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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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803356942 | MDU6SXNzdWU4MDMzNTY5NDI= | 1218 | /usr/local/opt/python3/bin/python3.6: bad interpreter: No such file or directory | robmarkcole 11855322 | open | 0 | 1 | 2021-02-08T09:07:00Z | 2021-02-23T12:12:17Z | NONE | Error as above, however I do have python3.8 and the readme indicates this is supported. ``` (venv) (base) Robins-MacBook:datasette robin$ ls /usr/local/opt/python3/bin/ .. pip3 python3 python3.8 ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1218/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1622640374 | I_kwDOCGYnMM5gt4b2 | 534 | ResourceWarning: unclosed file | djhenderson 1244826 | closed | 0 | 1 | 2023-03-14T03:02:18Z | 2023-05-08T19:56:29Z | 2023-05-08T19:56:29Z | NONE | Issuing either ``` py -Wdefault -m sqlite_utils insert dogs.db dogs dogs0.csv --csv [#############-----------------------] 36% [####################################] 100%C:\Users\Doug\AppData\Local\Programs\Python\Python311\Lib\site-packages\sqlite_utils\cli.py:1187: ResourceWarning: unclosed file <_io.TextIOWrapper name='dogs0.csv' encoding='utf-8-sig'> insert_upsert_implementation( ResourceWarning: Enable tracemalloc to get the object allocation traceback ``` or ``` set pythonwarnings=default sqlite-utils insert dogs.db dogs dogs0.csv --csv [#############-----------------------] 36% [####################################] 100%C:\Users\Doug\AppData\Local\Programs\Python\Python311\Lib\site-packages\sqlite_utils\cli.py:1187: ResourceWarning: unclosed file <_io.TextIOWrapper name='dogs0.csv' encoding='utf-8-sig'> insert_upsert_implementation( ResourceWarning: Enable tracemalloc to get the object allocation traceback ``` exhibits a ResourceWarning indicating that the CSV file being loaded is not closed. sqlite-utils --version sqlite-utils, version 3.30 py --version Python 3.11.2 Windows Version 10.0.19045 Build 19045 SQLite version 3.41.0 2023-02-21 18:09:37 | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/534/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1665053646 | I_kwDOBm6k_c5jPrPO | 2059 | "Deceptive site ahead" alert on Heroku deployment | mtdukes 1186275 | open | 0 | 1 | 2023-04-12T18:34:51Z | 2023-04-13T01:13:01Z | NONE | I deployed a fairly basic instance of Datasette (`datasette-auth-passwords` is the only plugin) using Heroku. The deployed URL now gives a "Deceptive site ahead" warning to users. Is there way around this? Maybe a way to add ownership verification [through Google's search console](https://search.google.com/search-console/welcome)? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/2059/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1180427792 | I_kwDOCGYnMM5GW-YQ | 421 | "Error: near "(": syntax error" when using sqlite-utils indexes CLI | learning4life 24938923 | closed | 0 | 8 | 2022-03-25T07:12:51Z | 2022-04-13T22:41:59Z | 2022-04-13T22:41:59Z | NONE | This bug relates to https://github.com/simonw/sqlite-utils/issues/408#issuecomment-1066139147 **New error when using CLI: "sqlite-utils indexes global.db --table"** ``` (app-root) sqlite-utils indexes global.db --table Error: near "(": syntax error (app-root) sqlite-utils --version sqlite-utils, version 3.25.1 (app-root) sqlite3 --version 3.36.0 2021-06-18 18:36:39 (app-root) python --version Python 3.8.11 ``` Dockerfile ``` FROM centos/python-38-centos7 USER root RUN yum update -y RUN yum upgrade -y # epel RUN yum -y install epel-release && yum clean all # SQLite RUN yum -y install zlib-devel geos geos-devel proj proj-devel freexl freexl-devel libxml2-devel WORKDIR /build/ COPY sqlite-autoconf-3360000.tar.gz ./ RUN tar -zxf sqlite-autoconf-3360000.tar.gz WORKDIR /build/sqlite-autoconf-3360000 RUN ./configure RUN make RUN make install # RUN /opt/app-root/bin/python3.8 -m pip install --upgrade pip RUN pip install sqlite-utils ``` | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/421/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
959999095 | MDU6SXNzdWU5NTk5OTkwOTU= | 1421 | "Query parameters" form shows wrong input fields if query contains "03:31" style times | j4mie 6988 | closed | 0 | 11 | 2021-08-04T07:29:04Z | 2021-08-09T03:41:07Z | 2021-08-09T03:33:02Z | NONE | Datasette version `0.58.1`. I'm guessing this is a bug in the code that looks for `:param`-style query parameters.. <img width="543" alt="image" src="https://user-images.githubusercontent.com/6988/128139832-ef9c5291-f3d7-4402-8625-b45d26b4e5bc.png"> | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1421/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
573583971 | MDU6SXNzdWU1NzM1ODM5NzE= | 689 | "Templates considered" comment broken in >=0.35 | chrishas35 35075 | closed | 0 | 6 | 2020-03-01T17:31:21Z | 2020-04-05T19:39:44Z | 2020-04-05T19:39:44Z | NONE | Noticed that the "Templates Considered" comment is missing in 0.37. Believe I traced it back to #664 as you can see it in https://v0-34.datasette.io/ but not https://v0-35.datasette.io/. Looking at the template context debug between the two you can see what is missing from 0.35 vs. 0.34: ```diff < "datasette_version": "0.34", < "app_css_hash": "ffa51a", < "select_templates": [ < "*index.html" < ], < "zip": "<class 'zip'>", < "body_scripts": [], < "extra_css_urls": "<generator object BaseView._asset_urls at 0x7f6529ac05f0>", < "extra_js_urls": "<generator object BaseView._asset_urls at 0x7f6529ac0660>", < "format_bytes": "<function format_bytes at 0x7f652a1588b0>", < "database_url": "<bound method BaseView.database_url of <datasette.views.index.IndexView object at 0x7f6529b03e50>>", < "database_color": "<bound method BaseView.database_color of <datasette.views.index.IndexView object at 0x7f6529b03e50>>" --- > "datasette_version": "0.35", > "database_url": "<bound method BaseView.database_url of <datasette.views.index.IndexView object at 0x7f6140dacd90>>", > "database_color": "<bound method BaseView.database_color of <datasette.views.index.IndexView object at 0x7f6140dacd90>>" ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/689/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
760312579 | MDU6SXNzdWU3NjAzMTI1Nzk= | 1134 | "_searchmode=raw" throws an index out of range error when combined with "_search_COLUMN" | clausjuhl 2181410 | closed | 0 | 4 | 2020-12-09T13:05:37Z | 2020-12-10T05:57:17Z | 2020-12-09T19:56:55Z | NONE | Hi Simon! Maybe it's just me, but when [using _searchmode=raw (trying to enable wildcard-searching) in combination with the "_search_COLUMN"-table argument](https://byraadsarkivet.aarhus.dk/db/cases?_searchmode=raw&_search_title=sundhedsfrem*), I get a list index out of range error. [When combining with the simpler "_search"-argument everything works, including wildcard-seaches.](https://byraadsarkivet.aarhus.dk/db/cases?_search=sundhedsfrem*&_searchmode=raw). Here's the traceback: ``` Traceback (most recent call last): File "/Users/cjk/.local/share/virtualenvs/minutes-jMDZ8Ssk/lib/python3.7/site-packages/datasette/utils/asgi.py", line 122, in route_path return await view(new_scope, receive, send) File "/Users/cjk/.local/share/virtualenvs/minutes-jMDZ8Ssk/lib/python3.7/site-packages/datasette/utils/asgi.py", line 196, in view request, **scope["url_route"]["kwargs"] File "/Users/cjk/.local/share/virtualenvs/minutes-jMDZ8Ssk/lib/python3.7/site-packages/datasette/views/base.py", line 204, in get request, database, hash, correct_hash_provided, **kwargs File "/Users/cjk/.local/share/virtualenvs/minutes-jMDZ8Ssk/lib/python3.7/site-packages/datasette/views/base.py", line 342, in view_get request, database, hash, **kwargs File "/Users/cjk/.local/share/virtualenvs/minutes-jMDZ8Ssk/lib/python3.7/site-packages/datasette/views/table.py", line 393, in data search_col = key.split("_search_", 1)[1] IndexError: list index out of range ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1134/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
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. ``` "Records-requests": { "tables": { "Some table": { "about": "This table has data." } } } ``` The text in `about` does not show up when I publish the data. But it shows up after I add a `"source"` parameter in the metadata. Is this intended? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/512/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1303169663 | I_kwDOCGYnMM5NrMp_ | 453 | 'unclosed file' warning when using insert_upsert_implementation from Python | makkus 311257 | closed | 0 | 1 | 2022-07-13T09:34:35Z | 2022-07-15T21:52:25Z | 2022-07-15T21:52:21Z | NONE | I'm using the `[insert_upsert_implementation](https://github.com/simonw/sqlite-utils/blob/main/sqlite_utils/cli.py)` function directly in my Python code to import a csv file with all the bells and whistles `sqlite-utils` provides, but I'm getting a resource warning that a io.TextWrapper object is not closed. The warning goes away when wrapping the code from [this line](https://github.com/simonw/sqlite-utils/blob/42440d6345c242ee39778045e29143fb550bd2c2/sqlite_utils/cli.py#L924) in a try/finally block like: ``` try: ... ... finally: decoded.close() ``` (might be that `sniff_buffer` must also be closed if non null, but I might be wrong) I suspect Python closes the reference automatically when the sqlite-utils cli run is done, but since my code doesn't exit, I'm getting the warning. Alternatively, it'd be cool if the 'import csv/tsv' functionality could be added directly to the Database class. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/453/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
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 `datasette package` I need to add an additional file to the image — in my case, it’s a sort of a deployment directive. I’ve worked out a way to do this after the image has been created, but it’s convoluted and brittle. So it’d be excellent if there was an additional option for this command, something like, like, `--copy`. I’d envision it looking something like: ```shell $ datasette package --copy /the/source/path:/the/target/path data.db ``` I’d be happy to help design, specify, implement, and test this feature, if you’d be interested. Thanks for the fantastic tools! | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/675/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
555832585 | MDU6SXNzdWU1NTU4MzI1ODU= | 661 | --port option to expose a port other than 8001 in "datasette package" | dvhthomas 134771 | closed | 0 | 3 | 2020-01-27T21:05:56Z | 2020-01-30T04:17:52Z | 2020-01-29T22:46:45Z | NONE | I see how to alter the port using `datasette serve -p XXX` per the docs. However, I'm packaging up to server the container on AppEngine flexible, which [requires](https://cloud.google.com/appengine/docs/flexible/custom-runtimes/build#listening_to_port_8080) that the container is serving traffic on port 8080. https://github.com/simonw/datasette/blob/7950105c278b140e6cb665c68b59df219870f9bc/Dockerfile#L41 Is there a way to inject a non-default port into the Dockerfile, or should I just do something like `sed` to replace 8001 with 8080 after `dataset package` has done it's thing? Thanks for the advice. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/661/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
771324837 | MDU6SXNzdWU3NzEzMjQ4Mzc= | 53 | --since support for favorites | anotherjesse 27 | closed | 0 | 1 | 2020-12-19T07:08:23Z | 2020-12-19T07:47:11Z | 2020-12-19T07:47:11Z | NONE | Having support for `--since` for updating your favorites would be ideal as the api is both slow and it only returns ~3k most recent favorites. https://twittercommunity.com/t/cant-get-all-favorite-tweets-by-rest-api/22007/3 The api seems to take an optional `since_id` parameter - https://developer.twitter.com/en/docs/twitter-api/v1/tweets/post-and-engage/api-reference/get-favorites-list | twitter-to-sqlite 206156866 | issue | {"url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/53/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1345452427 | I_kwDODLZ_YM5QMfmL | 11 | -a option is used for "--auth" and for "--all" | fernand0 2467 | closed | 0 | 3 | 2022-08-21T10:50:48Z | 2022-08-21T21:11:57Z | 2022-08-21T21:11:57Z | NONE | I'm not sure which option is best, instead of -a -all. | pocket-to-sqlite 213286752 | issue | {"url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/11/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
