issues
505 rows where repo = 107914493, state = "open" and type = "issue" sorted by author_association
This data as json, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
924748955 | MDU6SXNzdWU5MjQ3NDg5NTU= | 1380 | Serve all db files in a folder | stratosgear 193463 | open | 0 | 5 | 2021-06-18T10:03:32Z | 2021-11-13T08:09:11Z | NONE | I tried to get the In more detail:
Is there an option/setting that I overlooked, or is this something missing? BTW, the Thanks! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1380/reactions", "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
982803408 | MDU6SXNzdWU5ODI4MDM0MDg= | 1454 | Feature Request: Publish to IPFS | blitmap 1560788 | open | 0 | 0 | 2021-08-30T13:36:18Z | 2021-08-30T13:36:18Z | NONE | Hello, I am a huge fan of this being used for exploring data. I think it has a lot of flexibility not found in other tools. I'm not sure if what I'm asking for is possible: Can this be extended to publish to IPFS? IPFS is an attractive hosting option for decentralized journalism. Food for thought ~ |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1454/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1010112818 | I_kwDOBm6k_c48NRky | 1479 | Win32 "used by another process" error with datasette publish | kirajano 76450761 | open | 0 | 7 | 2021-09-28T19:12:00Z | 2023-09-07T02:14:16Z | NONE | I unfortunately was not successful to deploy to fly.io. Please see the details above of the three scenarios that I took. I am also new to datasette. Failed to deploy. Attaching logs:
1. Tried with an app created via Error error connecting to docker: An unknown error occured. Traceback (most recent call last): File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main__.py", line 7, in <module> File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly__init__.py", line 156, in fly "--remote-only", File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils__init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpgcm8cz66\frosty-fog-8565' ```
Error not possible to validate configuration: server returned Post "https://api.fly.io/graphql": unexpected EOF Traceback (most recent call last):
File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main These are also the contents of the generated .toml file in 2 scenario: ``` fly.toml file generated for dark-feather-168 on 2021-09-28T20:35:44+02:00app = "dark-feather-168" kill_signal = "SIGINT" kill_timeout = 5 processes = [] [env] [experimental] allowed_public_ports = [] auto_rollback = true [[services]] http_checks = [] internal_port = 8080 processes = ["app"] protocol = "tcp" script_checks = [] [services.concurrency] hard_limit = 25 soft_limit = 20 type = "connections" [[services.ports]] handlers = ["http"] port = 80 [[services.ports]] handlers = ["tls", "http"] port = 443 [[services.tcp_checks]] grace_period = "1s" interval = "15s" restart_limit = 6 timeout = "2s" ```
```[+] Building 147.3s (11/11) FINISHED => [internal] load build definition from Dockerfile 0.2s => => transferring dockerfile: 396B 0.0s => [internal] load .dockerignore 0.1s => => transferring context: 2B 0.0s => [internal] load metadata for docker.io/library/python:3.8 4.7s => [auth] library/python:pull token for registry-1.docker.io 0.0s => [internal] load build context 0.1s => => transferring context: 82.37kB 0.0s => [1/5] FROM docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3 108.3s => => resolve docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5 0.0s => => sha256:56182bcdf4d4283aa1f46944b4ef7ac881e28b4d5526720a4e9ba03a4730846a 2.22kB / 2.22kB 0.0s => => sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 54.93MB / 54.93MB 21.6s => => sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 10.87MB / 10.87MB 15.5s => => sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5c5b6 1.86kB / 1.86kB 0.0s => => sha256:ff08f08727e50193dcf499afc30594c47e70cc96f6fcfd1a01240524624264d0 8.65kB / 8.65kB 0.0s => => sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 5.15MB / 5.15MB 6.4s => => sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 54.57MB / 54.57MB 37.7s => => sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 196.45MB / 196.45MB 82.3s => => sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 6.29MB / 6.29MB 26.6s => => extracting sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 5.4s => => sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 16.81MB / 16.81MB 40.5s => => extracting sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 0.6s => => extracting sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 0.6s => => sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 232B / 232B 40.1s => => extracting sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 5.8s => => sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 2.35MB / 2.35MB 41.8s => => extracting sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 18.8s => => extracting sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 1.2s => => extracting sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 2.9s => => extracting sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 0.0s => => extracting sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 0.8s => [2/5] COPY . /app 2.3s => [3/5] WORKDIR /app 0.2s => [4/5] RUN pip install -U datasette 26.9s => [5/5] RUN datasette inspect covid.db --inspect-file inspect-data.json 3.1s => exporting to image 1.2s => => exporting layers 1.2s => => writing image sha256:b5db0c205cd3454c21fbb00ecf6043f261540bcf91c2dfc36d418f1a23a75d7a 0.0s Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them Traceback (most recent call last): "main", mod_spec) File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main__.py", line 7, in <module> File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette\cli.py", line 283, in package call(args) File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils__init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpkb27qid3\datasette'``` |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1479/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1049946823 | I_kwDOBm6k_c4-lOrH | 1502 | Full-text search: No support to unary "-" operator | gustavorps 516827 | open | 0 | 0 | 2021-11-10T15:11:19Z | 2021-11-10T15:11:19Z | NONE | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1502/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||||
1072106103 | I_kwDOBm6k_c4_5wp3 | 1542 | feature request: order and dependency of plugins (that use js) | fs111 33631 | open | 0 | 1 | 2021-12-06T12:40:45Z | 2021-12-15T17:47:08Z | NONE | I have been playing with datasette for the last couple of weeks and it is great! I am a big fan of Basically what would like to have is a way to say load my plugin after the plugins I depend on have been loaded and rendered. There seems to be no prior art where plugins have these dependencies on the js level so I was wondering if that could be added or if it exists how to do it. Basically what I want to do is: my-awesome-plugin has a dependency on datastte-cluster-map. Whenever datasette cluster map has finished rendering on page load, call my plugin, but no earlier. To make that work datasette probably needs some total order in which way plugins are loaded intialized. Since I am new to datastte, I may be missing something obvious, so please let me know if the above makes no sense. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1542/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1091257796 | I_kwDOBm6k_c5BC0XE | 1584 | give error with recursive sql | tunguyenatwork 58088336 | open | 0 | 0 | 2021-12-30T18:53:16Z | 2021-12-30T18:53:16Z | NONE | I got an error "near "WITH": syntax error" after I upgraded to version 0.59 from 0.52.4. This error is related to recursive sql. It works great on the previous version but it failed after upgraded. Below is an example of sql: WITH RECURSIVE manager_of(position, super_position) AS (SELECT position, case ifnull(INDIRECT_SUPER_POSITION,'') when '' then super_position else INDIRECT_SUPER_POSITION end as SUPER_POSITION FROM position where super_position<>'SGV000000001' and super_position!='' and position <> super_position),chain_manager_of_position(position, level) AS (SELECT super_position, 1 as level FROM manager_of WHERE super_position!='' and (position=:pos or position in (Select position from employee where employee=:ein)) UNION ALL SELECT super_position, level+1 as level FROM manager_of JOIN chain_manager_of_position USING(position)) SELECT * FROM chain_manager_of_position left join employee using(position) where employee is not NULL order by level limit 1 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1584/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1121121305 | I_kwDOBm6k_c5C0vQZ | 1618 | Reconsider policy on blocking queries containing the string "pragma" | strada 770231 | open | 0 | 6 | 2022-02-01T19:39:46Z | 2022-02-02T19:42:03Z | NONE | First of all, thanks for creating this cool project, and also supporting publishing to various hosting services out of the box. While testing out, I noticed legitimate queries such as
Example as seen from a Datasette instance: https://fivethirtyeight.datasettes.com/polls?sql=select+*+from+books+where+title+like+%27Pragmatic%25%27%0D%0A I'd propose a regular expression like
I can create a pull request with this change, unless the maintainers think it would allow unwanted queries to be executed. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1618/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1129052172 | I_kwDOBm6k_c5DS_gM | 1633 | base_url or prefix does not work with _exact match | henrikek 6613091 | open | 0 | 2 | 2022-02-09T21:45:07Z | 2022-04-28T09:12:56Z | NONE | When i hit "Apply" button to search with "_exact" for a column syntax the URL prefix is removed from the url. And the result is: If I add the marked row to url_builder.py it seams to work: |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1633/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1148725876 | I_kwDOBm6k_c5EeCp0 | 1640 | Support static assets where file length may change, e.g. logs | broccolihighkicks 57859326 | open | 0 | 2 | 2022-02-24T00:34:42Z | 2022-03-05T01:19:25Z | NONE | This is a bit of an oxymoron. I am serving a log.txt file for a background process using the Datasette --static CLI. This is useful as I can observe a background process from the web UI to see any errors that occur (instead of spelunking the logs via docker exec/ssh etc). I get this error, which I think is because Datasette assumes that the size of the content does not change (but appending new log lines means the content length changes).
