github
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1715468032 | PR_kwDOBm6k_c5QzEAM | 2076 | Datsette gpt plugin | 130708713 | open | 0 | 0 | 2023-05-18T11:22:30Z | 2023-05-18T11:22:45Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2076 | <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--2076.org.readthedocs.build/en/2076/ <!-- readthedocs-preview datasette end --> | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2076/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1046887492 | PR_kwDODFE5qs4uMsMJ | 9 | Removed space from filename My Activity.json | 91880982 | open | 0 | 0 | 2021-11-08T00:04:31Z | 2021-11-08T00:04:31Z | FIRST_TIME_CONTRIBUTOR | dogsheep/google-takeout-to-sqlite/pulls/9 | File name from google takeout has no space. The code only runs without error if filename is "MyActivity.json" and not "My Activity.json". Is it a new change by Google? | 206649770 | pull | { "url": "https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/9/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
947596222 | MDExOlB1bGxSZXF1ZXN0NjkyNTU3Mzgx | 1399 | Multiple sort | 87192257 | open | 0 | 0 | 2021-07-19T12:20:14Z | 2021-07-19T12:20:14Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1399 | Closes #197. I have added support for sorting by multiple parameters as mentioned in the issue above, and together with that, a suggestion on how to implement such sorting in the user interface. | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1399/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1639873822 | PR_kwDOBm6k_c5M29tt | 2044 | Expand labels in row view as well (patch for 0.64.x branch) | 82332573 | open | 0 | 0 | 2023-03-24T18:44:44Z | 2023-03-24T18:44:57Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2044 | This is a version of #2031 for the 0.64.x branch. <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--2044.org.readthedocs.build/en/2044/ <!-- readthedocs-preview datasette end --> | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2044/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1605481359 | PR_kwDOBm6k_c5LDwrF | 2031 | Expand foreign key references in row view as well | 82332573 | open | 0 | 5 | 2023-03-01T18:43:09Z | 2023-03-24T18:35:25Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2031 | Unlike the table view, the single row view does not resolve foreign key references into labels. This patch extracts the foreign key reference expansion code from TableView.data() into a standalone function that is then called by both TableView.data() and RowView.data(). <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--2031.org.readthedocs.build/en/2031/ <!-- readthedocs-preview datasette end --> | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2031/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
855446829 | MDExOlB1bGxSZXF1ZXN0NjEzMTc4OTY4 | 1296 | Dockerfile: use Ubuntu 20.10 as base | 82332573 | open | 0 | 4 | 2021-04-12T00:23:32Z | 2021-07-20T08:52:13Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1296 | This PR changes the main Dockerfile to use ubuntu:20.10 as base image instead of python:3.9.2-slim-buster (itself based on debian:buster-slim). The Dockerfile is essentially the one from https://github.com/simonw/datasette/issues/1249#issuecomment-803698983 with some additional cleanups to slim it down. This fixes a couple of issues: 1. The SQLite version in Debian Buster (2.6.0) doesn't support generated columns 2. Installing SpatiaLite from the Debian sid repositories has the side effect of also installing updates to libc and libstdc++ from sid. As a bonus, the Docker image becomes smaller: ``` $ docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE datasette 0.56-ubuntu f7aca255140a 5 hours ago 212MB datasetteproject/datasette 0.56 efb3b282f390 13 days ago 258MB ``` ### Reproduction of the first issue ``` $ curl -O https://latest.datasette.io/fixtures.db % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 260k 0 260k 0 0 489k 0 --:--:-- --:--:-- --:--:-- 489k $ docker run -v `pwd`:/mnt datasetteproject/datasette:0.56 datasette /mnt/fixtures.db Traceback (most recent call last): File "/usr/local/bin/datasette", line 8, in <module> sys.exit(cli()) File "/usr/local/lib/python3.9/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/usr/local/lib/python3.9/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/usr/local/lib/python3.9/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/usr/local/lib/python3.9/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "/usr/local/lib/python3.9/site-packages/click/core.py", line 610, in invoke return callback(*args, … | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1296/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1010112818 | I_kwDOBm6k_c48NRky | 1479 | Win32 "used by another process" error with datasette publish | 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 `flyctl apps create frosty-fog-8565` and the ran `datasette publish fly covid.db --app frosty-fog-8565` ``` Deploying frosty-fog-8565 ==> Validating app configuration --> Validating app configuration done Services TCP 80/443 ⇢ 8080 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:\use… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1479/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
989109888 | MDU6SXNzdWU5ODkxMDk4ODg= | 1460 | Override column metadata with metadata from another column | 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: ``` CREATE TABLE fuel_ferc1 ( id INTEGER NOT NULL, record_id TEXT, utility_id_ferc1 INTEGER, report_year INTEGER, plant_name_ferc1 TEXT, fuel_type_code_pudl VARCHAR(7), fuel_unit VARCHAR(7), fuel_qty_burned FLOAT, fuel_mmbtu_per_unit FLOAT, fuel_cost_per_unit_burned FLOAT, fuel_cost_per_unit_delivered FLOAT, fuel_cost_per_mmbtu FLOAT, PRIMARY KEY (id), FOREIGN KEY(plant_name_ferc1, utility_id_ferc1) REFERENCES plants_ferc1 (plant_name_ferc1, utility_id_ferc1), CONSTRAINT fuel_ferc1_fuel_type_code_pudl_enum CHECK (fuel_type_code_pudl IN ('coal', 'oil', 'gas', 'solar', 'wind', 'hydro', 'nuclear', 'waste', 'unknown')), CONSTRAINT fuel_ferc1_fuel_unit_enum CHECK (fuel_unit IN ('ton', 'mcf', 'bbl', 'gal', 'kgal', 'gramsU', 'kgU', 'klbs', 'btu', 'mmbtu', 'mwdth', 'mwhth', 'unknown')) ); ``` Note that `fuel_unit` is a unit that **pint** can understand, and that `fuel_qty_burned` is a column of data that could be expressed in terms of actual units, not merely as a dimensionless number. Ditto the `fuel_cost_per_unit_...` columns. Is there a way to give a column a default metadata unit (such as *tons* or *USD/ton*) and then let that be overridden when the metadata in another column says *barrels* or *USD/gramsU*? @catalyst-cooperative | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1460/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1123393829 | I_kwDODFE5qs5C9aEl | 10 | sqlite3.OperationalError: no such table: main.my_activity | 69208826 | open | 0 | 1 | 2022-02-03T17:59:29Z | 2022-03-20T02:38:07Z | NONE | Hello, When i run the command `google-takeout-to-sqlite my-activity db.db takeout-20220203T174446Z-001.zip`, i get this error : ``` Traceback (most recent call last): File "c:\users\julie\appdata\local\programs\python\python39-32\lib\runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "c:\users\julie\appdata\local\programs\python\python39-32\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\Users\julie\AppData\Local\Programs\Python\Python39-32\Scripts\google-takeout-to-sqlite.exe\__main__.py", line 7, in <module> File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py", line 1128, in __call__ return self.main(*args, **kwargs) File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py", line 1053, in main rv = self.invoke(ctx) File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py", line 1395, in invoke return ctx.invoke(self.callback, **ctx.params) File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py", line 754, in invoke return __callback(*args, **kwargs) File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\google_takeout_to_sqlite\cli.py", line 31, in my_activity utils.save_my_activity(db, zf) File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\google_takeout_to_sqlite\utils.py", line 19, in save_my_activity db["my_activity"].create_index(["time"]) File "c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\sqlite_utils\db.py", line 629, in create_index self.db.conn.execute(sql) sqlite3.OperationalError: no such table: main.my_activity ``` Thank you for your help … | 206649770 | issue | { "url": "https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/10/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1091257796 | I_kwDOBm6k_c5BC0XE | 1584 | give error with recursive sql | 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 | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1584/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1148725876 | I_kwDOBm6k_c5EeCp0 | 1640 | Support static assets where file length may change, e.g. logs | 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). ```python Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/datasette/app.py", line 1181, in route_path response = await view(request, send) File "/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py", line 305, in inner_static await asgi_send_file(send, full_path, chunk_size=chunk_size) File "/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py", line 280, in asgi_send_file await send( File "/usr/local/lib/python3.9/site-packages/asgi_csrf.py", line 104, in wrapped_send await send(event) File "/usr/local/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py", line 460, in send output = self.conn.send(event) File "/usr/local/lib/python3.9/site-packages/h11/_connection.py", line 468, in send data_list = self.send_with_data_passthrough(event) File "/usr/local/lib/python3.9/site-packages/h11/_connection.py", line 501, in send_with_data_passthrough writer(event, data_list.append) File "/usr/local/lib/python3.9/site-packages/h11/_writers.py", line 58, in __call__ self.send_data(event.data, write) File "/usr/local/lib/python3.9/site-packages/h11/_writers.py", line 78, in send_data raise LocalProtocolError("Too much data for declared Content-Length") h11._util.LocalProtocolError: Too much data for declared Content-Length ERROR: Exception in ASGI application Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/datasette/app.py", line 1181, in route_path response = await view(request, send) File "/usr/lo… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1640/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1077560091 | I_kwDODEm0Qs5AOkMb | 61 | Data Pull fails for "Essential" level access to the Twitter API (for Documentation) | 57161638 | open | 0 | 1 | 2021-12-11T14:59:41Z | 2022-10-31T14:47:58Z | NONE | Per Twitter documentation: https://developer.twitter.com/en/docs/twitter-api/getting-started/about-twitter-api#v2-access-leve This isn't any fault of twitter-to-sqlite of course, but it should probably be documented as a side-note. ![image](https://user-images.githubusercontent.com/57161638/145681272-8c85b3b9-be95-44ff-9760-1bafa4917ce2.png) And this is how I'm surfacing the message from utils.py: ![image](https://user-images.githubusercontent.com/57161638/145681005-2776c0ad-9822-4461-b43a-450ab2e828eb.png) | 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/61/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1865983069 | PR_kwDOBm6k_c5YvQSi | 2158 | add brand option to metadata.json. | 52261150 | open | 0 | 0 | 2023-08-24T22:37:41Z | 2023-08-24T22:37:57Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2158 | This adds a brand link to the top navbar if 'brand' key is populated in metadata.json. The link will be either '#' or use the contents of 'brand_url' in metadata.json for href. I was able to get this done on my own site by replacing `templates/_crumbs.html` with a custom version, but I thought it would be nice to incorporate this in the tool directly. ![image](https://github.com/simonw/datasette/assets/52261150/fdfe9bb5-fee4-466c-8074-6132071d94e6) <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--2158.org.readthedocs.build/en/2158/ <!-- readthedocs-preview datasette end --> | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2158/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
476852861 | MDU6SXNzdWU0NzY4NTI4NjE= | 568 | Add database_color as a configurable option | 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. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/568/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
