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<article class="md-content__inner md-typeset">
<a href="https://github.com/carissalow/rapids/edit/master/docs/datastreams/fitbitjson-csv.md" title="Edit this page" class="md-content__button md-icon">
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<h1 id="fitbitjson_csv"><code>fitbitjson_csv</code><a class="headerlink" href="#fitbitjson_csv" title="Permanent link">&para;</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>
<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>&quot;timestamp&quot;,&quot;device_id&quot;,&quot;label&quot;,&quot;fitbit_id&quot;,&quot;fitbit_data_type&quot;,&quot;fitbit_data&quot;
1587614400000,&quot;a748ee1a-1d0b-4ae9-9074-279a2b6ba524&quot;,&quot;5S&quot;,&quot;5ZKN9B&quot;,&quot;steps&quot;,&quot;{\&quot;activities-steps\&quot;:[{\&quot;dateTime\&quot;:\&quot;2020-04-23\&quot;,\&quot;value\&quot;:\&quot;7881\&quot;}]&quot;
</code></pre></div>
</details>
</div>
<h2 id="container">Container<a class="headerlink" href="#container" title="Permanent link">&para;</a></h2>
<p>The container should be a CSV file per Fitbit sensor, each containing all participants&rsquo; 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">&para;</a></h2>
<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>
<td>HEARTRATE_DAILY_CALORIESFATBURN</td>
<td>FLAG_TO_MUTATE</td>
</tr>
<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
- src/data/streams/mutations/fitbit/add_zero_timestamp.py
</code></pre></div>
<div class="admonition note">
<p class="admonition-title">Note</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&rsquo;s API. See an example of the raw data RAPIDS expects for this data stream:</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>{&ldquo;activities-heart&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-07&rdquo;,&rdquo;value&rdquo;:{&ldquo;customHeartRateZones&rdquo;:[],&rdquo;heartRateZones&rdquo;:[{&ldquo;caloriesOut&rdquo;:1200.6102,&rdquo;max&rdquo;:88,&rdquo;min&rdquo;:31,&rdquo;minutes&rdquo;:1058,&rdquo;name&rdquo;:&rdquo;Out of Range&rdquo;},{&ldquo;caloriesOut&rdquo;:760.3020,&rdquo;max&rdquo;:120,&rdquo;min&rdquo;:86,&rdquo;minutes&rdquo;:366,&rdquo;name&rdquo;:&rdquo;Fat Burn&rdquo;},{&ldquo;caloriesOut&rdquo;:15.2048,&rdquo;max&rdquo;:146,&rdquo;min&rdquo;:120,&rdquo;minutes&rdquo;:2,&rdquo;name&rdquo;:&rdquo;Cardio&rdquo;},{&ldquo;caloriesOut&rdquo;:0,&rdquo;max&rdquo;:221,&rdquo;min&rdquo;:148,&rdquo;minutes&rdquo;:0,&rdquo;name&rdquo;:&rdquo;Peak&rdquo;}],&rdquo;restingHeartRate&rdquo;:72}}],&rdquo;activities-heart-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:68},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:67},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:67},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;activities-heart&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-08&rdquo;,&rdquo;value&rdquo;:{&ldquo;customHeartRateZones&rdquo;:[],&rdquo;heartRateZones&rdquo;:[{&ldquo;caloriesOut&rdquo;:1100.1120,&rdquo;max&rdquo;:89,&rdquo;min&rdquo;:30,&rdquo;minutes&rdquo;:921,&rdquo;name&rdquo;:&rdquo;Out of Range&rdquo;},{&ldquo;caloriesOut&rdquo;:660.0012,&rdquo;max&rdquo;:118,&rdquo;min&rdquo;:82,&rdquo;minutes&rdquo;:361,&rdquo;name&rdquo;:&rdquo;Fat