702386948 | MDU6SXNzdWU3MDIzODY5NDg= | 159 | .delete_where() does not auto-commit (unlike .insert() or .upsert()) | spdkils 11712349 | open | 0 | 9 | 2020-09-16T01:55:52Z | 2023-04-01T17:21:05Z | NONE | When you use the delete_where() function on a table, it never commits.... Is that intentional? | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/159/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1199158210 | I_kwDOCGYnMM5HebPC | 423 | .extract() doesn't set foreign key when extracted columns contain NULL value | jlieth 37447552 | closed | 0 | 1 | 2022-04-10T20:05:30Z | 2022-08-27T14:45:04Z | 2022-08-27T14:45:04Z | NONE | I've run into an issue with `extract` and I don't believe this is the intended behaviour. I'm working with a database with music listening information. Currently it has one large table `listens` that contains all information. I'm trying to normalize the database by extracting relevant columns to separate tables (`artists`, `tracks`, `albums`). Not every track has an album. A simplified demonstration with just `track_title` and `album_title` columns: ```ipython In [1]: import sqlite_utils In [2]: db = sqlite_utils.Database(memory=True) In [3]: db["listens"].insert_all([ ...: {"id": 1, "track_title": "foo", "album_title": "bar"}, ...: {"id": 2, "track_title": "baz", "album_title": None} ...: ], pk="id") Out[3]: <Table listens (id, track_title, album_title)> ``` The track in the first row has an album, the second track doesn't. Now I extract album information into a separate column: ```ipython In [4]: db["listens"].extract(columns=["album_title"], table="albums", fk_column="album_id") Out[4]: <Table listens (id, track_title, album_id)> In [5]: list(db["albums"].rows) Out[5]: [{'id': 1, 'album_title': 'bar'}, {'id': 2, 'album_title': None}] In [6]: list(db["listens"].rows) Out[6]: [{'id': 1, 'track_title': 'foo', 'album_id': 1}, {'id': 2, 'track_title': 'baz', 'album_id': None}] ``` This behaves as expected -- the `album` table contains entries for both the existing album and the NULL album. The `listens` table has a foreign key only for the first row (since the album in the second row was empty). Now I want to extract the track information as well. Album information belongs to the track so I want to extract both columns to a new table. ```ipython In [7]: db["listens"].extract(columns=["track_title", "album_id"], table="tracks", fk_column="track_id") Out[7]: <Table listens (id, track_id)> In [8]: list(db["tracks"].rows) Out[8]: [{'id': 1, 'track_title': 'foo', 'album_id': 1}, {'id': 2, 'track_title': 'baz', 'album_id': None}] In [9]: list(db["… | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/423/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
435819321 | MDU6SXNzdWU0MzU4MTkzMjE= | 436 | 400 Error when trying to register new user via https://publish.datasettes.com/ | nniiicc 317694 | closed | 0 | 1 | 2019-04-22T17:55:00Z | 2021-01-04T20:15:42Z | 2021-01-04T20:15:41Z | NONE | Behavior: When registering a new user via Zeit - confirmation is sent and screen acknowledges registered user... When clicking grant access the next screen is a white 400 error message. Replicated: Chrome and Firefox; 2 different email accounts | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/436/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
951817328 | MDU6SXNzdWU5NTE4MTczMjg= | 12 | 403 when getting token | treyhunner 285352 | open | 0 | 1 | 2021-07-23T18:43:26Z | 2021-10-12T18:31:57Z | NONE | I tried to use https://your-foursquare-oauth-token.glitch.me/ to get my Swarm auth token and got a 403 after I clicked the Allow button: ![image](https://user-images.githubusercontent.com/285352/126826478-60e53614-263d-40bb-9f1d-c1a676644eb0.png) I'm not sure if this is the right repo to report this in | swarm-to-sqlite 205429375 | issue | {"url": "https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/12/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
810397025 | MDU6SXNzdWU4MTAzOTcwMjU= | 1228 | 500 error caused by faceting if a column called `n` exists | Kabouik 7107523 | closed | 0 | 5 | 2021-02-17T17:41:20Z | 2022-03-19T06:44:40Z | 2022-03-19T01:38:04Z | NONE | I recently discovered `datasette` thanks to your great talk at FOSDEM and would like to use it for some projects. However, when trying to use it on databases created from some csv ot tsv files, I am sometimes getting this issue when going to http://127.0.0.1:8001/databasetest/databasetest and I don't exactly understand what it refers to. So far, I couldn't find anything relevant when reviewing the raw text files that could explain this issue, nor could I find something obvious between the files that generate this issue and those that don't. Does the error ring a bell and, if so, could you please point me to the right direction? ``` $ datasette databasetest.db INFO: Started server process [1408482] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://127.0.0.1:8001 (Press CTRL+C to quit) INFO: 127.0.0.1:56394 - "GET / HTTP/1.1" 200 OK INFO: 127.0.0.1:56394 - "GET /-/static/app.css?4e362c HTTP/1.1" 200 OK INFO: 127.0.0.1:56396 - "GET /-/static-plugins/datasette_vega/main.2acbb312.css HTTP/1.1" 200 OK INFO: 127.0.0.1:56398 - "GET /-/static-plugins/datasette_vega/main.08f5d3d8.js HTTP/1.1" 200 OK Traceback (most recent call last): File "/home/kabouik/.local/lib/python3.7/site-packages/datasette/app.py", line 1099, in route_path response = await view(request, send) File "/home/kabouik/.local/lib/python3.7/site-packages/datasette/views/base.py", line 147, in view request, **request.scope["url_route"]["kwargs"] File "/home/kabouik/.local/lib/python3.7/site-packages/datasette/views/base.py", line 121, in dispatch_request return await handler(request, *args, **kwargs) File "/home/kabouik/.local/lib/python3.7/site-packages/datasette/views/base.py", line 260, in get request, database, hash, correct_hash_provided, **kwargs File "/home/kabouik/.local/lib/python3.7/site-packages/datasette/views/base.py", line 434, in view_get request, database, hash, **kwargs File "/home/kabouik/.loc… | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1228/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
292011379 | MDU6SXNzdWUyOTIwMTEzNzk= | 184 | 500 from missing table name | carlmjohnson 222245 | closed | 0 | 4 | 2018-01-26T19:46:45Z | 2019-05-21T16:17:29Z | 2018-04-13T18:18:59Z | NONE | https://github.com/simonw/datasette/blob/56623e48da5412b25fb39cc26b9c743b684dd968/datasette/app.py#L517-L519 throws an error if it gets an empty list back. Simplest solution is to write a helper func that just says ```python result = list(await self.execute(name, sql, params) if result: return result[0][0] ``` and use it anywhere `[0][0]` is now. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/184/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
568091133 | MDU6SXNzdWU1NjgwOTExMzM= | 676 | ?_searchmode=raw option for running FTS searches without escaping characters | tunguyenatwork 58088336 | closed | 0 | 9 | 2020-02-20T06:56:57Z | 2020-02-25T05:57:24Z | 2020-02-25T05:56:04Z | NONE | After the version 0.34. I am not able to use the wildchar in the _search option( or the full text search). It will not return any result unless I specify the whole word for text search. If I use 'match :search || "*" ' in the sql statement then it will work as expected. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/676/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
995098231 | MDU6SXNzdWU5OTUwOTgyMzE= | 1470 | ?_sort=rowid with _next= returns error | eigenfoo 19851673 | closed | 0 | 4 | 2021-09-13T16:36:15Z | 2021-10-18T19:30:15Z | 2021-10-10T01:15:03Z | NONE | For example: - Go to https://cryptics.eigenfoo.xyz/clues/clues?_next=100 (this is the second page of results in a Datasette site) - Search anything using the FTS search bar. For example, searching for `hello` will take you to https://cryptics.eigenfoo.xyz/clues/clues?_search=hello&_sort=rowid&_next=100 - A `500 Error: list index out of range` is raised. This is because the search URL includes the `&_next=100` UTM parameter, carried over from where the FTS search was run. However, there isn't a second page in the search results, so a `list index out of range` error is raised. You can confirm that removing this UTM parameter from the URL returns the appropriate search results. The FTS search request should strip any `_next` UTM parameter. --- ```bash datasette, version 0.58.1 sqlite-utils, version 3.17 ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1470/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
277589569 | MDU6SXNzdWUyNzc1ODk1Njk= | 155 | A primary key column that has foreign key restriction associated won't rendering label column | wsxiaoys 388154 | closed | 0 | Custom templates edition 2949431 | 4 | 2017-11-29T00:40:02Z | 2017-12-07T05:39:53Z | 2017-12-07T05:39:53Z | NONE | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/155/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
448189298 | MDU6SXNzdWU0NDgxODkyOTg= | 486 | Ability to add extra routes and related templates | clausjuhl 2181410 | closed | 0 | 2 | 2019-05-24T14:04:25Z | 2019-05-24T14:43:28Z | 2019-05-24T14:43:09Z | NONE | Hi Simon Thank for an excellent job! Datasette is such an obviously good idea (once you have that idea!) and so well done. The only thing that I miss, is the ability to add extras routes (with associated jinja2-templates). For most of the datasets, that I would like to publish, I would also like at least a page, that describes the data (semantics, provenance, biases...) and a page explaining our cookie- and privacy-policies (which would allows us to use something like Goggle Analytics). | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/486/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
276842536 | MDU6SXNzdWUyNzY4NDI1MzY= | 153 | Ability to customize presentation of specific columns in HTML view | ftrain 20264 | closed | 0 | Custom templates edition 2949431 | 14 | 2017-11-26T17:46:11Z | 2017-12-10T02:08:45Z | 2017-12-07T06:17:33Z | NONE | This ties into https://github.com/simonw/datasette/issues/3 in some ways. It would be great to have some adaptability in the HTML views and to specific some columns as displaying in certain ways. - [x] 1. **Auto-parsing URIs into in-browser links.** Why? Lots of public data around cultural commons stuff links to a specific URL. This would be a great utility to turn on at the command line, just parse everything for URLs. Maybe they need to be underlined or represented in a different way than internal URLs. - [x] 2. **Ability to identify a column as plain/preformatted text.** Why? Was trying to import the Enron emails, the body collapses. Hard to read. These fields also tend to screw up the ability to scan a table view. If you knew it was text the system could set an `overflow` property on the relevant CSS, so you could still scan. - [x] 3. **Ability to identify a column as HTML.** Why? I want to spider some stuff and drop sections into SQLite, and just keep them as HTML. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/153/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | |||||
