2457 lines
76 KiB
HTML
2457 lines
76 KiB
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<title>fitbitjson_csv - RAPIDS</title>
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fitbitjson_csv
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Execution
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Citation
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</nav>
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Data Streams
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<nav class="md-nav" aria-label="Data Streams" data-md-level="1">
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Data Streams
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Introduction
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Phone
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Phone
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<li class="md-nav__item">
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<a href="../aware-mysql/" class="md-nav__link">
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aware_mysql
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</a>
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<li class="md-nav__item">
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<a href="../aware-csv/" class="md-nav__link">
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aware_csv
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</a>
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<li class="md-nav__item">
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<a href="../aware-influxdb/" class="md-nav__link">
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aware_influxdb (beta)
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</a>
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<li class="md-nav__item">
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<a href="../mandatory-phone-format/" class="md-nav__link">
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Mandatory Phone Format
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</ul>
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</nav>
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<li class="md-nav__item md-nav__item--active md-nav__item--nested">
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<label class="md-nav__link" for="__nav_3_3">
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Fitbit
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" aria-label="Fitbit" data-md-level="2">
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<label class="md-nav__title" for="__nav_3_3">
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<span class="md-nav__icon md-icon"></span>
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Fitbit
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<li class="md-nav__item">
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<a href="../fitbitjson-mysql/" class="md-nav__link">
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fitbitjson_mysql
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<li class="md-nav__item md-nav__item--active">
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<input class="md-nav__toggle md-toggle" data-md-toggle="toc" type="checkbox" id="__toc">
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<label class="md-nav__link md-nav__link--active" for="__toc">
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fitbitjson_csv
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<span class="md-nav__icon md-icon"></span>
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</label>
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<a href="./" class="md-nav__link md-nav__link--active">
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fitbitjson_csv
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</a>
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<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
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<span class="md-nav__icon md-icon"></span>
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Table of contents
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<a href="#container" class="md-nav__link">
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Container
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<li class="md-nav__item">
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<a href="#format" class="md-nav__link">
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Format
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</nav>
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<li class="md-nav__item">
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<a href="../fitbitparsed-mysql/" class="md-nav__link">
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fitbitparsed_mysql
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<li class="md-nav__item">
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<a href="../fitbitparsed-csv/" class="md-nav__link">
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fitbitparsed_csv
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<li class="md-nav__item">
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<a href="../mandatory-fitbit-format/" class="md-nav__link">
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Mandatory Fitbit Format
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</ul>
