Result too log, truncated to 100000 characters

[KaliszS]

Pagination (with recursion maybe) needs to be implemented, because already too many rows in result ends up with truncating data.

[bartmichalak]

Yes, I ran into that issue:

But I'm wondering if pagination is really a good idea? It doesn't solve the problem of processing very large amounts of data by the LLM, which is very costly. Wouldn't a better approach be to pre-process this data server-side before returning the response? This way we would be able to save many tokens.
This limitation applies to all data types with high sampling frequency. In my 6-year dataset, I had the highest number of records for:

• active energy (active energy burned): 1.9 million records
• basal metabolism (basal energy burned): 696k records
• heart rate: 607k records

Perhaps for individual types with high sampling frequency, there should be dedicated tools that perform this pre-processing through temporal aggregation, downsampling, or data segmentation.

WDYT?

[bartmichalak]

I think it might be useful if I share the number of my records here (summary generated using Claude via this MCP server 😁 ) to provide some insight into data types with high sampling frequency.

Total Records: 4,932,362

• HKQuantityTypeIdentifierActiveEnergyBurned: 1,934,715
• HKQuantityTypeIdentifierBasalEnergyBurned: 695,903
• HKQuantityTypeIdentifierHeartRate: 606,774
• HKQuantityTypeIdentifierDistanceWalkingRunning: 525,721
• HKQuantityTypeIdentifierStepCount: 339,895
• HKQuantityTypeIdentifierDistanceCycling: 156,524
• HKQuantityTypeIdentifierAppleStandTime: 117,785
• HKQuantityTypeIdentifierAppleExerciseTime: 84,134
• HKQuantityTypeIdentifierPhysicalEffort: 78,791
• HKQuantityTypeIdentifierWalkingStepLength: 50,668
• HKQuantityTypeIdentifierWalkingSpeed: 50,666
• HKQuantityTypeIdentifierRespiratoryRate: 45,750
• HKQuantityTypeIdentifierWalkingDoubleSupportPercentage: 42,814
• HKCategoryTypeIdentifierAppleStandHour: 40,819
• HKQuantityTypeIdentifierWalkingAsymmetryPercentage: 24,005
• HKQuantityTypeIdentifierRunningPower: 20,865
• HKQuantityTypeIdentifierRunningSpeed: 20,859
• HKQuantityTypeIdentifierFlightsClimbed: 20,083
• HKCategoryTypeIdentifierSleepAnalysis: 14,534
• HKQuantityTypeIdentifierRunningVerticalOscillation: 9,743
• HKQuantityTypeIdentifierHeartRateVariabilitySDNN: 9,664
• HKQuantityTypeIdentifierRunningGroundContactTime: 9,606
• HKQuantityTypeIdentifierRunningStrideLength: 9,597
• HKQuantityTypeIdentifierEnvironmentalAudioExposure: 3,881
• HKQuantityTypeIdentifierTimeInDaylight: 3,807
• HKQuantityTypeIdentifierOxygenSaturation: 2,724
• HKQuantityTypeIdentifierHeadphoneAudioExposure: 2,531
• HKQuantityTypeIdentifierRestingHeartRate: 2,078
• HKQuantityTypeIdentifierWalkingHeartRateAverage: 1,771
• HKQuantityTypeIdentifierStairDescentSpeed: 1,539
• HKQuantityTypeIdentifierStairAscentSpeed: 1,437
• HKQuantityTypeIdentifierVO2Max: 643
• HKQuantityTypeIdentifierDistanceSwimming: 302
• HKQuantityTypeIdentifierSwimmingStrokeCount: 302
• HKQuantityTypeIdentifierEnvironmentalSoundReduction: 207
• HKQuantityTypeIdentifierAppleWalkingSteadiness: 201
• HKQuantityTypeIdentifierSixMinuteWalkTestDistance: 195
• HKQuantityTypeIdentifierBodyMass: 109
• HKQuantityTypeIdentifierBodyMassIndex: 106
• HKQuantityTypeIdentifierAppleSleepingBreathingDisturbances: 82
• HKQuantityTypeIdentifierWaterTemperature: 72
• HKQuantityTypeIdentifierBodyFatPercentage: 68
• HKQuantityTypeIdentifierLeanBodyMass: 68
• HKCategoryTypeIdentifierAudioExposureEvent: 61
• HKQuantityTypeIdentifierHeartRateRecoveryOneMinute: 55
• HKCorrelationTypeIdentifierBloodPressure: 51
• HKQuantityTypeIdentifierBloodPressureDiastolic: 51
• HKQuantityTypeIdentifierBloodPressureSystolic: 51
• HKCategoryTypeIdentifierMindfulSession: 25
• HKQuantityTypeIdentifierDistanceDownhillSnowSports: 17