1754174496 | I_kwDOCGYnMM5ojpQg | 558 | Ability to define unique columns when creating a table | aguinane 1910303 | open | 0 | 0 | 2023-06-13T06:56:19Z | 2023-06-13T06:56:19Z | NONE | When creating a new table, it would be good to have an option to set unique columns similar to how not_null is set. ```python from sqlite_utils import Database columns = {"mRID": str, "name": str} db = Database("example.db") db["ExampleTable"].create(columns, pk="mRID", not_null=["mRID"], if_not_exists=True) db["ExampleTable"].create_index(["mRID"], unique=True, if_not_exists=True) ``` So something like this would add the UNIQUE flag to the table definition. ```python db["ExampleTable"].create(columns, pk="mRID", not_null=["mRID"], unique=["mRID"], if_not_exists=True) ``` ```sql CREATE TABLE ExampleTable ( mRID TEXT PRIMARY KEY NOT NULL UNIQUE, name TEXT ); ``` | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/558/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1382457780 | I_kwDOCGYnMM5SZqG0 | 490 | Ability to insert multi-line files | jeqo 6180701 | closed | 0 | 4 | 2022-09-22T13:29:22Z | 2022-09-26T18:24:44Z | 2022-09-23T16:37:58Z | NONE | I was looking into how to parse application log files that contain multiline text (e.g. Java stack traces) into sqlite. I can see that at the moment `--lines` helps, but falls short when processing multi-line texts. I wonder if this functionality would be useful for sqlite-utils. A similar approach to Elastic logstash/filebeat can be adopted: https://www.elastic.co/guide/en/beats/filebeat/current/multiline-examples.html Potential changes: - add a `--multiline` option - additional properties for - multiline-pattern (regex expression) - multiline-negate: true/false - multiline-what: previous or next Or if this is achievable in a different way, please share. Thanks! | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/490/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
480961330 | MDU6SXNzdWU0ODA5NjEzMzA= | 54 | Ability to list views, and to access db["view_name"].rows / rows_where / etc | ftrain 20264 | closed | 0 | 5 | 2019-08-15T02:00:28Z | 2019-08-23T12:41:09Z | 2019-08-23T12:20:15Z | NONE | The docs show me how to create a view via `db.create_view()` but I can't seem to get back to that view post-creation; if I query it as a table it returns `None`, and it doesn't appear in the table listing, even though querying the view works fine from inside the sqlite3 command-line. It'd be great to have the view as a pseudo-table, or if the python/sqlite3 module makes that hard to pull off (I couldn't figure it out), to have that edge-case documented next to the `db.create_view()` docs. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/54/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1383646615 | I_kwDOCGYnMM5SeMWX | 491 | Ability to merge databases and tables | sgraaf 8904453 | open | 0 | 7 | 2022-09-23T11:10:55Z | 2023-06-14T22:14:24Z | NONE | Hi! Let me firstly say that I am a big fan of your work -- I follow your tweets and blog posts with great interest 😄. Now onto the matter at hand: I think it would be great if `sqlite-utils` included a `merge` or `combine` command, with the purpose of combining different SQLite databases into a single SQLite database. This way, the newly "merged" database would contain all differently named tables contained in the databases to be merged as-is, as well a concatenation of all tables of the same name. This could look something like this: ```bash sqlite-utils merge cats.db dogs.db > animals.db ``` I imagine this is rather straightforward if all databases involved in the merge contain differently named tables (i.e. no chance of conflicts), but things get slightly more complicated if two or more of the databases to be merged contain tables with the same name. Not only do you have to "do something" with the primary key(s), but these tables could also simply have different schemas (and therefore be incompatible for concatenation to begin with). Anyhow, I would love your thoughts on this, and, if you are open to it, work together on the design and implementation! | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/491/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
723708310 | MDU6SXNzdWU3MjM3MDgzMTA= | 188 | About loading spatialite | aborruso 30607 | closed | 0 | 1 | 2020-10-17T08:47:02Z | 2022-02-05T00:04:26Z | 2020-10-17T08:52:58Z | NONE | Hi @simonw , If I run ``` sqlite3 .load /usr/local/lib/mod_spatialite.so select spatialite_version(); ``` I have `5.0.0`. ![image](https://user-images.githubusercontent.com/30607/96332706-d8cd3300-1065-11eb-906b-daf99963198e.png) If I run ``` sqlite-utils :memory: "select spatialite_version()" --load-extension=spatialite ``` I have ``` Traceback (most recent call last): File "/home/aborruso/.local/bin/sqlite-utils", line 8, in <module> sys.exit(cli()) File "/home/aborruso/.local/lib/python3.8/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/home/aborruso/.local/lib/python3.8/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/home/aborruso/.local/lib/python3.8/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/aborruso/.local/lib/python3.8/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/aborruso/.local/lib/python3.8/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/home/aborruso/.local/lib/python3.8/site-packages/sqlite_utils/cli.py", line 936, in query _load_extensions(db, load_extension) File "/home/aborruso/.local/lib/python3.8/site-packages/sqlite_utils/cli.py", line 1326, in _load_extensions db.conn.load_extension(ext) TypeError: argument 1 must be str, not None ``` How to load properly spatialite extension in sqlite-utils? Thank you very muc | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/188/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
791237799 | MDU6SXNzdWU3OTEyMzc3OTk= | 1196 | Access Denied Error in Windows | QAInsights 2826376 | open | 0 | 2 | 2021-01-21T15:40:40Z | 2021-04-14T19:28:38Z | NONE | I am trying to publish a db to vercel. But while issuing the below command throwing `Access Denied` error which is leading to `RecursionError: maximum recursion depth exceeded while calling a Python object`. I am using PyCharm and Python 3.9. I have reinstalled both and launched PyCharm as Admin in Windows 10. But still the issue persists. Issued command `datasette publish vercel jmeter.db --project jmeter --install datasette-vega` PS: localhost is working fine. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1196/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
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? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/499/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
705057955 | MDU6SXNzdWU3MDUwNTc5NTU= | 969 | Add --tar option to "datasette publish heroku" | betatim 1448859 | closed | 0 | Datasette 0.50 5971510 | 3 | 2020-09-20T06:54:53Z | 2020-10-08T23:55:59Z | 2020-10-08T23:30:59Z | NONE | This issue is about how best to pass additional options to tools used for publishing datasettes. A concrete example is wanting to pass the `--tar` flag to the heroku CLI tool. I think there are at least two options for doing this: documentation for each publishing tool to explain how to set flags via env variables (if possible) or building a mechanism that lets users pass additional flags through datasette. When using `datasette publish heroku binder-launches.db --extra-options="--config facet_time_limit_ms:35000 --config sql_time_limit_ms:35000" --name=binderlytics --install=datasette-vega` to publish https://binderlytics.herokuapp.com/ the following error happens: ``` › Warning: heroku update available from 7.42.1 to 7.43.0. › Warning: heroku update available from 7.42.1 to 7.43.0. › Warning: heroku update available from 7.42.1 to 7.43.0. Setting WEB_CONCURRENCY and restarting ⬢ binderlytics... done, v13 WEB_CONCURRENCY: 1 › Warning: heroku update available from 7.42.1 to 7.43.0. ▸ Couldn't detect GNU tar. Builds could fail due to decompression errors ▸ See https://devcenter.heroku.com/articles/platform-api-deploying-slugs#create-slug-archive ▸ Please install it, or specify the '--tar' option ▸ Falling back to node's built-in compressor buffer.js:358 throw new ERR_INVALID_OPT_VALUE.RangeError('size', size); ^ RangeError [ERR_INVALID_OPT_VALUE]: The value "3303763968" is invalid for option "size" at Function.alloc (buffer.js:367:3) at new Buffer (buffer.js:281:19) at Readable.<anonymous> (/Users/thead/.local/share/heroku/node_modules/archiver-utils/index.js:39:15) at Readable.emit (events.js:322:22) at endReadableNT (/Users/thead/.local/share/heroku/node_modules/readable-stream/lib/_stream_readable.js:1010:12) at processTicksAndRejections (internal/process/task_queues.js:84:21) { code: 'ERR_INVALID_OPT_VALUE' } ``` After installing GNU tar with `brew install gnu-tar` and modifying `datasette/publish/heroku.py` to incl… | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/969/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | |||||
991575770 | MDExOlB1bGxSZXF1ZXN0NzMwMDIwODY3 | 1467 | Add Authorization header when CORS flag is set | jameslittle230 3058200 | closed | 0 | 3 | 2021-09-08T22:14:41Z | 2021-10-17T02:29:07Z | 2021-10-14T18:54:18Z | NONE | simonw/datasette/pulls/1467 | This PR adds the [`Access-Control-Allow-Headers`](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Access-Control-Allow-Headers) flag when CORS mode is enabled. This would fix https://github.com/simonw/datasette-auth-tokens/issues/4. When making cross-origin requests, the server must respond with all allowable HTTP headers. A Datasette instance using auth tokens must accept the `Authorization` HTTP header in order for cross-origin authenticated requests to take place. Please let me know if there's a better way of doing this! I couldn't figure out a way to change the app's response from the plugin itself, so I'm starting here. If you'd rather this logic live in the plugin, I'd love any guidance you're able to give. | datasette 107914493 | pull | {"url": "https://api.github.com/repos/simonw/datasette/issues/1467/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
1553425465 | I_kwDOCGYnMM5cl2Q5 | 522 | Add COLUMN_TYPE_MAPPING for timedelta | maport 81377 | open | 0 | 0 | 2023-01-23T16:49:54Z | 2023-01-23T16:49:54Z | NONE | Currently trying to create a column with Python type `datetime.timedelta` results in an error: ``` >>> from sqlite_utils import Database >>> db = Database("test.db") >>> test_tbl = db['test'] >>> test_tbl.insert({'col1': datetime.timedelta()}) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.10/dist-packages/sqlite_utils/db.py", line 2979, in insert return self.insert_all( File "/usr/local/lib/python3.10/dist-packages/sqlite_utils/db.py", line 3082, in insert_all self.create( File "/usr/local/lib/python3.10/dist-packages/sqlite_utils/db.py", line 1574, in create self.db.create_table( File "/usr/local/lib/python3.10/dist-packages/sqlite_utils/db.py", line 961, in create_table sql = self.create_table_sql( File "/usr/local/lib/python3.10/dist-packages/sqlite_utils/db.py", line 852, in create_table_sql column_type=COLUMN_TYPE_MAPPING[column_type], KeyError: <class 'datetime.timedelta'> ``` The reason this would be useful is that `MySQLdb` uses `timedelta` for MySQL `TIME` columns: ``` >>> import MySQLdb >>> conn = MySQLdb.connect(host='database', user='user', passwd='pw') >>> csr = conn.cursor() >>> csr.execute("SELECT CAST('11:20' AS TIME)") >>> tuple(csr) ((datetime.timedelta(seconds=40800),),) ``` So currently any attempt to convert a MySQL DB with a `TIME` column using `db-to-sqlite` will result in the above error. I was rather surprised that `MySQLdb` uses `timedelta` for `TIME` columns but I see that [this column type](https://dev.mysql.com/doc/refman/8.0/en/time.html) is intended for time intervals as well as the time of day so it makes sense. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/522/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
