'Baby Daybook' application is a newborn tracker app to log activities such as breastfeeding, sleeping, pooping, etc. in order to monitor the development of the child.
The parents who use this app insert a lot of data into it over time. While the app supplies statistics and exportable PDF file (for paying users only) it doesn't grant access to the raw data.
The BabyDaybookExtractor solves this limitation by utilizing the backup mechanism of the app, and extract a pandas dataframe with all the data. This, allows the interested parent to research the data and find interesting patterns or learn from the statistics.
Make sure you have a python environment in version 3.7 or higher. To install python follow this guide.
In the application, under the Account window, click on the settings wheel icon (top right). Then, select Backup & Restore and press the sharing icon. Choose your preferable method of getting this file to the computer (e.g., emailing yourself).
Run the BabyDaybookExtractor on the file as follows:
python babydaybook_extrator.py -i /PATH/TO/DOWNLOADED/BabyDaybook_20211024.db -o /PATH/TO/output.csvThis will create a csv file with all the data, which can be opened by pandas or any other way.
This is an example for analysing the data, using pandas library. To run it the python environment
must have pandas library installed. To install it, run python -m pip install pandas.
Then, use a python interactive session:
import pandas as pd
df = pd.read_csv('/PATH/TO/output.csv')
df.activity.value_counts()
# Out[]:
# breastfeeding 404
# sleeping 147
# diaper_change 143
# bath 25
# temperature 11
df[df.activity == 'breastfeeding'][['left_duration_seconds', 'right_duration_seconds']].mean()
# Out[]: left_duration_seconds 431.508317
# right_duration_seconds 573.674952
df[df.activity == 'diaper_change'][['poo', 'pee']].sum()
# Out[]:
# poo 130
# pee 139