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</nav>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_3_4" type="checkbox" id="__nav_3_4" >
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<label class="md-nav__link" for="__nav_3_4">
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Empatica
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" aria-label="Empatica" data-md-level="2">
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<label class="md-nav__title" for="__nav_3_4">
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<span class="md-nav__icon md-icon"></span>
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Empatica
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../empatica-zip/" class="md-nav__link">
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empatica_zip
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</a>
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<li class="md-nav__item">
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<a href="../mandatory-empatica-format/" class="md-nav__link">
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Mandatory Empatica Format
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</a>
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</ul>
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</nav>
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<li class="md-nav__item">
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<a href="../add-new-data-streams/" class="md-nav__link">
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Add New Data Streams
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</ul>
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</nav>
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_4" type="checkbox" id="__nav_4" >
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<label class="md-nav__link" for="__nav_4">
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Behavioral Features
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</label>
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<nav class="md-nav" aria-label="Behavioral Features" data-md-level="1">
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<label class="md-nav__title" for="__nav_4">
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<span class="md-nav__icon md-icon"></span>
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Behavioral Features
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../features/feature-introduction/" class="md-nav__link">
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Introduction
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</a>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_4_2" type="checkbox" id="__nav_4_2" >
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<label class="md-nav__link" for="__nav_4_2">
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Phone
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" aria-label="Phone" data-md-level="2">
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<label class="md-nav__title" for="__nav_4_2">
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<span class="md-nav__icon md-icon"></span>
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Phone
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../features/phone-accelerometer/" class="md-nav__link">
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Phone Accelerometer
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../features/phone-activity-recognition/" class="md-nav__link">
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Phone Activity Recognition
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../features/phone-applications-crashes/" class="md-nav__link">
|
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Phone Applications Crashes
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-applications-foreground/" class="md-nav__link">
|
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Phone Applications Foreground
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../features/phone-applications-notifications/" class="md-nav__link">
|
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Phone Applications Notifications
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-battery/" class="md-nav__link">
|
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Phone Battery
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-bluetooth/" class="md-nav__link">
|
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Phone Bluetooth
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-calls/" class="md-nav__link">
|
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Phone Calls
|
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</a>
|
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</li>
|
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<li class="md-nav__item">
|
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<a href="../../features/phone-conversation/" class="md-nav__link">
|
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Phone Conversation
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-data-yield/" class="md-nav__link">
|
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Phone Data Yield
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../features/phone-keyboard/" class="md-nav__link">
|
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Phone Keyboard
