option. I'm pretty sure it was there last week. In the CloudFlare settings, if I turn off Rocket Loader, I get the "Format SQL" option back. Rocket Loader works by asynchronously loading the javascript, so maybe there was a recent change that doesn't play well with the asynch loading? I'm up to date with https://github.com/simonw/datasette/commit/e03aed00026cc2e59c09ca41f69a247e1a85cc89 |
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1708981860 | PR_kwDOBm6k_c5QdMea | 2074 | sort files by mtime | abbbi 3919561 | open | 0 | 0 | 2023-05-14T15:25:15Z | 2023-05-14T15:25:29Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2074 | serving multiple database files and getting tired by the default sort, changes so the sort order puts the latest changed databases to be on top of the list so don't have to scroll down, lazy as i am ;) :books: Documentation preview :books:: https://datasette--2074.org.readthedocs.build/en/2074/ |
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1822813627 | I_kwDOBm6k_c5spe27 | 2108 | some (many?) SQL syntax errors are not throwing errors with a .csv endpoint | fgregg 536941 | open | 0 | 0 | 2023-07-26T16:57:45Z | 2023-07-26T16:58:07Z | CONTRIBUTOR | here's a CTE query that should always fail with a syntax error:
when we make this query against the default endpoint, we do indeed get a 400 status code the problem is returned to the user: https://global-power-plants.datasettes.com/global-power-plants?sql=with+foo+as+%28nonsense%29+select+*+from+foo%3B but, if we use the csv endpoint, we get a 200 status code and no indication of a problem: https://global-power-plants.datasettes.com/global-power-plants.csv?sql=with+foo+as+%28nonsense%29+select+*+from+foo%3B same with this bad sql
vs but, datasette catches this bad sql at both endpoints:
https://global-power-plants.datasettes.com/global-power-plants?sql=slect%0D%0A++a%0D%0Afrom%0D%0A++foo%3B https://global-power-plants.datasettes.com/global-power-plants.csv?sql=slect%0D%0A++a%0D%0Afrom%0D%0A++foo%3B |
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871304967 | MDU6SXNzdWU4NzEzMDQ5Njc= | 1315 | settings.json should be picked up by "datasette publish cloudrun" | simonw 9599 | open | 0 | 0 | 2021-04-29T18:16:41Z | 2021-04-29T18:16:41Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1315/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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718272593 | MDU6SXNzdWU3MTgyNzI1OTM= | 1007 | set-env and add-path commands have been deprecated | simonw 9599 | open | 0 | 1 | 2020-10-09T16:21:18Z | 2020-10-09T16:23:51Z | OWNER | https://github.blog/changelog/2020-10-01-github-actions-deprecating-set-env-and-add-path-commands/
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1096536240 | I_kwDOBm6k_c5BW9Cw | 1586 | run analyze on all databases as part of start up or publishing | fgregg 536941 | open | 0 | 1 | 2022-01-07T17:52:34Z | 2022-02-02T07:13:37Z | CONTRIBUTOR | Running It might be nice if the analyze was run as part of the start up of "serve" or "publish". |
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1552368054 | I_kwDOBm6k_c5ch0G2 | 2000 | rewrite_sql hook | cldellow 193185 | open | 0 | 1 | 2023-01-23T01:02:52Z | 2023-01-23T06:08:01Z | CONTRIBUTOR | I'm not sold that this is a good idea, but thought it'd be worth writing up a ticket. Proposal: add a hook like
It would be called from Database.execute, Database.execute_write, Database.execute_write_script, Database.execute_write_many before running the user's SQL. The hook could return a SQL statement to be executed instead, or an async function to be awaited on that returned the SQL to be executed. Plugins that could be written with this hook:
Flaws with this idea:
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1978023780 | I_kwDOBm6k_c515j9k | 2205 | request.post_vars() method obliterates form keys with multiple values | simonw 9599 | open | 0 | Datasette 1.0a-next 8755003 | 3 | 2023-11-05T23:25:08Z | 2023-11-06T04:10:34Z | OWNER | In GET requests you can do You can't even try calling |
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1978022687 | I_kwDOBm6k_c515jsf | 2204 | request.post_body() can only be called once | simonw 9599 | open | 0 | 0 | 2023-11-05T23:22:03Z | 2023-11-05T23:23:23Z | OWNER | This code here: It consumes the messages, which means if you try to call it a second time you won't be able to get at the body. This is efficient - we don't end up with a Potential solution: set Potential optimization: only do this for bodies that are shorter than a certain threshold - maybe 1MB - and raise an exception if you attempt to call I'm a bit nervous about that option though, since it could result in errors that don't show up in testing but do show up in production. |
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1424980545 | I_kwDOBm6k_c5U73pB | 1861 | request.headers.get("Content-Type") fails | simonw 9599 | open | 0 | 0 | 2022-10-27T03:39:12Z | 2022-10-27T03:39:12Z | OWNER | Turns out this is case-sensitive, needs to be:
That's not great usability. It should be case insensitive. |
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1515815014 | I_kwDOBm6k_c5aWYBm | 1973 | render_cell plugin hook's row object is not a sqlite.Row | cldellow 193185 | open | 0 | 4 | 2023-01-01T20:27:46Z | 2023-01-29T00:40:31Z | CONTRIBUTOR |
This appears to actually be a CustomRow, but I think that's unrelated to my issue. I have a table:
On datasette 0.63.2, the
I expected the I can work around this, but was wondering if this was intended behaviour? |
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1613974869 | PR_kwDOBm6k_c5LgPS- | 2034 | remove an unused `app` var in cli.py | wenhoujx 4370201 | open | 0 | 2 | 2023-03-07T18:19:05Z | 2023-03-29T20:56:20Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2034 | this var Feel free to ignore this PR if the deleted line actually does something. :books: Documentation preview :books:: https://datasette--2034.org.readthedocs.build/en/2034/ |
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749283032 | MDU6SXNzdWU3NDkyODMwMzI= | 1101 | register_output_renderer() should support streaming data | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 13 | 2020-11-24T02:17:09Z | 2023-01-21T22:07:19Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1096#issuecomment-732542285 |
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730210880 | MDU6SXNzdWU3MzAyMTA4ODA= | 1055 | query.html and table.html should share the same table implementation | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 0 | 2020-10-27T07:58:21Z | 2020-10-27T07:58:29Z | OWNER | In #998 I made a change that affected the table page but didn't affect the query page because I incorrectly assumed they shared rendering logic. |
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1163369515 | I_kwDOBm6k_c5FV5wr | 1655 | query result page is using 400mb of browser memory 40x size of html page and 400x size of csv data | fgregg 536941 | open | 0 | 8 | 2022-03-09T00:56:40Z | 2023-10-17T21:53:17Z | CONTRIBUTOR | is using about 400 mb in firefox 97 on mac os x. if you download the html for the page, it's about 11mb and if you get the csv for the data its about 1mb. it's using over a 1G on chrome 99. i found this because, i was trying to figure out why editing the SQL was getting very slow. |
