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repo 16
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milestone 4 ✖
state 1
- open · 784 ✖
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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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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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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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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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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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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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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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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355299310 | MDExOlB1bGxSZXF1ZXN0MjExODYwNzA2 | 363 | Search all apps during heroku publish | kevboh 436032 | open | 0 | 1 | 2018-08-29T19:25:10Z | 2018-08-31T14:39:45Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/363 | Adds the |
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359075028 | MDExOlB1bGxSZXF1ZXN0MjE0NjUzNjQx | 364 | Support for other types of databases using external connectors | jsancho-gpl 11912854 | open | 0 | 0 | 2018-09-11T14:31:47Z | 2018-09-11T14:31:47Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/364 | This PR is related to #293, but now all commits have been merged. The purpose is to support other file formats that aren't SQLite, like files with PyTables format. I've tried to accomplish that using external connectors published with entry points. The modifications in the original datasette code are minimal and many are in a separated file. |
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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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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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440325850 | MDExOlB1bGxSZXF1ZXN0Mjc1OTIzMDY2 | 452 | SQL builder utility classes | russss 45057 | open | 0 | 0 | 2019-05-04T13:57:47Z | 2019-05-04T14:03:04Z | CONTRIBUTOR | simonw/datasette/pulls/452 | This adds a straightforward set of classes to aid in the construction of SQL queries. My plan for this was to allow plugins to manipulate the
Datasette-generated SQL in a more structured way. I'm not sure that's
going to work, but I feel like this is still a step forward - it
reduces the number of intermediate variables in There are a fair number of minor structure changes in here too as I've
tried to make the ordering of |
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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/ |
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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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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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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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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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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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501773982 | MDExOlB1bGxSZXF1ZXN0MzIzOTgzNzMy | 579 | New connection pooling | simonw 9599 | open | 0 | 1 | 2019-10-02T23:22:19Z | 2019-11-15T22:57:21Z | OWNER | simonw/datasette/pulls/579 | See #569 |
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464987783 | MDExOlB1bGxSZXF1ZXN0Mjk1MTI3MjEz | 546 | Facet by delimiter | simonw 9599 | open | 0 | 2 | 2019-07-07T20:06:05Z | 2019-11-18T23:46:01Z | OWNER | simonw/datasette/pulls/546 | Refs #510 |
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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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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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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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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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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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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! |
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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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565064079 | MDExOlB1bGxSZXF1ZXN0Mzc1MTgwODMy | 672 | --dirs option for scanning directories for SQLite databases | simonw 9599 | open | 0 | 15 | 2020-02-14T02:25:52Z | 2020-03-27T01:03:53Z | OWNER | simonw/datasette/pulls/672 | Refs #417. |
