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< a href = "https://github.com/carissalow/rapids/edit/master/docs/datastreams/fitbitjson-csv.md" title = "Edit this page" class = "md-content__button md-icon" >
< 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 >
< / a >
< 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 >
< 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 >
< 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
< / 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 >
<!-- Add custom comment system integration here -->
<!-- Utterances integration -->
< h2 id = "__comments" > Comments< / h2 >
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