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id | node_id | number | title | user ▲ | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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1579695809 | I_kwDOBm6k_c5eKD7B | 2023 | Error: Invalid setting 'hash_urls' in settings.json in 0.64.1 | mlaparie 80409402 | closed | 0 | 2 | 2023-02-10T13:35:01Z | 2023-02-10T15:40:00Z | 2023-02-10T15:39:59Z | NONE | On a Debian machine, using datasette 0.64.1 installed with This is my
This looks ok to me. Would you have any ideas? |
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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'``` |
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989109888 | MDU6SXNzdWU5ODkxMDk4ODg= | 1460 | Override column metadata with metadata from another column | MichaelTiemannOSC 72577720 | open | 0 | 0 | 2021-09-06T12:13:33Z | 2021-09-06T12:13:33Z | CONTRIBUTOR | I have a table from the PUDL project (https://github.com/catalyst-cooperative/pudl) that looks like this:
Note that @catalyst-cooperative |
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994390593 | MDU6SXNzdWU5OTQzOTA1OTM= | 1468 | Faceting for custom SQL queries | MichaelTiemannOSC 72577720 | closed | 0 | 2 | 2021-09-13T02:52:16Z | 2021-09-13T04:54:22Z | 2021-09-13T04:54:17Z | CONTRIBUTOR | Facets are awesome. But not when I need to join to tidy tables together. Or even just running explicitly the default SQL query that simply lists all the rows and columns of a table (up to SIZE). That is to say, when I browse a table, I see facets: https://latest.datasette.io/fixtures/compound_three_primary_keys But when I run a custom query, I don't: Is there an idiom to cause custom SQL to come back with facet suggestions? |
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1388631785 | I_kwDOBm6k_c5SxNbp | 1826 | render_cell documentation example doesn't match the method signature | pjamargh 66709385 | closed | 0 | 3 | 2022-09-28T02:37:59Z | 2022-09-28T04:30:28Z | 2022-09-28T04:05:16Z | NONE | Open Datasette stable doc at https://docs.datasette.io/en/stable/plugin_hooks.html?highlight=render_cell#render-cell-row-value-column-table-database-datasette render_cell plugin hook method signature is |
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568091133 | MDU6SXNzdWU1NjgwOTExMzM= | 676 | ?_searchmode=raw option for running FTS searches without escaping characters | tunguyenatwork 58088336 | closed | 0 | 9 | 2020-02-20T06:56:57Z | 2020-02-25T05:57:24Z | 2020-02-25T05:56:04Z | NONE | After the version 0.34. I am not able to use the wildchar in the _search option( or the full text search). It will not return any result unless I specify the whole word for text search. If I use 'match :search || "*" ' in the sql statement then it will work as expected. |
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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 |
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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. |
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551834842 | MDU6SXNzdWU1NTE4MzQ4NDI= | 659 | README information is obscured by feature history | labstersteve 55480210 | closed | 0 | 1 | 2020-01-18T22:34:51Z | 2020-12-10T23:28:51Z | 2020-12-10T23:28:51Z | NONE | While it's sometimes valuable to know how a project has developed, there is usually little justification for including this information in the README, and certainly not immediately after other key information such as "what does this package do, and who might want to use it?" Might I recommend that the feature history is migrated to an Appendix in the documentation? |
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476852861 | MDU6SXNzdWU0NzY4NTI4NjE= | 568 | Add database_color as a configurable option | LBHELewis 50906992 | open | 0 | 1 | 2019-08-05T13:14:45Z | 2023-08-11T05:19:42Z | NONE | This would be really useful as it would allow us to tie in with colour schemes. |
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459882902 | MDU6SXNzdWU0NTk4ODI5MDI= | 526 | Stream all results for arbitrary SQL and canned queries | matej-fr 50578294 | open | 0 | 23 | 2019-06-24T13:09:45Z | 2022-09-28T04:01:25Z | NONE | I think that there is a difficulty with canned queries. When I want to stream all results of a canned query TwoDays I get only first 1.000 records. Example:
returns only first 1.000 records. If I do the same with the whole database i.e.
I get correctly all records. Any ideas? |
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1076057610 | I_kwDOBm6k_c5AI1YK | 1546 | validating the sql | jadsongmatos 50336793 | closed | 0 | 1 | 2021-12-09T21:35:57Z | 2021-12-18T02:05:17Z | 2021-12-18T02:05:16Z | NONE | Could someone tell me that part of the code is responsible for validating the sql that guarantees that only a table can be read |
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518506242 | MDU6SXNzdWU1MTg1MDYyNDI= | 616 | Datasette FTS detection bug | null92 49656826 | closed | 0 | 2 | 2019-11-06T14:25:47Z | 2019-11-08T15:31:33Z | 2019-11-08T02:06:56Z | NONE | I'm having a trouble with datasette. I deployed EXACTLY the same project on two different apps on Heroku. Both have databases (not all) with FTS activated but only one detects and works fine. You can take a look here: With search: http://teste-templates.herokuapp.com/amazonia_protege/car Without search: http://bases.vortex.media/amazonia_protege/car |
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550293770 | MDU6SXNzdWU1NTAyOTM3NzA= | 658 | How do I use the app.css as style sheet? | null92 49656826 | open | 0 | 2 | 2020-01-15T16:27:57Z | 2020-02-07T00:29:50Z | NONE | Simon, I'm trying to use the app.css (in static folder) as style sheet but the datasette on Heroku simply ignore it! I read everything about customization here and on readthedocs but still can't. Is this possible? Thanks! |
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1023243105 | I_kwDOBm6k_c48_XNh | 1486 | pipx installation instructions for plugins don't reference pipx inject | RhetTbull 41546558 | closed | 0 | 0 | 2021-10-12T00:43:42Z | 2021-10-13T21:09:11Z | 2021-10-13T21:09:11Z | CONTRIBUTOR | The datasette installation instructions discuss how to install with pipx, how to upgrade with pipx, and how to upgrade plugins with pipx but do not mention how to install a plugin with pipx. You discussed this on your blog but looks like this didn't make it in when you updated the docs for pipx (#756). I'll submit a PR shortly to fix this. |
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735852274 | MDU6SXNzdWU3MzU4NTIyNzQ= | 1082 | DigitalOcean buildpack memory errors for large sqlite db? | justmars 39538958 | open | 0 | 3 | 2020-11-04T06:35:32Z | 2020-11-04T19:35:44Z | NONE |
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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. |
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418329842 | MDU6SXNzdWU0MTgzMjk4NDI= | 415 | Add query parameter to hide SQL textarea | ad-si 36796532 | closed | 0 | 3 | 2019-03-07T14:11:30Z | 2019-03-15T09:30:57Z | 2019-03-15T05:22:43Z | NONE | It would be cool if there was a query parameter to hide / remove the SQL textarea. Then I could simply save a bookmark for a certain query and open it to see the data without having to scroll below the (long) SQL query first. |
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1838266862 | I_kwDOBm6k_c5tkbnu | 2126 | Permissions in metadata.yml / metadata.json | ctsrc 36199671 | closed | 0 | 3 | 2023-08-06T16:24:10Z | 2023-08-11T05:52:30Z | 2023-08-11T05:52:29Z | NONE | https://docs.datasette.io/en/latest/authentication.html#other-permissions-in-metadata says the following:
I tried this. My
And then I run