459882902 | MDU6SXNzdWU0NTk4ODI5MDI= | 526 | Stream all results for arbitrary SQL and canned queries | 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: `http://myserver/history_sample/two_days.csv?_stream=on` returns only first 1.000 records. If I do the same with the whole database i.e. `http://myserver/history_sample/database.csv?_stream=on` I get correctly all records. Any ideas? | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/526/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1983600865 | PR_kwDOBm6k_c5e7WH7 | 2206 | Bump the python-packages group with 1 update | 49699333 | open | 0 | 1 | 2023-11-08T13:18:56Z | 2023-12-08T13:46:24Z | CONTRIBUTOR | simonw/datasette/pulls/2206 | Bumps the python-packages group with 1 update: [black](https://github.com/psf/black). <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/psf/black/releases">black's releases</a>.</em></p> <blockquote> <h2>23.11.0</h2> <h3>Highlights</h3> <ul> <li>Support formatting ranges of lines with the new <code>--line-ranges</code> command-line option (<a href="https://redirect.github.com/psf/black/issues/4020">#4020</a>)</li> </ul> <h3>Stable style</h3> <ul> <li>Fix crash on formatting bytes strings that look like docstrings (<a href="https://redirect.github.com/psf/black/issues/4003">#4003</a>)</li> <li>Fix crash when whitespace followed a backslash before newline in a docstring (<a href="https://redirect.github.com/psf/black/issues/4008">#4008</a>)</li> <li>Fix standalone comments inside complex blocks crashing Black (<a href="https://redirect.github.com/psf/black/issues/4016">#4016</a>)</li> <li>Fix crash on formatting code like <code>await (a ** b)</code> (<a href="https://redirect.github.com/psf/black/issues/3994">#3994</a>)</li> <li>No longer treat leading f-strings as docstrings. This matches Python's behaviour and fixes a crash (<a href="https://redirect.github.com/psf/black/issues/4019">#4019</a>)</li> </ul> <h3>Preview style</h3> <ul> <li>Multiline dicts and lists that are the sole argument to a function are now indented less (<a href="https://redirect.github.com/psf/black/issues/3964">#3964</a>)</li> <li>Multiline unpacked dicts and lists as the sole argument to a function are now also indented less (<a href="https://redirect.github.com/psf/black/issues/3992">#3992</a>)</li> <li>In f-string debug expressions, quote types that are visible in the final string are now preserved (<a href="https://redirect.github.com/psf/black/issues/4005">#4005</a>)</li> <li>Fix a bug where long <code>case</code> blocks were not split into multiple lines. Also enable general trailing comma rules on <code>case</code> blocks (<a href="https://redirect.github.com/psf/black/issues/4024">#4024</a>)… | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2206/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
550293770 | MDU6SXNzdWU1NTAyOTM3NzA= | 658 | How do I use the app.css as style sheet? | 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! | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/658/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1822918995 | I_kwDOCGYnMM5sp4lT | 580 | Add way to export to a csv file using the Python library | 44324811 | open | 0 | 0 | 2023-07-26T18:09:26Z | 2023-07-26T18:09:26Z | NONE | According to the documentation, we can make a csv output using the CLI tool, but not the Python library. Could we have the latter? | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/580/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
771511344 | MDExOlB1bGxSZXF1ZXN0NTQzMDE1ODI1 | 31 | Update for Big Sur | 41546558 | open | 0 | 7 | 2020-12-20T04:36:45Z | 2023-08-08T15:52:52Z | CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/31 | Refactored out the SQL for extracting aesthetic scores to use osxphotos -- adds compatbility for Big Sur via osxphotos which has been updated for new table names in Big Sur. Have not yet refactored the SQL for extracting labels which is still compatible with Big Sur. | 256834907 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/31/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1690765434 | I_kwDOBm6k_c5kxwh6 | 2067 | Litestream-restored db: errors on 3.11 and 3.10.8; but works on py3.10.7 and 3.10.6 | 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 3.11.3 litestream restore -o data/db.sqlite s3://mytestbucketxx/db sqlite3 data/db.sqlite # SQLite version 3.41.2 2023-03-22 11:56:21 # Enter ".help" for usage hints. # sqlite> .tables # _litestream_lock _litestream_seq movie # sqlite> ``` However this get me an `OperationalError` when reading via datasette: <details> <summary>Error on 3.11.3 and 3.10.8</summary> ```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/… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2067/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
735852274 | MDU6SXNzdWU3MzU4NTIyNzQ= | 1082 | DigitalOcean buildpack memory errors for large sqlite db? | 39538958 | open | 0 | 3 | 2020-11-04T06:35:32Z | 2020-11-04T19:35:44Z | NONE | 1. Have a sqlite db stored in Dropbox 2. Previously tried the Digital Ocean build pack minimal approach (e.g. Procfile, requirements.txt, bin/post_compile) 3. bin/post_compile with wget from Dropbox 4. download of large sqlite db is successful 5. log reveals that when building Docker container, Digital Ocean runs out of memory for 5gb+ sqlite db but works fine for 2gb+ sqlite db | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1082/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
925384329 | MDExOlB1bGxSZXF1ZXN0NjczODcyOTc0 | 7 | Add instagram-to-sqlite | 36654812 | open | 0 | 0 | 2021-06-19T12:26:16Z | 2021-07-28T07:58:59Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/7 | The tool covers only chat imports at the time of opening this PR but I'm planning to import everything else that I feel inquisitive about ref: https://github.com/gavindsouza/instagram-to-sqlite | 214746582 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/7/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1149402080 | PR_kwDODFdgUs4zaUta | 70 | scrape-dependents: enable paging through package menu option if present | 36061055 | open | 0 | 0 | 2022-02-24T15:07:25Z | 2022-02-24T15:07:25Z | FIRST_TIME_CONTRIBUTOR | dogsheep/github-to-sqlite/pulls/70 | Some repos organize network dependents by a Package toggle. This PR adds the ability to page through those options and scrape underlying dependents. | 207052882 | pull | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/70/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
978086284 | MDExOlB1bGxSZXF1ZXN0NzE4NzM0MTkx | 22 | Make sure that case-insensitive column names are unique | 32016596 | open | 0 | 1 | 2021-08-24T13:13:38Z | 2021-08-24T13:26:20Z | FIRST_TIME_CONTRIBUTOR | dogsheep/healthkit-to-sqlite/pulls/22 | This closes #21. When there are metadata entries with the same case insensitive string, then there is an error when trying to create a new column for that metadata entry in the database table, because a column with that case insensitive name already exists. ```xml <Record type="HKQuantityTypeIdentifierDietaryCholesterol" sourceName="MyFitnessPal" sourceVersion="35120" unit="mg" creationDate="2021-07-04 20:55:27 +0200" startDate="2021-07-04 20:55:00 +0200" endDate="2021-07-04 20:55:00 +0200" value="124"> <MetadataEntry key="meal" value="Dinner"/> <MetadataEntry key="Meal" value="Dinner"/> </Record> ``` The code added in this PR checks if a key already exists in a record and if so adds a number at its end. The resulting column names look like the example below then. Interestingly, the column names viewed with Datasette are not case insensitive. ```text startDate, endDate, value, unit, sourceName, sourceVersion, creationDate, metadata_meal, metadata_Meal_2, metadata_Mahlzeit ``` | 197882382 | pull | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/22/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
977128935 | MDU6SXNzdWU5NzcxMjg5MzU= | 21 | Duplicate Column | 32016596 | open | 0 | 1 | 2021-08-23T15:00:44Z | 2021-08-23T17:00:59Z | NONE | Hey, thank you for this repo! When I try to convert my export, I get a multiple column error. Here is the stack trace: ```sh (.venv) (base) computer:bodyweight_app user$ healthkit-to-sqlite ./data/Health_export.zip ./data/healthkit.db Importing from HealthKit [###############################-----] 87% 00:00:22 Traceback (most recent call last): File "/MyProject/.venv/bin/healthkit-to-sqlite", line 10, in <module> sys.exit(cli()) File "/MyProject/.venv/lib/python3.7/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/MyProject/.venv/lib/python3.7/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/MyProject/.venv/lib/python3.7/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "/MyProject/.venv/lib/python3.7/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/MyProject/.venv/lib/python3.7/site-packages/healthkit_to_sqlite/cli.py", line 57, in cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) File "/MyProject/.venv/lib/python3.7/site-packages/healthkit_to_sqlite/utils.py", line 41, in convert_xml_to_sqlite write_records(records, db) File "/MyProject/.venv/lib/python3.7/site-packages/healthkit_to_sqlite/utils.py", line 146, in write_records batch_size=50, File "/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py", line 2579, in insert_all extracts=extracts, File "/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py", line 1246, in create extracts=extracts, File "/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py", line 767, in create_table self.execute(sql) File "/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py", line 421, in execute return self.conn.execute(sql) sqlite3.OperationalError: duplicate column name: metadata_Meal ``` | 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/21/reactions", "total_count": 5, "+1": 5, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1698865182 | I_kwDOBm6k_c5lQqAe | 2069 | [BUG] Cannot insert new data to deployed instance | 31861128 | open | 0 | 1 | 2023-05-07T02:59:42Z | 2023-05-07T03:17:35Z | NONE | ## Summary Recently, I deployed an instance of datasette to Vercel with the following plugins: - datasette-auth-tokens - datasette-insert 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: ```console 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 ``` <img width="1380" alt="image" src="https://user-images.githubusercontent.com/31861128/236655274-3fd5e16f-4e06-4ba8-87ff-41130b8ebe90.png"> I think it is a potential bug. ## Reproduce <details><summary>metadata.json</summary> </br> ```json { "plugins": { "datasette-insert": { "allow": { "id": "*" } }, "datasette-auth-tokens": { "tokens": [ { "token": { "$env": "INSERT_TOKEN" }, "actor": { "id": "repeater" } } ], "param": "_auth_token" } } } ``` </details> <details><summary>commands</summary> </br> ```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' ``` </details> <details><summary>logs</summary> </br> ```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… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2069/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
975161924 | MDExOlB1bGxSZXF1ZXN0NzE2MzU3OTgy | 66 | Add --merged-by flag to pull-requests sub command | 30531572 | open | 0 | 1 | 2021-08-20T00:57:55Z | 2021-09-28T21:50:31Z | FIRST_TIME_CONTRIBUTOR | dogsheep/github-to-sqlite/pulls/66 | ## Description Proposing a solution to the API limitation for `merged_by` in pull_requests. Specifically the following called out in the readme: ``` Note that the merged_by column on the pull_requests table will only be populated for pull requests that are loaded using the --pull-request option - the GitHub API does not return this field for pull requests that are loaded in bulk. ``` This approach might cause larger repos to hit rate limits called out in https://github.com/dogsheep/github-to-sqlite/issues/51 but seems to work well in the repos I tested and included below. ## Old Behavior - Had to list out the pull-requests individually via multiple `--pull-request` flags ## New Behavior - `--merged-by` flag for getting 'merge_by' information out of pull-requests without having to specify individual PR numbers. # Testing Picking some repo that has more than one merger (datasette only has 1 😉 ) ``` $ github-to-sqlite pull-requests ./github.db opnsense/tools --merged-by $ echo "select id, url, merged_by from pull_requests;" | sqlite3 ./github.db 83533612|https://github.com/opnsense/tools/pull/39|1915288 102632885|https://github.com/opnsense/tools/pull/43|1915288 149114810|https://github.com/opnsense/tools/pull/57|1915288 160394495|https://github.com/opnsense/tools/pull/64|1915288 163308408|https://github.com/opnsense/tools/pull/67|1915288 169723264|https://github.com/opnsense/tools/pull/69|1915288 171381422|https://github.com/opnsense/tools/pull/72|1915288 179938195|https://github.com/opnsense/tools/pull/77|1915288 196233824|https://github.com/opnsense/tools/pull/82|1915288 215289964|https://github.com/opnsense/tools/pull/93| 219696100|https://github.com/opnsense/tools/pull/97|1915288 223664843|https://github.com/opnsense/tools/pull/99| 228446172|https://github.com/opnsense/tools/pull/103|1915288 238930434|https://github.com/opnsense/tools/pull/110|1915288 255507110|https://github.com/opnsense/tools/pull/119|1915288 255980675|https://github.com/opnsense/tools/pull/120… | 207052882 | pull | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/66/reactions", "total_count": 3, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