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616087149 | MDU6SXNzdWU2MTYwODcxNDk= | 765 | publish heroku should default to currently tagged version | simonw 9599 | open | 0 | 1 | 2020-05-11T18:24:06Z | 2020-05-11T18:25:43Z | OWNER | Had a report that deploying to Heroku was using the previously installed version of Datasette, not the latest. Could be because of this: Heroku documentation recommends pinning to specific versions https://devcenter.heroku.com/articles/python-pip So... we could ensure we default to an install value of |
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642388564 | MDU6SXNzdWU2NDIzODg1NjQ= | 858 | publish heroku does not work on Windows 10 | simonlau 870912 | open | 0 | 7 | 2020-06-20T14:40:28Z | 2021-06-10T17:44:09Z | NONE | When executing "datasette publish heroku schools.db" on Windows 10, I get the following error
to
as well as the other |
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574035432 | MDU6SXNzdWU1NzQwMzU0MzI= | 692 | is_hidden_table context variable on table.html page | simonw 9599 | open | 0 | 1 | 2020-03-02T15:03:25Z | 2020-03-02T15:03:48Z | OWNER | It's useful to know if a table is hidden when rendering that page. |
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327365110 | MDU6SXNzdWUzMjczNjUxMTA= | 294 | inspect should record column types | simonw 9599 | open | 0 | 7 | 2018-05-29T15:10:41Z | 2019-06-28T16:45:28Z | OWNER | For each table we want to know the columns, their order and what type they are. I'm going to break with SQLite defaults a little on this one and allow datasette to define additional types - to start with just a Possible JSON design:
Refs #276 |
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646448486 | MDExOlB1bGxSZXF1ZXN0NDQwNzM1ODE0 | 868 | initial windows ci setup | joshmgrant 702729 | open | 0 | 3 | 2020-06-26T18:49:13Z | 2021-07-10T23:41:43Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/868 | Picking up the work done on #557 with a new PR. Seeing if I can get this working. |
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855476501 | MDU6SXNzdWU4NTU0NzY1MDE= | 1298 | improve table horizontal scroll experience | mroswell 192568 | open | 0 | 4 | 2021-04-12T01:55:16Z | 2022-08-30T21:11:49Z | CONTRIBUTOR | Wide tables aren't a huge problem if you know to click and drag right. But it's not at all obvious to do that. (it also tends to blue-select any content as it's dragging.) Depending on column widths, public users might entirely miss all the columns to the right. There is a scrollbar at the bottom of the table, but I'm displaying ALL my records because it's the only way for datasette-vega to make accurate charts. So that bottom scrollbar is likely to be missed. I wonder if some sort of javascript-y mouseover to an arrow might help, similar to those seen in image carousels. Ah: here's a perfect example:
Might be tricky to do that on a table, rather than a one-row carousel, but it's worth experimenting with. Another option is just to put the scrollbars at the top of the table, too. Meantime, I'm trying to build a button like the "View/hide all columns on https://salaries.news.baltimoresun.com/salaries-be494cf/2019+Maryland+state+salaries Might be nice to have that available by default, with settings in the metadata showing which are on by default. (I saw some other closed issues related to horizontal scrolling, and admit I don't entirely understand them. For instance, the animated gif at https://github.com/simonw/datasette/issues/998#issuecomment-714117534 confuses me. ) |
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1079111498 | I_kwDOBm6k_c5AUe9K | 1553 | if csv export is truncated in non streaming mode set informative response header | fgregg 536941 | open | 0 | 3 | 2021-12-13T22:50:44Z | 2021-12-16T19:17:28Z | CONTRIBUTOR | streaming mode is currently not enabled for custom queries, so the queries will be truncated to max row limit. it would be great if a response is truncated that an header signalling that was set in the header. i need to write some pagination code for getting full results back for a custom query and it would make the code much better if i could reliably known when there is nothing more to limit/offset |
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1323346408 | I_kwDOBm6k_c5O4Kno | 1775 | i18n support | johnfelipe 428820 | open | 0 | 9 | 2022-07-31T02:51:04Z | 2023-02-10T18:04:40Z | NONE | I want contribute for translate UI to es, de, de and it if you share strings |
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870946764 | MDU6SXNzdWU4NzA5NDY3NjQ= | 1312 | how to query many-to-many relationship via json API? | bram2000 5268174 | open | 0 | 0 | 2021-04-29T12:09:49Z | 2021-04-29T12:09:49Z | NONE | Hi, Firstly thanks for Datasette, it's great! I'm trying to use the JSON API to query data from a Datasette instance. I have a simple 3 table many-to-many relationship, like so:
the Now I want to return "all documents within category X" but I cannot see a way to do this without executing two queries; the first to lookup the row_id of category X, and the second to join I could easily write this in SQL, but this makes programmatic handling of pagination much more difficult (we'd have to dynamically modify the SQL to select the row_id and include the correct where and limit clauses). Is there a way to achieve this using the JSON API? |
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1181037277 | I_kwDOBm6k_c5GZTLd | 1686 | heroku bails if app name specifed in datasette publish is the same as existing app | tlongers 2115933 | open | 0 | 0 | 2022-03-25T17:10:34Z | 2022-03-25T17:10:34Z | NONE | Seem that
The resulting error has the below traceback:
It's a solid failsafe, but does |
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799663959 | MDU6SXNzdWU3OTk2NjM5NTk= | 1213 | gzip support for HTML (and JSON) responses | simonw 9599 | open | 0 | 3 | 2021-02-02T20:36:28Z | 2021-02-02T20:41:55Z | OWNER | This page https://datasette-tiles-demo.datasette.io/San_Francisco/tiles is 2MB because of all of the base64 images. Gzipped it's 1.5MB. Since Datasette is usually deployed without a frontend gzipping proxy, Datasette itself needs to solve for this. Gzipping everything won't work because some endpoints - the all-rows CSV endpoint and the download-database endpoint - are streaming and hence can't be buffered-and-gzipped. |