And I open a session for the "root" user of datasette with the link given. I open a private browser session and log in as "myuser" from http://127.0.0.1:8001/-/login Then I check http://127.0.0.1:8001/-/actor which confirms that I am logged in as the "myuser" actor
In the session where I am logged in as "myuser" I then try to go to http://127.0.0.1:8001/-/permissions But all I get there as the logged in user "myuser" is
And then if I check the http://127.0.0.1:8001/-/permissions as the datasette "root" user from another browser session, I see:
It seems that in spite of having tried to give the What do I need to do differently so that my "myuser" user is able to access http://127.0.0.1:8001/-/permissions ? |
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343728754 | MDU6SXNzdWUzNDM3Mjg3NTQ= | 346 | Logo design for DATASETTE | ggabogarcia 35750428 | closed | 0 | 0 | 2018-07-23T17:40:17Z | 2018-08-02T02:31:59Z | 2018-08-02T02:31:59Z | NONE | Hello :) , I'm a graphic designer, I'm interested in collaborating with open source projects, besides this helps me expand my portfolio. I would like to design a logo for your project. I will be happy to collaborate with you :). |
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1496652622 | I_kwDOBm6k_c5ZNRtO | 1955 | invoke_startup() is not run in some conditions, e.g. gunicorn/uvicorn workers, breaking lots of things | Rik-de-Kort 32839123 | closed | 0 | 36 | 2022-12-14T13:39:56Z | 2022-12-19T04:34:16Z | 2022-12-18T02:45:18Z | NONE | In the past (pre-september 14, #1809) I had a running deployment of Datasette on Azure WebApps by emulating the call in cli.py to Gunicorn: My most recent deployment, however, fails loudly by shouting that One additional option is:
* Use Gunicorn's server hooks to call In my current deployment setup, it does not appear to be possible to use Questions for the maintainers: * Is this intended behaviour/will not support/etc.? If so, I'd be happy to add a PR with a couple lines in the documentation. * if this is not intended behaviour, what is a good way to fix it? I could have a go at the ASGI spec thing (I think the Azure Functions thing is related) and provide a PR with the wrapper here, but I'm all ears! Almost forgot, minimal reproducer: ```python from datasette import Datasette ds = Datasette(files=['./global-power-plants.db'])] app = ds.app() ``` Save as app.py in the same folder as global-power-plants.db, and then try running
Opening the resulting Datasette instance in the browser will show the error message. |
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1170497629 | I_kwDOBm6k_c5FxGBd | 1662 | [feature request] Publish to fully static website | contrun 32609395 | closed | 0 | 1 | 2022-03-16T03:32:28Z | 2022-03-19T00:42:23Z | 2022-03-19T00:42:23Z | NONE | It seems currently all datasette publish requires a real backend server which is able to query the database and send results back to the frontend. There are a few projects to on-demand download a portion of data from the database from a sqlite lite database url, and present it directly to the user. These methods leverages web assembly under the hood. I think datasette is a perfect use case for this technology. Below are a few examples of querying sqlite database from frontend directly. |
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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 ``` |
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1435917503 | I_kwDOBm6k_c5Vlly_ | 1883 | Errors when using table filters behind a proxy | mattmalcher 31312775 | closed | 0 | 13 | 2022-11-04T11:18:47Z | 2022-11-11T09:20:22Z | 2022-11-11T06:54:58Z | NONE | Using datasette==0.63 table filters do not respect the To reproduce, go to: https://datasette-apache-proxy-demo.datasette.io/prefix/fixtures/binary_data Then use the table filter buttons.
The |
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708185405 | MDU6SXNzdWU3MDgxODU0MDU= | 975 | Dependabot couldn't authenticate with https://pypi.python.org/simple/ | dependabot-preview[bot] 27856297 | closed | 0 | 0 | 2020-09-24T13:44:40Z | 2020-09-25T13:34:34Z | 2020-09-25T13:34:34Z | CONTRIBUTOR | Dependabot couldn't authenticate with https://pypi.python.org/simple/. You can provide authentication details in your Dependabot dashboard by clicking into the account menu (in the top right) and selecting 'Config variables'. |
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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. |
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925406964 | MDU6SXNzdWU5MjU0MDY5NjQ= | 1382 | Datasette with Glitch - is it possible to use CSV with ISO-8859-1 encoding? | reichaves 23701514 | closed | 0 | 1 | 2021-06-19T14:37:20Z | 2021-06-20T00:21:02Z | 2021-06-20T00:20:06Z | NONE | Hi Please, I used Remix on Glitch to create a project on Glitch and uploaded a CSV But it's a CSV with ISO-8859-1 encoding (https://en.wikipedia.org/wiki/ISO/IEC_8859-1) Is it possible for me to change the encoding to correctly visualize the data? Example: https://emphasized-carpal-pillow.glitch.me/data/Emendas Best |
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892457208 | MDU6SXNzdWU4OTI0NTcyMDg= | 1327 | Support Unicode characters in metadata.json | GmGniap 20846286 | closed | 0 | 2 | 2021-05-15T14:33:58Z | 2021-05-24T19:10:21Z | 2021-05-24T19:10:21Z | NONE | Hello , when I used Burmese (Unicode) characters in metadata.json like below - It gave wrong results when I run datasette - It would be great & helpful for us if metadata.json can support in Unicode supported Asian Languages. Thanks & Regards. |
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995098231 | MDU6SXNzdWU5OTUwOTgyMzE= | 1470 | ?_sort=rowid with _next= returns error | eigenfoo 19851673 | closed | 0 | 4 | 2021-09-13T16:36:15Z | 2021-10-18T19:30:15Z | 2021-10-10T01:15:03Z | NONE | For example:
This is because the search URL includes the The FTS search request should strip any
|
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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 |
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1594383280 | I_kwDOBm6k_c5fCFuw | 2030 | How to use Datasette with apache webserver on GCP? | gk7279 19700859 | closed | 0 | 2 | 2023-02-22T03:08:49Z | 2023-02-22T21:54:39Z | 2023-02-22T21:54:39Z | NONE | Hi Simon and Datasette team- I have installed apache2 webserver inside GCP VM using apt. I can see my "Hello World" index.html if I use the external IP of this GCP in a browser. However, when I try to run datasette with different combinations of -h and -p, I am still unable to access the webpage. I cannot invest Docker on this VM. Any pointers to use datasette with already existing apache2 webserver on GCP is appreciated. Thanks. |
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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... |
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834602299 | MDU6SXNzdWU4MzQ2MDIyOTk= | 1262 | Plugin hook that could support 'order by random()' for table view | henry501 19328961 | open | 0 | 3 | 2021-03-18T10:02:01Z | 2021-03-18T17:55:01Z | NONE | I am frequently using Datasette to quickly get a visual impression for a table without reviewing it in its entirety. Because I have some groups of similar records, the default sorting options mean that each page is very similar and not representative of the full dataset. The current interface allows sorting by columns, but random sorting is only available via custom SQL. Maybe this could be a button or link. |
