From f9b9da090ccb98ab0e1b618efda5a2db0d5f3890 Mon Sep 17 00:00:00 2001 From: Jason Meno Date: Fri, 4 Oct 2019 22:32:55 -0400 Subject: [PATCH] Initial Commit --- README.md | 47 +++++++++++++++- apple_health_xml_convert.py | 103 ++++++++++++++++++++++++++++++++++++ export_data_button.jpg | Bin 0 -> 27433 bytes health_home.PNG | Bin 0 -> 242577 bytes 4 files changed, 149 insertions(+), 1 deletion(-) create mode 100644 apple_health_xml_convert.py create mode 100644 export_data_button.jpg create mode 100644 health_home.PNG diff --git a/README.md b/README.md index ba9fd19..383600d 100644 --- a/README.md +++ b/README.md @@ -1 +1,46 @@ -Simple-Apple-Health-XML-to-CSV +# Simple Apple Health XML to CSV + +A simple script to convert Apple Health's export.xml file to an easy to use csv. + + + +## How to Run + +1. ####Verify you have pandas installed on your machine or environment + +`python -c "import pandas"` should return blank from the command line + +If you get a _**ModuleNotFoundError: No module named 'pandas'**_ error, install pandas: + +`pip install pandas` + + + +2. ####Export your Apple Health Data + + Go to your health home screen and click on the profile icon + + + +On the next page, click the "Export Health Data" button + + + +Your data will be prepared, and then you can transfer the export.zip file to your machine. + +3. Unzip the file, which should contain: + + * apple_health_export + * export.xml + * export_cda.xml + +4. Place the **apple_health_xml_convert.py** into the folder alongside the files + +5. Run the script with `python apple_health_xml_convert.py` + + + +The export will be written with the format: + +* **apple_health_export_YYYY-MM-DD.csv** + diff --git a/apple_health_xml_convert.py b/apple_health_xml_convert.py new file mode 100644 index 0000000..b1ab96e --- /dev/null +++ b/apple_health_xml_convert.py @@ -0,0 +1,103 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Simple Apple Health XML to CSV +============================== +:File: convert.py +:Description: Convert Apple Health "export.xml" file into a csv +:Version: 0.0.1 +:Created: 2019-10-04 +:Authors: Jason Meno (jam) +:Dependencies: An export.xml file from Apple Health +:License: BSD-2-Clause +""" + +# %% Imports +import pandas as pd +import xml.etree.ElementTree as ET +import datetime as dt + + +# %% Function Definitions +def pre_process(): + """Pre-processes the XML file by replacing specific bits that would + normally result in a ParseError + """ + + print("Pre-processing...", end="") + with open("export.xml") as f: + newText = f.read().replace("\x0b", "") + + # with open("apple_health_export_2/new_export.xml", "w") as f: + with open("processed_export.xml", "w") as f: + f.write(newText) + + print("done!") + + return + + +def convert_xml(): + """Loops through the element tree, retrieving all objects, and then + combining them together into a dataframe + """ + + print("Converting XML File...", end="") + etree = ET.parse("processed_export.xml") + + attribute_list = [] + + for child in etree.getroot(): + attribute_list.append(child.attrib) + + health_df = pd.DataFrame(attribute_list) + + # Every health data type and some columns have a long identifer + # Removing these for readability + health_df.type = health_df.type.str.replace('HKQuantityTypeIdentifier', "") + health_df.type = health_df.type.str.replace('HKCategoryTypeIdentifier', "") + health_df.columns = \ + health_df.columns.str.replace("HKCharacteristicTypeIdentifier", "") + + # Reorder some of the columns for easier visual data review + original_cols = list(health_df) + shifted_cols = ['type', + 'sourceName', + 'value', + 'unit', + 'startDate', + 'endDate', + 'creationDate'] + + remaining_cols = list(set(original_cols) - set(shifted_cols)) + reordered_cols = shifted_cols + remaining_cols + health_df = health_df.reindex(labels=reordered_cols, axis='columns') + + # Sort by newest data first + health_df.sort_values(by='creationDate', ascending=False, inplace=True) + + print("done!") + + return health_df + + +def save_to_csv(health_df): + print("Saving CSV file...", end="") + today = dt.datetime.now().strftime('%Y-%m-%d') + health_df.to_csv("apple_health_export_" + today + ".csv", index=False) + print("done!") + + return + + +def main(): + pre_process() + health_df = convert_xml() + save_to_csv(health_df) + + return + + +# %% +if __name__ == '__main__': + main() diff --git a/export_data_button.jpg b/export_data_button.jpg new file mode 100644 index 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