Thanks, I am finding Datasette very useful. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1640/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1154399841 | I_kwDOBm6k_c5Ezr5h | 1645 | Sensible `cache-control` headers for static assets, including those served by plugins | curiousleo 697092 | open | 0 | Datasette 1.0 3268330 | 4 | 2022-02-28T18:12:03Z | 2022-03-08T02:59:29Z | NONE | What I'm seeingWith A table view returns A static asset returns no What I expected to seeI expected the static asset to return a Why this mattersI'm productionising a Datasette deployment right now and was looking into putting it behind a Varnish instance. I was surprised to see requests for static assets being served from Datasette rather than Varnish, this is what led me to look more closely at the response headers. While Datasette serves those static assets pretty quickly, I don't see why Datasette should serve them. By their nature, static assets like images and JS files are very cacheable, so it should be easy to serve them from a cache like Varnish. (Note that Varnish can easily be configured to override this header, enabling caching for static assets. But it would be better if this override was not necessary.) DiscussionIt seems clear to me that serving static assets without a I see two options here: A. Static assets use the same logic as table / SQL views to set the |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1645/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||
1174655187 | I_kwDOBm6k_c5GA9DT | 1671 | Filters fail to work correctly against calculated numeric columns returned by SQL views because type affinity rules do not apply | rayvoelker 9308268 | open | 0 | 8 | 2022-03-20T19:17:24Z | 2022-03-22T17:43:12Z | NONE | I found a strange behavior, and I'm not sure if it's related to views and boolean values perhaps, or if there's something else weird going on here, but I'll provide an example that may help show what I'm seeing happen. ```bash !/bin/bashecho "\"id\",\"expiration_date\" 0,2018-01-04 1,2019-01-05 2,2020-01-06 3,2021-01-07 4,2022-01-08 5,2023-01-09 6,2024-01-10 7,2025-01-11 8,2026-01-12 9,2027-01-13 " > test.csv csvs-to-sqlite test.csv test.db sqlite-utils create-view --replace test.db test_view "select id, expiration_date, case when julianday('NOW') >= julianday(expiration_date) then 1 else 0 end as has_expired FROM test" ```
Thanks again and let me know if you want me to provide anything else! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1671/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1181037277 | I_kwDOBm6k_c5GZTLd | 1686 | heroku bails if app name specifed in datasette publish is the same as existing app | tlongers 2115933 | open | 0 | 0 | 2022-03-25T17:10:34Z | 2022-03-25T17:10:34Z | NONE | Seem that
The resulting error has the below traceback:
It's a solid failsafe, but does |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1686/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 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 } |
||||||||
1247315144 | I_kwDOBm6k_c5KWITI | 1749 | LDAP auth plugin | benswift 380241 | open | 0 | 0 | 2022-05-25T01:35:12Z | 2022-05-25T01:35:12Z | NONE | A search of the plugins directory doesn't turn up anything, but is is possible to set up a Datasette app which uses my organisation's LDAP for auth? If not, how much work would it be to write one (I may have some spare cycles on my team to do this, but we haven't written a datasette plugin before). |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1749/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
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 |
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 } |
||||||||
1266207143 | I_kwDOBm6k_c5LeMmn | 1755 | Gunicorn | ar-jan 1176293 | open | 0 | 0 | 2022-06-09T14:18:46Z | 2022-06-09T14:18:46Z | NONE | I've read issue #514 which resulted in running Datasette via systemd as recommended approach. We've also adopted this (for now), but I notice that Uvicorn says the following:
We usually deploy Python applications via Gunicorn for these process management features (e.g. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1755/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1280799259 | I_kwDOBm6k_c5MV3Ib | 1761 | ensure_ascii=False | mustafa0x 1473102 | open | 0 | 0 | 2022-06-22T19:58:13Z | 2022-06-22T19:58:30Z | NONE | Hi, thanks for the project! For the JSON output, I would consider defaulting to |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1761/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1323332006 | I_kwDOBm6k_c5O4HGm | 1774 | Request of feature for mongo | johnfelipe 428820 | open | 0 | 0 | 2022-07-31T01:00:05Z | 2022-07-31T01:00:05Z | NONE | Will love if can we use datasette for mongo and all pipelines and workflows |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1774/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1323346408 | I_kwDOBm6k_c5O4Kno | 1775 | i18n support | johnfelipe 428820 | open | 0 | 9 | 2022-07-31T02:51:04Z | 2023-02-10T18:04:40Z | NONE | I want contribute for translate UI to es, de, de and it if you share strings |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1775/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1337541526 | I_kwDOBm6k_c5PuUOW | 1780 | `facet_time_limit_ms` and `sql_time_limit_ms` overlap? | davepeck 53165 | open | 0 | 1 | 2022-08-12T17:55:37Z | 2022-08-15T23:50:08Z | NONE | I needed more than the default 200ms to facet a specific column in a database I was working with, so I ran But it still didn't work; it took a moment to realize I also needed to up my I'm happy to submit a PR that documents this behavior if it's helpful. Or, if there's a code change we'd like to make (like making sure Apologies if I missed this somewhere in the docs. And: thanks. I'm really enjoying the simple, effective tooling datasette gives me out of the box for exploring my databases! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1780/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1347717749 | I_kwDOBm6k_c5QVIp1 | 1791 | Updating metadata.json on Datasette for MacOS | ment4list 1780782 | open | 0 | 1 | 2022-08-23T10:41:16Z | 2022-08-23T13:29:51Z | NONE | I've installed Datasette for Mac as per the documentation and it's working great! However, I'm not sure how to go about adding something like "Canned Queries" or utilising other advanced features or settings by manipulating the I can view these files from the Datasette App from the top right "burger" menu but it only shows the contents of the file with no way to edit or change it. Am I missing something? Where can I update the PS: This is a fantastic tool! Thanks so much for all the effort and especially adding a bunch of different ways to get started quickly! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1791/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1363552780 | I_kwDOBm6k_c5RRioM | 1805 | truncate_cells_html does not work for links? | CharlesNepote 562352 | open | 0 | 7 | 2022-09-06T16:41:29Z | 2022-10-03T09:18:06Z | NONE | We have many links inside our dataset (please don't blame us ;-). When I use Eg. https://images.openfoodfacts.org/images/products/000/000/000/088/nutrition_fr.5.200.jpg (87 chars) is not truncated: IMHO It would make sense that links should be treated as HTML. The link should work of course, but Datasette could truncate it: https://images.openfoodfacts.org/images/products/00[...].jpg |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1805/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
reopened | |||||||
1365741480 | I_kwDOBm6k_c5RZ4-o | 1806 | UX to recover from Error 500: "You can only execute one statement at a time." | jieter 1470389 | open | 0 | 0 | 2022-09-08T08:01:27Z | 2022-09-08T08:01:37Z | NONE | When using the Custom SQL query view, when accidentally adding a semicolon in the middle of my query, datasette errors with:
The error view doesn't contain the query textarea anymore, so it provides no easy way recover from the error. It would be nice if I could change and submit it again. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1806/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1375792876 | I_kwDOBm6k_c5SAO7s | 1811 | Drop-down menu with "REGEXP" choice | CharlesNepote 562352 | open | 0 | 0 | 2022-09-16T11:06:18Z | 2022-09-16T15:30:31Z | NONE | Drop-down menu below could add "REGEXP" choice when REGEXP sqlite extension is installed and used Not sure. Close the issue if you don't find it relevant. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1811/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
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 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 } |
||||||||
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 |
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:
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 } |
||||||||
1446657889 | I_kwDOBm6k_c5WOj9h | 1885 | Integrate inside GUI app (tkinter) | dmalves 5115787 | open | 0 | 0 | 2022-11-13T00:10:43Z | 2022-11-13T00:11:09Z | NONE | Hi, I'd like to integrate datasette inside a tkinter app. The app should be able to start/stop datasette server. How could I integrate datasette inside my app, so it can start and stop datasette server? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1885/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
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 I guess this is because a) the custom domain of the Firebase app isn't being passed through in the 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 } |
||||||||