0 | ||||||
818684978 | MDU6SXNzdWU4MTg2ODQ5Nzg= | 243 | How can i use this utils to deal with fts on column meta of tables ? | 27874014 | open | 0 | 0 | 2021-03-01T09:45:05Z | 2021-03-01T09:45:05Z | NONE | Thank you to release this bravo project. When i use this project on multi table db, I want to implement convenient search on column name from different tables. I want to develop a meta table to save the meta data of different columns of different tables and search on this meta table to get rows from the data table (which the meta table describes) does this project provide some simple function on it ? You can think a have a knowledge graph about the table in the db, and i save this knowledge graph into the db with fts enabled. | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/243/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
629473827 | MDU6SXNzdWU2Mjk0NzM4Mjc= | 5 | Set up a demo | 26745575 | open | 0 | 1 | 2020-06-02T19:56:49Z | 2020-09-01T06:18:43Z | NONE | First off, thanks for open sourcing this application! This is a suggestion to increase the amount of people that would make use of it: an example in the readme file would help. Currently, users have to clone the app, install it, authorize through pocket, run a command, an then find out if this application does what they hope it does. Another possibility is to add a file `example-output.db`, containing one (mock) Pocket article. Keep up the good work! | 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/5/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
539204432 | MDU6SXNzdWU1MzkyMDQ0MzI= | 70 | Implement ON DELETE and ON UPDATE actions for foreign keys | 26292069 | open | 0 | 2 | 2019-12-17T17:19:10Z | 2020-02-27T04:18:53Z | NONE | Hi! I did not find any mention on the library about ON DELETE and ON UPDATE actions for foreign keys. Are those expected to be implemented? If not, it would be a nice thing to include! | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/70/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1513238455 | PR_kwDODEm0Qs5GUoPm | 71 | Archive: Fix "ni devices" typo in importer | 26161409 | open | 0 | 0 | 2022-12-28T23:33:31Z | 2022-12-28T23:33:31Z | FIRST_TIME_CONTRIBUTOR | dogsheep/twitter-to-sqlite/pulls/71 | 206156866 | pull | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/71/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||||
1513238314 | PR_kwDODEm0Qs5GUoN6 | 70 | Archive: Import Twitter Circle data | 26161409 | open | 0 | 0 | 2022-12-28T23:33:09Z | 2022-12-28T23:33:09Z | FIRST_TIME_CONTRIBUTOR | dogsheep/twitter-to-sqlite/pulls/70 | 206156866 | pull | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/70/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||||
1513238152 | PR_kwDODEm0Qs5GUoMM | 69 | Archive: Import new tweets table name | 26161409 | open | 0 | 0 | 2022-12-28T23:32:44Z | 2022-12-28T23:32:44Z | FIRST_TIME_CONTRIBUTOR | dogsheep/twitter-to-sqlite/pulls/69 | Given the code here, it seems like in the past this file was named "tweet.js". In recent exports, it's named "tweets.js". The archive importer needs to be modified to take this into account. Existing logic is reused for importing this table. (However, the resulting table name will be different, matching the different file name -- archive_tweets, rather than archive_tweet). | 206156866 | pull | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/69/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1513237982 | PR_kwDODEm0Qs5GUoKL | 68 | Archive: Import mute table | 26161409 | open | 0 | 0 | 2022-12-28T23:32:06Z | 2022-12-28T23:32:06Z | FIRST_TIME_CONTRIBUTOR | dogsheep/twitter-to-sqlite/pulls/68 | 206156866 | pull | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/68/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||||
1513237712 | PR_kwDODEm0Qs5GUoG_ | 67 | Add support for app-only bearer tokens | 26161409 | open | 0 | 0 | 2022-12-28T23:31:20Z | 2022-12-28T23:31:20Z | FIRST_TIME_CONTRIBUTOR | dogsheep/twitter-to-sqlite/pulls/67 | Previously, twitter-to-sqlite only supported OAuth1 authentication, and the token must be on behalf of a user. However, Twitter also supports application-only bearer tokens, documented here: https://developer.twitter.com/en/docs/authentication/oauth-2-0/bearer-tokens This PR adds support to twitter-to-sqlite for using application-only bearer tokens. To use, the auth.json file just needs to contain a "bearer_token" key instead of "api_key", "api_secret_key", etc. | 206156866 | pull | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/67/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1762180409 | I_kwDOBm6k_c5pCL05 | 2085 | Interactive row selection in Datasette | 24938923 | open | 0 | 0 | 2023-06-18T08:29:45Z | 2023-06-18T08:31:23Z | NONE | Simon did a excellent [prototype](https://til.simonwillison.net/datasette/row-selection-prototype) of an interactive row selection in Datasette. I hope this [functionality](https://camo.githubusercontent.com/3d4a0f31fb6a27fd279f809af5b53dc3b76faa63c7721e228951c5252b645a77/68747470733a2f2f7374617469632e73696d6f6e77696c6c69736f6e2e6e65742f7374617469632f323032332f6461746173657474652d7069636b65722e676966) can be turned into a Datasette plugin. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2085/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
797097140 | MDU6SXNzdWU3OTcwOTcxNDA= | 60 | Use Data from SQLite in other commands | 22578954 | open | 0 | 3 | 2021-01-29T18:35:52Z | 2021-02-12T18:29:43Z | CONTRIBUTOR | As a total beginner here how could you access data from the sqlite table to run other commands. What I am thinking is I want to get all the repos in an organization then using the repo list pull all the commit messages for each repo. I love this project by the way! | 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/60/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1899310542 | I_kwDOBm6k_c5xNS3O | 2187 | Datasette for serving JSON only | 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 | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2187/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1761613778 | I_kwDOBm6k_c5pABfS | 2084 | Support facets for columns that contain timestamps | 19492893 | open | 0 | 0 | 2023-06-17T03:33:54Z | 2023-06-17T03:33:54Z | NONE | Django has this very nice filter for datetime fields - <img width="176" alt="image" src="https://github.com/simonw/datasette/assets/19492893/3c66d7c4-1579-4d30-8f08-89d111f4566e"> 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... <img width="283" alt="image" src="https://github.com/simonw/datasette/assets/19492893/069083e4-13f5-4b28-9473-a7b9d48839ea"> | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2084/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1453134846 | I_kwDOCGYnMM5WnRP- | 513 | Add or document streamlined workflow for importing Datasette csv / json exports | 19328961 | open | 0 | 0 | 2022-11-17T10:54:47Z | 2022-11-17T10:54:47Z | NONE | I'm working on some small front-end enhancements to the laion-aesthetic-datasette project, and I wanted to partially populate a database directly using exports from the existing Datasette instance instead of downloading the parquet files and creating my own multi-GB database. There have been a number of small issues that are certainly related to my relative lack of familiarity with the toolkit, but that are still surprising. For example: a CSV export of the images table (http://laion-aesthetic.datasette.io/laion-aesthetic-6pls.csv?sql=select+rowid%2C+url%2C+text%2C+domain_id%2C+width%2C+height%2C+similarity%2C+punsafe%2C+pwatermark%2C+aesthetic%2C+hash%2C+__index_level_0__+from+images+order+by+random%28%29+limit+100) has nested single quotes, double quotes, and commas that aren't handled by rows_from_file. Similarly, the json output has to be manually transformed to add the column names and remove extraneous information before sqlite_utils can import it. I was able to work through these issues, but as an enhancement it would be really helpful to create or document a clear workflow that avoids the friction of this data transformation. | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/513/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
834602299 | MDU6SXNzdWU4MzQ2MDIyOTk= | 1262 | Plugin hook that could support 'order by random()' for table view | 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. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1262/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
531502365 | MDU6SXNzdWU1MzE1MDIzNjU= | 646 | Make database level information from metadata.json available in the index.html template | 18017473 | open | 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! | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/646/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
|||||||
981690086 | MDExOlB1bGxSZXF1ZXN0NzIxNjg2NzIx | 67 | Replacing step ID key with step_id | 16374374 | open | 0 | 0 | 2021-08-28T01:26:41Z | 2021-08-28T01:27:00Z | FIRST_TIME_CONTRIBUTOR | dogsheep/github-to-sqlite/pulls/67 | Workflows that have an `id` in any step result in the following error when running `workflows`: e.g.`github-to-sqlite workflows github.db nixos/nixpkgs` ```Traceback (most recent call last): File "/usr/local/bin/github-to-sqlite", line 8, in <module> sys.exit(cli()) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1137, in __call__ return self.main(*args, **kwargs) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1062, in main rv = self.invoke(ctx) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1668, in invoke```Traceback (most recent call last): File "/usr/local/bin/github-to-sqlite", line 8, in <module> sys.exit(cli()) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1137, in __call__ return self.main(*args, **kwargs) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1062, in main rv = self.invoke(ctx) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1668, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 763, in invoke return __callback(*args, **kwargs) File "/usr/local/lib/python3.8/dist-packages/github_to_sqlite/cli.py", line 601, in workflows utils.save_workflow(db, repo_id, filename, content) File "/usr/local/lib/python3.8/dist-packages/github_to_sqlite/utils.py", line 865, in save_workflow db["steps"].insert_all( File "/usr/local/lib/python3.8/dist-packages/sqlite_utils/db.py", line 2596, in insert_all self.insert_chunk( File "/usr/local/lib/python3.8/dist-packages/sqlite_utils/db.py", line 2378, in insert_chunk result = self.db.execute(query, params) File "/usr/local/lib/python3.8/dist-packages/sqlite_utils/db.py", line 419, in execute return self.conn.execute(sql, parameters) … | 207052882 | pull | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/67/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
