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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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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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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. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14/reactions", "total_count": 3, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
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670209331 | MDU6SXNzdWU2NzAyMDkzMzE= | 913 | Mechanism for passing additional options to `datasette my.db` that affect plugins | simonw 9599 | open | 0 | 5 | 2020-07-31T20:38:26Z | 2021-01-04T20:04:11Z | OWNER |
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675753042 | MDU6SXNzdWU2NzU3NTMwNDI= | 131 | sqlite-utils insert: options for column types | simonw 9599 | open | 0 | 5 | 2020-08-09T18:59:11Z | 2022-03-15T13:21:42Z | OWNER | The It would be useful if you could do the following:
For specific columns maybe this:
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718540751 | MDU6SXNzdWU3MTg1NDA3NTE= | 1012 | For 1.0 update trove classifier in setup.py | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 5 | 2020-10-10T05:52:08Z | 2021-11-16T13:18:36Z | OWNER |
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724759588 | MDU6SXNzdWU3MjQ3NTk1ODg= | 29 | Add search highlighting snippets | simonw 9599 | open | 0 | 5 | 2020-10-19T16:00:48Z | 2021-08-26T20:23:11Z | MEMBER | dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/29/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
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732674148 | MDU6SXNzdWU3MzI2NzQxNDg= | 1062 | Refactor .csv to be an output renderer - and teach register_output_renderer to stream all rows | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 5 | 2020-10-29T21:25:02Z | 2022-09-28T14:09:54Z | OWNER | This can drive the upgrade of the |
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771608692 | MDU6SXNzdWU3NzE2MDg2OTI= | 14 | UNIQUE constraint failed: workouts.id | n8henrie 1234956 | open | 0 | 5 | 2020-12-20T15:11:20Z | 2023-07-10T14:46:52Z | NONE | I'm getting an error on my initial attempt to import data:
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healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-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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778380836 | MDU6SXNzdWU3NzgzODA4MzY= | 4 | Feature Request: Gmail | Btibert3 203343 | open | 0 | 5 | 2021-01-04T21:31:09Z | 2021-03-04T20:54:44Z | NONE | From takeout, I only exported my Gmail account. Ideally I could parse this into sqlite via this tool. |
google-takeout-to-sqlite 206649770 | issue | { "url": "https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/4/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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779088071 | MDU6SXNzdWU3NzkwODgwNzE= | 54 | Archive import appears to be broken on recent exports | jacobian 21148 | open | 0 | 5 | 2021-01-05T14:18:01Z | 2023-01-04T11:06:55Z | CONTRIBUTOR | I requested a Twitter export yesterday, and unfortunately they seem to have changed it such that So far I've ran into two issues. The first was easy to work around, but the second will take more investigation. If I can find the time I'll keep working on it and update this issue accordingly. The issues (so far): 1. Data seems to have moved to a
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twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/54/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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828858421 | MDU6SXNzdWU4Mjg4NTg0MjE= | 1258 | Allow canned query params to specify default values | wdccdw 1385831 | open | 0 | 5 | 2021-03-11T07:19:02Z | 2023-02-20T23:39:58Z | NONE | If I call a canned query that includes named parameters, without passing any parameters, datasette runs the query anyway, resulting in an HTTP status code 400, and a visible error in the browser, with only a link back to home. This means that one of the default links on https://site/database/ will lead to a broken page with no apparent way out. Is there any way to skip performing the query when parameters aren't supplied, but otherwise render the usual canned query page? Alternatively, can I supply default values for my parameters, either when defining my canned queries or when linking to the canned query page from the default database template. |
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830567275 | MDU6SXNzdWU4MzA1NjcyNzU= | 1259 | Research using CTEs for faster facet counts | simonw 9599 | open | 0 | 5 | 2021-03-12T22:19:49Z | 2021-03-21T22:55:31Z | OWNER | https://www.sqlite.org/changes.html#version_3_35_0
If a CTE creates a table that is used multiple time in that query, SQLite will now default to creating a materialized table for the duration of that query. This could be a big performance boost when applying faceting multiple times against the same query. Consider this example query:
Outputs: col | value | c -- | -- | -- country_long | United States of America | 8688 country_long | China | 4235 country_long | United Kingdom | 2603 country_long | Brazil | 2360 country_long | France | 2155 country_long | India | 1590 country_long | Germany | 1309 country_long | Canada | 1159 country_long | Spain | 829 country_long | Russia | 545 primary_fuel | Solar | 9662 primary_fuel | Hydro | 7155 primary_fuel | Wind | 5188 primary_fuel | Gas | 3922 primary_fuel | Coal | 2390 primary_fuel | Oil | 2290 primary_fuel | Biomass | 1396 primary_fuel | Waste | 1087 primary_fuel | Nuclear | 198 primary_fuel | Geothermal | 189 |