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-light/" class="md-nav__link">
|
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Phone Light
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-locations/" class="md-nav__link">
|
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Phone Locations
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../features/phone-log/" class="md-nav__link">
|
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Phone Log
|
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</a>
|
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</li>
|
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<li class="md-nav__item">
|
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<a href="../../features/phone-messages/" class="md-nav__link">
|
|
Phone Messages
|
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</a>
|
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</li>
|
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<li class="md-nav__item">
|
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<a href="../../features/phone-screen/" class="md-nav__link">
|
|
Phone Screen
|
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</a>
|
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</li>
|
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<li class="md-nav__item">
|
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<a href="../../features/phone-wifi-connected/" class="md-nav__link">
|
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Phone WiFI Connected
|
|
</a>
|
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</li>
|
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<li class="md-nav__item">
|
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<a href="../../features/phone-wifi-visible/" class="md-nav__link">
|
|
Phone WiFI Visible
|
|
</a>
|
|
</li>
|
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</ul>
|
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</nav>
|
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</li>
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<li class="md-nav__item md-nav__item--nested">
|
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_4_3" type="checkbox" id="__nav_4_3" >
|
|
|
|
|
|
|
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|
|
<label class="md-nav__link" for="__nav_4_3">
|
|
Fitbit
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
|
|
<nav class="md-nav" aria-label="Fitbit" data-md-level="2">
|
|
<label class="md-nav__title" for="__nav_4_3">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
Fitbit
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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|
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|
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<li class="md-nav__item">
|
|
<a href="../../features/fitbit-data-yield/" class="md-nav__link">
|
|
Fitbit Data Yield
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
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<a href="../../features/fitbit-heartrate-summary/" class="md-nav__link">
|
|
Fitbit Heart Rate Summary
|
|
</a>
|
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</li>
|
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<li class="md-nav__item">
|
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<a href="../../features/fitbit-heartrate-intraday/" class="md-nav__link">
|
|
Fitbit Heart Rate Intraday
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
|
<a href="../../features/fitbit-sleep-summary/" class="md-nav__link">
|
|
Fitbit Sleep Summary
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
|
<a href="../../features/fitbit-sleep-intraday/" class="md-nav__link">
|
|
Fitbit Sleep Intraday
|
|
</a>
|
|
</li>
|
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|
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<li class="md-nav__item">
|
|
<a href="../../features/fitbit-steps-summary/" class="md-nav__link">
|
|
Fitbit Steps Summary
|
|
</a>
|
|
</li>
|
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|
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<li class="md-nav__item">
|
|
<a href="../../features/fitbit-steps-intraday/" class="md-nav__link">
|
|
Fitbit Steps Intraday
|
|
</a>
|
|
</li>
|
|
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|
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|
|
</ul>
|
|
</nav>
|
|
</li>
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<li class="md-nav__item md-nav__item--nested">
|
|
|
|
|
|
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_4_4" type="checkbox" id="__nav_4_4" >
|
|
|
|
|
|
|
|
|
|
<label class="md-nav__link" for="__nav_4_4">
|
|
Empatica
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
|
|
<nav class="md-nav" aria-label="Empatica" data-md-level="2">
|
|
<label class="md-nav__title" for="__nav_4_4">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
Empatica
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../features/empatica-accelerometer/" class="md-nav__link">
|
|
Empatica Accelerometer
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../features/empatica-heartrate/" class="md-nav__link">
|
|
Empatica Heart Rate
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../features/empatica-temperature/" class="md-nav__link">
|
|
Empatica Temperature
|
|
</a>
|
|
</li>
|
