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id | html_url | issue_url | node_id | user | created_at | updated_at | author_association ▼ | body | reactions | issue | performed_via_github_app |
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556749086 | https://github.com/simonw/datasette/issues/394#issuecomment-556749086 | https://api.github.com/repos/simonw/datasette/issues/394 | MDEyOklzc3VlQ29tbWVudDU1Njc0OTA4Ng== | jsfenfen 639012 | 2019-11-21T01:15:34Z | 2019-11-21T01:21:45Z | CONTRIBUTOR | Hey @simonw is the url_prefix config option available in another branch, it looks like you've written some tests for it above? In 0.32 I get "url_prefix is not a valid option". I think this would be *really helpful*! This would be really handy for proxying datasette in another domain's *subdirectory* I believe this will allow folks to run upstream authentication, but the links break if the url_prefix doesn't match. I'd prefer not to host a proxied version of datasette on a subdomain (e.g. datasette.myurl.com b/c then I gotta worry about sharing authorization cookies with the subdomain, which I just assume not do, but...) Edit: I see the wip-url-prefix branch, I may try with that https://github.com/simonw/datasette/commit/8da2db4b71096b19e7a9ef1929369b8483d448bf | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | base_url configuration setting 396212021 | |
558687342 | https://github.com/simonw/datasette/issues/639#issuecomment-558687342 | https://api.github.com/repos/simonw/datasette/issues/639 | MDEyOklzc3VlQ29tbWVudDU1ODY4NzM0Mg== | jacobian 21148 | 2019-11-26T15:40:00Z | 2019-11-26T15:40:00Z | CONTRIBUTOR | A bit of background: the reason `heroku git:clone` brings down an empty directory is because `datasette publish heroku` uses the [builds API](https://devcenter.heroku.com/articles/build-and-release-using-the-api), rather than a `git push`, to release the app. I originally did this because it seemed like a lower bar than having a working `git`, but the downside is, as you found out, that tweaking the created app is hard. So there's one option -- change `datasette publish heroku` to use `git push` instead of `heroku builds:create`. @pkoppstein - what you suggested seems like it ought to work (you don't need maintenance mode, though). I'm not sure why it doesn't. You could also look into using the [slugs API](https://devcenter.heroku.com/articles/platform-api-deploying-slugs) to download the slug, change `metadata.json`, re-pack and re-upload the slug. Ultimately though I think I think @simonw's idea of reading `metadata.json` from an external source might be better (#357). Reading from an alternate URL would be fine, or you could also just stuff the whole `metadata.json` into a Heroku config var, and write a plugin to read it from there. Hope this helps a bit! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | updating metadata.json without recreating the app 527670799 | |
559207224 | https://github.com/simonw/datasette/issues/642#issuecomment-559207224 | https://api.github.com/repos/simonw/datasette/issues/642 | MDEyOklzc3VlQ29tbWVudDU1OTIwNzIyNA== | psychemedia 82988 | 2019-11-27T18:40:57Z | 2019-11-27T18:41:07Z | CONTRIBUTOR | Would cookie cutter approaches also work for creating various flavours of customised templates? I need to try to create a couple of sites for myself to get a feel for what sorts of thing are easily doable, and what cribbable cookie cutter items might be. I'm guessing https://simonwillison.net/2019/Nov/25/niche-museums/ is a good place to start from? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Provide a cookiecutter template for creating new plugins 529429214 | |
559632608 | https://github.com/simonw/datasette/issues/573#issuecomment-559632608 | https://api.github.com/repos/simonw/datasette/issues/573 | MDEyOklzc3VlQ29tbWVudDU1OTYzMjYwOA== | psychemedia 82988 | 2019-11-29T01:43:38Z | 2019-11-29T01:43:38Z | CONTRIBUTOR | In passing, it looks like a start was made on a datasette Jupyter server extension in https://github.com/lucasdurand/jupyter-datasette although the build fails in MyBinder. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Exposing Datasette via Jupyter-server-proxy 492153532 | |
565755208 | https://github.com/simonw/datasette/pull/644#issuecomment-565755208 | https://api.github.com/repos/simonw/datasette/issues/644 | MDEyOklzc3VlQ29tbWVudDU2NTc1NTIwOA== | chris48s 6025893 | 2019-12-14T21:33:31Z | 2019-12-14T21:33:31Z | CONTRIBUTOR | Hi @simonw Have you had a chance to look at this at all? I'm going to have a chunk of time free next week so if there is additional work needed on this, that would be a particularly convenient time for me to revisit this. Cheers | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Validate metadata json on startup 530513784 | |
567133734 | https://github.com/simonw/datasette/issues/394#issuecomment-567133734 | https://api.github.com/repos/simonw/datasette/issues/394 | MDEyOklzc3VlQ29tbWVudDU2NzEzMzczNA== | jsfenfen 639012 | 2019-12-18T17:33:23Z | 2019-12-18T17:33:23Z | CONTRIBUTOR | FWIW I did a dumb merge of the branch here: https://github.com/jsfenfen/datasette and it seemed to work in that I could run stuff at a subdirectory, but ended up abandoning it in favor of just posting a subdomain because getting the nginx configs right was making me crazy. I still would prefer posting at a subdirectory but the subdomain seems simpler at the moment. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | base_url configuration setting 396212021 | |
573388052 | https://github.com/simonw/sqlite-utils/issues/74#issuecomment-573388052 | https://api.github.com/repos/simonw/sqlite-utils/issues/74 | MDEyOklzc3VlQ29tbWVudDU3MzM4ODA1Mg== | jayvdb 15092 | 2020-01-12T06:51:30Z | 2020-01-12T06:51:30Z | CONTRIBUTOR | Thanks. That showed me that there was a click cli runner error, and setting `export LANG=en_US.UTF-8` fixed it. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Test failures on openSUSE 15.1: AssertionError: Explicit other_table and other_column 546073980 | |
573389669 | https://github.com/simonw/sqlite-utils/issues/74#issuecomment-573389669 | https://api.github.com/repos/simonw/sqlite-utils/issues/74 | MDEyOklzc3VlQ29tbWVudDU3MzM4OTY2OQ== | jayvdb 15092 | 2020-01-12T07:21:17Z | 2020-01-12T07:21:17Z | CONTRIBUTOR | I guess there is some extra flag for ` CliRunner.invoke` to check exitcode and raise the exception, or that should be an extra assert added. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Test failures on openSUSE 15.1: AssertionError: Explicit other_table and other_column 546073980 | |
576293773 | https://github.com/simonw/datasette/issues/656#issuecomment-576293773 | https://api.github.com/repos/simonw/datasette/issues/656 | MDEyOklzc3VlQ29tbWVudDU3NjI5Mzc3Mw== | JBPressac 6371750 | 2020-01-20T14:17:11Z | 2020-01-20T14:17:11Z | CONTRIBUTOR | Seems that headers and definitions has simply to be filled as an HTML table in the description field of matadata.json. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Display of the column definitions 546961357 | |
582105810 | https://github.com/simonw/datasette/pull/653#issuecomment-582105810 | https://api.github.com/repos/simonw/datasette/issues/653 | MDEyOklzc3VlQ29tbWVudDU4MjEwNTgxMA== | jaywgraves 418191 | 2020-02-04T20:43:01Z | 2020-02-04T20:43:01Z | CONTRIBUTOR | I *think* the existing code will be OK even if I strip the lines in the middle of a new line delimited string. It's only used for the validation, SQLite handles the `--` just fine and the whole SQL textarea still gets sent once it passes validation. I can add your test case to my branch later this evening though. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | allow leading comments in SQL input field 541331755 | |
582106085 | https://github.com/simonw/datasette/pull/653#issuecomment-582106085 | https://api.github.com/repos/simonw/datasette/issues/653 | MDEyOklzc3VlQ29tbWVudDU4MjEwNjA4NQ== | jaywgraves 418191 | 2020-02-04T20:43:43Z | 2020-02-04T20:43:43Z | CONTRIBUTOR | but this also doesn't have to land at all if it doesn't match your use case. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | allow leading comments in SQL input field 541331755 | |
586599424 | https://github.com/simonw/datasette/issues/417#issuecomment-586599424 | https://api.github.com/repos/simonw/datasette/issues/417 | MDEyOklzc3VlQ29tbWVudDU4NjU5OTQyNA== | psychemedia 82988 | 2020-02-15T15:12:19Z | 2020-02-15T15:12:33Z | CONTRIBUTOR | So could the polling support also allow you to call sqlite_utils to update a database with csv files? (Though I'm guessing you would only want to handle changed files? Do your scrapers check and cache csv datestamps/hashes?) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Datasette Library 421546944 | |
590022164 | https://github.com/simonw/datasette/pull/666#issuecomment-590022164 | https://api.github.com/repos/simonw/datasette/issues/666 | MDEyOklzc3VlQ29tbWVudDU5MDAyMjE2NA== | kevindkeogh 13896256 | 2020-02-23T03:26:00Z | 2020-02-23T03:26:00Z | CONTRIBUTOR | It was very helpful for me, using it for a 15M row table. Added a test, happy to amend though! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Use inspect-file, if possible, for total row count 562085508 | |
593026413 | https://github.com/simonw/datasette/issues/573#issuecomment-593026413 | https://api.github.com/repos/simonw/datasette/issues/573 | MDEyOklzc3VlQ29tbWVudDU5MzAyNjQxMw== | wragge 127565 | 2020-03-01T01:24:45Z | 2020-03-01T01:24:45Z | CONTRIBUTOR | Did you manage to find an answer to this? I've got a notebook to help people generate datasets on the fly from an API, so it would be cool if they flick it to Datasette for initial exploration. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Exposing Datasette via Jupyter-server-proxy 492153532 | |