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1091257796 | I_kwDOBm6k_c5BC0XE | 1584 | give error with recursive sql | tunguyenatwork 58088336 | open | 0 | 0 | 2021-12-30T18:53:16Z | 2021-12-30T18:53:16Z | NONE | I got an error "near "WITH": syntax error" after I upgraded to version 0.59 from 0.52.4. This error is related to recursive sql. It works great on the previous version but it failed after upgraded. Below is an example of sql: WITH RECURSIVE manager_of(position, super_position) AS (SELECT position, case ifnull(INDIRECT_SUPER_POSITION,'') when '' then super_position else INDIRECT_SUPER_POSITION end as SUPER_POSITION FROM position where super_position<>'SGV000000001' and super_position!='' and position <> super_position),chain_manager_of_position(position, level) AS (SELECT super_position, 1 as level FROM manager_of WHERE super_position!='' and (position=:pos or position in (Select position from employee where employee=:ein)) UNION ALL SELECT super_position, level+1 as level FROM manager_of JOIN chain_manager_of_position USING(position)) SELECT * FROM chain_manager_of_position left join employee using(position) where employee is not NULL order by level limit 1 |
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1533673397 | I_kwDOBm6k_c5baf-1 | 1991 | fts5 tables are not auto-detected and hidden | keturn 83819 | open | 0 | 0 | 2023-01-15T06:00:42Z | 2023-01-20T04:54:24Z | NONE | I set up a Datasette instance and was following the docs on full-text search. When I used fts4, datasette automatically hid the FTS tables and added the FTS search box where appropriate, but when I changed to fts5 it no longer does either. If I manually set My table and view creation code looks like this:
|
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718238967 | MDU6SXNzdWU3MTgyMzg5Njc= | 1003 | from_json jinja2 filter | mhalle 649467 | open | 0 | 4 | 2020-10-09T15:30:58Z | 2020-10-09T17:17:07Z | NONE | When JSON fields are rendered in a jinja2 template, it is handy to be able to manipulate them as data (e.g., iterate over an array of values). Ansible has a "from_json" function, which just called json.loads. It's a trivial as a datasette plugin, but it seems generally useful. Does it makes sense to add it directly into the app? |
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1538197093 | I_kwDOBm6k_c5brwZl | 1995 | foreign_keys error 500 | jonschoning 137183 | open | 0 | 0 | 2023-01-18T15:27:36Z | 2023-01-18T16:44:01Z | NONE | Error 500 expected string or bytes-like object run
Schema: ``` CREATE TABLE IF NOT EXISTS "user" ( "id" INTEGER PRIMARY KEY, "name" VARCHAR NOT NULL, "password_hash" VARCHAR NOT NULL, "api_token" VARCHAR NULL, "private_default" BOOLEAN NOT NULL, "archive_default" BOOLEAN NOT NULL, "privacy_lock" BOOLEAN NOT NULL, CONSTRAINT "unique_user_name" UNIQUE ("name") ); CREATE TABLE IF NOT EXISTS "bookmark" ( "id" INTEGER PRIMARY KEY, "user_id" INTEGER NOT NULL REFERENCES "user" ON DELETE RESTRICT ON UPDATE RESTRICT, "slug" VARCHAR NOT NULL DEFAULT (Lower(Hex(Randomblob(6)))), "href" VARCHAR NOT NULL, "description" VARCHAR NOT NULL, "extended" VARCHAR NOT NULL, "time" TIMESTAMP NOT NULL, "shared" BOOLEAN NOT NULL, "to_read" BOOLEAN NOT NULL, "selected" BOOLEAN NOT NULL, "archive_href" VARCHAR NULL, CONSTRAINT "unique_user_href" UNIQUE ("user_id", "href"), CONSTRAINT "unique_user_slug" UNIQUE ("user_id", "slug") ); CREATE TABLE IF NOT EXISTS "bookmark_tag" ( "id" INTEGER PRIMARY KEY, "user_id" INTEGER NOT NULL REFERENCES "user" ON DELETE RESTRICT ON UPDATE RESTRICT, "tag" VARCHAR NOT NULL, "bookmark_id" INTEGER NOT NULL REFERENCES "bookmark" ON DELETE RESTRICT ON UPDATE RESTRICT, "seq" INTEGER NOT NULL, CONSTRAINT "unique_user_tag_bookmark_id" UNIQUE ("user_id", "tag", "bookmark_id"), CONSTRAINT "unique_user_bookmark_id_tag_seq" UNIQUE ("user_id", "bookmark_id", "tag", "seq") ); CREATE TABLE IF NOT EXISTS "note" ( "id" INTEGER PRIMARY KEY, "user_id" INTEGER NOT NULL REFERENCES "user" ON DELETE RESTRICT ON UPDATE RESTRICT, "slug" VARCHAR NOT NULL DEFAULT (Lower(Hex(Randomblob(10)))), "length" INTEGER NOT NULL, "title" VARCHAR NOT NULL, "text" VARCHAR NOT NULL, "is_markdown" BOOLEAN NOT NULL, "shared" BOOLEAN NOT NULL DEFAULT false, "created" TIMESTAMP NOT NULL, "updated" TIMESTAMP NOT NULL ); CREATE INDEX idx_bookmark_time ON bookmark (user_id, time DESC); CREATE INDEX idx_bookmark_tag_bookmark_id ON bookmark_tag (bookmark_id, id, tag, seq); CREATE INDEX idx_note_user_created ON note (user_id, created DESC); ``` |
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951185411 | MDU6SXNzdWU5NTExODU0MTE= | 1402 | feature request: social meta tags | fgregg 536941 | open | 0 | 2 | 2021-07-23T01:57:23Z | 2021-07-26T19:31:41Z | CONTRIBUTOR | it would be very nice if the twitter, slack, and other social media could make rich cards when people post a link to a datasette instance |
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1072106103 | I_kwDOBm6k_c4_5wp3 | 1542 | feature request: order and dependency of plugins (that use js) | fs111 33631 | open | 0 | 1 | 2021-12-06T12:40:45Z | 2021-12-15T17:47:08Z | NONE | I have been playing with datasette for the last couple of weeks and it is great! I am a big fan of Basically what would like to have is a way to say load my plugin after the plugins I depend on have been loaded and rendered. There seems to be no prior art where plugins have these dependencies on the js level so I was wondering if that could be added or if it exists how to do it. Basically what I want to do is: my-awesome-plugin has a dependency on datastte-cluster-map. Whenever datasette cluster map has finished rendering on page load, call my plugin, but no earlier. To make that work datasette probably needs some total order in which way plugins are loaded intialized. Since I am new to datastte, I may be missing something obvious, so please let me know if the above makes no sense. |
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2028698018 | I_kwDOBm6k_c5463mi | 2213 | feature request: gzip compression of database downloads | fgregg 536941 | open | 0 | 1 | 2023-12-06T14:35:03Z | 2023-12-06T15:05:46Z | CONTRIBUTOR | At the bottom of database pages, datasette gives users the opportunity to download the underlying sqlite database. It would be great if that could be served gzip compressed. this is similar to #1213, but for me, i don't need datasette to compress html and json because my CDN layer does it for me, however, cloudflare at least, will not compress a mimetype of "application" (see list of mimetype: https://developers.cloudflare.com/speed/optimization/content/brotli/content-compression/) |
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959137143 | MDU6SXNzdWU5NTkxMzcxNDM= | 1415 | feature request: document minimum permissions for service account for cloudrun | fgregg 536941 | open | 0 | 4 | 2021-08-03T13:48:43Z | 2023-11-05T16:46:59Z | CONTRIBUTOR | Thanks again for such a powerful project. For deploying to cloudrun from github actions, I'd like to create a service account with minimal permissions. It would be great to document what those minimum permission that need to be set in the IAM. |
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1001104942 | PR_kwDOBm6k_c4r-EVH | 1475 | feat: allow joins using _through in both directions | bram2000 5268174 | open | 0 | 0 | 2021-09-20T15:28:20Z | 2021-09-20T15:28:20Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1475 | Currently the This is an admittedly hacky change to implement bidirectional joins using |