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 ? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/176/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1353074021 | I_kwDOCGYnMM5QpkVl | 474 | Add an option for specifying column names when inserting CSV data | hubgit 14294 | open | 0 | 3 | 2022-08-27T15:29:59Z | 2022-08-31T03:42:36Z | NONE | https://sqlite-utils.datasette.io/en/stable/cli.html#csv-files-without-a-header-row > The first row of any CSV or TSV file is expected to contain the names of the columns in that file. > If your file does not include this row, you can use the `--no-headers` option to specify that the tool should not use that fist row as headers. > If you do this, the table will be created with column names called `untitled_1` and `untitled_2` and so on. You can then rename them using the `sqlite-utils transform ... --rename` command. It would be nice to be able to specify the column names when importing CSV/TSV without a header row, via an extra command line option. (renaming a column of a large table can take a long time, which makes it an inconvenient workaround) | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/474/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
476852861 | MDU6SXNzdWU0NzY4NTI4NjE= | 568 | Add database_color as a configurable option | LBHELewis 50906992 | open | 0 | 0 | 2019-08-05T13:14:45Z | 2019-08-05T13:14:45Z | NONE | This would be really useful as it would allow us to tie in with colour schemes. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/568/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
792297010 | MDExOlB1bGxSZXF1ZXN0NTYwMjA0MzA2 | 224 | Add fts offset docs. | polyrand 37962604 | closed | 0 | 2 | 2021-01-22T20:50:58Z | 2021-02-14T19:31:06Z | 2021-02-14T19:31:06Z | NONE | simonw/sqlite-utils/pulls/224 | The limit can be passed as a string to the query builder to have an offset. I have tested it using the shorthand `limit=f"15, 30"`, the standard syntax should work too. | sqlite-utils 140912432 | pull | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/224/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
1039037439 | PR_kwDOCGYnMM4t0uaI | 333 | Add functionality to read Parquet files. | Florents-Tselai 2118708 | closed | 0 | 3 | 2021-10-28T23:43:19Z | 2021-11-25T19:47:35Z | 2021-11-25T19:47:35Z | NONE | simonw/sqlite-utils/pulls/333 | I needed this for a project of mine, and I thought it'd be useful to have it in sqlite-utils (It's also mentioned in #248 ). The current implementation works (data is read & data types are inferred correctly. I've added a single straightforward test case, but @simonw please let me know if there are any non-obvious flags/combinations I should test too. | sqlite-utils 140912432 | pull | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/333/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
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. | dogsheep.github.io 214746582 | issue | {"url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
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: - My Activity - Location History In addition unless you specify that "My Activity" is downloaded in JSON format the default is HTML. This then causes the `google-takeout-to-sqlite my-activity takeout.db takeout.zip` command to fail as it only contains html files not json files. Thanks | google-takeout-to-sqlite 206649770 | issue | {"url": "https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
697162939 | MDU6SXNzdWU2OTcxNjI5Mzk= | 20 | Add more tags so people can find your project. | ran88dom99 7902810 | open | 0 | 0 | 2020-09-09T21:14:09Z | 2020-09-09T21:14:09Z | NONE | quantified-self habit-tracking google-fit time-tracking wearables quantifiedself for example | dogsheep-beta 197431109 | issue | {"url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/20/reactions", "total_count": 1, "+1": 0, "-1": 1, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
322741659 | MDExOlB1bGxSZXF1ZXN0MTg3NzcwMzQ1 | 258 | Add new metadata key persistent_urls which removes the hash from all database urls | philroche 247131 | closed | 0 | 3 | 2018-05-14T09:39:18Z | 2018-05-21T07:38:15Z | 2018-05-21T07:38:15Z | NONE | simonw/datasette/pulls/258 | Add new metadata key "persistent_urls" which removes the hash from all database urls when set to "true" This PR is just to gauge if this, or something like it, is something you would consider merging? I understand the reason why the substring of the hash is included in the url but there are some use cases where the urls should persist across deployments. For bookmarks for example or for scripts that use the JSON API. This is the initial commit for this feature. Tests and documentation updates to follow. | datasette 107914493 | pull | {"url": "https://api.github.com/repos/simonw/datasette/issues/258/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
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. See also: https://github.com/simonw/datasette/issues/292 | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/362/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1453134846 | I_kwDOCGYnMM5WnRP- | 513 | Add or document streamlined workflow for importing Datasette csv / json exports | henry501 19328961 | open | 0 | 0 | 2022-11-17T10:54:47Z | 2022-11-17T10:54:47Z | NONE | I'm working on some small front-end enhancements to the laion-aesthetic-datasette project, and I wanted to partially populate a database directly using exports from the existing Datasette instance instead of downloading the parquet files and creating my own multi-GB database. There have been a number of small issues that are certainly related to my relative lack of familiarity with the toolkit, but that are still surprising. For example: a CSV export of the images table (http://laion-aesthetic.datasette.io/laion-aesthetic-6pls.csv?sql=select+rowid%2C+url%2C+text%2C+domain_id%2C+width%2C+height%2C+similarity%2C+punsafe%2C+pwatermark%2C+aesthetic%2C+hash%2C+__index_level_0__+from+images+order+by+random%28%29+limit+100) has nested single quotes, double quotes, and commas that aren't handled by rows_from_file. Similarly, the json output has to be manually transformed to add the column names and remove extraneous information before sqlite_utils can import it. I was able to work through these issues, but as an enhancement it would be really helpful to create or document a clear workflow that avoids the friction of this data transformation. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/513/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
282971961 | MDU6SXNzdWUyODI5NzE5NjE= | 175 | Add project topic "automatic-api" | dbohdan 3179832 | closed | 0 | 1 | 2017-12-18T18:09:17Z | 2017-12-21T18:33:55Z | 2017-12-21T18:33:55Z | NONE | Hi there! Could you add the ~~tag~~ topic `automatic-api` to your repository? I am [making a list](https://github.com/dbohdan/automatic-api) of all projects that automatically expose APIs to databases. (Your Show HN made me do it. :-) I knew about PostgREST and PostGraphQL, but it took adding Datasette to sell me on the concept.) They will be easier to discover if there is a standard GitHub tag, and `automatic-api` seems as good a candidate as any. Two projects [already use it](https://github.com/topics/automatic-api). | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/175/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
418329842 | MDU6SXNzdWU0MTgzMjk4NDI= | 415 | Add query parameter to hide SQL textarea | ad-si 36796532 | closed | 0 | 3 | 2019-03-07T14:11:30Z | 2019-03-15T09:30:57Z | 2019-03-15T05:22:43Z | NONE | It would be cool if there was a query parameter to hide / remove the SQL textarea. Then I could simply save a bookmark for a certain query and open it to see the data without having to scroll below the (long) SQL query first. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/415/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1251710928 | I_kwDOBm6k_c5Km5fQ | 1751 | Add scrollbars to table presentation in default layout | knutwannheden 408765 | closed | 0 | 1 | 2022-05-28T19:44:57Z | 2022-05-28T19:52:17Z | 2022-05-28T19:52:17Z | NONE | (As you will be able to tell from the terminology I use, I am not a frontend guy, but I hope you will understand.) When a table is wide and needs horizontal scrolling to see the columns towards the end, the user needs to scroll horizontally. However, since the container for the HTML table (`div` with class `table-wrapper`) isn't limited by the window size, I first need to vertically scroll near to the bottom of the page in order to scroll horizontally. Then I can scroll back up again. This isn't very user friendly. Instead, I think it would make sense to constrain the table's size (when necessary), so that the vertical and horizontal scrollbars either always are visible or at least not far out of reach. I understand that I could provide my own template and / or CSS, but I think it would probably make sense to adjust the default in this regard. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1751/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
893537744 | MDU6SXNzdWU4OTM1Mzc3NDQ= | 1331 | Add support for Jinja2 version 3.0 | MarkusH 475613 | closed | 0 | 10 | 2021-05-17T17:14:36Z | 2021-05-23T00:57:39Z | 2021-05-23T00:57:39Z | NONE | A week ago, [The Pallets Project](https://github.com/pallets) released [new major versions of several of its projects](https://palletsprojects.com/blog/flask-2-0-released/). Among those updates is one for Jinja2, which bumps it to version 3.0.0. I'd like for datasette to support Jinaj2 version 3.0. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1331/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
842765105 | MDExOlB1bGxSZXF1ZXN0NjAyMjYxMDky | 6 | Add testres-db tool | ligurio 1151557 | closed | 0 | 1 | 2021-03-28T15:43:23Z | 2022-02-16T05:12:05Z | 2022-02-16T05:12:05Z | NONE | dogsheep/dogsheep.github.io/pulls/6 | dogsheep.github.io 214746582 | pull | {"url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/6/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | ||||||
1351949898 | PR_kwDOBm6k_c492dPw | 1793 | Added a useful resource | MobiWancode 111973926 | closed | 0 | 1 | 2022-08-26T08:41:26Z | 2022-09-06T00:41:25Z | 2022-09-06T00:41:24Z | NONE | simonw/datasette/pulls/1793 | Have added a useful resource about the types of databases in SQL i.e SQLite, PostgreSQL, MySQL &, etc from the scaler topics. <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--1793.org.readthedocs.build/en/1793/ <!-- readthedocs-preview datasette end --> | datasette 107914493 | pull | {"url": "https://api.github.com/repos/simonw/datasette/issues/1793/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
499954048 | MDExOlB1bGxSZXF1ZXN0MzIyNTI5Mzgx | 578 | Added support for multi arch builds | heussd 887095 | closed | 0 | 3 | 2019-09-29T18:43:03Z | 2019-11-13T19:13:15Z | 2019-11-13T19:13:15Z | NONE | simonw/datasette/pulls/578 | Minor changes in Dockerfile and new Makefile to support Docker multi architecture builds. `make`will build one image per architecture and push them as one Docker manifest to Docker Hub. Feel free to change `IMAGE_NAME ` to `datasetteproject/datasette` to update your official Docker Hub image(s). | datasette 107914493 | pull | {"url": "https://api.github.com/repos/simonw/datasette/issues/578/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
593751293 | MDU6SXNzdWU1OTM3NTEyOTM= | 97 | Adding a "recreate" flag to the `Database` constructor | betatim 1448859 | closed | 0 | 4 | 2020-04-04T05:41:10Z | 2020-04-15T14:29:31Z | 2020-04-13T03:52:29Z | NONE | I have a [script](https://github.com/betatim/binder-datasette/blob/master/create-db.ipynb) that imports data into a sqlite DB. When I re-run that script I'd like to remove the existing sqlite DB, instead of adding to it. The pragmatic answer is to add the check and file deletion to my script. However I thought it would be easy and useful for others to add a `recreate=True` flag to `db = sqlite_utils.Database("binder-launches.db")`. After taking a look at the code for it I am not so sure any more. This is because the connection string could be a URL (or "connection string") like `"file:///tmp/foo.db"`. I don't know what the equivalent of `os.path.exists()` is for a connection string or how to detect that something is a connection string and raise an error "can't use recreate=True and conn_string at the same time". Does anyone have an idea/suggestion where to start investigating? | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/97/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