602907207 | https://github.com/simonw/datasette/issues/394#issuecomment-602907207 | https://api.github.com/repos/simonw/datasette/issues/394 | MDEyOklzc3VlQ29tbWVudDYwMjkwNzIwNw== | wragge 127565 | 2020-03-23T23:12:18Z | 2020-03-23T23:12:18Z | CONTRIBUTOR | This would also be useful for running Datasette in Jupyter notebooks on [Binder](https://mybinder.org/). While you can use [Jupyter-server-proxy](https://github.com/jupyterhub/jupyter-server-proxy) to access Datasette on Binder, the links are broken. Why run Datasette on Binder? I'm developing a [range of Jupyter notebooks](https://glam-workbench.github.io/) that are aimed at getting humanities researchers to explore data from libraries, archives, and museums. Many of them are aimed at researchers with limited digital skills, so being able to run examples in Binder without them installing anything is fantastic. For example, there are a [series of notebooks](https://glam-workbench.github.io/trove-harvester/) that help researchers harvest digitised historical newspaper articles from Trove. The metadata from this harvest is saved as a CSV file that users can download. I've also provided some extra notebooks that use Pandas etc to demonstrate ways of analysing and visualising the harvested data. But it would be really nice if, after completing a harvest, the user could spin up Datasette for some initial exploration of their harvested data without ever leaving their browser. | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | base_url configuration setting 396212021 | |
604166918 | https://github.com/simonw/datasette/issues/394#issuecomment-604166918 | https://api.github.com/repos/simonw/datasette/issues/394 | MDEyOklzc3VlQ29tbWVudDYwNDE2NjkxOA== | wragge 127565 | 2020-03-26T00:56:30Z | 2020-03-26T00:56:30Z | CONTRIBUTOR | Thanks! I'm trying to launch Datasette from *within* a notebook using the jupyter-server-proxy and the new `base_url` parameter. While the assets load ok, and the breadcrumb navigation works, the facet links don't seem to use the `base_url`. Or have I missed something? My test repository is here: https://github.com/wragge/datasette-test | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | base_url configuration setting 396212021 | |
604225034 | https://github.com/simonw/datasette/issues/712#issuecomment-604225034 | https://api.github.com/repos/simonw/datasette/issues/712 | MDEyOklzc3VlQ29tbWVudDYwNDIyNTAzNA== | wragge 127565 | 2020-03-26T04:40:08Z | 2020-03-26T04:40:08Z | CONTRIBUTOR | Great! Yes, can confirm that this works on Binder. However, when I try to run the same code locally, I get an Internal Server Error when I try to access Datasette. ``` ERROR: Exception in ASGI application Traceback (most recent call last): File "/Volumes/Workspace/mycode/datasette-test/lib/python3.7/site-packages/uvicorn/protocols/http/httptools_impl.py", line 385, in run_asgi result = await app(self.scope, self.receive, self.send) File "/Volumes/Workspace/mycode/datasette-test/lib/python3.7/site-packages/uvicorn/middleware/proxy_headers.py", line 45, in __call__ return await self.app(scope, receive, send) File "/Volumes/Workspace/mycode/datasette-test/lib/python3.7/site-packages/datasette_debug_asgi.py", line 24, in wrapped_app await app(scope, recieve, send) File "/Volumes/Workspace/mycode/datasette-test/lib/python3.7/site-packages/datasette/utils/asgi.py", line 174, in __call__ await self.app(scope, receive, send) File "/Volumes/Workspace/mycode/datasette-test/lib/python3.7/site-packages/datasette/tracer.py", line 75, in __call__ await self.app(scope, receive, send) File "/Volumes/Workspace/mycode/datasette-test/lib/python3.7/site-packages/datasette/app.py", line 746, in __call__ raw_path = dict(scope["headers"])[path_from_header.encode("utf8")].split(b"?")[0] KeyError: b'x-original-uri' INFO: 127.0.0.1:49320 - "GET / HTTP/1.1" 500 Internal Server Error ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | base_url doesn't entirely work for running Datasette inside Binder 588108428 | |
604249402 | https://github.com/simonw/datasette/issues/712#issuecomment-604249402 | https://api.github.com/repos/simonw/datasette/issues/712 | MDEyOklzc3VlQ29tbWVudDYwNDI0OTQwMg== | wragge 127565 | 2020-03-26T06:11:44Z | 2020-03-26T06:11:44Z | CONTRIBUTOR | Following on from @betatim's suggestion on Twitter, I've changed the proxy url to include 'absolute'. ``` python proxy_url = f'{base_url}proxy/absolute/8001/' ``` This works both on Binder and locally, without using the `path_from_header` option. I've updated the demo repository. Sorry @simonw if I've led you down the wrong path! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | base_url doesn't entirely work for running Datasette inside Binder 588108428 | |
604328163 | https://github.com/simonw/datasette/issues/573#issuecomment-604328163 | https://api.github.com/repos/simonw/datasette/issues/573 | MDEyOklzc3VlQ29tbWVudDYwNDMyODE2Mw== | psychemedia 82988 | 2020-03-26T09:41:30Z | 2020-03-26T09:41:30Z | CONTRIBUTOR | Fixed by @simonw; example here: https://github.com/simonw/jupyterserverproxy-datasette-demo | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Exposing Datasette via Jupyter-server-proxy 492153532 | |
608716819 | https://github.com/simonw/datasette/issues/236#issuecomment-608716819 | https://api.github.com/repos/simonw/datasette/issues/236 | MDEyOklzc3VlQ29tbWVudDYwODcxNjgxOQ== | cldellow 193185 | 2020-04-03T22:19:00Z | 2020-04-03T22:19:00Z | CONTRIBUTOR | Hi Simon, I'm thinking of attempting this. Can you clarify some questions I have? 1) I assume the goal is to have a CORS-friendly HTTPS endpoint that hosts the datasette service + user's db. 2) If that's the goal, I think Lambda alone is insufficient. Lambda provides the compute fabric, but not the HTTP routing. You'd also need to add Application Load Balancer or API Gateway to provide an HTTP endpoint that routes to the lambda function. Do you have a preference between ALB or API GW? ALB has better economics at scale, but has a minimum monthly cost. API GW has worse per-request economics, but scales to zero when no requests are happening. 3) Does Datasette have any native components, or is it all pure python? If it has native bits, they'll likely need to be recompiled to work on Amazon Linux 2. 4) There are a few disparate services that need to be wired together to expose a Python service securely to the web. If I was doing this outside of the datasette publish system, I'd use an AWS CloudFormation template. Even within datasette, I think it still makes sense to use a CloudFormation template and just have the publish plugin invoke it (via the standard `aws` cli) with user-specified parameters. Does that sound reasonable to you? Thanks for your help! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | datasette publish lambda plugin 317001500 | |
612216820 | https://github.com/simonw/datasette/issues/236#issuecomment-612216820 | https://api.github.com/repos/simonw/datasette/issues/236 | MDEyOklzc3VlQ29tbWVudDYxMjIxNjgyMA== | cldellow 193185 | 2020-04-10T21:03:38Z | 2020-04-10T21:03:38Z | CONTRIBUTOR | I made a repo at https://github.com/code402/datasette-lambda to demonstrate the idea, and scratch my personal itch for this. The demo relies on some central authority having already published a public, reusable Lambda layer with Datasette & its dependencies. I think that differs from the other publish plugins which seem to mainly publish Dockerfiles that the host will interpret to install deps from a requirements.txt file. I chose that approach because `uvloop` appears to be a dependency with native code that needs to be compiled for the target runtime environment. In this case, that's Amazon Linux 2. I'm not 100% clear on whether that's still required, because: - maybe `uvloop` is only needed for `uvicorn`, which the demo doesn't actually use since HTTP routing is handled by API Gateway - it seems like `uvloop` may be an optional, drop-in optimization for `asyncio` in any case (but I may be misreading this; I'm very much a Python noob) If it's the case that `uvloop` is truly optional, then I think the publish plugin could do the packaging on the user's machine, regardless of what flavour of operating system they're on. That'd be a bit slower for the user, but would provide the most long-term flexibility in terms of supporting plugins. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | datasette publish lambda plugin 317001500 | |
618126449 | https://github.com/simonw/datasette/issues/731#issuecomment-618126449 | https://api.github.com/repos/simonw/datasette/issues/731 | MDEyOklzc3VlQ29tbWVudDYxODEyNjQ0OQ== | eyeseast 25778 | 2020-04-23T01:38:55Z | 2020-04-23T01:38:55Z | CONTRIBUTOR | I've almost suggested this same thing a couple times. I tend to have Makefile (because I'm doing other `make` stuff anyway to get data prepped), and I end up putting all those CLI options in something like `make run`. But it would be way easier to just have all those typical options -- plugins, templates, metadata -- be defaults. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Option to automatically configure based on directory layout 605110015 | |
618758326 | https://github.com/simonw/datasette/issues/731#issuecomment-618758326 | https://api.github.com/repos/simonw/datasette/issues/731 | MDEyOklzc3VlQ29tbWVudDYxODc1ODMyNg== | eyeseast 25778 | 2020-04-24T01:55:00Z | 2020-04-24T01:55:00Z | CONTRIBUTOR | Mounting `./static` at `/static` seems the simplest way. Saves you the trouble of deciding what else (`img` for example) gets special treatment. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Option to automatically configure based on directory layout 605110015 | |
