Git Product home page Git Product logo

hitrava's Introduction

Hitrava

nposl3.0 GitHub release (latest by date) GitHub Release Date Buy me a coffee


Introduction

Hitrava converts health activities registered using a Honor or Huawei activity tracker or smart watch in the Huawei Health app into a file format that can be directly uploaded to Strava.


Hitrava Web

Hitrava

An alpha release of Hitrava Web is now available. If you prefer on-line conversion in a web app with GUI over a script, learn more on https://cthru.hopto.org. (Note: my website is not up all the time, plan your visit between 08:15 and 22:45 CET)


Table of Contents

Features

  • Recognizes and converts the following activity types from Huawei Health to Strava:
    • Running: both outdoor and indoor running (treadmill run)
    • Cycling: both outdoor and indoor cycling
    • Swimming: both pool swimming and open water swimming
    • Walking
    • Hiking
    • Cross-country run
    • Cross Trainer (Elliptical)
    • Crossfit
  • Conversion contains generic activity information such as GPS track, distance, duration, calorie consumption (as available during recording of the activity).
  • When available and depending on the activity type, conversion includes health data from your Huawei or Honor smart watch / fitness band:
    • Heart rate
    • Cadence
  • Conversion is done using the centralized data from Huawei Health. In principle, any recent Huawei or Honor smart watch or fitness band should be supported, if you see the data in Huawei Health, e.g.
    • Huawei smart watches: e.g. Huawei Watch GT2
    • Huawei fitness bands: e.g. Huawei Band 4, Huawei Band 4 Pro
    • Honor smart watches: e.g. Honor MagicWatch 2
    • Honor fitness bands: e.g. Honor Band 4, Honor Band 5

Installation

Requirements

To use Hitrava, you need:

  • Python 3.7.x or higher.
    • Python 3.7.6 is the lowest recommended version (developed and tested on this version).
    • Python 3.5.1 is the lowest minimum required version (compatibility tested on this version).
  • A Huawei account to request your health data.
  • 7-Zip stand-alone version to convert directly from an encrypted Huawei Health ZIP file. Currently, this method is only supported on Windows operating systems.

Installation Procedure

Step 1 - Install Python

Only required if you don't have a (suitable) python installation on your system.

  • Download the latest Python version for your operating system from the Python website.
  • Run the Python installer (Windows) or follow the instructions for your operating system.

Step 2 - Download and Extract Hitrava

  • Go to the Releases page to download the source code of the latest Hitrava release.
  • On the Releases page, in the Assets section, click on the Source code (zip) link to download the sources.
  • Save the ZIP file with the sources on your system.
  • Extract all contents of the ZIP file with the sources to a location of your choice on your system.

Step 3 - Download and Extract Stand-alone 7-Zip

NOTE: This step is required to convert encrypted Huawei Health ZIP files.

  • Download the latest 7-zip stand-alone console version from the 7-Zip website. The stand-alone version can be identified by the description below:

7-Zip Extra: standalone console version, 7z DLL, Plugin for Far Manager

  • Extract the file 7za.exe from the downloaded archive and place it in your Hitrava installation folder from step 2 above. Your Hitrava installation folder should now contain at least the following files.

Hitrava.py
7za.exe
Run_Hitrava_Decrypt.cmd

How to convert your health activities and import them in Strava

All users can use conversion from a ZIP file or a JSON file.
For users with rooted phones, legacy file and tar options are still available.

Windows Users - Encrypted ZIP conversion procedure

NOTE: As of late October 2020, the latest version of the Huawei Health app obliges you to provide a password with which your data in the ZIP file will be encrypted. If you need to convert from an older non-encrypted ZIP file, please refer to the corresponding example.

Activities can be mass converted using the data in a ZIP file that you can request in the Huawei Health app.

The procedure below assumes that you installed Hitrava and are logged in with your Huawei account in the Huawei Health app. If you don't have a Huawei account, you can create one in the app.

Step 1 - Request your data in the Huawei Health app

  • On your phone, open the Huawei Health app.
  • Tap the 'Me' button in the lower right-hand corner of the main screen.
  • Now tap on your account name on top of the screen.
  • Tap on 'Privacy Center'.
  • Tap 'Request Your Data'.
  • Select 'Health' from the list and confirm your selection.
  • You will be obligated to enter a password to encrypt the requested data with. You will need this password later in step 3 below.
  • Follow any further in-app instructions.
  • Wait for the mail from Huawei to arrive with a link to download the data (ZIP file).

Step 2 - Download your requested data

  • In the mail from Huawei, click on the link to download your data and follow the instructions.
  • Put (a copy of) the downloaded ZIP file in the Hitrava installation folder and rename it to HiZip.zip.

Step 3 - Convert the data with Hitrava

Tip: If you're on Windows and you're not familiar with the Command Prompt or just want to do a quick conversion with default arguments, you can use the Run_Hitrava_Decrypt.cmd batch file.

  • Open the Run_Hitrava_Decrypt.cmd file with a text editor and change the password 123456 to the password you provided in step 2 above.
  • double-click the Run_Hitrava_Decrypt.cmd file in the installation folder of Hitrava.
    This will convert all available activities in the ZIP file from the previous step.
  • Open a Command Prompt and change the directory to the installation folder of Hitrava.
  • In the Command Prompt, run Hitrava.py with the --zip command line argument. You can start from the default example command below or add / change command line arguments as you need.

IMPORTANT: You must replace the password 123456 with the password you provided in step 2 above.

Hitrava.py --zip HiZip.zip --password 123456 --json_export

The above command will generate both the original HiTrack files and the converted TCX files for ALL activities to the output subfolder of the Hitrava installation folder. In this folder:

  • Files without an extension are the Huawei HiTrack files which contain the raw unconverted data of an activity.
  • Files with the .json extension represent an exported copy of the JSON data of a single activity.
  • Files with the .tcx extension are the converted files suitable for upload to Strava.

Step 4 - Upload your data to Strava

You can now go to the Strava website to import your data.

  • Go to the 'Upload and Sync Your Activities' page on Strava.
  • Log in with your Strava account.
  • Once logged in, use the 'Browse...' button on the page and select the converted TCX files (with the .tcx extension, up to 25 at once) to upload.

Other Operating Systems Users (macOS, Linux, UNIX)

Step 1 - Request your data

Follow the same procedure as for Windows users explained above.

Step 2 - Download and extract your data

  • In the mail from Huawei, click on the link to download your data and follow the instructions.
  • Extract the following file from the downloaded ZIP file using an unzip tool for your operating system that supports AES encrypted ZIP files.

    Motion path detail data & description/motion path detail data.json

  • Put (a copy of) the extracted file in the Hitrava installation folder and rename it to HiJson.json.

Step 3 - Convert the JSON file with Hitrava

  • Open a Terminal window and change the directory to the installation folder of Hitrava.
  • In the terminal Prompt, run Hitrava.py with the --json command line argument. You can start from the default example command below or add / change command line arguments as you need.
    python3 Hitrava.py --json HiJson.json --json_export
    
    The above command will generate both the original HiTrack files and the converted TCX files for ALL activities to the output subfolder of the Hitrava installation folder. In this folder:
    • Files without an extension are the Huawei HiTrack files which contain the raw unconverted data of an activity.
    • Files with the .json extension represent an exported copy of the JSON data of a single activity.
    • Files with the .tcx extension are the converted files suitable for upload to Strava.

Step 4 - Upload your data

Follow the same procedure as for Windows users explained above.

Usage

Command Line Arguments Overview

usage: Hitrava.py [-h] [-z ZIP] [-p PASSWORD] [-j JSON] [--json_export] [-f FILE]
                  [-s {Walk,Run,Cycle,Swim_Pool,Swim_Open_Water}] [-t TAR]
                  [--from_date FROM_DATE] [--pool_length POOL_LENGTH]
                  [--tcx_insert_altitude_data] [--output_dir OUTPUT_DIR]
                  [--use_original_filename]
                  [--output_file_prefix OUTPUT_FILE_PREFIX]
                  [--suppress_output_file_sequence] [--validate_xml]
                  [--log_level {INFO,DEBUG}]

optional arguments:
  -h, --help            show this help message and exit
  --log_level {INFO,DEBUG}
                        Set the logging level.

JSON options:
  -z ZIP, --zip ZIP     The filename of the Huawei Cloud ZIP file containing
                        the JSON file with the motion path detail data to
                        convert. The JSON file will be extracted to the
                        directory in the --output_dir argument and conversion
                        will be performed.
  -p PASSWORD, --password PASSWORD
                        The password of the encrypted Huawei Cloud ZIP file.
                        Required for encrypted ZIP files only.
  -j JSON, --json JSON  The filename of a Huawei Cloud JSON file containing
                        the motion path detail data to convert or the filename
                        of the Huawei Cloud ZIP file containing the JSON file
                        with the motion path detail data (this will work
                        identical to --zip argument above).
  --json_export         Exports a file with the JSON data of each single
                        activity that is converted from the JSON file in the
                        --json argument. The file will be exported to the
                        directory in the --output_dir argument with a .json
                        file extension. The exported file can be reused in the
                        --json argument to e.g. run the conversion again for
                        the JSON activity or for debugging purposes.

FILE options:
  -f FILE, --file FILE  The filename of a single HiTrack file to convert.
  -s {Walk,Run,Cycle,Swim_Pool,Swim_Open_Water}, --sport {Walk,Run,Cycle,Swim_Pool,Swim_Open_Water}
                        Force sport for the conversion. Sport will be auto-
                        detected when this option is not used.

TAR options:
  -t TAR, --tar TAR     The filename of an (unencrypted) tarball with HiTrack
                        files to convert.

DATE options:
  --from_date FROM_DATE
                        Applicable to --json and --tar options only. Only
                        convert HiTrack information from the JSON file or from
                        HiTrack files in the tarball if the activity started
                        on FROM_DATE or later. Format YYYY-MM-DD

SWIM options:
  --pool_length POOL_LENGTH
                        The pool length in meters to use for swimming
                        activities. If the option is not set, the estimated
                        pool length derived from the available speed data in
                        the HiTrack file will be used. Note that the available
                        speed data has a minimum resolution of 1 dm/s.