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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. |
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599776345 | MDU6SXNzdWU1OTk3NzYzNDU= | 24 | Feature idea: github-to-sqlite everything ... | simonw 9599 | open | 0 | 0 | 2020-04-14T18:34:00Z | 2020-04-14T18:34:00Z | MEMBER | At the moment if you want to pull all your repos, issues, issues comments etc you have to do it with a sequence of separate commands. Consider adding a |
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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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602619330 | MDU6SXNzdWU2MDI2MTkzMzA= | 45 | Use raise_for_status() everywhere | simonw 9599 | open | 0 | 1 | 2020-04-19T04:38:28Z | 2020-04-19T04:39:22Z | MEMBER | I keep seeing errors which I think are caused by authentication or rate limit problems but which appear to be unexpected JSON responses - presumably because they are actually an error message. Recent example: https://github.com/simonw/jsk-fellows-on-twitter/runs/598892575 Using |
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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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606033104 | MDU6SXNzdWU2MDYwMzMxMDQ= | 12 | If less than 500MB, show size in MB not GB | simonw 9599 | open | 0 | 1 | 2020-04-24T04:35:01Z | 2020-04-24T04:35:25Z | MEMBER | Just saw this:
|
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607888367 | MDU6SXNzdWU2MDc4ODgzNjc= | 13 | Also upload movie files | simonw 9599 | open | 0 | 2 | 2020-04-27T22:11:25Z | 2020-04-28T00:39:45Z | MEMBER | The Need to cover movies taken by my phone and DSLR too. |
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608512747 | MDU6SXNzdWU2MDg1MTI3NDc= | 14 | Annotate photos using the Google Cloud Vision API | simonw 9599 | open | 0 | 5 | 2020-04-28T18:09:03Z | 2020-04-28T18:19:06Z | MEMBER | It can detect faces, run OCR, do image labeling (it knows what a lemur is!) and do object localization where it identifies objects and returns bounding polygons for them. |
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602533300 | MDU6SXNzdWU2MDI1MzMzMDA= | 1 | Import photo metadata from Apple Photos into SQLite | simonw 9599 | open | 0 | Apple Photos online and securely browsable 5324096 | 8 | 2020-04-18T19:23:26Z | 2020-05-04T02:41:40Z | MEMBER | Faces, albums, locations, that kind of thing. |
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612287234 | MDU6SXNzdWU2MTIyODcyMzQ= | 16 | Import machine-learning detected labels (dog, llama etc) from Apple Photos | simonw 9599 | open | 0 | 13 | 2020-05-05T02:45:43Z | 2020-05-05T05:38:16Z | MEMBER | Follow-on from #1. Apple Photos runs some very sophisticated machine learning on-device to figure out if photos are of dogs, llamas and so on. I really want to extract those labels out into my own database. |
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612860758 | MDU6SXNzdWU2MTI4NjA3NTg= | 18 | Switch CI solution to GitHub Actions with a macOS runner | simonw 9599 | open | 0 | 1 | 2020-05-05T20:03:50Z | 2020-05-05T23:49:18Z | MEMBER | Refs #17. |
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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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613491342 | MDU6SXNzdWU2MTM0OTEzNDI= | 762 | Experiment with PRAGMA hard_heap_limit | simonw 9599 | open | 0 | 0 | 2020-05-06T17:33:23Z | 2020-05-07T03:08:44Z | OWNER | This was added in SQLite 2020-01-22 (3.31.0): https://www.sqlite.org/changes.html#version_3_31_0
This sounds like it could be a nice extra safety measure. |
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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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615626118 | MDU6SXNzdWU2MTU2MjYxMTg= | 22 | Try out ExifReader | simonw 9599 | open | 0 | 4 | 2020-05-11T06:32:13Z | 2020-05-14T05:59:53Z | MEMBER | https://pypi.org/project/ExifReader/ New fork that should be able to handle EXIF in HEIC files. Forked here: https://github.com/ianare/exif-py/issues/102#issuecomment-626376522 Refs #3 |
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621323348 | MDU6SXNzdWU2MjEzMjMzNDg= | 24 | Configurable URL for images | simonw 9599 | open | 0 | 1 | 2020-05-19T22:25:56Z | 2020-05-20T06:00:29Z | MEMBER | This is hard-coded at the moment, which is bad: https://github.com/dogsheep/photos-to-sqlite/blob/d5d69b9019703c47bc251444838578dd752801e2/photos_to_sqlite/cli.py#L269-L272 |
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621486115 | MDU6SXNzdWU2MjE0ODYxMTU= | 27 | photos_with_apple_metadata view should include labels | simonw 9599 | open | 0 | 0 | 2020-05-20T06:06:17Z | 2020-05-20T06:06:17Z | MEMBER | Here's one way to add that:
|