Burn&rdquo;},{&ldquo;caloriesOut&rdquo;:23.7088,&rdquo;max&rdquo;:142,&rdquo;min&rdquo;:108,&rdquo;minutes&rdquo;:3,&rdquo;name&rdquo;:&rdquo;Cardio&rdquo;},{&ldquo;caloriesOut&rdquo;:0,&rdquo;max&rdquo;:221,&rdquo;min&rdquo;:148,&rdquo;minutes&rdquo;:0,&rdquo;name&rdquo;:&rdquo;Peak&rdquo;}],&rdquo;restingHeartRate&rdquo;:70}}],&rdquo;activities-heart-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:77},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:75},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:73},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;activities-heart&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-09&rdquo;,&rdquo;value&rdquo;:{&ldquo;customHeartRateZones&rdquo;:[],&rdquo;heartRateZones&rdquo;:[{&ldquo;caloriesOut&rdquo;:750.3615,&rdquo;max&rdquo;:77,&rdquo;min&rdquo;:30,&rdquo;minutes&rdquo;:851,&rdquo;name&rdquo;:&rdquo;Out of Range&rdquo;},{&ldquo;caloriesOut&rdquo;:734.1516,&rdquo;max&rdquo;:107,&rdquo;min&rdquo;:77,&rdquo;minutes&rdquo;:550,&rdquo;name&rdquo;:&rdquo;Fat Burn&rdquo;},{&ldquo;caloriesOut&rdquo;:131.8579,&rdquo;max&rdquo;:130,&rdquo;min&rdquo;:107,&rdquo;minutes&rdquo;:29,&rdquo;name&rdquo;:&rdquo;Cardio&rdquo;},{&ldquo;caloriesOut&rdquo;:0,&rdquo;max&rdquo;:220,&rdquo;min&rdquo;:130,&rdquo;minutes&rdquo;:0,&rdquo;name&rdquo;:&rdquo;Peak&rdquo;}],&rdquo;restingHeartRate&rdquo;:69}}],&rdquo;activities-heart-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:90},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:89},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:88},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</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
- src/data/streams/mutations/fitbit/add_zero_timestamp.py
</code></pre></div>
<div class="admonition note">
<p class="admonition-title">Note</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&rsquo;s API. See an example of the raw data RAPIDS expects for this data stream:</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>{&ldquo;activities-heart&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-07&rdquo;,&rdquo;value&rdquo;:{&ldquo;customHeartRateZones&rdquo;:[],&rdquo;heartRateZones&rdquo;:[{&ldquo;caloriesOut&rdquo;:1200.6102,&rdquo;max&rdquo;:88,&rdquo;min&rdquo;:31,&rdquo;minutes&rdquo;:1058,&rdquo;name&rdquo;:&rdquo;Out of Range&rdquo;},{&ldquo;caloriesOut&rdquo;:760.3020,&rdquo;max&rdquo;:120,&rdquo;min&rdquo;:86,&rdquo;minutes&rdquo;:366,&rdquo;name&rdquo;:&rdquo;Fat Burn&rdquo;},{&ldquo;caloriesOut&rdquo;:15.2048,&rdquo;max&rdquo;:146,&rdquo;min&rdquo;:120,&rdquo;minutes&rdquo;:2,&rdquo;name&rdquo;:&rdquo;Cardio&rdquo;},{&ldquo;caloriesOut&rdquo;:0,&rdquo;max&rdquo;:221,&rdquo;min&rdquo;:148,&rdquo;minutes&rdquo;:0,&rdquo;name&rdquo;:&rdquo;Peak&rdquo;}],&rdquo;restingHeartRate&rdquo;:72}}],&rdquo;activities-heart-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:68},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:67},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:67},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;activities-heart&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-08&rdquo;,&rdquo;value&rdquo;:{&ldquo;customHeartRateZones&rdquo;:[],&rdquo;heartRateZones&rdquo;:[{&ldquo;caloriesOut&rdquo;:1100.1120,&rdquo;max&rdquo;:89,&rdquo;min&rdquo;:30,&rdquo;minutes&rdquo;:921,&rdquo;name&rdquo;:&rdquo;Out of Range&rdquo;},{&ldquo;caloriesOut&rdquo;:660.0012,&rdquo;max&rdquo;:118,&rdquo;min&rdquo;:82,&rdquo;minutes&rdquo;:361,&rdquo;name&rdquo;:&rdquo;Fat