824750134 | MDU6SXNzdWU4MjQ3NTAxMzQ= | 1251 | facet option not appearing when table is big | 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: `&_facet=city_id` to no avail. is there any limit? how can I force the option "facet" to appear for big tables? | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1251/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1900026059 | I_kwDOBm6k_c5xQBjL | 2188 | Plugin Hooks for "compile to SQL" languages | 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: - Logica https://logica.dev - PRQL https://prql-lang.org - Malloy, but not sure if it works with SQLite? https://github.com/malloydata/malloy 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 `datasette-prql` or `datasette-logica` plugin would do: - `prql=` instead of `sql=` - Code editor support (syntax highlighting, autocomplete) - Hide/show SQL | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2188/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1884330740 | PR_kwDOBm6k_c5ZszDF | 2174 | Use $DATASETTE_INTERNAL in absence of --internal | 15178711 | open | 0 | 3 | 2023-09-06T16:07:15Z | 2023-09-08T00:46:13Z | CONTRIBUTOR | simonw/datasette/pulls/2174 | #refs 2157, specifically [this comment](https://github.com/simonw/datasette/issues/2157#issuecomment-1700291967) Passing in `--internal my_internal.db` over and over again can get repetitive. This PR adds a new configurable env variable `DATASETTE_INTERNAL_DB_PATH`. If it's defined, then it takes place as the path to the internal database. Users can still overwrite this behavior by passing in their own `--internal internal.db` flag. In draft mode for now, needs tests and documentation. Side note: Maybe we can have a sections in the docs that lists all the "configuration environment variables" that Datasette respects? I did a quick grep and found: - `DATASETTE_LOAD_PLUGINS` - `DATASETTE_SECRETS` <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--2174.org.readthedocs.build/en/2174/ <!-- readthedocs-preview datasette end --> | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2174/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1865869205 | I_kwDOBm6k_c5vNueV | 2157 | Proposal: Make the `_internal` database persistent, customizable, and hidden | 15178711 | open | 0 | 3 | 2023-08-24T20:54:29Z | 2023-08-31T02:45:56Z | CONTRIBUTOR | The current `_internal` database is used by Datasette core to cache info about databases/tables/columns/foreign keys of databases in a Datasette instance. It's a temporary database created at startup, that can only be seen by the root user. See an [example `_internal` DB here](https://latest.datasette.io/_internal), after [logging in as root](https://latest.datasette.io/login-as-root). The current `_internal` database has a few rough edges: - It's part of `datasette.databases`, so many plugins have to specifically exclude `_internal` from their queries [examples here](https://github.com/search?q=datasette+hookimpl+%22_internal%22+language%3APython+-path%3Adatasette%2F&ref=opensearch&type=code) - It's only used by Datasette core and can't be used by plugins or 3rd parties - It's created from scratch at startup and stored in memory. Why is fine, the performance is great, but persistent storage would be nice. Additionally, it would be really nice if plugins could use this `_internal` database to store their own configuration, secrets, and settings. For example: - `datasette-auth-tokens` [creates a `_datasette_auth_tokens` table](https://github.com/simonw/datasette-auth-tokens/blob/main/datasette_auth_tokens/__init__.py#L15) to store auth token metadata. This could be moved into the `_internal` database to avoid writing to the gues database - `datasette-socrata` [creates a `socrata_imports`](https://github.com/simonw/datasette-socrata/blob/1409aa9b4d2fc3aff286b52e73af33b5786d56d0/datasette_socrata/__init__.py#L190-L198) table, which also can be in `_internal` - `datasette-upload-csvs` [creates a `_csv_progress_`](https://github.com/simonw/datasette-upload-csvs/blob/main/datasette_upload_csvs/__init__.py#L154) table, which can be in `_internal` - `datasette-write-ui` wants to have the ability for users to toggle whether a table appears editable, which can be either in `datasette.yaml` or on-the-fly by storing config in `_internal` In general, these are specific features that Datasette plugins wou… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2157/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1864112887 | PR_kwDOBm6k_c5Yo7bk | 2151 | Test Datasette on multiple SQLite versions | 15178711 | open | 0 | 1 | 2023-08-23T22:42:51Z | 2023-08-23T22:58:13Z | CONTRIBUTOR | simonw/datasette/pulls/2151 | still testing, hope it works! <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--2151.org.readthedocs.build/en/2151/ <!-- readthedocs-preview datasette end --> | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2151/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
1 | ||||||
1855885427 | I_kwDOBm6k_c5unpBz | 2143 | De-tangling Metadata before Datasette 1.0 | 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: 1. Metadata cannot be updated without re-starting the entire Datasette instance. 2. The `metadata.json`/`metadata.yaml` has become a kitchen sink of unrelated (imo) features like plugin config, authentication config, canned queries 3. The Python APIs for defining extra metadata are a bit awkward (the `datasette.metadata()` class, `get_metadata()` hook, etc.) ## Possible solutions Here's a few ideas of Datasette core changes we can make to address these problems. ### Re-vamp the Datasette Python metadata APIs The Datasette object has a single `datasette.metadata()` method that's a bit difficult to work with. There's also no Python API for inserted new metadata, so plugins have to rely on the `get_metadata()` hook. The `get_metadata()` hook can also be improved - it doesn't work with async functions yet, so you're quite limited to what you can do. (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 `datasette_metadata` table Datasette should detect and use metadata stored in a new special table called `datasette_metadata`. This would be a regular table that a user can edit on their own, and would serve as a "live updating" source of metadata, than can be changed while the Datasette instance is running. Not too sure what the schema would look like, but I'd imagine: ```sql CREATE TABLE datasette_metadata( level text, target any, key text, value any, primary key (level, target) ) ``` Every row… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2143/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1821108702 | I_kwDOCGYnMM5si-ne | 579 | Special handling for SQLite column of type `JSON` | 15178711 | open | 0 | 0 | 2023-07-25T20:37:23Z | 2023-07-25T20:37:23Z | CONTRIBUTOR | `sqlite-utils` should detect and have specially handling for column with a `JSON` column. For example: ```sql CREATE TABLE "dogs" ( id INTEGER PRIMARY KEY, name TEXT, friends JSON ); ``` ## Automatic Nesting According to ["Nested JSON Values"](https://sqlite-utils.datasette.io/en/stable/cli.html#nested-json-values), sqlite-utils will only expand JSON if the `--json-cols` flag is passed. It looks like it'll try to `json.load` all text column to test if its JSON, which can get expensive on non-json columns. Instead, `sqlite-utils` should be default (ie without the `--json-cols` flags) do the `maybe_json()` operation on columns with a declared `JSON` type. So the above table would expand the `"friends"` column as expected, withoutthe `--json-cols` flag: ```bash sqlite-utils dogs.db "select * from dogs" | python -mjson.tool ``` ``` [ { "id": 1, "name": "Cleo", "friends": [ { "name": "Pancakes" }, { "name": "Bailey" } ] } ] ``` --- I'm sure there's other ways `sqlite-utils` can specially handle JSON columns, so keeping this open while I think of more | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/579/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1783304750 | I_kwDOBm6k_c5qSxIu | 2094 | JS Plugin Hooks for the Code Editor | 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 [`sqlite-docs`](https://github.com/asg017/sqlite-docs), to add things like: - Inline documentation for tables/columns on hover - Inline docs for custom functions that are loaded in - More detailed autocomplete for tables/columns/functions I did some hacking to see what this would look like, see here: <img width="1223" alt="image" src="https://github.com/simonw/datasette/assets/15178711/64f95cbc-1492-4365-896f-b88c6d08a649"> <img width="1223" alt="image" src="https://github.com/simonw/datasette/assets/15178711/73e602ba-5f45-417a-997e-5aea1738527a"> There can be a new hook that allows JS plugins to add new "extension" in the CodeMirror editorview here: https://github.com/simonw/datasette/blob/8cd60fd1d899952f1153460469b3175465f33f80/datasette/static/cm-editor-6.0.1.js#L25 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 `"@codemirror/autocomplete"`, for example. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2094/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1781530343 | I_kwDOBm6k_c5qL_7n | 2093 | Proposal: Combine settings, metadata, static, etc. into a single `datasette.yaml` File | 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 `--setting` flag, inside `metadata.json`, or an env var? If I want to up the time limit of SQL statements, is that under `metadata.json` or a setting? Where does my plugin configuration go? 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. - Flat CLI flags like `--port`, `--host`, `--cors`, etc. - `--setting`, like `default_page_size`, `sql_time_limit_ms` etc - Inside `metadata.json`, including plugin configuration Typically my Datasette deploys are extremely long shell commands, with multiple `--setting` and other CLI flags. ## Proposal: Consolidate all "config" into `datasette.toml` I propose that we add a new `datasette.toml` that combines "settings", "metadata", and other common CLI flags like `--port` and `--cors` into a single file. It would be similar to "Cargo.toml" in Rust projects, "package.json" in Node projects, and "pyproject.toml" in Python, etc. A sample of what it could look like: ```toml # "top level" configuration that are currently CLI flags on `datasette serve` [config] port = 8020 host = "0.0.0.0" cors = true # replaces multiple `--setting` flags [settings] base_url = "/app/datasette/" default_allow_sql = true sql_time_limit_ms = 3500 # replaces `metadata.json`. # The contents of datasette-metadata.json could be defined in this file instead, but supporting separate files is nice (since those are easy to machine-generate) [metadata] include="./datasette-metadata.json" # plugin-specific [plugins] [plugins.datasette-auth-github] client_id = {env = "DATASETTE_AUTH_GITHUB_CLIENT_ID"} client_secret = {env = "GITHUB_CLIENT_SECRET"} [plugins.datasette-cluster-map] latitude_column = "lat" longitude_column = "lon" ``` ## Pros - Instead of multiple files and CLI flags, everything could b… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2093/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1620515757 | I_kwDOBm6k_c5glxut | 2039 | Subtle bug with `--load-extension` and `--static` flags with absolute Windows paths with`C:\` | 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: ``` datasette --load-extension="C:\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll" ``` This failed with `"The specified module could not be found"`, because the entrypoint option introduced in #1789 splits the input differently. Instead of loading the extension found at `"C:\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll"`, it instead tried to load the extension at `"C"` with entrypoint `"\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll". This is hard because most absolute windows paths have a colon in them, like `C:\foo.txt` or `D:\bar.txt`. I'd image the `--static` flag is also vulnerable to this type of bug. The "solution" is to use a relative path instead, but that doesn't feel that great. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2039/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1060631257 | I_kwDOBm6k_c4_N_LZ | 1528 | Add new `"sql_file"` key to Canned Queries in metadata? | 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 `metadata.yaml` like so: ```yaml databases: fixtures: queries: neighborhood_search: sql: |- select neighborhood, facet_cities.name, state from facetable join facet_cities on facetable.city_id = facet_cities.id where neighborhood like '%' || :text || '%' order by neighborhood title: Search neighborhoods ``` This works fine, but for a few reasons, I usually have my canned queries already written in separate `.sql` files. I'd like to instead re-use those instead of re-writing it. So, I'd like to see a new `"sql_file"` key that works like so: `metadata.yaml`: ```yaml databases: fixtures: queries: neighborhood_search: sql_file: neighborhood_search.sql title: Search neighborhoods ``` `neighborhood_search.sql`: ```sql select neighborhood, facet_cities.name, state from facetable join facet_cities on facetable.city_id = facet_cities.id where neighborhood like '%' || :text || '%' order by neighborhood ``` Both of these would work in the exact same way, where Datasette would instead open + include `neighborhood_search.sql` on startup. A few reasons why I'd like to keep my canned queries SQL separate from metadata.yaml: - Keeping SQL in standalone SQL files means syntax highlighting and other text editor integrations in my code - Multiline strings in yaml, while functional, are a tad cumbersome and are hard to edit - Works well with other tools (can pipe `.sql` files into the `sqlite3` CLI, or use with other SQLite clients easier) - Typically my canned queries are quite long compared to everything else in my metadata.yaml, so I'd love to separate it where possible 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! | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1528/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