622599528 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622599528 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU5OTUyOA== | b0b5h4rp13 32605365 | 2020-05-01T22:49:12Z | 2020-05-02T11:15:44Z | CONTRIBUTOR | With SQLITE_MAX_VARS = 999, or even 899, This hits the problem with the batch rows causing a overflow (works fine if SQLITE_MAX_VARS = 799). p.s. I have tried a few list of dicts to sqlite modules and this was the easiest to use/understand ------------- file begins ------------------ import sqlite_utils as su data = [ {'tickerId': 913324382, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'CONSTELLATION B', 'symbol': 'STZ B', 'disSymbol': 'STZ-B', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'status': 'D', 'close': '163.13', 'change': '6.46', 'changeRatio': '0.0412', 'marketValue': '31180699895.63', 'volume': '417', 'turnoverRate': '0.0000'}, {'tickerId': 913323791, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Molina Health', 'symbol': 'MOH', 'disSymbol': 'MOH', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'D', 'close': '173.25', 'change': '9.28', 'changeRatio': '0.0566', 'pPrice': '173.25', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '10520341695.50', 'volume': '1281557', 'turnoverRate': '0.0202'}, {'tickerId': 913257501, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Seattle Genetics', 'symbol': 'SGEN', 'disSymbol': 'SGEN', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '145.64', 'change': '8.41', 'changeRatio': '0.0613', 'pPrice': '146.45', 'pChange': '0.8100', 'pChRatio': '0.0056', 'marketValue': '25117961347.60', 'volume': '2791411', 'turnoverRate': '0.0162'}, {'tickerId': 925381971, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Bandwidth', 'symbol': 'BAND', 'disSymbol': 'BAND', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', '… | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
623463200 | https://github.com/simonw/datasette/pull/730#issuecomment-623463200 | https://api.github.com/repos/simonw/datasette/issues/730 | MDEyOklzc3VlQ29tbWVudDYyMzQ2MzIwMA== | dependabot-preview[bot] 27856297 | 2020-05-04T13:27:22Z | 2020-05-04T13:27:22Z | CONTRIBUTOR | Superseded by #753. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Update pytest-asyncio requirement from ~=0.10.0 to >=0.10,<0.12 604001627 | |
623845014 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623845014 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzg0NTAxNA== | RhetTbull 41546558 | 2020-05-05T03:55:14Z | 2020-05-05T03:56:24Z | CONTRIBUTOR | I'm traveling w/o access to my Mac so can't help with any code right now. I suspected ZSCENEIDENTIFIER was a foreign key into one of these psi.sqlite tables. But looks like you're on to something connecting groups to assets. As for the UUID, I think there's two ints because each is 64-bits but UUIDs are 128-bits. Thus they need to be combined to get the 128 bit UUID. You might be able to use Apple's [NSUUID](https://developer.apple.com/documentation/foundation/nsuuid?language=objc), for example, by wrapping with pyObjC. Here's one [example](https://github.com/ronaldoussoren/pyobjc/blob/881c82a7ba90f193934b52b44143360c80dce5e5/pyobjc-framework-Cocoa/PyObjCTest/test_nsuuid.py) of using this in PyObjC's test suite. Interesting it's stored this way instead of a UUIDString as in Photos.sqlite. Perhaps it for faster indexing. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
624284539 | https://github.com/dogsheep/dogsheep-photos/issues/17#issuecomment-624284539 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/17 | MDEyOklzc3VlQ29tbWVudDYyNDI4NDUzOQ== | RhetTbull 41546558 | 2020-05-05T20:20:05Z | 2020-05-05T20:20:05Z | CONTRIBUTOR | FYI, I've got an [issue](https://github.com/RhetTbull/osxphotos/issues/25) to make osxphotos cross-platform but it's low on my priority list. About 90% of the functionality could be done cross-platform but right now the MacOS specific stuff is embedded throughout and would take some work. Though I try to minimize it, there's sprinklings of ObjC & Applescript throughout osxphotos. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Only install osxphotos if running on macOS 612860531 | |
626390317 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626390317 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5MDMxNw== | RhetTbull 41546558 | 2020-05-10T21:11:24Z | 2020-05-10T21:50:58Z | CONTRIBUTOR | Ugh....Yeah, I think easiest is to catch the exception and return no place as you suggest. This particular bit of code involves un-archiving a serialized NSKeyedArchiver which uses an object table and it is certainly possible to create a circular reference that way. Because this is happening in the decode, the circular reference must be in the original data. Does Photos show valid reverse geolocation info for the photo in question? If so, Photos may be doing something beyond a simple decode of the binary plist. For now, I'll push a patch to catch the exception. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626395507 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626395507 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5NTUwNw== | RhetTbull 41546558 | 2020-05-10T21:54:45Z | 2020-05-10T21:54:45Z | CONTRIBUTOR | @simonw does Photos show valid reverse geolocation info? Are you sure you're using [bpylist2](https://github.com/xa4a/bpylist2) and not bpylist? They're both unfortunately imported as "bpylist" so if you somehow got the wrong (original bpylist) version installed, it could be the issue. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626395641 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626395641 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5NTY0MQ== | RhetTbull 41546558 | 2020-05-10T21:55:54Z | 2020-05-10T21:55:54Z | CONTRIBUTOR | Did removing old bpylist solve the original problem or do you still have a photo that throws circular reference? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626396379 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626396379 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5NjM3OQ== | RhetTbull 41546558 | 2020-05-10T22:01:48Z | 2020-05-10T22:01:48Z | CONTRIBUTOR | Frustrates me when package authors create a "drop in" replacement with the same import name...this kind of thing has bitten me more than once! Would've been nicer I think for bpylist2 to do "import bpylist2 as bpylist" | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626667235 | https://github.com/dogsheep/dogsheep-photos/issues/22#issuecomment-626667235 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22 | MDEyOklzc3VlQ29tbWVudDYyNjY2NzIzNQ== | RhetTbull 41546558 | 2020-05-11T12:20:34Z | 2020-05-11T12:20:34Z | CONTRIBUTOR | @simonw FYI, osxphotos includes a built in ExifTool class that uses [exiftool](https://exiftool.org/) to read and write exif data. It's not exposed yet in the docs because I really only use it right now in the osphotos command line interface to write tags when exporting. In v0.28.16 (just pushed) I added an ExifTool.as_dict() method which will give you a dict with all the exif tags in a file. For example: ```python import osxphotos photos = osxphotos.PhotosDB().photos() exiftool = osxphotos.exiftool.ExifTool(photos[0].path) exifdata = exiftool.as_dict() tags = exifdata["IPTC:Keywords"] ``` Not as elegant perhaps as a python only implementation because ExifTool has to make subprocess calls to an external tool but exiftool is by far the best tool available for reading and writing EXIF data and it does support HEIC. As for implementation, ExifTool uses a singleton pattern so the first time you instantiate it, it spawns an IPC to exiftool but then keeps it open and uses the same process for any subsequent calls (even on different files). | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Try out ExifReader 615626118 | |
627007458 | https://github.com/dogsheep/dogsheep-photos/issues/22#issuecomment-627007458 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22 | MDEyOklzc3VlQ29tbWVudDYyNzAwNzQ1OA== | RhetTbull 41546558 | 2020-05-11T22:51:52Z | 2020-05-11T22:52:26Z | CONTRIBUTOR | I'm not familiar with `ExifReader`. I wrote my own wrapper around `exiftool` because I wanted a simple way to write EXIF data when exporting photos (e.g. writing out to PersonInImage and keywords to IPTC:Keywords) and the existing python packages like [pyexiftool](https://github.com/smarnach/pyexiftool) didn't do quite what I wanted. If all you're after is the camera and shot info, that's available in `ZEXTENDEDATTRIBUTES` table. I've got an open issue [#11](https://github.com/RhetTbull/osxphotos/issues/11) to add this to osxphotos but it hasn't bubbled to the top of my backlog yet. osxphotos will give you the location info: `PhotoInfo.location` returns a tuple of (lat, lon) though this info is in ZEXTENDEDATTRIBUTES too (though it might not be correct as I believe Photos creates this table at import and the user might have changed the location of a photo, e.g. if camera didn't have GPS). ```sql CREATE TABLE ZEXTENDEDATTRIBUTES ( Z_PK INTEGER PRIMARY KEY, Z_ENT INTEGER, Z_OPT INTEGER, ZFLASHFIRED INTEGER, ZISO INTEGER, ZMETERINGMODE INTEGER, ZSAMPLERATE INTEGER, ZTRACKFORMAT INTEGER, ZWHITEBALANCE INTEGER, ZASSET INTEGER, ZAPERTURE FLOAT, ZBITRATE FLOAT, ZDURATION FLOAT, ZEXPOSUREBIAS FLOAT, ZFOCALLENGTH FLOAT, ZFPS FLOAT, ZLATITUDE FLOAT, ZLONGITUDE FLOAT, ZSHUTTERSPEED FLOAT, ZCAMERAMAKE VARCHAR, ZCAMERAMODEL VARCHAR, ZCODEC VARCHAR, ZLENSMODEL VARCHAR ); ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Try out ExifReader 615626118 | |
628405453 | https://github.com/dogsheep/dogsheep-photos/issues/22#issuecomment-628405453 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22 | MDEyOklzc3VlQ29tbWVudDYyODQwNTQ1Mw== | RhetTbull 41546558 | 2020-05-14T05:59:53Z | 2020-05-14T05:59:53Z | CONTRIBUTOR | I've added support for the above exif data to [v0.28.17](https://github.com/RhetTbull/osxphotos/releases/tag/v0.28.17) of osxphotos. `PhotoInfo.exif_info` will return an `ExifInfo` [dataclass](https://docs.python.org/3/library/dataclasses.html) object with the following properties: ```python flash_fired: bool iso: int metering_mode: int sample_rate: int track_format: int white_balance: int aperture: float bit_rate: float duration: float exposure_bias: float focal_length: float fps: float latitude: float longitude: float shutter_speed: float camera_make: str camera_model: str codec: str lens_model: str ``` It's not all the EXIF data available in most files but is the data Photos deems important to save. Of course, you can get all the exif_data Note: this only works in Photos 5. As best as I can tell, EXIF data is not stored in the database for earlier versions. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Try out ExifReader 615626118 | |
