I had a rain event on Monday that saw 0.66" fall on my station. All of the
consoles that receive direct from the sensor (433mhz) recorded the same
0.66".
My weewx install uses MQTTSubscribe for all of my observations, via
rtl_433's mqtt output. It recorded 0.48" in total.
My sensor is a cumulative output, so the mqtt topic would read something
like this
rtl_433/pi4b8/devices/Acurite-5n1/A/3030/rain_mm 510.28601
rtl_433/pi4b8/devices/Acurite-5n1/A/3030/rain_mm 511.5
rtl_433/pi4b8/devices/Acurite-5n1/A/3030/rain_mm 516.2
The rain observation is set this way:
[[topics]]
[[[rtl_433/pi4b8/devices/Acurite-5n1/A/3030/rain_mm]]]
name = rain
contains_total = true
I dumped out the timeframe of the rain event from my weewx.sdb, and looked
at where the missing data might've been:
echo "select datetime(dateTime, 'unixepoch', 'localtime'), rain from
archive where datetime(dateTime,'unixepoch','localtime') > "2025-03-10
09:00:00" limit 120;" | sqlite3 weewx.sdb
...
2025-03-10 09:49:00|
2025-03-10 09:50:00|0.0199988188976378
2025-03-10 09:51:00|
2025-03-10 09:52:00|0.0199996062992129
2025-03-10 09:53:00|0.0499996062992106
2025-03-10 09:54:00|0.0599996062992136
2025-03-10 09:55:00|0.0300007874015751
2025-03-10 09:56:00|0.0499984251968492
2025-03-10 09:57:00|0.0400007874015758
2025-03-10 09:58:00|
2025-03-10 09:59:00|0.0100000000000008
2025-03-10 10:00:00|0.0
2025-03-10 10:01:00|0.0
2025-03-10 10:02:00|0.00999999999999852
2025-03-10 10:03:00|
2025-03-10 10:04:00|0.0
...
I've pieced together the 15 missing data points to get that day's total
rainfall to balance with the other consoles.
So with a csv file that looks like this:
Time,Rain
3/10/2025 09:14:00,0.00999881889763705
3/10/2025 09:19:00,0.0100000000000008
3/10/2025 09:24:00,0.0100000000000008
3/10/2025 09:31:00,0.0
3/10/2025 09:38:00,0.0100000000000008
3/10/2025 09:42:00,0.0199984251968514
3/10/2025 09:49:00,0.04
3/10/2025 09:51:00,0.0200000000000016
3/10/2025 10:03:00,0.0
3/10/2025 10:06:00,0.0200000000000015
3/10/2025 10:09:00,0.0
3/10/2025 10:12:00,0.0
3/10/2025 10:17:00,0.0
3/10/2025 10:18:00,0.00999999999999852
3/10/2025 10:19:00,0.0
I'm not confident that my csv.conf import file is correctly configured.
Here's what I've got:
source = CSV
[CSV]
file = /var/lib/weewx/rain.csv
delimiter = ','
decimal = '.'
interval = conf
qc = True
calc_missing = True
ignore_invalid_data = True
tranche = 250
raw_datetime_format = %m/%d/%Y %H:%M:%S
wind_direction = -360,360
# is_cumulative - Config option specifying whether the CSV
# field being mapped is cumulative,
# e.g: dayrain. Optional, default value is
# False.
[[FieldMap]]
[[[dateTime]]]
source_field = Time
unit = unix_epoch
[[[rain]]]
source_field = Rain
unit = mm
is_cumulative = False
I'm unsure of the interval = conf setting. My weewx.conf uses a 60-second
archive_interval, and the missing data points are what would've been
recorded in those missing periods... Or should it be interval = x (in my
case, 1 minute)?
For [[FieldMap]] > [[[rain]]] > is_cumulative, I'm unsure what it should
be, and subsequently what my csv data should be. My data points are the
values of what fell in those minute intervals, the current.[running total]
at each of those periods. is is_cumulative expecting data that is a running
total (510.2,511.5,516.2), or just the delta (1.3,0.7,etc)?
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