On Tue, Mar 7, 2017 at 11:40 PM, Tony Colley <[email protected]> wrote:
> Is there something missing from xstats.py needed to support
> heatdeg/cooldeg?
>
>
Yes, there is. The xstats.py example uses a simplified way of building the
TimespanBinder object. Here's a patch that uses a more compete method. Let
me know if it works.
diff --git a/extensions/xstats/bin/user/xstats.py
b/extensions/xstats/bin/user/xstats.py
index f663f09..725e35d 100644
--- a/extensions/xstats/bin/user/xstats.py
+++ b/extensions/xstats/bin/user/xstats.py
@@ -46,7 +46,11 @@
db_lookup,
context='alltime',
formatter=self.generator.formatter,
- converter=self.generator.converter)
+ converter=self.generator.converter,
+
week_start=self.generator.stn_info.week_start,
+
rain_year_start=self.generator.stn_info.rain_year_start,
+ trend=trend_dict,
+ skin_dict=self.generator.skin_dict)
# Now create a TimespanBinder for the last seven days. This one we
# will have to calculate. First, calculate the time at midnight,
seven
@@ -59,7 +63,11 @@
db_lookup,
context='seven_day',
formatter=self.generator.formatter,
-
converter=self.generator.converter)
+
converter=self.generator.converter,
+
week_start=self.generator.stn_info.week_start,
+
rain_year_start=self.generator.stn_info.rain_year_start,
+ trend=trend_dict,
+
skin_dict=self.generator.skin_dict)
# Now use a similar process to get statistics for the last 30 days.
days_dt = datetime.date.fromtimestamp(timespan.stop) -
datetime.timedelta(days=30)
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