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|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../features/empatica-electrodermal-activity/" class="md-nav__link">
|
|
Empatica Electrodermal Activity
|
|
</a>
|
|
</li>
|
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|
|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../features/empatica-blood-volume-pulse/" class="md-nav__link">
|
|
Empatica Blood Volume Pulse
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../features/empatica-inter-beat-interval/" class="md-nav__link">
|
|
Empatica Inter Beat Interval
|
|
</a>
|
|
</li>
|
|
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|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../features/empatica-tags/" class="md-nav__link">
|
|
Empatica Tags
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
</ul>
|
|
</nav>
|
|
</li>
|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../features/add-new-features/" class="md-nav__link">
|
|
Add New Features
|
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z"/></svg>
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<h1 id="fitbitjson_csv"><code>fitbitjson_csv</code><a class="headerlink" href="#fitbitjson_csv" title="Permanent link">¶</a></h1>
|
|
<p>This <a href="../../datastreams/data-streams-introduction">data stream</a> handles Fitbit sensor data downloaded using the <a href="https://dev.fitbit.com/build/reference/web-api/">Fitbit Web API</a> and stored in a CSV file. Please note that RAPIDS cannot query the API directly; you need to use other available tools or implement your own. Once you have your sensor data in a CSV file, RAPIDS can process it.</p>
|
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<div class="admonition warning">
|
|
<p class="admonition-title">Warning</p>
|
|
<p>The CSV files have to use <code>,</code> as separator, <code>\</code> as escape character (do not escape <code>"</code> with <code>""</code>), and wrap any string columns with <code>"</code>.</p>
|
|
<details class="example"><summary>Example of a valid CSV file</summary><div class="highlight"><pre><span></span><code>"timestamp","device_id","label","fitbit_id","fitbit_data_type","fitbit_data"
|
|
1587614400000,"a748ee1a-1d0b-4ae9-9074-279a2b6ba524","5S","5ZKN9B","steps","{\"activities-steps\":[{\"dateTime\":\"2020-04-23\",\"value\":\"7881\"}]"
|
|
</code></pre></div>
|
|
</details>
|
|
</div>
|
|
<h2 id="container">Container<a class="headerlink" href="#container" title="Permanent link">¶</a></h2>
|
|
<p>The container should be a CSV file per Fitbit sensor, each containing all participants’ data.</p>
|
|
<p>The script to connect and download data from this container is at:
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/fitbitjson_csv/container.R
|
|
</code></pre></div></p>
|
|
<h2 id="format">Format<a class="headerlink" href="#format" title="Permanent link">¶</a></h2>
|
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<p>The <code>format.yaml</code> maps and transforms columns in your raw data stream to the <a href="../mandatory-fitbit-format">mandatory columns RAPIDS needs for Fitbit sensors</a>. This file is at:</p>
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/fitbitjson_csv/format.yaml
|
|
</code></pre></div>
|
|
<p>If you want RAPIDS to process Fitbit sensor data using this stream, you will need to map <code>DEVICE_ID</code> and <code>JSON_FITBIT_COLUMN</code> to your own raw data columns inside <strong>each sensor</strong> section in <code>format.yaml</code>.</p>
|
|
<details class="info"><summary>FITBIT_HEARTRATE_SUMMARY</summary><p><strong>RAPIDS_COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>RAPIDS column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>LOCAL_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>DEVICE_ID</td>
|
|
<td>device_id</td>
|
|
</tr>
|
|
<tr>
|
|
<td>HEARTRATE_DAILY_RESTINGHR</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>HEARTRATE_DAILY_CALORIESOUTOFRANGE</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
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<td>HEARTRATE_DAILY_CALORIESFATBURN</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
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<tr>
|
|
<td>HEARTRATE_DAILY_CALORIESCARDIO</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>HEARTRATE_DAILY_CALORIESPEAK</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>MUTATION</strong></p>
|
|
<ul>
|
|
<li>
|
|
<p><strong>COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Script column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>JSON_FITBIT_COLUMN</td>
|
|
<td>fitbit_data</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</li>
|
|
<li>
|
|
<p><strong>SCRIPTS</strong></p>
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/mutations/fitbit/parse_heartrate_summary_json.py
|
|
</code></pre></div>
|
|
<div class="admonition note">
|
|
<p class="admonition-title">Note<p>All columns except <code>DEVICE_ID</code> are parsed from <code>JSON_FITBIT_COLUMN</code>. <code>JSON_FITBIT_COLUMN</code> is a string column containing the JSON objects returned by Fitbit’s API. See an example of the raw data RAPIDS expects for this data stream:</p>
|
|
</p>
|
|
<details class="example"><summary>Example of the raw data RAPIDS expects for this data stream</summary><table>
|
|
<thead>
|
|
<tr>
|
|
<th>device_id</th>
|
|