1452572348 | I_kwDOBm6k_c5WlH68 | 1900 | datasette package --spatialite throws error during build | rdmurphy 419145 | open | 0 | 11 | 2022-11-17T02:03:28Z | 2022-11-18T08:00:38Z | NONE | Hello! Attempting to use
Seems to be throwing when this step is ran:
This is with |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1900/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.) * 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:
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 } |
||||||||
1531991339 | I_kwDOBm6k_c5bUFUr | 1989 | Suggestion: Hiding columns | pax 116795 | open | 0 | 3 | 2023-01-13T09:33:32Z | 2023-03-31T06:18:05Z | NONE | As there's the possibility of hiding tables - I've run into the need of hiding specific columns - data that's either not relevant for public or can't be shown due to privacy reasons. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1989/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1532000914 | I_kwDOBm6k_c5bUHqS | 1990 | Suggestion: Highlight error messages ('These facets timed out') | pax 116795 | open | 0 | 0 | 2023-01-13T09:40:58Z | 2023-01-13T09:40:58Z | NONE | I had trouble figuring out why faceting didn't work in some instances, it took a while before I noticed the These facets timed out notice. It might help if that would be highlighted, or fading out highlight - if one might think it would be too visually disturbing. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1990/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1533673397 | I_kwDOBm6k_c5baf-1 | 1991 | fts5 tables are not auto-detected and hidden | keturn 83819 | open | 0 | 0 | 2023-01-15T06:00:42Z | 2023-01-20T04:54:24Z | NONE | I set up a Datasette instance and was following the docs on full-text search. When I used fts4, datasette automatically hid the FTS tables and added the FTS search box where appropriate, but when I changed to fts5 it no longer does either. If I manually set My table and view creation code looks like this:
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1991/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1536851861 | I_kwDOBm6k_c5bmn-V | 1994 | Stuck on loading screen | jackhagley 10913053 | open | 0 | 1 | 2023-01-17T18:33:49Z | 2023-01-23T08:21:08Z | NONE | Can’t actually open it! Downloaded today from the releases tab Running macOS13.1
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1994/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1538197093 | I_kwDOBm6k_c5brwZl | 1995 | foreign_keys error 500 | jonschoning 137183 | open | 0 | 0 | 2023-01-18T15:27:36Z | 2023-01-18T16:44:01Z | NONE | Error 500 expected string or bytes-like object run
Schema: ``` CREATE TABLE IF NOT EXISTS "user" ( "id" INTEGER PRIMARY KEY, "name" VARCHAR NOT NULL, "password_hash" VARCHAR NOT NULL, "api_token" VARCHAR NULL, "private_default" BOOLEAN NOT NULL, "archive_default" BOOLEAN NOT NULL, "privacy_lock" BOOLEAN NOT NULL, CONSTRAINT "unique_user_name" UNIQUE ("name") ); CREATE TABLE IF NOT EXISTS "bookmark" ( "id" INTEGER PRIMARY KEY, "user_id" INTEGER NOT NULL REFERENCES "user" ON DELETE RESTRICT ON UPDATE RESTRICT, "slug" VARCHAR NOT NULL DEFAULT (Lower(Hex(Randomblob(6)))), "href" VARCHAR NOT NULL, "description" VARCHAR NOT NULL, "extended" VARCHAR NOT NULL, "time" TIMESTAMP NOT NULL, "shared" BOOLEAN NOT NULL, "to_read" BOOLEAN NOT NULL, "selected" BOOLEAN NOT NULL, "archive_href" VARCHAR NULL, CONSTRAINT "unique_user_href" UNIQUE ("user_id", "href"), CONSTRAINT "unique_user_slug" UNIQUE ("user_id", "slug") ); CREATE TABLE IF NOT EXISTS "bookmark_tag" ( "id" INTEGER PRIMARY KEY, "user_id" INTEGER NOT NULL REFERENCES "user" ON DELETE RESTRICT ON UPDATE RESTRICT, "tag" VARCHAR NOT NULL, "bookmark_id" INTEGER NOT NULL REFERENCES "bookmark" ON DELETE RESTRICT ON UPDATE RESTRICT, "seq" INTEGER NOT NULL, CONSTRAINT "unique_user_tag_bookmark_id" UNIQUE ("user_id", "tag", "bookmark_id"), CONSTRAINT "unique_user_bookmark_id_tag_seq" UNIQUE ("user_id", "bookmark_id", "tag", "seq") ); CREATE TABLE IF NOT EXISTS "note" ( "id" INTEGER PRIMARY KEY, "user_id" INTEGER NOT NULL REFERENCES "user" ON DELETE RESTRICT ON UPDATE RESTRICT, "slug" VARCHAR NOT NULL DEFAULT (Lower(Hex(Randomblob(10)))), "length" INTEGER NOT NULL, "title" VARCHAR NOT NULL, "text" VARCHAR NOT NULL, "is_markdown" BOOLEAN NOT NULL, "shared" BOOLEAN NOT NULL DEFAULT false, "created" TIMESTAMP NOT NULL, "updated" TIMESTAMP NOT NULL ); CREATE INDEX idx_bookmark_time ON bookmark (user_id, time DESC); CREATE INDEX idx_bookmark_tag_bookmark_id ON bookmark_tag (bookmark_id, id, tag, seq); CREATE INDEX idx_note_user_created ON note (user_id, created DESC); ``` |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1995/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
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 Datasette uses the double-quote syntax in a number of key places, and is thus completely broken in this environment. My experience was to The error: The responsible SQL: I then installed datasette from GitHub master in development mode and changed the offending SQL to use correct quotes: 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"):
I will try to continue playing with this, but I also hope that the datasette developers will enable this mode in a test environment as I am unlikely to be able to exercise all of the SQL in the codebase, or make a pull request very soon. Note that the DQS setting compile-time option can be overridden at runtime with calls to the C API:
As far as I can tell, |
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 } |
||||||||
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 |
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 } |
|||||||
1575880841 | I_kwDOBm6k_c5d7giJ | 2020 | Documentation refers to "off" setting; doesn't seem to work, "false" does | dmick 1350673 | open | 0 | 0 | 2023-02-08T10:38:10Z | 2023-02-08T10:38:10Z | NONE | https://docs.datasette.io/en/stable/settings.html#suggest-facets, among others, suggests using "off" to disable the setting; however, this doesn't appear to work in the JSON config files, where it apparently needs to be a "JSON boolean" and have the values "true" or "false". Perhaps the Python code is more flexible?...but either way, the documentation probably should mention it. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2020/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1577548579 | I_kwDOBm6k_c5eB3sj | 2021 | Docker images for 1.0 alphas? | meowcat 1563881 | open | 0 | 0 | 2023-02-09T09:35:52Z | 2023-02-09T09:35:52Z | NONE | Hi, would you consider putting 1.0alpha images on Dockerhub? (Also, how usable are the alphas?) |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2021/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1590183272 | I_kwDOBm6k_c5eyEVo | 2027 | How to redirect from "/" to a specific db/table | dmick 1350673 | open | 0 | 4 | 2023-02-18T03:14:01Z | 2023-03-08T04:42:22Z | NONE | Using nginx to redirect public IP to the local uvicorn server as 'normal'. I can't figure out how to redirect such that '/' results in accessing the one db/table I want to serve; redirecting / to /db/table breaks some of the CSS; fooling with base_url doesn't seem to help. Can someone explain this, if it's possible? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2027/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1592327343 | I_kwDOBm6k_c5e6Pyv | 2029 | Sorry Simon, didn't know how else to contact you | llchristopherson 5804626 | open | 0 | 0 | 2023-02-20T19:02:53Z | 2023-02-20T19:02:53Z | NONE | Hi Simon, Would you be willing to chat with me about Datasette? I have some questions. I am working on a project to evaluate data ingestion tools for a research organization and I ran across Datasette. I have looked through a lot of your documentation, but still have some questions, which are very specific. If you would be willing to write me back about this, my email is laura@renci.org. Thanks, Laura |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2029/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1646068413 | I_kwDOBm6k_c5iHQK9 | 2048 | Test failures encountered while packaging for GNU Guix | Apteryks 8332263 | open | 0 | 0 | 2023-03-29T15:36:54Z | 2023-03-29T15:36:54Z | NONE | Hello, While reviewing a packaged submitted to Guix to add app_client = <datasette.utils.testing.TestClient object at 0x7fffef099be0>
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:701: AssertionError ----------------------------- Captured stderr call ----------------------------- ERROR: conn=<sqlite3.Connection object at 0x7fffeedfe5d0>, sql = 'select rowid, * from [table%7E2Fwith%7E2Fslashes%7E2Ecsv] where "rowid"=:p0', params = {'p0': '3'}: no such table: table%7E2Fwith%7E2Fslashes%7E2Ecsv __ test_database_page_for_database_with_dot_in_name __ [gw15] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_with_dot = <datasette.utils.testing.TestClient object at 0x7fffef3416a0>