Burn&rdquo;},{&ldquo;caloriesOut&rdquo;:23.7088,&rdquo;max&rdquo;:142,&rdquo;min&rdquo;:108,&rdquo;minutes&rdquo;:3,&rdquo;name&rdquo;:&rdquo;Cardio&rdquo;},{&ldquo;caloriesOut&rdquo;:0,&rdquo;max&rdquo;:221,&rdquo;min&rdquo;:148,&rdquo;minutes&rdquo;:0,&rdquo;name&rdquo;:&rdquo;Peak&rdquo;}],&rdquo;restingHeartRate&rdquo;:70}}],&rdquo;activities-heart-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:77},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:75},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:73},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;activities-heart&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-09&rdquo;,&rdquo;value&rdquo;:{&ldquo;customHeartRateZones&rdquo;:[],&rdquo;heartRateZones&rdquo;:[{&ldquo;caloriesOut&rdquo;:750.3615,&rdquo;max&rdquo;:77,&rdquo;min&rdquo;:30,&rdquo;minutes&rdquo;:851,&rdquo;name&rdquo;:&rdquo;Out of Range&rdquo;},{&ldquo;caloriesOut&rdquo;:734.1516,&rdquo;max&rdquo;:107,&rdquo;min&rdquo;:77,&rdquo;minutes&rdquo;:550,&rdquo;name&rdquo;:&rdquo;Fat Burn&rdquo;},{&ldquo;caloriesOut&rdquo;:131.8579,&rdquo;max&rdquo;:130,&rdquo;min&rdquo;:107,&rdquo;minutes&rdquo;:29,&rdquo;name&rdquo;:&rdquo;Cardio&rdquo;},{&ldquo;caloriesOut&rdquo;:0,&rdquo;max&rdquo;:220,&rdquo;min&rdquo;:130,&rdquo;minutes&rdquo;:0,&rdquo;name&rdquo;:&rdquo;Peak&rdquo;}],&rdquo;restingHeartRate&rdquo;:69}}],&rdquo;activities-heart-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:90},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:89},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:88},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</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
- src/data/streams/mutations/fitbit/add_local_date_time.py
- src/data/streams/mutations/fitbit/add_zero_timestamp.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&rsquo;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&rsquo;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>{&ldquo;sleep&rdquo;:[{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-10&rdquo;,&rdquo;duration&rdquo;:3600000,&rdquo;efficiency&rdquo;:92,&rdquo;endTime&rdquo;:&rdquo;2020-10-10T16:37:00.000&rdquo;,&rdquo;infoCode&rdquo;:2,&rdquo;isMainSleep&rdquo;:false,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T15:36:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;restless&rdquo;,&rdquo;seconds&rdquo;:60},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T15:37:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;asleep&rdquo;,&rdquo;seconds&rdquo;:660},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T15:48:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;restless&rdquo;,&rdquo;seconds&rdquo;:60},&hellip;], &ldquo;summary&rdquo;:{&ldquo;asleep&rdquo;:{&ldquo;count&rdquo;:0,&rdquo;minutes&rdquo;:56},&rdquo;awake&rdquo;:{&ldquo;count&rdquo;:0,&rdquo;minutes&rdquo;:0},&rdquo;restless&rdquo;:{&ldquo;count&rdquo;:3,&rdquo;minutes&rdquo;:4}}},&rdquo;logId&rdquo;:26315914306,&rdquo;minutesAfterWakeup&rdquo;:0,&rdquo;minutesAsleep&rdquo;:55,&rdquo;minutesAwake&rdquo;:5,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-10T15:36:30.000&rdquo;,&rdquo;timeInBed&rdquo;:60,&rdquo;type&rdquo;:&rdquo;classic&rdquo;},{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-10&rdquo;,&rdquo;duration&rdquo;:22980000,&rdquo;efficiency&rdquo;:88,&rdquo;endTime&rdquo;:&rdquo;2020-10-10T08:10:00.000&rdquo;,&rdquo;infoCode&rdquo;:0,&rdquo;isMainSleep&rdquo;:true,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T01:46:