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612382643 | MDU6SXNzdWU2MTIzODI2NDM= | 758 | Question: Access to immutable database-path | clausjuhl 2181410 | open | 0 | 6 | 2020-05-05T07:01:18Z | 2020-05-28T08:23:27Z | NONE | Hi Simon Is there anywhere in the app-context where one can access the hashed urlpath of the database? Currently it's included in the template-context ( |
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626582657 | MDU6SXNzdWU2MjY1ODI2NTc= | 779 | Make human_description_en explicitly available to output renderers | simonw 9599 | open | 0 | 0 | 2020-05-28T14:59:54Z | 2020-05-28T14:59:54Z | OWNER |
https://github.com/simonw/datasette-atom/blob/df98a6c43a443224b6cd232f84703ec297ef046b/datasette_atom/init.py#L36-L37
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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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628156527 | MDU6SXNzdWU2MjgxNTY1Mjc= | 789 | Mechanism for enabling pluggy tracing | simonw 9599 | open | 0 | 2 | 2020-06-01T05:10:14Z | 2020-06-01T05:11:03Z | OWNER | Could be useful for debugging plugins: https://pluggy.readthedocs.io/en/latest/#call-tracing I tried this out by adding these two lines in Added these:pm.trace.root.setwriter(print)
pm.enable_tracing()
finish actor_from_request --> [] [hook] extra_body_script [hook] template: show_json.html database: None table: None view_name: json_data datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_body_script --> [] [hook] extra_template_vars [hook] template: show_json.html database: None table: None view_name: json_data request: <datasette.utils.asgi.Request object at 0x1065504d0> datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_template_vars --> [] [hook] extra_css_urls [hook] template: show_json.html database: None table: None datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_css_urls --> [] [hook] extra_js_urls [hook] template: show_json.html database: None table: None datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_js_urls --> [] [hook] INFO: 127.0.0.1:52724 - "GET /-/actor HTTP/1.1" 200 OK actor_from_request [hook] datasette: <datasette.app.Datasette object at 0x106277ad0> request: <datasette.utils.asgi.Request object at 0x1065500d0> finish actor_from_request --> [] [hook] ``` |
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638238548 | MDU6SXNzdWU2MzgyMzg1NDg= | 845 | Code coverage should ignore files in .coveragerc | simonw 9599 | open | 0 | 0 | 2020-06-13T21:45:42Z | 2020-06-13T21:46:03Z | OWNER | I'm not sure why this is, but the code coverage I have running in a GitHub Action doesn't take my Here's the bit that's ignored: https://github.com/simonw/datasette/blob/cf7a2bdb404734910ec07abc7571351a2d934828/.coveragerc#L1-L2 As a result my coverage score is 84%, when it should be 92%:
|
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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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639993467 | MDU6SXNzdWU2Mzk5OTM0Njc= | 850 | Proof of concept for Datasette on AWS Lambda with EFS | simonw 9599 | open | 0 | 25 | 2020-06-16T21:48:31Z | 2020-06-16T23:52:16Z | OWNER | If Datasette can run on Lambda with access to EFS it could both read AND write large databases there. |
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639542974 | MDU6SXNzdWU2Mzk1NDI5NzQ= | 47 | Fall back to FTS4 if FTS5 is not available | hpk42 73579 | open | 0 | 3 | 2020-06-16T10:11:23Z | 2020-06-17T20:13:48Z | NONE | got this with version 0.21.1 from pypi. twitter-to-sqlite auth worked but then "twitter-to-sqlite user-timeline USER.db" produced a tracekback ending in "no such module: FTS5". |
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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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643510821 | MDU6SXNzdWU2NDM1MTA4MjE= | 862 | Set an upper limit on total facet suggestion time for a page | simonw 9599 | open | 0 | 1 | 2020-06-23T03:57:55Z | 2020-06-23T03:58:48Z | OWNER | If a table has 100 columns the facet suggestion code will currently run 100 times, taking a max of So for 100 columns, that's 100 * 50ms = 5s total time that might be spent attempting to calculate facets on a large table! I should implement a hard upper limit on the total amount of time taken suggesting facets - probably of around 500ms. If it takes longer than that the remaining columns will not be considered. |
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644161221 | MDU6SXNzdWU2NDQxNjEyMjE= | 117 | Support for compound (composite) foreign keys | simonw 9599 | open | 0 | 3 | 2020-06-23T21:33:42Z | 2020-06-23T21:40:31Z | OWNER | It turns out SQLite supports composite foreign keys: https://www.sqlite.org/foreignkeys.html#fk_composite Their example looks like this: ```sql CREATE TABLE album( albumartist TEXT, albumname TEXT, albumcover BINARY, PRIMARY KEY(albumartist, albumname) ); CREATE TABLE song( songid INTEGER, songartist TEXT, songalbum TEXT, songname TEXT, FOREIGN KEY(songartist, songalbum) REFERENCES album(albumartist, albumname) ); ``` Here's what that looks like in sqlite-utils: ``` In [1]: import sqlite_utils In [2]: import sqlite3 In [3]: conn = sqlite3.connect(":memory:") In [4]: conn In [5]: conn.executescript("""
