Bulk export history

Run this query in Folio:

readAll(point and his).hisRead(2020-01-01..2024-12-31,{-limit}).renameCols(readAll(point and his).hisRead(null).removeCol("ts").cols.reduce({}, (acc, column) => acc.set(column.name,column.meta["navName"].toTagName))

Get the Zinc result and paste it in a spreadsheet, should be something like this:

ver: "3" view: "chart" hisStart: 2024-12-31T23:00:00.000Z hisStartTimezone: "Rome" hisStartOffset: 60 hisEnd: 2025-12-31T23:00:00.000Z hisEndTimezone: "Rome" hisEndOffset: 60 hisLimit: 999999999 dis: "2025"
ts,em20EnergyActive,em12EnergyActive,em15EnergyActive,em14EnergyActive,em22EnergyActive,em21EnergyActive,em19EnergyActive,em35EnergyActive,em07EnergyActive
2024-12-31T23:00:00.000Z,0kWh,0kWh,3.75kWh,3kWh,3.25kWh,0.75kWh,0kWh,0kWh,0kWh,30kWh,0.03125kWh,0.125kWh,0.03125kWh,2.5kWh,0kWh,0.0625kWh
2025-01-01T00:00:00.000Z,0kWh,0kWh,34kWh,0kWh,34.25kWh,0kWh,0kWh,0kWh,0.125kWh,33.75kWh,0kWh,0kWh,0kWh,0.25kWh,0kWh,0kWh
2025-01-01T01:00:00.000Z,0.015625kWh,-1kWh,3.25kWh,25.5kWh,3.75kWh,0.5kWh,0.109375kWh,0.109375kWh,0kWh,29.75kWh,0.34375kWh,0.28515625kWh,0.375kWh,27kWh,0.40625kWh,0kWh

Some notes:

the time range can be customized in the first hisRead, see Span for accepted values
the queried points can be customized, but both the readAll occurrencies have to match
column names cannot be duplicated; in that case, use column.meta.dis instead of column.meta["navName"]
toTagName is needed to comply with rules for column names
as this query calls twice readAll(...).hisRead(...), it can be expensive