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:420},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T01:53:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;deep&rdquo;,&rdquo;seconds&rdquo;:1230},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T02:14:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:360},&hellip;], &ldquo;summary&rdquo;:{&ldquo;deep&rdquo;:{&ldquo;count&rdquo;:3,&rdquo;minutes&rdquo;:92,&rdquo;thirtyDayAvgMinutes&rdquo;:0},&rdquo;light&rdquo;:{&ldquo;count&rdquo;:29,&rdquo;minutes&rdquo;:193,&rdquo;thirtyDayAvgMinutes&rdquo;:0},&rdquo;rem&rdquo;:{&ldquo;count&rdquo;:4,&rdquo;minutes&rdquo;:33,&rdquo;thirtyDayAvgMinutes&rdquo;:0},&rdquo;wake&rdquo;:{&ldquo;count&rdquo;:28,&rdquo;minutes&rdquo;:65,&rdquo;thirtyDayAvgMinutes&rdquo;:0}}},&rdquo;logId&rdquo;:26311786557,&rdquo;minutesAfterWakeup&rdquo;:0,&rdquo;minutesAsleep&rdquo;:318,&rdquo;minutesAwake&rdquo;:65,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-10T01:46:30.000&rdquo;,&rdquo;timeInBed&rdquo;:383,&rdquo;type&rdquo;:&rdquo;stages&rdquo;}],&rdquo;summary&rdquo;:{&ldquo;stages&rdquo;:{&ldquo;deep&rdquo;:92,&rdquo;light&rdquo;:193,&rdquo;rem&rdquo;:33,&rdquo;wake&rdquo;:65},&rdquo;totalMinutesAsleep&rdquo;:373,&rdquo;totalSleepRecords&rdquo;:2,&rdquo;totalTimeInBed&rdquo;:443}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;sleep&rdquo;:[{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-11&rdquo;,&rdquo;duration&rdquo;:41640000,&rdquo;efficiency&rdquo;:89,&rdquo;endTime&rdquo;:&rdquo;2020-10-11T11:47:00.000&rdquo;,&rdquo;infoCode&rdquo;:0,&rdquo;isMainSleep&rdquo;:true,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-11T00:12:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;wake&rdquo;,&rdquo;seconds&rdquo;:450},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-11T00:20:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:870},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-11T00:34:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;wake&rdquo;,&rdquo;seconds&rdquo;:780},&hellip;], &ldquo;summary&rdquo;:{&ldquo;deep&rdquo;:{&ldquo;count&rdquo;:4,&rdquo;minutes&rdquo;:52,&rdquo;thirtyDayAvgMinutes&rdquo;:62},&rdquo;light&rdquo;:{&ldquo;count&rdquo;:32,&rdquo;minutes&rdquo;:442,&rdquo;thirtyDayAvgMinutes&rdquo;:364},&rdquo;rem&rdquo;:{&ldquo;count&rdquo;:6,&rdquo;minutes&rdquo;:68,&rdquo;thirtyDayAvgMinutes&rdquo;:58},&rdquo;wake&rdquo;:{&ldquo;count&rdquo;:29,&rdquo;minutes&rdquo;:132,&rdquo;thirtyDayAvgMinutes&rdquo;:94}}},&rdquo;logId&rdquo;:26589710670,&rdquo;minutesAfterWakeup&rdquo;:1,&rdquo;minutesAsleep&rdquo;:562,&rdquo;minutesAwake&rdquo;:132,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-11T00:12:30.000&rdquo;,&rdquo;timeInBed&rdquo;:694,&rdquo;type&rdquo;:&rdquo;stages&rdquo;}],&rdquo;summary&rdquo;:{&ldquo;stages&rdquo;:{&ldquo;deep&rdquo;:52,&rdquo;light&rdquo;:442,&rdquo;rem&rdquo;:68,&rdquo;wake&rdquo;:132},&rdquo;totalMinutesAsleep&rdquo;:562,&rdquo;totalSleepRecords&rdquo;:1,&rdquo;totalTimeInBed&rdquo;:694}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;sleep&rdquo;:[{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-12&rdquo;,&rdquo;duration&rdquo;:28980000,&rdquo;efficiency&rdquo;:93,&rdquo;endTime&rdquo;:&rdquo;2020-10-12T09:34:30.000&rdquo;,&rdquo;infoCode&rdquo;:0,&rdquo;isMainSleep&rdquo;:true,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-12T01:31:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