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1268121674 | PR_kwDOBm6k_c45fz-O | 1757 | feat: add a wildcard for _json columns | ytjohn 163156 | open | 0 | 1 | 2022-06-11T01:01:17Z | 2022-09-06T00:51:21Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1757 | This allows _json to accept a wildcard for when there are many JSON columns that the user wants to convert. I hope this is useful. I've tested it on our datasette and haven't ran into any issues. I imagine on a large set of results, there could be some performance issues, but it will probably be negligible for most use cases. On a side note, I ran into an issue where I had to upgrade black on my system beyond the pinned version in setup.py. Here is the upstream issue <https://github.com/psf/black/issues/2964 . I didn't include this in the PR yet since I didn't look into the issue too far, but I can if you would like. |
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450032134 | MDU6SXNzdWU0NTAwMzIxMzQ= | 495 | facet_m2m gets confused by multiple relationships | simonw 9599 | open | 0 | 2 | 2019-05-29T21:37:28Z | 2020-12-17T05:08:22Z | OWNER | I got this for a database I was playing with: I think this is because of these three tables: |
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824750134 | MDU6SXNzdWU4MjQ3NTAxMzQ= | 1251 | facet option not appearing when table is big | verajosemanuel 15836677 | open | 0 | 0 | 2021-03-08T16:54:04Z | 2021-03-08T16:54:16Z | NONE | I have a big table with more than 500.000 rows. Trying to facet by one of my columns, the options are not available as for the other smaller tables. I have tried to set it in URL as:
to no avail. is there any limit? how can I force the option "facet" to appear for big tables? |
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1280799259 | I_kwDOBm6k_c5MV3Ib | 1761 | ensure_ascii=False | mustafa0x 1473102 | open | 0 | 0 | 2022-06-22T19:58:13Z | 2022-06-22T19:58:30Z | NONE | Hi, thanks for the project! For the JSON output, I would consider defaulting to |
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1426379903 | PR_kwDOBm6k_c5BtJNn | 1870 | don't use immutable=1, only mode=ro | fgregg 536941 | open | 0 | 7 | 2022-10-27T23:33:04Z | 2023-10-03T19:12:37Z | CONTRIBUTOR | simonw/datasette/pulls/1870 | Opening db files in immutable mode sometimes leads to the file being mutated, which causes duplication in the docker image layers: see #1836, #1480 That this happens in "immutable" mode is surprising, because the sqlite docs say that setting this should open the database as read only. https://www.sqlite.org/c3ref/open.html
Perhaps this is a bug in sqlite? :books: Documentation preview :books:: https://datasette--1870.org.readthedocs.build/en/1870/ |
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1400374908 | I_kwDOBm6k_c5TeAZ8 | 1836 | docker image is duplicating db files somehow | fgregg 536941 | open | 0 | 13 | 2022-10-06T22:35:54Z | 2022-10-08T16:56:51Z | CONTRIBUTOR | if you look into the docker image created by docker publish, the here's the result of the inspect command: |
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659873662 | MDU6SXNzdWU2NTk4NzM2NjI= | 898 | datasette.utils.testing module | simonw 9599 | open | 0 | 2 | 2020-07-18T03:53:24Z | 2020-07-18T03:57:46Z | OWNER | The unit tests for plugins could benefit from reusing code from Datasette's own testing fixtures, e.g.:
|
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1825007061 | I_kwDOBm6k_c5sx2XV | 2123 | datasette serve when invoked with --reload interprets the serve command as a file | cadeef 79087 | open | 0 | 2 | 2023-07-27T19:07:22Z | 2023-09-18T13:02:46Z | NONE | When running
If a 'serve' file is created it launches properly (albeit with an empty database called serve):
Version (running from HEAD on main):
This issue appears to have existed for awhile as https://github.com/simonw/datasette/issues/1380#issuecomment-953366110 mentions the error in a different context. I'm happy to debug and land a patch if it's welcome. |
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317001500 | MDU6SXNzdWUzMTcwMDE1MDA= | 236 | datasette publish lambda plugin | simonw 9599 | open | 0 | 11 | 2018-04-23T22:10:30Z | 2023-03-12T14:04:15Z | OWNER | Refs #217 - create a publish plugin that can deploy to AWS Lambda. https://docs.aws.amazon.com/lambda/latest/dg/limits.html says lambda packages can be up to 50 MB, so this would only work with smaller databases (the command can check the filesize before attempting to package and deploy it). Lambdas do get a 512 MB |
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1452572348 | I_kwDOBm6k_c5WlH68 | 1900 | datasette package --spatialite throws error during build | rdmurphy 419145 | open | 0 | 11 | 2022-11-17T02:03:28Z | 2022-11-18T08:00:38Z | NONE | Hello! Attempting to use
Seems to be throwing when this step is ran:
This is with |
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1605959201 | I_kwDOBm6k_c5fuP4h | 2032 | datasette errors when foreign key integrity is enabled | cldellow 193185 | open | 0 | 0 | 2023-03-02T01:27:51Z | 2023-03-02T01:31:58Z | CONTRIBUTOR | By default, SQLite does not enforce foreign key constraints. I typically enable these checks by running:
inside of a If a plugin causes the schema to change (eg datasette-scraper creating a new table, or datasette-edit-schema changing a column), then https://github.com/simonw/datasette/blob/0b4a28691468b5c758df74fa1d72a823813c96bf/datasette/utils/internal_db.py#L71-L77 will fail with:
This could be resolved by either:
- deleting from the Let me know if you'd be open to a PR that addresses this -- since foreign key constraints aren't enabled by default, I guess it's questionable whether this is a bug. I think I can workaround this by inspecting the database parameter in |
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1865649347 | I_kwDOBm6k_c5vM4zD | 2156 | datasette -s/--setting option for setting nested configuration options | simonw 9599 | open | 0 | 4 | 2023-08-24T18:09:27Z | 2023-08-28T19:33:05Z | OWNER |
|
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910088936 | MDU6SXNzdWU5MTAwODg5MzY= | 1355 | datasette --get should efficiently handle streaming CSV | simonw 9599 | open | 0 | 2 | 2021-06-03T04:40:40Z | 2022-03-20T22:38:53Z | OWNER | It would be great if you could use Current implementation looks like it loads the entire result into memory first: https://github.com/simonw/datasette/blob/f78ebdc04537a6102316d6dbbf6c887565806078/datasette/cli.py#L546-L552 |
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1808116827 | I_kwDOBm6k_c5rxaxb | 2103 | data attribute on Datasette tables exposing the primary key of the row | simonw 9599 | open | 0 | 0 | 2023-07-17T16:18:25Z | 2023-07-17T16:18:25Z | OWNER | Maybe put it on the |
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1977726056 | I_kwDOBm6k_c514bRo | 2203 | custom plugin not seen as sql function | LyzardKing 7113541 | open | 0 | 0 | 2023-11-05T10:30:19Z | 2023-11-05T10:30:19Z | NONE | Hi, I'm not sure if this is the right repo for this issue. I'm using datasette with the parquet (to read a duckdb), and jellyfish plugins. Both work perfectly. Now I need to create a simple plugin that uses the python rouge package and returns a similarity score (similarly to how the jellyfish plugin works).