449818897 | MDU6SXNzdWU0NDk4MTg4OTc= | 24 | Additional Column Constraints? | IgnoredAmbience 98555 | closed | 0 | 6 | 2019-05-29T13:47:03Z | 2019-06-13T06:47:17Z | 2019-06-13T06:30:26Z | NONE | I'm looking to import data from XML with a pre-defined schema that maps fairly closely to a relational database. In particular, it has explicit annotations for when fields are required, optional, or when a default value should be inferred. Would there be value in adding the ability to define `NOT NULL` and `DEFAULT` column constraints to sqlite-utils? | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/24/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
450862577 | MDU6SXNzdWU0NTA4NjI1Nzc= | 496 | Additional options to gcloud build command in cloudrun - timeout | costrouc 1740337 | closed | 0 | 1 | 2019-05-31T15:43:55Z | 2019-05-31T23:05:05Z | 2019-05-31T23:05:05Z | NONE | I am trying to deploy a 3.1 GB dataset to cloudrun with datasette. Currrently the docker build times out. Would be nice to have a timeout flag or additional gcloud commands that could be specified. Here is the line https://github.com/simonw/datasette/blob/f825e2012109247fa246e2b938f8174069e574f1/datasette/publish/cloudrun.py#L78 I would be happy to submit a PR to allow for a timeout option. What are your ideas of allowing the user additional build publishing flag options? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/496/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1251700382 | I_kwDOBm6k_c5Km26e | 1750 | Allow `label_column` to specify array of columns | knutwannheden 408765 | open | 0 | 0 | 2022-05-28T18:45:48Z | 2022-05-28T18:45:48Z | NONE | I think it would be great if the Datasette metadata would allow the `label_column` table key to list multiple columns. Something like: ```json "tables": { "person": { "label_column": ["first_name", "last_name"] }, ``` It would even be interesting with a "label expression" similar to a Python f-string. E.g. `{row.last_name}, {row.first_name}`. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1750/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
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. ![image](https://user-images.githubusercontent.com/1385831/110748683-13e72300-820e-11eb-855c-32e03dfef5bf.png) 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. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1258/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
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 | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/657/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
712889459 | MDExOlB1bGxSZXF1ZXN0NDk2Mjk4MTgw | 986 | Allow facet by primary keys, fixes #985 | MrNaif2018 39452697 | closed | 0 | 2 | 2020-10-01T14:18:55Z | 2020-10-01T16:51:45Z | 2020-10-01T16:51:45Z | NONE | simonw/datasette/pulls/986 | Hello! This PR makes it possible to facet by primary keys. Did I get it right that just removing the condition on UI side is enough? From testing it works fine with primary keys, just as with normal keys. If so, should I also remove unused `data-is-pk`? | datasette 107914493 | pull | {"url": "https://api.github.com/repos/simonw/datasette/issues/986/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
814591962 | MDU6SXNzdWU4MTQ1OTE5NjI= | 1240 | Allow facetting on custom queries | Kabouik 7107523 | closed | 0 | 3 | 2021-02-23T15:52:19Z | 2021-02-26T18:19:46Z | 2021-02-26T18:18:18Z | NONE | Facets are a tremendously useful feature, especially for people peeking at the database for the first time and still having little knowledge about the details of the data. It is of great assistance to discover interesting features to explore futher in advanced queries. Yet, it seems it's impossible to use facets when running a custom SQL query, be it from the little gear icons in column names, the facet suggestions at the top (hidden when performing a custom query), or by appending a facet code to the URL. Is there a technical limitation, or is this something that could be unlocked easily? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1240/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
562787785 | MDU6SXNzdWU1NjI3ODc3ODU= | 667 | Allow injecting configuration data from plugins | xrotwang 870184 | closed | 0 | 2 | 2020-02-10T19:50:15Z | 2020-02-12T16:18:22Z | 2020-02-12T09:21:22Z | NONE | I'm trying to customize datasette as explorer for [CLDF](https://cldf.clld.org) datasets. Such datasets can be converted automatically to SQLite, which then can be fed to datasette, (e.g. https://github.com/cldf/cookbook/blob/master/recipes/datasette/README.md). Part of this customization would be support for the "special" data types described in the [CLDF ontology](https://cldf.clld.org/v1.0/terms.rdf). But while rendering of the values can be customized via the `render_cell` hook in a plugin, e.g. custom labels for foreign keys must be specified through the config file. It would be nice to be able to programmatically inject config data from plugins as well. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/667/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1227571375 | I_kwDOCGYnMM5JK0Cv | 431 | Allow making m2m relation of a table to itself | rafguns 738408 | open | 0 | 3 | 2022-05-06T08:30:43Z | 2022-06-23T14:12:51Z | NONE | I am building a database, in which one of the tables has a many-to-many relationship to itself. As far as I can see, this is not (yet) possible using `.m2m()` in sqlite-utils. This may be a bit of a niche use case, so feel free to close this issue if you feel it would introduce too much complexity compared to the benefits. Example: suppose I have a table of people, and I want to store the information that John and Mary have two children, Michael and Suzy. It would be neat if I could do something like this: ```python from sqlite_utils import Database db = Database(memory=True) db["people"].insert({"name": "John"}, pk="name").m2m( "people", [{"name": "Michael"}, {"name": "Suzy"}], m2m_table="parent_child", pk="name" ) db["people"].insert({"name": "Mary"}, pk="name").m2m( "people", [{"name": "Michael"}, {"name": "Suzy"}], m2m_table="parent_child", pk="name" ) ``` But if I do that, the many-to-many table `parent_child` has only one column: ``` CREATE TABLE [parent_child] ( [people_id] TEXT REFERENCES [people]([name]), PRIMARY KEY ([people_id], [people_id]) ) ``` This could be solved by adding one or two keyword_arguments to `.m2m()`, e.g. `.m2m(..., left_name=None, right_name=None)` or `.m2m(..., names=(None, None))`. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/431/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1504352503 | I_kwDOBm6k_c5Zqpj3 | 1968 | Allow to hide some queries in metadata.yml | CharlesNepote 562352 | open | 0 | 0 | 2022-12-20T10:45:41Z | 2022-12-20T10:45:41Z | NONE | By default all queries are displayed. But there are many cases where it would be interesting to hide the queries by default: * the website is targeting non-tech people * the query is veeeeeery long ([eg.](https://mirabelle.openfoodfacts.org/products/energy_calculator)) * reading the query is not important for the users, they only want to see the result Of course, the user still could have the option to see the query. It could be an option in the metadata file: ```yml databases: awesome_db: tables: products: hide_sql: true queries: great_query: hide_sql: true sql: select * from products where code = :barcode ``` The priority could be: * no option in the metadata and nothing in the URL: query displayed * hide_sql in the metadata and nothing in the URL: query displayed as asked in the metadata * hide_sql in the metadata and &_hide_sql= in the URL: query as asked in the URL See also: #1824 | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1968/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
544571092 | MDU6SXNzdWU1NDQ1NzEwOTI= | 15 | Assets table with downloads | garethr 2029 | closed | 0 | 1.0 5225818 | 4 | 2020-01-02T13:05:28Z | 2020-03-28T12:17:01Z | 2020-03-23T19:17:32Z | NONE | The `releases` command extracts the releases table, but data about the individual assets are locked up in the JSON document in the `assets` field. My main interest is in individual and aggregate download counts. I was wondering if creating a new table with a record per asset may be useful? If so I'm happy to send a PR when I get a moment. Do you have opinions about that simply being part of the `releases` command or would you prefer a separate command as well? | github-to-sqlite 207052882 | issue | {"url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/15/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | |||||
1452360613 | I_kwDOBm6k_c5WkUOl | 1895 | Avoid using host name when building absolute URLs? | hubgit 14294 | open | 0 | 0 | 2022-11-16T22:21:27Z | 2022-11-16T22:21:27Z | NONE | When deploying Datasette to Cloud Run and rewriting certain routes from a Firebase app to the Cloud Run service, some of the URLs in the page start with `https://[service].run.app` rather than the (custom) domain of the Firebase app. I guess this is because a) the custom domain of the Firebase app isn't being passed through in the `host` header of the request to the Cloud Run instance and b) the `absolute_url` function in Datasette is using information from the request to build the URL. Would it be possible to not use the host name when building the absolute URLs, i.e. only include the path in the URL? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1895/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
783778672 | MDU6SXNzdWU3ODM3Nzg2NzI= | 220 | Better error message for *_fts methods against views | mhalle 649467 | closed | 0 | 3 | 2021-01-11T23:24:00Z | 2021-02-22T20:44:51Z | 2021-02-14T22:34:26Z | NONE | enable_fts and its related methods only work on tables, not views. Could those methods and possibly others move up to the Queryable superclass? | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/220/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
711649325 | MDU6SXNzdWU3MTE2NDkzMjU= | 182 | Better handling of encodings other than utf-8 for "sqlite-utils insert" | kaihendry 765871 | closed | 0 | 5 | 2020-09-30T05:43:48Z | 2020-10-16T17:20:41Z | 2020-10-16T17:18:52Z | NONE | Makefile: ``` data.db: curl -O http://maps.natalian.org/data.txt go run csv-write.go > data.csv sqlite-utils insert data.db travels data.csv --csv clean: rm data* ``` [csv-write.go](https://gist.github.com/kaihendry/dff2442de20d73f900026d13bf7a11d9) Error message is: ``` sqlite-utils insert data.db travels data.csv --csv Traceback (most recent call last): File "/home/hendry/.local/bin/sqlite-utils", line 8, in <module> sys.exit(cli()) File "/home/hendry/.local/lib/python3.8/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/home/hendry/.local/lib/python3.8/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/home/hendry/.local/lib/python3.8/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/hendry/.local/lib/python3.8/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/hendry/.local/lib/python3.8/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/home/hendry/.local/lib/python3.8/site-packages/sqlite_utils/cli.py", line 614, in insert insert_upsert_implementation( File "/home/hendry/.local/lib/python3.8/site-packages/sqlite_utils/cli.py", line 553, in insert_upsert_implementation headers = next(reader) File "/usr/lib/python3.8/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe3 in position 1234: invalid continuation byte make: *** [Makefile:4: data.db] Error 1 [hendry@t14s datasette-map]$ sqlite-utils --version sqlite-utils, version 2.19 ``` Little bit surprised if Go is spewing out bad Unicode, but I'm not sure how to grok `position 1234`.. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/182/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1501900064 | I_kwDOBm6k_c5ZhS0g | 1966 | Broken link to live demo in Getting started docs | lbellomo 7551922 | closed | 0 | 1 | 2022-12-18T13:17:00Z | 2022-12-31T19:15:19Z | 2022-12-31T19:15:10Z | NONE | The link in [Play with a live demo in Getting started](https://github.com/simonw/datasette/blob/main/docs/getting_started.rst#play-with-a-live-demo) to [https://fivethirtyeight.datasettes.com/fivethirtyeight](https://fivethirtyeight.datasettes.com/fivethirtyeight) is broken and the datasette is no longer working (maybe due to the end of the free tier). | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1966/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
