I doubt it.  I have just managed to get a package I maintain updated from 
websql (which has been deprecated to death) to sqlite-wasm.  Even a local 
sqlite file needs to be imported into the browser's storage, as far as I 
could determine - direct access to the local filesystem is blocked, so the 
entire binary gets passed across as a message from the bit that *can *read 
the local filesystem to the worker thread, which is the only place 
sqlite-wasm can run.
I think the only sane way would be code on the server interrogating the DB 
and providing an api.

On Saturday, 1 February 2025 at 8:16:02 am UTC+10 Tom Keffer wrote:

> Is there a version of sqlite that runs in the browser, but queries a 
> sqlite file on the webserver? The sqlite file could be kept up-to-date by 
> using rsyncs from the server that WeeWX is running on.
>
> On Thu, Jan 30, 2025 at 4:30 AM '[email protected]' via 
> weewx-development <[email protected]> wrote:
>
>> Thanks for the inputs.
>>
>> For viewing a day some years ago, just like today, daily summaries lack 
>> the resolution of the archive_interval. Daily summaries, or whatever 
>> interval is chosen for the week/month/year might be necessary to provide as 
>> well, if the aggregation shouldn't be done in the front end.
>>
>> >  Your idea of using a JS library for server-side SQLite is 
>> interesting, but wouldn't it have to run in the browser?
>>
>> I think that's the idea of https://sql.js.org/ For the whole database 
>> this probably isn't a feasible approach, because the client needs to 
>> download the whole database from the server into memory. Transferring more 
>> or less raw data to the same serve the web page resides and doing partially 
>> the same stuff there, what weewx does or could do in the back end, seems 
>> not too reasonable anyway.
>>
>> I think I'll play around with the following idea: JSONize the required 
>> obs_types in chunks that cover a week, or a month or 10 days or 100 days, 
>> containing the values for each and every archive_interval and then see, how 
>> to handle them in the front end and if this approach behaves in terms of 
>> performance. 
>>
>>
>> > I am still fighting a bit with caching
>>
>> In which way? I had issues with caching JSON Data from files on the 
>> webspace, I ended up adding a ?ts={currentDateTimeMillis} on every requests 
>> that fetches (near) real time data, reading JSON files from the server. 
>> Setting "no-cache" didn't work that well. I plan to do the same for all css 
>> and js files that might change on an update of the skin, but instead of 
>> setting using the current time i'll think i'll go for the datetime these 
>> resources have changed on the backend. Like so: assume the user installed 
>> the current version of the skin at 1738195200, i'll let the the python 
>> script that produces JSON for the front end check the last modified date of 
>> the skin's css and js directories. I pass the value to the templates so 
>> they append ?ts=1738195200 to each included static resource. If this 
>> value changes, the browser will fetch the stylesheet, because there is none 
>> with that URL cached. Or something like that, e.g. fingerprinting the 
>> contents and using the hash value as the parameter
>>
>>
>>
>> [email protected] schrieb am Donnerstag, 30. Januar 2025 um 02:14:54 
>> UTC+1:
>>
>>> I took the approach of exporting the ‘daily summaries’ to json. 
>>> Technically I only export out what I need to chart (I use ECharts). If I 
>>> had it do over again, I would export it out in a more generic format….
>>>
>>> Using the ‘generate_once’ option, I managed to squeeze a bit faster 
>>> generation time. Net, after the first run, it is pretty snappy (I only have 
>>> data back to mid 2016).
>>>
>>> Where it gets a bit ‘wonky’ is supporting multiple database bindings. 
>>> Again, if I had it to do over, I think exporting the different databases in 
>>> a generic format would simplify this…
>>>
>>> The other wonky thing was eliminating ajax calls. I got around this by 
>>> using iframes. It is a pretty big hack, but appears to work.
>>>
>>> I am still fighting a bit with caching. I think it works pretty well in 
>>> most browsers, except in Safari sometimes Safari seems to get ‘stuck’. 
>>> Honestly not sure where the cache problem is, host, browser, or somewhere 
>>> between…
>>>
>>> I just brought up the site and looks like there is a new bug that causes 
>>> some of the charts to not display. I’m not surprised. The skin is very 
>>> experimental and was developed to see what could be done, hoping that 
>>> someone would take it and make a ‘production’ version….
>>>
>>> You can see it in action here, https://bellrichm.org/weather/#
>>>
>>> I too, look forward to what you come up with.
>>> rich
>>>
>>> On Wednesday, 29 January 2025 at 17:02:21 UTC-5 Tom Keffer wrote:
>>>
>>>> This is something that I've wrestled with in the past, but never came 
>>>> up with a good solution. Most solutions require some sort of application 
>>>> server to manage a database that is running on the same box as the 
>>>> webserver. That requires the user to do another install, and it's usually 
>>>> a 
>>>> quite complicated one with proxies, etc.. This is the approach I took with 
>>>> the now defunct weert <https://github.com/tkeffer/weert-js>. It all 
>>>> proved too complicated.
>>>>
>>>> The goal is something that requires zero changes on the 
>>>> webserver platform. That is, no application server, no MySQL install, not 
>>>> even a SQLite install. Everything is done by a browser script, which can 
>>>> be 
>>>> uploaded from the WeeWX server. 
>>>>
>>>> One way to do this is, as you note, to also upload all historical data 
>>>> as JSON files. I wouldn't completely rule that out. If you restrict the 
>>>> data to daily summaries, it's probably only a few 10s of megabytes.
>>>>
>>>> Your idea of using a JS library for server-side SQLite is interesting, 
>>>> but wouldn't it have to run in the browser? I'm not seeing how it could 
>>>> run 
>>>> on the webserver. Perhaps there's some extension for nginx that allows 
>>>> this, but then the user is doing server installs, which is what we're 
>>>> trying to avoid.
>>>>
>>>> Which brings us to another idea: a client-side database: IndexedDB. As 
>>>> you upload JSON files, it would remember them, using them in the display. 
>>>> There's the possibility that it could get evicted, which would require 
>>>> rebuilding the IndexedDB database, which would require JSON files on the 
>>>> server, so you're back where you started.
>>>>
>>>> I'll be interested to see what you come up with!
>>>>
>>>> -tk
>>>>
>>>>
>>>> On Wed, Jan 29, 2025 at 10:23 AM '[email protected]' via 
>>>> weewx-development <[email protected]> wrote:
>>>>
>>>>> fuzzy-archer <https://github.com/brewster76/fuzzy-archer> a.k.a. "the 
>>>>> Bootstrap skin" supports live data and interactive charts and gauges, 
>>>>> out-of-the-box, for a 27h-period, if not configured else.
>>>>>
>>>>> Week/Month/Year-data is provided with static images. The users request 
>>>>> interactive charts for all these timespans, and I am planning to 
>>>>> implement 
>>>>> this feature within the next year, if I find a realistic approach without 
>>>>> having new requirements for hosting the front end. And I plan to make it 
>>>>> possible, to provide all data from the database to the front end, making 
>>>>> it 
>>>>> possible to view history data, just as if it was today's data.
>>>>>
>>>>> I want to do it the most WeeWX-ish way possible and currently just 
>>>>> thinking about the ways to get there.
>>>>>
>>>>> The first problem is: how to make all this data available. Currently, 
>>>>> the data for the rolling, 27h view, is provided in a JSON file that is 
>>>>> updated and uploaded to the front end every archive interval. Updating 
>>>>> and 
>>>>> uploading a JSON file holding all desired data for all time, since the 
>>>>> station started, doesn't seem to be a sane approach.
>>>>>
>>>>> There is a JS library for SQLite, so an approach could be to synch all 
>>>>> necessary data to a SQLite database on the web server, but how to get the 
>>>>> data there? Per request, every archive interval? This would probably 
>>>>> require some serve-side-scripting, which will limit this feature to 
>>>>> servers, that provide support for that.
>>>>>
>>>>> Another approach: create (maybe compressed) chunks of historic data, 
>>>>> that may be uploaded once and deflated using client side JS on demand. 
>>>>> Challenge with this approach: how to set this up initially, creating and 
>>>>> uploading all these files will probably take a while for stations with a 
>>>>> longer history. In theory, since historic data shouldn't be subject to 
>>>>> changes, this need only to be done once, and for new data, but new data 
>>>>> will cover only a certain timespan, not decades of historic data.
>>>>>
>>>>> Any ideas for other approaches? Or is this just not realistic?
>>>>>
>>>>>
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