632555800 | https://github.com/simonw/datasette/issues/767#issuecomment-632555800 | https://api.github.com/repos/simonw/datasette/issues/767 | MDEyOklzc3VlQ29tbWVudDYzMjU1NTgwMA== | rixx 2657547 | 2020-05-22T08:00:23Z | 2020-05-22T08:00:23Z | CONTRIBUTOR | That would be perfect! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Allow to specify a URL fragment for canned queries 620969465 | |
641908346 | https://github.com/simonw/datasette/issues/394#issuecomment-641908346 | https://api.github.com/repos/simonw/datasette/issues/394 | MDEyOklzc3VlQ29tbWVudDY0MTkwODM0Ng== | wragge 127565 | 2020-06-10T10:22:54Z | 2020-06-10T10:22:54Z | CONTRIBUTOR | There's a working demo here: https://github.com/wragge/datasette-test And if you want something that's more than just proof-of-concept, here's a notebook which does some harvesting from web archives and then displays the results using Datasette: https://nbviewer.jupyter.org/github/GLAM-Workbench/web-archives/blob/master/explore_presentations.ipynb | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | base_url configuration setting 396212021 | |
643709037 | https://github.com/simonw/datasette/issues/691#issuecomment-643709037 | https://api.github.com/repos/simonw/datasette/issues/691 | MDEyOklzc3VlQ29tbWVudDY0MzcwOTAzNw== | amjith 49260 | 2020-06-14T02:35:16Z | 2020-06-14T02:35:16Z | CONTRIBUTOR | The server should reload in the `config_dir` mode. Ref: #848 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | --reload sould reload server if code in --plugins-dir changes 574021194 | |
645293374 | https://github.com/simonw/datasette/issues/851#issuecomment-645293374 | https://api.github.com/repos/simonw/datasette/issues/851 | MDEyOklzc3VlQ29tbWVudDY0NTI5MzM3NA== | abdusco 3243482 | 2020-06-17T10:32:02Z | 2020-06-17T10:32:28Z | CONTRIBUTOR | Welp, I'm an idiot. Turns out I had a sneaky comma `,` after `sql` key: ``` ... (:name, :url), ``` which tells sqlite to expect another `values(...)` list. Correcting the SQL solved the issue. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Having trouble getting writable canned queries to work 640330278 | |
647135713 | https://github.com/simonw/datasette/issues/859#issuecomment-647135713 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0NzEzNTcxMw== | abdusco 3243482 | 2020-06-21T14:30:02Z | 2020-06-21T14:30:02Z | CONTRIBUTOR | Oops, the same method is called from both index and database pages. But removing select count queries speed up the page load quite a bit. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
647194131 | https://github.com/simonw/datasette/issues/859#issuecomment-647194131 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0NzE5NDEzMQ== | abdusco 3243482 | 2020-06-21T23:15:54Z | 2020-06-21T23:26:09Z | CONTRIBUTOR | I'm not sure if table counts are to blame. There shouldn't be a ~3 orders of magnitude difference. ```fish user@klein /a/w/scrapyard (master)> set sql "select count(*) from table_1; select count(*) from table_2; select count(*) from table_3;" user@klein /a/w/scrapyard (master)> time sqlite3 scrapyard.db "$sql" 187489 46492 2229 ________________________________________________________ Executed in 25.57 millis fish external usr time 3.55 millis 0.00 micros 3.55 millis sys time 22.42 millis 1123.00 micros 21.30 millis ``` but not letting datasette count the tables definitely helps. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
647922203 | https://github.com/simonw/datasette/issues/859#issuecomment-647922203 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0NzkyMjIwMw== | abdusco 3243482 | 2020-06-23T05:44:58Z | 2021-01-05T08:22:43Z | CONTRIBUTOR | I'm seeing the problem on database page. Index page and table page runs quite fast. - Tables have <10 columns (`id`, `url`, `title`, `body_html`, `date`, `author`, `meta` (for keeping unstructured json)). I've added index on `date` columns (using `sqlite-utils`) in addition to the index present on `id` columns. - All tables have FTS enabled on `text` and `varchar` columns (`title`, `body_html` etc) to speed up searching. - There are couple of tables related with foreign keys (think a thread in a forum and posts in that thread, related with `thread_id`) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
647923666 | https://github.com/simonw/datasette/issues/859#issuecomment-647923666 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0NzkyMzY2Ng== | abdusco 3243482 | 2020-06-23T05:49:31Z | 2020-06-23T05:49:31Z | CONTRIBUTOR | I think I should mention that having FTS on all tables mean I have 5 visible, 25 hidden (FTS) tables displayed on database page. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
647925594 | https://github.com/simonw/datasette/issues/859#issuecomment-647925594 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0NzkyNTU5NA== | abdusco 3243482 | 2020-06-23T05:55:21Z | 2020-06-23T06:28:29Z | CONTRIBUTOR | Hmm, not seeing the problem now. I've removed the commented out sections in `database.py` and restarted the process. Database page now loads in <250ms. I have couple of workers that check some pages regularly and scrape new content and save to the DB. Could it be that datasette tries to recount tables every time database size changes? Normally it keeps a count cache, but as DB gets updated so often (new content every 5 min or so) it's practically recounting every time I go to the database page? EDIT: It turns out it doesn't hold cache with mutable databases. I'll update the issue with more findings and a better way to reproduce the problem if I encounter it again. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
647935300 | https://github.com/simonw/datasette/issues/859#issuecomment-647935300 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0NzkzNTMwMA== | abdusco 3243482 | 2020-06-23T06:23:01Z | 2020-06-23T06:23:01Z | CONTRIBUTOR | > You said "200k+, 50+ rows in a couple of tables" - does that mean 50+ columns? I'll try with larger numbers of columns and see what difference that makes. Ah that was a typo, I meant 50k. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
647936117 | https://github.com/simonw/datasette/issues/859#issuecomment-647936117 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0NzkzNjExNw== | abdusco 3243482 | 2020-06-23T06:25:17Z | 2020-06-23T06:25:17Z | CONTRIBUTOR | > > > ``` > sqlite-generate many-cols.db --tables 2 --rows 200000 --columns 50 > ``` > > Looks like that will take 35 minutes to run (it's not a particularly fast tool). Try chunking write operations into batches every 1000 records or so. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
648232645 | https://github.com/simonw/datasette/issues/859#issuecomment-648232645 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0ODIzMjY0NQ== | abdusco 3243482 | 2020-06-23T15:19:53Z | 2020-06-23T15:19:53Z | CONTRIBUTOR | The issue seems to appear sporadically, like when I return to database page after a while, during which some records have been added to the database. I've just visited database, page first visit took ~10s, consecutive visits took 0.3s. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
648669523 | https://github.com/simonw/datasette/issues/859#issuecomment-648669523 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY0ODY2OTUyMw== | abdusco 3243482 | 2020-06-24T08:13:23Z | 2020-06-24T10:30:36Z | CONTRIBUTOR | I tried setting `cache_size_kb=0` then `cache_size_kb=100000`, still getting this behavior. I even changed `Database::table_counts` and lowered time limit to 1 ```py table_count = ( await self.execute( "select count(*) from [{}]".format(table), custom_time_limit=1, ) ).rows[0][0] counts[table] = table_count ``` I feel like 10 seconds is a magic number, like a processing timeout and datasette gives up and returns the page. Index page loads instantly, table page, query page, as well. But when I return to database page after some time, it loads in 10s. EDIT: It's always like 10 + 0.3s, like 10s wait and timeout then 300ms to render the page | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
652160909 | https://github.com/simonw/datasette/issues/859#issuecomment-652160909 | https://api.github.com/repos/simonw/datasette/issues/859 | MDEyOklzc3VlQ29tbWVudDY1MjE2MDkwOQ== | abdusco 3243482 | 2020-07-01T03:09:32Z | 2020-07-01T03:10:21Z | CONTRIBUTOR | I've just realized Datasette tries to count hidden tables too. There are 5 visible tables, 25 hidden tables, which I haven't realize earlier to consider their effect. I've turned off counting for hidden tables to see if it has any effect. What's the point of counting FTS tables? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Database page loads too slowly with many large tables (due to table counts) 642572841 | |
652166115 | https://github.com/simonw/datasette/issues/877#issuecomment-652166115 | https://api.github.com/repos/simonw/datasette/issues/877 | MDEyOklzc3VlQ29tbWVudDY1MjE2NjExNQ== | abdusco 3243482 | 2020-07-01T03:28:07Z | 2020-07-01T03:28:07Z | CONTRIBUTOR | Does this mean custom routes get to expose endpoints accepting POST requests? I've tried earlier to add some POST endpoints, but requests were being rejected by Datasette due to CSRF | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Consider dropping explicit CSRF protection entirely? 648421105 | |