<th>fitbit_data</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“activities-heart”:[{“dateTime”:”2020-10-07”,”value”:{“customHeartRateZones”:[],”heartRateZones”:[{“caloriesOut”:1200.6102,”max”:88,”min”:31,”minutes”:1058,”name”:”Out of Range”},{“caloriesOut”:760.3020,”max”:120,”min”:86,”minutes”:366,”name”:”Fat Burn”},{“caloriesOut”:15.2048,”max”:146,”min”:120,”minutes”:2,”name”:”Cardio”},{“caloriesOut”:0,”max”:221,”min”:148,”minutes”:0,”name”:”Peak”}],”restingHeartRate”:72}}],”activities-heart-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:68},{“time”:”00:01:00”,”value”:67},{“time”:”00:02:00”,”value”:67},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“activities-heart”:[{“dateTime”:”2020-10-08”,”value”:{“customHeartRateZones”:[],”heartRateZones”:[{“caloriesOut”:1100.1120,”max”:89,”min”:30,”minutes”:921,”name”:”Out of Range”},{“caloriesOut”:660.0012,”max”:118,”min”:82,”minutes”:361,”name”:”Fat Burn”},{“caloriesOut”:23.7088,”max”:142,”min”:108,”minutes”:3,”name”:”Cardio”},{“caloriesOut”:0,”max”:221,”min”:148,”minutes”:0,”name”:”Peak”}],”restingHeartRate”:70}}],”activities-heart-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:77},{“time”:”00:01:00”,”value”:75},{“time”:”00:02:00”,”value”:73},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“activities-heart”:[{“dateTime”:”2020-10-09”,”value”:{“customHeartRateZones”:[],”heartRateZones”:[{“caloriesOut”:750.3615,”max”:77,”min”:30,”minutes”:851,”name”:”Out of Range”},{“caloriesOut”:734.1516,”max”:107,”min”:77,”minutes”:550,”name”:”Fat Burn”},{“caloriesOut”:131.8579,”max”:130,”min”:107,”minutes”:29,”name”:”Cardio”},{“caloriesOut”:0,”max”:220,”min”:130,”minutes”:0,”name”:”Peak”}],”restingHeartRate”:69}}],”activities-heart-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:90},{“time”:”00:01:00”,”value”:89},{“time”:”00:02:00”,”value”:88},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</details>
|
|
</div>
|
|
</li>
|
|
</ul>
|
|
</details>
|
|
<details class="info"><summary>FITBIT_HEARTRATE_INTRADAY</summary><p><strong>RAPIDS_COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>RAPIDS column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>LOCAL_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>DEVICE_ID</td>
|
|
<td>device_id</td>
|
|
</tr>
|
|
<tr>
|
|
<td>HEARTRATE</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>HEARTRATE_ZONE</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>MUTATION</strong></p>
|
|
<ul>
|
|
<li>
|
|
<p><strong>COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Script column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>JSON_FITBIT_COLUMN</td>
|
|
<td>fitbit_data</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</li>
|
|
<li>
|
|
<p><strong>SCRIPTS</strong></p>
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/mutations/fitbit/parse_heartrate_intraday_json.py
|
|
</code></pre></div>
|
|
<div class="admonition note">
|
|
<p class="admonition-title">Note<p>All columns except <code>DEVICE_ID</code> are parsed from <code>JSON_FITBIT_COLUMN</code>. <code>JSON_FITBIT_COLUMN</code> is a string column containing the JSON objects returned by Fitbit’s API. See an example of the raw data RAPIDS expects for this data stream:</p>
|
|
</p>
|
|
<details class="example"><summary>Example of the raw data RAPIDS expects for this data stream</summary><table>
|
|
<thead>
|
|
<tr>
|
|
<th>device_id</th>
|
|
<th>fitbit_data</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“activities-heart”:[{“dateTime”:”2020-10-07”,”value”:{“customHeartRateZones”:[],”heartRateZones”:[{“caloriesOut”:1200.6102,”max”:88,”min”:31,”minutes”:1058,”name”:”Out of Range”},{“caloriesOut”:760.3020,”max”:120,”min”:86,”minutes”:366,”name”:”Fat Burn”},{“caloriesOut”:15.2048,”max”:146,”min”:120,”minutes”:2,”name”:”Cardio”},{“caloriesOut”:0,”max”:221,”min”:148,”minutes”:0,”name”:”Peak”}],”restingHeartRate”:72}}],”activities-heart-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:68},{“time”:”00:01:00”,”value”:67},{“time”:”00:02:00”,”value”:67},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“activities-heart”:[{“dateTime”:”2020-10-08”,”value”:{“customHeartRateZones”:[],”heartRateZones”:[{“caloriesOut”:1100.1120,”max”:89,”min”:30,”minutes”:921,”name”:”Out of Range”},{“caloriesOut”:660.0012,”max”:118,”min”:82,”minutes”:361,”name”:”Fat Burn”},{“caloriesOut”:23.7088,”max”:142,”min”:108,”minutes”:3,”name”:”Cardio”},{“caloriesOut”:0,”max”:221,”min”:148,”minutes”:0,”name”:”Peak”}],”restingHeartRate”:70}}],”activities-heart-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:77},{“time”:”00:01:00”,”value”:75},{“time”:”00:02:00”,”value”:73},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“activities-heart”:[{“dateTime”:”2020-10-09”,”value”:{“customHeartRateZones”:[],”heartRateZones”:[{“caloriesOut”:750.3615,”max”:77,”min”:30,”minutes”:851,”name”:”Out of Range”},{“caloriesOut”:734.1516,”max”:107,”min”:77,”minutes”:550,”name”:”Fat Burn”},{“caloriesOut”:131.8579,”max”:130,”min”:107,”minutes”:29,”name”:”Cardio”},{“caloriesOut”:0,”max”:220,”min”:130,”minutes”:0,”name”:”Peak”}],”restingHeartRate”:69}}],”activities-heart-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:90},{“time”:”00:01:00”,”value”:89},{“time”:”00:02:00”,”value”:88},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</details>
|
|
</div>
|
|
</li>
|
|
</ul>
|
|
</details>
|
|
<details class="info"><summary>FITBIT_SLEEP_SUMMARY</summary><p><strong>RAPIDS_COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>RAPIDS column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>TIMESTAMP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>LOCAL_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>LOCAL_START_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>LOCAL_END_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>DEVICE_ID</td>
|
|
<td>device_id</td>
|
|
</tr>
|
|
<tr>
|
|
<td>EFFICIENCY</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>MINUTES_AFTER_WAKEUP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>MINUTES_ASLEEP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>MINUTES_AWAKE</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>MINUTES_TO_FALL_ASLEEP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>MINUTES_IN_BED</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>IS_MAIN_SLEEP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>TYPE</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>MUTATION</strong></p>
|
|
<ul>
|
|
<li>
|
|
<p><strong>COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Script column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>JSON_FITBIT_COLUMN</td>
|
|
<td>fitbit_data</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</li>
|
|
<li>
|
|
<p><strong>SCRIPTS</strong></p>
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/mutations/fitbit/parse_sleep_summary_json.py
|
|
</code></pre></div>
|
|
<div class="admonition note">
|
|
<p class="admonition-title">Note</p>
|
|
<p>Fitbit API has two versions for sleep data, v1 and v1.2. We support both but ignore v1’s <code>count_awake</code>, <code>duration_awake</code>, and <code>count_awakenings</code>, <code>count_restless</code>, <code>duration_restless</code> columns.</p>
|
|
<p>All columns except <code>DEVICE_ID</code> are parsed from <code>JSON_FITBIT_COLUMN</code>. <code>JSON_FITBIT_COLUMN</code> is a string column containing the JSON objects returned by Fitbit’s API. See an example of the raw data RAPIDS expects for this data stream:</p>
|
|
<details class="example"><summary>Example of the expected raw data</summary><table>
|
|
<thead>
|
|
<tr>
|
|
<th>device_id</th>
|
|
<th>fitbit_data</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“sleep”:[{“dateOfSleep”:”2020-10-10”,”duration”:3600000,”efficiency”:92,”endTime”:”2020-10-10T16:37:00.000”,”infoCode”:2,”isMainSleep”:false,”levels”:{“data”:[{“dateTime”:”2020-10-10T15:36:30.000”,”level”:”restless”,”seconds”:60},{“dateTime”:”2020-10-10T15:37:30.000”,”level”:”asleep”,”seconds”:660},{“dateTime”:”2020-10-10T15:48:30.000”,”level”:”restless”,”seconds”:60},…], “summary”:{“asleep”:{“count”:0,”minutes”:56},”awake”:{“count”:0,”minutes”:0},”restless”:{“count”:3,”minutes”:4}}},”logId”:26315914306,”minutesAfterWakeup”:0,”minutesAsleep”:55,”minutesAwake”:5,”minutesToFallAsleep”:0,”startTime”:”2020-10-10T15:36:30.000”,”timeInBed”:60,”type”:”classic”},{“dateOfSleep”:”2020-10-10”,”duration”:22980000,”efficiency”:88,”endTime”:”2020-10-10T08:10:00.000”,”infoCode”:0,”isMainSleep”:true,”levels”:{“data”:[{“dateTime”:”2020-10-10T01:46:30.000”,”level”:”light”,”seconds”:420},{“dateTime”:”2020-10-10T01:53:30.000”,”level”:”deep”,”seconds”:1230},{“dateTime”:”2020-10-10T02:14:00.000”,”level”:”light”,”seconds”:360},…], “summary”:{“deep”:{“count”:3,”minutes”:92,”thirtyDayAvgMinutes”:0},”light”:{“count”:29,”minutes”:193,”thirtyDayAvgMinutes”:0},”rem”:{“count”:4,”minutes”:33,”thirtyDayAvgMinutes”:0},”wake”:{“count”:28,”minutes”:65,”thirtyDayAvgMinutes”:0}}},”logId”:26311786557,”minutesAfterWakeup”:0,”minutesAsleep”:318,”minutesAwake”:65,”minutesToFallAsleep”:0,”startTime”:”2020-10-10T01:46:30.000”,”timeInBed”:383,”type”:”stages”}],”summary”:{“stages”:{“deep”:92,”light”:193,”rem”:33,”wake”:65},”totalMinutesAsleep”:373,”totalSleepRecords”:2,”totalTimeInBed”:443}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“sleep”:[{“dateOfSleep”:”2020-10-11”,”duration”:41640000,”efficiency”:89,”endTime”:”2020-10-11T11:47:00.000”,”infoCode”:0,”isMainSleep”:true,”levels”:{“data”:[{“dateTime”:”2020-10-11T00:12:30.000”,”level”:”wake”,”seconds”:450},{“dateTime”:”2020-10-11T00:20:00.000”,”level”:”light”,”seconds”:870},{“dateTime”:”2020-10-11T00:34:30.000”,”level”:”wake”,”seconds”:780},…], “summary”:{“deep”:{“count”:4,”minutes”:52,”thirtyDayAvgMinutes”:62},”light”:{“count”:32,”minutes”:442,”thirtyDayAvgMinutes”:364},”rem”:{“count”:6,”minutes”:68,”thirtyDayAvgMinutes”:58},”wake”:{“count”:29,”minutes”:132,”thirtyDayAvgMinutes”:94}}},”logId”:26589710670,”minutesAfterWakeup”:1,”minutesAsleep”:562,”minutesAwake”:132,”minutesToFallAsleep”:0,”startTime”:”2020-10-11T00:12:30.000”,”timeInBed”:694,”type”:”stages”}],”summary”:{“stages”:{“deep”:52,”light”:442,”rem”:68,”wake”:132},”totalMinutesAsleep”:562,”totalSleepRecords”:1,”totalTimeInBed”:694}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“sleep”:[{“dateOfSleep”:”2020-10-12”,”duration”:28980000,”efficiency”:93,”endTime”:”2020-10-12T09:34:30.000”,”infoCode”:0,”isMainSleep”:true,”levels”:{“data”:[{“dateTime”:”2020-10-12T01:31:00.000”,”level”:”wake”,”seconds”:600},{“dateTime”:”2020-10-12T01:41:00.000”,”level”:”light”,”seconds”:60},{“dateTime”:”2020-10-12T01:42:00.000”,”level”:”deep”,”seconds”:2340},…], “summary”:{“deep”:{“count”:4,”minutes”:63,”thirtyDayAvgMinutes”:59},”light”:{“count”:27,”minutes”:257,”thirtyDayAvgMinutes”:364},”rem”:{“count”:5,”minutes”:94,”thirtyDayAvgMinutes”:58},”wake”:{“count”:24,”minutes”:69,”thirtyDayAvgMinutes”:95}}},”logId”:26589710673,”minutesAfterWakeup”:0,”minutesAsleep”:415,”minutesAwake”:68,”minutesToFallAsleep”:0,”startTime”:”2020-10-12T01:31:00.000”,”timeInBed”:483,”type”:”stages”}],”summary”:{“stages”:{“deep”:63,”light”:257,”rem”:94,”wake”:69},”totalMinutesAsleep”:415,”totalSleepRecords”:1,”totalTimeInBed”:483}}</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</details>