;wake&rdquo;,&rdquo;seconds&rdquo;:600},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-12T01:41:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:60},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-12T01:42:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;deep&rdquo;,&rdquo;seconds&rdquo;:2340},&hellip;], &ldquo;summary&rdquo;:{&ldquo;deep&rdquo;:{&ldquo;count&rdquo;:4,&rdquo;minutes&rdquo;:63,&rdquo;thirtyDayAvgMinutes&rdquo;:59},&rdquo;light&rdquo;:{&ldquo;count&rdquo;:27,&rdquo;minutes&rdquo;:257,&rdquo;thirtyDayAvgMinutes&rdquo;:364},&rdquo;rem&rdquo;:{&ldquo;count&rdquo;:5,&rdquo;minutes&rdquo;:94,&rdquo;thirtyDayAvgMinutes&rdquo;:58},&rdquo;wake&rdquo;:{&ldquo;count&rdquo;:24,&rdquo;minutes&rdquo;:69,&rdquo;thirtyDayAvgMinutes&rdquo;:95}}},&rdquo;logId&rdquo;:26589710673,&rdquo;minutesAfterWakeup&rdquo;:0,&rdquo;minutesAsleep&rdquo;:415,&rdquo;minutesAwake&rdquo;:68,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-12T01:31:00.000&rdquo;,&rdquo;timeInBed&rdquo;:483,&rdquo;type&rdquo;:&rdquo;stages&rdquo;}],&rdquo;summary&rdquo;:{&ldquo;stages&rdquo;:{&ldquo;deep&rdquo;:63,&rdquo;light&rdquo;:257,&rdquo;rem&rdquo;:94,&rdquo;wake&rdquo;:69},&rdquo;totalMinutesAsleep&rdquo;:415,&rdquo;totalSleepRecords&rdquo;:1,&rdquo;totalTimeInBed&rdquo;: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
- src/data/streams/mutations/fitbit/add_zero_timestamp.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&rsquo;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>{&ldquo;sleep&rdquo;:[{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-10&rdquo;,&rdquo;duration&rdquo;:3600000,&rdquo;efficiency&rdquo;:92,&rdquo;endTime&rdquo;:&rdquo;2020-10-10T16:37:00.000&rdquo;,&rdquo;infoCode&rdquo;:2,&rdquo;isMainSleep&rdquo;:false,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T15:36:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;restless&rdquo;,&rdquo;seconds&rdquo;:60},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T15:37:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;asleep&rdquo;,&rdquo;seconds&rdquo;:660},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T15:48:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;restless&rdquo;,&rdquo;seconds&rdquo;:60},&hellip;], &ldquo;summary&rdquo;:{&ldquo;asleep&rdquo;:{&ldquo;count&rdquo;:0,&rdquo;minutes&rdquo;:56},&rdquo;awake&rdquo;:{&ldquo;count&rdquo;:0,&rdquo;minutes&rdquo;:0},&rdquo;restless&rdquo;:{&ldquo;count&rdquo;:3,&rdquo;minutes&rdquo;:4}}},&rdquo;logId&rdquo;:26315914306,&rdquo;minutesAfterWakeup&rdquo;:0,&rdquo;minutesAsleep&rdquo;:55,&rdquo;minutesAwake&rdquo;:5,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-10T15:36:30.000&rdquo;,&rdquo;timeInBed&rdquo;:60,&rdquo;type&rdquo;:&rdquo;classic&rdquo;},{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-10&rdquo;,&rdquo;duration&rdquo;:22980000,&rdquo;efficiency&rdquo;:88,&rdquo;endTime&rdquo;:&rdquo;2020-10-10T08:10:00.000&rdquo;,&rdquo;infoCode&rdquo;:0,&rdquo;isMainSleep&rdquo;:true,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T01:46:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:420},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T01:53:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;deep&rdquo;,&rdquo;seconds&rdquo;:1230},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-10T02:14:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:360},&hellip;], &ldquo;summary&rdquo;:{&ldquo;deep&rdquo;:{&ldquo;count&rdquo;:3,&rdquo;minutes&rdquo;:92,&rdquo;thirtyDayAvgMinutes&rdquo;:0},&rdquo;light&rdquo;:{&ldquo;count&rdquo;:29,&rdquo;minutes&rdquo;:193,&rdquo;thirtyDayAvgMinutes&rdquo;:0},&rdquo;rem&rdquo;:{&ldquo;count&rdquo;:4,&rdquo;minutes&rdquo;:33,&rdquo;thirtyDayAvgMinutes&rdquo;:0},&rdquo;wake&rdquo;:{&ldquo;count&rdquo;:28,&rdquo;minutes&rdquo;:65,&rdquo;thirtyDayAvgMinutes&rdquo;:0}}},&rdquo;logId&rdquo;:26311786557,&rdquo;minutesAfterWakeup&rdquo;:0,&rdquo;minutesAsleep&rdquo;:318,&rdquo;minutesAwake&rdquo;:65,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-10T01:46:30.000&rdquo;,&rdquo;timeInBed&rdquo;:383,&rdquo;type&rdquo;:&rdquo;stages&rdquo;}],&rdquo;summary&rdquo;:{&ldquo;stages&rdquo;:{&ldquo;deep&rdquo;:92,&rdquo;light&rdquo;:193,&rdquo;rem&rdquo;:33,&rdquo;wake&rdquo;:65},&rdquo;totalMinutesAsleep&rdquo;:373,&rdquo;totalSleepRecords&rdquo;:2,&rdquo;totalTimeInBed&rdquo;:443}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;sleep&rdquo;:[{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-11&rdquo;,&rdquo;duration&rdquo;:41640000,&rdquo;efficiency&rdquo;:89,&rdquo;endTime&rdquo;:&rdquo;2020-10-11T11:47:00.000&rdquo;,&rdquo;infoCode&rdquo;:0,&rdquo;isMainSleep&rdquo;:true,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-11T00:12:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;wake&rdquo;,&rdquo;seconds&rdquo;:450},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-11T00:20:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:870},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-11T00:34:30.000&rdquo;,&rdquo;level&rdquo;:&rdquo;wake&rdquo;,&rdquo;seconds&rdquo;:780},&hellip;], &ldquo;summary&rdquo;:{&ldquo;deep&rdquo;:{&ldquo;count&rdquo;:4,&rdquo;minutes&rdquo;:52,&rdquo;thirtyDayAvgMinutes&rdquo;:62},&rdquo;light&rdquo;:{&ldquo;count&rdquo;:32,&rdquo;minutes&rdquo;:442,&rdquo;thirtyDayAvgMinutes&rdquo;:364},&rdquo;rem&rdquo;:{&ldquo;count&rdquo;:6,&rdquo;minutes&rdquo;:68,&rdquo;thirtyDayAvgMinutes&rdquo;:58},&rdquo;wake&rdquo;:{&ldquo;count&rdquo;:29,&rdquo;minutes&rdquo;:132,&rdquo;thirtyDayAvgMinutes&rdquo;:94}}},&rdquo;logId&rdquo;:26589710670,&rdquo;minutesAfterWakeup&rdquo;:1,&rdquo;minutesAsleep&rdquo;:562,&rdquo;minutesAwake&rdquo;:132,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-11T00:12:30.000&rdquo;,&rdquo;timeInBed&rdquo;:694,&rdquo;type&rdquo;:&rdquo;stages&rdquo;}],&rdquo;summary&rdquo;:{&ldquo;stages&rdquo;:{&ldquo;deep&rdquo;:52,&rdquo;light&rdquo;:442,&rdquo;rem&rdquo;:68,&rdquo;wake&rdquo;:132},&rdquo;totalMinutesAsleep&rdquo;:562,&rdquo;totalSleepRecords&rdquo;:1,&rdquo;totalTimeInBed&rdquo;:694}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>{&ldquo;sleep&rdquo;:[{&ldquo;dateOfSleep&rdquo;:&rdquo;2020-10-12&rdquo;,&rdquo;duration&rdquo;:28980000,&rdquo;efficiency&rdquo;:93,&rdquo;endTime&rdquo;:&rdquo;2020-10-12T09:34:30.000&rdquo;,&rdquo;infoCode&rdquo;:0,&rdquo;isMainSleep&rdquo;:true,&rdquo;levels&rdquo;:{&ldquo;data&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-12T01:31:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;wake&rdquo;,&rdquo;seconds&rdquo;:600},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-12T01:41:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;light&rdquo;,&rdquo;seconds&rdquo;:60},{&ldquo;dateTime&rdquo;:&rdquo;2020-10-12T01:42:00.000&rdquo;,&rdquo;level&rdquo;:&rdquo;deep&rdquo;,&rdquo;seconds&rdquo;:2340},&hellip;], &ldquo;summary&rdquo;:{&ldquo;deep&rdquo;:{&ldquo;count&rdquo;:4,&rdquo;minutes&rdquo;:63,&rdquo;thirtyDayAvgMinutes&rdquo;:59},&rdquo;light&rdquo;:{&ldquo;count&rdquo;:27,&rdquo;minutes&rdquo;:257,&rdquo;thirtyDayAvgMinutes&rdquo;:364},&rdquo;rem&rdquo;:{&ldquo;count&rdquo;:5,&rdquo;minutes&rdquo;:94,&rdquo;thirtyDayAvgMinutes&rdquo;:58},&rdquo;wake&rdquo;:{&ldquo;count&rdquo;:24,&rdquo;minutes&rdquo;:69,&rdquo;thirtyDayAvgMinutes&rdquo;:95}}},&rdquo;logId&rdquo;:26589710673,&rdquo;minutesAfterWakeup&rdquo;:0,&rdquo;minutesAsleep&rdquo;:415,&rdquo;minutesAwake&rdquo;:68,&rdquo;minutesToFallAsleep&rdquo;:0,&rdquo;startTime&rdquo;:&rdquo;2020-10-12T01:31:00.000&rdquo;,&rdquo;timeInBed&rdquo;:483,&rdquo;type&rdquo;:&rdquo;stages&rdquo;}],&rdquo;summary&rdquo;:{&ldquo;stages&rdquo;:{&ldquo;deep&rdquo;:63,&rdquo;light&rdquo;:257,&rdquo;rem&rdquo;:94,&rdquo;wake&rdquo;:69},&rdquo;totalMinutesAsleep&rdquo;:415,&rdquo;totalSleepRecords&rdquo;:1,&rdquo;totalTimeInBed&rdquo;: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
- src/data/streams/mutations/fitbit/add_zero_timestamp.py
</code></pre></div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<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&rsquo;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>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-07&rdquo;,&rdquo;value&rdquo;:&rdquo;1775&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:5},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:3},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:0},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-08&rdquo;,&rdquo;value&rdquo;:&rdquo;3201&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:14},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:11},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:10},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-09&rdquo;,&rdquo;value&rdquo;:&rdquo;998&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:0},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:0},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:0},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</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
- src/data/streams/mutations/fitbit/add_zero_timestamp.py
</code></pre></div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<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&rsquo;s API</a>. 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>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-07&rdquo;,&rdquo;value&rdquo;:&rdquo;1775&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:5},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:3},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:0},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-08&rdquo;,&rdquo;value&rdquo;:&rdquo;3201&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:14},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:11},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:10},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-09&rdquo;,&rdquo;value&rdquo;:&rdquo;998&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:0},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:0},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:0},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
</tbody>
</table>
</details>
</div>
</li>
</ul>
</details>
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