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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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267515678 | MDU6SXNzdWUyNjc1MTU2Nzg= | 3 | Make individual column valuables addressable, with smart content types | simonw 9599 | open | 0 | 1 | 2017-10-23T01:11:32Z | 2017-12-10T03:11:58Z | OWNER | Some SQLite databases embed images in columns. It would be cool if these had URLs.
The one without an explicit file extension auto-detects the correct extension. |
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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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274615452 | MDU6SXNzdWUyNzQ2MTU0NTI= | 111 | Add “updated” to metadata | simonw 9599 | open | 0 | 12 | 2017-11-16T18:22:20Z | 2021-09-21T22:48:27Z | OWNER | To give an indication as to when the data was last updated. This should be a field in the metadata that is then shown on the index page and in the footer, if it is set. Also support setting it using an option to “datasette publish” and “datasette package” - which can either be a string or can be the magic string “today” to set it to today’s date:
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275125561 | MDU6SXNzdWUyNzUxMjU1NjE= | 123 | Datasette serve should accept paths/URLs to CSVs and other file formats | simonw 9599 | open | 0 | 9 | 2017-11-19T02:05:48Z | 2021-07-19T00:04:32Z | OWNER | This would remove the csvs-to-sqlite step which I end up using for almost everything. I'm hesitant to introduce pandas as a required dependency though since it require compiling numpy. Could build it so this option is only available if you have pandas installed. |
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275159710 | MDU6SXNzdWUyNzUxNTk3MTA= | 128 | Every visualization should have an "embed" button | simonw 9599 | open | 0 | 0 | 2017-11-19T13:38:13Z | 2019-05-13T18:33:51Z | OWNER | At least for the first round of visualizations, any time you construct one using the UI the result should include an "embed this" button that returns source code to copy and paste These examples should use unpkg.com (or similarl) urls with SRI hashes, eg https://www.srihash.org - and should load data from the datasette JSON API. |
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275415799 | MDU6SXNzdWUyNzU0MTU3OTk= | 137 | Ability to combine multiple SQL queries on a single graph | simonw 9599 | open | 0 | 1 | 2017-11-20T16:26:57Z | 2019-05-13T18:33:51Z | OWNER | This would make visualizations significantly more powerful. The interesting challenge will be around the URL design. It would be useful to be able to combine either multiple explicit SQL queries or multiple queries based on the filter string parameters passed to one or more table views. |
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275755475 | MDU6SXNzdWUyNzU3NTU0NzU= | 140 | Heatmap visualization plugin | simonw 9599 | open | 0 | 2 | 2017-11-21T15:34:23Z | 2019-05-13T18:33:51Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/140/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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281110295 | MDU6SXNzdWUyODExMTAyOTU= | 173 | I18n and L10n support | janimo 50138 | open | 0 | 2 | 2017-12-11T17:49:58Z | 2021-04-26T12:10:01Z | NONE | It would be less geeky and more user friendly if the display strings in the filter menu and possibly other parts could be localized. |
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285168503 | MDU6SXNzdWUyODUxNjg1MDM= | 176 | Add GraphQL endpoint | yozlet 173848 | open | 0 | 8 | 2017-12-29T23:21:01Z | 2020-04-21T14:16:24Z | NONE | Would make it much easier to build React & similar frontends. Maybe with https://github.com/graphql-python/sanic-graphql ? |
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288438570 | MDU6SXNzdWUyODg0Mzg1NzA= | 179 | More metadata options for template authors | simonw 9599 | open | 0 | 2 | 2018-01-14T20:51:04Z | 2019-05-13T18:33:33Z | OWNER | See this thread on Twitter: https://twitter.com/simonw/status/952637152797458432 |
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299760684 | MDU6SXNzdWUyOTk3NjA2ODQ= | 185 | Metadata should be a nested arbitrary KV store | carlmjohnson 222245 | open | 0 | 12 | 2018-02-23T16:02:07Z | 2019-05-13T18:33:33Z | NONE | I started using the metadata feature and was surprised to find that values are not inherited from the root object down to specific databases and tables. This makes metadata much less useful and requires a lot of pointless duplication. Ideally, metadata should allow arbitrary key-value pairs, and there should be a way of accessing metadata either in an inherited or non-inherited manner. Something like |
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309047460 | MDU6SXNzdWUzMDkwNDc0NjA= | 188 | Ability to bundle metadata and templates inside the SQLite file | simonw 9599 | open | 0 | 4 | 2018-03-27T16:42:07Z | 2020-12-04T17:18:34Z | OWNER | One of the nicest qualities of SQLite as a data format is that you get a single file which you can then backup or share with other people. Datasette breaks this a little once you start including custom metadata.json or template files and CSS. It would be cool if there was an optional mechanism for baking that extra configuration into the SQLite file itself. That way entire datasette mini-applications (including canned queries and custom HTML and CSS) could be constructed as single .db files. Since datasette configuration is all file-based, one way to achieve that would be to support a "datasette_files" table which, if present is used to search for file contents by path. This is inline with the philosophy described by https://www.sqlite.org/appfileformat.html |
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312395790 | MDU6SXNzdWUzMTIzOTU3OTA= | 197 | Ability to sort by more than one column | simonw 9599 | open | 0 | 0 | 2018-04-09T05:13:30Z | 2018-07-10T17:45:37Z | OWNER | Split off from #189. I'd like to support "sort by X descending, then by Y ascending if there are dupes for X" as well. Suggested syntax for that:
we currently only allow one argument to be sent. We should allow as many arguments as there are columns, for example:
|
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312396095 | MDU6SXNzdWUzMTIzOTYwOTU= | 198 | Ability to sort with nulls last | simonw 9599 | open | 0 | 0 | 2018-04-09T05:15:40Z | 2018-07-10T17:45:37Z | OWNER | Split off from #189 Here's how to do that in SQL: https://fivethirtyeight.datasettes.com/fivethirtyeight-2628db9?sql=select+rowid%2C+*+from+%5Bnfl-wide-receivers%2Fadvanced-historical%5D%0D%0Aorder+by+case+when+career_ranypa+is+null+then+1+else+0+end%2C+career_ranypa%2C+rowid
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314771615 | MDU6SXNzdWUzMTQ3NzE2MTU= | 218 | Support custom unit display in order to handle "$10,000" | simonw 9599 | open | 0 | 0 | 2018-04-16T18:39:31Z | 2018-07-10T17:45:38Z | OWNER | I tried to get Datasette to display It would be neat if there was a mechanism for specifying a custom unit display - maybe something like this:
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314834783 | MDU6SXNzdWUzMTQ4MzQ3ODM= | 219 | Expose units in the JSON API? | russss 45057 | open | 0 | 0 | 2018-04-16T22:04:25Z | 2018-04-16T22:04:25Z | CONTRIBUTOR | From #203: it would be nice for the JSON API to (optionally) return columns rendered with units in them - if, for example, you're consuming the JSON to render the rows on a map. I'm not entirely sure how useful this will be though - at the moment my map queries are custom SQL queries (a few have joins in, the rest might be fetching large amounts of data so it makes sense to limit columns fetched). Perhaps the SQL function is a better approach in general. |
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316621102 | MDU6SXNzdWUzMTY2MjExMDI= | 235 | Add limit on the size in KB of data returned from a single query | simonw 9599 | open | 0 | 2 | 2018-04-22T23:01:15Z | 2018-04-24T00:30:02Z | OWNER | Datasette limits the number of rows returned to 1,000 and limits the time spent executing a SQL query to 1000ms - and both of these limits can be customized. It does not have a limit on the size of the response returned. It's possible to compose maliciously large SQL responses in a small number of rows using mechanisms like the I think the easiest place to implement that is here: Currently we use The bigger challenge here is understanding how well this approach works and what impact it will have on overall Datasette performance. I think I need #33 for this. |
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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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318490133 | MDU6SXNzdWUzMTg0OTAxMzM= | 241 | Default datasette logging format should be JSON | simonw 9599 | open | 0 | 0 | 2018-04-27T17:32:48Z | 2018-07-10T17:45:40Z | OWNER | Structured logs are better. Datasette should default to outputting it's HTTP access log lines as newline delimited JSON instead of the Sanic default format it uses at the moment. For improved greppability these logs should have keys ordered in a consistent way. Python's JSON module can do this with ordered dictionaries. |
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319449852 | MDU6SXNzdWUzMTk0NDk4NTI= | 247 | SQLite code decoupled from Datasette | jsancho-gpl 11912854 | open | 0 | 1 | 2018-05-02T08:03:28Z | 2018-05-21T15:29:31Z | NONE | I'm working on the possibility of use Datasette with other file formats that aren't SQLite, like files with PyTables format. In order to accomplish that, I've started a fork for decoupling the code related with SQLite and putting it in an external connector to allow future connectors for a lot of file formats. It'd be nice if you could look at it and suggest improvements for a possible PR. |
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320132682 | MDU6SXNzdWUzMjAxMzI2ODI= | 250 | Setup some issue templates | simonw 9599 | open | 0 | 0 | 2018-05-04T01:49:07Z | 2018-05-04T01:49:07Z | OWNER | https://twitter.com/left_pad/status/99216385740464537 I like the idea of using these to help people understand some of the ways I want to use issues. |
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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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323658641 | MDU6SXNzdWUzMjM2NTg2NDE= | 262 | Add ?_extra= mechanism for requesting extra properties in JSON | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 27 | 2018-05-16T14:55:42Z | 2023-03-29T06:22:22Z | OWNER | Datasette views currently work by creating a set of data that should be returned as JSON, then defining an additional, optional This Example of how that is used today: https://github.com/simonw/datasette/blob/2b79f2bdeb1efa86e0756e741292d625f91cb93d/datasette/views/table.py#L672-L704 With features like Facets in #255 I'm beginning to want to move more items into the But... as an API user, I want to still optionally be able to access that information. Solution: Add a Then redefine as many of the current This could allow the JSON representation to be slimmed down further (removing e.g. the |
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323718842 | MDU6SXNzdWUzMjM3MTg4NDI= | 268 | Mechanism for ranking results from SQLite full-text search | simonw 9599 | open | 0 | 12 | 2018-05-16T17:36:40Z | 2022-01-13T22:21:28Z | OWNER | This isn't particularly straight-forward - all the more reason for Datasette to implement it for you. This article is helpful: http://charlesleifer.com/blog/using-sqlite-full-text-search-with-python/ |
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326599525 | MDU6SXNzdWUzMjY1OTk1MjU= | 286 | Database hash should include current datasette version | simonw 9599 | open | 0 | 2 | 2018-05-25T17:03:42Z | 2018-05-25T17:07:36Z | OWNER | Right now deploying a new version of datasette doesn't invalidate existing URLs, so users may still see a cached copy of the old templates. We can fix this by including the current datasette version in the input to the hash function (which currently just the database file contents). |