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531502365 | MDU6SXNzdWU1MzE1MDIzNjU= | 646 | Make database level information from metadata.json available in the index.html template | lagolucas 18017473 | open | 0 | Datasette 1.0 3268330 | 3 | 2019-12-02T19:55:10Z | 2022-03-15T20:50:34Z | NONE | Did a search on the issues here and didn't find anything related to what I want. I want to have information that is on the database level of the JSON like title, source and source_url, and use it on the index page. I tried some small tweaks on the python and html files, but failed to get that result. Is there a way? Thanks! |
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823035080 | MDU6SXNzdWU4MjMwMzUwODA= | 1248 | duckdb database (very low performance in SQLite) | verajosemanuel 15836677 | closed | 0 | 1 | 2021-03-05T12:20:29Z | 2021-03-08T00:25:27Z | 2021-03-08T00:25:27Z | NONE | My sqlite is getting too big to be processed by datasette (more than 10 minutes waiting to load) so I am working with duckdb and is waaaaay faster. I think the fastest embeddable database actually. Taking into account DuckDb is SQLite based it would be GREAT to use it with datasette. is that possible? Regards and thanks for a superb job |
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824750134 | MDU6SXNzdWU4MjQ3NTAxMzQ= | 1251 | facet option not appearing when table is big | verajosemanuel 15836677 | open | 0 | 0 | 2021-03-08T16:54:04Z | 2021-03-08T16:54:16Z | NONE | I have a big table with more than 500.000 rows. Trying to facet by one of my columns, the options are not available as for the other smaller tables. I have tried to set it in URL as:
to no avail. is there any limit? how can I force the option "facet" to appear for big tables? |
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1157182254 | I_kwDOBm6k_c5E-TMu | 1646 | Configuration directory mode does not pick up other file extensions than .db | dnsos 15640196 | closed | 0 | 3 | 2022-03-02T13:15:23Z | 2022-10-07T23:06:17Z | 2022-10-07T23:03:35Z | NONE | Hello, I've been trying to run Datasette with the configuration directory mode with a structure such as this one:
(In my scenario I can't just change the filename extension without other problems arising) Now databases with the |
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751195017 | MDU6SXNzdWU3NTExOTUwMTc= | 1111 | Accessing a database's `.json` is slow for very large SQLite files | asg017 15178711 | open | 0 | 3 | 2020-11-26T00:27:27Z | 2021-01-04T19:57:53Z | CONTRIBUTOR | I have a SQLite DB that's pretty large, 23GB and something like 300 million rows. I expect that most queries I run on it will be slow, which is fine, but there are some things that Datasette does that makes working with the DB very slow. Specifically, when I access the
I suspect this is because a ```bash $ time sqlite3 out.db < <(echo "select count(*) from PageviewsHour;") 362794272 real 0m44.523s user 0m2.497s sys 0m6.703s ``` I'm using the
More than happy to debug further, or send a PR if you like one of the proposals above! |
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1060631257 | I_kwDOBm6k_c4_N_LZ | 1528 | Add new `"sql_file"` key to Canned Queries in metadata? | asg017 15178711 | open | 0 | 3 | 2021-11-22T21:58:01Z | 2022-06-10T03:23:08Z | CONTRIBUTOR | Currently for canned queries, you have to inline SQL in your
This works fine, but for a few reasons, I usually have my canned queries already written in separate So, I'd like to see a new
Both of these would work in the exact same way, where Datasette would instead open + include A few reasons why I'd like to keep my canned queries SQL separate from metadata.yaml:
Let me know if this is a feature you'd like to see, I can try to send up a PR if this sounds right! |
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1339663518 | I_kwDOBm6k_c5P2aSe | 1784 | Include "entrypoint" option on `--load-extension`? | asg017 15178711 | closed | 0 | 2 | 2022-08-16T00:22:57Z | 2022-08-23T18:34:31Z | 2022-08-23T18:34:31Z | CONTRIBUTOR | ProblemSQLite extensions have the option to define multiple "entrypoints" in each loadable extension. For example, the upcoming version of (Similar multiple entrypoints will also be added for sqlite-http). The ProposalI want there to be a new command line option of the Then, under the hood, this line of code: Would look something like this:
One potential problem: For backward compatibility, I'm not sure if Click allows cli flags to have variable number of options ("arity"). So I guess it could also use a
Or maybe even a new flag name?
Personally I prefer the
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1620515757 | I_kwDOBm6k_c5glxut | 2039 | Subtle bug with `--load-extension` and `--static` flags with absolute Windows paths with`C:\` | asg017 15178711 | open | 0 | 0 | 2023-03-12T21:18:52Z | 2023-03-12T21:18:52Z | CONTRIBUTOR | From the Datasette discord: A user tried running the following command on windows:
This is hard because most absolute windows paths have a colon in them, like The "solution" is to use a relative path instead, but that doesn't feel that great. |
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1781530343 | I_kwDOBm6k_c5qL_7n | 2093 | Proposal: Combine settings, metadata, static, etc. into a single `datasette.yaml` File | asg017 15178711 | open | 0 | 8 | 2023-06-29T21:18:23Z | 2023-09-11T20:19:32Z | CONTRIBUTOR | Very often I get tripped up when trying to configure my Datasette instances. For example: if I want to change the port my app listen too, do I do that with a CLI flag, a Normally I need to look it up in Datasette docs, and I quickly find my answer, but the number of places where "config" goes it overwhelming.
Typically my Datasette deploys are extremely long shell commands, with multiple Proposal: Consolidate all "config" into
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1783304750 | I_kwDOBm6k_c5qSxIu | 2094 | JS Plugin Hooks for the Code Editor | asg017 15178711 | open | 0 | 0 | 2023-07-01T00:51:57Z | 2023-07-01T00:51:57Z | CONTRIBUTOR | When #2052 merges, I'd like to add support to add extensions/functions to the Datasette code editor. I'd eventually like to build a JS plugin for
I did some hacking to see what this would look like, see here:
There can be a new hook that allows JS plugins to add new "extension" in the CodeMirror editorview here: Will need some more planning. For example, the Codemirror bundle in Datasette has functions that we could re-export for plugins to use (so we don't load 2 version of |
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1855885427 | I_kwDOBm6k_c5unpBz | 2143 | De-tangling Metadata before Datasette 1.0 | asg017 15178711 | open | 0 | 24 | 2023-08-18T00:51:50Z | 2023-08-24T18:28:27Z | CONTRIBUTOR | Metadata in Datasette is a really powerful feature, but is a bit difficult to work with. It was initially a way to add "metadata" about your "data" in Datasette instances, like descriptions for databases/tables/columns, titles, source URLs, licenses, etc. But it later became the go-to spot for other Datasette features that have nothing to do with metadata, like permissions/plugins/canned queries. Specifically, I've found the following problems when working with Datasette metadata:
Possible solutionsHere's a few ideas of Datasette core changes we can make to address these problems. Re-vamp the Datasette Python metadata APIsThe Datasette object has a single The (I'm a bit fuzzy on what to actually do here, but I imagine it'll be very small breaking changes to a few Python methods) Add an optional
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1865869205 | I_kwDOBm6k_c5vNueV | 2157 | Proposal: Make the `_internal` database persistent, customizable, and hidden | asg017 15178711 | open | 0 | 3 | 2023-08-24T20:54:29Z | 2023-08-31T02:45:56Z | CONTRIBUTOR | The current The current
Additionally, it would be really nice if plugins could use this
In general, these are specific features that Datasette plugins would have access to if there was a central internal database they could read/write to:
Proposal
