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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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380608372 | https://github.com/simonw/datasette/pull/200#issuecomment-380608372 | https://api.github.com/repos/simonw/datasette/issues/200 | MDEyOklzc3VlQ29tbWVudDM4MDYwODM3Mg== | russss 45057 | 2018-04-11T21:55:46Z | 2018-04-11T21:55:46Z | CONTRIBUTOR |
Or just see if there's a |
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Hide Spatialite system tables 313494458 | |
380966565 | https://github.com/simonw/datasette/issues/203#issuecomment-380966565 | https://api.github.com/repos/simonw/datasette/issues/203 | MDEyOklzc3VlQ29tbWVudDM4MDk2NjU2NQ== | russss 45057 | 2018-04-12T22:43:08Z | 2018-04-12T22:43:08Z | CONTRIBUTOR | Looks like pint is pretty good at this. ```python In [1]: import pint In [2]: ureg = pint.UnitRegistry() In [3]: q = 3e6 * ureg('Hz') In [4]: '{:~P}'.format(q.to_compact()) Out[4]: '3.0 MHz' In [5]: q = 0.3 * ureg('m') In [5]: '{:~P}'.format(q.to_compact()) Out[5]: '300.0 mm' In [6]: q = 5 * ureg('') In [7]: '{:~P}'.format(q.to_compact()) Out[7]: '5' ``` |
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Support for units 313837303 | |
381237440 | https://github.com/simonw/datasette/pull/202#issuecomment-381237440 | https://api.github.com/repos/simonw/datasette/issues/202 | MDEyOklzc3VlQ29tbWVudDM4MTIzNzQ0MA== | russss 45057 | 2018-04-13T19:22:53Z | 2018-04-13T19:22:53Z | CONTRIBUTOR | I spotted you'd mentioned that in #184 but only after I'd written the patch! |
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Raise 404 on nonexistent table URLs 313785206 | |
381315675 | https://github.com/simonw/datasette/issues/203#issuecomment-381315675 | https://api.github.com/repos/simonw/datasette/issues/203 | MDEyOklzc3VlQ29tbWVudDM4MTMxNTY3NQ== | russss 45057 | 2018-04-14T09:14:45Z | 2018-04-14T09:27:30Z | CONTRIBUTOR |
<s>From a machine-readable perspective I'm not sure why it would be useful to decorate the values with units</s>. Edit: Should have had some coffee first. It's clearly useful for stuff like map rendering! I agree that the unit metadata should definitely be exposed in the JSON.
I'm thinking about a couple of approaches here. I think the simplest one is: if the column has a unit attached, optionally accept units in query fields: ```python column_units = ureg("Hz") # Create a unit object for the column's unit query_variable = ureg("4 GHz") # Supplied query variable Now we can convert the query units into column units before queryingsupplied_value.to(column_units).magnitude
If the user doesn't supply units, pint just returns the plainnumber and we can query as usual assuming it's the base unitquery_variable = ureg("50") query_variable
isinstance(query_variable, numbers.Number)
This also lets us do some nice unit conversion on querying: ```python column_units = ureg("m") query_variable = ureg("50 ft") supplied_value.to(column_units)
The alternative would be to provide a dropdown of units next to the query field (so a "Hz" field would give you "kHz", "MHz", "GHz"). Although this would be clearer to the user, it isn't so easy - we'd need to know more about the context of the field to give you sensible SI prefixes (I'm not so interested in nanoHertz, for example). You also lose the bonus of being able to convert - although pint will happily show you all the compatible units, it again suffers from a lack of context: ```python ureg("m").compatible_units()
|
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Support for units 313837303 | |
381332222 | https://github.com/simonw/datasette/pull/205#issuecomment-381332222 | https://api.github.com/repos/simonw/datasette/issues/205 | MDEyOklzc3VlQ29tbWVudDM4MTMzMjIyMg== | russss 45057 | 2018-04-14T14:16:35Z | 2018-04-14T14:16:35Z | CONTRIBUTOR | I've added some tests and that docs link. |
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Support filtering with units and more 314319372 | |
381361734 | https://github.com/simonw/datasette/issues/125#issuecomment-381361734 | https://api.github.com/repos/simonw/datasette/issues/125 | MDEyOklzc3VlQ29tbWVudDM4MTM2MTczNA== | russss 45057 | 2018-04-14T21:26:30Z | 2018-04-14T21:26:30Z | CONTRIBUTOR | FWIW I am now doing this on my WTR app (instead of silently limiting maps to 1000). Telefonica now has about 4000 markers and good old BT has 22,000 or so. |
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Plot rows on a map with Leaflet and Leaflet.markercluster 275135393 | |
381441392 | https://github.com/simonw/datasette/pull/209#issuecomment-381441392 | https://api.github.com/repos/simonw/datasette/issues/209 | MDEyOklzc3VlQ29tbWVudDM4MTQ0MTM5Mg== | russss 45057 | 2018-04-15T21:59:15Z | 2018-04-15T21:59:15Z | CONTRIBUTOR | I suspected this would cause some test failures, but I'll wait for opinions before attempting to fix them. |
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Don't duplicate simple primary keys in the link column 314455877 | |
381738137 | https://github.com/simonw/datasette/pull/209#issuecomment-381738137 | https://api.github.com/repos/simonw/datasette/issues/209 | MDEyOklzc3VlQ29tbWVudDM4MTczODEzNw== | russss 45057 | 2018-04-16T20:27:43Z | 2018-04-16T20:27:43Z | CONTRIBUTOR | Tests now fixed, honest. The failing test on Travis looks like an intermittent sqlite failure which should resolve itself on a retry... |
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Don't duplicate simple primary keys in the link column 314455877 | |
381763651 | https://github.com/simonw/datasette/issues/203#issuecomment-381763651 | https://api.github.com/repos/simonw/datasette/issues/203 | MDEyOklzc3VlQ29tbWVudDM4MTc2MzY1MQ== | russss 45057 | 2018-04-16T21:59:17Z | 2018-04-16T21:59:17Z | CONTRIBUTOR | Ah, I had no idea you could bind python functions into sqlite! I think the primary purpose of this issue has been served now - I'm going to close this and create a new issue for the only bit of this that hasn't been touched yet, which is (optionally) exposing units in the JSON API. |
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Support for units 313837303 | |
381905593 | https://github.com/simonw/datasette/pull/209#issuecomment-381905593 | https://api.github.com/repos/simonw/datasette/issues/209 | MDEyOklzc3VlQ29tbWVudDM4MTkwNTU5Mw== | russss 45057 | 2018-04-17T08:50:28Z | 2018-04-17T08:50:28Z | CONTRIBUTOR | I've added another commit which puts classes a class on each Unfortunately the tests are still failing on 3.6, which is weird. I can't reproduce locally... |
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Don't duplicate simple primary keys in the link column 314455877 | |
390795067 | https://github.com/simonw/datasette/issues/276#issuecomment-390795067 | https://api.github.com/repos/simonw/datasette/issues/276 | MDEyOklzc3VlQ29tbWVudDM5MDc5NTA2Nw== | russss 45057 | 2018-05-21T21:55:57Z | 2018-05-21T21:55:57Z | CONTRIBUTOR | Well, we do have the capability to detect spatialite so my intention certainly wasn't to require it. I can see the advantage of having it as a plugin but it does touch a number of points in the code. I think I'm going to attack this by refactoring the necessary bits and seeing where that leads (which was my plan anyway). I think my main concern is - if I add certain plugin hooks for this, is anything else ever going to use them? I'm not sure I have an answer to that question yet, either way. |
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Handle spatialite geometry columns better 324835838 | |
391050113 | https://github.com/simonw/datasette/issues/276#issuecomment-391050113 | https://api.github.com/repos/simonw/datasette/issues/276 | MDEyOklzc3VlQ29tbWVudDM5MTA1MDExMw== | russss 45057 | 2018-05-22T16:13:00Z | 2018-05-22T16:13:00Z | CONTRIBUTOR | Yup, I'll have a think about it. My current thoughts are for spatialite we'll need to hook into the following places:
The rendering and querying hooks could also potentially be used to move the units support into a plugin. |
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Handle spatialite geometry columns better 324835838 | |
391505930 | https://github.com/simonw/datasette/issues/276#issuecomment-391505930 | https://api.github.com/repos/simonw/datasette/issues/276 | MDEyOklzc3VlQ29tbWVudDM5MTUwNTkzMA== | russss 45057 | 2018-05-23T21:41:37Z | 2018-05-23T21:41:37Z | CONTRIBUTOR |
Ah I didn't mean that - I meant altering the SELECT query to fetch the data so that it ran a spatialite function to transform that specific column. I think that's less useful as a general-purpose plugin hook though, and it's not that hard to parse the WKB in Python (my default approach would be to use shapely, which is great, but geomet looks like an interesting pure-python alternative). |
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Handle spatialite geometry columns better 324835838 | |
392825746 | https://github.com/simonw/datasette/issues/276#issuecomment-392825746 | https://api.github.com/repos/simonw/datasette/issues/276 | MDEyOklzc3VlQ29tbWVudDM5MjgyNTc0Ng== | russss 45057 | 2018-05-29T15:42:53Z | 2018-05-29T15:42:53Z | CONTRIBUTOR | I haven't had time to look further into this, but if doing this as a plugin results in useful hooks then I think we should do it that way. We could always require the plugin as a standard dependency. I think this is going to result in quite a bit of refactoring anyway so it's a good time to add hooks regardless. On the other hand, if we have to add lots of specialist hooks for it then maybe it's worth integrating into the core. |
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Handle spatialite geometry columns better 324835838 | |
393106520 | https://github.com/simonw/datasette/issues/276#issuecomment-393106520 | https://api.github.com/repos/simonw/datasette/issues/276 | MDEyOklzc3VlQ29tbWVudDM5MzEwNjUyMA== | russss 45057 | 2018-05-30T10:09:25Z | 2018-05-30T10:09:25Z | CONTRIBUTOR | I don't think it's unreasonable to only support spatialite geometries in a coordinate reference system which is at least transformable to WGS84. It would be nice to support different CRSes in the database so conversion to spatialite from the source data is lossless. I think the working CRS for datasette should be WGS84 though (leaflet requires it, for example) - it's just a case of calling |
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Handle spatialite geometry columns better 324835838 | |
401312981 | https://github.com/simonw/datasette/issues/276#issuecomment-401312981 | https://api.github.com/repos/simonw/datasette/issues/276 | MDEyOklzc3VlQ29tbWVudDQwMTMxMjk4MQ== | russss 45057 | 2018-06-29T10:14:54Z | 2018-06-29T10:14:54Z | CONTRIBUTOR |
Well, as @simonw mentioned, GeoJSON only supports WGS84, and GeoJSON (and/or TopoJSON) is the standard we probably want to aim for. On-the-fly reprojection in spatialite is not an issue anyway, and in general I think you want to be serving stuff to web maps in WGS84 or Web Mercator. |
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Handle spatialite geometry columns better 324835838 | |
405022335 | https://github.com/simonw/datasette/issues/344#issuecomment-405022335 | https://api.github.com/repos/simonw/datasette/issues/344 | MDEyOklzc3VlQ29tbWVudDQwNTAyMjMzNQ== | russss 45057 | 2018-07-14T13:00:48Z | 2018-07-14T13:00:48Z | CONTRIBUTOR | Looks like this was a red herring actually, and heroku had a blip when I was testing it... |
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datasette publish heroku fails without name provided 341229113 | |
405026441 | https://github.com/simonw/datasette/issues/343#issuecomment-405026441 | https://api.github.com/repos/simonw/datasette/issues/343 | MDEyOklzc3VlQ29tbWVudDQwNTAyNjQ0MQ== | russss 45057 | 2018-07-14T14:17:14Z | 2018-07-14T14:17:14Z | CONTRIBUTOR | This probably depends on #294. |
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Render boolean fields better by default 341228846 | |
405026800 | https://github.com/simonw/datasette/issues/294#issuecomment-405026800 | https://api.github.com/repos/simonw/datasette/issues/294 | MDEyOklzc3VlQ29tbWVudDQwNTAyNjgwMA== | russss 45057 | 2018-07-14T14:24:31Z | 2018-07-14T14:24:31Z | CONTRIBUTOR | I had a quick look at this in relation to #343 and I feel like it might be worth modelling the inspected table metadata internally as an object rather than a dict. (We'd still have to serialise it back to JSON.) There are a few places where we rely on the structure of this metadata dict for various reasons, including in templates (and potentially also in user templates). It would be nice to have a reasonably well defined API for accessing metadata internally so that it's clearer what we're breaking. |
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inspect should record column types 327365110 | |
487537452 | https://github.com/simonw/datasette/pull/437#issuecomment-487537452 | https://api.github.com/repos/simonw/datasette/issues/437 | MDEyOklzc3VlQ29tbWVudDQ4NzUzNzQ1Mg== | russss 45057 | 2019-04-29T10:58:49Z | 2019-04-29T10:58:49Z | CONTRIBUTOR | I've just spotted that this implements #215. |
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Add inspect and prepare_sanic hooks 438048318 | |
487542486 | https://github.com/simonw/datasette/pull/439#issuecomment-487542486 | https://api.github.com/repos/simonw/datasette/issues/439 | MDEyOklzc3VlQ29tbWVudDQ4NzU0MjQ4Ng== | russss 45057 | 2019-04-29T11:20:30Z | 2019-04-29T11:20:30Z | CONTRIBUTOR | Actually I think this is not the whole story because of the rowid issue. I'm going to think about this one a bit more. |
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[WIP] Add primary key to the extra_body_script hook arguments 438240541 | |
487686655 | https://github.com/simonw/datasette/pull/441#issuecomment-487686655 | https://api.github.com/repos/simonw/datasette/issues/441 | MDEyOklzc3VlQ29tbWVudDQ4NzY4NjY1NQ== | russss 45057 | 2019-04-29T18:14:25Z | 2019-04-29T18:14:25Z | CONTRIBUTOR | Subsidiary note which I forgot in the commit message: I've decided to give each view a short string name to aid in differentiating which view a hook is being called from. Since hooks are functions and not subclasses, and can get called from different places in the URL hierarchy, it's sometimes difficult to distinguish what data you're actually operating on. I think this will come in handy for other hooks as well. |
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Add register_output_renderer hook 438437973 | |
487689477 | https://github.com/simonw/datasette/pull/424#issuecomment-487689477 | https://api.github.com/repos/simonw/datasette/issues/424 | MDEyOklzc3VlQ29tbWVudDQ4NzY4OTQ3Nw== | russss 45057 | 2019-04-29T18:22:40Z | 2019-04-29T18:22:40Z | CONTRIBUTOR | This is pretty conflicty because I forgot how to use git fetch. If you're interested in merging this I'll rewrite it against an actual modern checkout... |
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Column types in inspected metadata 427429265 | |
487692377 | https://github.com/simonw/datasette/pull/424#issuecomment-487692377 | https://api.github.com/repos/simonw/datasette/issues/424 | MDEyOklzc3VlQ29tbWVudDQ4NzY5MjM3Nw== | russss 45057 | 2019-04-29T18:30:46Z | 2019-04-29T18:30:46Z | CONTRIBUTOR | Actually no, I ended up not using the inspected column types in my plugin, and the binary column issue can be solved a lot more simply, so I'll close this. |
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Column types in inspected metadata 427429265 | |
487723476 | https://github.com/simonw/datasette/pull/441#issuecomment-487723476 | https://api.github.com/repos/simonw/datasette/issues/441 | MDEyOklzc3VlQ29tbWVudDQ4NzcyMzQ3Ng== | russss 45057 | 2019-04-29T20:05:23Z | 2019-04-29T20:05:23Z | CONTRIBUTOR | This is the minimal example (I also included it in the docs): ```python from datasette import hookimpl def render_test(args, data, view_name): return { 'body': 'Hello World', 'content_type': 'text/plain' } @hookimpl def register_output_renderer(): return { 'extension': 'test', 'callback': render_test } ``` I'm working on the GeoJSON one now and it should be ready soon. (I forgot I was going to run into the same problem as before - that Spatialite's stupid binary format isn't WKB and I have no way of altering the query to change that - but I've just managed to write some code to rearrange the bytes from Spatialite blob-geometry into WKB...) |
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Add register_output_renderer hook 438437973 | |
487724539 | https://github.com/simonw/datasette/pull/441#issuecomment-487724539 | https://api.github.com/repos/simonw/datasette/issues/441 | MDEyOklzc3VlQ29tbWVudDQ4NzcyNDUzOQ== | russss 45057 | 2019-04-29T20:08:32Z | 2019-04-29T20:08:32Z | CONTRIBUTOR | I also just realised that I should be passing the datasette object into the hook function...as I just found I need it. So hold off merging until I've fixed that. |
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Add register_output_renderer hook 438437973 | |
487735247 | https://github.com/simonw/datasette/pull/441#issuecomment-487735247 | https://api.github.com/repos/simonw/datasette/issues/441 | MDEyOklzc3VlQ29tbWVudDQ4NzczNTI0Nw== | russss 45057 | 2019-04-29T20:39:43Z | 2019-04-29T20:39:43Z | CONTRIBUTOR | I updated the hook to pass the datasette object through now. You can see the working GeoJSON render function here - the hook function is here. |
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Add register_output_renderer hook 438437973 | |
487748271 | https://github.com/simonw/datasette/pull/441#issuecomment-487748271 | https://api.github.com/repos/simonw/datasette/issues/441 | MDEyOklzc3VlQ29tbWVudDQ4Nzc0ODI3MQ== | russss 45057 | 2019-04-29T21:20:17Z | 2019-04-29T21:20:17Z | CONTRIBUTOR | Also I just pushed a change to add registered output renderers to the templates:
|
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Add register_output_renderer hook 438437973 | |
487859345 | https://github.com/simonw/datasette/pull/439#issuecomment-487859345 | https://api.github.com/repos/simonw/datasette/issues/439 | MDEyOklzc3VlQ29tbWVudDQ4Nzg1OTM0NQ== | russss 45057 | 2019-04-30T08:21:19Z | 2019-04-30T08:21:19Z | CONTRIBUTOR | I think the best approach to this is to pass through the |
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[WIP] Add primary key to the extra_body_script hook arguments 438240541 | |
488247617 | https://github.com/simonw/datasette/pull/441#issuecomment-488247617 | https://api.github.com/repos/simonw/datasette/issues/441 | MDEyOklzc3VlQ29tbWVudDQ4ODI0NzYxNw== | russss 45057 | 2019-05-01T09:57:50Z | 2019-05-01T09:57:50Z | CONTRIBUTOR | Just for the record, this PR is now finished and ready to merge from my perspective. |
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Add register_output_renderer hook 438437973 | |
488595724 | https://github.com/simonw/datasette/pull/432#issuecomment-488595724 | https://api.github.com/repos/simonw/datasette/issues/432 | MDEyOklzc3VlQ29tbWVudDQ4ODU5NTcyNA== | russss 45057 | 2019-05-02T08:50:53Z | 2019-05-02T08:50:53Z | CONTRIBUTOR |
I was thinking that it might be handy for datasette to have a request object which wraps the Sanic Request. This could include the datasette-specific querystring decoding and the This would mean that we could expose the request object to plugin hooks without coupling them to Sanic. |
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Refactor facets to a class and new plugin, refs #427 432893491 | |
489060765 | https://github.com/simonw/datasette/issues/419#issuecomment-489060765 | https://api.github.com/repos/simonw/datasette/issues/419 | MDEyOklzc3VlQ29tbWVudDQ4OTA2MDc2NQ== | russss 45057 | 2019-05-03T11:07:42Z | 2019-05-03T11:07:42Z | CONTRIBUTOR | Are you planning on removing inspect entirely? I didn't spot this work before I started on datasette-geo, but ironically I think it has a use case which really needs the inspect functionality (or some replacement). Datasette-geo uses it to store the bounding box of all the geographic features in the table. This is needed when rendering the map because it avoids having to send loads of tile requests for areas which are empty. Even with relatively small datasets, calculating the bounding box seems to take around 5 seconds, so I don't think it's really feasible to do this on page load. One possible fix would be to do this on startup, and then in a thread which watches the database for changes. |
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Default to opening files in mutable mode, special option for immutable files 421551434 | |
489221481 | https://github.com/simonw/datasette/issues/446#issuecomment-489221481 | https://api.github.com/repos/simonw/datasette/issues/446 | MDEyOklzc3VlQ29tbWVudDQ4OTIyMTQ4MQ== | russss 45057 | 2019-05-03T19:58:31Z | 2019-05-03T19:58:31Z | CONTRIBUTOR | In this particular case I don't think there's an issue making all those required. However, I suspect we might have to allow optional values at some point - my preferred solution to russss/datasette-geo#2 would need one. |
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Define mechanism for plugins to return structured data 440134714 | |
489222223 | https://github.com/simonw/datasette/issues/446#issuecomment-489222223 | https://api.github.com/repos/simonw/datasette/issues/446 | MDEyOklzc3VlQ29tbWVudDQ4OTIyMjIyMw== | russss 45057 | 2019-05-03T20:01:19Z | 2019-05-03T20:01:29Z | CONTRIBUTOR | Also I have a slight preference against (ab)using |
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Define mechanism for plugins to return structured data 440134714 | |
489342728 | https://github.com/simonw/datasette/pull/450#issuecomment-489342728 | https://api.github.com/repos/simonw/datasette/issues/450 | MDEyOklzc3VlQ29tbWVudDQ4OTM0MjcyOA== | russss 45057 | 2019-05-04T16:37:35Z | 2019-05-04T16:37:35Z | CONTRIBUTOR | For a bit more context: this fixes a crash with |
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Coalesce hidden table count to 0 440304714 | |
504662904 | https://github.com/simonw/datasette/issues/514#issuecomment-504662904 | https://api.github.com/repos/simonw/datasette/issues/514 | MDEyOklzc3VlQ29tbWVudDUwNDY2MjkwNA== | russss 45057 | 2019-06-22T12:45:21Z | 2019-06-22T12:45:39Z | CONTRIBUTOR | On most modern Linux distros, systemd is the easiest answer. Example systemd unit file (save to [Service] Type=simple User=<username> WorkingDirectory=/path/to/data ExecStart=/path/to/datasette serve -h 0.0.0.0 ./my.db Restart=on-failure [Install] WantedBy=multi-user.target ``` Activate it with:
Logs are best viewed using |
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Documentation with recommendations on running Datasette in production without using Docker 459397625 | |
504663766 | https://github.com/simonw/datasette/issues/514#issuecomment-504663766 | https://api.github.com/repos/simonw/datasette/issues/514 | MDEyOklzc3VlQ29tbWVudDUwNDY2Mzc2Ng== | russss 45057 | 2019-06-22T12:57:59Z | 2019-06-22T12:57:59Z | CONTRIBUTOR |
I wasn't even aware it was possible to add a systemd service at an arbitrary path, but it seems a little messy to me. Maybe worth noting that systemd does support per-user services which don't require root access. Cool but probably overkill for most people (especially when you're going to need root to listen on port 80 anyway, directly or via a reverse proxy). |
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Documentation with recommendations on running Datasette in production without using Docker 459397625 | |
504684831 | https://github.com/simonw/datasette/issues/514#issuecomment-504684831 | https://api.github.com/repos/simonw/datasette/issues/514 | MDEyOklzc3VlQ29tbWVudDUwNDY4NDgzMQ== | russss 45057 | 2019-06-22T17:38:23Z | 2019-06-22T17:38:23Z | CONTRIBUTOR |
It's the working directory (cwd) of the spawned process. In this case if you set it to the directory your data is in, you can use relative paths to the db (and metadata/templates/etc) in the |
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Documentation with recommendations on running Datasette in production without using Docker 459397625 | |
504690927 | https://github.com/simonw/datasette/issues/514#issuecomment-504690927 | https://api.github.com/repos/simonw/datasette/issues/514 | MDEyOklzc3VlQ29tbWVudDUwNDY5MDkyNw== | russss 45057 | 2019-06-22T19:06:07Z | 2019-06-22T19:06:07Z | CONTRIBUTOR | I'd rather not turn this into a systemd support thread, but you're trying to execute the package directory there. Your datasette executable is probably at |
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Documentation with recommendations on running Datasette in production without using Docker 459397625 |
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