If I create a custom plugin, even the example hello_world one, copied directly from the tutorial, I get the following error:
Since the jellyfish plugin doesn't do anything more complex, I'm wondering if there is some other kind of issue with my setup. |
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1090810196 | I_kwDOBm6k_c5BBHFU | 1583 | consider adding deletion step of cloudbuild artifacts to gcloud publish | fgregg 536941 | open | 0 | 1 | 2021-12-30T00:33:23Z | 2021-12-30T00:34:16Z | CONTRIBUTOR | right now, as part of the the publish process images and other artifacts are stored to gcloud's cloud storage before being deployed to cloudrun. after successfully deploying, it would be nice if the the script deleted these artifacts. otherwise, if you have regularly scheduled build process, you can end up paying to store lots of out of date artifacts. |
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988552851 | MDU6SXNzdWU5ODg1NTI4NTE= | 1456 | conda install results in non-functioning `datasette serve` due to out-of-date asgiref | ctb 51016 | open | 0 | 0 | 2021-09-05T16:59:55Z | 2021-09-05T16:59:55Z | CONTRIBUTOR | Over in https://github.com/ctb/2021-sourmash-datasette, I discovered that the following commands fail:
This appears to be because asgiref 3.3.4 doesn't have WebSocketScope, but later versions do - a simple
fixes the problem for me, at least to the point where I can run datasette and poke around as usual. I note that over in the conda-forge recipe, https://github.com/conda-forge/datasette-feedstock/blob/master/recipe/meta.yaml pins asgiref to < 3.4.0, but I'm not sure why - so I'm not sure how to best resolve this issue :). |
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991191951 | MDU6SXNzdWU5OTExOTE5NTE= | 1464 | clean checkout & clean environment has test failures | ctb 51016 | open | 0 | 6 | 2021-09-08T14:16:23Z | 2021-09-13T22:17:17Z | CONTRIBUTOR | I followed the instructions here, and even after running
This is with python 3.9.7 and lots of other packages, as in attached environment listing from |
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1129052172 | I_kwDOBm6k_c5DS_gM | 1633 | base_url or prefix does not work with _exact match | henrikek 6613091 | open | 0 | 2 | 2022-02-09T21:45:07Z | 2022-04-28T09:12:56Z | NONE | When i hit "Apply" button to search with "_exact" for a column syntax the URL prefix is removed from the url. And the result is: If I add the marked row to url_builder.py it seams to work: |
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999902754 | I_kwDOBm6k_c47mU4i | 1473 | base logo link visits `undefined` rather than href url | mroswell 192568 | open | 0 | 2 | 2021-09-18T04:17:04Z | 2021-09-19T00:45:32Z | CONTRIBUTOR | I have two connected sites: http://www.SaferOrToxic.org (a Hugo website) and: http://disinfectants.SaferOrToxic.org/disinfectants/listN (a datasette table page) The latter is linked as "The List" in the former's menu. (I'd love a prettier URL, but that's what I've got.) On: http://disinfectants.SaferOrToxic.org/disinfectants/listN ... all the other menu links should point back to: https://www.SaferOrToxic.org And they do! But the logo, for some reason--though it has an href pointing to: https://www.SaferOrToxic.org Keeps going to this instead: https://disinfectants.saferortoxic.org/disinfectants/undefined What is causing that? How can I fix it? In #1284 back in March, I was doing battle with the index.html template, in a still unresolved issue. (I wanted only a single table page at the root.) But I thought, well, if I can't resolve that, at least I could just point the main website to the datasette page ("The List,") and then have the List point back to the home website. The menu hrefs to https://www.SaferOrToxic.org work just fine, exactly as they should, from the datasette page. Even the Home link works properly. But the logo link keeps rewriting to: https://disinfectants.saferortoxic.org/disinfectants/undefined This is the HTML:
Is this somehow related to cloudflare? Or something in the datasette code? I'm starting to think it's a cloudflare issue. Can I at least rule out it being a datasette issue? My repository is here: https://github.com/mroswell/list-N (BTW, I couldn't figure out how to reference a local image, either, on the datasette side, which is why I'm using the image from the www home page.) |
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1560982210 | PR_kwDOBm6k_c5IvYKw | 2008 | array facet: don't materialize unnecessary columns | cldellow 193185 | open | 0 | 8 | 2023-01-28T19:33:40Z | 2023-01-29T18:17:40Z | CONTRIBUTOR | simonw/datasette/pulls/2008 | The presence of Instead, we can select only the column we'll use. This lets SQLite's optimizer realize that the other columns in the CTE definition aren't needed. On a test table with 278K rows, 98K of which had an array, this speeds up the facet calculation from 4 sec to 1 sec. :books: Documentation preview :books:: https://datasette--2008.org.readthedocs.build/en/2008/ |
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1803264272 | I_kwDOBm6k_c5re6EQ | 2101 | alter: true support for JSON write API | simonw 9599 | open | 0 | 1 | 2023-07-13T15:24:11Z | 2023-07-13T15:24:18Z | OWNER | Requested here: https://discord.com/channels/823971286308356157/823971286941302908/1129034187073134642
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843884745 | MDU6SXNzdWU4NDM4ODQ3NDU= | 1283 | advanced #export causes unexpected scrolling | mroswell 192568 | open | 0 | 0 | 2021-03-29T22:46:57Z | 2021-03-29T22:46:57Z | CONTRIBUTOR |
The user remedy seems to be to manually remove the "#export" from the URL. This behavior happens in my project, and in: https://covid-19.datasettes.com/covid/economist_excess_deaths (for instance) but not in this table: https://global-power-plants.datasettes.com/global-power-plants/global-power-plants |
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991206402 | MDExOlB1bGxSZXF1ZXN0NzI5NzA0NTM3 | 1465 | add support for -o --get /path | ctb 51016 | open | 0 | 0 | 2021-09-08T14:30:42Z | 2021-09-08T14:31:45Z | CONTRIBUTOR | simonw/datasette/pulls/1465 | Fixes https://github.com/simonw/datasette/issues/1459 Adds support for If TODO items:
- [ ] update documentation
- [ ] print out error message when note, '@CTB' is used in this PR to flag code that needs revisiting. |
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1865983069 | PR_kwDOBm6k_c5YvQSi | 2158 | add brand option to metadata.json. | publicmatt 52261150 | open | 0 | 0 | 2023-08-24T22:37:41Z | 2023-08-24T22:37:57Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2158 | This adds a brand link to the top navbar if 'brand' key is populated in metadata.json. The link will be either '#' or use the contents of 'brand_url' in metadata.json for href. I was able to get this done on my own site by replacing :books: Documentation preview :books:: https://datasette--2158.org.readthedocs.build/en/2158/ |
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959710008 | MDU6SXNzdWU5NTk3MTAwMDg= | 1419 | `publish cloudrun` should deploy a more recent SQLite version | fgregg 536941 | open | 0 | 3 | 2021-08-04T00:45:55Z | 2021-08-05T03:23:24Z | CONTRIBUTOR | I recently changed from deploying a datasette using I suspect this is because they are running different versions of sqlite3.
If so, it would be great to
|
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1142107925 | I_kwDOBm6k_c5EEy8V | 1638 | `filters_from_request` plugin hook docs should mention that returning an async function is allowed | simonw 9599 | open | 0 | 0 | 2022-02-18T00:08:26Z | 2022-02-18T00:08:26Z | OWNER | https://docs.datasette.io/en/stable/plugin_hooks.html#filters-from-request-request-database-table-datasette doesn't mention that you can return an |
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1337541526 | I_kwDOBm6k_c5PuUOW | 1780 | `facet_time_limit_ms` and `sql_time_limit_ms` overlap? | davepeck 53165 | open | 0 | 1 | 2022-08-12T17:55:37Z | 2022-08-15T23:50:08Z | NONE | I needed more than the default 200ms to facet a specific column in a database I was working with, so I ran But it still didn't work; it took a moment to realize I also needed to up my I'm happy to submit a PR that documents this behavior if it's helpful. Or, if there's a code change we'd like to make (like making sure Apologies if I missed this somewhere in the docs. And: thanks. I'm really enjoying the simple, effective tooling datasette gives me out of the box for exploring my databases! |
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1557507274 | I_kwDOBm6k_c5c1azK | 2005 | `extra_template_vars` should be OK to return `None` | simonw 9599 | open | 0 | 1 | 2023-01-26T01:40:45Z | 2023-01-26T01:41:50Z | OWNER | Got this exception and had to make sure it always returned
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1216479167 | I_kwDOBm6k_c5Igf-_ | 1722 | `db.primary_keys()` and `db.table_columns()` don't show up in traces | simonw 9599 | open | 0 | 0 | 2022-04-26T21:08:36Z | 2022-04-26T21:08:36Z | OWNER | Noticed this while working on: - #1715 This code here isn't showing up in traces: https://github.com/simonw/datasette/blob/579f59dcec43a91dd7d404e00b87a00afd8515f2/datasette/views/table.py#L218-L220 Because those functions don't use the regular trace-instrumented |
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1237871948 | I_kwDOBm6k_c5JyG1M | 1743 | `datasette.utils.to_css_class()` should be a documented internal | simonw 9599 | open | 0 | 0 | 2022-05-16T23:57:26Z | 2022-05-16T23:57:26Z | OWNER | Because I'm using it in this plugin: - https://github.com/simonw/datasette-upload-dbs/issues/1 |
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1907765514 | I_kwDOBm6k_c5xtjEK | 2195 | `datasette publish` needs support for the new config/metadata split | simonw 9599 | open | 0 | 9 | 2023-09-21T21:08:12Z | 2023-09-21T22:57:48Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/2194#issuecomment-1730259871 |
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1378636455 | I_kwDOBm6k_c5SLFKn | 1815 | `datasette publish provider .` to publish whole directory, similar to configuration directory mode | simonw 9599 | open | 0 | 0 | 2022-09-19T23:28:59Z | 2022-09-19T23:29:11Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette-publish-fly/issues/23#issuecomment-1251673489 |
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1551113681 | I_kwDOBm6k_c5cdB3R | 1998 | `datasette --version` should also show the SQLite version | simonw 9599 | open | 0 | 2 | 2023-01-20T16:11:30Z | 2023-01-20T18:19:06Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1998/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1571711808 | I_kwDOBm6k_c5drmtA | 2018 | `check_visibility` gives confusing (wrong?) results if permission is `None` | cldellow 193185 | open | 0 | 0 | 2023-02-06T01:03:08Z | 2023-02-06T01:03:46Z | CONTRIBUTOR | I'm trying to gate access to an edit UI on the user having I expected datasette.check_visibility to be a good way to do this: ```python visible, private = await datasette.check_visibility( request.actor, permissions=[ ("update-row", (database, table)), ], )
``` But Based on the update-row permissions docs, I expected this to be default deny, and so no explicit permission would result in false. I think the root cause is that But |
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1649793525 | I_kwDOBm6k_c5iVdn1 | 2051 | `?_extra=row_urls` for table pages | simonw 9599 | open | 0 | 0 | 2023-03-31T17:58:36Z | 2023-03-31T17:58:36Z | OWNER | Provides URLs to the JSON version of those rows. Maybe it persists the |
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1490576818 | I_kwDOBm6k_c5Y2GWy | 1943 | `/-/permissions` should list available permissions | simonw 9599 | open | 0 | Datasette 1.0a-next 8755003 | 1 | 2022-12-11T23:38:03Z | 2022-12-15T00:41:37Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/datasette/issues/1939#issuecomment-1345691103 |
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1493471221 | I_kwDOBm6k_c5ZBI_1 | 1949 | `.json` errors should be returned as JSON | simonw 9599 | open | 0 | Datasette 1.0a-next 8755003 | 10 | 2022-12-13T06:14:12Z | 2022-12-15T00:46:27Z | OWNER | Eg the error in this issue: - #1945 |
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1765870617 | I_kwDOBm6k_c5pQQwZ | 2087 | `--settings settings.json` option | simonw 9599 | open | 0 | 2 | 2023-06-20T17:48:45Z | 2023-07-14T17:02:03Z | OWNER | https://discord.com/channels/823971286308356157/823971286941302908/1120705940728066080
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1516815571 | I_kwDOBm6k_c5aaMTT | 1975 | _col=id can cause id column to export twice in CSV export | simonw 9599 | open | 0 | 0 | 2023-01-03T00:25:15Z | 2023-01-03T00:25:21Z | OWNER |
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1182227211 | I_kwDOBm6k_c5Gd1sL | 1692 | [plugins][feature request]: Support additional script tag attributes when loading custom JS | hydrosquall 9020979 | open | 0 | 2 | 2022-03-27T01:16:03Z | 2022-03-30T06:14:51Z | CONTRIBUTOR | Motivation
To be able to support legacy browsers without slowing down users with modern browsers, I would like to be able to set additional HTML attributes on the tag fallback script, ```html <script type="module" src="/index.my-es-module-bundle.js"></script> <script src="/index.my-legacy-fallback-bundle.js" nomodule="" defer></script>``` ProposalTo achieve this, I propose additional optional properties to the API accepted by the Under this API, I'd write something like this to get the above HTML rendered in Datasette.
Resources
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1198822563 | I_kwDOBm6k_c5HdJSj | 1706 | [feature] immutable mode for a directory, not just individual sqlite file | hydrosquall 9020979 | open | 0 | 4 | 2022-04-10T00:50:57Z | 2022-12-09T19:11:40Z | CONTRIBUTOR | Motivation
ProposalImmutable flag works for both single files and directories
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1200224939 | I_kwDOBm6k_c5Hifqr | 1707 | [feature] expanded detail page | fgregg 536941 | open | 0 | 1 | 2022-04-11T16:29:17Z | 2022-04-11T16:33:00Z | CONTRIBUTOR | Right now, if click on the detail page for a row you get the info for the row and links to related tables: It would be very cool if there was an option to expand the rows of the related tables from within this detail view. If you had that then datasette could fulfill a pretty common use case where you want to search for an entity and get a consolidate detail view about what you know about that entity. |
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1698865182 | I_kwDOBm6k_c5lQqAe | 2069 | [BUG] Cannot insert new data to deployed instance | yqlbu 31861128 | open | 0 | 1 | 2023-05-07T02:59:42Z | 2023-05-07T03:17:35Z | NONE | SummaryRecently, I deployed an instance of datasette to Vercel with the following plugins:
With the above plugins, I was able to insert new data to local sqlite db. However, when it comes to the deployment on Vercel, things behave differently. I observed some errors from the logs console on Vercel:
I think it is a potential bug. Reproducemetadata.json```json { "plugins": { "datasette-insert": { "allow": { "id": "*" } }, "datasette-auth-tokens": { "tokens": [ { "token": { "$env": "INSERT_TOKEN" }, "actor": { "id": "repeater" } } ], "param": "_auth_token" } } } ``` commands```bash # deploy datasette publish vercel remote.db \ --project=repeater-bot-sqlite \ --metadata metadata.json \ --install datasette-auth-tokens \ --install datasette-insert \ --vercel-json=vercel.json # test insert cat fixtures/dogs.json | curl --request POST -d @- -H "Authorization: Bearer <token>" \ 'https://repeater-bot-sqlite.vercel.app/-/insert/remote/dogs?pk=id' ``` logs```console Traceback (most recent call last): File "/var/task/datasette/app.py", line 1354, in route_path response = await view(request, send) File "/var/task/datasette/app.py", line 1500, in async_view_fn response = await async_call_with_supported_arguments( File "/var/task/datasette/utils/__init__.py", line 1005, in async_call_with_supported_arguments return await fn(*call_with) File "/var/task/datasette_insert/__init__.py", line 14, in insert_or_upsert response = await insert_or_upsert_implementation(request, datasette) File "/var/task/datasette_insert/__init__.py", line 91, in insert_or_upsert_implementation table_count = await db.execute_write_fn(write_in_thread, block=True) File "/var/task/datasette/database.py", line 167, in execute_write_fn raise result File "/var/task/datasette/database.py", line 179, in _execute_writes conn = self.connect(write=True) File "/var/task/datasette/database.py", line 93, in connect assert not (write and not self.is_mutable) AssertionError ``` |
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632724154 | MDU6SXNzdWU2MzI3MjQxNTQ= | 805 | Writable canned queries live demo on Glitch | simonw 9599 | open | 0 | 11 | 2020-06-06T20:52:13Z | 2020-07-01T22:44:01Z | OWNER | Needs to run somewhere with a mutable disk drive, so not Cloud Run or Heroku or Vercel. I think I'll put it on Glitch. |
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1010112818 | I_kwDOBm6k_c48NRky | 1479 | Win32 "used by another process" error with datasette publish | kirajano 76450761 | open | 0 | 7 | 2021-09-28T19:12:00Z | 2023-09-07T02:14:16Z | NONE | I unfortunately was not successful to deploy to fly.io. Please see the details above of the three scenarios that I took. I am also new to datasette. Failed to deploy. Attaching logs:
1. Tried with an app created via Error error connecting to docker: An unknown error occured. Traceback (most recent call last): File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main__.py", line 7, in <module> File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly__init__.py", line 156, in fly "--remote-only", File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils__init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpgcm8cz66\frosty-fog-8565' ```
Error not possible to validate configuration: server returned Post "https://api.fly.io/graphql": unexpected EOF Traceback (most recent call last):
File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main These are also the contents of the generated .toml file in 2 scenario: ``` fly.toml file generated for dark-feather-168 on 2021-09-28T20:35:44+02:00app = "dark-feather-168" kill_signal = "SIGINT" kill_timeout = 5 processes = [] [env] [experimental] allowed_public_ports = [] auto_rollback = true [[services]] http_checks = [] internal_port = 8080 processes = ["app"] protocol = "tcp" script_checks = [] [services.concurrency] hard_limit = 25 soft_limit = 20 type = "connections" [[services.ports]] handlers = ["http"] port = 80 [[services.ports]] handlers = ["tls", "http"] port = 443 [[services.tcp_checks]] grace_period = "1s" interval = "15s" restart_limit = 6 timeout = "2s" ```
```[+] Building 147.3s (11/11) FINISHED => [internal] load build definition from Dockerfile 0.2s => => transferring dockerfile: 396B 0.0s => [internal] load .dockerignore 0.1s => => transferring context: 2B 0.0s => [internal] load metadata for docker.io/library/python:3.8 4.7s => [auth] library/python:pull token for registry-1.docker.io 0.0s => [internal] load build context 0.1s => => transferring context: 82.37kB 0.0s => [1/5] FROM docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3 108.3s => => resolve docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5 0.0s => => sha256:56182bcdf4d4283aa1f46944b4ef7ac881e28b4d5526720a4e9ba03a4730846a 2.22kB / 2.22kB 0.0s => => sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 54.93MB / 54.93MB 21.6s => => sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 10.87MB / 10.87MB 15.5s => => sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5c5b6 1.86kB / 1.86kB 0.0s => => sha256:ff08f08727e50193dcf499afc30594c47e70cc96f6fcfd1a01240524624264d0 8.65kB / 8.65kB 0.0s => => sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 5.15MB / 5.15MB 6.4s => => sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 54.57MB / 54.57MB 37.7s => => sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 196.45MB / 196.45MB 82.3s => => sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 6.29MB / 6.29MB 26.6s => => extracting sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 5.4s => => sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 16.81MB / 16.81MB 40.5s => => extracting sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 0.6s => => extracting sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 0.6s => => sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 232B / 232B 40.1s => => extracting sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 5.8s => => sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 2.35MB / 2.35MB 41.8s => => extracting sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 18.8s => => extracting sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 1.2s => => extracting sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 2.9s => => extracting sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 0.0s => => extracting sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 0.8s => [2/5] COPY . /app 2.3s => [3/5] WORKDIR /app 0.2s => [4/5] RUN pip install -U datasette 26.9s => [5/5] RUN datasette inspect covid.db --inspect-file inspect-data.json 3.1s => exporting to image 1.2s => => exporting layers 1.2s => => writing image sha256:b5db0c205cd3454c21fbb00ecf6043f261540bcf91c2dfc36d418f1a23a75d7a 0.0s Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them Traceback (most recent call last): "main", mod_spec) File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main__.py", line 7, in <module> File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette\cli.py", line 283, in package call(args) File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils__init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpkb27qid3\datasette'``` |
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1811824307 | I_kwDOBm6k_c5r_j6z | 2105 | When reverse proxying datasette with nginx an URL element gets erronously added | aki-k 2235371 | open | 0 | 3 | 2023-07-19T12:16:53Z | 2023-07-21T21:17:09Z | NONE | I use this nginx config: ``` location /datasette-llm { return 302 /datasette-llm/; }
https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.json?sql=select+*+from+_llm_migrations https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.csv?sql=select+*+from+_llm_migrations&_size=max When I remove that extra "datasette-llm" from the URL, those links work too. |
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613422636 | MDU6SXNzdWU2MTM0MjI2MzY= | 760 | Way of seeing full schema for a database | simonw 9599 | open | 0 | 3 | 2020-05-06T15:46:08Z | 2020-05-06T23:49:06Z | OWNER | I find myself wanting to quickly figure out all of the BLOB columns in a database. A It would need to be carefully constructed from various queries against |
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793002853 | MDExOlB1bGxSZXF1ZXN0NTYwNzYwMTQ1 | 1204 | WIP: Plugin includes | simonw 9599 | open | 0 | 3 | 2021-01-25T03:59:06Z | 2021-12-17T07:10:49Z | OWNER | simonw/datasette/pulls/1204 | Refs #1191 Next steps:
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696908389 | MDU6SXNzdWU2OTY5MDgzODk= | 961 | Verification checks for metadata.json on startup | simonw 9599 | open | 0 | 2 | 2020-09-09T15:21:53Z | 2020-09-09T15:24:31Z | OWNER | I lost a bunch of time yesterday trying to figure out why a Datasette instance wasn't starting up - it turned out it was because I had a Catching these on startup would be good. |
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811054000 | MDU6SXNzdWU4MTEwNTQwMDA= | 1230 | Vega charts are plotted only for rows on the visible page, cluster maps only for rows in the remaining pages | Kabouik 7107523 | open | 0 | 1 | 2021-02-18T12:27:02Z | 2021-02-18T15:22:15Z | NONE | I filtered a data set on some criteria and obtain 265 results, split over three pages (100, 100, 65), and reazlized that Vega plots are only applied to the results displayed on the current page, instead of the whole filtered data, e.g., 100 on page 1, 100 on page 2, 65 on page 3. Is there a way to force the graphs to consider all results instead of just the page, considering that pages rarely represent sensible information? Likewise, while the cluster map does show all results on the first page, if you go to next pages, it will show all remaining results except the previous page(s), e.g., 265 on page 1, 165 on page 2, 65 on page 3. In both cases, I don't see many situations where one would like to represent the data this way, and it might even lead to interpretation errors when viewing the data. Am I missing some cases where this would be best? Perhaps a clickable option to subset visual representations according visible pages vs. display all search results would do? [Edit] Oh, I just saw the "Load all" button under the cluster map as well as the setting to alter the max number or results. So I guess this issue only is about the Vega charts. |
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323223872 | MDU6SXNzdWUzMjMyMjM4NzI= | 260 | Validate metadata.json on startup | simonw 9599 | open | 0 | 7 | 2018-05-15T13:42:56Z | 2023-06-21T12:51:22Z | OWNER | It's easy to misspell the name of a database or table and then be puzzled when the metadata settings silently fail. To avoid this, let's sanity check the provided metadata.json on startup and quit with a useful error message if we find any obvious mistakes. |
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779156520 | MDU6SXNzdWU3NzkxNTY1MjA= | 1175 | Use structlog for logging | simonw 9599 | open | 0 | 4 | 2021-01-05T15:11:36Z | 2022-07-26T12:52:10Z | OWNER | To solve #241 JSON logging. |
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268110769 | MDU6SXNzdWUyNjgxMTA3Njk= | 33 | Use locust for benchmarking and load tests | simonw 9599 | open | 0 | 0 | 2017-10-24T17:00:09Z | 2017-12-10T03:12:16Z | OWNER | https://github.com/locustio/locust Needed for #32 |
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1065429936 | I_kwDOBm6k_c4_gSuw | 1532 | Use datasette-table Web Component to guide the design of the JSON API for 1.0 | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 4 | 2021-11-28T20:37:18Z | 2022-03-16T20:13:34Z | OWNER | I realized that one of the reasons I'm having trouble committing to nailing down the JSON API for 1.0 is that I don't use it much myself - I use the As an experiment I built a Web Component for embedding Datasette tables on pages - https://github.com/simonw/datasette-table - and I think it's actually going to be a really useful tool for helping me dog food the v1.0 API design. |
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837956424 | MDExOlB1bGxSZXF1ZXN0NTk4MjEzNTY1 | 1271 | Use SQLite conn.interrupt() instead of sqlite_timelimit() | simonw 9599 | open | 0 | 3 | 2021-03-22T17:34:20Z | 2021-03-22T21:49:27Z | OWNER | simonw/datasette/pulls/1271 | Refs #1270, #1268, #1249 Before merging this I need to do some more testing (to make sure that expensive queries really are properly cancelled). I also need to delete a bunch of code relating to the old mechanism of cancelling queries. [See comment below: this doesn't actually cancel the query due to a thread-local confusion] |
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400340905 | MDU6SXNzdWU0MDAzNDA5MDU= | 402 | Use SQLITE_DBCONFIG_DEFENSIVE plus other recommendations from SQLite security docs | simonw 9599 | open | 0 | 3 | 2019-01-17T15:52:28Z | 2019-01-17T16:15:21Z | OWNER |
https://twitter.com/ignoredambience/status/1085926961413869568 |
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