314665147 | MDU6SXNzdWUzMTQ2NjUxNDc= | 216 | Bug: Sort by column with NULL in next_page URL | carlmjohnson 222245 | closed | 0 | 15 | 2018-04-16T14:03:18Z | 2018-04-17T01:45:24Z | 2018-04-17T01:45:24Z | NONE | Copy-pasting from https://github.com/simonw/datasette/issues/189#issuecomment-381429213, since that issue is closed: I think I found a bug. I tried to sort by middle initial in my salaries set, and many middle initials are null. The `next_url` gets set by Datasette to: http://localhost:8001/salaries-d3a5631/2017+Maryland+state+salaries?_next=None%2C391&_sort=middle_initial But then None is interpreted literally and it tries to find a name with the middle initial "None" and ends up skipping ahead to O on page 2. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/216/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
770712149 | MDExOlB1bGxSZXF1ZXN0NTQyNDA2OTEw | 10 | BugFix for encoding and not update info. | riverzhou 1277270 | closed | 0 | 1 | 2020-12-18T08:58:54Z | 2021-02-11T22:37:56Z | 2021-02-11T22:37:56Z | NONE | dogsheep/evernote-to-sqlite/pulls/10 | Bugfix 1: Traceback (most recent call last): File "d:\anaconda3\lib\runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "d:\anaconda3\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "D:\Anaconda3\Scripts\evernote-to-sqlite.exe\__main__.py", line 7, in <module> File "d:\anaconda3\lib\site-packages\click\core.py", line 829, in __call__ File "d:\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "d:\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) return ctx.invoke(self.callback, **ctx.params) File "d:\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(*args, **kwargs) File "d:\anaconda3\lib\site-packages\evernote_to_sqlite\cli.py", line 30, in enex for tag, note in find_all_tags(fp, ["note"], progress_callback=bar.update): File "d:\anaconda3\lib\site-packages\evernote_to_sqlite\utils.py", line 11, in find_all_tags chunk = fp.read(1024 * 1024) UnicodeDecodeError: 'gbk' codec can't decode byte 0xa4 in position 383: illegal multibyte sequence Bugfix 2: Traceback (most recent call last): File "D:\Anaconda3\Scripts\evernote-to-sqlite-script.py", line 33, in <module> sys.exit(load_entry_point('evernote-to-sqlite==0.3', 'console_scripts', 'evernote-to-sqlite')()) File "D:\Anaconda3\lib\site-packages\click\core.py", line 829, in __call__ return self.main(*args, **kwargs) File "D:\Anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "D:\Anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "D:\Anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "D:\Anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(*args, **kw… | evernote-to-sqlite 303218369 | pull | {"url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/10/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 0 | |||||
395236066 | MDU6SXNzdWUzOTUyMzYwNjY= | 393 | CSV export in "Advanced export" pane doesn't respect query | ltrgoddard 1727065 | closed | 0 | 6 | 2019-01-02T12:39:41Z | 2021-06-17T18:14:24Z | 2019-01-03T02:44:10Z | NONE | It looks like there's an inconsistency when exporting to CSV via the the web interface. Say I'm looking at [songs released in 1989](https://fivethirtyeight.datasettes.com/fivethirtyeight-c300360/classic-rock%2Fclassic-rock-song-list?Release+Year__exact=1989) in the `classic-rock/classic-rock-song-list` table from the Five Thirty Eight data. The JSON and CSV export links at the top of the page both give me filtered data using `Release+Year__exact=1989` in the URL. In the `Advanced export` tab, though, the CSV option gives me the whole data set, while the JSON options preserve the query. It may be that this is intended behaviour related to the streaming CSV stuff [discussed here](https://github.com/simonw/datasette/issues/266), but if that's the case then I think it should be a little clearer. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/393/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1250629388 | I_kwDOCGYnMM5KixcM | 440 | CSV files with too many values in a row cause errors | frafra 4068 | closed | 0 | 20 | 2022-05-27T10:54:44Z | 2022-06-14T22:23:01Z | 2022-06-14T20:12:46Z | NONE | *Original title: csv.DictReader can have None as key* In some cases, `csv.DictReader` can have `None` as key for unnamed columns, and a list of values as value. `sqlite_utils.utils.rows_from_file` cannot handle that: ```python url="https://artsdatabanken.no/Fab2018/api/export/csv" db = sqlite_utils.Database(":memory") with urlopen(url) as fab: reader, _ = sqlite_utils.utils.rows_from_file(fab, encoding="utf-16le") db["fab2018"].insert_all(reader, pk="Id") ``` Result: ``` Traceback (most recent call last): File "<stdin>", line 3, in <module> File "/home/user/.local/pipx/venvs/sqlite-utils/lib/python3.8/site-packages/sqlite_utils/db.py", line 2924, in insert_all chunk = list(chunk) File "/home/user/.local/pipx/venvs/sqlite-utils/lib/python3.8/site-packages/sqlite_utils/db.py", line 3454, in fix_square_braces if any("[" in key or "]" in key for key in record.keys()): File "/home/user/.local/pipx/venvs/sqlite-utils/lib/python3.8/site-packages/sqlite_utils/db.py", line 3454, in <genexpr> if any("[" in key or "]" in key for key in record.keys()): TypeError: argument of type 'NoneType' is not iterable ``` Code: https://github.com/simonw/sqlite-utils/blob/59be60c471fd7a2c4be7f75e8911163e618ff5ca/sqlite_utils/db.py#L3454 `sqlite-utils insert` from command line is not affected by this issue. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/440/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1434911255 | I_kwDOCGYnMM5VhwIX | 510 | Cannot enable FTS5 despite it being available | ar-jan 1176293 | closed | 0 | 3 | 2022-11-03T16:03:49Z | 2022-11-18T18:37:52Z | 2022-11-17T10:36:28Z | NONE | When I do `sqlite-utils enable-fts my.db table_name column_name` (with or without `--fts5`), I get an FTS4 virtual table instead of the expected FTS5. FTS5 is however available and Python/SQLite versions do not seem to be the issue. I can manually create the FTS5 virtual table, and then Datasette also works with it from this same Python environment. `>>> sqlite3.version` `2.6.0` `>>> sqlite3.sqlite_version` `3.39.4` `PRAGMA compile_options;` includes `ENABLE_FTS5`. `sqlite-utils, version 3.30`. Any ideas what's happening and how to fix? | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/510/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
919314806 | MDU6SXNzdWU5MTkzMTQ4MDY= | 270 | Cannot set type JSON | frafra 4068 | closed | 0 | 4 | 2021-06-11T23:53:22Z | 2021-06-16T17:34:49Z | 2021-06-16T15:47:06Z | NONE | It would be great if the column type could be set to JSON. That would not be different from handling a regular string. It would be something like `repr(value)` and it would work with both JSON and CSV inputs, no matter if `value` is a real list or just a string representing a list. | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/270/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
826064552 | MDU6SXNzdWU4MjYwNjQ1NTI= | 1253 | Capture "Ctrl + Enter" or "⌘ + Enter" to send SQL query? | rayvoelker 9308268 | open | 0 | 1 | 2021-03-09T15:00:50Z | 2021-10-30T16:00:42Z | NONE | It appears as though "Shift + Enter" triggers the form submit action to submit SQL, but could that action be bound to the "Ctrl + Enter" or "⌘ + Enter" action? I feel like that pattern already exists in a number of similar tools and could improve usability of the editor. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1253/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
569317377 | MDU6SXNzdWU1NjkzMTczNzc= | 681 | Cashe-header missing in http-response | clausjuhl 2181410 | closed | 0 | 4 | 2020-02-22T10:50:45Z | 2020-02-24T20:53:57Z | 2020-02-24T20:53:56Z | NONE | Hi Simon. I need some help with both understanding and adding http-headers. If I call datasette on localhost with --config default_cache_ttl:120 and --cors, I only get the following response-headers: access-control-allow-origin: * content-type: text/html; charset=utf-8 date: Sat, 22 Feb 2020 10:32:15 GMT referrer-policy: no-referrer server: uvicorn transfer-encoding: chunked Cors works, but no caching-header is set? Same thing happens if I use the command in a Dockerfile and run datasette with docker. Second, how can one add headers to uvicorn? I've tried to add uvicorn commands to the Dockerfile, before the final datasette command, but it doesn't work. Is there any way to add headers to the uvicorn.run() command i datasette? I particular, I would like to add some of the missing security-headers: <img width="1010" alt="Screenshot 2020-02-22 at 11 48 03" src="https://user-images.githubusercontent.com/2181410/75091037-5ab59c80-5569-11ea-8dbb-22357f1aa4c8.png"> Thank you for a great product! | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/681/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
781262510 | MDU6SXNzdWU3ODEyNjI1MTA= | 1181 | Certain database names results in 404: "Database not found: None" | jieter 1470389 | closed | 0 | Datasette 0.54 6346396 | 4 | 2021-01-07T12:01:16Z | 2021-12-21T18:25:15Z | 2021-01-25T05:13:19Z | NONE | I have a file named `test-database (1).sqlite`. When requesting the home route `/`, I see datasette is able to read it correctly: <img width="409" alt="Screenshot 2021-01-07 at 12 54 46" src="https://user-images.githubusercontent.com/1470389/103889964-9442b800-50e7-11eb-9548-fbf10ed3b1ea.png"> However, if I click any of the links, datasette replies with: `Error 404 Database not found: None` It seems the hash is crucial, as renaming the file to `database (1).sqlite` makes the error go away. This lines checks for a single dash: https://github.com/simonw/datasette/blob/97fb10c17dd007a275ab743742e93e932335ad67/datasette/views/base.py#L184 ``` $ datasette test-database\ \(1\).sqlite INFO: Started server process [68314] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://127.0.0.1:8001 (Press CTRL+C to quit) INFO: 127.0.0.1:54043 - "GET /favicon.ico HTTP/1.1" 200 OK INFO: 127.0.0.1:54043 - "GET / HTTP/1.1" 200 OK ... INFO: 127.0.0.1:54044 - "GET /favicon.ico HTTP/1.1" 200 OK INFO: 127.0.0.1:54044 - "GET /test-database (1) HTTP/1.1" 404 Not Found ``` Version: ``` $ datasette --version datasette, version 0.53 ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1181/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | |||||
