Thanks for checking this, James!

Nice to have a Debian whiz on board!

On Mon, Oct 24, 2022 at 1:52 PM James Taylor <
[email protected]> wrote:

> Yes, I was surprised.  Hopefully Debian 12 ( Bookworm) when it comes along
> in 2023 has a newer version as standard
>
> I just upgraded to the latest version, which I would only recommend for
> those that are comfortable with this sort of thing.   It didn't actually
> take that long to compile on my Pi4
>
> mkdir sqlite && cd sqlite
> wget https://www.sqlite.org/2022/sqlite-autoconf-3390400.tar.gz
> tar xvfz sqlite-autoconf-3390400.tar.gz
> cd sqlite-autoconf-3390400
> ./configure
> make
> sudo make install
> /usr/local/bin/sqlite3 --version # returns 3.39.4 2022-09-29
>
> You also need to replace /usr/lib/arm-linux-gnueabihf/libsqlite3.so.0.8.6
> with the version compiled under sqlite-autoconf-3390400/.libs/, so python3
> will start using the newer instance (Note if somebody is reading this, it
> is at their risk and understand the consequencies
>
> # python3 -c "import sqlite3; print(sqlite3.sqlite_version)"
> 3.39.4
>
> However it is now working using the example from my original email
>
> obs_lookup is wind
> Start time is 1665440100 and end time is 1665442800
> x_domain entries are 1665440100 and 1665442800
> archive is <weewx.manager.DaySummaryManager object at 0xb2c55a60>
> aggregate_type is vecdir
> aggregate_interval is 900
> ([1665440100, 1665441000, 1665441900], 'unix_epoch', 'group_time')
> ([355.0, 357.7404188153435, 2.124825517227194], 'degree_compass',
> 'group_direction')
>
> James
> On Monday, October 24, 2022 at 8:39:19 PM UTC+1 [email protected] wrote:
>
>> That's unfortunate. Bullseye has been out for a while, so I had just
>> assumed that it had 3.35.
>>
>> I think sqlite maintains their own repository. You could try upgrading
>> from that.
>>
>> On Mon, Oct 24, 2022 at 11:54 AM James Taylor <
>> [email protected]> wrote:
>>
>>> Cool.
>>>
>>> Just need to find a way to upgrade sqlite3 on Raspberry PI.    The
>>> packaged version is 3.34.1 on is Raspbian 11 (Bullseye) and this is wanting
>>> at least 3.35.
>>>
>>> James
>>>
>>> On Saturday, October 22, 2022 at 10:26:27 PM UTC+1 [email protected]
>>> wrote:
>>>
>>>> Fixed with commit 407602c
>>>> <https://github.com/weewx/weewx/commit/407602c03d307945284c2f6544f3f500731699ea>,
>>>> to appear in V4.9.
>>>>
>>>> On Tue, Oct 18, 2022 at 4:53 PM Tom Keffer <[email protected]> wrote:
>>>>
>>>>> You're right that the wind direction plots that come with the Seasons
>>>>> skin are not very useful. They might make sense for short time periods 
>>>>> that
>>>>> do not use aggregation, but not for longer periods. Unfortunately, the way
>>>>> vecdir is set up now, aggregation intervals have to be multiples of a day.
>>>>> Hence, your example works, but it won't for plots with shorter aggregation
>>>>> intervals.
>>>>>
>>>>> I've created Issue #800 <https://github.com/weewx/weewx/issues/800>
>>>>> to track.
>>>>>
>>>>> On Mon, Oct 17, 2022 at 1:52 PM [email protected] <[email protected]>
>>>>> wrote:
>>>>>
>>>>>> I'm still trying to wrap my head around wind data in WeeWX... Does
>>>>>> that mean that in the Seasons skin, the weekwinddir, monthwindir, and
>>>>>> yearwinddir plots are not a vector average? If yearwinddir plot was
>>>>>> something like below, would it generate a vector average?
>>>>>>         [[[yearwinddir]]]
>>>>>>             yscale = 0.0, 360.0, 45.0
>>>>>>             line_type = None
>>>>>>             marker_type = box
>>>>>>             marker_size = 2
>>>>>>             #[[[[windDir]]]]
>>>>>>             [[[[wind]]]]
>>>>>>                 aggregate_type = vecdir
>>>>>> When I changed the yearwinddir plot to the above, it ran and I got
>>>>>> what looked like a different plot.
>>>>>> Thanks. rich
>>>>>>
>>>>>> On Monday, 17 October 2022 at 09:05:37 UTC-4 [email protected] wrote:
>>>>>>
>>>>>>> Calculating the vector averaged direction requires a vector, so the
>>>>>>> observation type is 'wind', which is a vector, not 'windDir'. The
>>>>>>> aggregation that returns direction from a vector is 'vecdir', so, you 
>>>>>>> want:
>>>>>>>
>>>>>>> (start_ts, stop_ts, dirs) = weewx.xtypes.get_series('wind',
>>>>>>> x_domain, db_lookup(data_binding=binding), 'vecdir', aggregate_interval)
>>>>>>>
>>>>>>> Unfortunately, 'wind' appears only in the daily summaries. This
>>>>>>> means aggregate_interval must be multiples of one day. This restriction
>>>>>>> could be relaxed should someone want to write the necessary xtypes
>>>>>>> extension.
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Sun, Oct 16, 2022 at 6:35 AM James Taylor <
>>>>>>> [email protected]> wrote:
>>>>>>>
>>>>>>>> Hello
>>>>>>>>
>>>>>>>> Following on from https://github.com/weewx/weewx/issues/798, I've
>>>>>>>> been trying to replicate and understand weewx behaviour when it comes 
>>>>>>>> to
>>>>>>>> using get_series and get_aggregate.
>>>>>>>>
>>>>>>>> So if you are trying to aggregate winddir for graphing purposes,
>>>>>>>> you want to get a wind vector which I understand
>>>>>>>>
>>>>>>>> Here is my example where my data is being archived every 300 seconds
>>>>>>>>
>>>>>>>> (time_start_vt, time_stop_vt, obs_vt) = weewx.xtypes.get_series(
>>>>>>>> obs_lookup, x_domain, db_lookup(data_binding=binding), aggregate_type,
>>>>>>>> aggregate_interval)
>>>>>>>>
>>>>>>>> obs_lookup is windDir
>>>>>>>> Start time is 1665440100 and end time is 1665442800
>>>>>>>> x_domain entries are 1665440100 and 1665442800
>>>>>>>> aggregate_type is avg
>>>>>>>> aggregate_interval is 300
>>>>>>>> ([355.0, 355.0, 355.0, 355.480837630687, 0.0, 0.0, 0.0, 0.0,
>>>>>>>> 4.249651034454402], 'degree_compass', 'group_direction')
>>>>>>>> aggregate_interval is 900
>>>>>>>> ([355.0, 118.49361254356234, 1.416550344818134], 'degree_compass',
>>>>>>>> 'group_direction')
>>>>>>>>
>>>>>>>> I can see for the second group it is returning an average rather
>>>>>>>> than a vector value of around 358.5, but trying to understand how we 
>>>>>>>> should
>>>>>>>> be coding it.
>>>>>>>>
>>>>>>>> If I can change to aggregate of vecdir or vecavg I get a
>>>>>>>> UnknownType error
>>>>>>>>
>>>>>>>> Any help will be appreciated here.
>>>>>>>>
>>>>>>>> James
>>>>>>>>
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>>>>>>>>
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>>>>>>
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