Good to know. I can't remember how I recalculated the rainRate some years 
ago, when I switched from an 1h-interval to a 15-min interval. Obviously 
not with --calc-missing, because it worked :)

gjr80 schrieb am Dienstag, 14. Mai 2024 um 23:55:01 UTC+2:

> Whilst rainRate may be a value calculated by WeeWX, the current 
> StdWXCalculate service is limited in that it can only calculate rainRate 
> from loop packet data. In the case of a backfill/recalculate (as with an 
> import) the only rain data available is from archive records and hence 
> rainRate is not calculated. In these cases rainRate must be manually 
> calculated.
>
> Issue #787 <https://github.com/weewx/weewx/issues/787> was raised to 
> address this behaviour for imports. Any resolution to issue #787 would 
> likely fix the rainRate re-calculate behaviour as well, but I have no 
>  timeframe for when issue #787 might be addressed.
>
> Gary
>
> On Tuesday 14 May 2024 at 23:39:19 UTC+10 michael.k...@gmx.at wrote:
>
>> rainRate is a calculated value: 
>> https://weewx.com/docs/5.0/reference/weewx-options/stdwxcalculate/
>>
>> So first you correct all the rain values and may want to delete rainRate 
>> values from your database
>> Second recalculate them: 
>> https://weewx.com/docs/5.0/utilities/weectl-database/#calculate-missing-derived-variables
>> Third drop the daily summaries 
>> https://weewx.com/docs/5.0/utilities/weectl-database/#drop-the-daily-summaries
>> Fourth rebuild the daily summaries 
>> https://weewx.com/docs/5.0/utilities/weectl-database/#rebuild-the-daily-summaries
>>
>> If your archive values are sane, your totals will be sane then.
>> Consider only dropping/rebuilding the daily summaries for days with bad 
>> data, this will be faster and you won't lose the exact timestamps/value for 
>> min/max records on all the other days. See these switches in the docs:  
>> [[--date=YYYY-mm-dd] 
>> | [--from=YYYY-mm-dd] [--to=YYYY-mm-dd]]
>>
>> Kevin Crivelli schrieb am Dienstag, 14. Mai 2024 um 14:48:16 UTC+2:
>>
>>> I did everything here. It is how I was able to remove the bad rainrate 
>>> data. The problem now is that while the bad rainrate data is gone, the 
>>> resulting rain total data is not. I need to get the rain totals to reflect 
>>> the rainrate data now. The totals are still considering the bad rainrate 
>>> data that has been removed. 
>>>
>>> On Tue, May 7, 2024, 2:22 PM vince <vince...@gmail.com> wrote:
>>>
>>>> You might want to consult the wiki.  That's why hundreds of hours have 
>>>> been spent creating it.
>>>>
>>>> https://github.com/weewx/weewx/wiki/Cleaning-up-old-'bad'-data
>>>>
>>>> On Tuesday, May 7, 2024 at 9:19:04 AM UTC-7 Kevin Crivelli wrote:
>>>>
>>>>> or perhaps there is a way to rebuild the raintotals fields from the 
>>>>> current rainrate data
>>>>>
>>>>> On Tuesday, May 7, 2024 at 12:17:20 PM UTC-4 Kevin Crivelli wrote:
>>>>>
>>>>>> I removed bad rainrate data but it did not effect the raintotals 
>>>>>> field. I was able to determine the epoch date-time for the bad rainrate 
>>>>>> data. Having those I was going to delete the rain_total values for those 
>>>>>> entries but how would I have that then reflect in the following 
>>>>>> rain_total 
>>>>>> fields?
>>>>>>
>>>>>> chatgpt gave me this which I feel is a start but I'm not quite there 
>>>>>> yet. anyone able to help me with this?
>>>>>>
>>>>>> -- Store the rain total of the specific datetime in a variable
>>>>>> SET @deleted_rain_total = (SELECT rain_total FROM your_table WHERE 
>>>>>> datetime = specific_datetime);
>>>>>>
>>>>>> -- Delete the rain total at the specific datetime
>>>>>> DELETE FROM your_table WHERE datetime = specific_datetime;
>>>>>>
>>>>>> -- Decrease the rain totals for the following datetimes
>>>>>> UPDATE your_table
>>>>>> SET rain_total = rain_total - @deleted_rain_total
>>>>>> WHERE datetime > specific_datetime;
>>>>>>
>>>>>> These are the date and times of the entries that need their raintotal 
>>>>>> nulled and then the proceeding raintotals to reflect the change
>>>>>>
>>>>>>     1699559700: 2024-05-10 01:55:00
>>>>>>     1699560000: 2024-05-10 01:56:40
>>>>>>     1709221800: 2024-05-26 06:50:00
>>>>>>     1709222100: 2024-05-26 06:55:00
>>>>>>     1713436800: 2024-06-16 10:00:00
>>>>>>     1713437100: 2024-06-16 10:05:00
>>>>>>     1713780900: 2024-06-20 03:35:00
>>>>>>     1713781200: 2024-06-20 03:40:00
>>>>>>     1714771200: 2024-06-25 18:40:00
>>>>>>     1714771500: 2024-06-25 18:45:00
>>>>>>     1699559400: 2024-05-10 01:50:00
>>>>>>     1699560300: 2024-05-10 01:51:40
>>>>>>     1709221500: 2024-05-26 06:45:00
>>>>>>     1713437400: 2024-06-16 10:10:00
>>>>>>     1713781500: 2024-06-20 03:05:00
>>>>>>     1714771800: 2024-06-25 18:10:00
>>>>>>
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>>>>
>>>

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