|
|
</div>
|
|
</li>
|
|
</ul>
|
|
</details>
|
|
<details class="info"><summary>FITBIT_SLEEP_INTRADAY</summary><p><strong>RAPIDS_COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>RAPIDS column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>TIMESTAMP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>LOCAL_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>DEVICE_ID</td>
|
|
<td>device_id</td>
|
|
</tr>
|
|
<tr>
|
|
<td>TYPE_EPISODE_ID</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>DURATION</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>IS_MAIN_SLEEP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>TYPE</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>LEVEL</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>MUTATION</strong></p>
|
|
<ul>
|
|
<li>
|
|
<p><strong>COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Script column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>JSON_FITBIT_COLUMN</td>
|
|
<td>fitbit_data</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</li>
|
|
<li>
|
|
<p><strong>SCRIPTS</strong></p>
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/mutations/fitbit/parse_sleep_intraday_json.py
|
|
</code></pre></div>
|
|
<div class="admonition note">
|
|
<p class="admonition-title">Note</p>
|
|
<p>Fitbit API has two versions for sleep data, v1 and v1.2, we support both.</p>
|
|
<p>All columns except <code>DEVICE_ID</code> are parsed from <code>JSON_FITBIT_COLUMN</code>. <code>JSON_FITBIT_COLUMN</code> is a string column containing the JSON objects returned by Fitbit’s API. See an example of the raw data RAPIDS expects for this data stream:</p>
|
|
<details class="example"><summary>Example of the expected raw data</summary><table>
|
|
<thead>
|
|
<tr>
|
|
<th>device_id</th>
|
|
<th>fitbit_data</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“sleep”:[{“dateOfSleep”:”2020-10-10”,”duration”:3600000,”efficiency”:92,”endTime”:”2020-10-10T16:37:00.000”,”infoCode”:2,”isMainSleep”:false,”levels”:{“data”:[{“dateTime”:”2020-10-10T15:36:30.000”,”level”:”restless”,”seconds”:60},{“dateTime”:”2020-10-10T15:37:30.000”,”level”:”asleep”,”seconds”:660},{“dateTime”:”2020-10-10T15:48:30.000”,”level”:”restless”,”seconds”:60},…], “summary”:{“asleep”:{“count”:0,”minutes”:56},”awake”:{“count”:0,”minutes”:0},”restless”:{“count”:3,”minutes”:4}}},”logId”:26315914306,”minutesAfterWakeup”:0,”minutesAsleep”:55,”minutesAwake”:5,”minutesToFallAsleep”:0,”startTime”:”2020-10-10T15:36:30.000”,”timeInBed”:60,”type”:”classic”},{“dateOfSleep”:”2020-10-10”,”duration”:22980000,”efficiency”:88,”endTime”:”2020-10-10T08:10:00.000”,”infoCode”:0,”isMainSleep”:true,”levels”:{“data”:[{“dateTime”:”2020-10-10T01:46:30.000”,”level”:”light”,”seconds”:420},{“dateTime”:”2020-10-10T01:53:30.000”,”level”:”deep”,”seconds”:1230},{“dateTime”:”2020-10-10T02:14:00.000”,”level”:”light”,”seconds”:360},…], “summary”:{“deep”:{“count”:3,”minutes”:92,”thirtyDayAvgMinutes”:0},”light”:{“count”:29,”minutes”:193,”thirtyDayAvgMinutes”:0},”rem”:{“count”:4,”minutes”:33,”thirtyDayAvgMinutes”:0},”wake”:{“count”:28,”minutes”:65,”thirtyDayAvgMinutes”:0}}},”logId”:26311786557,”minutesAfterWakeup”:0,”minutesAsleep”:318,”minutesAwake”:65,”minutesToFallAsleep”:0,”startTime”:”2020-10-10T01:46:30.000”,”timeInBed”:383,”type”:”stages”}],”summary”:{“stages”:{“deep”:92,”light”:193,”rem”:33,”wake”:65},”totalMinutesAsleep”:373,”totalSleepRecords”:2,”totalTimeInBed”:443}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“sleep”:[{“dateOfSleep”:”2020-10-11”,”duration”:41640000,”efficiency”:89,”endTime”:”2020-10-11T11:47:00.000”,”infoCode”:0,”isMainSleep”:true,”levels”:{“data”:[{“dateTime”:”2020-10-11T00:12:30.000”,”level”:”wake”,”seconds”:450},{“dateTime”:”2020-10-11T00:20:00.000”,”level”:”light”,”seconds”:870},{“dateTime”:”2020-10-11T00:34:30.000”,”level”:”wake”,”seconds”:780},…], “summary”:{“deep”:{“count”:4,”minutes”:52,”thirtyDayAvgMinutes”:62},”light”:{“count”:32,”minutes”:442,”thirtyDayAvgMinutes”:364},”rem”:{“count”:6,”minutes”:68,”thirtyDayAvgMinutes”:58},”wake”:{“count”:29,”minutes”:132,”thirtyDayAvgMinutes”:94}}},”logId”:26589710670,”minutesAfterWakeup”:1,”minutesAsleep”:562,”minutesAwake”:132,”minutesToFallAsleep”:0,”startTime”:”2020-10-11T00:12:30.000”,”timeInBed”:694,”type”:”stages”}],”summary”:{“stages”:{“deep”:52,”light”:442,”rem”:68,”wake”:132},”totalMinutesAsleep”:562,”totalSleepRecords”:1,”totalTimeInBed”:694}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>{“sleep”:[{“dateOfSleep”:”2020-10-12”,”duration”:28980000,”efficiency”:93,”endTime”:”2020-10-12T09:34:30.000”,”infoCode”:0,”isMainSleep”:true,”levels”:{“data”:[{“dateTime”:”2020-10-12T01:31:00.000”,”level”:”wake”,”seconds”:600},{“dateTime”:”2020-10-12T01:41:00.000”,”level”:”light”,”seconds”:60},{“dateTime”:”2020-10-12T01:42:00.000”,”level”:”deep”,”seconds”:2340},…], “summary”:{“deep”:{“count”:4,”minutes”:63,”thirtyDayAvgMinutes”:59},”light”:{“count”:27,”minutes”:257,”thirtyDayAvgMinutes”:364},”rem”:{“count”:5,”minutes”:94,”thirtyDayAvgMinutes”:58},”wake”:{“count”:24,”minutes”:69,”thirtyDayAvgMinutes”:95}}},”logId”:26589710673,”minutesAfterWakeup”:0,”minutesAsleep”:415,”minutesAwake”:68,”minutesToFallAsleep”:0,”startTime”:”2020-10-12T01:31:00.000”,”timeInBed”:483,”type”:”stages”}],”summary”:{“stages”:{“deep”:63,”light”:257,”rem”:94,”wake”:69},”totalMinutesAsleep”:415,”totalSleepRecords”:1,”totalTimeInBed”:483}}</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</details>
