![]() ![]() There is data in the 'cycles' tree - this does seem to be useful - it (claims to) include start and end-times for heating both in time format and via a 'plainText' field which contains entries such as " heating cycle from 6:01 AM to 8:09 AM". Unfortunately this appears largely useless - it's not consistently populated and what data is there seems unrealistic. The top-level of the data hierarchy is the day.Īt this per-day level there's a parameter called " totalHeatingSeconds". The json files claiming to contain the relevant data are organised as monthly summaries. ![]() I've just spend several hours parsing the json files in Python and found inconsistencies between my analysis and the 'last 10 days' data available from Nest. ![]()
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