Lars
6945b748cb
- Increased precision for `kcal_active`, `kcal_resting`, `hr_avg`, and `hr_max` fields in the activity log schema. - Added a new function `_activity_hr_bpm` to validate heart rate values during CSV import, ensuring they fall within plausible ranges. - Updated the CSV parser to utilize the new heart rate validation function for improved data integrity. - Enhanced the type converter to accommodate additional aliases for energy fields in CSV imports. - Added a test to verify conversion of active energy from kJ to kcal, ensuring accurate data handling.
27 lines
1.0 KiB
SQL
27 lines
1.0 KiB
SQL
-- Apple Health Workout (Deutsch): „Aktive Energie (kJ)“ / „Ruheeinträge (kJ)“ → DB speichert kcal.
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-- type_conversions.source_unit „kj“ nutzt field_units (1/4.184).
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UPDATE csv_field_mappings
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SET
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field_mappings = COALESCE(field_mappings, '{}'::jsonb)
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|| '{"Aktive Energie (kJ)": "kcal_active", "Ruheeinträge (kJ)": "kcal_resting"}'::jsonb,
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type_conversions = jsonb_set(
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jsonb_set(
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COALESCE(type_conversions, '{}'::jsonb),
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'{kcal_active}',
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COALESCE(type_conversions->'kcal_active', '{}'::jsonb) || '{"source_unit": "kj"}'::jsonb,
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true
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),
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'{kcal_resting}',
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COALESCE(
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type_conversions->'kcal_resting',
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'{"type": "float", "decimal_separator": ",", "flexible": true}'::jsonb
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) || '{"source_unit": "kj"}'::jsonb,
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true
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)
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WHERE is_system = true
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AND profile_id IS NULL
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AND module = 'activity'
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AND mapping_name = 'Apple Health Workout Export (Deutsch)'
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AND type_conversions IS NOT NULL;
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