508100844 | MDU6SXNzdWU1MDgxMDA4NDQ= | 598 | Character encoding bug with CSV export | JoeGermuska 46313 | closed | 0 | 1 | 2019-10-16T21:09:30Z | 2021-06-17T18:13:20Z | 2019-10-18T22:52:21Z | NONE | I was just poking around, and at [this URL](https://sql-murder-mystery.datasette.io/sql-murder-mystery/crime_scene_report.csv?_stream=on&type=arson&_size=max), I encountered this error: ``` 'latin-1' codec can't encode character '\u2019' in position 27: ordinal not in range(256) ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/598/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1257724585 | I_kwDOCGYnMM5K91qp | 441 | Combining `rows_where()` and `search()` to limit which rows are searched | betatim 1448859 | closed | 0 | 4 | 2022-06-02T06:01:55Z | 2022-06-14T21:57:57Z | 2022-06-14T21:54:38Z | NONE | What is the right way to limit a full text search query to some rows of a table? For example, I have a table that contains the following columns: `title`, `content`, `owner` (each row represents a document). The `owner` column is a username. It feels right to store all documents in one table, instead of having one table per owner. In particular because I'd like to full text search all documents, only documents owned by one user and documents owned by a set of users. I tried to combine `.rows_where("owner = ?", "1234")` and `.search()` from the `Table` class but I don't think that is meant to work. I discovered `.search_sql()` as a way to generate the FTS SQL statement. By hand I can edit it to add a `AND [original].[owner] = :owner` to the `where` clause. This seems to do what I want. My two questions: 1. is adding a `AND ...` to the `where` clause actually the right thing to do or should I be doing something else (my SQL skills are low)? 2. is there a built-in to sqlite-utils way to achieve this? Right now I am thinking I will make my own version of `search_sql()` that generates a query that contains an additional `owner = :owner` for my particular use-case. Bonus question: is this generally useful/something to add to sqlite-utils or too niche? | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/441/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1353441389 | I_kwDOCGYnMM5Qq-Bt | 477 | Conda Forge | thewchan 49702524 | closed | 0 | 2 | 2022-08-28T19:03:08Z | 2022-09-07T03:46:55Z | 2022-09-07T03:46:55Z | NONE | Hello! I have successfully put this package on to Conda Forge, and I have extending the invitation for the owner/maintainers of this package to be maintainers on Conda Forge as well. Let me know if you are interested! Thanks. https://github.com/conda-forge/sqlite-utils-feedstock | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/477/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1157182254 | I_kwDOBm6k_c5E-TMu | 1646 | Configuration directory mode does not pick up other file extensions than .db | dnsos 15640196 | closed | 0 | 3 | 2022-03-02T13:15:23Z | 2022-10-07T23:06:17Z | 2022-10-07T23:03:35Z | NONE | Hello, I've been trying to run Datasette with the [configuration directory mode](https://docs.datasette.io/en/stable/settings.html#configuration-directory-mode) with a structure such as this one: ```plain some-directory/ example.sqlite3 another-example.db one-more.custom [...] ``` (In my scenario I can't just change the filename extension without other problems arising) Now databases with the `.sqlite3` or the custom filename extension are ignored by Datasette in this case. I'm aware that the docs state that a `.db` extension is required, but I was wondering if there is a reason for restricting this or any workaround available? When I run `datasette example.sqlite3` or `datasette one-more.custom` the databases are served by Datasette without a problem. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1646/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
473307794 | MDU6SXNzdWU0NzMzMDc3OTQ= | 565 | Conflict between datasette and uvicorn click versions | jonheslop 440503 | closed | 0 | 1 | 2019-07-26T11:13:40Z | 2020-10-02T00:09:55Z | 2020-10-02T00:09:55Z | NONE | Hello Datasette is awesome thanks so much! I not very familiar with Python but I think there is a problem with datasette docker builds I keep getting this error ``` ERROR: uvicorn 0.8.4 has requirement click==7.*, but you'll have click 6.0 which is incompatible. ERROR: datasette 0.29.2 has requirement click~=7.0, but you'll have click 6.0 which is incompatible. ``` The full log from the docker build is here - https://gist.github.com/jonheslop/e01cd322e761cfaf34f0cb83f86411b0 Just in case it’s helpful this is my setup - https://github.com/dotwatcher/dotwatcher-data | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/565/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1387712501 | I_kwDOBm6k_c5Sts_1 | 1824 | Convert &_hide_sql=1 to #_hide_sql | CharlesNepote 562352 | open | 0 | 1 | 2022-09-27T12:53:31Z | 2022-10-05T12:56:27Z | NONE | Hiding the SQL textarea with `&_hide_sql=1` enforces a page reload, which can take several seconds and use server resource (which is annoying for big database or complex queries). It could probably be done with a few lines of Javascript (I'm going to see if I can do that). | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1824/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1171599874 | I_kwDOCGYnMM5F1TIC | 415 | Convert with `--multi` and `--dry-run` flag does not work | dotcs 3976183 | closed | 0 | 2 | 2022-03-16T21:59:46Z | 2022-03-21T04:18:24Z | 2022-03-21T04:18:24Z | NONE | It's not possible to combine `--multi` and `--dry-run` flag in the `convert` command. Let's first create a simple database from JSON string ```console $ echo '[{"foo": "abc"}]' | sqlite-utils insert demo.db demo - $ sqlite-utils query demo.db "SELECT * FROM demo" [{"foo": "abc"}] ``` and then try to convert the "foo" column with a static value "bar" (see docs [Converting a column into multiple columns](https://sqlite-utils.datasette.io/en/stable/cli.html#converting-a-column-into-multiple-columns)) ```console $ sqlite-utils convert demo.db demo foo '{"foo": "bar"}' --multi --dry-run Traceback (most recent call last): File "/home/dotcs/anaconda3/envs/tools/bin/sqlite-utils", line 8, in <module> sys.exit(cli()) File "/home/dotcs/anaconda3/envs/tools/lib/python3.9/site-packages/click/core.py", line 1128, in __call__ return self.main(*args, **kwargs) File "/home/dotcs/anaconda3/envs/tools/lib/python3.9/site-packages/click/core.py", line 1053, in main rv = self.invoke(ctx) File "/home/dotcs/anaconda3/envs/tools/lib/python3.9/site-packages/click/core.py", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/dotcs/anaconda3/envs/tools/lib/python3.9/site-packages/click/core.py", line 1395, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/dotcs/anaconda3/envs/tools/lib/python3.9/site-packages/click/core.py", line 754, in invoke return __callback(*args, **kwargs) File "/home/dotcs/anaconda3/envs/tools/lib/python3.9/site-packages/sqlite_utils/cli.py", line 2686, in convert for row in db.conn.execute(sql, where_args).fetchall(): sqlite3.OperationalError: user-defined function raised exception ``` But without the `--dry-run` flag it does work as expected: ```console $ sqlite-utils convert demo.db demo foo '{"foo": "bar"}' --multi $ sqlite-utils query demo.db "SELECT * FROM demo" [{"foo": "bar"}] ``` ```console $ sqlite-utils --version sqlite-utils, versio… | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/415/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
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 `BLOB`s. From a quick look and a quick play, I didn't spot a way to do this in `sqlite_utils`? For example: ```python # Via https://stackoverflow.com/a/18622264/454773 import 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 inserting sqlite3.register_adapter(np.ndarray, adapt_array) # Converts TEXT to np.array when selecting sqlite3.register_converter("array", convert_array) ``` ```python from sqlite_utils import Database db = Database('test.db') # Reset the database connection to used the parsed datatype # sqlite_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 way # but using the new custom data type vector_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 `vector` field is a custom registered `array` type (which is to say, a `numpy` array): ```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 '… | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/406/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
699947574 | MDU6SXNzdWU2OTk5NDc1NzQ= | 963 | Currently selected array facets are not correctly persisted through hidden form fields | mhalle 649467 | closed | 0 | Datasette 0.49 5818042 | 1 | 2020-09-12T01:49:17Z | 2020-09-12T21:54:29Z | 2020-09-12T21:54:09Z | NONE | Faceted search uses JSON array elements as facets rather than the arrays. However, if a search is "Apply"ed (using the Apply button), the array itself rather than its elements used. To reproduce: https://latest.datasette.io/fixtures/facetable?_sort=pk&_facet=created&_facet=tags&_facet_array=tags Press "Apply", which might be done when removing a filter. Notice that the "tags" facet values are now arrays, not array elements. It appears the "&_facet_array=tags" element of the query string is dropped. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/963/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | |||||
1550536442 | I_kwDOCGYnMM5ca076 | 521 | Custom JSON encoder | janrito 31504 | open | 0 | 0 | 2023-01-20T09:19:40Z | 2023-01-20T09:19:40Z | NONE | It would be nice if we could specify a custom encoder (and decoder) for types that will need extra deserialisation – e.g., sets, enums or sparse matrices – or even project-specific types | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/521/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1221849746 | I_kwDOBm6k_c5I0_KS | 1732 | Custom page variables aren't decoded | tannewt 52649 | open | 0 | 2 | 2022-04-30T14:55:46Z | 2022-05-03T01:50:45Z | NONE | I have a page `templates/filer/{filer_id}.html`. It uses `filer_id` in a `sql()` call to fetch data. With 0.61.1 this no longer works because the spaces in IDs isn't preserved. Instead, the escaped version is passed into the template and the id isn't present in my db. Datasette should unescape the url component before passing them into the template. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1732/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1075893249 | I_kwDOBm6k_c5AINQB | 1545 | Custom pages don't work on windows | ryascott 559711 | closed | 0 | 3 | 2021-12-09T18:53:05Z | 2022-02-03T02:08:31Z | 2022-02-03T01:58:35Z | NONE | It seems that custom pages don't work when put in templates/pages To reproduce on datasette version 0.59.4 using PowerShell on WIndows 10 with Python 3.10.0 mkdir -p templates/pages echo "hello world" >> templates/pages/about.html Start datasette datasette --template-dir templates/ Navigate to [http://127.0.0.1:8001/about](url) and receive: Error 404: Database not found: about | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1545/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
813899472 | MDU6SXNzdWU4MTM4OTk0NzI= | 1238 | Custom pages don't work with base_url setting | tsibley 79913 | closed | 0 | 9 | 2021-02-22T21:58:58Z | 2021-06-05T18:59:55Z | 2021-06-05T18:59:55Z | NONE | It seems that custom pages aren't routing properly when the `base_url` setting is used. To reproduce, with Datasette 0.55. Create a `templates/pages/custom.html` with some text. ``` mkdir -p templates/pages/ echo "Hello, world!" > templates/pages/custom.html ``` Start Datasette. ``` datasette --template-dir templates/ ``` Visit http://localhost:8001/custom and see "Hello, world!". Start Datasette with a `base_url`. ``` datasette --template-dir templates/ --setting base_url /prefix/ ``` Visit http://localhost:8001/prefix/custom and see a "Database not found: custom" 404. Note that like all routes, http://localhost:8001/custom still works when run with `base_url`. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1238/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
