Skip to main content

`tap-applehealth` is a Singer tap for Apple Health, built with the Meltano Singer SDK.

Project description

tap-applehealth

Singer tap for the export.xml file from Apple Health. Built with the Meltano Tap SDK for Singer Taps.

Supported Data

  • Workout
  • Record
  • ActivitySummary

Installation

Install from PyPi:

pipx install tap-applehealth

Capabilities

  • catalog
  • state
  • discover
  • about
  • stream-maps
  • schema-flattening
  • batch

Settings

Setting Required Default Description
file_path True None The file path of the export.xml file. It can be a local file or a s3:// path.
stream_maps False None Config object for stream maps capability. For more information check out Stream Maps.
stream_map_config False None User-defined config values to be used within map expressions.
flattening_enabled False None 'True' to enable schema flattening and automatically expand nested properties.
flattening_max_depth False None The max depth to flatten schemas.
batch_config False None

A full list of supported settings and capabilities is available by running: tap-applehealth --about

Configure using environment variables

This Singer tap will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

Supported Python Versions

  • 3.8
  • 3.9
  • 3.10
  • 3.11

Usage

You can easily run tap-applehealth by itself or in a pipeline using Meltano.

Executing the Tap Directly

tap-applehealth --version
tap-applehealth --help
tap-applehealth --config CONFIG --discover > ./catalog.json

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

You will need Poetry installed on your machine.

# Install package dependencies
poetry install

Use pre-commit

pre-commit run --all-files

Create and Run Tests

Create tests within the tests subfolder and then run:

poetry run pytest

You can also test the tap-applehealth CLI interface directly using poetry run:

poetry run tap-applehealth --help

Testing with Meltano

Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.

Install Meltano (if you haven't already) and any needed plugins:

# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-applehealth
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-applehealth --version
# OR run a test `elt` pipeline:
meltano elt tap-applehealth target-jsonl

SDK Dev Guide

See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tap_applehealth-0.0.4.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

tap_applehealth-0.0.4-py3-none-any.whl (9.8 kB view details)

Uploaded Python 3

File details

Details for the file tap_applehealth-0.0.4.tar.gz.

File metadata

  • Download URL: tap_applehealth-0.0.4.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for tap_applehealth-0.0.4.tar.gz
Algorithm Hash digest
SHA256 58abd0ac029a0bec2bcf58fa8e98ca652282825e2f78453b33de22113be30add
MD5 a122f863900e9b1153f8d23752b3e73e
BLAKE2b-256 c44db7ad81df5359fa5875d1af77ffa7ba6fcd43ce7271770125d6f80ca0fa4a

See more details on using hashes here.

File details

Details for the file tap_applehealth-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for tap_applehealth-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f577f48192c4c6a51c2890f625a31896b5926386d624ba13731dcb9b489a57cc
MD5 d74393111e47f4d9046b4b0bb7859bc5
BLAKE2b-256 8c96407a49ef8b1226c84f2b87084e9f8385123b0e11b5ec5450834d4ffbb8e9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page