|
|
</div>
|
|
</li>
|
|
</ul>
|
|
</details>
|
|
<details class="info"><summary>FITBIT_STEPS_SUMMARY</summary><p><strong>RAPIDS_COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>RAPIDS column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>TIMESTAMP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>DEVICE_ID</td>
|
|
<td>device_id</td>
|
|
</tr>
|
|
<tr>
|
|
<td>LOCAL_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>STEPS</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>MUTATION</strong></p>
|
|
<ul>
|
|
<li>
|
|
<p><strong>COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Script column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>JSON_FITBIT_COLUMN</td>
|
|
<td>fitbit_data</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</li>
|
|
<li>
|
|
<p><strong>SCRIPTS</strong></p>
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/mutations/fitbit/parse_steps_summary_json.py
|
|
</code></pre></div>
|
|
<div class="admonition note">
|
|
<p class="admonition-title">Note<p><code>TIMESTAMP</code>, <code>LOCAL_DATE_TIME</code>, and <code>STEPS</code> are parsed from <code>JSON_FITBIT_COLUMN</code>. <code>JSON_FITBIT_COLUMN</code> is a string column containing the JSON objects returned by Fitbit’s API. See an example of the raw data RAPIDS expects for this data stream:</p>
|
|
</p>
|
|
<details class="example"><summary>Example of the expected raw data</summary><table>
|
|
<thead>
|
|
<tr>
|
|
<th>device_id</th>
|
|
<th>fitbit_data</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>“activities-steps”:[{“dateTime”:”2020-10-07”,”value”:”1775”}],”activities-steps-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:5},{“time”:”00:01:00”,”value”:3},{“time”:”00:02:00”,”value”:0},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>“activities-steps”:[{“dateTime”:”2020-10-08”,”value”:”3201”}],”activities-steps-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:14},{“time”:”00:01:00”,”value”:11},{“time”:”00:02:00”,”value”:10},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>“activities-steps”:[{“dateTime”:”2020-10-09”,”value”:”998”}],”activities-steps-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:0},{“time”:”00:01:00”,”value”:0},{“time”:”00:02:00”,”value”:0},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</details>
|
|
</div>
|
|
</li>
|
|
</ul>
|
|
</details>
|
|
<details class="info"><summary>FITBIT_STEPS_INTRADAY</summary><p><strong>RAPIDS_COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>RAPIDS column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>TIMESTAMP</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>DEVICE_ID</td>
|
|
<td>device_id</td>
|
|
</tr>
|
|
<tr>
|
|
<td>LOCAL_DATE_TIME</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
<tr>
|
|
<td>STEPS</td>
|
|
<td>FLAG_TO_MUTATE</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>MUTATION</strong></p>
|
|
<ul>
|
|
<li>
|
|
<p><strong>COLUMN_MAPPINGS</strong></p>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Script column</th>
|
|
<th>Stream column</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>JSON_FITBIT_COLUMN</td>
|
|
<td>fitbit_data</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</li>
|
|
<li>
|
|
<p><strong>SCRIPTS</strong></p>
|
|
<div class="highlight"><pre><span></span><code>src/data/streams/mutations/fitbit/parse_steps_intraday_json.py
|
|
</code></pre></div>
|
|
<div class="admonition note">
|
|
<p class="admonition-title">Note<p><code>TIMESTAMP</code>, <code>LOCAL_DATE_TIME</code>, and <code>STEPS</code> are parsed from <code>JSON_FITBIT_COLUMN</code>. <code>JSON_FITBIT_COLUMN</code> is a string column containing the JSON objects returned by <a href="https://dev.fitbit.com/build/reference/web-api/activity/#get-activity-intraday-time-series">Fitbit’s API</a>. See an example of the raw data RAPIDS expects for this data stream:</p>
|
|
</p>
|
|
<details class="example"><summary>Example of the expected raw data</summary><table>
|
|
<thead>
|
|
<tr>
|
|
<th>device_id</th>
|
|
<th>fitbit_data</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>“activities-steps”:[{“dateTime”:”2020-10-07”,”value”:”1775”}],”activities-steps-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:5},{“time”:”00:01:00”,”value”:3},{“time”:”00:02:00”,”value”:0},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>“activities-steps”:[{“dateTime”:”2020-10-08”,”value”:”3201”}],”activities-steps-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:14},{“time”:”00:01:00”,”value”:11},{“time”:”00:02:00”,”value”:10},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
|
|
<td>“activities-steps”:[{“dateTime”:”2020-10-09”,”value”:”998”}],”activities-steps-intraday”:{“dataset”:[{“time”:”00:00:00”,”value”:0},{“time”:”00:01:00”,”value”:0},{“time”:”00:02:00”,”value”:0},…],”datasetInterval”:1,”datasetType”:”minute”}}</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</details>
|
|
</div>
|
|
</li>
|
|
</ul>
|
|
</details>
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