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-- iPhone 7 (9.3.1)
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-- references:
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--
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-- ref: https://www.mac4n6.com/?offset=1544965200340
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-- https://www.sans.org/cyber-security-summit/archives/file/summit-archive-1528385073.pdf
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-- https://objectivebythesea.com/v1/talks/OBTS_v1_Edwards.pdf
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select
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data_provenances.origin_device||' ('||data_provenances.source_version||')' as 'Device',
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case samples.data_type
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when 3 then 'Weight'
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when 5 then 'Heart Rate'
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when 7 then 'Steps'
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when 8 then 'Distance'
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when 9 then 'Resting Energy'
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when 10 then 'Active Energy'
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when 12 then 'Flights Climbed'
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when 67 then 'Weekly Calorie Goal'
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when 70 then 'Watch On'
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when 75 then 'Standing'
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when 76 then 'Activity'
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when 79 then 'Workout'
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when 83 then 'Some workouts'
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else samples.data_type -- 20’s ~ 30’s = Nutrition
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end as 'DataType',
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quantity_samples.original_quantity||' '||unit_strings.unit_string as 'Quantity',
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quantity_samples.quantity as 'Original_Quantity',
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datetime('2001-01-01', samples.start_date || ' seconds') as 'StartDate',
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datetime('2001-01-01', samples.end_date || ' seconds') as 'EndDate'
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from samples
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left join activity_caches on activity_caches.data_id = samples.data_id
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left join quantity_samples on quantity_samples.data_id = samples.data_id
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left join correlations on samples.data_id = correlations.object
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left join data_provenances on data_provenances.ROWID = quantity_samples.original_unit
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left join unit_strings on unit_strings.ROWID = quantity_samples.original_unit
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--where data_type = 5 -- filter by heart rate
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order by StartDate desc
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