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326778161 | MDU6SXNzdWUzMjY3NzgxNjE= | 290 | Consider increasing the default for num_sql_threads (currently 3) | simonw 9599 | open | 0 | 0 | 2018-05-27T00:52:41Z | 2018-05-27T00:52:41Z | OWNER | I ran a very rough micro-benchmark on the new
Then
| Number of threads | Requests/second | |---|---| | 1 | 4.57 | | 3 | 9.77 | | 10 | 13.53 | | 20 | 15.24 | 50 | 8.21 | This was on my early 2018 OS X laptop. Need to benchmark in other common environments before making a decision on changing the default. That said, the default of 3 was a number I plucked out of thin air. |
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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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327395270 | MDU6SXNzdWUzMjczOTUyNzA= | 296 | Per-database and per-table /-/ URL namespace | simonw 9599 | open | 0 | 3 | 2018-05-29T16:23:13Z | 2019-06-28T16:46:34Z | OWNER | Initially this will be for subsets of To start:
This means we will no longer allow databases or tables to have the name We will continue to support rows with a primary key of
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328155946 | MDU6SXNzdWUzMjgxNTU5NDY= | 301 | --spatialite option for "datasette publish heroku" | simonw 9599 | open | 0 | 1 | 2018-05-31T14:13:09Z | 2022-01-20T21:28:50Z | OWNER | Split off from #243. Need to figure out how to install and configure SpatiaLite on Heroku. |
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330826972 | MDU6SXNzdWUzMzA4MjY5NzI= | 308 | Support extra Heroku apps:create options - region, space, team | annapowellsmith 78156 | open | 0 | 2 | 2018-06-08T23:08:33Z | 2018-09-21T14:09:28Z | NONE | It would be useful to document how to pass Heroku CLI options on |
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335200136 | MDU6SXNzdWUzMzUyMDAxMzY= | 327 | Explore if SquashFS can be used to shrink size of packaged Docker containers | simonw 9599 | open | 0 | 4 | 2018-06-24T18:15:16Z | 2022-02-17T23:37:24Z | OWNER | Inspired by this article: https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html#sqlite-database-indexed--squashed https://en.wikipedia.org/wiki/SquashFS is "a compressed read-only file system for Linux" - which means it could be a really nice fit for Datasette and its read-only SQLite databases. It would be interesting to explore a Dockerfile recipe that used SquashFS to compress the SQLite database file that was bundled up by |
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341228846 | MDU6SXNzdWUzNDEyMjg4NDY= | 343 | Render boolean fields better by default | russss 45057 | open | 0 | 1 | 2018-07-14T11:10:29Z | 2018-07-14T14:17:14Z | CONTRIBUTOR | These show up as 0 or 1 because sqlite. I think Yes/No would be fine in most cases? |
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344654623 | MDU6SXNzdWUzNDQ2NTQ2MjM= | 347 | Rename "datasette package" to "datasette publish docker" | simonw 9599 | open | 0 | 0 | 2018-07-26T00:42:46Z | 2018-07-26T00:42:46Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/347/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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346026869 | MDU6SXNzdWUzNDYwMjY4Njk= | 354 | Handle many-to-many relationships | simonw 9599 | open | 0 | 0 | 2018-07-31T04:03:13Z | 2020-11-24T19:51:18Z | OWNER | This is a master tracking ticket for various many-2-many features. |
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346027040 | MDU6SXNzdWUzNDYwMjcwNDA= | 355 | Table view should support filtering via many-to-many relationships | simonw 9599 | open | 0 | 10 | 2018-07-31T04:04:16Z | 2019-05-23T06:04:03Z | OWNER | Parent: #354 |
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348043884 | MDU6SXNzdWUzNDgwNDM4ODQ= | 357 | Plugin hook for loading metadata.json | simonw 9599 | open | 0 | 6 | 2018-08-06T19:00:01Z | 2020-06-21T22:19:58Z | OWNER | For https://github.com/simonw/russian-ira-facebook-ads-datasette/tree/af6d956995e14afd585c35a6a06bb01da32043ba I wrote a script to convert YAML to JSON because YAML is a better format for embedding multi-line HTML descriptions and canned SQL statements. Example yaml metadata file: https://github.com/simonw/russian-ira-facebook-ads-datasette/blob/af6d956995e14afd585c35a6a06bb01da32043ba/russian-ads-metadata.yaml It would be useful if Datasette could be fed a YAML file directly:
Question is... should this be a native feature (hence adding a YAML dependency) or should it be handled by a |
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352768017 | MDU6SXNzdWUzNTI3NjgwMTc= | 362 | Add option to include/exclude columns in search filters | annapowellsmith 78156 | open | 0 | 1 | 2018-08-22T01:32:08Z | 2020-11-03T19:01:59Z | NONE | I have a dataset with many columns, of which only some are likely to be of interest for searching. It would be great for usability if the search filters in the UI could be configured to include/exclude columns. |
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374953006 | MDU6SXNzdWUzNzQ5NTMwMDY= | 369 | Interface should show same JSON shape options for custom SQL queries | gfrmin 416374 | open | 0 | Datasette 1.0 3268330 | 2 | 2018-10-29T10:39:15Z | 2020-05-30T17:24:06Z | CONTRIBUTOR | At the moment the page returning a custom SQL query shows the JSON and CSV APIs, but not the multiple JSON shapes. However, adding the |
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377155320 | MDU6SXNzdWUzNzcxNTUzMjA= | 370 | Integration with JupyterLab | psychemedia 82988 | open | 0 | 4 | 2018-11-04T13:57:13Z | 2022-09-29T08:17:47Z | CONTRIBUTOR | I just watched a demo video for the JupyterLab Chart Editor which wraps the plotly chart editor app in a JupyterLab panel and lets you open a plotly chart JSON file in that editor. Essentially, it pops an HTML app into a panel in JupyterLab, and I think registers the app as a file viewer for a particular file type. (I'm not completely taken by it, tbh, because it means you can do irreproducible things to the chart definition file, but that's another issue). JupyterLab extensions can also open files from a dialogue as the iframe/html previewer shows: https://github.com/timkpaine/jupyterlab_iframe. This made me wonder about what For example, by right-clicking on a CSV file (for which there is already a CSV table view) in the file browser, offer a View / Run as datasette file viewer option that will:
(? Create a new SQLite db for each CSV file and launch each datasette view on a new port? Or have a JupyterLab (session?) SQLite db that stores all As a freebie, the Related: |
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377166793 | MDU6SXNzdWUzNzcxNjY3OTM= | 372 | Docker build tools | psychemedia 82988 | open | 0 | 0 | 2018-11-04T16:02:35Z | 2018-11-04T16:02:35Z | CONTRIBUTOR | In terms of small pieces lightly joined, I note that there are several tools starting to appear for building generating Dockerfiles and building Docker containers from simpler components such as If plugin/extensions builders want to include additional packages, then things like incremental builds of composable builds that add additional items into a base Examples of Dockerfile generators / container builders: Discussions / threads (via Binderhub gitter) on:
- why Relates to things like: |
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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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411257981 | MDU6SXNzdWU0MTEyNTc5ODE= | 412 | Linked Data(sette) | sfkeller 43340 | open | 0 | 2 | 2019-02-18T00:38:14Z | 2019-03-19T10:09:46Z | NONE | I've a radical feature idea (possible first as an extension in order to experiment?): I'd like to link to a remote table from a remote database, e.g. with a function "linked_datasette()". So one could do following query:
There's a foundation in the SQL Standard called SQL/MED (https://rhaas.blogspot.com/2011/01/why-sqlmed-is-cool.html ). And here's an implementation from me in Postgres FDW to connect another Postgres "endpoint": https://pastebin.com/Fz2v64Cz . |
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421546944 | MDU6SXNzdWU0MjE1NDY5NDQ= | 417 | Datasette Library | simonw 9599 | open | 0 | 12 | 2019-03-15T14:30:22Z | 2020-12-29T14:34:50Z | OWNER | The ability to run Datasette in a mode where it automatically picks up new (or modified) files in a directory tree without needing to restart the server. Suggested command:
|
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426722204 | MDU6SXNzdWU0MjY3MjIyMDQ= | 423 | ?_search_col=X not reflected correctly in the UI | simonw 9599 | open | 0 | 0 | 2019-03-28T21:48:19Z | 2020-11-03T19:01:59Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/423/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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443021509 | MDU6SXNzdWU0NDMwMjE1MDk= | 461 | Paginate + search for databases/tables on the homepage | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 4 | 2019-05-11T18:05:34Z | 2020-12-17T22:14:46Z | OWNER | Split out from #460 - in order to support large numbers of connected databases the homepage needs to be paginated. |
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447408527 | MDU6SXNzdWU0NDc0MDg1Mjc= | 483 | Option to facet by date using month or year | simonw 9599 | open | 0 | 5 | 2019-05-23T01:25:29Z | 2019-05-29T21:38:27Z | OWNER | Facet by date (from #481) can take datetimes and facet them by the day component. https://latest.datasette.io/fixtures/facetable?_facet_date=created I'd like to also be able to facet by month or year. I'm not sure what the best way to achieve this is. Could be two more Facet classes (YearFacet and MonthFacet) but I think it might be nicer if the existing DateFacet could take an optional argument that changed its behaviour. But... if I do that, do I expose it in the UI somewhere or is it only available to URL-hackers? |
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447451492 | MDU6SXNzdWU0NDc0NTE0OTI= | 484 | Mechanism for displaying summary of m2m relationships in rows on table view | simonw 9599 | open | 0 | 1 | 2019-05-23T05:02:41Z | 2019-05-23T06:34:05Z | OWNER | Part of #354 (m2m support) It would be fantastic if rows that are part of a m2m relationship could display it in an additional column in the table view. It might look something like this: https://russian-ira-facebook-ads.datasettes.com/russian-ads-919cbfd/display_ads?_search=black+lives+matter That example was achieved using a custom SQL query and datasette-json-html - but I'd like this to be a built-in feature instead. |
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447469253 | MDU6SXNzdWU0NDc0NjkyNTM= | 485 | Improvements to table label detection | simonw 9599 | open | 0 | simonw 9599 | 10 | 2019-05-23T06:19:49Z | 2022-10-03T00:04:42Z | OWNER | Label detection doesn't work if the primary key is called pk rather than id, so this page doesn't work: https://latest.datasette.io/fixtures/roadside_attraction_characteristics Code is here: |
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449445715 | MDU6SXNzdWU0NDk0NDU3MTU= | 491 | Figure out how to use Firebase with cloudrun to enable vanity URLs and CDN caching | simonw 9599 | open | 0 | 0 | 2019-05-28T19:48:06Z | 2019-05-28T19:48:35Z | OWNER | It looks like Firebase can solve a couple of problems with the existing
https://firebase.google.com/docs/hosting/cloud-run looks like it can help with both of these. Lots of interesting questions:
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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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451585764 | MDU6SXNzdWU0NTE1ODU3NjQ= | 499 | Accessibility for non-techie newsies? | chrismp 7936571 | open | 0 | 3 | 2019-06-03T16:49:37Z | 2019-06-05T21:22:55Z | NONE | Hi again, I'm having fun uploading datasets to Heroku via datasette. I'd like to set up datasette so that it's easy for other newsroom workers, who don't use Linux and aren't programmers, to upload datasets. Does datsette provide this out-of-the-box, or as a plugin? |