751195017 | MDU6SXNzdWU3NTExOTUwMTc= | 1111 | Accessing a database's `.json` is slow for very large SQLite files | 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 `.json` metadata for a table (which I believe it comes from `datasette/views/database.py`, it takes 43 seconds for the request to come in: ```bash $ time curl localhost:9999/out.json {"database": "out", "size": 24291454976, "tables": [{"name": "PageviewsHour", "columns": ["file", "code", "page", "pageviews"], "primary_keys": [], "count": null, "hidden": false, "fts_table": null, "foreign_keys": {"incoming": [], "outgoing": [{"other_table": "PageviewsHourFiles", "column": "file", "other_column": "file_id"}]}, "private": false}, {"name": "PageviewsHourFiles", "columns": ["file_id", "filename", "sha256", "size", "day", "hour"], "primary_keys": ["file_id"], "count": null, "hidden": false, "fts_table": null, "foreign_keys": {"incoming": [{"other_table": "PageviewsHour", "column": "file_id", "other_column": "file"}], "outgoing": []}, "private": false}, {"name": "sqlite_sequence", "columns": ["name", "seq"], "primary_keys": [], "count": 1, "hidden": false, "fts_table": null, "foreign_keys": {"incoming": [], "outgoing": []}, "private": false}], "hidden_count": 0, "views": [], "queries": [], "private": false, "allow_execute_sql": true, "query_ms": 43340.23213386536} real 0m43.417s user 0m0.006s sys 0m0.016s ``` I suspect this is because a `COUNT(*)` is happening under the hood, which, when I run it through sqlite directly, does take around the same time: ```bash $ time sqlite3 out.db < <(echo "select count(*) from PageviewsHour;") 362794272 real 0m44.523s user 0m2.497s sys 0m6.703s ``` I'm using the `.json` request in the [Observable Datasette Client](https://observablehq.com/@asg017/datasette-client) to 1) verify that a link passed in is a reachable Datasette instance, and 2) a quick way to look at metadata for a db. A few differe… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1111/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1727478903 | I_kwDOBm6k_c5m9zx3 | 2081 | Update Endpoints defined in metadata throws 403 Forbidden after a while | 15085007 | open | 0 | 0 | 2023-05-26T11:52:30Z | 2023-05-26T11:52:30Z | NONE | Hello. I expose an endpoint to update `tasks`: ``` { "title": "My Datasette Instance", "databases": { "tasks": { "queries": { "update_task": { "sql": "UPDATE tasks SET status = :status, result = :result, systemMessage = :systemMessage WHERE queueID = :queueID", "write": true, "on_success_message": "Task updated", "on_success_redirect": "/tasks/tasks.json", "on_error_message": "Task update failed", "on_error_redirect": "/tasks.json", "params": ["queueID", "taskData", "status", "result", "systemMessage"] } } } } } ``` 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? (´。_。`) | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2081/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1557599877 | I_kwDODFE5qs5c1xaF | 12 | location history changes | 14809320 | open | 0 | 0 | 2023-01-26T03:57:25Z | 2023-01-26T03:57:25Z | NONE | not sure if each download is unique, but I had to change some things to work with the takeout zip I made 2023-01-25 filename changed from "Location History.json" to "Records.json" `"timestampMs"` is not present, `"timestamp"` is roughly iso timestamp ```py def get_timestamp_ms(raw_timestamp): try: return datetime.datetime.strptime(raw_timestamp, "%Y-%m-%dT%H:%M:%SZ").timestamp() except ValueError: return datetime.datetime.strptime(raw_timestamp, "%Y-%m-%dT%H:%M:%S.%fZ").timestamp() def save_location_history(db, zf): location_history = json.load( zf.open("Takeout/Location History/Records.json") ) db["location_history"].upsert_all( ( { "id": id_for_location_history(row), "latitude": row["latitudeE7"] / 1e7, "longitude": row["longitudeE7"] / 1e7, "accuracy": row["accuracy"], "timestampMs": get_timestamp_ms(row["timestamp"]), "when": row["timestamp"], } for row in location_history["locations"] ), pk="id", ) def id_for_location_history(row): # We want an ID that is unique but can be sorted by in # date order - so we use the isoformat date + the first # 6 characters of a hash of the JSON first_six = hashlib.sha1( json.dumps(row, separators=(",", ":"), sort_keys=True).encode("utf8") ).hexdigest()[:6] return "{}-{}".format( row['timestamp'], first_six, ) ``` example locations from mine ```json { "latitudeE7": 427220206, "longitudeE7": -923423972, "accuracy": 10, "deviceTag": -1312429967, "deviceDesignation": "PRIMARY", "timestamp": "2019-01-08T23:31:50.867Z" } ``` ```json { "latitudeE7": 427011317, "longitudeE7": -923448300, "accuracy": 5, "deviceTag": -1312429967, "deviceDesignation": "PRIMARY", "timestamp": "2019-01-08T23:33:53Z" }, ``` | 206649770 | issue | { "url": "https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/12/reactions", "total_count": 2, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 2 } |
||||||||
1650984552 | PR_kwDOJHON9s5NbyYN | 13 | use universal command | 14314871 | open | 0 | 0 | 2023-04-02T15:10:54Z | 2023-04-02T15:37:34Z | FIRST_TIME_CONTRIBUTOR | dogsheep/apple-notes-to-sqlite/pulls/13 | 611552758 | pull | { "url": "https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/13/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||||
1650981564 | I_kwDOJHON9s5iZ_q8 | 12 | Error running pytest | 14314871 | open | 0 | 0 | 2023-04-02T15:02:36Z | 2023-04-02T15:07:10Z | NONE | `______________________________________________________ ERROR collecting tests/test_apple_notes_to_sqlite.py _______________________________________________________ ImportError while importing test module '/Users/lol/development/apple-notes-to-sqlite/tests/test_apple_notes_to_sqlite.py'. Hint: make sure your test modules/packages have valid Python names. Traceback: /opt/homebrew/Cellar/python@3.9/3.9.16/Frameworks/Python.framework/Versions/3.9/lib/python3.9/importlib/__init__.py:127: in import_module return _bootstrap._gcd_import(name[level:], package, level) tests/test_apple_notes_to_sqlite.py:2: in <module> from apple_notes_to_sqlite.cli import cli, COUNT_SCRIPT, FOLDERS_SCRIPT E ModuleNotFoundError: No module named 'apple_notes_to_sqlite'` Solution: This is likely a PYTHONPATH issue due to having pytest installed both globally and in the venv. We can guarantee the tests run by adding the current directory to sys.path automatically using `python -m pytest` The alternative is to activate the venv, install pytest, deactivate, then activate the venv again (https://stackoverflow.com/questions/35045038/how-do-i-use-pytest-with-virtualenv) | 611552758 | issue | { "url": "https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/12/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
915421499 | MDU6SXNzdWU5MTU0MjE0OTk= | 267 | row.update() or row.pk | 12721157 | open | 0 | 4 | 2021-06-08T19:56:00Z | 2021-06-22T17:27:27Z | NONE | Hi, fantastic framework for working with Sqlite3 databases!!! I tried to update spezific rows in a table and used for row in db[tablename]: newValue = row["counter"] * row["prize"] row.update({"Fieldname": newValue}) print(row) This updates the value in the printet row, but not in the database. So I switched to db[tablename].update(id, {"Filedname": newValue}) This works fine. But row.update would be nicer, because no need for the id (its that row), no need for the tablename and the db (all defined in the for row ... loop). Thx | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/267/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
801780625 | MDU6SXNzdWU4MDE3ODA2MjU= | 9 | SSL Error | 12669260 | open | 0 | 2 | 2021-02-05T02:12:56Z | 2021-02-07T18:45:04Z | NONE | Here's the error I get when running `pip install pocket-to-sqlite`: ``` Could not fetch URL https://pypi.python.org/simple/pocket-to-sqlite/: There was a problem confirming the ssl certificate: [SSL: TLSV1_ALERT_PROTOCOL_VERSION] tlsv1 alert protocol version (_ssl.c:661) - skipping Could not find a version that satisfies the requirement pocket-to-sqlite (from versions: ) No matching distribution found for pocket-to-sqlite ``` Does this require python 3? | 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/9/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
510076368 | MDU6SXNzdWU1MTAwNzYzNjg= | 605 | Support queries at the table level | 12617395 | open | 0 | 2 | 2019-10-21T15:58:30Z | 2019-10-30T18:55:37Z | NONE | Per the issue described in [issue #588](https://github.com/simonw/datasette/issues/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. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/605/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
359075028 | MDExOlB1bGxSZXF1ZXN0MjE0NjUzNjQx | 364 | Support for other types of databases using external connectors | 11912854 | open | 0 | 0 | 2018-09-11T14:31:47Z | 2018-09-11T14:31:47Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/364 | This PR is related to #293, but now all commits have been merged. The purpose is to support other file formats that aren't SQLite, like files with PyTables format. I've tried to accomplish that using external connectors published with entry points. The modifications in the original datasette code are minimal and many are in a separated file. | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/364/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
319449852 | MDU6SXNzdWUzMTk0NDk4NTI= | 247 | SQLite code decoupled from Datasette | 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](https://github.com/PyTables/PyTables) format. In order to accomplish that, I've started [a fork for decoupling the code related with SQLite](https://github.com/jsancho-gpl/datasette/tree/feature/db-type-plugin) 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. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/247/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
803356942 | MDU6SXNzdWU4MDMzNTY5NDI= | 1218 | /usr/local/opt/python3/bin/python3.6: bad interpreter: No such file or directory | 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 ``` | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1218/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
803338729 | MDU6SXNzdWU4MDMzMzg3Mjk= | 33 | photo-to-sqlite: command not found | 11855322 | open | 0 | 4 | 2021-02-08T08:42:57Z | 2021-02-12T15:00:44Z | NONE | Having installed in a venv I get: ``` (venv) (base) Robins-MacBook:datasette robin$ photo-to-sqlite apple-photos photos.db -bash: photo-to-sqlite: command not found ``` | 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/33/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
803333769 | MDU6SXNzdWU4MDMzMzM3Njk= | 32 | KeyError: 'Contents' on running upload | 11855322 | open | 0 | 3 | 2021-02-08T08:36:37Z | 2021-07-22T06:40:25Z | NONE | Following the readme, on big sur, and having entered my auth creds via `dogsheep-photos s3-auth`: ``` (venv) (base) Robins-MacBook:datasette robin$ dogsheep-photos upload photos.db ~/Pictures/Photos\ /Users/robin/Pictures/Library.photoslibrary --dry-run Fetching existing keys from S3... Traceback (most recent call last): File "/Users/robin/datasette/venv/bin/dogsheep-photos", line 8, in <module> sys.exit(cli()) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/cli.py", line 96, in upload key.split(".")[0] for key in get_all_keys(client, creds["photos_s3_bucket"]) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/utils.py", line 46, in get_all_keys for row in page["Contents"]: KeyError: 'Contents' ``` Possibly since the bucket is in `EU (London) eu-west-2` and this into is not requested? | 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/32/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