New features unlocked with thisThese features don't really need a standardized
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1900026059 | I_kwDOBm6k_c5xQBjL | 2188 | Plugin Hooks for "compile to SQL" languages | asg017 15178711 | open | 0 | 2 | 2023-09-18T01:37:15Z | 2023-09-18T06:58:53Z | CONTRIBUTOR | There's a ton of tools/languages that compile to SQL, which may be nice in Datasette. Some examples:
It would be cool if plugins could extend Datasette to use these languages, in both the code editor and API usage. A few things I'd imagine a
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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? (´。_。`) |
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274160723 | MDU6SXNzdWUyNzQxNjA3MjM= | 100 | TemplateAssertionError: no filter named 'tojson' | coisnepe 13304454 | closed | 0 | 2 | 2017-11-15T13:43:41Z | 2017-11-16T09:25:10Z | 2017-11-16T00:14:13Z | NONE | A 500 error is raised upon clicking on the name of a table on the homepage, say http://0.0.0.0:8001/ to http://0.0.0.0:8001/test_check-c1f4771/users The API part seems to function as intended, though... ``` 2017-11-15 14:33:57 - (sanic)[ERROR]: Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/sanic/app.py", line 503, in handle_request response = await response File "/usr/local/lib/python3.5/dist-packages/datasette/app.py", line 155, in get return await self.view_get(request, name, hash, kwargs) File "/usr/local/lib/python3.5/dist-packages/datasette/app.py", line 219, in view_get context, File "/usr/local/lib/python3.5/dist-packages/sanic_jinja2/init.py", line 84, in render return html(self.render_string(template, request, context)) File "/usr/local/lib/python3.5/dist-packages/sanic_jinja2/init.py", line 81, in render_string return self.env.get_template(template).render(context) File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 812, in get_template return self._load_template(name, self.make_globals(globals)) File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 786, in _load_template template = self.loader.load(self, name, globals) File "/usr/lib/python3/dist-packages/jinja2/loaders.py", line 125, in load code = environment.compile(source, name, filename) File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 565, in compile self.handle_exception(exc_info, source_hint=source_hint) File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 754, in handle_exception reraise(exc_type, exc_value, tb) File "/usr/lib/python3/dist-packages/jinja2/_compat.py", line 37, in reraise raise value.with_traceback(tb) File "/usr/local/lib/python3.5/dist-packages/datasette/templates/table.html", line 29, in template params = {{ query.params|tojson(4) }}File "/usr/lib/python3/dist-packages/jinja2/environment.py", line 515, in _generate return generate(source, self, name, filename, defer_init=defer_init) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 62, in generate generator.visit(node) File "/usr/lib/python3/dist-packages/jinja2/visitor.py", line 38, in visit return f(node, args, kwargs) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 849, in visit_Template self.blockvisit(block.body, block_frame) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 492, in blockvisit self.visit(node, frame) File "/usr/lib/python3/dist-packages/jinja2/visitor.py", line 38, in visit return f(node, args, kwargs) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 1172, in visit_If self.blockvisit(node.body, if_frame) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 492, in blockvisit self.visit(node, frame) File "/usr/lib/python3/dist-packages/jinja2/visitor.py", line 38, in visit return f(node, *args, kwargs) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 1353, in visit_Output self.visit(argument, frame) File "/usr/lib/python3/dist-packages/jinja2/visitor.py", line 38, in visit return f(node, args, *kwargs) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 1565, in visit_Filter self.fail('no filter named %r' % node.name, node.lineno) File "/usr/lib/python3/dist-packages/jinja2/compiler.py", line 427, in fail raise TemplateAssertionError(msg, lineno, self.name, self.filename) jinja2.exceptions.TemplateAssertionError: no filter named 'tojson' 2017-11-15 14:33:57 - (network)[INFO][127.0.0.1:41316]: GET http://0.0.0.0:8001/test_check-c1f4771/users 500 144 2017-11-15 14:33:57 - (network)[INFO][127.0.0.1:41316]: GET http://0.0.0.0:8001/favicon.ico 200 0 ``` |
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334190959 | MDU6SXNzdWUzMzQxOTA5NTk= | 321 | Wildcard support in query parameters | bsilverm 12617395 | closed | 0 | 0.23.1 3439337 | 8 | 2018-06-20T18:03:56Z | 2018-06-21T17:00:10Z | 2018-06-21T04:55:26Z | NONE | I haven't found a way to get the wildcard (%) inserted automatically in to a query parameter. This would be useful for cases the query parameter is followed by a LIKE clause. Wrapping the parameter name using the wildcard character within the metadata file (ie - ...where xyz like %:querystring%) does not seem to work. Can this be made possible? Or if not, can the template be extended to provide a tip to the user that they need to insert the wildcard characters themselves? |
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340396247 | MDU6SXNzdWUzNDAzOTYyNDc= | 339 | Expose SANIC_RESPONSE_TIMEOUT config option in a sensible way | bsilverm 12617395 | closed | 0 | 4 | 2018-07-11T20:38:06Z | 2022-03-21T22:22:40Z | 2022-03-21T22:22:34Z | NONE | Is it possible to configure the sql_time_limit_ms beyond 60 seconds? It seems queries are still timing out at 60 seconds when sql_time_limit_ms is set to 180000. We have a very large data set and often encounter timeouts when testing new queries from the datasette UI. We are optimizing our database as much as we can, but still may require more than 60 seconds for complex queries. |
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341123355 | MDU6SXNzdWUzNDExMjMzNTU= | 342 | Requesting support for query description | bsilverm 12617395 | closed | 0 | 4 | 2018-07-13T18:50:16Z | 2018-07-24T04:53:21Z | 2018-07-16T02:33:54Z | NONE | It would be great if the metadata file allowed you to enter a description for the query. We have a lot of pre-defined queries that can only be so descriptive by their name. It would be nice if an optional description could be included underneath the name within the UI, or on hover where it currently shows the SQL. |
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505512251 | MDU6SXNzdWU1MDU1MTIyNTE= | 588 | Queries per DB table in metadata.json | bsilverm 12617395 | closed | 0 | 3 | 2019-10-10T21:08:19Z | 2019-10-21T12:58:22Z | 2019-10-21T01:48:42Z | NONE | It doesn't appear possible to have separate queries defined per database table. When I do something like below, my table descriptions show up but not the queries:
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510076368 | MDU6SXNzdWU1MTAwNzYzNjg= | 605 | Support queries at the table level | bsilverm 12617395 | open | 0 | 2 | 2019-10-21T15:58:30Z | 2019-10-30T18:55:37Z | NONE | Per the issue described in issue #588, it was determined queries are not supported at the table level. Per my last comment in the issue, I'd like to request support for this as it would help eliminate errors in the event certain tables are not present in the database. |
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319449852 | MDU6SXNzdWUzMTk0NDk4NTI= | 247 | SQLite code decoupled from Datasette | jsancho-gpl 11912854 | open | 0 | 1 | 2018-05-02T08:03:28Z | 2018-05-21T15:29:31Z | NONE | I'm working on the possibility of use Datasette with other file formats that aren't SQLite, like files with PyTables format. In order to accomplish that, I've started a fork for decoupling the code related with SQLite and putting it in an external connector to allow future connectors for a lot of file formats. It'd be nice if you could look at it and suggest improvements for a possible PR. |