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849220154 | MDU6SXNzdWU4NDkyMjAxNTQ= | 1286 | Better default display of arrays of items | mroswell 192568 | open | 0 | 5 | 2021-04-02T13:31:40Z | 2021-06-12T12:36:15Z | CONTRIBUTOR | Would be great to have template filters that convert array fields to bullets and/or delimited lists upon table display:
Of course, the fields themselves would remain as facetable arrays. |
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849396758 | MDU6SXNzdWU4NDkzOTY3NTg= | 1287 | Upgrade to Python 3.9.4 | simonw 9599 | open | 0 | 5 | 2021-04-02T18:43:15Z | 2021-04-03T22:38:39Z | OWNER | Has some security fixes https://pythoninsider.blogspot.com/2021/04/python-393-and-389-are-now-available.html |
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920636216 | MDU6SXNzdWU5MjA2MzYyMTY= | 64 | feature: support "events" | khimaros 231498 | open | 0 | 5 | 2021-06-14T17:42:49Z | 2021-06-15T00:48:37Z | NONE | the GitHub API provides the ability to fetch all events for a given user, organization, or repository: https://docs.github.com/en/rest/reference/activity#list-events-for-the-authenticated-user this would allow users to export all of the issue comments, new issues, etc. that they created. something which is currently missing from the GitHub takeout exports. |
github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/64/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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924748955 | MDU6SXNzdWU5MjQ3NDg5NTU= | 1380 | Serve all db files in a folder | stratosgear 193463 | open | 0 | 5 | 2021-06-18T10:03:32Z | 2021-11-13T08:09:11Z | NONE | I tried to get the In more detail:
Is there an option/setting that I overlooked, or is this something missing? BTW, the Thanks! |
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977323133 | MDU6SXNzdWU5NzczMjMxMzM= | 1445 | Ability to search for text across all columns in a table | simonw 9599 | open | 0 | 5 | 2021-08-23T18:50:48Z | 2021-08-23T19:10:17Z | OWNER | When I'm working with new data I often find myself wanting to run a search for text embedded in ANY of the columns of a table, without having to even fully understand the schema first. I figured out a trick for doing that using a SQL-generated SQL query here: https://til.simonwillison.net/datasette/search-all-columns-trick But maybe this should be a core Datasette feature? Or a plugin? |
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1033678984 | PR_kwDOBm6k_c4tjgJ8 | 1495 | Allow routes to have extra options | fgregg 536941 | open | 0 | 5 | 2021-10-22T15:00:45Z | 2021-11-19T15:36:27Z | CONTRIBUTOR | simonw/datasette/pulls/1495 | Right now, datasette routes can only be a 2-tuple of If it was possible for datasette to handle extra options, like standard Django does, it would add flexibility for plugin authors. For example, if extra options were enabled, then it would be easy to make a single table the home page (#1284). This plugin would accomplish it. ```python from datasette import hookimpl from datasette.views.table import TableView @hookimpl def register_routes(datasette): return [ (r"^/$", TableView.as_view(datasette), {'db_name': 'DB_NAME', 'table': 'TABLE_NAME'}) ] ``` |
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1066563554 | I_kwDOCGYnMM4_knfi | 346 | Way to test SQLite 3.37 (and potentially other versions) in CI | simonw 9599 | open | 0 | 5 | 2021-11-29T22:21:06Z | 2021-11-29T23:12:49Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/sqlite-utils/issues/344#issuecomment-982076924 |
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1077620955 | I_kwDOBm6k_c5AOzDb | 1549 | Redesign CSV export to improve usability | fgregg 536941 | open | 0 | Datasette 1.0 3268330 | 5 | 2021-12-11T19:02:12Z | 2022-04-04T11:17:13Z | CONTRIBUTOR | Original title: Set content type for CSV so that browsers will attempt to download instead opening in the browser Right now, if the user clicks on the CSV related to a <s>table or a</s> query, the response header for the content type is "content-type: text/plain; charset=utf-8" Most browsers will try to open a file with this content-type in the browser. This is not what most people want to do, and lots of folks don't know that if they want to download the CSV and open it in the a spreadsheet program they next need to save the page through their browser. It would be great if the response header could be something like
which would lead browsers to open a download dialog. |
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1114628238 | I_kwDOBm6k_c5Cb-CO | 1613 | Improvements to help make Datasette a better tool for learning SQL | simonw 9599 | open | 0 | 5 | 2022-01-26T04:56:07Z | 2022-01-26T16:41:46Z | OWNER | Tracking issue for the general goal of making Datasette a better tool for learning SQL. |
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1121583414 | I_kwDOBm6k_c5C2gE2 | 1619 | JSON link on row page is 404 if base_url setting is used | simonw 9599 | open | 0 | 5 | 2022-02-02T07:09:53Z | 2023-03-24T15:38:04Z | OWNER | On my local environment:
Then hit http://127.0.0.1:3344/foo/bar/fixtures/table%2Fwith%2Fslashes.csv/3 But... that http://127.0.0.1:3344/foo/bar/foo/bar/fixtures/table%2Fwith%2Fslashes.csv/3?_format=json |
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1128466114 | I_kwDOCGYnMM5DQwbC | 406 | Creating tables with custom datatypes | psychemedia 82988 | open | 0 | 5 | 2022-02-09T12:16:31Z | 2022-09-15T18:13:50Z | NONE | Via https://stackoverflow.com/a/18622264/454773 I note the ability to register custom handlers for novel datatypes that can map into and out of things like sqlite From a quick look and a quick play, I didn't spot a way to do this in For example: ```python Via https://stackoverflow.com/a/18622264/454773import sqlite3 import numpy as np import io def adapt_array(arr): """ http://stackoverflow.com/a/31312102/190597 (SoulNibbler) """ out = io.BytesIO() np.save(out, arr) out.seek(0) return sqlite3.Binary(out.read()) def convert_array(text): out = io.BytesIO(text) out.seek(0) return np.load(out) Converts np.array to TEXT when insertingsqlite3.register_adapter(np.ndarray, adapt_array) Converts TEXT to np.array when selectingsqlite3.register_converter("array", convert_array) ``` ```python from sqlite_utils import Database db = Database('test.db') Reset the database connection to used the parsed datatypesqlite_utils doesn't seem to support eg:Database('test.db', detect_types=sqlite3.PARSE_DECLTYPES)db.conn = sqlite3.connect(db_name, detect_types=sqlite3.PARSE_DECLTYPES) Create a table the old fashioned waybut using the new custom data typevector_table_create = """ CREATE TABLE dummy (title TEXT, vector array ); """ cur = db.conn.cursor() cur.execute(vector_table_create) sqlite_utils doesn't appear to support custom types (yet?!)The following errors on the "array" datatype""" db["dummy"].create({ "title": str, "vector": "array", }) """ ``` We can then add / retrieve records from the database where the datatype of the ```python import numpy as np db["dummy"].insert({'title':"test1", 'vector':np.array([1,2,3])}) for row in db.query("SELECT * FROM dummy"): print(row['title'], row['vector'], type(row['vector'])) """ test1 [1 2 3] <class 'numpy.ndarray'> """ ``` It would be handy to be able to do this idiomatically in |
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1203943272 | I_kwDOBm6k_c5Hwrdo | 1713 | Datasette feature for publishing snapshots of query results | simonw 9599 | open | 0 | 5 | 2022-04-14T01:42:00Z | 2022-07-04T05:16:35Z | OWNER | https://twitter.com/simonw/status/1514392335718645760
A lot of people said they would find this useful. Probably going to build this as a plugin. |
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1236693079 | I_kwDOCGYnMM5JtnBX | 432 | Support `rows_where()`, `delete_where()` etc for attached alias databases | luxint 11597658 | open | 0 | 5 | 2022-05-16T06:38:58Z | 2022-06-14T22:16:48Z | NONE | Hi, I noticed Besides, |
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1271426387 | I_kwDOCGYnMM5LyG1T | 444 | CSV `extras_key=` and `ignore_extras=` equivalents for CLI tool | simonw 9599 | open | 0 | 5 | 2022-06-14T22:22:47Z | 2022-07-07T16:39:18Z | OWNER |
Originally posted by @simonw in https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155767915 |
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1310243385 | I_kwDOCGYnMM5OGLo5 | 456 | feature request: pivot command | fgregg 536941 | open | 0 | 5 | 2022-07-20T00:58:08Z | 2022-07-20T17:50:50Z | CONTRIBUTOR | pivoting long-format table to wide-format tables is pretty common and kind of pain. would love to see this feature in sqlite-utils! |
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1373224657 | I_kwDOCGYnMM5R2b7R | 488 | `sqlite-utils transform` should set empty strings to null when converting text columns to integer/float | simonw 9599 | open | 0 | 5 | 2022-09-14T15:51:30Z | 2022-12-23T17:38:55Z | OWNER |
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1432037325 | I_kwDOBm6k_c5VWyfN | 1879 | Make it easier to fix URL proxy problems | simonw 9599 | open | 0 | 5 | 2022-11-01T20:19:23Z | 2022-11-01T20:33:52Z | OWNER | This came up on Discord again today: figuring out how to run Datasette behind a proxy that might hide the incoming Host: header (and strip HTTPS) is really hard! https://discord.com/channels/823971286308356157/823971286941302908/1037012475322847263 |
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1605481359 | PR_kwDOBm6k_c5LDwrF | 2031 | Expand foreign key references in row view as well | tmcl-it 82332573 | open | 0 | 5 | 2023-03-01T18:43:09Z | 2023-03-24T18:35:25Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2031 | Unlike the table view, the single row view does not resolve foreign key references into labels. This patch extracts the foreign key reference expansion code from TableView.data() into a standalone function that is then called by both TableView.data() and RowView.data(). :books: Documentation preview :books:: https://datasette--2031.org.readthedocs.build/en/2031/ |
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1818838294 | I_kwDOCGYnMM5saUUW | 578 | Plugin hook for adding new output formats | simonw 9599 | open | 0 | 5 | 2023-07-24T17:29:18Z | 2023-08-07T15:41:49Z | OWNER |
https://discord.com/channels/823971286308356157/997738192360964156/1133076679011602432 |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/578/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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