The only other thing I can think of is that the Belchertown skin is making a query on something other than midnight-to-midnight.
We can check that. Please replace your copy of xtypes.py (you should find it in /usr/share/weewx/weewx/xtypes.py) with the attached. It has been instrumented to log the aggregation interval. Run with debug=1 from startup through the first reporting cycle. Post the full log. It could be rather voluminous, so you may want to post the log as an attachment, or upload to a service such as pastebin.com. -tk On Wed, Oct 28, 2020 at 7:59 AM Alessandro Del Prete < [email protected]> wrote: > Done. And restarted weewx. > > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: > Generate failed with exception '<class 'NameMapper.NotFound'>' > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > Ignoring template /etc/weewx/skins/Seasons/NOAA/NOAA-%Y-%m.txt.tmpl > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > Reason: cannot find 'count' while searching for 'day.wind.count.raw' > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > Traceback (most recent call last): > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > File "/usr/share/weewx/weewx/cheetahgenerator.py", line 322, in generate > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > unicode_string = compiled_template.respond() > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > File "_etc_weewx_skins_Seasons_NOAA_NOAA__Y__m_txt_tmpl.py", line 431, in > respond > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > NameMapper.NotFound: cannot find 'count' while searching for > 'day.wind.count.raw' > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: > Generate failed with exception '<class 'NameMapper.NotFound'>' > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > Ignoring template /etc/weewx/skins/Seasons/NOAA/NOAA-%Y-%m.txt.tmpl > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > Reason: cannot find 'count' while searching for 'day.wind.count.raw' > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > Traceback (most recent call last): > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > File "/usr/share/weewx/weewx/cheetahgenerator.py", line 322, in generate > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > unicode_string = compiled_template.respond() > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > File "_etc_weewx_skins_Seasons_NOAA_NOAA__Y__m_txt_tmpl.py", line 431, in > respond > Oct 28 15:32:21 ubuntu weewx[611964] ERROR weewx.cheetahgenerator: **** > NameMapper.NotFound: cannot find 'count' while searching for > 'day.wind.count.raw' > > > On Wednesday, October 28, 2020 at 1:54:04 PM UTC+1 [email protected] wrote: > >> This error could happen if a query was made for aggregation periods that >> do not run midnight-to-midnight, but I don't know why the Belchertown skin >> would do that. >> >> One thing to try: rebuilding the daily summaries. >> >> *wee_database --drop-daily* >> *wee_database --rebuild-daily* >> >> -tk >> >> On Wed, Oct 28, 2020 at 12:22 AM Alessandro Del Prete < >> [email protected]> wrote: >> >>> The table exists. Could it be corrupted in some way? That would explain >>> why the problem came up only recently. >>> >>> SQLite version 3.31.1 2020-01-27 19:55:54 >>> Enter ".help" for usage hints. >>> sqlite> SELECT tbl_name FROM sqlite_master WHERE type='table'; >>> archive >>> archive_day_altimeter >>> archive_day_appTemp >>> archive_day_appTemp1 >>> archive_day_barometer >>> archive_day_batteryStatus1 >>> archive_day_batteryStatus2 >>> archive_day_batteryStatus3 >>> archive_day_batteryStatus4 >>> archive_day_batteryStatus5 >>> archive_day_batteryStatus6 >>> archive_day_batteryStatus7 >>> archive_day_batteryStatus8 >>> archive_day_cloudbase >>> archive_day_co >>> archive_day_co2 >>> archive_day_consBatteryVoltage >>> archive_day_dewpoint >>> archive_day_dewpoint1 >>> archive_day_ET >>> archive_day_extraHumid1 >>> archive_day_extraHumid2 >>> archive_day_extraHumid3 >>> archive_day_extraHumid4 >>> archive_day_extraHumid5 >>> archive_day_extraHumid6 >>> archive_day_extraHumid7 >>> archive_day_extraHumid8 >>> archive_day_extraTemp1 >>> archive_day_extraTemp2 >>> archive_day_extraTemp3 >>> archive_day_extraTemp4 >>> archive_day_extraTemp5 >>> archive_day_extraTemp6 >>> archive_day_extraTemp7 >>> archive_day_extraTemp8 >>> archive_day_forecast >>> archive_day_hail >>> archive_day_hailBatteryStatus >>> archive_day_hailRate >>> archive_day_heatindex >>> archive_day_heatindex1 >>> archive_day_heatingTemp >>> archive_day_heatingVoltage >>> archive_day_humidex >>> archive_day_humidex1 >>> archive_day_inDewpoint >>> archive_day_inHumidity >>> archive_day_inTemp >>> archive_day_inTempBatteryStatus >>> archive_day_leafTemp1 >>> archive_day_leafTemp2 >>> archive_day_leafWet1 >>> archive_day_leafWet2 >>> archive_day_lightning_distance >>> archive_day_lightning_disturber_count >>> archive_day_lightning_energy >>> archive_day_lightning_noise_count >>> archive_day_lightning_strike_count >>> archive_day_luminosity >>> archive_day_maxSolarRad >>> archive_day_nh3 >>> archive_day_no2 >>> archive_day_noise >>> archive_day_o3 >>> archive_day_outHumidity >>> archive_day_outTemp >>> archive_day_outTempBatteryStatus >>> archive_day_pb >>> archive_day_pm10_0 >>> archive_day_pm1_0 >>> archive_day_pm2_5 >>> archive_day_pressure >>> archive_day_radiation >>> archive_day_rain >>> archive_day_rainBatteryStatus >>> archive_day_rainRate >>> archive_day_referenceVoltage >>> archive_day_rxCheckPercent >>> archive_day_signal1 >>> archive_day_signal2 >>> archive_day_signal3 >>> archive_day_signal4 >>> archive_day_signal5 >>> archive_day_signal6 >>> archive_day_signal7 >>> archive_day_signal8 >>> archive_day_snow >>> archive_day_snowBatteryStatus >>> archive_day_snowDepth >>> archive_day_snowMoisture >>> archive_day_snowRate >>> archive_day_so2 >>> archive_day_soilMoist1 >>> archive_day_soilMoist2 >>> archive_day_soilMoist3 >>> archive_day_soilMoist4 >>> archive_day_soilTemp1 >>> archive_day_soilTemp2 >>> archive_day_soilTemp3 >>> archive_day_soilTemp4 >>> archive_day_supplyVoltage >>> archive_day_txBatteryStatus >>> archive_day_UV >>> archive_day_uvBatteryStatus >>> archive_day_windBatteryStatus >>> archive_day_windchill >>> archive_day_windDir >>> archive_day_windGust >>> archive_day_windGustDir >>> archive_day_windrun >>> archive_day_windSpeed >>> *archive_day_wind* >>> archive_day__metadata >>> sqlite> >>> >>> >>> On Wednesday, October 28, 2020 at 12:11:38 AM UTC+1 [email protected] >>> wrote: >>> >>>> Can you take a look inside your database? What is the result of: >>>> >>>> *sqlite3 /var/lib/weewx/weewx.sdb* >>>> sqlite> *SELECT tbl_name FROM sqlite_master WHERE type='table';* >>>> sqlite> *.quit* >>>> >>>> This will tell us whether the table archive_day_wind exists in your >>>> database. >>>> >>>> -tk >>>> >>>> >>>> >>>> On Tue, Oct 27, 2020 at 2:20 PM Alessandro Del Prete < >>>> [email protected]> wrote: >>>> >>>>> Hi, >>>>> >>>>> I have the same issue, it's a brand new installation of weewx 4.1.1, >>>>> working since a month with a belchertown skin and a weatherflow tempest. >>>>> >>>>> Today I was checking weewx.log and I noticed this: >>>>> >>>>> Oct 27 21:39:24 ubuntu weewx[59297] DEBUG weewx.manager: Daily summary >>>>> version is 2.0 >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: >>>>> Generate failed with exception '<class 'NameMapper.NotFound'>' >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> Ignoring template /etc/weewx/skins/Seasons/NOAA/NOAA-%Y-%m.txt.tmpl >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> Reason: cannot find 'count' while searching for 'day.wind.count.raw' >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> Traceback (most recent call last): >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> File "/usr/share/weewx/weewx/cheetahgenerator.py", line 322, in generate >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> unicode_string = compiled_template.respond() >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> File "_etc_weewx_skins_Seasons_NOAA_NOAA__Y__m_txt_tmpl.py", line 431, in >>>>> respond >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> NameMapper.NotFound: cannot find 'count' while searching for >>>>> 'day.wind.count.raw' >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: >>>>> Generate failed with exception '<class 'NameMapper.NotFound'>' >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> Ignoring template /etc/weewx/skins/Seasons/NOAA/NOAA-%Y-%m.txt.tmpl >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> Reason: cannot find 'count' while searching for 'day.wind.count.raw' >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> Traceback (most recent call last): >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> File "/usr/share/weewx/weewx/cheetahgenerator.py", line 322, in generate >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> unicode_string = compiled_template.respond() >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> File "_etc_weewx_skins_Seasons_NOAA_NOAA__Y__m_txt_tmpl.py", line 431, in >>>>> respond >>>>> Oct 27 21:39:24 ubuntu weewx[59297] ERROR weewx.cheetahgenerator: **** >>>>> NameMapper.NotFound: cannot find 'count' while searching for >>>>> 'day.wind.count.raw' >>>>> >>>>> Then I found your reply to solve the problem. I checked the >>>>> DataBindings section, and everything's like you suggested, no mixing (it >>>>> was a new installation), so I don't know why the issue came up only after >>>>> some time. >>>>> >>>>> Is it possible to solve the problem without deleting the database? >>>>> >>>>> Thanks for any advice on this. >>>>> >>>>> Alessandro >>>>> >>>>> On Thursday, September 17, 2020 at 8:20:48 PM UTC+2 [email protected] >>>>> wrote: >>>>> >>>>>> The reason why this can occur is a rather technical one, but has to >>>>>> do with mixing the older, V3.x, way of specifying a schema, and the >>>>>> newer, >>>>>> V4.x way. >>>>>> >>>>>> 1. Stop weewx >>>>>> >>>>>> 2. Assuming there is nothing valuable in it, delete the archive >>>>>> /var/lib/weewx/weewx.sdb >>>>>> >>>>>> 3. Make sure your [DataBindings] section looks like this. Pay >>>>>> attention to the highlighted areas. >>>>>> >>>>>> [DataBindings] >>>>>> >>>>>> [[wx_binding]] >>>>>> # The database must match one of the sections in [Databases]. >>>>>> # This is likely to be the only option you would want to >>>>>> change. >>>>>> database = archive_sqlite >>>>>> # The name of the table within the database >>>>>> table_name = archive >>>>>> # The manager handles aggregation of data for historical >>>>>> summaries >>>>>> manager = weewx.manager.DaySummaryManager >>>>>> # The schema defines the structure of the database. >>>>>> # It is *only* used when the database is created. >>>>>> schema = schemas.wview_extended.schema >>>>>> >>>>>> 4. Restart weewx. >>>>>> >>>>>> -tk >>>>>> >>>>>> >>>>>> >>>>>> On Thu, Sep 17, 2020 at 11:00 AM '[email protected]' via >>>>>> weewx-user <[email protected]> wrote: >>>>>> >>>>>>> Hi, >>>>>>> >>>>>>> After two tries with cheaper Weather Stations which failed due to >>>>>>> Quality I bought now a Davis Vantage Pro2 Wireless with a Weatherlink >>>>>>> Live >>>>>>> Adapter >>>>>>> >>>>>>> I have setup now a new Weewx Installation and had it running for >>>>>>> some days with "simulator" without any issues. >>>>>>> >>>>>>> Now I got my davis and I have configured it immediatly. >>>>>>> >>>>>>> But unfortunatley I am getting now the following error: >>>>>>> >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: Generate failed with exception '<class >>>>>>> 'NameMapper.NotFound'>'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Ignoring template >>>>>>> /etc/weewx/skins/Seasons/NOAA/NOAA-%Y-%m.txt.tmpl* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Reason: cannot find 'count' while searching >>>>>>> for 'day.wind.count.raw'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Traceback (most recent call last):* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** File >>>>>>> "/usr/share/weewx/weewx/cheetahgenerator.py", line 322, in generate* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** unicode_string = >>>>>>> compiled_template.respond()* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** File >>>>>>> "_etc_weewx_skins_Seasons_NOAA_NOAA__Y__m_txt_tmpl.py", line 431, in >>>>>>> respond* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** NameMapper.NotFound: cannot find 'count' >>>>>>> while searching for 'day.wind.count.raw'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: Generate failed with exception '<class >>>>>>> 'NameMapper.NotFound'>'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Ignoring template >>>>>>> /etc/weewx/skins/Seasons/NOAA/NOAA-%Y.txt.tmpl* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Reason: cannot find 'count' while searching >>>>>>> for 'month.wind.count.raw'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Traceback (most recent call last):* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** File >>>>>>> "/usr/share/weewx/weewx/cheetahgenerator.py", line 322, in generate* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** unicode_string = >>>>>>> compiled_template.respond()* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** File >>>>>>> "_etc_weewx_skins_Seasons_NOAA_NOAA__Y_txt_tmpl.py", line 862, in >>>>>>> respond* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** NameMapper.NotFound: cannot find 'count' >>>>>>> while searching for 'month.wind.count.raw'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: Generate failed with exception '<class >>>>>>> 'NameMapper.NotFound'>'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Ignoring template >>>>>>> /etc/weewx/skins/Seasons/rss.xml.tmpl* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Reason: cannot find 'max' while searching >>>>>>> for >>>>>>> 'day.wind.max'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** Traceback (most recent call last):* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** File >>>>>>> "/usr/share/weewx/weewx/cheetahgenerator.py", line 322, in generate* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** unicode_string = >>>>>>> compiled_template.respond()* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** File >>>>>>> "_etc_weewx_skins_Seasons_rss_xml_tmpl.py", line 268, in respond* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] ERROR >>>>>>> weewx.cheetahgenerator: **** NameMapper.NotFound: cannot find 'max' >>>>>>> while >>>>>>> searching for 'day.wind.max'* >>>>>>> *Sep 17 19:55:17 weewx-test weewx[23751] INFO >>>>>>> weewx.cheetahgenerator: Generated 5 files for report SeasonsReport in >>>>>>> 0.66 >>>>>>> seconds* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> Caught unrecoverable exception in generator >>>>>>> 'weewx.imagegenerator.ImageGenerator'* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** no such table: archive_day_wind* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** Traceback (most recent call last):* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weedb/sqlite.py", line 29, in >>>>>>> guarded_fn* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** return fn(*args, **kwargs)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weedb/sqlite.py", line 211, in >>>>>>> execute* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** return sqlite3.Cursor.execute(self, *args, **kwargs)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** sqlite3.OperationalError: no such table: archive_day_wind* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> ***** >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** During handling of the above exception, another exception >>>>>>> occurred:* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> ***** >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** Traceback (most recent call last):* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/reportengine.py", line 197, >>>>>>> in >>>>>>> run* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** obj.start()* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/reportengine.py", line 280, >>>>>>> in >>>>>>> start* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** self.run()* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/imagegenerator.py", line >>>>>>> 41, in >>>>>>> run* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** self.genImages(self.gen_ts)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/imagegenerator.py", line >>>>>>> 180, >>>>>>> in genImages* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** aggregate_interval=aggregate_interval)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/xtypes.py", line 86, in >>>>>>> get_series* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** aggregate_interval)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/xtypes.py", line 628, in >>>>>>> get_series* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** aggregate_interval)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/xtypes.py", line 140, in >>>>>>> get_series* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** agg_vt = get_aggregate(obs_type, stamp, do_aggregate, >>>>>>> db_manager)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/xtypes.py", line 102, in >>>>>>> get_aggregate* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** **option_dict)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/xtypes.py", line 796, in >>>>>>> get_aggregate* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** row = db_manager.getSql(sql, timespan)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weewx/manager.py", line 426, in >>>>>>> getSql* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** _cursor.execute(sql, sqlargs)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** File "/usr/share/weewx/weedb/sqlite.py", line 37, in >>>>>>> guarded_fn* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** raise weedb.NoTableError(e)* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** weedb.NoTableError: no such table: archive_day_wind* >>>>>>> *Sep 17 19:55:18 weewx-test weewx[23751] ERROR weewx.reportengine: >>>>>>> **** Generator terminated* >>>>>>> >>>>>>> Any ideas? >>>>>>> >>>>>>> -- >>>>>>> You received this message because you are subscribed to the Google >>>>>>> Groups "weewx-user" group. >>>>>>> To unsubscribe from this group and stop receiving emails from it, >>>>>>> send an email to [email protected]. >>>>>>> To view this discussion on the web visit >>>>>>> https://groups.google.com/d/msgid/weewx-user/8cddf9c5-ac26-4bbf-bc3b-e21d0bc5e513n%40googlegroups.com >>>>>>> <https://groups.google.com/d/msgid/weewx-user/8cddf9c5-ac26-4bbf-bc3b-e21d0bc5e513n%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>> . >>>>>>> >>>>>> -- >>>>> You received this message because you are subscribed to the Google >>>>> Groups "weewx-user" group. >>>>> To unsubscribe from this group and stop receiving emails from it, send >>>>> an email to [email protected]. >>>>> >>>> To view this discussion on the web visit >>>>> https://groups.google.com/d/msgid/weewx-user/9653844c-9165-4cac-a075-e1117984736en%40googlegroups.com >>>>> <https://groups.google.com/d/msgid/weewx-user/9653844c-9165-4cac-a075-e1117984736en%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>> . >>>>> >>>> -- >>> You received this message because you are subscribed to 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# # Copyright (c) 2019 Tom Keffer <[email protected]> # # See the file LICENSE.txt for your full rights. # """User-defined extensions to the WeeWX type system""" import logging import math import weedb import weeutil.weeutil import weewx import weewx.units import weewx.wxformulas from weeutil.weeutil import isStartOfDay, timestamp_to_string from weewx.units import ValueTuple log = logging.getLogger(__name__) # A list holding the type extensions. Each entry should be a subclass of XType, defined below. xtypes = [] class XType(object): """Base class for extensions to the WeeWX type system.""" def get_scalar(self, obs_type, record, db_manager=None): """Calculate a scalar. Specializing versions should raise... - an exception of type `weewx.UnknownType`, if the type `obs_type` is unknown to the function. - an exception of type `weewx.CannotCalculate` if the type is known to the function, but all the information necessary to calculate the type is not there. """ raise weewx.UnknownType def get_series(self, obs_type, timespan, db_manager, aggregate_type=None, aggregate_interval=None): """Calculate a series, possibly with aggregation. Specializing versions should raise... - an exception of type `weewx.UnknownType`, if the type `obs_type` is unknown to the function. - an exception of type `weewx.CannotCalculate` if the type is known to the function, but all the information necessary to calculate the series is not there. """ raise weewx.UnknownType def get_aggregate(self, obs_type, timespan, aggregate_type, db_manager, **option_dict): """Calculate an aggregation. Specializing versions should raise... - an exception of type `weewx.UnknownType`, if the type `obs_type` is unknown to the function. - an exception of type `weewx.UnknownAggregation` if the aggregation type `aggregate_type` is unknown to the function. - an exception of type `weewx.CannotCalculate` if the type is known to the function, but all the information necessary to calculate the type is not there. """ raise weewx.UnknownAggregation def shut_down(self): """Opportunity to do any clean up.""" pass # ##################### Retrieval functions ########################### def get_scalar(obs_type, record, db_manager=None): """Return a scalar value""" # Search the list, looking for a get_scalar() method that does not raise an exception for xtype in xtypes: try: # Try this function. It will raise an exception if it does not know about the type. return xtype.get_scalar(obs_type, record, db_manager) except weewx.UnknownType: # This function does not know about the type. Move on to the next one. pass # None of the functions worked. raise weewx.UnknownType(obs_type) def get_series(obs_type, timespan, db_manager, aggregate_type=None, aggregate_interval=None): """Return a series (aka vector) of, possibly aggregated, values.""" # Search the list, looking for a get_series() method that does not raise an exception for xtype in xtypes: try: # Try this function. It will raise an exception if it does not know about the type. return xtype.get_series(obs_type, timespan, db_manager, aggregate_type, aggregate_interval) except weewx.UnknownType: # This function does not know about the type. Move on to the next one. pass # None of the functions worked. raise weewx.UnknownType(obs_type) def get_aggregate(obs_type, timespan, aggregate_type, db_manager, **option_dict): """Calculate an aggregation over a timespan""" # Search the list, looking for a get_aggregate() method that does not raise an exception for xtype in xtypes: try: # Try this function. It will raise an exception if it doesn't know about the type of # aggregation. return xtype.get_aggregate(obs_type, timespan, aggregate_type, db_manager, **option_dict) except (weewx.UnknownAggregation, weewx.UnknownType): pass raise weewx.UnknownAggregation("%s('%s')" % (aggregate_type, obs_type)) # # ######################## Class ArchiveTable ############################## # class ArchiveTable(XType): """Calculate types and aggregates directly from the archive table""" @staticmethod def get_series(obs_type, timespan, db_manager, aggregate_type=None, aggregate_interval=None): """Get a series, possibly with aggregation, from the main archive database. The general strategy is that if aggregation is asked for, chop the series up into separate chunks, calculating the aggregate for each chunk. Then assemble the results. If no aggregation is called for, just return the data directly out of the database. """ startstamp, stopstamp = timespan start_vec = list() stop_vec = list() data_vec = list() if aggregate_type: # With aggregation unit, unit_group = None, None if aggregate_type == 'cumulative': do_aggregate = 'sum' total = 0 else: do_aggregate = aggregate_type for stamp in weeutil.weeutil.intervalgen(startstamp, stopstamp, aggregate_interval): # Get the aggregate as a ValueTuple agg_vt = get_aggregate(obs_type, stamp, do_aggregate, db_manager) if unit: # It's OK if the unit is unknown (=None). if agg_vt[1] is not None and (unit != agg_vt[1] or unit_group != agg_vt[2]): raise weewx.UnsupportedFeature("Cannot change unit groups " "within an aggregation.") else: unit, unit_group = agg_vt[1], agg_vt[2] start_vec.append(stamp.start) stop_vec.append(stamp.stop) if aggregate_type == 'cumulative': if agg_vt[0] is not None: total += agg_vt[0] data_vec.append(total) else: data_vec.append(agg_vt[0]) else: # No aggregation sql_str = "SELECT dateTime, %s, usUnits, `interval` FROM %s " \ "WHERE dateTime >= ? AND dateTime <= ?" % (obs_type, db_manager.table_name) std_unit_system = None # Hit the database. It's possible the type is not in the database, so be prepared # to catch a NoColumnError: try: for record in db_manager.genSql(sql_str, (startstamp, stopstamp)): # Unpack the record timestamp, value, unit_system, interval = record if std_unit_system: if std_unit_system != unit_system: raise weewx.UnsupportedFeature("Unit type cannot change " "within an aggregation interval.") else: std_unit_system = unit_system start_vec.append(timestamp - interval * 60) stop_vec.append(timestamp) data_vec.append(value) except weedb.NoColumnError: # The sql type doesn't exist. Convert to an UnknownType error raise weewx.UnknownType(obs_type) unit, unit_group = weewx.units.getStandardUnitType(std_unit_system, obs_type, aggregate_type) return (ValueTuple(start_vec, 'unix_epoch', 'group_time'), ValueTuple(stop_vec, 'unix_epoch', 'group_time'), ValueTuple(data_vec, unit, unit_group)) # Set of SQL statements to be used for calculating aggregates from the main archive table. agg_sql_dict = { 'diff': "SELECT (b.%(obs_type)s - a.%(obs_type)s) FROM archive a, archive b " "WHERE b.dateTime = (SELECT MAX(dateTime) FROM archive " "WHERE dateTime <= %(stop)s) " "AND a.dateTime = (SELECT MIN(dateTime) FROM archive " "WHERE dateTime >= %(start)s);", 'first': "SELECT %(obs_type)s FROM %(table_name)s " "WHERE dateTime = (SELECT MIN(dateTime) FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s " "AND %(obs_type)s IS NOT NULL)", 'firsttime': "SELECT MIN(dateTime) FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s " "AND %(obs_type)s IS NOT NULL", 'last': "SELECT %(obs_type)s FROM %(table_name)s " "WHERE dateTime = (SELECT MAX(dateTime) FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s " "AND %(obs_type)s IS NOT NULL)", 'lasttime': "SELECT MAX(dateTime) FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s " "AND %(obs_type)s IS NOT NULL", 'maxtime': "SELECT dateTime FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND " "%(obs_type)s = (SELECT MAX(%(obs_type)s) FROM %(table_name)s " "WHERE dateTime > %(start)s and dateTime <= %(stop)s) " "AND %(obs_type)s IS NOT NULL", 'mintime': "SELECT dateTime FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND " "%(obs_type)s = (SELECT MIN(%(obs_type)s) FROM %(table_name)s " "WHERE dateTime > %(start)s and dateTime <= %(stop)s) " "AND %(obs_type)s IS NOT NULL", 'tderiv': "SELECT (b.%(obs_type)s - a.%(obs_type)s) / (b.dateTime-a.dateTime) " "FROM archive a, archive b " "WHERE b.dateTime = (SELECT MAX(dateTime) FROM archive " "WHERE dateTime <= %(stop)s) " "AND a.dateTime = (SELECT MIN(dateTime) FROM archive " "WHERE dateTime >= %(start)s);", } simple_agg_sql = "SELECT %(aggregate_type)s(%(obs_type)s) FROM %(table_name)s " \ "WHERE dateTime > %(start)s AND dateTime <= %(stop)s " \ "AND %(obs_type)s IS NOT NULL" @staticmethod def get_aggregate(obs_type, timespan, aggregate_type, db_manager, **option_dict): """Returns an aggregation of an observation type over a given time period, using the main archive table. obs_type: The type over which aggregation is to be done (e.g., 'barometer', 'outTemp', 'rain', ...) timespan: An instance of weeutil.Timespan with the time period over which aggregation is to be done. aggregate_type: The type of aggregation to be done. db_manager: An instance of weewx.manager.Manager or subclass. option_dict: Not used in this version. returns: A ValueTuple containing the result.""" if aggregate_type not in ['sum', 'count', 'avg', 'max', 'min'] + list( ArchiveTable.agg_sql_dict.keys()): raise weewx.UnknownAggregation(aggregate_type) interpolate_dict = { 'aggregate_type': aggregate_type, 'obs_type': obs_type, 'table_name': db_manager.table_name, 'start': timespan.start, 'stop': timespan.stop } select_stmt = ArchiveTable.agg_sql_dict.get(aggregate_type, ArchiveTable.simple_agg_sql) % interpolate_dict try: row = db_manager.getSql(select_stmt) except weedb.NoColumnError: raise weewx.UnknownType(aggregate_type) value = row[0] if row else None # Look up the unit type and group of this combination of observation type and aggregation: u, g = weewx.units.getStandardUnitType(db_manager.std_unit_system, obs_type, aggregate_type) # Time derivatives have special rules. For example, the time derivative of watt-hours is # watts, scaled by the number of seconds in an hour. The unit group also changes to # group_power. if aggregate_type == 'tderiv': if u == 'watt_second': u = 'watt' elif u == 'watt_hour': u = 'watt' value *= 3600 elif u == 'kilowatt_hour': u = 'kilowatt' value *= 3600 g = 'group_power' # Form the ValueTuple and return it: return weewx.units.ValueTuple(value, u, g) # # ######################## Class DailySummaries ############################## # class DailySummaries(XType): """Calculate from the daily summaries.""" # Set of SQL statements to be used for calculating aggregates from the daily summaries. daily_sql_dict = { 'avg': "SELECT SUM(wsum),SUM(sumtime) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'count': "SELECT SUM(count) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'gustdir': "SELECT max_dir FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s " "AND max = (SELECT MAX(max) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s)", 'max': "SELECT MAX(max) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'max_ge': "SELECT SUM(max >= %(val)s) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'max_le': "SELECT SUM(max <= %(val)s) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'maxmin': "SELECT MAX(min) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'maxmintime': "SELECT mintime FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s " "AND min = (SELECT MAX(min) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime <%(stop)s)", 'maxsum': "SELECT MAX(sum) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'maxsumtime': "SELECT maxtime FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s " "AND sum = (SELECT MAX(sum) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime <%(stop)s)", 'maxtime': "SELECT maxtime FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s " "AND max = (SELECT MAX(max) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime <%(stop)s)", 'meanmax': "SELECT AVG(max) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'meanmin': "SELECT AVG(min) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'min': "SELECT MIN(min) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'min_ge': "SELECT SUM(min >= %(val)s) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'min_le': "SELECT SUM(min <= %(val)s) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'minmax': "SELECT MIN(max) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'minmaxtime': "SELECT maxtime FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s " "AND max = (SELECT MIN(max) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime <%(stop)s)", 'minsum': "SELECT MIN(sum) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'minsumtime': "SELECT mintime FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s " "AND sum = (SELECT MIN(sum) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime <%(stop)s)", 'mintime': "SELECT mintime FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s " "AND min = (SELECT MIN(min) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime <%(stop)s)", 'rms': "SELECT SUM(wsquaresum),SUM(sumtime) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'sum': "SELECT SUM(sum) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'sum_ge': "SELECT SUM(sum >= %(val)s) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'sum_le': "SELECT SUM(sum <= %(val)s) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'vecavg': "SELECT SUM(xsum),SUM(ysum),SUM(sumtime) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", 'vecdir': "SELECT SUM(xsum),SUM(ysum) FROM %(table_name)s_day_%(obs_key)s " "WHERE dateTime >= %(start)s AND dateTime < %(stop)s", } @staticmethod def get_aggregate(obs_type, timespan, aggregate_type, db_manager, **option_dict): """Returns an aggregation of a statistical type for a given time period, by using the daily summaries. obs_type: The type over which aggregation is to be done (e.g., 'barometer', 'outTemp', 'rain', ...) timespan: An instance of weeutil.Timespan with the time period over which aggregation is to be done. aggregate_type: The type of aggregation to be done. db_manager: An instance of weewx.manager.Manager or subclass. option_dict: Not used in this version. returns: A ValueTuple containing the result.""" # Check to see if this is a valid daily summary type: if not hasattr(db_manager, 'daykeys') or obs_type not in db_manager.daykeys: raise weewx.UnknownType(obs_type) aggregate_type = aggregate_type.lower() # Raise exception if we don't know about this type of aggregation if aggregate_type not in DailySummaries.daily_sql_dict: raise weewx.UnknownAggregation(aggregate_type) # We cannot use the day summaries if the starting and ending times of the aggregation # interval are not on midnight boundaries, and are not the first or last records in the # database. if db_manager.first_timestamp is None or db_manager.last_timestamp is None: raise weewx.UnknownAggregation(aggregate_type) if obs_type == 'wind': log.debug("obs_type=%s; aggregate_type=%s", obs_type, aggregate_type) log.debug("timespan=%s", timespan) log.debug("first_timestamp=%s; last_timestamp=%s", timestamp_to_string(db_manager.first_timestamp), timestamp_to_string(db_manager.last_timestamp)) if not (isStartOfDay(timespan.start) or timespan.start == db_manager.first_timestamp) \ or not (isStartOfDay(timespan.stop) or timespan.stop == db_manager.last_timestamp): if obs_type == 'wind': log.debug("Daily summary cannot be used.") raise weewx.UnknownAggregation(aggregate_type) if obs_type == 'wind': log.debug("Daily summary will be used.") val = option_dict.get('val') if val is None: target_val = None else: # The following is for backwards compatibility when ValueTuples had # just two members. This hack avoids breaking old skins. if len(val) == 2: if val[1] in ['degree_F', 'degree_C']: val += ("group_temperature",) elif val[1] in ['inch', 'mm', 'cm']: val += ("group_rain",) target_val = weewx.units.convertStd(val, db_manager.std_unit_system)[0] # Form the interpolation dictionary inter_dict = { 'start': weeutil.weeutil.startOfDay(timespan.start), 'stop': timespan.stop, 'obs_key': obs_type, 'aggregate_type': aggregate_type, 'val': target_val, 'table_name': db_manager.table_name } # Run the query against the database: row = db_manager.getSql(DailySummaries.daily_sql_dict[aggregate_type] % inter_dict) # Each aggregation type requires a slightly different calculation. if not row or None in row: # If no row was returned, or if it contains any nulls (meaning that not # all required data was available to calculate the requested aggregate), # then set the resulting value to None. value = None elif aggregate_type in ['min', 'maxmin', 'max', 'minmax', 'meanmin', 'meanmax', 'maxsum', 'minsum', 'sum', 'gustdir']: # These aggregates are passed through 'as is'. value = row[0] elif aggregate_type in ['mintime', 'maxmintime', 'maxtime', 'minmaxtime', 'maxsumtime', 'minsumtime', 'count', 'max_ge', 'max_le', 'min_ge', 'min_le', 'sum_ge', 'sum_le']: # These aggregates are always integers: value = int(row[0]) elif aggregate_type == 'avg': value = row[0] / row[1] if row[1] else None elif aggregate_type == 'rms': value = math.sqrt(row[0] / row[1]) if row[1] else None elif aggregate_type == 'vecavg': value = math.sqrt((row[0] ** 2 + row[1] ** 2) / row[2] ** 2) if row[2] else None elif aggregate_type == 'vecdir': if row == (0.0, 0.0): value = None else: deg = 90.0 - math.degrees(math.atan2(row[1], row[0])) value = deg if deg >= 0 else deg + 360.0 else: # Unknown aggregation. Should not have gotten this far... raise ValueError("Unexpected error. Aggregate type '%s'" % aggregate_type) # Look up the unit type and group of this combination of observation type and aggregation: t, g = weewx.units.getStandardUnitType(db_manager.std_unit_system, obs_type, aggregate_type) # Form the ValueTuple and return it: return weewx.units.ValueTuple(value, t, g) # # ######################## Class AggregateHeatCool ############################## # class AggregateHeatCool(XType): """Calculate heating and cooling degree-days.""" # Default base temperature and unit type for heating and cooling degree days, # as a value tuple default_heatbase = (65.0, "degree_F", "group_temperature") default_coolbase = (65.0, "degree_F", "group_temperature") default_growbase = (50.0, "degree_F", "group_temperature") @staticmethod def get_aggregate(obs_type, timespan, aggregate_type, db_manager, **option_dict): """Returns heating and cooling degree days over a time period. obs_type: The type over which aggregation is to be done. Must be one of 'heatdeg', 'cooldeg', or 'growdeg'. timespan: An instance of weeutil.Timespan with the time period over which aggregation is to be done. aggregate_type: The type of aggregation to be done. Must be 'avg' or 'sum'. db_manager: An instance of weewx.manager.Manager or subclass. option_dict: Not used in this version. returns: A ValueTuple containing the result. """ # Check to see whether heating or cooling degree days are being asked for: if obs_type not in ['heatdeg', 'cooldeg', 'growdeg']: raise weewx.UnknownType(obs_type) # Only summation (total) or average heating or cooling degree days is supported: if aggregate_type not in ['sum', 'avg']: raise weewx.UnknownAggregation(aggregate_type) # Get the base for heating and cooling degree-days units_dict = option_dict.get('skin_dict', {}).get('Units', {}) dd_dict = units_dict.get('DegreeDays', {}) heatbase = dd_dict.get('heating_base', AggregateHeatCool.default_heatbase) coolbase = dd_dict.get('cooling_base', AggregateHeatCool.default_coolbase) growbase = dd_dict.get('growing_base', AggregateHeatCool.default_growbase) # Convert to a ValueTuple in the same unit system as the database heatbase_t = weewx.units.convertStd((float(heatbase[0]), heatbase[1], "group_temperature"), db_manager.std_unit_system) coolbase_t = weewx.units.convertStd((float(coolbase[0]), coolbase[1], "group_temperature"), db_manager.std_unit_system) growbase_t = weewx.units.convertStd((float(growbase[0]), growbase[1], "group_temperature"), db_manager.std_unit_system) total = 0.0 count = 0 for daySpan in weeutil.weeutil.genDaySpans(timespan.start, timespan.stop): # Get the average temperature for the day as a value tuple: Tavg_t = DailySummaries.get_aggregate('outTemp', daySpan, 'avg', db_manager) # Make sure it's valid before including it in the aggregation: if Tavg_t is not None and Tavg_t[0] is not None: if obs_type == 'heatdeg': total += weewx.wxformulas.heating_degrees(Tavg_t[0], heatbase_t[0]) elif obs_type == 'cooldeg': total += weewx.wxformulas.cooling_degrees(Tavg_t[0], coolbase_t[0]) else: total += weewx.wxformulas.cooling_degrees(Tavg_t[0], growbase_t[0]) count += 1 if aggregate_type == 'sum': value = total else: value = total / count if count else None # Look up the unit type and group of the result: t, g = weewx.units.getStandardUnitType(db_manager.std_unit_system, obs_type, aggregate_type) # Return as a value tuple return weewx.units.ValueTuple(value, t, g) # ############################# WindVec extensions ######################################### class WindVec(XType): """Extensions for calculating special observation types 'windvec' and 'windgustvec'. It provides functions for calculating series, and for calculating aggregates. """ windvec_types = { 'windvec': ('windSpeed', 'windDir'), 'windgustvec': ('windGust', 'windGustDir') } agg_sql_dict = { 'count': "SELECT COUNT(dateTime), usUnits FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND %(mag)s IS NOT NULL)", 'first': "SELECT %(mag)s, %(dir)s, usUnits FROM %(table_name)s " "WHERE dateTime = (SELECT MIN(dateTime) FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND %(mag)s IS NOT NULL)", 'last': "SELECT %(mag)s, %(dir)s, usUnits FROM %(table_name)s " "WHERE dateTime = (SELECT MAX(dateTime) FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND %(mag)s IS NOT NULL)", 'min': "SELECT %(mag)s, %(dir)s, usUnits FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND %(mag)s IS NOT NULL " "ORDER BY %(mag)s ASC LIMIT 1;", # 'min': "SELECT %(mag)s, %(dir)s, usUnits FROM %(table_name)s " # "WHERE %(mag)s = (SELECT MIN(%(mag)s) FROM %(table_name)s " # "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND %(mag)s IS NOT NULL)", 'max': "SELECT %(mag)s, %(dir)s, usUnits FROM %(table_name)s " "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND %(mag)s IS NOT NULL " "ORDER BY %(mag)s DESC LIMIT 1;", # 'max': "SELECT %(mag)s, %(dir)s, usUnits FROM %(table_name)s " # "WHERE %(mag)s = (SELECT MAX(%(mag)s) FROM %(table_name)s " # "WHERE dateTime > %(start)s AND dateTime <= %(stop)s AND %(mag)s IS NOT NULL)", } # for types 'avg', 'sum' complex_sql_wind = 'SELECT %(mag)s, %(dir)s, usUnits FROM %(table_name)s WHERE dateTime > ? ' \ 'AND dateTime <= ?' @staticmethod def get_series(obs_type, timespan, db_manager, aggregate_type=None, aggregate_interval=None): """Get a series, possibly with aggregation, for special 'wind vector' types. These are typically used for the wind vector plots. """ # Check to see if the requested type is not 'windvec' or 'windgustvec' if obs_type not in WindVec.windvec_types: # The type is not one of the extended wind types. We can't handle it. raise weewx.UnknownType(obs_type) # It is an extended wind type. Prepare the lists that will hold the # final results. start_vec = list() stop_vec = list() data_vec = list() # Is aggregation requested? if aggregate_type: # Yes. Just use the regular series function. When it comes time to do the aggregation, # the specialized function WindVec.get_aggregate() (defined below), will be used. return ArchiveTable.get_series(obs_type, timespan, db_manager, aggregate_type, aggregate_interval) else: # No aggregation desired. However, we have will have to assemble the wind vector from # its flattened types. This SQL select string will select the proper wind types sql_str = 'SELECT dateTime, %s, %s, usUnits, `interval` FROM %s ' \ 'WHERE dateTime >= ? AND dateTime <= ?' \ % (WindVec.windvec_types[obs_type][0], WindVec.windvec_types[obs_type][1], db_manager.table_name) std_unit_system = None for record in db_manager.genSql(sql_str, timespan): ts, magnitude, direction, unit_system, interval = record if std_unit_system: if std_unit_system != unit_system: raise weewx.UnsupportedFeature( "Unit type cannot change within a time interval.") else: std_unit_system = unit_system value = weeutil.weeutil.to_complex(magnitude, direction) start_vec.append(ts - interval * 60) stop_vec.append(ts) data_vec.append(value) unit, unit_group = weewx.units.getStandardUnitType(std_unit_system, obs_type, aggregate_type) return (ValueTuple(start_vec, 'unix_epoch', 'group_time'), ValueTuple(stop_vec, 'unix_epoch', 'group_time'), ValueTuple(data_vec, unit, unit_group)) @staticmethod def get_aggregate(obs_type, timespan, aggregate_type, db_manager, **option_dict): """Returns an aggregation of a wind vector type over a timespan by using the main archive table. obs_type: The type over which aggregation is to be done. For this function, it must be 'windvec' or 'windgustvec'. Anything else will cause weewx.UnknownType to be raised. timespan: An instance of weeutil.Timespan with the time period over which aggregation is to be done. aggregate_type: The type of aggregation to be done. For this function, must be 'avg', 'sum', 'count', 'first', 'last', 'min', or 'max'. Anything else will cause weewx.UnknownAggregation to be raised. db_manager: An instance of weewx.manager.Manager or subclass. option_dict: Not used in this version. returns: A ValueTuple containing the result. Note that the value contained in the ValueTuple will be a complex number. """ if obs_type not in WindVec.windvec_types: raise weewx.UnknownType(obs_type) aggregate_type = aggregate_type.lower() # Raise exception if we don't know about this type of aggregation if aggregate_type not in ['avg', 'sum'] + list(WindVec.agg_sql_dict.keys()): raise weewx.UnknownAggregation(aggregate_type) # Form the interpolation dictionary interpolation_dict = { 'dir': WindVec.windvec_types[obs_type][1], 'mag': WindVec.windvec_types[obs_type][0], 'start': weeutil.weeutil.startOfDay(timespan.start), 'stop': timespan.stop, 'table_name': db_manager.table_name } if aggregate_type in WindVec.agg_sql_dict: # For these types (e.g., first, last, etc.), we can do the aggregation in a SELECT # statement. select_stmt = WindVec.agg_sql_dict[aggregate_type] % interpolation_dict row = db_manager.getSql(select_stmt) if row: if aggregate_type == 'count': value, std_unit_system = row else: magnitude, direction, std_unit_system = row value = weeutil.weeutil.to_complex(magnitude, direction) else: std_unit_system = db_manager.std_unit_system value = None else: # The result is more complex, requiring vector arithmetic. We will have to do it # in Python std_unit_system = None xsum = ysum = 0.0 count = 0 select_stmt = WindVec.complex_sql_wind % interpolation_dict for rec in db_manager.genSql(select_stmt, timespan): # Unpack the record mag, direction, unit_system = rec # Ignore rows where magnitude is NULL if mag is None: continue # A good direction is necessary unless the mag is zero: if mag == 0.0 or direction is not None: if std_unit_system: if std_unit_system != unit_system: raise weewx.UnsupportedFeature( "Unit type cannot change within a time interval.") else: std_unit_system = unit_system # An undefined direction is OK (and expected) if the magnitude # is zero. But, in that case, it doesn't contribute to the sums either. if direction is None: # Sanity check if weewx.debug: assert (mag == 0.0) else: xsum += mag * math.cos(math.radians(90.0 - direction)) ysum += mag * math.sin(math.radians(90.0 - direction)) count += 1 # We've gone through the whole interval. Were there any good data? if count: # Form the requested aggregation: if aggregate_type == 'sum': value = complex(xsum, ysum) else: # Must be 'avg' value = complex(xsum, ysum) / count else: value = None # Look up the unit type and group of this combination of observation type and aggregation: t, g = weewx.units.getStandardUnitType(std_unit_system, obs_type, aggregate_type) # Form the ValueTuple and return it: return weewx.units.ValueTuple(value, t, g) class WindVecDaily(XType): """Extension for calculating the average windvec, using the daily summaries.""" @staticmethod def get_aggregate(obs_type, timespan, aggregate_type, db_manager, **option_dict): """Optimization for calculating 'avg' aggregations for type 'windvec'. The timespan must be on a daily boundary.""" # We can only do observation type 'windvec' if obs_type != 'windvec': # We can't handle it. raise weewx.UnknownType(obs_type) # We can only do 'avg'' if aggregate_type != 'avg': raise weewx.UnknownAggregation(aggregate_type) # We cannot use the day summaries if the starting and ending times of the aggregation # interval are not on midnight boundaries, and are not the first or last records in the # database. if not (isStartOfDay(timespan.start) or timespan.start == db_manager.first_timestamp) \ or not (isStartOfDay(timespan.stop) or timespan.stop == db_manager.last_timestamp): raise weewx.UnknownAggregation(aggregate_type) sql = 'SELECT SUM(xsum), SUM(ysum), SUM(dirsumtime) ' \ 'FROM %s_day_wind WHERE dateTime>=? AND dateTime<?;' % db_manager.table_name row = db_manager.getSql(sql, timespan) if not row or None in row or not row[2]: # If no row was returned, or if it contains any nulls (meaning that not # all required data was available to calculate the requested aggregate), # then set the resulting value to None. value = None else: value = complex(row[0], row[1]) / row[2] # Look up the unit type and group of the result: t, g = weewx.units.getStandardUnitType(db_manager.std_unit_system, obs_type, aggregate_type) # Return as a value tuple return weewx.units.ValueTuple(value, t, g) # Add instantiated versions to the extension list. Order matters. We want the highly-specialized # versions first, because they might offer optimizations. xtypes.append(WindVecDaily()) xtypes.append(WindVec()) xtypes.append(AggregateHeatCool()) xtypes.append(DailySummaries()) xtypes.append(ArchiveTable())