795367402 | MDU6SXNzdWU3OTUzNjc0MDI= | 1209 | v0.54 500 error from sql query in custom template; code worked in v0.53; found a workaround | 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:** CREATE TABLE "talks" ("talk" TEXT,"series" INTEGER, "talkdate" TEXT) CREATE TABLE "series" ("id" INTEGER PRIMARY KEY, "series" TEXT, talks_list TEXT default '', website TEXT default ''); **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 `metadata.json` specifies the `datasette-template-sql` plugin. The code below worked perfectly in v0.53 (just the relevant sql statement part is shown; full code is [here](https://github.com/jrdmb/cosmotalks-datasette/blob/main/templates/row-cosmotalks-talks.html)): ``` {# custom addition #} {% for row in display_rows %} ... {% set sname = sql("select series from series where id = ?", [row.series]) %} <strong>Series name: {{ sname[0].series }} ... {% endfor %} {# End of custom addition #} ``` **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](https://github.com/simonw/datasette-template-sql#querying-a-different-database) to add the database name to the sql statement: `{% set sname = sql("select series from series where id = ?", [row.series], database="cosmotalks") %}` Though this was found to work, it should not be necessary to add `database="cosmotalks"` since per the `datasette-template-sql` README, it's only needed when querying a different database, but here it's a table within the same databa… | 107914493 | issue | |||||||||
702386948 | MDU6SXNzdWU3MDIzODY5NDg= | 159 | .delete_where() does not auto-commit (unlike .insert() or .upsert()) | 11712349 | open | 0 | 9 | 2020-09-16T01:55:52Z | 2023-04-01T17:21:05Z | NONE | When you use the delete_where() function on a table, it never commits.... Is that intentional? | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/159/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1955676270 | I_kwDOBm6k_c50kUBu | 2201 | Discord invite link is invalid | 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: <img width="448" alt="CleanShot 2023-10-21 at 14 49 45@2x" src="https://github.com/simonw/datasette/assets/11708906/a126cbf6-0a4d-41b8-9986-7567d40d453f"> | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2201/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1236693079 | I_kwDOCGYnMM5JtnBX | 432 | Support `rows_where()`, `delete_where()` etc for attached alias databases | 11597658 | open | 0 | 5 | 2022-05-16T06:38:58Z | 2022-06-14T22:16:48Z | NONE | Hi, I noticed `rows_where()` doesn't return any rows from tables which are from attached databases. The `exists()` function returns false. As far as I can see this is because the `table_names()` function only looks for table names in the current database and not in attached (or temp) databases. Besides, `rows_where()`, also `insert_all()` and `delete_where()` didn't do what I was expecting because of this. For the moment I've patched `table_names()` for myself, see below but I'm not sure what the total impact is on the other functions like lookup truncate etc which all use `exists()`. Also `view_names()` doesn't look for views in attached or temp databases. ```python def table_names(self, fts4: bool = False, fts5: bool = False) -> List[str]: "A list of string table names in this database." where = ["type = 'table'"] if fts4: where.append("sql like '%USING FTS4%'") if fts5: where.append("sql like '%USING FTS5%'") dbs = [x[1] for x in self.execute('pragma database_list').fetchall()] lst=[] for db in dbs: sql = "select name from {} where {}".format(db+".sqlite_master"," AND ".join(where)) lst.extend(r[0] for r in self.execute(sql).fetchall()) return lst ``` | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/432/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1082651698 | I_kwDOCGYnMM5Ah_Qy | 358 | Support for CHECK constraints | 11597658 | open | 0 | 7 | 2021-12-16T21:19:45Z | 2022-09-25T07:15:59Z | NONE | Hi, I noticed the `transform.table()` method doesn't have an option to add/change or drop a check constraint (see https://sqlite.org/lang_createtable.html -> 3.7 Check Constraints. would be great to have this as an option! | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/358/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1536851861 | I_kwDOBm6k_c5bmn-V | 1994 | Stuck on loading screen | 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 ``` bin/python3.9 --version Python 3.9.6 Took 83ms bin/python3.9 --version Python 3.9.6 Took 113ms bin/pip install datasette>=0.59 datasette-app-support>=0.11.6 datasette-vega>=0.6.2 datasette-cluster-map>=0.17.1 datasette-pretty-json>=0.2.1 datasette-edit-schema>=0.4 datasette-configure-fts>=1.1 datasette-leaflet>=0.2.2 --disable-pip-version-check Requirement already satisfied: datasette>=0.59 in lib/python3.9/site-packages (0.63) Requirement already satisfied: datasette-app-support>=0.11.6 in lib/python3.9/site-packages (0.11.6) Requirement already satisfied: datasette-vega>=0.6.2 in lib/python3.9/site-packages (0.6.2) Requirement already satisfied: datasette-cluster-map>=0.17.1 in lib/python3.9/site-packages (0.17.2) Requirement already satisfied: datasette-pretty-json>=0.2.1 in lib/python3.9/site-packages (0.2.2) Requirement already satisfied: datasette-edit-schema>=0.4 in lib/python3.9/site-packages (0.5.1) Requirement already satisfied: datasette-configure-fts>=1.1 in lib/python3.9/site-packages (1.1) Requirement already satisfied: datasette-leaflet>=0.2.2 in lib/python3.9/site-packages (0.2.2) Requirement already satisfied: click>=7.1.1 in lib/python3.9/site-packages (from datasette>=0.59) (8.1.3) Requirement already satisfied: hupper>=1.9 in lib/python3.9/site-packages (from datasette>=0.59) (1.10.3) Requirement already satisfied: pint>=0.9 in lib/python3.9/site-packages (from datasette>=0.59) (0.20.1) Requirement already satisfied: PyYAML>=5.3 in lib/python3.9/site-packages (from datasette>=0.59) (6.0) Requirement already satisfied: httpx>=0.20 in lib/python3.9/site-packages (from datasette>=0.59) (0.23.0) Requirement already satisfied: aiofiles>=0.4 in lib/python3.9/site-packages (from datasette>=0.59) (22.1.0) Requirement already satisfied: asgi-csrf>=0.9 in lib/python3.9/site-packages (from datasette>=0.59) (0.9) Requirement already satisfied: asgiref>=3.2.10 in lib/python3.9/site-packages… | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1994/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1734786661 | PR_kwDOBm6k_c5R0fcK | 2082 | Catch query interrupted on facet suggest row count | 10843208 | open | 0 | 0 | 2023-05-31T18:42:46Z | 2023-05-31T18:45:26Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/2082 | Just like facet's `suggest()` is trapping `QueryInterrupted` for facet columns, we also need to trap `get_row_count()`, which can reach timeout if database tables are big enough. I've included `get_columns()` inside the block as that's just another query, despite it's a really cheap one and might never raise the exception. <!-- readthedocs-preview datasette start --> ---- :books: Documentation preview :books:: https://datasette--2082.org.readthedocs.build/en/2082/ <!-- readthedocs-preview datasette end --> | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/2082/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1733198948 | I_kwDOCGYnMM5nToRk | 555 | Filter table by a large bunch of ids | 10843208 | open | 0 | 1 | 2023-05-31T00:29:51Z | 2023-06-14T22:01:57Z | NONE | Hi! this might be a question related to both SQLite & sqlite-utils, and you might be more experienced with them. I have a large bunch of ids, and I'm wondering which is the best way to query them in terms of performance, and simplicity if possible. The naive approach would be something like `select * from table where rowid in (?, ?, ?...)` but that wouldn't scale if ids are >1k. Another approach might be creating a temp table, or in-memory db table, insert all ids in that table and then join with the target one. I failed to attach an in-memory db both using sqlite-utils, and plain sql's execute(), so my closest approach is something like, ```python def filter_existing_video_ids(video_ids): db = get_db() # contains a "videos" table db.execute("CREATE TEMPORARY TABLE IF NOT EXISTS tmp (video_id TEXT NOT NULL PRIMARY KEY)") db["tmp"].insert_all([{"video_id": video_id} for video_id in video_ids]) for row in db["tmp"].rows_where("video_id not in (select video_id from videos)"): yield row["video_id"] db["tmp"].drop() ``` That kinda worked, I couldn't find an option in sqlite-utils's `create_table()` to tell it's a temporary table. Also, `tmp` table is not dropped finally, neither using `.drop()` despite being created with the keyword `TEMPORARY`. I believe it should be automatically dropped after connection/session ends though I read. | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/555/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
904598267 | MDExOlB1bGxSZXF1ZXN0NjU1NzQxNDI4 | 1348 | DRAFT: add test and scan for docker images | 10801138 | open | 0 | 2 | 2021-05-28T03:02:12Z | 2021-05-28T03:06:16Z | CONTRIBUTOR | simonw/datasette/pulls/1348 | **NOTE: I don't think this PR is ready, since the arm/v6 and arm/v7 images are failing pytest due to missing dependencies (gcc and friends). But it's pretty close.** Closes https://github.com/simonw/datasette/issues/1344 . Using a build-matrix for the platforms and [this test](https://github.com/simonw/datasette/issues/1344#issuecomment-849820019), we test all the platforms in parallel. I also threw in container scanning. ### Switch `pip install` to use either tags or commit shas Notably! This also [changes the Dockerfile](https://github.com/blairdrummond/datasette/blob/7fe5315d68e04fce64b5bebf4e2d7feec44f8546/Dockerfile#L20) so that it accepts tags or commit-shas. ``` # It's backwards compatible with tags, but also lets you use shas root@712071df17af:/# pip install git+git://github.com/simonw/datasette.git@0.56 Collecting git+git://github.com/simonw/datasette.git@0.56 Cloning git://github.com/simonw/datasette.git (to revision 0.56) to /tmp/pip-req-build-u6dhm945 Running command git clone -q git://github.com/simonw/datasette.git /tmp/pip-req-build-u6dhm945 Running command git checkout -q af5a7f1c09f6a902bb2a25e8edf39c7034d2e5de Collecting Jinja2<2.12.0,>=2.10.3 Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB) ``` This le… | 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1348/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