791381623 | MDU6SXNzdWU3OTEzODE2MjM= | 1197 | DB size limit for publishing with Heroku | mtdukes 1186275 | closed | 0 | 1 | 2021-01-21T18:08:43Z | 2021-01-24T20:53:44Z | 2021-01-24T20:53:44Z | NONE | Hello, I tried searching for this, but can't seem to get a great answer: Does anybody know the size limit for databases deploying to Heroku? The files I'm working with are pretty large, but I might be able to pare them down if I have a limit in mind. I'm getting the following error when running `datasette heroku publish`: `RangeError [ERR_INVALID_OPT_VALUE]: The value "14504095744" is invalid for option "size"` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1197/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1515883470 | I_kwDOC8tyDs5aWovO | 24 | DOC: xml.etree.ElementTree.ParseError due to healthkit version 12 | mmngreco 6231413 | open | 0 | 2 | 2023-01-01T23:00:38Z | 2023-03-30T10:17:31Z | NONE | Hi @simonw I hope you find this issue ok, the idea is provide some documentation to other users like me about how to solve this problem and save some time. Following the instructions from the `README.md` I've faced this error: ```bash (venv) mgreco@pop-os apple-health master* (23:44|0s) $ healthkit-to-sqlite apple_health_export/export.xml healthkit.db --xml Importing from HealthKit [------------------------------------] 0% Traceback (most recent call last): File "/home/mgreco/github/mmngreco/apple-health/venv/bin/healthkit-to-sqlite", line 33, in <module> sys.exit(load_entry_point('healthkit-to-sqlite', 'console_scripts', 'healthkit-to-sqlite')()) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 1130, in __call__ return self.main(*args, **kwargs) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 1055, in main rv = self.invoke(ctx) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 760, in invoke return __callback(*args, **kwargs) File "/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/cli.py", line 57, in cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) File "/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/utils.py", line 25, in convert_xml_to_sqlite for tag, el in find_all_tags( File "/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/utils.py", line 12, in find_all_tags for event, el in parser.read_events(): File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/xml/etree/ElementTree.py", line 1324, in read_events raise event File "/home/mgreco/gith… | healthkit-to-sqlite 197882382 | issue | {"url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/24/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1077560091 | I_kwDODEm0Qs5AOkMb | 61 | Data Pull fails for "Essential" level access to the Twitter API (for Documentation) | jmnickerson05 57161638 | open | 0 | 1 | 2021-12-11T14:59:41Z | 2022-10-31T14:47:58Z | NONE | Per Twitter documentation: https://developer.twitter.com/en/docs/twitter-api/getting-started/about-twitter-api#v2-access-leve This isn't any fault of twitter-to-sqlite of course, but it should probably be documented as a side-note. ![image](https://user-images.githubusercontent.com/57161638/145681272-8c85b3b9-be95-44ff-9760-1bafa4917ce2.png) And this is how I'm surfacing the message from utils.py: ![image](https://user-images.githubusercontent.com/57161638/145681005-2776c0ad-9822-4461-b43a-450ab2e828eb.png) | twitter-to-sqlite 206156866 | issue | {"url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/61/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
983221851 | MDU6SXNzdWU5ODMyMjE4NTE= | 34 | Data folder as index command parameter | humrochagf 1223625 | open | 0 | 0 | 2021-08-30T21:29:33Z | 2021-08-30T21:29:33Z | NONE | Hi, First of all, thank you for this wonderful project :smile: I started to use dogsheep to make my personal data searchable, and by using the project I noticed an issue with the index command. It always expects you are running it from the root folder from where the data is located, so I got some errors while trying to make it work on my setup. I separate all databases inside a `data` folder (I published my setup to be easier to follow: https://github.com/humrochagf/my-dogsheep) Before, I configured `dogsheep.yml` to add the data folder to its path like this: ```yml data/twitter.db: tweets: sql: |- ... ``` And running the index command like this: ``` dogsheep-beta index data/dogsheep.db dogsheep.yml ``` It worked to the normal search feature with no problem this way, but when I started adding `display_sql` rules the app started to crash, because at datasette `get_database` it was looking for `data/twitter` and it only had a db called `twitter` there. So my workaround to that was to cd into the data folder and run the indexer. You can check the way I'm doing it at this line of the makefile: https://github.com/humrochagf/my-dogsheep/blob/main/makefile#L3 It works but it would be nice to have an option to pass the path where the data is located to the index function. | dogsheep-beta 197431109 | issue | {"url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/34/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
1571207083 | I_kwDOBm6k_c5dprer | 2016 | Database metadata fields like description are not available in the index page template's context | palewire 9993 | open | 0 | Datasette 1.0 3268330 | 1 | 2023-02-05T02:25:53Z | 2023-02-05T22:56:43Z | NONE | When looping through `databases` in the index.html template, I'd like to print the description of each database alongside its name. But it appears that isn't passed in from the view, unless I'm missing it. It would be great to have that. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/2016/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | |||||||
518506242 | MDU6SXNzdWU1MTg1MDYyNDI= | 616 | Datasette FTS detection bug | null92 49656826 | closed | 0 | 2 | 2019-11-06T14:25:47Z | 2019-11-08T15:31:33Z | 2019-11-08T02:06:56Z | NONE | I'm having a trouble with datasette. I deployed EXACTLY the same project on two different apps on Heroku. Both have databases (not all) with FTS activated but only one detects and works fine. You can take a look here: With search: http://teste-templates.herokuapp.com/amazonia_protege/car Without search: http://bases.vortex.media/amazonia_protege/car ![teste](https://user-images.githubusercontent.com/49656826/68306310-11a80e00-0088-11ea-8d1c-db3bd3375518.jpg) | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/616/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1553615704 | I_kwDOBm6k_c5cmktY | 2001 | Datasette is not compatible with SQLite's strict quoting compilation option | gwk 406380 | open | 0 | 4 | 2023-01-23T19:10:07Z | 2023-01-25T04:59:58Z | NONE | I have linked Python3.11 on macOS against recent SQLite that was compiled using `-DSQLITE_DQS=0`. This option disables interpretation of double-quoted identifiers as string literals, described in the SQLite docs as a "MySQL 3.x misfeature". See https://www.sqlite.org/quirks.html#dblquote for background. Datasette uses the double-quote syntax in a number of key places, and is thus completely broken in this environment. My experience was to `pip install datasette`, then run `datasette serve -I my-data.db`. When I visit `http://127.0.0.1:8001` I get a 500 response. The error: `sqlite3.OperationalError: no such column: geometry_columns` The responsible SQL: `'select 1 from sqlite_master where tbl_name = "geometry_columns"'` I then installed datasette from GitHub master in development mode and changed the offending SQL to use correct quotes: `"select 1 from sqlite_master where tbl_name = 'geometry_columns'"`. With this change, I get a little further, but have the same problem with the first table name in my database (in my case, "Meta"): ``` OperationalError: no such column: Meta Traceback (most recent call last): File "/Users/gwk/external/datasette/datasette/app.py", line 1522, in route_path response = await view(request, send) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/gwk/external/datasette/datasette/views/base.py", line 151, in view return await self.dispatch_request(request) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/gwk/external/datasette/datasette/views/base.py", line 105, in dispatch_request response = await handler(request) ^^^^^^^^^^^^^^^^^^^^^^ File "/Users/gwk/external/datasette/datasette/views/index.py", line 70, in get "fts_table": await db.fts_table(table), ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/gwk/external/datasette/datasette/database.py", line 363, in fts_table return await self.execute_fn(lambda conn: detect_fts(conn, table)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^… | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/2001/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
925406964 | MDU6SXNzdWU5MjU0MDY5NjQ= | 1382 | Datasette with Glitch - is it possible to use CSV with ISO-8859-1 encoding? | reichaves 23701514 | closed | 0 | 1 | 2021-06-19T14:37:20Z | 2021-06-20T00:21:02Z | 2021-06-20T00:20:06Z | NONE | Hi Please, I used Remix on Glitch to create a project on Glitch and uploaded a CSV But it's a CSV with ISO-8859-1 encoding (https://en.wikipedia.org/wiki/ISO/IEC_8859-1) Is it possible for me to change the encoding to correctly visualize the data? Example: https://emphasized-carpal-pillow.glitch.me/data/Emendas Best | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1382/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
1433576351 | I_kwDOBm6k_c5VcqOf | 1880 | Datasette with many and large databases > Memory use | amitkoth 525934 | open | 0 | 4 | 2022-11-02T18:10:27Z | 2022-11-16T17:50:29Z | NONE | > Datasette maintains an in-memory SQLite database with details of the the databases, tables and columns for all of the attached databases. The above is from the docs ^. There's two problems here - the number of datasette "instances" in a single server/VM and the size of the database itself. We want the **opposite** of in-memory, including what happens on SQLlite - documented in https://www.sqlite.org/inmemorydb.html From the context in https://github.com/simonw/datasette/issues/1150 - does it mean datasette is memory-bound to the size of the dataset - which might be a deal-breaker for many large-scale use cases? In an extreme case - let's say a single server had 100 SQLlite databases, which would enable 100 "instances" of datasette to run, one per client (e.g. in a SaaS multi-tenant environment). How could we achieve all these goals: 1. Allow any _one_ of these 100 databases to grow to say 2Tb in size 2. Have one datasette instance, which connects to 1 of the 100 instances, based on incoming credentials/tenant ID 3. Minimize memory use entirely - both by datasette and SQLlite, such that almost all operations are executed in real-time on-disk with little to no memory consumption per-tenant, or per-database. Any ideas appreciated - we're looking to use this in a SaaS type of setting - many instances, single server. @simonw great work on datasette, in general! Possibly related to https://github.com/simonw/datasette/issues/1480 but we don't want use any kind of serverless infra - this is a long-running VM/server. | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1880/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
836063389 | MDU6SXNzdWU4MzYwNjMzODk= | 17 | Datetime columns are not properly formatted to be recognizes as datetime | n8henrie 1234956 | open | 0 | 0 | 2021-03-19T14:33:04Z | 2021-03-19T14:33:04Z | NONE | Currently, the datetimes are formatted in a way that is not recognized by datasette-vega for plotting with a `Date/time` type for the axis. For example, if you have datasette running locally with `datasette-vega` installed and have a database that includes resting heart rate: ``` http://localhost:8001/healthkit/rRestingHeartRate#g.mark=line&g.x_column=startDate&g.x_type=temporal&g.y_column=value&g.y_type=quantitative ``` The plot is blank unless you choose `Label` as the type for the date data. The `startDate` (and `creationDate` and `endDate`) columns appear like: `2019-11-14 18:22:18 -0700` If instead the format for this column is changed slightly: `2019-11-14T18:22:18-07:00` they are recognized as proper dates and the charting works as expected. I have a PR that addresses this issue, will submit shortly. | healthkit-to-sqlite 197882382 | issue | {"url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/17/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} |
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