652255960 | https://github.com/simonw/datasette/issues/877#issuecomment-652255960 | https://api.github.com/repos/simonw/datasette/issues/877 | MDEyOklzc3VlQ29tbWVudDY1MjI1NTk2MA== | abdusco 3243482 | 2020-07-01T07:52:25Z | 2020-07-01T08:10:00Z | CONTRIBUTOR | I am calling the API from another origin, so injecting CSRF token into templates wouldn't work. EDIT: I'll try the new version, it sounds promising | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Consider dropping explicit CSRF protection entirely? 648421105 | |
652261382 | https://github.com/simonw/datasette/issues/877#issuecomment-652261382 | https://api.github.com/repos/simonw/datasette/issues/877 | MDEyOklzc3VlQ29tbWVudDY1MjI2MTM4Mg== | abdusco 3243482 | 2020-07-01T08:03:17Z | 2020-07-01T08:03:23Z | CONTRIBUTOR | Bearer tokens sound interesting. Where do tokens come from? An auth provider of my choosing? How do they get verified? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Consider dropping explicit CSRF protection entirely? 648421105 | |
652297139 | https://github.com/simonw/datasette/pull/883#issuecomment-652297139 | https://api.github.com/repos/simonw/datasette/issues/883 | MDEyOklzc3VlQ29tbWVudDY1MjI5NzEzOQ== | abdusco 3243482 | 2020-07-01T09:11:29Z | 2020-07-01T09:11:29Z | CONTRIBUTOR | Turns out we should include hidden tables in the result dict, or we're breaking tests. I've committed a refactor https://github.com/simonw/datasette/pull/883/commits/4f06e1bf6fbe4b73be770b87f610bf7c0e6e3ea7 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Skip counting hidden tables 648749062 | |
652394742 | https://github.com/simonw/datasette/pull/883#issuecomment-652394742 | https://api.github.com/repos/simonw/datasette/issues/883 | MDEyOklzc3VlQ29tbWVudDY1MjM5NDc0Mg== | abdusco 3243482 | 2020-07-01T12:41:13Z | 2020-07-01T12:41:13Z | CONTRIBUTOR | Well tests need to be updated. I need to get tests working on Windows. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Skip counting hidden tables 648749062 | |
652990131 | https://github.com/simonw/datasette/issues/889#issuecomment-652990131 | https://api.github.com/repos/simonw/datasette/issues/889 | MDEyOklzc3VlQ29tbWVudDY1Mjk5MDEzMQ== | amjith 49260 | 2020-07-02T12:58:11Z | 2020-07-02T13:00:18Z | CONTRIBUTOR | FWIW, this error does NOT happen in datasette 0.45a4. It only started on 0.45a5 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | asgi_wrapper plugin hook is crashing at startup 649907676 | |
653002499 | https://github.com/simonw/datasette/issues/889#issuecomment-653002499 | https://api.github.com/repos/simonw/datasette/issues/889 | MDEyOklzc3VlQ29tbWVudDY1MzAwMjQ5OQ== | amjith 49260 | 2020-07-02T13:22:13Z | 2020-07-02T13:22:13Z | CONTRIBUTOR | I was able to narrow this down to the fact that lifespan protocol is turned on. I see the workaround you've used here: https://github.com/simonw/datasette-debug-asgi/commit/72d568d32a3159c763ce908c0b269736935c6987 If so, maybe it's time to update some of the asg_wrapper [plugins](https://datasette.readthedocs.io/en/stable/plugin_hooks.html#asgi-wrapper-datasette). | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | asgi_wrapper plugin hook is crashing at startup 649907676 | |
655018966 | https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655018966 | https://api.github.com/repos/simonw/sqlite-utils/issues/118 | MDEyOklzc3VlQ29tbWVudDY1NTAxODk2Ng== | tsibley 79913 | 2020-07-07T17:41:06Z | 2020-07-07T17:41:06Z | CONTRIBUTOR | Hmm, while tests pass, this may not work as intended on larger datasets. Looking into it. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add insert --truncate option 651844316 | |
655052451 | https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655052451 | https://api.github.com/repos/simonw/sqlite-utils/issues/118 | MDEyOklzc3VlQ29tbWVudDY1NTA1MjQ1MQ== | tsibley 79913 | 2020-07-07T18:45:23Z | 2020-07-07T18:45:23Z | CONTRIBUTOR | Ah, I see the problem. The truncate is inside a loop I didn't realize was there. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add insert --truncate option 651844316 | |
655239728 | https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655239728 | https://api.github.com/repos/simonw/sqlite-utils/issues/118 | MDEyOklzc3VlQ29tbWVudDY1NTIzOTcyOA== | tsibley 79913 | 2020-07-08T02:16:42Z | 2020-07-08T02:16:42Z | CONTRIBUTOR | I fixed my original oops by moving the `DELETE FROM $table` out of the chunking loop and repushed. I think this change can be considered in isolation from issues around transactions, which I discuss next. I wanted to make the DELETE + INSERT happen all in the same transaction so it was robust, but that was more complicated than I expected. The transaction handling in the Database/Table classes isn't systematic, and this poses big hurdles to making `Table.insert_all` (or other operations) consistent and robust in the face of errors. For example, I wanted to do this (whitespace ignored in diff, so indentation change not highlighted): ```diff diff --git a/sqlite_utils/db.py b/sqlite_utils/db.py index d6b9ecf..4107ceb 100644 --- a/sqlite_utils/db.py +++ b/sqlite_utils/db.py @@ -1028,6 +1028,11 @@ class Table(Queryable): batch_size = max(1, min(batch_size, SQLITE_MAX_VARS // num_columns)) self.last_rowid = None self.last_pk = None + with self.db.conn: + # Explicit BEGIN is necessary because Python's sqlite3 doesn't + # issue implicit BEGINs for DDL, only DML. We mix DDL and DML + # below and might execute DDL first, e.g. for table creation. + self.db.conn.execute("BEGIN") if truncate and self.exists(): self.db.conn.execute("DELETE FROM [{}];".format(self.name)) for chunk in chunks(itertools.chain([first_record], records), batch_size): @@ -1038,7 +1043,11 @@ class Table(Queryable): # Use the first batch to derive the table names column_types = suggest_column_types(chunk) column_types.update(columns or {}) - self.create( + # Not self.create() because that is wrapped in its own + # transaction and Python's sqlite3 doesn't support + # nested transactions. + self.db.create_table( + … | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add insert --truncate option 651844316 | |
655643078 | https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655643078 | https://api.github.com/repos/simonw/sqlite-utils/issues/118 | MDEyOklzc3VlQ29tbWVudDY1NTY0MzA3OA== | tsibley 79913 | 2020-07-08T17:05:59Z | 2020-07-08T17:05:59Z | CONTRIBUTOR | > The only thing missing from this PR is updates to the documentation. Ah, yes, thanks for this reminder! I've repushed with doc bits added. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add insert --truncate option 651844316 | |
655652679 | https://github.com/simonw/sqlite-utils/issues/121#issuecomment-655652679 | https://api.github.com/repos/simonw/sqlite-utils/issues/121 | MDEyOklzc3VlQ29tbWVudDY1NTY1MjY3OQ== | tsibley 79913 | 2020-07-08T17:24:46Z | 2020-07-08T17:24:46Z | CONTRIBUTOR | Better transaction handling would be really great. Some of my thoughts on implementing better transaction discipline are in https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655239728. My preferences: - Each CLI command should operate in a single transaction so that either the whole thing succeeds or the whole thing is rolled back. This avoids partially completed operations when an error occurs part way through processing. Partially completed operations are typically much harder to recovery from gracefully and may cause inconsistent data states. - The Python API should be transaction-agnostic and rely on the caller to coordinate transactions. Only the caller knows how individual insert, create, update, etc operations/methods should be bundled conceptually into transactions. When the caller is the CLI, for example, that bundling would be at the CLI command-level. Other callers might want to break up operations into multiple transactions. Transactions are usually most useful when controlled at the application-level (like logging configuration) instead of the library level. The library needs to provide an API that's conducive to transaction use, though. - The Python API should provide a context manager to provide consistent transactions handling with more useful defaults than Python's `sqlite3` module. The latter issues implicit `BEGIN` statements by default for most DML (`INSERT`, `UPDATE`, `DELETE`, … but not `SELECT`, I believe), but **not** DDL (`CREATE TABLE`, `DROP TABLE`, `CREATE VIEW`, …). Notably, the `sqlite3` module doesn't issue the implicit `BEGIN` until the first DML statement. It _does not_ issue it when entering the `with conn` block, like other DBAPI2-compatible modules do. The `with conn` block for `sqlite3` only arranges to commit or rollback an existing transaction when exiting. Including DDL and `SELECT`s in transactions is important for operation consistency, though. There are several existing bugs.python.org tickets about this and future changes are in the works, but sql… | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Improved (and better documented) support for transactions 652961907 | |
655898722 | https://github.com/simonw/sqlite-utils/issues/121#issuecomment-655898722 | https://api.github.com/repos/simonw/sqlite-utils/issues/121 | MDEyOklzc3VlQ29tbWVudDY1NTg5ODcyMg== | tsibley 79913 | 2020-07-09T04:53:08Z | 2020-07-09T04:53:08Z | CONTRIBUTOR | Yep, I agree that makes more sense for backwards compat and more casual use cases. I think it should be possible for the Database/Queryable methods to DTRT based on seeing if it's within a context-manager-managed transaction. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Improved (and better documented) support for transactions 652961907 | |