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309033998 | MDU6SXNzdWUzMDkwMzM5OTg= | 187 | Windows installation error | robmarkcole 11855322 | closed | 0 | 7 | 2018-03-27T16:04:37Z | 2019-06-15T21:44:23Z | 2019-06-15T21:44:23Z | NONE | On attempting install on a Win 7 PC with py 3.6.2 (Anaconda dist) I get the error:
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803356942 | MDU6SXNzdWU4MDMzNTY5NDI= | 1218 | /usr/local/opt/python3/bin/python3.6: bad interpreter: No such file or directory | robmarkcole 11855322 | open | 0 | 1 | 2021-02-08T09:07:00Z | 2021-02-23T12:12:17Z | NONE | Error as above, however I do have python3.8 and the readme indicates this is supported. ``` (venv) (base) Robins-MacBook:datasette robin$ ls /usr/local/opt/python3/bin/ .. pip3 python3 python3.8 ``` |
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795367402 | MDU6SXNzdWU3OTUzNjc0MDI= | 1209 | v0.54 500 error from sql query in custom template; code worked in v0.53; found a workaround | jrdmb 11788561 | open | 0 | 1 | 2021-01-27T19:08:13Z | 2021-01-28T23:00:27Z | NONE | v0.54 500 error in sql query template; code worked in v0.53; found a workaround schema: Live example of correctly rendered template in v.053: https://cosmotalks-cy6xkkbezq-uw.a.run.app/cosmotalks/talks/1 Description of problem: I needed 'sql select' code in a custom row-mydatabase-mytable.html template to lookup the series name for a foreign key integer value in the talks table. So The code below worked perfectly in v0.53 (just the relevant sql statement part is shown; full code is here):
In v0.54, that code resulted in a 500 error with a 'no such table series' message. A second query in that template also did not work but the above is fully illustrative of the problem. All templates were up-to-date along with datasette v0.54. Workaround: After fiddling around with trying different things, what worked was the syntax from Querying a different database from the datasette-template-sql github repo to add the database name to the sql statement:
Though this was found to work, it should not be necessary to add |
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1497909798 | I_kwDOBm6k_c5ZSEom | 1958 | datasette --root running in Docker doesn't reliably show the magic URL | davidhaley 11729897 | closed | 0 | 11 | 2022-12-13T16:29:13Z | 2022-12-16T00:59:12Z | 2022-12-16T00:55:19Z | NONE | I followed these steps:
Visited: http://127.0.0.1:8001/-/plugins Visited: http://localhost:8001/-/upload-csvs I may have missed a step? Thank you. Ubuntu 22.04.1 LTS |
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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: |
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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
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398559195 | MDU6SXNzdWUzOTg1NTkxOTU= | 400 | datasette publish cloudrun plugin | rprimet 10352819 | closed | 0 | 1 | 2019-01-12T14:35:11Z | 2019-05-03T16:57:35Z | 2019-05-03T16:57:35Z | CONTRIBUTOR | Google announced that they may launch a simple service for running Docker containers (previously serverless containers, now called "cloud run" -- link to alpha here). If/when this happens, it might be a good fit for publishing datasettes? (at least using the current version, manually publishing a datasette seems relatively painless). |
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471292050 | MDU6SXNzdWU0NzEyOTIwNTA= | 563 | incorrect json url for row-level data? | rprimet 10352819 | closed | 0 | 0 | 2019-07-22T19:59:38Z | 2019-10-21T02:03:09Z | 2019-10-21T02:03:09Z | CONTRIBUTOR | While visiting this example page (linked from Datasette documentation), manually clicking on the link ("This data as .json") to the json data results in an error 500 The JSON page linked to from the documentation however is correct (the page address ends in This particular datasette demo page is now a few versions behind, but I was able to reproduce the issue using v0.29.2 and a downloaded copy of the demo database (and also with the current HEAD). Here is a stack trace: ``` Traceback (most recent call last): File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/utils/asgi.py", line 101, in call return await view(new_scope, receive, send) File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/utils/asgi.py", line 173, in view request, scope["url_route"]["kwargs"] File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/views/base.py", line 267, in get request, database, hash, correct_hash_provided, kwargs File "/home/romain/miniconda3/envs/dsbug/lib/python3.7/site-packages/datasette/views/base.py", line 399, in view_get request, database, hash, **kwargs TypeError: data() got an unexpected keyword argument 'as_format' ``` |
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826064552 | MDU6SXNzdWU4MjYwNjQ1NTI= | 1253 | Capture "Ctrl + Enter" or "⌘ + Enter" to send SQL query? | rayvoelker 9308268 | open | 0 | 1 | 2021-03-09T15:00:50Z | 2021-10-30T16:00:42Z | NONE | It appears as though "Shift + Enter" triggers the form submit action to submit SQL, but could that action be bound to the "Ctrl + Enter" or "⌘ + Enter" action? I feel like that pattern already exists in a number of similar tools and could improve usability of the editor. |
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863884805 | MDU6SXNzdWU4NjM4ODQ4MDU= | 1304 | Document how to send multiple values for "Named parameters" | rayvoelker 9308268 | open | 0 | 4 | 2021-04-21T13:19:06Z | 2021-12-08T03:23:14Z | NONE | https://docs.datasette.io/en/stable/sql_queries.html#named-parameters I thought that I had seen an example of how to do this example below, but I can't seem to find it
Or, maybe this isn't a fully supported feature. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1304/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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 } |
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1181432624 | I_kwDOBm6k_c5Gazsw | 1688 | [plugins][documentation] Is it possible to serve per-plugin static folders when writing one-off (single file) plugins? | hydrosquall 9020979 | closed | 0 | 3 | 2022-03-26T01:17:44Z | 2022-03-27T01:01:14Z | 2022-03-26T21:34:47Z | CONTRIBUTOR | I'm trying to make a small plugin that depends on static assets, by following the guide here. I made a I am trying to follow the example of Unfortunately, datasette doesn't seem to be able to find my assets. Input:
Output: I suspect this issue might go away if I move away from "one-off" plugin mode, but it's been a while since I created a new python package so I'm not sure how much work there is to go between "one off" and "packaged for PyPI". I'd like to try to avoid needing to repackage a new
Thanks for your help! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1688/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1182227211 | I_kwDOBm6k_c5Gd1sL | 1692 | [plugins][feature request]: Support additional script tag attributes when loading custom JS | hydrosquall 9020979 | open | 0 | 2 | 2022-03-27T01:16:03Z | 2022-03-30T06:14:51Z | CONTRIBUTOR | Motivation
To be able to support legacy browsers without slowing down users with modern browsers, I would like to be able to set additional HTML attributes on the tag fallback script, ```html <script type="module" src="/index.my-es-module-bundle.js"></script> <script src="/index.my-legacy-fallback-bundle.js" nomodule="" defer></script>``` ProposalTo achieve this, I propose additional optional properties to the API accepted by the Under this API, I'd write something like this to get the above HTML rendered in Datasette.
Resources
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1692/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1198822563 | I_kwDOBm6k_c5HdJSj | 1706 | [feature] immutable mode for a directory, not just individual sqlite file | hydrosquall 9020979 | open | 0 | 4 | 2022-04-10T00:50:57Z | 2022-12-09T19:11:40Z | CONTRIBUTOR | Motivation
ProposalImmutable flag works for both single files and directories
|
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1706/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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512996469 | MDU6SXNzdWU1MTI5OTY0Njk= | 607 | Ways to improve fuzzy search speed on larger data sets? | zeluspudding 8431341 | closed | 0 | 6 | 2019-10-27T17:31:37Z | 2019-11-07T03:38:10Z | 2019-11-07T03:38:10Z | NONE | I have an sqlite table with 16 million rows in it. Having read @simonw article "Fast Autocomplete Search for Your Website" I was curious to try datasette to see what kind of query performance I could get out of it. In truth I don't need to do full text search since all I would like to do is give my users a way to search for the names of investors such as "Warren Buffet", or "Tim Cook" (who's names are in a single column). On the first search, Datasette takes over 20 seconds to return all records associated with If I rerun the same search, it then takes almost 9 seconds: That's far to slow to implement an autocomplete feature. I could reduce the latency by making a special table of only unique investor names, thereby reducing the search space to less than a million rows (then I'd need to implement a way to add only new investor names to the table as I received new data.. about 4,000 rows a day). If I did that, I'm still concerned the new table wouldn't be lean enough to lookup investor names quickly. Plus, even if I can implement the autocomplete feature, I would still finally have to lookup records for that investors which would take between 8 - 20 seconds. Are there any tricks for speeding this up? Here's my hardware: |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/607/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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 } |
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476437213 | MDU6SXNzdWU0NzY0MzcyMTM= | 566 | Unexpected keyword argument 'hidden' | dvot197007 8330931 | closed | 0 | 1 | 2019-08-03T10:07:57Z | 2019-08-03T16:13:36Z | 2019-08-03T16:13:36Z | NONE | I couldn't get a test example running. I am running python 3.6.8 and tried both windows and windows subsystem for linux, getting the same error. My test.db was created by converting a five line csv file with csvs-to-sqlite. The csv file is: col1, col2, col3 1,2,3 4,5,6 7,8,9 10,11,12 Here is the error message: (myvenv) davido@DESKTOP-L29G79U:~/dot/datasette-eg$ datasette test.db Traceback (most recent call last): File "/home/davido/dot/datasette-eg/myvenv/bin/datasette", line 7, in <module> from datasette.cli import cli File "/home/davido/dot/datasette-eg/myvenv/lib/python3.6/site-packages/datasette/cli.py", line 2, in <module> import uvicorn File "/home/davido/dot/datasette-eg/myvenv/lib/python3.6/site-packages/uvicorn/init.py", line 2, in <module> from uvicorn.main import Server, main, run File "/home/davido/dot/datasette-eg/myvenv/lib/python3.6/site-packages/uvicorn/main.py", line 224, in <module> headers: typing.List[str], File "/home/davido/dot/datasette-eg/myvenv/lib/python3.6/site-packages/click/decorators.py", line 170, in decorator _param_memo(f, OptionClass(param_decls, attrs)) File "/home/davido/dot/datasette-eg/myvenv/lib/python3.6/site-packages/click/core.py", line 1430, in init Parameter.init(self, param_decls, type=type, attrs) TypeError: init() got an unexpected keyword argument 'hidden' Thanks. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/566/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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451513541 | MDU6SXNzdWU0NTE1MTM1NDE= | 498 | Full text search of all tables at once? | chrismp 7936571 | closed | 0 | 12 | 2019-06-03T14:24:43Z | 2020-05-30T17:26:02Z | 2020-05-30T17:26:02Z | NONE | Does datasette have a built-in way, in a browser, to do a full-text search of all columns, in all databases and tables, that have full-text search enabled? Is there a plugin that does this? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/498/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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451585764 | MDU6SXNzdWU0NTE1ODU3NjQ= | 499 | Accessibility for non-techie newsies? | chrismp 7936571 | open | 0 | 3 | 2019-06-03T16:49:37Z | 2019-06-05T21:22:55Z | NONE | Hi again, I'm having fun uploading datasets to Heroku via datasette. I'd like to set up datasette so that it's easy for other newsroom workers, who don't use Linux and aren't programmers, to upload datasets. Does datsette provide this out-of-the-box, or as a plugin? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/499/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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453131917 | MDU6SXNzdWU0NTMxMzE5MTc= | 502 | Exporting sqlite database(s)? | chrismp 7936571 | closed | 0 | 3 | 2019-06-06T16:39:53Z | 2021-04-03T05:16:54Z | 2019-06-11T18:50:42Z | NONE | I'm working on datasette from one computer. But if I want to work on it from another computer and want to copy the SQLite database(s) already on the Heroku datasette instance, how to I copy the database(s) to the second computer so that I can then update it and push to online via datasette's command line code that pushes code to Heroku? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/502/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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453243459 | MDU6SXNzdWU0NTMyNDM0NTk= | 503 | Handle SQLite databases with spaces in their names? | chrismp 7936571 | closed | 0 | simonw 9599 | 1 | 2019-06-06T21:20:59Z | 2019-11-04T23:16:30Z | 2019-11-04T23:16:30Z | NONE | I named my SQLite database "Government workers" and published it to Heroku. When I clicked the "Government workers" database online it lead to a 404 page: I believe this is because the database name has a space. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/503/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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457147936 | MDU6SXNzdWU0NTcxNDc5MzY= | 512 | "about" parameter in metadata does not appear when alone | chrismp 7936571 | open | 0 | 3 | 2019-06-17T21:04:20Z | 2019-10-11T15:49:13Z | NONE | Here's an example of metadata I have for one database on datasette.
The text in Is this intended? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/512/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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457201907 | MDU6SXNzdWU0NTcyMDE5MDc= | 513 | Is it possible to publish to Heroku despite slug size being too large? | chrismp 7936571 | closed | 0 | 2 | 2019-06-18T00:12:02Z | 2019-06-21T22:35:54Z | 2019-06-21T22:35:54Z | NONE | I'm trying to push more than 1.5GB worth of SQLite databases -- 535MB compressed -- to Heroku but I get this error when I run the
Can I publish the databases and make datasette work on Heroku despite the large slug size? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/513/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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459397625 | MDU6SXNzdWU0NTkzOTc2MjU= | 514 | Documentation with recommendations on running Datasette in production without using Docker | chrismp 7936571 | closed | 0 | Datasette 0.50 5971510 | 27 | 2019-06-21T22:48:12Z | 2020-10-08T23:55:53Z | 2020-10-08T23:33:05Z | NONE | I've got some SQLite databases too big to push to Heroku or the other services with built-in support in datasette. So instead I moved my datasette code and databases to a remote server on Kimsufi. In the folder containing the SQLite databases I run the following code.
When I go to What is the "correct" way to have this site run, preferably on server port 80? |
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442327592 | MDU6SXNzdWU0NDIzMjc1OTI= | 456 | Installing installs the tests package | hellerve 7725188 | closed | 0 | 3 | 2019-05-09T16:35:16Z | 2020-07-24T20:39:54Z | 2020-07-24T20:39:54Z | CONTRIBUTOR | Because The offending line is here: https://github.com/simonw/datasette/blob/bfa2ae0d16d39bb82dbe4da4f3fdc3c7f6257418/setup.py#L40 And only
This should be a relatively simple fix, and I could drop a PR if desired! Cheers |
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1501900064 | I_kwDOBm6k_c5ZhS0g | 1966 | Broken link to live demo in Getting started docs | lbellomo 7551922 | closed | 0 | 1 | 2022-12-18T13:17:00Z | 2022-12-31T19:15:19Z | 2022-12-31T19:15:10Z | NONE | The link in Play with a live demo in Getting started to https://fivethirtyeight.datasettes.com/fivethirtyeight is broken and the datasette is no longer working (maybe due to the end of the free tier). |
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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. |
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810397025 | MDU6SXNzdWU4MTAzOTcwMjU= | 1228 | 500 error caused by faceting if a column called `n` exists | Kabouik 7107523 | closed | 0 | 5 | 2021-02-17T17:41:20Z | 2022-03-19T06:44:40Z | 2022-03-19T01:38:04Z | NONE | I recently discovered So far, I couldn't find anything relevant when reviewing the raw text files that could explain this issue, nor could I find something obvious between the files that generate this issue and those that don't. Does the error ring a bell and, if so, could you please point me to the right direction?