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:633: AssertionError ___ test_tilde_encoded_database_names[fo%o] ______ [gw6] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python db_name = 'fo%o'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:983: AssertionError ___ testtilde_encoded_database_names[f~/c.d] _____ [gw7] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python db_name = 'f~/c.d'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:983: AssertionError __ test_database_with_space_in_name[/searchable.json] __ [gw21] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = <datasette.utils.testing.TestClient object at 0x7fffef11d730> path = '/searchable.json'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in call return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(args, *kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( self = <httpx.AsyncClient object at 0x7fffef11d940> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E2Ejson')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects ___ test_database_with_space_in_name[.json] ______ [gw19] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = <datasette.utils.testing.TestClient object at 0x7fffef085a90> path = '.json'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in call return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(args, *kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( self = <httpx.AsyncClient object at 0x7fffecd99ca0> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E2Ejson')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects __ test_database_with_space_in_name[/searchable_view] __ [gw22] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = <datasette.utils.testing.TestClient object at 0x7fffeeab4c70> path = '/searchable_view'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in call return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(args, *kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( self = <httpx.AsyncClient object at 0x7fffec5b3580> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable_view')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/client.py:1672: TooManyRedirects ___ test_database_with_space_in_name[/] ___ [gw18] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = <datasette.utils.testing.TestClient object at 0x7fffef085be0> path = '/'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in call return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(args, *kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( self = <httpx.AsyncClient object at 0x7fffec5f1370> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects ____ test_database_with_space_in_name[/searchable] _____ [gw20] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = <datasette.utils.testing.TestClient object at 0x7fffef099f10> path = '/searchable'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in call return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(args, *kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( self = <httpx.AsyncClient object at 0x7fffecd8c790> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects __ testdatabase_with_space_in_name[/searchable_view.json] ____ [gw23] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = <datasette.utils.testing.TestClient object at 0x7fffef341520> path = '/searchable_view.json'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in call return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(args, *kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( self = <httpx.AsyncClient object at 0x7fffef085460> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable_view%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E2Ejson')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects __ test_weird_database_names[database (1).sqlite] __ [gw7] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python tmpdir = local('/tmp/guix-build-datasette-0.64.2.drv-0/pytest-of-nixbld/pytest-0/popen-gw7/test_weird_database_names_data0') filename = 'database (1).sqlite'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_cli.py:321: AssertionError ___ test_weird_database_names[test-database (1).sqlite] ______ [gw6] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python tmpdir = local('/tmp/guix-build-datasette-0.64.2.drv-0/pytest-of-nixbld/pytest-0/popen-gw6/test_weird_database_names_test0') filename = 'test-database (1).sqlite'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_cli.py:321: AssertionError _ test_row_html_compound_primary_key[/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd-expected1] _ [gw11] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffec2d37f0> path = '/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd' expected = [['<td class="col-pk1 type-str">a/b</td>', '<td class="col-pk2 type-str">.c-d</td>', '<td class="col-content type-str">c</td>']]
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:370: AssertionError _ test_css_classes_on_body[/fixtures/table~2Fwith~2Fslashes~2Ecsv-expected_classes5] _ [gw3] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffd4743fa0> path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected_classes = ['table', 'db-fixtures', 'table-tablewithslashescsv-fa7563']
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:238: AssertionError _ test_templates_considered[/fixtures/table~2Fwith~2Fslashes~2Ecsv-table-fixtures-tablewithslashescsv-fa7563.html, *table.html] _ [gw3] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffd4743fa0> path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected_considered = 'table-fixtures-tablewithslashescsv-fa7563.html, *table.html'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:264: AssertionError _ test_alternate_url_json[/fixtures/table~2Fwith~2Fslashes~2Ecsv-http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json] _ [gw21] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffecd9fac0> path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected = 'http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:948: AssertionError _ test_edit_sql_link_on_canned_queries[/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC-/fixtures?sql=select+id%2C+name+from+facet_cities+order+by+id+limit+1%3B] _ [gw18] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffec5952e0> path = '/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC' expected = '/fixtures?sql=select+id%2C+name+from+facet_cities+order+by+id+limit+1%3B'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:841: AssertionError _____ test_table_with_slashes_in_name ______ [gw9] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffec0860a0>
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:141: AssertionError ___ testcustom_query_with_unicode_characters _____ [gw8] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffec1cda90>
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:1042: /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:40: in json return json.loads(self.text) /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/json/init.py:346: in loads return _default_decoder.decode(s) /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/json/decoder.py:337: in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) self = <json.decoder.JSONDecoder object at 0x7ffff7479760>, s = '', idx = 0
/gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/json/decoder.py:355: JSONDecodeError _ test_searchable[/fixtures/searchable.json?_search=te+AND+do&_searchmode=raw-expected_rows3] _ [gw13] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffd470bf10> path = '/fixtures/searchable.json?_search=te+AND+do&_searchmode=raw' expected_rows = [[1, 'barry cat', 'terry dog', 'panther'], [2, 'terry dog', 'sara weasel', 'puma']]
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:402: AssertionError _ test_searchmode[table_metadata1-_search=te+AND+do-expected_rows1] ____ [gw20] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python table_metadata = {'searchmode': 'raw'}, querystring = '_search=te+AND+do' expected_rows = [[1, 'barry cat', 'terry dog', 'panther'], [2, 'terry dog', 'sara weasel', 'puma']]
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:442: AssertionError _ test_searchmode[table_metadata2-_search=te+AND+do&_searchmode=raw-expected_rows2] _ [gw20] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python table_metadata = {}, querystring = '_search=te+AND+do&_searchmode=raw' expected_rows = [[1, 'barry cat', 'terry dog', 'panther'], [2, 'terry dog', 'sara weasel', 'puma']]
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:442: AssertionError
=========================== short test summary info ============================
FAILED tests/test_api.py::test_row_strange_table_name - assert 400 == 200
FAILED tests/test_api.py::test_database_page_for_database_with_dot_in_name - ...
FAILED tests/test_api.py::test_tilde_encoded_database_names[fo%o] - assert 30...
FAILED tests/test_api.py::test_tilde_encoded_database_names[f~/c.d] - assert ...
FAILED tests/test_api.py::test_database_with_space_in_name[/searchable.json]
FAILED tests/test_api.py::test_database_with_space_in_name[.json] - httpx.Too...
FAILED tests/test_api.py::test_database_with_space_in_name[/searchable_view]
FAILED tests/test_api.py::test_database_with_space_in_name[/] - httpx.TooMany...
FAILED tests/test_api.py::test_database_with_space_in_name[/searchable] - htt...
FAILED tests/test_api.py::test_database_with_space_in_name[/searchable_view.json]
FAILED tests/test_cli.py::test_weird_database_names[database (1).sqlite] - As...
FAILED tests/test_cli.py::test_weird_database_names[test-database (1).sqlite]
FAILED tests/test_html.py::test_row_html_compound_primary_key[/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd-expected1]
FAILED tests/test_html.py::test_css_classes_on_body[/fixtures/table~2Fwith~2Fslashes~2Ecsv-expected_classes5]
FAILED tests/test_html.py::test_templates_considered[/fixtures/table~2Fwith~2Fslashes~2Ecsv-table-fixtures-tablewithslashescsv-fa7563.html, table.html]
FAILED tests/test_html.py::test_alternate_url_json[/fixtures/table~2Fwith~2Fslashes~2Ecsv-http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json]
FAILED tests/test_html.py::test_edit_sql_link_on_canned_queries[/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC-/fixtures?sql=select+id%2C+name+from+facet_cities+order+by+id+limit+1%3B]
FAILED tests/test_table_api.py::test_table_with_slashes_in_name - assert 302 ...
FAILED tests/test_table_api.py::test_custom_query_with_unicode_characters - j...
FAILED tests/test_table_api.py::test_searchable[/fixtures/searchable.json?_search=te+AND+do&_searchmode=raw-expected_rows3]
FAILED tests/test_table_api.py::test_searchmode[table_metadata1-_search=te+AND+do-expected_rows1]
FAILED tests/test_table_api.py::test_searchmode[table_metadata2-_search=te+AND+do*&_searchmode=raw-expected_rows2]
=========== 22 failed, 1049 passed, 3 skipped in 1522.28s (0:25:22) ============
error: in phase 'check': uncaught exception:
%exception #<&invoke-error program: "/gnu/store/ziqwkzz6znb5d3c245xn0cq5ra2ly0w3-python-pytest-7.1.3/bin/pytest" arguments: ("-vv" "-n" "24" "-m" "not serial") exit-status: 1 term-signal: #f stop-signal: #f>
phase `check' failed after 1523.3 seconds
Thank you! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2048/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
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 ( Is there way around this? Maybe a way to add ownership verification through Google's search console? |
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 } |
||||||||
1690765434 | I_kwDOBm6k_c5kxwh6 | 2067 | Litestream-restored db: errors on 3.11 and 3.10.8; but works on py3.10.7 and 3.10.6 | justmars 39538958 | open | 0 | 1 | 2023-05-01T12:42:28Z | 2023-05-03T00:16:03Z | NONE | Hi! Wondering if this issue is limited to my local system or if it affects others as well. It seems like 3.11 errors out on a "litestream-restored" database. On further investigation, it also appears to conk out on 3.10.8 but works on 3.10.7 and 3.10.6. To demo issue I created a test database, replicated it to an aws s3 bucket, then restored the same under various .pyenv-versioned shells where I test whether I can read the database via the sqlite3 cli. ```sh create new shell with 3.11.3litestream restore -o data/db.sqlite s3://mytestbucketxx/db sqlite3 data/db.sqlite SQLite version 3.41.2 2023-03-22 11:56:21Enter ".help" for usage hints.sqlite> .tables_litestream_lock _litestream_seq moviesqlite>``` However this get me an Error on 3.11.3 and 3.10.8```sh datasette data/db.sqlite ``` ```console /tester/.venv/lib/python3.11/site-packages/pkg_resources/__init__.py:121: DeprecationWarning: pkg_resources is deprecated as an API warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning) Traceback (most recent call last): File "/tester/.venv/bin/datasette", line 8, in <module> sys.exit(cli()) ^^^^^ File "/tester/.venv/lib/python3.11/site-packages/click/core.py", line 1130, in __call__ return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/click/core.py", line 1055, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/click/core.py", line 1657, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/click/core.py", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/click/core.py", line 760, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/datasette/cli.py", line 143, in wrapped return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/datasette/cli.py", line 615, in serve asyncio.get_event_loop().run_until_complete(check_databases(ds)) File "/Users/mv/.pyenv/versions/3.11.3/lib/python3.11/asyncio/base_events.py", line 653, in run_until_complete return future.result() ^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/datasette/cli.py", line 660, in check_databases await database.execute_fn(check_connection) File "/tester/.venv/lib/python3.11/site-packages/datasette/database.py", line 213, in execute_fn return await asyncio.get_event_loop().run_in_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/mv/.pyenv/versions/3.11.3/lib/python3.11/concurrent/futures/thread.py", line 58, in run result = self.fn(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/datasette/database.py", line 211, in in_thread return fn(conn) ^^^^^^^^ File "/tester/.venv/lib/python3.11/site-packages/datasette/utils/__init__.py", line 951, in check_connection for r in conn.execute( ^^^^^^^^^^^^^ sqlite3.OperationalError: unable to open database file ```Works on 3.10.7, 3.10.6```sh # create new shell with 3.10.7 / 3.10.6 litestream restore -o data/db.sqlite s3://mytestbucketxx/db datasette data/db.sqlite # ... # INFO: Uvicorn running on http://127.0.0.1:8001 (Press CTRL+C to quit) ```In both scenarios, the only dependencies were the pinned python version and the latest Datasette version 0.64. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2067/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1698865182 | I_kwDOBm6k_c5lQqAe | 2069 | [BUG] Cannot insert new data to deployed instance | yqlbu 31861128 | open | 0 | 1 | 2023-05-07T02:59:42Z | 2023-05-07T03:17:35Z | NONE | SummaryRecently, I deployed an instance of datasette to Vercel with the following plugins:
With the above plugins, I was able to insert new data to local sqlite db. However, when it comes to the deployment on Vercel, things behave differently. I observed some errors from the logs console on Vercel:
I think it is a potential bug. Reproducemetadata.json```json { "plugins": { "datasette-insert": { "allow": { "id": "*" } }, "datasette-auth-tokens": { "tokens": [ { "token": { "$env": "INSERT_TOKEN" }, "actor": { "id": "repeater" } } ], "param": "_auth_token" } } } ``` commands```bash # deploy datasette publish vercel remote.db \ --project=repeater-bot-sqlite \ --metadata metadata.json \ --install datasette-auth-tokens \ --install datasette-insert \ --vercel-json=vercel.json # test insert cat fixtures/dogs.json | curl --request POST -d @- -H "Authorization: Bearer <token>" \ 'https://repeater-bot-sqlite.vercel.app/-/insert/remote/dogs?pk=id' ``` logs```console Traceback (most recent call last): File "/var/task/datasette/app.py", line 1354, in route_path response = await view(request, send) File "/var/task/datasette/app.py", line 1500, in async_view_fn response = await async_call_with_supported_arguments( File "/var/task/datasette/utils/__init__.py", line 1005, in async_call_with_supported_arguments return await fn(*call_with) File "/var/task/datasette_insert/__init__.py", line 14, in insert_or_upsert response = await insert_or_upsert_implementation(request, datasette) File "/var/task/datasette_insert/__init__.py", line 91, in insert_or_upsert_implementation table_count = await db.execute_write_fn(write_in_thread, block=True) File "/var/task/datasette/database.py", line 167, in execute_write_fn raise result File "/var/task/datasette/database.py", line 179, in _execute_writes conn = self.connect(write=True) File "/var/task/datasette/database.py", line 93, in connect assert not (write and not self.is_mutable) AssertionError ``` |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2069/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1727478903 | I_kwDOBm6k_c5m9zx3 | 2081 | Update Endpoints defined in metadata throws 403 Forbidden after a while | cutmasta-kun 15085007 | open | 0 | 0 | 2023-05-26T11:52:30Z | 2023-05-26T11:52:30Z | NONE | Hello. I expose an endpoint to update This works really well! But after a while, the Datasette Instanz answers with 403 Forbidden. I have to delete the database and recreate it in order to work again. Any help here? (´。_。`) |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2081/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1761613778 | I_kwDOBm6k_c5pABfS | 2084 | Support facets for columns that contain timestamps | devxpy 19492893 | open | 0 | 0 | 2023-06-17T03:33:54Z | 2023-06-17T03:33:54Z | NONE | Django has this very nice filter for datetime fields - It would be nice to have something similar to facet by a field that contains a timestamp in datasette too - Which doesn't seem to do anything with timestamps right now... |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2084/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1762180409 | I_kwDOBm6k_c5pCL05 | 2085 | Interactive row selection in Datasette | learning4life 24938923 | open | 0 | 0 | 2023-06-18T08:29:45Z | 2023-06-18T08:31:23Z | NONE | Simon did a excellent prototype of an interactive row selection in Datasette. I hope this functionality can be turned into a Datasette plugin. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2085/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1794097871 | I_kwDOBm6k_c5q78LP | 2095 | Introduce "dark mode" CSS | jamietanna 3315059 | open | 0 | 0 | 2023-07-07T19:15:58Z | 2023-07-07T19:15:58Z | NONE | Using the CSS media query |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2095/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1811824307 | I_kwDOBm6k_c5r_j6z | 2105 | When reverse proxying datasette with nginx an URL element gets erronously added | aki-k 2235371 | open | 0 | 3 | 2023-07-19T12:16:53Z | 2023-07-21T21:17:09Z | NONE | I use this nginx config: ``` location /datasette-llm { return 302 /datasette-llm/; }
https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.json?sql=select+*+from+_llm_migrations https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.csv?sql=select+*+from+_llm_migrations&_size=max When I remove that extra "datasette-llm" from the URL, those links work too. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2105/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1824457306 | I_kwDOBm6k_c5svwJa | 2122 | Parameters on canned queries: fixed or query-generated list? | meowcat 1563881 | open | 0 | 0 | 2023-07-27T14:07:07Z | 2023-07-27T14:07:07Z | NONE | Hi, currently parameters in canned queries are just text fields. It would be cool to have one of the options below. Would you accept a PR doing something in this direction? (Possibly this could even work as a plugin.)
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2122/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1825007061 | I_kwDOBm6k_c5sx2XV | 2123 | datasette serve when invoked with --reload interprets the serve command as a file | cadeef 79087 | open | 0 | 2 | 2023-07-27T19:07:22Z | 2023-09-18T13:02:46Z | NONE | When running
If a 'serve' file is created it launches properly (albeit with an empty database called serve):
Version (running from HEAD on main):
This issue appears to have existed for awhile as https://github.com/simonw/datasette/issues/1380#issuecomment-953366110 mentions the error in a different context. I'm happy to debug and land a patch if it's welcome. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2123/reactions", "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1858228057 | I_kwDOBm6k_c5uwk9Z | 2147 | Plugin hook for database queries that are run | jackowayed 18899 | open | 0 | 6 | 2023-08-20T18:43:50Z | 2023-08-24T03:54:35Z | NONE | I'm interested in making a plugin that saves every query that gets run to a table in the database. (I know about datasette-query-history but thought it would be good to have a server-side option.) As far as I can tell reading the docs, there isn't really a hook setup to allow this. Maybe I could hack it with some of the hooks that are passed requests, but that doesn't seem good. I'm a little surprised this isn't possible, so I thought I would open an issue and see if that's a deeply considered decision or just "haven't needed it yet." I'm potentially interested in implementing the hook if the latter. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2147/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1899310542 | I_kwDOBm6k_c5xNS3O | 2187 | Datasette for serving JSON only | geofinder 19705106 | open | 0 | 0 | 2023-09-16T05:48:29Z | 2023-09-16T05:48:29Z | NONE | Hi, is there any way to use datasette for serving json only without displaying webpage? I've tried to search about this in documentation but didn't get any information |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2187/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1931794126 | I_kwDOBm6k_c5zJNbO | 2198 | --load-extension=spatialite not working with Windows | hcarter333 363004 | open | 0 | 0 | 2023-10-08T12:50:22Z | 2023-10-08T12:50:22Z | NONE | Using each of
and
and
I got the error: ``` File "C:\Users\m3n7es\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\datasette\database.py", line 209, in in_thread self.ds._prepare_connection(conn, self.name) File "C:\Users\m3n7es\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\datasette\app.py", line 596, in _prepare_connection conn.execute("SELECT load_extension(?, ?)", [path, entrypoint]) sqlite3.OperationalError: The specified module could not be found. ``` I finally tried modifying the code in app.py to read: ``` def _prepare_connection(self, conn, database): conn.row_factory = sqlite3.Row conn.text_factory = lambda x: str(x, "utf-8", "replace") if self.sqlite_extensions: conn.enable_load_extension(True) for extension in self.sqlite_extensions: # "extension" is either a string path to the extension # or a 2-item tuple that specifies which entrypoint to load. #if isinstance(extension, tuple): # path, entrypoint = extension # conn.execute("SELECT load_extension(?, ?)", [path, entrypoint]) #else: conn.execute("SELECT load_extension('C:\Windows\System32\mod_spatialite.dll')") ``` At which point the counties example worked. Is there a correct way to install/use the extension on Windows? My method will cause issues if there's a second extension to be used. On an unrelated note, my next step is to figure out how to write a query across the two loaded databases supplied from the command line:
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2198/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1955676270 | I_kwDOBm6k_c50kUBu | 2201 | Discord invite link is invalid | andrewsanchez 11708906 | open | 0 | 0 | 2023-10-21T21:50:05Z | 2023-10-21T21:50:05Z | NONE | https://datasette.io/discord leads to https://discord.com/invite/ktd74dm5mw and returns the following: |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2201/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1977726056 | I_kwDOBm6k_c514bRo | 2203 | custom plugin not seen as sql function | LyzardKing 7113541 | open | 0 | 0 | 2023-11-05T10:30:19Z | 2023-11-05T10:30:19Z | NONE | Hi, I'm not sure if this is the right repo for this issue. I'm using datasette with the parquet (to read a duckdb), and jellyfish plugins. Both work perfectly. Now I need to create a simple plugin that uses the python rouge package and returns a similarity score (similarly to how the jellyfish plugin works).
If I create a custom plugin, even the example hello_world one, copied directly from the tutorial, I get the following error:
Since the jellyfish plugin doesn't do anything more complex, I'm wondering if there is some other kind of issue with my setup. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2203/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1994845152 | I_kwDOBm6k_c525uvg | 2207 | ModuleNotFoundError: No module named 'click_default_group | honzajavorek 283441 | open | 0 | 0 | 2023-11-15T14:04:32Z | 2023-11-15T14:04:32Z | NONE | No matter what I do, I'm getting this error:
I have datasette in my dependencies like this:
I had the latest regular version (not pre-release) there originally, but the result was the same:
Full pyproject.toml is at https://github.com/honzajavorek/junior.guru/ Previously datasette worked for me, but I guess something had to upgrade and now I can't even launch it. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2207/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
2019811176 | I_kwDOBm6k_c54Y99o | 2211 | Unreachable exception handlers for `sqlite3.OperationalError` | mattparmett 1214074 | open | 0 | 0 | 2023-12-01T00:50:22Z | 2023-12-01T00:50:22Z | NONE | There are several places where Because the exception will be caught by the first handler, the logic in the second handler is unreachable and will never be executed. If this is intended behavior, the second handler can be removed. If this is not intended, and the second handler should be the one that catches this exception, then This issue was found via a CodeQL query on the repository, and I've listed the occurrences found by the query below. There may be other instances of this issue in the code that were not surfaced by the query. I'd be happy to share the query if others would like to view or run it. One example: Other instances: https://github.com/simonw/datasette/blob/main/datasette/views/base.py#L266-L270 https://github.com/simonw/datasette/blob/main/datasette/views/base.py#L452-L456 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2211/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
2023057255 | I_kwDOBm6k_c54lWdn | 2212 | Can't filter with numbers | fzakaria 605070 | open | 0 | 0 | 2023-12-04T05:26:29Z | 2023-12-04T05:26:29Z | NONE | I have a schema that uses numbers for a column (actually it's a boolean 1 or 0 but SQLite doesn't have Boolean). I can't seem to get the facet to work or even filtering on this column. My guess is that Datasette is "stringifying" the number and it's not matching? Example: https://debian-sqlelf.fly.dev/debian/elf_symbols?_sort_desc=name&_facet=exported&exported=0 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2212/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
2029908157 | I_kwDOBm6k_c54_fC9 | 2214 | CSV export fails for some `text` foreign key references | precipice 2874 | open | 0 | 1 | 2023-12-07T05:04:34Z | 2023-12-07T07:36:34Z | NONE | I'm starting this issue without a clear reproduction in case someone else has seen this behavior, and to use the issue as a notebook for research. I'm using Datasette with the SWITRS data set, which is a California Highway Patrol collection of traffic incident data from the past decade or so. I receive data from them in CSV and want to work with it in Datasette, then export it to CSV for mapping in Felt.com. Their data makes extensive use of codes for incident column data ( If I import the data and set up the integer foreign keys, everything works fine, but if I set up the text foreign keys, CSV export starts to fail. The foreign key configuration is as follows: ``` Some tables use integer ids, like sensible tables do. Let's import them firstsince we favor them.for TABLE in DAY_OF_WEEK CHP_SHIFT POPULATION SPECIAL_COND BEAT_TYPE COLLISION_SEVERITY do sqlite-utils create-table records.db $TABLE id integer name text --pk=id sqlite-utils insert records.db $TABLE lookup-tables/$TABLE.csv --csv sqlite-utils add-foreign-key records.db collisions $TABLE $TABLE id sqlite-utils create-index records.db collisions $TABLE done Other tables use letter keys, like they were raised by WOLVES. Let's put themat the end of the import queue.for TABLE in WEATHER_1 WEATHER_2 LOCATION_TYPE RAMP_INTERSECTION SIDE_OF_HWY \ PRIMARY_COLL_FACTOR PCF_CODE_OF_VIOL PCF_VIOL_CATEGORY TYPE_OF_COLLISION MVIW \ PED_ACTION ROAD_SURFACE ROAD_COND_1 ROAD_COND_2 LIGHTING CONTROL_DEVICE \ STWD_VEHTYPE_AT_FAULT CHP_VEHTYPE_AT_FAULT PRIMARY_RAMP SECONDARY_RAMP do sqlite-utils create-table records.db $TABLE key text name text --pk=key sqlite-utils insert records.db $TABLE lookup-tables/$TABLE.csv --csv sqlite-utils add-foreign-key records.db collisions $TABLE $TABLE key sqlite-utils create-index records.db collisions $TABLE done ``` You can see the full code and import script here: https://github.com/radical-bike-lobby/switrs-db If I run this code and then hit the CSV export link in the Datasette interface (the simple link or the "advanced" dialog), export fails after a small number of CSV rows are written. I am not seeing any detailed error messages but this appears in the logging output: ``` INFO: 127.0.0.1:57885 - "GET /records/collisions.csv?_facet=PRIMARY_RD&PRIMARY_RD=ASHBY+AV&_labels=on&_size=max HTTP/1.1" 200 OK Caught this error: ``` (No other output follows I've stared at the rows directly after the error occurs and can't yet see what is causing the problem. I'm going to set up a development environment and see if I get any more detailed error output, and then stare more at some problematic lines to see if I can get a simple reproduction. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2214/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
267515678 | MDU6SXNzdWUyNjc1MTU2Nzg= | 3 | Make individual column valuables addressable, with smart content types | simonw 9599 | open | 0 | 1 | 2017-10-23T01:11:32Z | 2017-12-10T03:11:58Z | OWNER | Some SQLite databases embed images in columns. It would be cool if these had URLs.
The one without an explicit file extension auto-detects the correct extension. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
268110769 | MDU6SXNzdWUyNjgxMTA3Njk= | 33 | Use locust for benchmarking and load tests | simonw 9599 | open | 0 | 0 | 2017-10-24T17:00:09Z | 2017-12-10T03:12:16Z | OWNER | https://github.com/locustio/locust Needed for #32 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/33/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
274615452 | MDU6SXNzdWUyNzQ2MTU0NTI= | 111 | Add “updated” to metadata | simonw 9599 | open | 0 | 12 | 2017-11-16T18:22:20Z | 2021-09-21T22:48:27Z | OWNER | To give an indication as to when the data was last updated. This should be a field in the metadata that is then shown on the index page and in the footer, if it is set. Also support setting it using an option to “datasette publish” and “datasette package” - which can either be a string or can be the magic string “today” to set it to today’s date:
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/111/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
275125561 | MDU6SXNzdWUyNzUxMjU1NjE= | 123 | Datasette serve should accept paths/URLs to CSVs and other file formats | simonw 9599 | open | 0 | 9 | 2017-11-19T02:05:48Z | 2021-07-19T00:04:32Z | OWNER | This would remove the csvs-to-sqlite step which I end up using for almost everything. I'm hesitant to introduce pandas as a required dependency though since it require compiling numpy. Could build it so this option is only available if you have pandas installed. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/123/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
||||||||
275159710 | MDU6SXNzdWUyNzUxNTk3MTA= | 128 | Every visualization should have an "embed" button | simonw 9599 | open | 0 | 0 | 2017-11-19T13:38:13Z | 2019-05-13T18:33:51Z | OWNER | At least for the first round of visualizations, any time you construct one using the UI the result should include an "embed this" button that returns source code to copy and paste These examples should use unpkg.com (or similarl) urls with SRI hashes, eg https://www.srihash.org - and should load data from the datasette JSON API. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/128/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
275415799 | MDU6SXNzdWUyNzU0MTU3OTk= | 137 | Ability to combine multiple SQL queries on a single graph | simonw 9599 | open | 0 | 1 | 2017-11-20T16:26:57Z | 2019-05-13T18:33:51Z | OWNER | This would make visualizations significantly more powerful. The interesting challenge will be around the URL design. It would be useful to be able to combine either multiple explicit SQL queries or multiple queries based on the filter string parameters passed to one or more table views. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/137/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
275755475 | MDU6SXNzdWUyNzU3NTU0NzU= | 140 | Heatmap visualization plugin | simonw 9599 | open | 0 | 2 | 2017-11-21T15:34:23Z | 2019-05-13T18:33:51Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/140/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||||
288438570 | MDU6SXNzdWUyODg0Mzg1NzA= | 179 | More metadata options for template authors | simonw 9599 | open | 0 | 2 | 2018-01-14T20:51:04Z | 2019-05-13T18:33:33Z | OWNER | See this thread on Twitter: https://twitter.com/simonw/status/952637152797458432 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/179/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
309047460 | MDU6SXNzdWUzMDkwNDc0NjA= | 188 | Ability to bundle metadata and templates inside the SQLite file | simonw 9599 | open | 0 | 4 | 2018-03-27T16:42:07Z | 2020-12-04T17:18:34Z | OWNER | One of the nicest qualities of SQLite as a data format is that you get a single file which you can then backup or share with other people. Datasette breaks this a little once you start including custom metadata.json or template files and CSS. It would be cool if there was an optional mechanism for baking that extra configuration into the SQLite file itself. That way entire datasette mini-applications (including canned queries and custom HTML and CSS) could be constructed as single .db files. Since datasette configuration is all file-based, one way to achieve that would be to support a "datasette_files" table which, if present is used to search for file contents by path. This is inline with the philosophy described by https://www.sqlite.org/appfileformat.html |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/188/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
312395790 | MDU6SXNzdWUzMTIzOTU3OTA= | 197 | Ability to sort by more than one column | simonw 9599 | open | 0 | 0 | 2018-04-09T05:13:30Z | 2018-07-10T17:45:37Z | OWNER | Split off from #189. I'd like to support "sort by X descending, then by Y ascending if there are dupes for X" as well. Suggested syntax for that:
we currently only allow one argument to be sent. We should allow as many arguments as there are columns, for example:
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/197/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
312396095 | MDU6SXNzdWUzMTIzOTYwOTU= | 198 | Ability to sort with nulls last | simonw 9599 | open | 0 | 0 | 2018-04-09T05:15:40Z | 2018-07-10T17:45:37Z | OWNER | Split off from #189 Here's how to do that in SQL: https://fivethirtyeight.datasettes.com/fivethirtyeight-2628db9?sql=select+rowid%2C+*+from+%5Bnfl-wide-receivers%2Fadvanced-historical%5D%0D%0Aorder+by+case+when+career_ranypa+is+null+then+1+else+0+end%2C+career_ranypa%2C+rowid
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/198/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
314771615 | MDU6SXNzdWUzMTQ3NzE2MTU= | 218 | Support custom unit display in order to handle "$10,000" | simonw 9599 | open | 0 | 0 | 2018-04-16T18:39:31Z | 2018-07-10T17:45:38Z | OWNER | I tried to get Datasette to display It would be neat if there was a mechanism for specifying a custom unit display - maybe something like this:
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/218/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
316621102 | MDU6SXNzdWUzMTY2MjExMDI= | 235 | Add limit on the size in KB of data returned from a single query | simonw 9599 | open | 0 | 2 | 2018-04-22T23:01:15Z | 2018-04-24T00:30:02Z | OWNER | Datasette limits the number of rows returned to 1,000 and limits the time spent executing a SQL query to 1000ms - and both of these limits can be customized. It does not have a limit on the size of the response returned. It's possible to compose maliciously large SQL responses in a small number of rows using mechanisms like the I think the easiest place to implement that is here: Currently we use The bigger challenge here is understanding how well this approach works and what impact it will have on overall Datasette performance. I think I need #33 for this. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/235/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
317001500 | MDU6SXNzdWUzMTcwMDE1MDA= | 236 | datasette publish lambda plugin | simonw 9599 | open | 0 | 11 | 2018-04-23T22:10:30Z | 2023-03-12T14:04:15Z | OWNER | Refs #217 - create a publish plugin that can deploy to AWS Lambda. https://docs.aws.amazon.com/lambda/latest/dg/limits.html says lambda packages can be up to 50 MB, so this would only work with smaller databases (the command can check the filesize before attempting to package and deploy it). Lambdas do get a 512 MB |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/236/reactions", "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
318490133 | MDU6SXNzdWUzMTg0OTAxMzM= | 241 | Default datasette logging format should be JSON | simonw 9599 | open | 0 | 0 | 2018-04-27T17:32:48Z | 2018-07-10T17:45:40Z | OWNER | Structured logs are better. Datasette should default to outputting it's HTTP access log lines as newline delimited JSON instead of the Sanic default format it uses at the moment. For improved greppability these logs should have keys ordered in a consistent way. Python's JSON module can do this with ordered dictionaries. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/241/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
320132682 | MDU6SXNzdWUzMjAxMzI2ODI= | 250 | Setup some issue templates | simonw 9599 | open | 0 | 0 | 2018-05-04T01:49:07Z | 2018-05-04T01:49:07Z | OWNER | https://twitter.com/left_pad/status/99216385740464537 I like the idea of using these to help people understand some of the ways I want to use issues. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/250/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
323223872 | MDU6SXNzdWUzMjMyMjM4NzI= | 260 | Validate metadata.json on startup | simonw 9599 | open | 0 | 7 | 2018-05-15T13:42:56Z | 2023-06-21T12:51:22Z | OWNER | It's easy to misspell the name of a database or table and then be puzzled when the metadata settings silently fail. To avoid this, let's sanity check the provided metadata.json on startup and quit with a useful error message if we find any obvious mistakes. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/260/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
323658641 | MDU6SXNzdWUzMjM2NTg2NDE= | 262 | Add ?_extra= mechanism for requesting extra properties in JSON | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 27 | 2018-05-16T14:55:42Z | 2023-03-29T06:22:22Z | OWNER | Datasette views currently work by creating a set of data that should be returned as JSON, then defining an additional, optional This Example of how that is used today: https://github.com/simonw/datasette/blob/2b79f2bdeb1efa86e0756e741292d625f91cb93d/datasette/views/table.py#L672-L704 With features like Facets in #255 I'm beginning to want to move more items into the But... as an API user, I want to still optionally be able to access that information. Solution: Add a Then redefine as many of the current This could allow the JSON representation to be slimmed down further (removing e.g. the |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/262/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||
323718842 | MDU6SXNzdWUzMjM3MTg4NDI= | 268 | Mechanism for ranking results from SQLite full-text search | simonw 9599 | open | 0 | 12 | 2018-05-16T17:36:40Z | 2022-01-13T22:21:28Z | OWNER | This isn't particularly straight-forward - all the more reason for Datasette to implement it for you. This article is helpful: http://charlesleifer.com/blog/using-sqlite-full-text-search-with-python/ |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/268/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