661524006 | https://github.com/simonw/datasette/issues/456#issuecomment-661524006 | https://api.github.com/repos/simonw/datasette/issues/456 | MDEyOklzc3VlQ29tbWVudDY2MTUyNDAwNg== | abeyerpath 32467826 | 2020-07-21T01:15:07Z | 2020-07-21T01:15:07Z | CONTRIBUTOR | Bumping this, as the previous fix is passing the wrong type, and not actually addressing the issue... The `exclude` argument needs an iterable of packages instead of a single string (but since `str` is iterable, it's currently excluding packages `t`, `e`, and `s`.) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Installing installs the tests package 442327592 | |
682182178 | https://github.com/simonw/sqlite-utils/issues/139#issuecomment-682182178 | https://api.github.com/repos/simonw/sqlite-utils/issues/139 | MDEyOklzc3VlQ29tbWVudDY4MjE4MjE3OA== | simonwiles 96218 | 2020-08-27T20:46:18Z | 2020-08-27T20:46:18Z | CONTRIBUTOR | > I tried changing the batch_size argument to the total number of records, but it seems only to effect the number of rows that are committed at a time, and has no influence on this problem. So the reason for this is that the `batch_size` for import is limited (of necessity) here: https://github.com/simonw/sqlite-utils/blob/main/sqlite_utils/db.py#L1048 With regard to the issue of ignoring columns, however, I made a fork and hacked a temporary fix that looks like this: https://github.com/simonwiles/sqlite-utils/commit/3901f43c6a712a1a3efc340b5b8d8fd0cbe8ee63 It doesn't seem to affect performance enormously (but I've not tested it thoroughly), and it now does what I need (and would expect, tbh), but it now fails the test here: https://github.com/simonw/sqlite-utils/blob/main/tests/test_create.py#L710-L716 The existence of this test suggests that `insert_all()` is behaving as intended, of course. It seems odd to me that this would be a desirable default behaviour (let alone the only behaviour), and its not very prominently flagged-up, either. @simonw is this something you'd be willing to look at a PR for? I assume you wouldn't want to change the default behaviour at this point, but perhaps an option could be provided, or at least a bit more of a warning in the docs. Are there oversights in the implementation that I've made? Would be grateful for your thoughts! Thanks! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | insert_all(..., alter=True) should work for new columns introduced after the first 100 records 686978131 | |
682815377 | https://github.com/simonw/sqlite-utils/issues/139#issuecomment-682815377 | https://api.github.com/repos/simonw/sqlite-utils/issues/139 | MDEyOklzc3VlQ29tbWVudDY4MjgxNTM3Nw== | simonwiles 96218 | 2020-08-28T16:14:58Z | 2020-08-28T16:14:58Z | CONTRIBUTOR | Thanks! And yeah, I had updating the docs on my list too :) Will try to get to it this afternoon (budgeting time is fraught with uncertainty at the moment!). | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | insert_all(..., alter=True) should work for new columns introduced after the first 100 records 686978131 | |
683382252 | https://github.com/simonw/sqlite-utils/issues/145#issuecomment-683382252 | https://api.github.com/repos/simonw/sqlite-utils/issues/145 | MDEyOklzc3VlQ29tbWVudDY4MzM4MjI1Mg== | simonwiles 96218 | 2020-08-30T06:27:25Z | 2020-08-30T06:27:52Z | CONTRIBUTOR | Note: had to adjust the test above because trying to exhaust a `SQLITE_MAX_VARIABLE_NUMBER` of 250000 in 99 records requires 2526 columns, and trips the ` "Rows can have a maximum of {} columns".format(SQLITE_MAX_VARS)` check even before it trips the default `SQLITE_MAX_COLUMN` value (2000). | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Bug when first record contains fewer columns than subsequent records 688659182 | |
686061028 | https://github.com/simonw/datasette/pull/952#issuecomment-686061028 | https://api.github.com/repos/simonw/datasette/issues/952 | MDEyOklzc3VlQ29tbWVudDY4NjA2MTAyOA== | dependabot-preview[bot] 27856297 | 2020-09-02T22:26:14Z | 2020-09-02T22:26:14Z | CONTRIBUTOR | Looks like black is up-to-date now, so this is no longer needed. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Update black requirement from ~=19.10b0 to >=19.10,<21.0 687245650 | |
688479163 | https://github.com/simonw/sqlite-utils/pull/146#issuecomment-688479163 | https://api.github.com/repos/simonw/sqlite-utils/issues/146 | MDEyOklzc3VlQ29tbWVudDY4ODQ3OTE2Mw== | simonwiles 96218 | 2020-09-07T19:10:33Z | 2020-09-07T19:11:57Z | CONTRIBUTOR | @simonw -- I've gone ahead updated the documentation to reflect the changes introduced in this PR. IMO it's ready to merge now. In writing the documentation changes, I begin to wonder about the value and role of `batch_size` at all, tbh. May I assume it was originally intended to prevent using the entire row set to determine columns and column types, and that this was a performance consideration? If so, this PR entirely undermines its purpose. I've been passing in excess of 500,000 rows at a time to `insert_all()` with these changes and although I'm sure the performance difference is measurable it's not really noticeable; given #145, I don't know that any performance advantages outweigh the problems doing it this way removes. What do you think about just dropping the argument and defaulting to the maximum `batch_size` permissible given `SQLITE_MAX_VARS`? Are there other reasons one might want to restrict `batch_size` that I've overlooked? I could open a new issue to discuss/implement this. Of course the documentation will need to change again too if/when something is done about #147. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Handle case where subsequent records (after first batch) include extra columns 688668680 | |
688481317 | https://github.com/simonw/sqlite-utils/pull/146#issuecomment-688481317 | https://api.github.com/repos/simonw/sqlite-utils/issues/146 | MDEyOklzc3VlQ29tbWVudDY4ODQ4MTMxNw== | simonwiles 96218 | 2020-09-07T19:18:55Z | 2020-09-07T19:18:55Z | CONTRIBUTOR | Just force-pushed to update d042f9c with more formatting changes to satisfy `black==20.8b1` and pass the GitHub Actions "Test" workflow. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Handle case where subsequent records (after first batch) include extra columns 688668680 | |
688573964 | https://github.com/simonw/sqlite-utils/pull/146#issuecomment-688573964 | https://api.github.com/repos/simonw/sqlite-utils/issues/146 | MDEyOklzc3VlQ29tbWVudDY4ODU3Mzk2NA== | simonwiles 96218 | 2020-09-08T01:55:07Z | 2020-09-08T01:55:07Z | CONTRIBUTOR | Okay, I've rewritten this PR to preserve the batching behaviour but still fix #145, and rebased the branch to account for the `db.execute()` api change. It's not terribly sophisticated -- if it attempts to insert a batch which has too many variables, the exception is caught, the batch is split in two and each half is inserted separately, and then it carries on as before with the same `batch_size`. In the edge case where this gets triggered, subsequent batches will all be inserted in two groups too if they continue to have the same number of columns (which is presumably reasonably likely). Do you reckon this is acceptable when set against the awkwardness of recalculating the `batch_size` on the fly? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Handle case where subsequent records (after first batch) include extra columns 688668680 | |
690860653 | https://github.com/dogsheep/twitter-to-sqlite/issues/50#issuecomment-690860653 | https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/50 | MDEyOklzc3VlQ29tbWVudDY5MDg2MDY1Mw== | mikepqr 370930 | 2020-09-11T04:04:08Z | 2020-09-11T04:04:08Z | CONTRIBUTOR | There's probably a nicer way of doing (hence this is a comment rather than a PR), but this appears to fix it: ```diff --- a/twitter_to_sqlite/utils.py +++ b/twitter_to_sqlite/utils.py @@ -181,6 +181,7 @@ def fetch_timeline( args["tweet_mode"] = "extended" min_seen_id = None num_rate_limit_errors = 0 + seen_count = 0 while True: if min_seen_id is not None: args["max_id"] = min_seen_id - 1 @@ -208,6 +209,7 @@ def fetch_timeline( yield tweet min_seen_id = min(t["id"] for t in tweets) max_seen_id = max(t["id"] for t in tweets) + seen_count += len(tweets) if last_since_id is not None: max_seen_id = max((last_since_id, max_seen_id)) last_since_id = max_seen_id @@ -217,7 +219,9 @@ def fetch_timeline( replace=True, ) if stop_after is not None: - break + if seen_count >= stop_after: + break + args["count"] = min(args["count"], stop_after - seen_count) time.sleep(sleep) ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | favorites --stop_after=N stops after min(N, 200) 698791218 | |
704503719 | https://github.com/dogsheep/github-to-sqlite/pull/48#issuecomment-704503719 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/48 | MDEyOklzc3VlQ29tbWVudDcwNDUwMzcxOQ== | adamjonas 755825 | 2020-10-06T19:26:59Z | 2020-10-06T19:26:59Z | CONTRIBUTOR | ref #46 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add pull requests 681228542 | |
707326192 | https://github.com/dogsheep/swarm-to-sqlite/pull/10#issuecomment-707326192 | https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/10 | MDEyOklzc3VlQ29tbWVudDcwNzMyNjE5Mg== | mattiaborsoi 29426418 | 2020-10-12T20:20:02Z | 2020-10-12T20:20:02Z | CONTRIBUTOR | This closes issue #8 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Update utils.py to fix sqlite3.OperationalError 719637258 | |
708520800 | https://github.com/simonw/datasette/issues/1019#issuecomment-708520800 | https://api.github.com/repos/simonw/datasette/issues/1019 | MDEyOklzc3VlQ29tbWVudDcwODUyMDgwMA== | jsfenfen 639012 | 2020-10-14T16:37:19Z | 2020-10-14T16:37:19Z | CONTRIBUTOR | 🎉 Thanks so much @simonw ! 🎉 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | "Edit SQL" button on canned queries 721050815 | |
714657366 | https://github.com/simonw/datasette/issues/1033#issuecomment-714657366 | https://api.github.com/repos/simonw/datasette/issues/1033 | MDEyOklzc3VlQ29tbWVudDcxNDY1NzM2Ng== | psychemedia 82988 | 2020-10-22T17:51:29Z | 2020-10-22T17:51:29Z | CONTRIBUTOR | How does `/-/static` relate to [current guidance docs around `static`](https://docs.datasette.io/en/latest/custom_templates.html?highlight=static#serving-static-files) regarding the `--static option` and metadata formulations such as `"extra_js_urls": [ "/static/app.js"]` (I've not managed to get this to work in a Jupyter server proxied set up; the [datasette / jupyter server proxy repo](https://github.com/simonw/jupyterserverproxy-datasette-demo) may provide a useful test example, eg via MyBinder, for folk to crib from?) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | datasette.urls.static_plugins(...) method 725099777 | |
714908859 | https://github.com/simonw/datasette/issues/1012#issuecomment-714908859 | https://api.github.com/repos/simonw/datasette/issues/1012 | MDEyOklzc3VlQ29tbWVudDcxNDkwODg1OQ== | bollwyvl 45380 | 2020-10-23T04:49:20Z | 2020-10-23T04:49:20Z | CONTRIBUTOR | Good luck on 1.0! It may also be worth lobbying for a `Framework::Datasette::1.0` classifier. This would be a nice way to allow the ecosystem to self-document a bit more [discoverably](https://pypi.org/search/?q=&o=&c=Framework+%3A%3A+Datasette%3A%3A+1.0). I was surprised to see the [PR for `Framework::Jupyter`](https://github.com/pypa/warehouse/pull/1905/files) is a... database migration! Of course, there may be more workflow to it! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | For 1.0 update trove classifier in setup.py 718540751 | |
716066000 | https://github.com/simonw/datasette/issues/1033#issuecomment-716066000 | https://api.github.com/repos/simonw/datasette/issues/1033 | MDEyOklzc3VlQ29tbWVudDcxNjA2NjAwMA== | psychemedia 82988 | 2020-10-24T22:58:33Z | 2020-10-24T22:58:33Z | CONTRIBUTOR | From [the docs](https://docs.datasette.io/en/latest/internals.html#datasette-urls), I note: ``` datasette.urls.instance() Returns the URL to the Datasette instance root page. This is usually "/" ``` What about the proxy case? Eg if I am using jupyter-server-proxy on a MyBinder or local Jupyter notebook server site, `https://example.com:PORT/weirdpath/datasette`, what does `datasette.urls.instance()` refer to? - [ ] `https://example.com:PORT/weirdpath/datasette` - [ ] `https://example.com:PORT/weirdpath/` - [ ] `https://example.com:PORT/` - [ ] `https://example.com` - [ ] something else? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | datasette.urls.static_plugins(...) method 725099777 | |
716123598 | https://github.com/simonw/datasette/issues/838#issuecomment-716123598 | https://api.github.com/repos/simonw/datasette/issues/838 | MDEyOklzc3VlQ29tbWVudDcxNjEyMzU5OA== | psychemedia 82988 | 2020-10-25T10:20:12Z | 2020-10-25T10:53:24Z | CONTRIBUTOR | I'm trying to [run something behind a MyBinder proxy](https://github.com/ouseful-testing/nbsearch), but seem to have something set up incorrectly and not sure what the fix is? I'm starting datasette with jupyter-server-proxy setup: ``` # __init__.py def setup_nbsearch(): return { "command": [ "datasette", "serve", f"{_NBSEARCH_DB_PATH}", "-p", "{port}", "--config", "base_url:{base_url}nbsearch/" ], "absolute_url": True, # The following needs a the labextension installing. # eg in postBuild: jupyter labextension install jupyterlab-server-proxy "launcher_entry": { "enabled": True, "title": "nbsearch", }, } ``` where the `base_url` gets automatically populated by the server-proxy. I define the loaders as: ``` # __init__.py from datasette import hookimpl @hookimpl def extra_css_urls(database, table, columns, view_name, datasette): return [ "/-/static-plugins/nbsearch/prism.css", "/-/static-plugins/nbsearch/nbsearch.css", ] ``` but these seem to also need a base_url prefix set somehow? Currently, the generated HTML loads properly but internal links are incorrect; eg they take the form `<link rel="stylesheet" href="/-/static-plugins/nbsearch/prism.css">` which resolves to eg `https://notebooks.gesis.org/hub/-/static-plugins/nbsearch/prism.css` rather than required URL of form `https://notebooks.gesis.org/binder/jupyter/user/ouseful-testing-nbsearch-0fx1mx67/nbsearch/-/static-plugins/nbsearch/prism.css`. The main css is loaded correctly: `<link rel="stylesheet" href="/binder/jupyter/user/ouseful-testing-nbsearch-0fx1mx67/nbsearch/-/static/app.css?404439">` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Incorrect URLs when served behind a proxy with base_url set 637395097 | |
716237524 | https://github.com/simonw/datasette/pull/1043#issuecomment-716237524 | https://api.github.com/repos/simonw/datasette/issues/1043 | MDEyOklzc3VlQ29tbWVudDcxNjIzNzUyNA== | bollwyvl 45380 | 2020-10-26T00:14:57Z | 2020-10-26T00:14:57Z | CONTRIBUTOR | Sorry, I was out of the loop this weekend. The missing sdists were in some the `datasette-*` plugins... i'll capture my findings more concretely in one spot when i have a chance... | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Include LICENSE in sdist 727915394 | |
717359145 | https://github.com/simonw/sqlite-utils/pull/189#issuecomment-717359145 | https://api.github.com/repos/simonw/sqlite-utils/issues/189 | MDEyOklzc3VlQ29tbWVudDcxNzM1OTE0NQ== | adamwolf 35681 | 2020-10-27T16:20:32Z | 2020-10-27T16:20:32Z | CONTRIBUTOR | No problem. I added a test. Let me know if it looks sufficient or if you want me to to tweak something! If you don't mind, would you tag this PR as "hacktoberfest-accepted"? If you do mind, no problem and I'm sorry for asking :) My kiddos like the shirts. | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Allow iterables other than Lists in m2m records 729818242 | |
718528252 | https://github.com/simonw/datasette/pull/1049#issuecomment-718528252 | https://api.github.com/repos/simonw/datasette/issues/1049 | MDEyOklzc3VlQ29tbWVudDcxODUyODI1Mg== | psychemedia 82988 | 2020-10-29T09:20:34Z | 2020-10-29T09:20:34Z | CONTRIBUTOR | That workaround is probably fine. I was trying to work out whether there might be other situations where a pre-external package load might be useful but couldn't offhand bring any other examples to mind. The static plugins option also looks interesting. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add template block prior to extra URL loaders 729017519 | |
720354227 | https://github.com/simonw/datasette/issues/838#issuecomment-720354227 | https://api.github.com/repos/simonw/datasette/issues/838 | MDEyOklzc3VlQ29tbWVudDcyMDM1NDIyNw== | psychemedia 82988 | 2020-11-02T09:33:58Z | 2020-11-02T09:33:58Z | CONTRIBUTOR | Thanks; just a note that the `datasette.urls.static(path)` and `datasette.urls.static_plugins(plugin_name, path)` items both seem to be repeated and appear in the docs twice? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Incorrect URLs when served behind a proxy with base_url set 637395097 | |
735279355 | https://github.com/simonw/datasette/pull/1112#issuecomment-735279355 | https://api.github.com/repos/simonw/datasette/issues/1112 | MDEyOklzc3VlQ29tbWVudDczNTI3OTM1NQ== | jefftriplett 50527 | 2020-11-28T19:21:09Z | 2020-11-28T19:21:09Z | CONTRIBUTOR | (Even more annoying is that I see my editor leaked an extra delete space at the end of the line. I'm happy to rebuild this to be less annoying, but you probably don't want the changelog update either way) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Fix --metadata doc usage 752749485 | |
735281577 | https://github.com/simonw/datasette/issues/493#issuecomment-735281577 | https://api.github.com/repos/simonw/datasette/issues/493 | MDEyOklzc3VlQ29tbWVudDczNTI4MTU3Nw== | jefftriplett 50527 | 2020-11-28T19:39:53Z | 2020-11-28T19:39:53Z | CONTRIBUTOR | I was confused by `--config` and I tried passing the json from datasette-ripgrep into `config.json` just as a wild guess. A short term solution might be pointing out in plugins that their snippet json can go in `metadata.json` at least makes it easier to search for config options or to know where to start if someone is new. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Rename metadata.json to config.json 449886319 | |
735436014 | https://github.com/simonw/datasette/issues/1114#issuecomment-735436014 | https://api.github.com/repos/simonw/datasette/issues/1114 | MDEyOklzc3VlQ29tbWVudDczNTQzNjAxNA== | danp 2182 | 2020-11-29T18:33:30Z | 2020-11-29T18:33:30Z | CONTRIBUTOR | Thank you! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | --load-extension=spatialite not working with datasetteproject/datasette docker image 752966476 | |
736322290 | https://github.com/simonw/datasette/issues/1111#issuecomment-736322290 | https://api.github.com/repos/simonw/datasette/issues/1111 | MDEyOklzc3VlQ29tbWVudDczNjMyMjI5MA== | abdusco 3243482 | 2020-12-01T08:54:47Z | 2020-12-01T08:54:47Z | CONTRIBUTOR | Somewhat related: https://github.com/simonw/datasette/issues/859 I fixed the issue with forking and disabling the counts for hidden tables. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Accessing a database's `.json` is slow for very large SQLite files 751195017 | |
738907852 | https://github.com/simonw/datasette/pull/1130#issuecomment-738907852 | https://api.github.com/repos/simonw/datasette/issues/1130 | MDEyOklzc3VlQ29tbWVudDczODkwNzg1Mg== | abdusco 3243482 | 2020-12-04T17:22:29Z | 2020-12-04T17:31:25Z | CONTRIBUTOR | EDIT: I misunderstood the problem. This seems like a fix better suited for Safari. But I don't have any Apple device to test it. ```css body { min-height: 100vh; min-height: -webkit-fill-available; } html { height: -webkit-fill-available; } ``` https://css-tricks.com/css-fix-for-100vh-in-mobile-webkit/ --- It's actually not that difficult to fix. Well, this is actually a workaround to keep viewport in place. I usually put a transition (forgot to do it here) that keeps page from resizing. ```css .container { min-height: 100vh; transition: height 10000s steps(0); } ``` `steps()` function prevents excessive layout calculations, and lets the page snap back into place (10000s ~= 3h later) in a single step. This fix also prevents page from jumping around when the keyboard pops up and down. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Fix footer not sticking to bottom in short pages 756876238 | |
743080047 | https://github.com/simonw/datasette/issues/998#issuecomment-743080047 | https://api.github.com/repos/simonw/datasette/issues/998 | MDEyOklzc3VlQ29tbWVudDc0MzA4MDA0Nw== | JBPressac 6371750 | 2020-12-11T09:25:09Z | 2020-12-11T09:25:09Z | CONTRIBUTOR | Hello Simon, I have a similar problem with horizontal scrollbar display with Datasette version 0.51 and superior for a table with more than 30 rows. With Datasette 0.50, the horizontal scrollbar is displayed, if I upgrade Datasette to 0.51 and superior, the horizontal scrollbar disappears. Datasette 0.50: horizontal scrollbar ![2020-12-11 10_23_28-CN=Microsoft Windows, O=Microsoft Corporation, L=Redmond, S=Washington, C=US](https://user-images.githubusercontent.com/6371750/101885620-a5f17800-3b9a-11eb-8870-654e7d4372ca.png) Datasette 0.51 and superior: no horizontal scrollbar ![2020-12-11 10_24_55-CN=Microsoft Windows, O=Microsoft Corporation, L=Redmond, S=Washington, C=US](https://user-images.githubusercontent.com/6371750/101885782-dfc27e80-3b9a-11eb-9d55-6c9a56227bf2.png) Thanks, | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Wide tables should scroll horizontally within the page 717699884 | |
748305976 | https://github.com/simonw/datasette/issues/493#issuecomment-748305976 | https://api.github.com/repos/simonw/datasette/issues/493 | MDEyOklzc3VlQ29tbWVudDc0ODMwNTk3Ng== | jefftriplett 50527 | 2020-12-18T20:34:39Z | 2020-12-18T20:34:39Z | CONTRIBUTOR | I can't keep up with the renaming contexts, but I like having the ability to run datasette+ datasette-ripgrep against different configs: ```shell datasette serve --metadata=./metadata.json ``` I have one for all of my code and one per client who has lots of code. So as long as I can point to datasette to something, it's easy to work with. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Rename metadata.json to config.json 449886319 | |
748436779 | https://github.com/dogsheep/dogsheep-photos/issues/15#issuecomment-748436779 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/15 | MDEyOklzc3VlQ29tbWVudDc0ODQzNjc3OQ== | RhetTbull 41546558 | 2020-12-19T07:49:00Z | 2020-12-19T07:49:00Z | CONTRIBUTOR | @nickvazz ZGENERICASSET changed to ZASSET in Big Sur. Here's a list of other changes to the schema in Big Sur: https://github.com/RhetTbull/osxphotos/wiki/Changes-in-Photos-6---Big-Sur | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Expose scores from ZCOMPUTEDASSETATTRIBUTES 612151767 | |
748562288 | https://github.com/dogsheep/dogsheep-photos/issues/15#issuecomment-748562288 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/15 | MDEyOklzc3VlQ29tbWVudDc0ODU2MjI4OA== | RhetTbull 41546558 | 2020-12-20T04:44:22Z | 2020-12-20T04:44:22Z | CONTRIBUTOR | @nickvazz @simonw I opened a [PR](https://github.com/dogsheep/dogsheep-photos/pull/31) that replaces the SQL for `ZCOMPUTEDASSETATTRIBUTES` to use osxphotos which now exposes all this data and has been updated for Big Sur. I did regression tests to confirm the extracted data is identical, with one exception which should not affect operation: the old code pulled data from `ZCOMPUTEDASSETATTRIBUTES` for missing photos while the main loop ignores missing photos and does not add them to `apple_photos`. The new code does not add rows to the `apple_photos_scores` table for missing photos. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Expose scores from ZCOMPUTEDASSETATTRIBUTES 612151767 | |
748562330 | https://github.com/dogsheep/dogsheep-photos/pull/31#issuecomment-748562330 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/31 | MDEyOklzc3VlQ29tbWVudDc0ODU2MjMzMA== | RhetTbull 41546558 | 2020-12-20T04:45:08Z | 2020-12-20T04:45:08Z | CONTRIBUTOR | Fixes the issue mentioned here: https://github.com/dogsheep/dogsheep-photos/issues/15#issuecomment-748436115 | {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Update for Big Sur 771511344 | |
750389683 | https://github.com/simonw/datasette/pull/1158#issuecomment-750389683 | https://api.github.com/repos/simonw/datasette/issues/1158 | MDEyOklzc3VlQ29tbWVudDc1MDM4OTY4Mw== | eumiro 6774676 | 2020-12-23T17:02:50Z | 2020-12-23T17:02:50Z | CONTRIBUTOR | The dict/set suggestion comes from `pyupgrade --py36-plus`, but then had to `black` the change. The rest comes from PyCharm's Inspect code function. I reviewed all the suggestions and fixed a thing or two, such as leading/trailing spaces in the docstrings or turned around the chained conditions. Then I tried to convert all `os.path/glob/open` to `Path`, but there were some local test issues, so I'll have to start over in smaller chunks if you want to have that too. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Modernize code to Python 3.6+ 773913793 | |
751375487 | https://github.com/dogsheep/github-to-sqlite/pull/59#issuecomment-751375487 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/59 | MDEyOklzc3VlQ29tbWVudDc1MTM3NTQ4Nw== | frosencrantz 631242 | 2020-12-26T17:08:44Z | 2020-12-26T17:08:44Z | CONTRIBUTOR | Hi @simonw, do I need to do anything else for this PR to be considered to be included? I've tried using this project and it is quite nice to be able to explore a repository, but noticed that a couple commands don't allow you to use authorization from the environment variable. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Remove unneeded exists=True for -a/--auth flag. 771872303 | |
752098906 | https://github.com/simonw/datasette/issues/417#issuecomment-752098906 | https://api.github.com/repos/simonw/datasette/issues/417 | MDEyOklzc3VlQ29tbWVudDc1MjA5ODkwNg== | psychemedia 82988 | 2020-12-29T14:34:30Z | 2020-12-29T14:34:50Z | CONTRIBUTOR | FWIW, I had a look at `watchdog` for a `datasette` powered Jupyter notebook search tool: https://github.com/ouseful-testing/nbsearch/blob/main/nbsearch/nbwatchdog.py Not a production thing, just an experiment trying to explore what might be possible... | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Datasette Library 421546944 | |
753531657 | https://github.com/simonw/datasette/issues/1012#issuecomment-753531657 | https://api.github.com/repos/simonw/datasette/issues/1012 | MDEyOklzc3VlQ29tbWVudDc1MzUzMTY1Nw== | bollwyvl 45380 | 2021-01-02T21:25:36Z | 2021-01-02T21:25:36Z | CONTRIBUTOR | Actually, on more research, I found out this is handled by the [trove-classifiers package](https://github.com/pypa/trove-classifiers/blob/master/src/trove_classifiers/__init__.py#L2) now, so it's just a one-liner pr instead of fire-up-a-docker-container-and-do-some-migrations | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | For 1.0 update trove classifier in setup.py 718540751 | |
754004715 | https://github.com/simonw/datasette/pull/1170#issuecomment-754004715 | https://api.github.com/repos/simonw/datasette/issues/1170 | MDEyOklzc3VlQ29tbWVudDc1NDAwNDcxNQ== | benpickles 3637 | 2021-01-04T14:25:44Z | 2021-01-04T14:25:44Z | CONTRIBUTOR | I was going to re-add the filter to only run Prettier when there have been changes in `datasette/static` but that would mean it wouldn't run when the package is updated. That plus the fact that [the last run of the job took only 8 seconds](https://github.com/benpickles/datasette/runs/1640121514) is why I decided not to re-add the filter. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Install Prettier via package.json 778126516 | |
754007242 | https://github.com/simonw/datasette/issues/1169#issuecomment-754007242 | https://api.github.com/repos/simonw/datasette/issues/1169 | MDEyOklzc3VlQ29tbWVudDc1NDAwNzI0Mg== | benpickles 3637 | 2021-01-04T14:29:57Z | 2021-01-04T14:29:57Z | CONTRIBUTOR | I somewhat share your reluctance to add a package.json to seemingly every project out there but ultimately if they're project dependencies it's important they're managed within the codebase. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Prettier package not actually being cached 777677671 | |
754619930 | https://github.com/simonw/datasette/issues/1167#issuecomment-754619930 | https://api.github.com/repos/simonw/datasette/issues/1167 | MDEyOklzc3VlQ29tbWVudDc1NDYxOTkzMA== | benpickles 3637 | 2021-01-05T12:57:57Z | 2021-01-05T12:57:57Z | CONTRIBUTOR | Not sure where exactly to put the actual docs (presumably somewhere in [docs/contributing.rst](https://github.com/simonw/datasette/blob/main/docs/contributing.rst)) but I've made a slight change to make it easier to run locally (copying [the approach in excalidraw](https://github.com/excalidraw/excalidraw/blob/ade2565f497243a5e428f4906d8ed80c872fd981/package.json#L90-L94)): https://github.com/simonw/datasette/compare/main...benpickles:prettier-docs | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add Prettier to contributing documentation 777145954 | |
754721153 | https://github.com/dogsheep/twitter-to-sqlite/issues/54#issuecomment-754721153 | https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/54 | MDEyOklzc3VlQ29tbWVudDc1NDcyMTE1Mw== | jacobian 21148 | 2021-01-05T15:51:09Z | 2021-01-05T15:51:09Z | CONTRIBUTOR | Correction: the failure is on `lists-member.js` (I was thrown by the `block` variable name, but that's just a coincidence) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Archive import appears to be broken on recent exports 779088071 | |
754728696 | https://github.com/dogsheep/twitter-to-sqlite/pull/55#issuecomment-754728696 | https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/55 | MDEyOklzc3VlQ29tbWVudDc1NDcyODY5Ng== | jacobian 21148 | 2021-01-05T16:02:55Z | 2021-01-05T16:02:55Z | CONTRIBUTOR | This now works for me, though I'm entirely ensure if it's a just-my-export thing or a wider issue. Also, this doesn't contain any tests. So I'm not sure if there's more work to be done here, or if this is good enough. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Fix archive imports 779211940 |
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