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455486286 | MDU6SXNzdWU0NTU0ODYyODY= | 26 | Mechanism for turning nested JSON into foreign keys / many-to-many | simonw 9599 | open | 0 | 14 | 2019-06-13T00:52:06Z | 2022-06-29T23:35:29Z | OWNER | The GitHub JSON APIs have a really interesting convention with respect to related objects. Consider https://api.github.com/repos/simonw/sqlite-utils/issues - here's a truncated subset:
Since both user and label have populated It would be really neat if Thanks to |
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455852801 | MDU6SXNzdWU0NTU4NTI4MDE= | 507 | Every datasette plugin on the ecosystem page should have a screenshot | simonw 9599 | open | 0 | 4 | 2019-06-13T17:02:51Z | 2020-09-17T02:47:35Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/507/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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456569067 | MDU6SXNzdWU0NTY1NjkwNjc= | 510 | Ability to facet by delimiter (e.g. comma separated fields) | simonw 9599 | open | 0 | simonw 9599 | 1 | 2019-06-15T19:34:41Z | 2019-07-08T15:44:51Z | OWNER | E.g. if a field contains "Tags,With,Commas" be able to facet them in the same way as |
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456578474 | MDU6SXNzdWU0NTY1Nzg0NzQ= | 511 | Get Datasette tests passing on Windows in GitHub Actions | simonw 9599 | open | 0 | 13 | 2019-06-15T21:41:58Z | 2021-07-11T17:23:05Z | OWNER | This should almost happen as a side-effect or moving from Sanic to Uvicorn during the port to ASGI: #272 Additional steps:
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457147936 | MDU6SXNzdWU0NTcxNDc5MzY= | 512 | "about" parameter in metadata does not appear when alone | chrismp 7936571 | open | 0 | 3 | 2019-06-17T21:04:20Z | 2019-10-11T15:49:13Z | NONE | Here's an example of metadata I have for one database on datasette.
The text in Is this intended? |
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459469278 | MDU6SXNzdWU0NTk0NjkyNzg= | 515 | Try shrinking official image with docker-slim | simonw 9599 | open | 0 | 0 | 2019-06-22T12:25:37Z | 2019-06-22T12:25:37Z | OWNER | This looks really promising: https://github.com/docker-slim/docker-slim If it can shave substantial size from our official container reliably we could add it to the automated build process. |
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459509126 | MDU6SXNzdWU0NTk1MDkxMjY= | 516 | Enforce import sort order with isort | simonw 9599 | open | 0 | 8 | 2019-06-22T20:35:50Z | 2023-08-23T02:15:36Z | OWNER | I want to use isort to order imports. A few steps here:
|
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459622390 | MDU6SXNzdWU0NTk2MjIzOTA= | 522 | Handle case-insensitive headers in a nicer way | simonw 9599 | open | 0 | 1 | 2019-06-23T21:56:34Z | 2019-06-26T18:48:53Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/522/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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459882902 | MDU6SXNzdWU0NTk4ODI5MDI= | 526 | Stream all results for arbitrary SQL and canned queries | matej-fr 50578294 | open | 0 | 23 | 2019-06-24T13:09:45Z | 2022-09-28T04:01:25Z | NONE | I think that there is a difficulty with canned queries. When I want to stream all results of a canned query TwoDays I get only first 1.000 records. Example:
returns only first 1.000 records. If I do the same with the whole database i.e.
I get correctly all records. Any ideas? |
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460095928 | MDU6SXNzdWU0NjAwOTU5Mjg= | 528 | Establish a pattern for Datasette plugins built on top of Pandas | simonw 9599 | open | 0 | 0 | 2019-06-24T21:05:52Z | 2019-06-24T21:05:52Z | OWNER | The Pandas ecosystem is huge, varied and full of tools that are really good at doing interesting analysis on top of tabular data. Pandas should not be a dependency of Datasette core, but I think there is a lot of potential in having plugins which use Pandas to apply interesting analysis to data sucked out of Datasette's SQLite tables. One example (thanks, Tony): https://github.com/ResidentMario/missingno could form the basis of a fantastic plugin for getting a high-level overview of how complete each column in a table is. Some thought is needed here about what shape these kind of plugins might take, and what plugin hooks they would use. |
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462117311 | MDU6SXNzdWU0NjIxMTczMTE= | 531 | /database/-/inspect | simonw 9599 | open | 0 | 1 | 2019-06-28T16:33:41Z | 2019-07-08T15:43:57Z | OWNER | Build It won't show table counts. Or maybe it will include them optionally but only for Originally posted by @simonw in https://github.com/simonw/datasette/issues/465#issuecomment-506797086 |
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463492815 | MDU6SXNzdWU0NjM0OTI4MTU= | 534 | 500 error on m2m facet detection | simonw 9599 | open | 0 | 1 | 2019-07-03T00:42:42Z | 2020-12-17T05:08:22Z | OWNER | This may help debug:
|
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463544206 | MDU6SXNzdWU0NjM1NDQyMDY= | 537 | Populate "endpoint" key in ASGI scope | simonw 9599 | open | 0 | 12 | 2019-07-03T04:54:47Z | 2019-07-22T06:03:18Z | OWNER | This is a trick used by Starlette so that other layers of ASGI middleware can see which route was selected. They added it here: https://github.com/encode/starlette/commit/34d0097feb6f057bd050d5057df5a2f96b97384e If Datasette supports it as well we can benefit from it if we integrate this sentry_asgi middleware (probably as a |
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465003070 | MDU6SXNzdWU0NjUwMDMwNzA= | 551 | Ship many-to-many faceting support (and facet-by-delimiter) | simonw 9599 | open | 0 | 2 | 2019-07-07T23:11:45Z | 2019-07-08T15:45:23Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/551/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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465019882 | MDU6SXNzdWU0NjUwMTk4ODI= | 552 | Add --plugin-secret support to "datasette package" | simonw 9599 | open | 0 | 1 | 2019-07-08T01:46:47Z | 2019-07-08T01:47:30Z | OWNER | Split out from #544. I think I should combine this with #347 (renaming |
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465327844 | MDU6SXNzdWU0NjUzMjc4NDQ= | 553 | Potential improvements to facet-by-date | simonw 9599 | open | 0 | 3 | 2019-07-08T15:37:53Z | 2019-07-08T15:41:55Z | OWNER | In addition to #483 Tobias had some useful suggestions on Twitter: https://twitter.com/rixxtr/status/1148253926476701696
Screenshot of that link: |
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472115381 | MDU6SXNzdWU0NzIxMTUzODE= | 49 | extracts= should support multiple-column extracts | simonw 9599 | open | 0 | 10 | 2019-07-24T07:06:41Z | 2020-10-16T19:18:19Z | OWNER | Lookup tables can be constructed on compound columns, but the Right now extracts can be defined in two ways: ```python Extract these columns into tables with the same name:dogs = db.table("dogs", extracts=["breed", "most_recent_trophy"]) Same as above but with custom table names:dogs = db.table("dogs", extracts={"breed": "Breeds", "most_recent_trophy": "Trophies"}) ``` Need some kind of syntax for much more complicated extractions, like when two columns (say "source" and "source_version") are extracted into a single table. |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/49/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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476852861 | MDU6SXNzdWU0NzY4NTI4NjE= | 568 | Add database_color as a configurable option | LBHELewis 50906992 | open | 0 | 1 | 2019-08-05T13:14:45Z | 2023-08-11T05:19:42Z | NONE | This would be really useful as it would allow us to tie in with colour schemes. |
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481885279 | MDU6SXNzdWU0ODE4ODUyNzk= | 569 | More advanced connection pooling | simonw 9599 | open | 0 | 4 | 2019-08-17T13:20:41Z | 2019-10-02T22:44:37Z | OWNER | We need a much smarter way of handling database connections. Today, connections are simple: Datasette runs a number of threads (defaults to 3) and each thread gets a threadlocal read-only (or immutable) connection to each attached database - opened on demand. For Datasette Library (#417) I want to support potentially hundreds of attached databases. Datasette Edit (#567) is going to introduce a need for writable connections too. I'd also like to be able to run joins across multiple databases (#283) which further complicates things. Supporting thousands of open SQLite connections at once feels like it won't provide good enough performance (though I should benchmark that to be sure). Some kind of connection pooling is likely to be necessary. |
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488874815 | MDU6SXNzdWU0ODg4NzQ4MTU= | 5 | Write tests that simulate the Twitter API | simonw 9599 | open | 0 | 1 | 2019-09-03T23:55:35Z | 2019-09-03T23:56:28Z | MEMBER | I can use betamax for this: https://pypi.org/project/betamax/ |
twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/5/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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496415321 | MDU6SXNzdWU0OTY0MTUzMjE= | 1 | Figure out some interesting example SQL queries | simonw 9599 | open | 0 | 9 | 2019-09-20T15:28:07Z | 2021-05-03T03:46:23Z | MEMBER | My knowledge of genetics has left me short here. I'd love to be able to provide some interesting example SELECT queries - maybe one that spots if you are likely to have red hair? |
genome-to-sqlite 209590345 | issue | { "url": "https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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503053243 | MDU6SXNzdWU1MDMwNTMyNDM= | 582 | Datasette should not completely crash if one SQLite database is malformed | simonw 9599 | open | 0 | 0 | 2019-10-06T05:11:43Z | 2019-10-06T05:11:43Z | OWNER | If you run Datasette against a number of database files and one of them is malformed, you get this 500 error on the index page: It would be better if Datasette still worked and listed the databases that were NOT malformed, then showed an inline error message just for the one that could not be accessed. |
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503243784 | MDU6SXNzdWU1MDMyNDM3ODQ= | 3 | Extract images into separate tables | simonw 9599 | open | 0 | 1 | 2019-10-07T05:43:01Z | 2020-09-01T06:17:45Z | MEMBER | As already done with authors. Slightly harder because images do not have a universally unique ID. Also need to figure out what to do about there being columns for both |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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504720731 | MDU6SXNzdWU1MDQ3MjA3MzE= | 1 | Add more details on how to request data from google takeout correctly. | dazzag24 1055831 | open | 0 | 0 | 2019-10-09T15:17:34Z | 2019-10-09T15:17:34Z | NONE | The default is to download everything. This can result in an enormous amount of data when you only really need 2 types of data for now:
In addition unless you specify that "My Activity" is downloaded in JSON format the default is HTML. This then causes the
command to fail as it only contains html files not json files. Thanks |
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505673645 | MDU6SXNzdWU1MDU2NzM2NDU= | 16 | Do a better job with archived direct message threads | simonw 9599 | open | 0 | 0 | 2019-10-11T06:55:21Z | 2019-10-11T06:55:27Z | MEMBER | twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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507454958 | MDU6SXNzdWU1MDc0NTQ5NTg= | 596 | Handle really wide tables better | simonw 9599 | open | 0 | 9 | 2019-10-15T20:05:46Z | 2022-09-07T00:58:41Z | OWNER | If a table has hundreds of columns the Datasette UI starts getting unwieldy. Addressing this would be neat. One option would be to only select the first 30 columns by default and provide a UI for selecting more. |
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510076368 | MDU6SXNzdWU1MTAwNzYzNjg= | 605 | Support queries at the table level | bsilverm 12617395 | open | 0 | 2 | 2019-10-21T15:58:30Z | 2019-10-30T18:55:37Z | NONE | Per the issue described in issue #588, it was determined queries are not supported at the table level. Per my last comment in the issue, I'd like to request support for this as it would help eliminate errors in the event certain tables are not present in the database. |
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516874735 | MDU6SXNzdWU1MTY4NzQ3MzU= | 613 | Basic join support for table view | simonw 9599 | open | 0 | 1 | 2019-11-03T19:12:53Z | 2019-11-03T19:14:01Z | OWNER | I think it would be possible to support basic foreign key joins on the table page. The user could specify columns that should result in a join (from a set of suggestions similar to how facets work right now) and they could then be passed as This feature will make a lot of sense when combined with the ability to show / hide / customize columns, see #292 |
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520667773 | MDU6SXNzdWU1MjA2Njc3NzM= | 620 | Mechanism for indicating foreign key relationships in the table and query page URLs | simonw 9599 | open | 0 | 6 | 2019-11-10T22:26:27Z | 2021-04-05T03:57:22Z | OWNER | Datasette currently only inflates foreign keys (into names hyperlinks) if it detects them as foreign key constraints in the underlying database. It would be useful if you could specify additional "foreign keys" using both |
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520681725 | MDU6SXNzdWU1MjA2ODE3MjU= | 621 | Syntax for ?_through= that works as a form field | simonw 9599 | open | 0 | 7 | 2019-11-11T00:19:03Z | 2021-12-18T01:42:33Z | OWNER | The current syntax for This means you can't target a form field at it. We should be able to support both - |
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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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527710055 | MDU6SXNzdWU1Mjc3MTAwNTU= | 640 | Nicer error message for heroku publish name clash | psychemedia 82988 | open | 0 | 1 | 2019-11-24T14:57:07Z | 2019-12-06T07:19:34Z | CONTRIBUTOR | If you try to publish to Heroku using no set name (i.e. the default
It would be neater if:
It may also be useful to provide a command to list the current names that are being used, which I assume is available via a Heroku call? |
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530468212 | MDU6SXNzdWU1MzA0NjgyMTI= | 643 | Set up some basic benchmarks as part of the unit tests | simonw 9599 | open | 0 | 0 | 2019-11-29T19:24:19Z | 2019-11-29T19:24:19Z | OWNER | https://pypi.org/project/pytest-benchmark/ looks great for this. Here's how to run it as a github action: https://github.com/rhysd/github-action-benchmark/blob/master/examples/pytest/README.md |
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530491074 | MDU6SXNzdWU1MzA0OTEwNzQ= | 14 | Command for importing events | simonw 9599 | open | 0 | 3 | 2019-11-29T21:28:58Z | 2020-04-14T19:38:34Z | MEMBER | github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/14/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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531502365 | MDU6SXNzdWU1MzE1MDIzNjU= | 646 | Make database level information from metadata.json available in the index.html template | lagolucas 18017473 | open | 0 | Datasette 1.0 3268330 | 3 | 2019-12-02T19:55:10Z | 2022-03-15T20:50:34Z | NONE | Did a search on the issues here and didn't find anything related to what I want. I want to have information that is on the database level of the JSON like title, source and source_url, and use it on the index page. I tried some small tweaks on the python and html files, but failed to get that result. Is there a way? Thanks! |
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534629631 | MDU6SXNzdWU1MzQ2Mjk2MzE= | 650 | Add a glossary to the documentation | simonw 9599 | open | 0 | 3 | 2019-12-09T00:23:45Z | 2022-01-13T22:04:56Z | OWNER | Call it GlossaryTerm A definition of the term. Another term Another definition. ``` |
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539204432 | MDU6SXNzdWU1MzkyMDQ0MzI= | 70 | Implement ON DELETE and ON UPDATE actions for foreign keys | LucasElArruda 26292069 | open | 0 | 2 | 2019-12-17T17:19:10Z | 2020-02-27T04:18:53Z | NONE | Hi! I did not find any mention on the library about ON DELETE and ON UPDATE actions for foreign keys. Are those expected to be implemented? If not, it would be a nice thing to include! |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/70/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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541274681 | MDU6SXNzdWU1NDEyNzQ2ODE= | 2 | Add linkedin-to-sqlite | mnp 881925 | open | 0 | 0 | 2019-12-21T03:13:40Z | 2019-12-21T03:13:40Z | NONE | There is an API available. https://developer.linkedin.com/docs/rest-api# At the minimum, I would think contact list and messages would be of interest. |
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546073980 | MDU6SXNzdWU1NDYwNzM5ODA= | 74 | Test failures on openSUSE 15.1: AssertionError: Explicit other_table and other_column | jayvdb 15092 | open | 0 | 3 | 2020-01-07T04:35:50Z | 2020-01-12T07:21:17Z | CONTRIBUTOR | openSUSE 15.1 is using python 3.6.5 and click-7.0 , however it has test failures while openSUSE Tumbleweed on py37 passes. Most fail on the cli exit code like
packaging project at https://build.opensuse.org/package/show/home:jayvdb:py-new/python-sqlite-utils I'll keep digging into this after I have github-to-sqlite working on Tumbleweed, as I'll need openSUSE Leap 15.1 working before I can submit this into the main python repo. |
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548591089 | MDU6SXNzdWU1NDg1OTEwODk= | 657 | Allow creation of virtual tables at startup | dazzag24 1055831 | open | 0 | 4 | 2020-01-12T16:10:55Z | 2021-01-15T20:24:35Z | NONE | Hi, I've been experimenting with SQLite reading from huge datasets using this excellent Parquet extension from @cldellow. https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html https://github.com/cldellow/sqlite-parquet-vtable This works really well, but I was keen to see if I could combine datasette with this. Having previously experimented with the spatialite extension I knew that datasette supports loading extensions in the underlying sqlite instance. However I hit a blocker as the current design only allows SELECT statements to be executed and so I am unable to execute the crucial CREATE VIRTUAL TABLE ......... command that is required to load the data from the parquet file into the table. It seems like this would be a simple-ish change, but I don't know enough about the architecture of datasette to start implementing this myself? Could this be done as a datasette plugin? or would this require more fundamental changes at initialisation time? My thoughts are that something at init time could detect that the user was loading a .parquet file and then switch to a mode were it loads that via the "CREATE VIRTUAL TABLE..." rather than loading the .db file in the default case?? I'm happy to contribute code and testing, I just need some pointers on the best approach. Thanks Darren |
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550293770 | MDU6SXNzdWU1NTAyOTM3NzA= | 658 | How do I use the app.css as style sheet? | null92 49656826 | open | 0 | 2 | 2020-01-15T16:27:57Z | 2020-02-07T00:29:50Z | NONE | Simon, I'm trying to use the app.css (in static folder) as style sheet but the datasette on Heroku simply ignore it! I read everything about customization here and on readthedocs but still can't. Is this possible? Thanks! |
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559964149 | MDU6SXNzdWU1NTk5NjQxNDk= | 665 | Introduce a SQL statement parser in Python | simonw 9599 | open | 0 | 1 | 2020-02-04T20:36:05Z | 2020-02-04T20:36:48Z | OWNER | 254 and #653 are both examples of problems that could be solved using a real SQL parser in Python. |
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564833696 | MDU6SXNzdWU1NjQ4MzM2OTY= | 670 | Prototoype for Datasette on PostgreSQL | simonw 9599 | open | 0 | 15 | 2020-02-13T17:17:55Z | 2023-11-17T15:32:21Z | OWNER | I thought this would never happen, but now that I'm deep in the weeds of running SQLite in production for Datasette Cloud I'm starting to reconsider my policy of only supporting SQLite. Some of the factors making me think PostgreSQL support could be worth the effort:
- Serverless. I'm getting increasingly excited about writable-database use-cases for Datasette. If it could talk to PostgreSQL then users could easily deploy it on Heroku or other serverless providers that can talk to a managed RDS-style PostgreSQL.
- Existing databases. Plenty of organizations have PostgreSQL databases. They can export to SQLite using db-to-sqlite but that's a pretty big barrier to getting started - being able to run The above reasons feel strong enough to justify a prototype. |
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567902704 | MDU6SXNzdWU1Njc5MDI3MDQ= | 675 | --cp option for datasette publish and datasette package for shipping additional files and directories | aviflax 141844 | open | 0 | 12 | 2020-02-19T22:55:56Z | 2020-12-28T18:49:21Z | NONE | I’m working on integrating Datasette into a documentation-oriented publishing workflow internally in my company, and in order to deploy the Docker image created by So it’d be excellent if there was an additional option for this command, something like, like, I’d envision it looking something like:
I’d be happy to help design, specify, implement, and test this feature, if you’d be interested. Thanks for the fantastic tools! |
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573578548 | MDU6SXNzdWU1NzM1Nzg1NDg= | 89 | Ability to customize columns used by extracts= feature | simonw 9599 | open | 0 | 3 | 2020-03-01T16:54:48Z | 2020-10-16T19:17:50Z | OWNER | @simonw any thoughts on allow extracts to specify the lookup column name? If I'm understanding the documentation right, Initial thought on how to do this would be to allow the dictionary value to be a tuple of table name column pair... so:
I haven't dug too much into the existing code yet, but does this make sense? Worth doing? Originally posted by @chrishas35 in https://github.com/simonw/sqlite-utils/issues/46#issuecomment-592999503 |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/89/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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574021194 | MDU6SXNzdWU1NzQwMjExOTQ= | 691 | --reload sould reload server if code in --plugins-dir changes | simonw 9599 | open | 0 | 1 | 2020-03-02T14:42:21Z | 2020-06-14T02:35:17Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/691/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/692/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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581795570 | MDU6SXNzdWU1ODE3OTU1NzA= | 93 | Support more string values for types in .add_column() | simonw 9599 | open | 0 | 0 | 2020-03-15T19:32:49Z | 2020-09-24T20:36:46Z | OWNER | https://sqlite-utils.readthedocs.io/en/2.4.2/python-api.html#adding-columns says:
As discovered in #92 this isn't the right list of values. I should expand this to match https://www.sqlite.org/datatype3.html |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/93/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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593006814 | MDU6SXNzdWU1OTMwMDY4MTQ= | 715 | Refactor duplicate cell display logic | simonw 9599 | open | 0 | 0 | 2020-04-03T00:58:11Z | 2020-04-03T00:58:11Z | OWNER | The logic for rendering cells in table view and in database (or canned query) view is currently very similar: Compared with: I'll be changing this a bit in #698 but I should still try to clean this up more further in the future. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/715/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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