793907673 | MDExOlB1bGxSZXF1ZXN0NTYxNTEyNTAz | 15 | added try / except to write_records | 9857779 | open | 0 | 0 | 2021-01-26T03:56:21Z | 2021-01-26T03:56:21Z | FIRST_TIME_CONTRIBUTOR | dogsheep/healthkit-to-sqlite/pulls/15 | to keep the data write from failing if it came across an error during processing. In particular when trying to convert my HealthKit zip file (and that of my wife's) it would consistently error out with the following: ``` db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: too many SQL variables --------------------------------------------------------------------------------------------------------------------------------------------------------------------- db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: too many SQL variables --------------------------------------------------------------------------------------------------------------------------------------------------------------------- db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: table rBodyMass has no column named metadata_HKWasUserEntered --------------------------------------------------------------------------------------------------------------------------------------------------------------------- healthkit-to-sqlite 8 <module> sys.exit(cli()) core.py 829 __call__ return self.main(*args, **kwargs) core.py 782 main rv = self.invoke(ctx) core.py 1066 invoke return ctx.invoke(self.callback, **ctx.params) core.py 610 invoke return callback(*args, **kwargs) cli.py 57 cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) utils.py 42 convert_xml_to_sqlite write_records(records, db) utils.py 143 write_records db[table].insert_all( db.py 1899 insert_all self.insert_chunk( db.py 1720 insert_chunk self.insert_chunk( db.py 1720 insert_chunk self.insert_chunk( db.py 1714 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.co… | 197882382 | pull | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/15/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1224112817 | I_kwDOCGYnMM5I9nqx | 430 | Document how to use `PRAGMA temp_store` to avoid errors when running VACUUM against huge databases | 9308268 | open | 0 | 2 | 2022-05-03T13:33:58Z | 2022-06-14T23:26:37Z | NONE | I'm trying to figure out a way to get the `table.extract()` method to complete successfully -- I'm not sure if maybe the cause (and a possible solution) of this on Ubuntu Server 22.04 is to adjust some of the PRAGMA values within SQLite itself ... on another Linux system (PopOS), using this method on this same database appears to work just fine. Here's the bit that's causing the error, and the resulting error output: ```python # combine these columns into 1 table "bib_properties" : # best_title # bib_level_code # mat_type # material_code # best_author db["circ_trans"].extract( ["best_title", "bib_level_code", "mat_type", "material_code", "best_author"], table="bib_properties", fk_column="bib_properties_id" ) db["circ_trans"].extract( ["call_number"], table="call_number", fk_column="call_number_id", rename={"call_number": "value"} ) ``` ```python --------------------------------------------------------------------------- OperationalError Traceback (most recent call last) Input In [17], in <cell line: 7>() 1 # combine these columns into 1 table "bib_properties" : 2 # best_title 3 # bib_level_code 4 # mat_type 5 # material_code 6 # best_author ----> 7 db["circ_trans"].extract( 8 ["best_title", "bib_level_code", "mat_type", "material_code", "best_author"], 9 table="bib_properties", 10 fk_column="bib_properties_id" 11 ) 13 db["circ_trans"].extract( 14 ["call_number"], 15 table="call_number", 16 fk_column="call_number_id", 17 rename={"call_number": "value"} 18 ) File ~/jupyter/venv/lib/python3.10/site-packages/sqlite_utils/db.py:1764, in Table.extract(self, columns, table, fk_column, rename) 1761 column_order.append(c.name) 1763 # Drop the unnecessary columns and rename lookup column -> 1764 self.transform( 1765 drop=set(columns), 1766 rename={magic_lookup_column:… | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/430/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1174655187 | I_kwDOBm6k_c5GA9DT | 1671 | Filters fail to work correctly against calculated numeric columns returned by SQL views because type affinity rules do not apply | 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/bash echo "\"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" ``` ```bash datasette test.db ``` ![image](https://user-images.githubusercontent.com/9308268/159178745-9c6152f7-eac6-4bf9-bef5-a2d63d3ee13f.png) ![image](https://user-images.githubusercontent.com/9308268/159178824-c8952137-270c-42a4-ad1c-f6ad2c51e499.png) ![image](https://user-images.githubusercontent.com/9308268/159178877-23e00b36-443a-43ef-83e5-e0bdddd3fdcd.png) ![image](https://user-images.githubusercontent.com/9308268/159178918-65922cc7-2514-4735-a72d-4904b99976d4.png) Thanks again and let me know if you want me to provide anything else! | 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 } |
||||||||
863884805 | MDU6SXNzdWU4NjM4ODQ4MDU= | 1304 | Document how to send multiple values for "Named parameters" | 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 ```sql select * from bib where bib.bib_record_num in (1008088,1008092) ``` ```sql select * from bib where bib.bib_record_num in (:bib_record_numbers) ``` ![image](https://user-images.githubusercontent.com/9308268/115558839-2333a480-a281-11eb-85e6-ce3bada79140.png) https://ilsweb.cincinnatilibrary.org/collection-analysis/current_collection-204d100?sql=select%0D%0A++*%0D%0Afrom%0D%0A++bib%0D%0Awhere%0D%0A++bib.bib_record_num+in+%28%3Abib_record_numbers%29&bib_record_numbers=1008088%2C1008092 Or, maybe this isn't a fully supported feature. | 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 } |
||||||||
826064552 | MDU6SXNzdWU4MjYwNjQ1NTI= | 1253 | Capture "Ctrl + Enter" or "⌘ + Enter" to send SQL query? | 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. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1253/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1211283427 | I_kwDODFdgUs5IMrfj | 72 | feature: display progress bar when downloading multi-page responses | 9020979 | open | 0 | 1 | 2022-04-21T16:37:12Z | 2022-04-21T17:29:31Z | NONE | ## Motivation For a long running command (longer than 1 minute) for a big table (like pull requests or commits), it can be tricky to know if the script is still running, or if a rate limit/error was encountered We know how many pages there are, so it may be possible to indicate how many remain. https://github.com/dogsheep/github-to-sqlite/blob/a6e237f75a4b86963d91dcb5c9582e3a1b3349d6/github_to_sqlite/utils.py#L367 ## Resources - Using the existing Click API: - https://click.palletsprojects.com/en/5.x/utils/#showing-progress-bars - Loading spinner: https://github.com/pavdmyt/yaspin - Progress bar: https://github.com/tqdm/tqdm | 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/72/reactions", "total_count": 3, "+1": 3, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1198822563 | I_kwDOBm6k_c5HdJSj | 1706 | [feature] immutable mode for a directory, not just individual sqlite file | 9020979 | open | 0 | 4 | 2022-04-10T00:50:57Z | 2022-12-09T19:11:40Z | CONTRIBUTOR | ## Motivation - I have a directory of sqlite databases - I'd like to use immutable mode when opening them for better performance [docs](https://docs.datasette.io/en/0.54/performance.html#immutable-mode) - Currently using this flag throws the following error IsADirectoryError: [Errno 21] Is a directory: '/name-of-directory' ## Proposal Immutable flag works for both single files and directories datasette -i /folder-of-sqlite-files | 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 } |
||||||||
1182227211 | I_kwDOBm6k_c5Gd1sL | 1692 | [plugins][feature request]: Support additional script tag attributes when loading custom JS | 9020979 | open | 0 | 2 | 2022-03-27T01:16:03Z | 2022-03-30T06:14:51Z | CONTRIBUTOR | ## Motivation - The build system for my new [plugin](https://github.com/hydrosquall/datasette-nteract-data-explorer) has two output JS files, one for browsers that support ES modules, one for browsers that don't. At present, I'm only passing one of them into Datasette. - I'd like to specify the non-es-module script as a fallback for older browsers. I don't want to load it by default, because browsers will only need one, and it's heavy, so for now I'm only supporting modern browsers. 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, `nomodule` and `defer`. My injected scripts should look something like this: ```html <script type="module" src="/index.my-es-module-bundle.js"></script> <script src="/index.my-legacy-fallback-bundle.js" nomodule="" defer></script> ``` ## Proposal To achieve this, I propose additional optional properties to the API accepted by the `extra_js_urls` hook and custom JS field the `metadata.json` [described here](https://docs.datasette.io/en/stable/custom_templates.html#custom-css-and-javascript). Under this API, I'd write something like this to get the above HTML rendered in Datasette. ```json { "extra_js_urls": [ { "url": "/index.my-es-module-bundle.js", "module": true, }, { "url": "/index.my-legacy-fallback-bundle.js", "nomodule": "", "defer": true } ] } ``` ## Resources - [MDN on the script tag](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/script) - There may be other properties that could be added that are potentially valuable, like `async` or `referrerpolicy`, but I don't have an immediate need for those. | 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 } |
||||||||
1383646615 | I_kwDOCGYnMM5SeMWX | 491 | Ability to merge databases and tables | 8904453 | open | 0 | 7 | 2022-09-23T11:10:55Z | 2023-06-14T22:14:24Z | NONE | Hi! Let me firstly say that I am a big fan of your work -- I follow your tweets and blog posts with great interest 😄. Now onto the matter at hand: I think it would be great if `sqlite-utils` included a `merge` or `combine` command, with the purpose of combining different SQLite databases into a single SQLite database. This way, the newly "merged" database would contain all differently named tables contained in the databases to be merged as-is, as well a concatenation of all tables of the same name. This could look something like this: ```bash sqlite-utils merge cats.db dogs.db > animals.db ``` I imagine this is rather straightforward if all databases involved in the merge contain differently named tables (i.e. no chance of conflicts), but things get slightly more complicated if two or more of the databases to be merged contain tables with the same name. Not only do you have to "do something" with the primary key(s), but these tables could also simply have different schemas (and therefore be incompatible for concatenation to begin with). Anyhow, I would love your thoughts on this, and, if you are open to it, work together on the design and implementation! | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/491/reactions", "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1751214236 | I_kwDOC8SPRc5oYWic | 36 | Getting sqlite_master may not be modified when creating dogsheep index | 8711912 | open | 0 | 0 | 2023-06-11T03:21:53Z | 2023-06-11T03:21:53Z | NONE | When creating a `dogsheep` index from `config.yml` file on pocket.db (created using pocket-to-sqlite), I am getting this error ``` Traceback (most recent call last): File "/Users/khushmeeet/.pyenv/versions/3.11.2/bin/dogsheep-beta", line 8, in <module> sys.exit(cli()) ^^^^^ File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py", line 1130, in __call__ return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py", line 1055, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py", line 1657, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py", line 760, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/dogsheep_beta/cli.py", line 36, in index run_indexer( File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/dogsheep_beta/utils.py", line 32, in run_indexer ensure_table_and_indexes(db, tokenize) File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/dogsheep_beta/utils.py", line 91, in ensure_table_and_indexes table.add_foreign_key(*fk) File "/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/sqlite_utils/db.py", line 2155, in add_foreign_key self.db.add_foreign_keys([(self.name, column, other_table, other_column)]) File "/Users/khushmeeet/.pyenv/vers… | 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/36/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