TCX options:
  --tcx_insert_altitude_data
                        When an activity has altitude information, inserts the
                        last known altitude in every track point of the
                        generated TCX file.

OUTPUT options:
  --output_dir OUTPUT_DIR
                        The path to the directory to store the output files.
                        The default directory is ./output.
  --use_original_filename
                        In single FILE or TAR mode, when using this option the
                        converted TCX files will have the same filename as the
                        original input file (except from the file extension).
  --output_file_prefix OUTPUT_FILE_PREFIX
                        Adds the strftime representation of this argument as a
                        prefix to the generated TCX XML file(s). E.g. use
                        %Y-%m-%d- to add human readable year-month-day
                        information in the name of the generated TCX file.
  --suppress_output_file_sequence
                        Suppresses the sequence number suffix in the filenames
                        of converted TCX files when converting activities in
                        ZIP or JSON mode.
  --validate_xml        Validate generated TCX XML file(s). NOTE: requires
                        xmlschema library and an internet connection to
                        retrieve the TCX XSD.

Usage Examples

Encrypted ZIP file conversion example

Use the command below to convert all activities available in the encrypted ZIP file with the Huawei Privacy data (here with filename HiZip.zip) that were started on October, 3rd, 2019 or later.
The ZIP file was encrypted with password 123456 provided in the Huawei Health app.
The following files will be generated in folder ./my_output_dir:

  • JSON files with the raw JSON data of a single activity (.json file extension).
  • HiTrack files with the unconverted source data of a single activity (no extension, filenames start with HiTrack_).
  • Converted TCX files for upload to Strava (.tcx file extension).
 python Hitrava.py --zip HiZip.zip --password 123456 --json_export --from_date 2019-10-03 --output_dir my_output_dir

ZIP file conversion example

Use the command below to convert all activities available in the ZIP file with the Huawei Privacy data (here with filename HiZip.zip) that were started on October, 3rd, 2019 or later. The following files will be generated in folder ./my_output_dir:

  • JSON files with the raw JSON data of a single activity (.json file extension).
  • HiTrack files with the unconverted source data of a single activity (no extension, filenames start with HiTrack_).
  • Converted TCX files for upload to Strava (.tcx file extension).
 python Hitrava.py --zip HiZip.zip --json_export --from_date 2019-10-03 --output_dir my_output_dir

JSON file conversion example

Use the command below to convert all activities available in the motion path JSON file from the requested Huawei Privacy data that were started on October, 3rd, 2019 or later. Source HiTrack files and converted TCX files will be generated in folder ./my_output_dir/json

 python Hitrava.py --json "motion path detail data.json" --from_date 2019-10-03 --output_dir my_output_dir/json

Same as above, but also create an additional export file for each converted activity containing the raw JSON data of that activity from the motion path JSON file.

python Hitrava.py --json "motion path detail data.json" --json_export --from_date 2019-10-03 --output_dir my_output_dir/json

Single file conversion examples

The example below converts extracted file HiTrack_12345678901212345678912 to HiTrack_12345678901212345678912.tcx in the ./output directory

python Hitrava.py --file HiTrack_12345678901212345678912

The next example converts extracted file HiTrack_12345678901212345678912 to HiTrack_12345678901212345678912.tcx in the ./my_output_dir directory. The program logging level is set to display debug messages. The converted file is validated against the TCX XSD schema (requires installed xmlschema library and an internet connection).

python Hitrava.py --file HiTrack_12345678901212345678912 --output_dir my_output_dir --validate_xml --log_level DEBUG

The following example converts an extracted file HiTrack_12345678901212345678912 to HiTrack_12345678901212345678912.tcx in the ./output directory and forces the sport to walking.

python Hitrava.py --file HiTrack_12345678901212345678912 --sport Walk

The next example converts an indoor swimming activity in an extracted file HiTrack_12345678901212345678912 to HiTrack_12345678901212345678912.tcx. The length of the pool in meters is specified to have a more accurate swimming data calculation.

python Hitrava.py --file HiTrack_12345678901212345678912 --pool_length 25

Tar file conversion examples

The first example extracts and converts any HiTrack file found in tar file com.huawei.health.tar into the ./output directory. The output directory will contain both the extracted HiTrack file and the converted TCX XML file.

python Hitrava.py --tar com.huawei.health.tar

In the example below, only activities in the com.huawei.health.tar tarball that were started on August 20th, 2019 or later will be extracted and converted to the ./output directory.

python Hitrava.py --tar com.huawei.health.tar --from_date 2019-08-20

Release Notes

For a full changelog of all versions, please look in CHANGELOG.md.

Copyright and License

nposl3.0

Copyright (c) 2019-2020 Christoph Vanthuyne

Licensed under the Non-Profit Open Software License version 3.0 from Hitrava version 3.1.1 onward.

Read the full license information here.

If you're more into a TL;DR approach, start here.

hitrava's People

Contributors

cthru avatar aricooperdavis avatar tommyblue avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.