Note that there is no error if I go to http://127.0.0.1:8001/databasetest and then click on |
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811054000 | MDU6SXNzdWU4MTEwNTQwMDA= | 1230 | Vega charts are plotted only for rows on the visible page, cluster maps only for rows in the remaining pages | Kabouik 7107523 | open | 0 | 1 | 2021-02-18T12:27:02Z | 2021-02-18T15:22:15Z | NONE | I filtered a data set on some criteria and obtain 265 results, split over three pages (100, 100, 65), and reazlized that Vega plots are only applied to the results displayed on the current page, instead of the whole filtered data, e.g., 100 on page 1, 100 on page 2, 65 on page 3. Is there a way to force the graphs to consider all results instead of just the page, considering that pages rarely represent sensible information? Likewise, while the cluster map does show all results on the first page, if you go to next pages, it will show all remaining results except the previous page(s), e.g., 265 on page 1, 165 on page 2, 65 on page 3. In both cases, I don't see many situations where one would like to represent the data this way, and it might even lead to interpretation errors when viewing the data. Am I missing some cases where this would be best? Perhaps a clickable option to subset visual representations according visible pages vs. display all search results would do? [Edit] Oh, I just saw the "Load all" button under the cluster map as well as the setting to alter the max number or results. So I guess this issue only is about the Vega charts. |
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814591962 | MDU6SXNzdWU4MTQ1OTE5NjI= | 1240 | Allow facetting on custom queries | Kabouik 7107523 | closed | 0 | 3 | 2021-02-23T15:52:19Z | 2021-02-26T18:19:46Z | 2021-02-26T18:18:18Z | NONE | Facets are a tremendously useful feature, especially for people peeking at the database for the first time and still having little knowledge about the details of the data. It is of great assistance to discover interesting features to explore futher in advanced queries. Yet, it seems it's impossible to use facets when running a custom SQL query, be it from the little gear icons in column names, the facet suggestions at the top (hidden when performing a custom query), or by appending a facet code to the URL. Is there a technical limitation, or is this something that could be unlocked easily? |
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814595021 | MDU6SXNzdWU4MTQ1OTUwMjE= | 1241 | Share button for copying current URL | Kabouik 7107523 | open | 0 | 6 | 2021-02-23T15:55:40Z | 2023-08-24T20:09:52Z | NONE | I use datasette in an This particular use prevents users to access the full URLs of their datasette views and queries, which is a shame because the way datasette handles URLs to make every view or query easy to share is awesome. I know how to get the URL from the context menu of my browser, but I don't think many visitors would do it or even notice that datasette uses permalinks for pretty much every action they do. Would it be possible to add a "Share link" button to the interface, either in datasette itself or in a plugin? |
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644582921 | MDU6SXNzdWU2NDQ1ODI5MjE= | 865 | base_url doesn't seem to work when adding criteria and clicking "apply" | tballison 6739646 | closed | 0 | 0.51 6026070 | 11 | 2020-06-24T12:39:57Z | 2020-11-12T23:49:24Z | 2020-10-20T05:22:59Z | NONE | Over on Apache Tika, we're using datasette to allow users to make sense of the metadata for our file regression testing corpus. This could be user error in how I've set up the reverse proxy! I started datasette like so:
I then reverse proxied like so: ProxyPreserveHost On ProxyPass /datasette http://x.y.z.q:xxxx ProxyPassReverse /datasette http://x.y.z.q:xxx Regular sql works perfectly: https://corpora.tika.apache.org/datasette/corpora-metadata?sql=select+mime_string%2C+count%281%29+as+cnt%0D%0Afrom+profiles+p%0D%0Ajoin+mimes+m+on+p.mime_id%3Dm.mime_id%0D%0Agroup+by+mime_string%0D%0Aorder+by+cnt+desc However, adding criteria and clicking 'Apply' https://corpora.tika.apache.org/datasette/corpora-metadata/tika_1_24_1_mimes?_sort=file&mime__exact=text%2Fplain bounces back to: https://corpora.tika.apache.org/corpora-metadata/tika_1_24_1_mimes?_sort=file&file__contains=bug&mime__exact=text%2Fplain |
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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: |
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546961357 | MDU6SXNzdWU1NDY5NjEzNTc= | 656 | Display of the column definitions | JBPressac 6371750 | closed | 0 | 1 | 2020-01-08T16:16:53Z | 2020-01-20T14:17:11Z | 2020-01-20T14:14:33Z | CONTRIBUTOR | Hello, Is the nice display of headers and definitions at the top of https://fivethirtyeight.datasettes.com/fivethirtyeight-ac35616/antiquities-act%2Factions_under_antiquities_act is configured in the metadata.json file ? Thank you, |
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600120439 | MDU6SXNzdWU2MDAxMjA0Mzk= | 726 | Foreign key : case of a link to the associated row not displayed | JBPressac 6371750 | closed | 0 | 1 | 2020-04-15T08:31:27Z | 2020-04-27T22:05:47Z | 2020-04-27T22:05:46Z | CONTRIBUTOR | Hello, I use Datasette to publish tsv files linked together by foreign keys declared thanks to sqlite-utils. In one table, prelib_personne, the foreign keys are properly noticed by a link to the associated row (for instance ville_naissance_id is properly linked to prelib_ville). But every link to the foreign key prelib_oeuvre.id fails. For instance, prelib_ecritoeuvre has links to prelib_personne but none to prelib_oeuvre. In despite of the schema: CREATE TABLE "prelib_ecritoeuvre" ( "id" INTEGER, "fonction_id" INTEGER, "oeuvre_id" INTEGER, "personne_id" INTEGER ,PRIMARY KEY ([id]), FOREIGN KEY(fonction_id) REFERENCES prelib_fonctionecritoeuvre(id), FOREIGN KEY(personne_id) REFERENCES prelib_personne(id), FOREIGN KEY(oeuvre_id) REFERENCES prelib_oeuvre(id) ); Would you have any clue to investigate the reason of this problem? Thanks, |
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802513359 | MDU6SXNzdWU4MDI1MTMzNTk= | 1217 | Possible to deploy as a python app (for Rstudio connect server)? | plpxsk 6165713 | open | 0 | 4 | 2021-02-05T22:21:24Z | 2022-11-04T11:37:52Z | NONE | Is it possible to deploy a In my enterprise, I have option to deploy python apps via Rstudio Connect, and I would like to publish a I welcome any pointers to converting |
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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 |
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860722711 | MDU6SXNzdWU4NjA3MjI3MTE= | 1301 | Publishing to cloudrun with immutable mode? | louispotok 5413548 | open | 0 | 1 | 2021-04-18T17:51:46Z | 2022-10-07T02:38:04Z | CONTRIBUTOR | I'm a bit confused about immutable mode and publishing to cloudrun. (I want to publish with immutable mode so that I can support database downloads.) Running
However, running When I just |
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870946764 | MDU6SXNzdWU4NzA5NDY3NjQ= | 1312 | how to query many-to-many relationship via json API? | bram2000 5268174 | open | 0 | 0 | 2021-04-29T12:09:49Z | 2021-04-29T12:09:49Z | NONE | Hi, Firstly thanks for Datasette, it's great! I'm trying to use the JSON API to query data from a Datasette instance. I have a simple 3 table many-to-many relationship, like so:
the Now I want to return "all documents within category X" but I cannot see a way to do this without executing two queries; the first to lookup the row_id of category X, and the second to join I could easily write this in SQL, but this makes programmatic handling of pagination much more difficult (we'd have to dynamically modify the SQL to select the row_id and include the correct where and limit clauses). Is there a way to achieve this using the JSON API? |
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891969037 | MDU6SXNzdWU4OTE5NjkwMzc= | 1326 | How to limit fields returned from the JSON API? | bram2000 5268174 | closed | 0 | 1 | 2021-05-14T14:27:41Z | 2021-05-23T02:55:06Z | 2021-05-23T02:55:00Z | NONE | Hi, I have quite wide tables, and in many cases only want a subset of the data (to save on network bandwidth). I need to use the JSON API as handling pagination is so much easier, but I can't see a way to select specific columns. Is there a way to do this, or is it a feature request? Thanks! |
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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? |
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794554881 | MDU6SXNzdWU3OTQ1NTQ4ODE= | 1208 | A lot of open(file) functions are used without a context manager thus producing ResourceWarning: unclosed file <_io.TextIOWrapper | kbaikov 4488943 | closed | 0 | 2 | 2021-01-26T20:56:28Z | 2021-03-11T16:15:49Z | 2021-03-11T16:15:49Z | CONTRIBUTOR | Your code is full of open files that are never closed, especially when you deal with reading/writing json/yaml files. If you run python with warnings enabled this problem becomes evident. This probably contributes to some memory leaks in long running datasettes if the GC will not 'collect' those resources properly. This is easily fixed by using a context manager instead of just using open:
In some newer parts of the code you use Path objects 'read_text' and 'write_text' functions which close the file properly and are prefered in some cases. If you want I can create a PR for all places i found this pattern in. Bellow is a fraction of places where i found a ResourceWarning: ```python update-docs-help.py: 20 actual = actual.replace("Usage: cli ", "Usage: datasette ") 21: open(docs_path / filename, "w").write(actual) 22 datasette\app.py: 210 ): 211: inspect_data = json.load((config_dir / "inspect-data.json").open()) 212 if immutables is None: 266 if config_dir and (config_dir / "settings.json").exists() and not config: 267: config = json.load((config_dir / "settings.json").open()) 268 self._settings = dict(DEFAULT_SETTINGS, **(config or {})) 445 self._app_css_hash = hashlib.sha1( 446: open(os.path.join(str(app_root), "datasette/static/app.css")) 447 .read() datasette\cli.py: 130 else: 131: out = open(inspect_file, "w") 132 loop = asyncio.get_event_loop() 459 if inspect_file: 460: inspect_data = json.load(open(inspect_file)) 461 ``` |
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797651831 | MDU6SXNzdWU3OTc2NTE4MzE= | 1212 | Tests are very slow. | kbaikov 4488943 | closed | 0 | 4 | 2021-01-31T08:06:16Z | 2021-02-19T22:54:13Z | 2021-02-19T22:54:13Z | CONTRIBUTOR | Working on my PR i noticed that tests are very slow. The plain pytest run took about 37 minutes for me.
However i could shave of about 10 minutes from that if i used pytest-xdist to parallelize execution.
I can create a PR to mention that in your documentation. This will be a simple change to add pytest-xdist to requirements and change a command to run pytest in documentation. Does that make sense to you? After a bit more investigation it looks like python-xdist is not an answer. It creates a race condition for tests that try to clead temp dir before run. Profiling shows that most time is spent on conn.executescript(TABLES) in make_app_client function. Which makes sense. Perhaps the better approach would be look at the app_client fixture which is already session scoped, but not used by all test cases. And/or use conn = sqlite3.connect(":memory:") which is much faster. And/or truncate tables after each TC instead of deleting the file and re-creating them. I can take a look which is the best approach if you give the go-ahead. |
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506183241 | MDU6SXNzdWU1MDYxODMyNDE= | 593 | make uvicorn optional dependancy (because not ok on windows python yet) | stonebig 4312421 | closed | 0 | 3 | 2019-10-12T12:51:07Z | 2019-10-13T06:22:08Z | 2019-10-13T06:22:07Z | NONE | would it be possible to: - remove uvicorn mandatory dependancy ? - eventually make a fallback to hypercorn ? reason: - uvloop not yet supported on Windows/Python-3.8 and below, may happen with Python-3.9 only. - it seems a 6 lines effort (but I'm not expert) |
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506297048 | MDU6SXNzdWU1MDYyOTcwNDg= | 594 | upgrade to uvicorn-0.9 to be Python-3.8 friendly | stonebig 4312421 | closed | 0 | 3 | 2019-10-13T09:23:43Z | 2019-11-12T04:47:04Z | 2019-11-12T04:47:04Z | NONE | uvicorn-0.8 relies on websockets-0.7 which lacks python-3.8 compatiblity |
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870125126 | MDU6SXNzdWU4NzAxMjUxMjY= | 1310 | I'm creating a plugin to export a spreadsheet file (.ods or .xlsx) | ColinMaudry 3747136 | closed | 0 | 2 | 2021-04-28T16:20:11Z | 2021-04-30T07:26:11Z | 2021-04-30T06:58:46Z | NONE | Hi, I have started developing a plugin to export records as a spreadsheet file. It could be ods or xlsx, whatever is easier. I have spotted the following packages:
This is the code I have so far, I test it with the ```python from datasette import hookimpl from datasette.utils.asgi import Response import odswriter as ods def render_spreadsheet(rows): with ods.writer(open("test.ods","wb")) as odsfile: for row in rows: odsfile.writerow(["String", "ABCDEF123456", "123456"]) return Response(odsfile, content_type="application/vnd.oasis.opendocument.spreadsheet", status=200) @hookimpl def register_output_renderer(): return {"extension": "ods", "render": render_spreadsheet} ``` I get the following error: ``` Traceback (most recent call last): File "/home/colin/.local/lib/python3.8/site-packages/datasette/app.py", line 1128, in route_path await response.asgi_send(send) File "/home/colin/.local/lib/python3.8/site-packages/datasette/utils/asgi.py", line 339, in asgi_send body = body.encode("utf-8") AttributeError: 'ODSWriter' object has no attribute 'encode' ERROR: Exception in ASGI application Traceback (most recent call last): File "/home/colin/.local/lib/python3.8/site-packages/datasette/app.py", line 1128, in route_path await response.asgi_send(send) File "/home/colin/.local/lib/python3.8/site-packages/datasette/utils/asgi.py", line 339, in asgi_send body = body.encode("utf-8") AttributeError: 'ODSWriter' object has no attribute 'encode' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/colin/.local/lib/python3.8/site-packages/uvicorn/protocols/http/h11_impl.py", line 396, in run_asgi result = await app(self.scope, self.receive, self.send) File "/home/colin/.local/lib/python3.8/site-packages/uvicorn/middleware/proxy_headers.py", line 45, in call return await self.app(scope, receive, send) File "/home/colin/.local/lib/python3.8/site-packages/datasette/utils/asgi.py", line 161, in call await self.app(scope, receive, send) File "/home/colin/.local/lib/python3.8/site-packages/datasette/tracer.py", line 75, in call await self.app(scope, receive, send) File "/home/colin/.local/lib/python3.8/site-packages/asgi_csrf.py", line 107, in app_wrapped_with_csrf await app(scope, receive, wrapped_send) File "/home/colin/.local/lib/python3.8/site-packages/datasette/app.py", line 1086, in call return await self.route_path(scope, receive, send, path) File "/home/colin/.local/lib/python3.8/site-packages/datasette/app.py", line 1133, in route_path return await self.handle_500(request, send, exception) File "/home/colin/.local/lib/python3.8/site-packages/datasette/app.py", line 1267, in handle_500 await asgi_send_html( File "/home/colin/.local/lib/python3.8/site-packages/datasette/utils/asgi.py", line 217, in asgi_send_html await asgi_send( File "/home/colin/.local/lib/python3.8/site-packages/datasette/utils/asgi.py", line 237, in asgi_send await asgi_start(send, status, headers, content_type) File "/home/colin/.local/lib/python3.8/site-packages/datasette/utils/asgi.py", line 246, in asgi_start await send( File "/home/colin/.local/lib/python3.8/site-packages/asgi_csrf.py", line 103, in wrapped_send await send(event) File "/home/colin/.local/lib/python3.8/site-packages/uvicorn/protocols/http/h11_impl.py", line 482, in send raise RuntimeError(msg % message_type) RuntimeError: Expected ASGI message 'http.response.body', but got 'http.response.start'. ``` I tried with
However, the
How would you suggest me to proceed to have my ods file downloaded? |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1310/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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