892383270 | MDExOlB1bGxSZXF1ZXN0NjQ1MTAwODQ4 | 12 | Recovering of malformed ENEX file | 8431437 | open | 0 | 0 | 2021-05-15T07:49:31Z | 2021-05-15T19:57:50Z | FIRST_TIMER | dogsheep/evernote-to-sqlite/pulls/12 | Hey .. Awesome work developing this project, that I found very useful to me and saved me some work.. Thanks.. :) Some background to this PR... I've been searching around for a tool allowing me to transforming my personal collection of Evernote notes to a format easier to search and potentially easier import to future services. Now I discovered problem processing my large data ~5GB using the existing source using Pythons builtin xml-parser that unfortunately was unable to succeed without exception breaking the process. My first attempt I tried to adapt to more robust lxml package allowing huge data and with "recover", but even if it worked better it also failed processing the whole data. Even using the memory efficient etree.iterparse() it also unfortunately got into trouble. And with no luck finding any other libraries successfully parsing this enormous file I instead chose to build a "hugexmlparser" module that allows parsing this huge file using yield (on a byte-to-byte-level) and allows you to set a maximum size for <note> to cater for potential malformed or undesirable large attachments to export, should succeed covering potential exceptions. Some cases found where the parses discover malformed XML within <content> so also in those cases try to save as much as possible by escaping (to be dealt at a later stage, better than nothing), and if a missing end </note> before new (malformed?) it would add this after encounter a new start-tag. The code for the recovery process is a bit rough and for certain room for refactoring, but at the moment is seem to achieve what I wanted. Now with the above we pass this a minor changed version of save_note_recovery() assure the existing works. Also adding this as a new recover-enex command to click and kept the original options. A couple of new tests was added as well to check against using this command. Now this currently works to me, but thought I might share a PR in such as you find use for this yourself or found useful to others finding this rep… | 303218369 | pull | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/12/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1646068413 | I_kwDOBm6k_c5iHQK9 | 2048 | Test failures encountered while packaging for GNU Guix | 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 `datasette`, the test suite produces the following errors: ``` =================================== FAILURES =================================== _________________________ test_row_strange_table_name __________________________ [gw21] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffef099be0> def test_row_strange_table_name(app_client): response = app_client.get( "/fixtures/table~2Fwith~2Fslashes~2Ecsv/3.json?_shape=objects" ) > assert response.status == 200 E assert 400 == 200 E + where 400 = <datasette.utils.testing.TestResponse object at 0x7fffef236a30>.status /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> def test_database_page_for_database_with_dot_in_name(app_client_with_dot): response = app_client_with_dot.get("/fixtures~2Edot.json") > assert response.status == 200 E assert 302 == 200 E + where 302 = <datasette.utils.testing.TestResponse object at 0x7fffef089fa0>.status /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/b… | 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 } |
||||||||
457147936 | MDU6SXNzdWU0NTcxNDc5MzY= | 512 | "about" parameter in metadata does not appear when alone | 7936571 | open | 0 | 3 | 2019-06-17T21:04:20Z | 2019-10-11T15:49:13Z | NONE | Here's an example of metadata I have for one database on datasette. ``` "Records-requests": { "tables": { "Some table": { "about": "This table has data." } } } ``` The text in `about` does not show up when I publish the data. But it shows up after I add a `"source"` parameter in the metadata. Is this intended? | 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 } |
||||||||
451585764 | MDU6SXNzdWU0NTE1ODU3NjQ= | 499 | Accessibility for non-techie newsies? | 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? | 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 } |
||||||||
1405196044 | PR_kwDOCGYnMM5AmYzy | 499 | feat: recreate fts triggers after table transform | 7908073 | open | 0 | 2 | 2022-10-11T20:35:39Z | 2022-10-26T17:54:51Z | CONTRIBUTOR | simonw/sqlite-utils/pulls/499 | https://github.com/simonw/sqlite-utils/pull/498 <!-- readthedocs-preview sqlite-utils start --> ---- :books: Documentation preview :books:: https://sqlite-utils--499.org.readthedocs.build/en/499/ <!-- readthedocs-preview sqlite-utils end --> alternatively, `self.disable_fts()` | 140912432 | pull | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/499/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1393202060 | I_kwDOCGYnMM5TCpOM | 496 | devrel/python api: Pylance type hinting | 7908073 | open | 0 | 4 | 2022-10-01T03:03:34Z | 2023-05-03T05:53:27Z | CONTRIBUTOR | Pylance is generally pretty good at figuring out stuff but `sqlite-utils` has some quirks which make type hinting kinda useless. Maybe you don't care but I thought I would bring it to your attention. For example: ``` db["subs"].insert_all(subs, pk="index") ``` ``` Cannot access member "insert_all" for type "View" Member "insert_all" is unknown ``` `insert_all` and all the other methods show up as a type issues because the program can't know whether something is a View or a Table. Fair enough. But that basically throws all type checking out the window. `pk="index"` also shows up as a type issue: ``` Argument of type "Literal['index']" cannot be assigned to parameter "pk" of type "Default" in function "insert_all" "Literal['index']" is incompatible with "Default" ``` I think this is because DEFAULT is an empty class? maybe a few small changes could be made to make the library more type-friendly The interim solution is of course to turn off type hints completely for the line ``` db["subs"].insert_all(subs, pk="index") # type: ignore ``` | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/496/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1355193529 | I_kwDOCGYnMM5Qxpy5 | 479 | OperationalError: cannot VACUUM from within a transaction | 7908073 | open | 0 | 0 | 2022-08-30T05:34:24Z | 2022-08-30T05:34:24Z | CONTRIBUTOR | Maybe when calling `.vacuum()` and other DB-level write-lock operations `sqlite_utils` could guard against this error message by automatically committing first? ``` 46 db["media"].optimize() # type: ignore ---> 47 db.vacuum() File ~/.local/lib/python3.10/site-packages/sqlite_utils/db.py:1047, in Database.vacuum(self) 1045 def vacuum(self): 1046 "Run a SQLite ``VACUUM`` against the database." -> 1047 self.execute("VACUUM;") File ~/.local/lib/python3.10/site-packages/sqlite_utils/db.py:470, in Database.execute(self, sql, parameters) 468 return self.conn.execute(sql, parameters) 469 else: --> 470 return self.conn.execute(sql) OperationalError: cannot VACUUM from within a transaction ``` It might also be nice to add a sentence or two about how transactions are committed on the [docs page](https://sqlite-utils.datasette.io/en/latest/python-api.html#detect-fts). When I was swapping out my sqlite3 code for this library it was nice that everything was pretty much drop-in but I was/am unsure what to do about the places I explicitly call `.commit()` in my code Related to https://github.com/simonw/sqlite-utils/issues/121 | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/479/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
697162939 | MDU6SXNzdWU2OTcxNjI5Mzk= | 20 | Add more tags so people can find your project. | 7902810 | open | 0 | 0 | 2020-09-09T21:14:09Z | 2020-09-09T21:14:09Z | NONE | quantified-self habit-tracking google-fit time-tracking wearables quantifiedself for example | 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/20/reactions", "total_count": 1, "+1": 0, "-1": 1, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1977726056 | I_kwDOBm6k_c514bRo | 2203 | custom plugin not seen as sql function | 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: ```duckdb.duckdb.CatalogException: Catalog Error: Scalar Function with name hello_world does not exist!``` Since the jellyfish plugin doesn't do anything more complex, I'm wondering if there is some other kind of issue with my setup. | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/2203/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
814595021 | MDU6SXNzdWU4MTQ1OTUwMjE= | 1241 | Share button for copying current URL | 7107523 | open | 0 | 6 | 2021-02-23T15:55:40Z | 2023-08-24T20:09:52Z | NONE | I use datasette in an `iframe` inside another HTML file that contains other ways to represent my data (mostly leaflets maps built with R on summarized data), and the datasette `iframe` is a tab in that page. 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? | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1241/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
811054000 | MDU6SXNzdWU4MTEwNTQwMDA= | 1230 | Vega charts are plotted only for rows on the visible page, cluster maps only for rows in the remaining pages | 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](https://docs.datasette.io/en/stable/settings.html#max-returned-rows). So I guess this issue only is about the Vega charts. | 107914493 | issue | |||||||||
1393330070 | PR_kwDODD6af84__DNJ | 14 | Photo links | 6782721 | open | 0 | 0 | 2022-10-01T09:44:15Z | 2022-11-18T17:10:49Z | FIRST_TIME_CONTRIBUTOR | dogsheep/swarm-to-sqlite/pulls/14 | * add to `checkin_details` view new column for a calculated photo links * supported multiple links split by newline * create `events` table if there's no events in the history to avoid SQL errors Fixes #9. | 205429375 | pull | { "url": "https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/14/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
1129052172 | I_kwDOBm6k_c5DS_gM | 1633 | base_url or prefix does not work with _exact match | 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. ![image](https://user-images.githubusercontent.com/6613091/153293758-0b757d55-5757-4987-992e-9426e69a7956.png) And the result is: ![image](https://user-images.githubusercontent.com/6613091/153294672-87be7809-bb7b-455d-bf1a-41e90bbfa4ae.png) If I add the marked row to url_builder.py it seams to work: ![image](https://user-images.githubusercontent.com/6613091/153295231-bdd52e37-efcf-4b21-9d37-69f182a922f4.png) | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1633/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1816830546 | I_kwDODEm0Qs5sSqJS | 73 | Twitter v1 API shutdown | 6341745 | open | 0 | 0 | 2023-07-22T16:57:41Z | 2023-07-22T16:57:41Z | NONE | I've been using this project reliably over the past two years to periodically download my liked tweets, but unfortunately since 19th July I get: ``` [2023-07-19 21:00:04.937536] File "/home/pi/code/liked-tweets/lib/python3.7/site-packages/twitter_to_sqlite/utils.py", line 202, in fetch_timeline [2023-07-19 21:00:04.937606] raise Exception(str(tweets["errors"])) [2023-07-19 21:00:04.937678] Exception: [{'message': 'You currently have access to a subset of Twitter API v2 endpoints and limited v1.1 endpoints (e.g. media post, oauth) only. If you need access to this endpoint, you may need a different access level. You can learn more here: https://developer.twitter.com/en/portal/product', 'code': 453}] ``` It appears like Twitter has now shut down their v1 endpoints, which is rather gracious of them, considering they [announced they'd be deprecated on 29th April](https://twittercommunity.com/t/reminder-to-migrate-to-the-new-free-basic-or-enterprise-plans-of-the-twitter-api/189737). Unfortunately [retrieving likes using the v2 API](https://developer.twitter.com/en/docs/twitter-api/tweets/likes/introduction) is not part of their [free plan](https://developer.twitter.com/en/portal/products). In fact, with the free plan one can only post and delete tweets and retrieve information about oneself. So I'm afraid this is the end of this very nice project. It was very useful, thank you! | 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/73/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 1 } |
||||||||
1515883470 | I_kwDOC8tyDs5aWovO | 24 | DOC: xml.etree.ElementTree.ParseError due to healthkit version 12 | 6231413 | open | 0 | 2 | 2023-01-01T23:00:38Z | 2023-03-30T10:17:31Z | NONE | Hi @simonw I hope you find this issue ok, the idea is provide some documentation to other users like me about how to solve this problem and save some time. Following the instructions from the `README.md` I've faced this error: ```bash (venv) mgreco@pop-os apple-health master* (23:44|0s) $ healthkit-to-sqlite apple_health_export/export.xml healthkit.db --xml Importing from HealthKit [------------------------------------] 0% Traceback (most recent call last): File "/home/mgreco/github/mmngreco/apple-health/venv/bin/healthkit-to-sqlite", line 33, in <module> sys.exit(load_entry_point('healthkit-to-sqlite', 'console_scripts', 'healthkit-to-sqlite')()) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 1130, in __call__ return self.main(*args, **kwargs) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 1055, in main rv = self.invoke(ctx) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py", line 760, in invoke return __callback(*args, **kwargs) File "/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/cli.py", line 57, in cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) File "/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/utils.py", line 25, in convert_xml_to_sqlite for tag, el in find_all_tags( File "/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/utils.py", line 12, in find_all_tags for event, el in parser.read_events(): File "/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/xml/etree/ElementTree.py", line 1324, in read_events raise event File "/home/mgreco/gith… | 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/24/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |