you could just use span with a day delta:
eg
$span($day_delta=1).rain.sum for the rain total for previous 24 hours
according to the customisation guide
or
$span($day_delta=1).outTemp.avg for the average temperature during previous
24 hours
On Friday, 18 May 2018 01:09:48 UTC+3, Lorin Tremblay wrote:
>
> Hi!
>
> Trying to modify the xstats to add the last 24hrs to stats.
>
> here is the modification that I have made, but obviously not being a coder
> there is one or more mistake, can anyone help me sort it out?
>
> "*#*
>
> *# Copyright (c) 2009-2015 Tom Keffer *
>
> *#*
>
> *# See the file LICENSE.txt for your full rights.*
>
> *#*
>
> *"""Extended stats based on the xsearch example*
>
>
> *This search list extension offers extra tags:*
>
>
> * 'alltime': All time statistics.*
>
>
> * '24_hrs': Statistics for the last 24 hours.*
>
>
> * 'seven_day': Statistics for the last seven days.*
>
>
> * 'thirty_day': Statistics for the last thirty days.*
>
>
> *You can then use tags such as $alltime.outTemp.max for the all-time max*
>
> *temperature, or $seven_day.rain.sum for the total rainfall in the last
> seven*
>
> *days, or $thirty_day.wind.max for maximum wind speed in the past thirty
> days.*
>
> *"""*
>
> *import* datetime
>
> *import* time
>
>
> *from* weewx.cheetahgenerator *import* SearchList
>
> *from* weewx.tags *import* TimespanBinder
>
> *from* weeutil.weeutil *import* TimeSpan
>
>
> *class* ExtendedStatistics(SearchList):
>
>
>
> *def** __init__*(self, generator):
>
> SearchList.__init__(self, generator)
>
>
>
> *def** get_extension_list*(self, timespan, db_lookup):
>
> *"""Returns a search list extension with additions.*
>
>
> * timespan: An instance of weeutil.weeutil.TimeSpan. This holds*
>
> * the start and stop times of the domain of valid times.*
>
>
> * db_lookup: Function that returns a database manager given a*
>
> * data binding.*
>
> * """*
>
>
> * # First, create a TimespanBinder object for all time. This one
> is easy*
>
> * # because the object timespan already holds all valid times to
> be*
>
> * # used in the report.*
>
> all_stats = TimespanBinder(timespan,
>
> db_lookup,
>
> context=*'alltime'*,
>
> formatter=self.generator.formatter,
>
> converter=self.generator.converter)
>
>
>
> * # Now use a similar process to get statistics for the last 24
> hours.*
>
> hour_dt = datetime.date.fromtimestamp(timespan.stop) -
> datetime.timedelta(hour=24)
>
> hour_ts = time.mktime(hour_dt.timetuple())
>
> 24_hours_stats = TimespanBinder(TimeSpan(hour_ts, timespan.stop),
>
> db_lookup,
>
> context=*'24_hrs'*,
>
>
> formatter=self.generator.formatter,
>
>
> converter=self.generator.converter)
>
>
> * # Now create a TimespanBinder for the last seven days. This one
> we*
>
> * # will have to calculate. First, calculate the time at midnight,
> seven*
>
> * # days ago. The variable week_dt will be an instance of
> datetime.date.*
>
> week_dt = datetime.date.fromtimestamp(timespan.stop) -
> datetime.timedelta(weeks=1)
>
> week_ts = time.mktime(week_dt.timetuple())
>
> seven_day_stats = TimespanBinder(TimeSpan(week_ts, timespan.stop),
>
> db_lookup,
>
> context=*'seven_day'*,
>
>
> formatter=self.generator.formatter,
>
>
> converter=self.generator.converter)
>
>
> * # Now use a similar process to get statistics for the last 30
> days.*
>
> days_dt = datetime.date.fromtimestamp(timespan.stop) -
> datetime.timedelta(days=30)
>
> days_ts = time.mktime(days_dt.timetuple())
>
> thirty_day_stats = TimespanBinder(TimeSpan(days_ts, timespan.stop),
>
> db_lookup,
>
> context=*'thirty_day'*,
>
>
> formatter=self.generator.formatter,
>
>
> converter=self.generator.converter)
>
>
> *return* [{*'alltime'*: all_stats,
>
> *'24_hrs'*: 24_hours_stats,
>
> *'seven_day'*: seven_day_stats,
>
> *'thirty_day'*: thirty_day_stats}]
>
>
> *# For backwards compatibility:*
>
> ExtStats = ExtendedStatistics
> "
>
>
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