...: CREATE TABLE album(
...: albumartist TEXT,
...: albumname TEXT,
...: albumcover BINARY,
...: PRIMARY KEY(albumartist, albumname)
...: );
...: In [6]: db = sqlite_utils.Database(conn) In [7]: db.tables |
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648659536 | MDU6SXNzdWU2NDg2NTk1MzY= | 881 | Figure out why restore_working_directory is needed in some places | simonw 9599 | open | 0 | 0 | 2020-07-01T04:19:25Z | 2020-07-01T04:19:25Z | OWNER | This is a frustrating workaround. I have a /usr/local/opt/python/Frameworks/Python.framework/Versions/3.7/lib/python3.7/contextlib.py:112: in enter return next(self.gen) self = <click.testing.CliRunner object at 0x1135ad110>
I'd like to not have to do this. |
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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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648749062 | MDExOlB1bGxSZXF1ZXN0NDQyNTA1MDg4 | 883 | Skip counting hidden tables | abdusco 3243482 | open | 0 | 4 | 2020-07-01T07:38:08Z | 2020-07-02T00:25:44Z | CONTRIBUTOR | simonw/datasette/pulls/883 | Potential fix for https://github.com/simonw/datasette/issues/859. Disabling table counts for hidden tables speeds up database page quite a bit. In my setup it reduced load time by 2/3 (~300 -> ~90ms) |
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655974395 | MDExOlB1bGxSZXF1ZXN0NDQ4MzU1Njgw | 30 | Handle empty bucket on first upload. Allow specifying the endpoint_url for services other than S3 (like b2 and digitalocean spaces) | scanner 110038 | open | 0 | 0 | 2020-07-13T16:15:26Z | 2020-07-13T16:15:26Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/30 | Finally got around to trying dogsheep-photos but I want to use backblaze's b2 service instead of AWS S3. Had to add a way to optionally specify the endpoint_url to connect to. Then with the bucket being empty the initial key retrieval would fail. Probably a better way to see that the bucket is empty than doing a test inside the paginator loop. Also probably a better way to specify the endpoint_url as we get and test for it twice using the same code in two different places but did not want to spend too much time worrying about it. |
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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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664793260 | MDU6SXNzdWU2NjQ3OTMyNjA= | 2 | Yak shave | ekg 145425 | open | 0 | 0 | 2020-07-23T22:04:18Z | 2020-07-23T22:04:18Z | NONE | Just a quick note... The 23andme data is not exactly your genome, but a SNP chip of your genome. It's "some of your genotypes." Or about 0.1% of your genome. Nice work in any case! It deserves to be liberated!!!!! |
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668064026 | MDU6SXNzdWU2NjgwNjQwMjY= | 911 | Rethink the --name option to "datasette publish" | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 0 | 2020-07-29T18:49:49Z | 2020-07-29T18:49:49Z | OWNER |
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673602857 | MDU6SXNzdWU2NzM2MDI4NTc= | 9 | Define a view that displays photos correctly | simonw 9599 | open | 0 | 0 | 2020-08-05T14:53:39Z | 2020-08-05T14:53:39Z | MEMBER | The id | createdAt | source | prefix | suffix | width | height | visibility | created ▲ | user -- | -- | -- | -- | -- | -- | -- | -- | -- | -- 5e12c9708506bc000840262a | January 06, 2020 - 05:45:20 UTC | Swarm for iOS 1 | https://fastly.4sqi.net/img/general/ | /15889193_AXxGk4I1nbzUZuyYqObgbXdJNyEHiwj6AUDq0tPZWtw.jpg | 1920 | 1440 | public | 2020-01-06T05:45:20 | 15889193 The photo URL can be derived from those pieces - define a SQL view which does that (using |
swarm-to-sqlite 205429375 | issue | { "url": "https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/9/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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675594325 | MDU6SXNzdWU2NzU1OTQzMjU= | 917 | Idea: "datasette publish" option for "only if the data has changed | simonw 9599 | open | 0 | 0 | 2020-08-08T21:58:27Z | 2020-08-08T21:58:27Z | OWNER | This is a pattern I often find myself needing. I usually implement this in GitHub Actions like this:
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datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/917/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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647095487 | MDU6SXNzdWU2NDcwOTU0ODc= | 873 | "datasette -p 0 --root" gives the wrong URL | simonw 9599 | open | 0 | 14 | 2020-06-29T04:03:06Z | 2020-08-18T17:26:10Z | OWNER |
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datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/873/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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