326599525 | MDU6SXNzdWUzMjY1OTk1MjU= | 286 | Database hash should include current datasette version | simonw 9599 | open | 0 | 2 | 2018-05-25T17:03:42Z | 2018-05-25T17:07:36Z | OWNER | Right now deploying a new version of datasette doesn't invalidate existing URLs, so users may still see a cached copy of the old templates. We can fix this by including the current datasette version in the input to the hash function (which currently just the database file contents). |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/286/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
326778161 | MDU6SXNzdWUzMjY3NzgxNjE= | 290 | Consider increasing the default for num_sql_threads (currently 3) | simonw 9599 | open | 0 | 0 | 2018-05-27T00:52:41Z | 2018-05-27T00:52:41Z | OWNER | I ran a very rough micro-benchmark on the new
Then
| Number of threads | Requests/second | |---|---| | 1 | 4.57 | | 3 | 9.77 | | 10 | 13.53 | | 20 | 15.24 | 50 | 8.21 | This was on my early 2018 OS X laptop. Need to benchmark in other common environments before making a decision on changing the default. That said, the default of 3 was a number I plucked out of thin air. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/290/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
327365110 | MDU6SXNzdWUzMjczNjUxMTA= | 294 | inspect should record column types | simonw 9599 | open | 0 | 7 | 2018-05-29T15:10:41Z | 2019-06-28T16:45:28Z | OWNER | For each table we want to know the columns, their order and what type they are. I'm going to break with SQLite defaults a little on this one and allow datasette to define additional types - to start with just a Possible JSON design:
Refs #276 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/294/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
327395270 | MDU6SXNzdWUzMjczOTUyNzA= | 296 | Per-database and per-table /-/ URL namespace | simonw 9599 | open | 0 | 3 | 2018-05-29T16:23:13Z | 2019-06-28T16:46:34Z | OWNER | Initially this will be for subsets of To start:
This means we will no longer allow databases or tables to have the name We will continue to support rows with a primary key of
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/296/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
328155946 | MDU6SXNzdWUzMjgxNTU5NDY= | 301 | --spatialite option for "datasette publish heroku" | simonw 9599 | open | 0 | 1 | 2018-05-31T14:13:09Z | 2022-01-20T21:28:50Z | OWNER | Split off from #243. Need to figure out how to install and configure SpatiaLite on Heroku. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/301/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
335200136 | MDU6SXNzdWUzMzUyMDAxMzY= | 327 | Explore if SquashFS can be used to shrink size of packaged Docker containers | simonw 9599 | open | 0 | 4 | 2018-06-24T18:15:16Z | 2022-02-17T23:37:24Z | OWNER | Inspired by this article: https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html#sqlite-database-indexed--squashed https://en.wikipedia.org/wiki/SquashFS is "a compressed read-only file system for Linux" - which means it could be a really nice fit for Datasette and its read-only SQLite databases. It would be interesting to explore a Dockerfile recipe that used SquashFS to compress the SQLite database file that was bundled up by |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/327/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
344654623 | MDU6SXNzdWUzNDQ2NTQ2MjM= | 347 | Rename "datasette package" to "datasette publish docker" | simonw 9599 | open | 0 | 0 | 2018-07-26T00:42:46Z | 2018-07-26T00:42:46Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/347/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||||
346026869 | MDU6SXNzdWUzNDYwMjY4Njk= | 354 | Handle many-to-many relationships | simonw 9599 | open | 0 | 0 | 2018-07-31T04:03:13Z | 2020-11-24T19:51:18Z | OWNER | This is a master tracking ticket for various many-2-many features. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/354/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
346027040 | MDU6SXNzdWUzNDYwMjcwNDA= | 355 | Table view should support filtering via many-to-many relationships | simonw 9599 | open | 0 | 10 | 2018-07-31T04:04:16Z | 2019-05-23T06:04:03Z | OWNER | Parent: #354 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/355/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
348043884 | MDU6SXNzdWUzNDgwNDM4ODQ= | 357 | Plugin hook for loading metadata.json | simonw 9599 | open | 0 | 6 | 2018-08-06T19:00:01Z | 2020-06-21T22:19:58Z | OWNER | For https://github.com/simonw/russian-ira-facebook-ads-datasette/tree/af6d956995e14afd585c35a6a06bb01da32043ba I wrote a script to convert YAML to JSON because YAML is a better format for embedding multi-line HTML descriptions and canned SQL statements. Example yaml metadata file: https://github.com/simonw/russian-ira-facebook-ads-datasette/blob/af6d956995e14afd585c35a6a06bb01da32043ba/russian-ads-metadata.yaml It would be useful if Datasette could be fed a YAML file directly:
Question is... should this be a native feature (hence adding a YAML dependency) or should it be handled by a |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/357/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
400340905 | MDU6SXNzdWU0MDAzNDA5MDU= | 402 | Use SQLITE_DBCONFIG_DEFENSIVE plus other recommendations from SQLite security docs | simonw 9599 | open | 0 | 3 | 2019-01-17T15:52:28Z | 2019-01-17T16:15:21Z | OWNER |
https://twitter.com/ignoredambience/status/1085926961413869568 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/402/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
421546944 | MDU6SXNzdWU0MjE1NDY5NDQ= | 417 | Datasette Library | simonw 9599 | open | 0 | 12 | 2019-03-15T14:30:22Z | 2020-12-29T14:34:50Z | OWNER | The ability to run Datasette in a mode where it automatically picks up new (or modified) files in a directory tree without needing to restart the server. Suggested command:
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/417/reactions", "total_count": 8, "+1": 8, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
426722204 | MDU6SXNzdWU0MjY3MjIyMDQ= | 423 | ?_search_col=X not reflected correctly in the UI | simonw 9599 | open | 0 | 0 | 2019-03-28T21:48:19Z | 2020-11-03T19:01:59Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/423/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||||
443021509 | MDU6SXNzdWU0NDMwMjE1MDk= | 461 | Paginate + search for databases/tables on the homepage | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 4 | 2019-05-11T18:05:34Z | 2020-12-17T22:14:46Z | OWNER | Split out from #460 - in order to support large numbers of connected databases the homepage needs to be paginated. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/461/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||
447408527 | MDU6SXNzdWU0NDc0MDg1Mjc= | 483 | Option to facet by date using month or year | simonw 9599 | open | 0 | 5 | 2019-05-23T01:25:29Z | 2019-05-29T21:38:27Z | OWNER | Facet by date (from #481) can take datetimes and facet them by the day component. https://latest.datasette.io/fixtures/facetable?_facet_date=created I'd like to also be able to facet by month or year. I'm not sure what the best way to achieve this is. Could be two more Facet classes (YearFacet and MonthFacet) but I think it might be nicer if the existing DateFacet could take an optional argument that changed its behaviour. But... if I do that, do I expose it in the UI somewhere or is it only available to URL-hackers? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/483/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
447451492 | MDU6SXNzdWU0NDc0NTE0OTI= | 484 | Mechanism for displaying summary of m2m relationships in rows on table view | simonw 9599 | open | 0 | 1 | 2019-05-23T05:02:41Z | 2019-05-23T06:34:05Z | OWNER | Part of #354 (m2m support) It would be fantastic if rows that are part of a m2m relationship could display it in an additional column in the table view. It might look something like this: https://russian-ira-facebook-ads.datasettes.com/russian-ads-919cbfd/display_ads?_search=black+lives+matter That example was achieved using a custom SQL query and datasette-json-html - but I'd like this to be a built-in feature instead. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/484/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
447469253 | MDU6SXNzdWU0NDc0NjkyNTM= | 485 | Improvements to table label detection | simonw 9599 | open | 0 | simonw 9599 | 10 | 2019-05-23T06:19:49Z | 2022-10-03T00:04:42Z | OWNER | Label detection doesn't work if the primary key is called pk rather than id, so this page doesn't work: https://latest.datasette.io/fixtures/roadside_attraction_characteristics Code is here: |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/485/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||
449445715 | MDU6SXNzdWU0NDk0NDU3MTU= | 491 | Figure out how to use Firebase with cloudrun to enable vanity URLs and CDN caching | simonw 9599 | open | 0 | 0 | 2019-05-28T19:48:06Z | 2019-05-28T19:48:35Z | OWNER | It looks like Firebase can solve a couple of problems with the existing
https://firebase.google.com/docs/hosting/cloud-run looks like it can help with both of these. Lots of interesting questions:
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/491/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
450032134 | MDU6SXNzdWU0NTAwMzIxMzQ= | 495 | facet_m2m gets confused by multiple relationships | simonw 9599 | open | 0 | 2 | 2019-05-29T21:37:28Z | 2020-12-17T05:08:22Z | OWNER | I got this for a database I was playing with: I think this is because of these three tables: |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/495/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
455852801 | MDU6SXNzdWU0NTU4NTI4MDE= | 507 | Every datasette plugin on the ecosystem page should have a screenshot | simonw 9599 | open | 0 | 4 | 2019-06-13T17:02:51Z | 2020-09-17T02:47:35Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/507/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [pull_request] TEXT, [body] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT , [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);