36 lines
1.5 KiB
Python
36 lines
1.5 KiB
Python
import json
|
|
import pandas as pd
|
|
from datetime import datetime
|
|
|
|
STEPS_INTRADAY_COLUMNS = ("device_id",
|
|
"steps",
|
|
"local_date_time", "local_date", "local_month", "local_day",
|
|
"local_day_of_week", "local_time", "local_hour", "local_minute",
|
|
"local_day_segment")
|
|
|
|
|
|
def parseStepsData(steps_data, HOUR2EPOCH):
|
|
if steps_data.empty:
|
|
return pd.DataFrame(), pd.DataFrame(columns=STEPS_COLUMNS)
|
|
device_id = steps_data["device_id"].iloc[0]
|
|
records_intraday = []
|
|
# Parse JSON into individual records
|
|
for record in steps_data.fitbit_data:
|
|
record = json.loads(record) # Parse text into JSON
|
|
curr_date = datetime.strptime(
|
|
record["activities-steps"][0]["dateTime"], "%Y-%m-%d")
|
|
dataset = record["activities-steps-intraday"]["dataset"]
|
|
for data in dataset:
|
|
d_time = datetime.strptime(data["time"], '%H:%M:%S').time()
|
|
d_datetime = datetime.combine(curr_date, d_time)
|
|
|
|
row_intraday = (device_id,
|
|
data["value"],
|
|
d_datetime, d_datetime.date(), d_datetime.month, d_datetime.day,
|
|
d_datetime.weekday(), d_datetime.time(), d_datetime.hour, d_datetime.minute,
|
|
HOUR2EPOCH[d_datetime.hour])
|
|
|
|
records_intraday.append(row_intraday)
|
|
|
|
return pd.DataFrame(), pd.DataFrame(data=records_intraday, columns=STEPS_INTRADAY_COLUMNS)
|