Skip to main content

MetabolomicsHub Common Data Model

Project description

MetabolomicsHub Common Data Model and Utility Tools (mhd-model)

You can find documentation on Github

Development Environment

Development environment for linux or mac

# install python package manager uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# add $HOME/.local/bin to your PATH, either restart your shell or run
export PATH=$HOME/.local/bin:$PATH

# install git from https://git-scm.com/downloads
# Linux command
apt update; apt install git -y

# Mac command
# brew install git

# clone project from github
git clone https://github.com/MetabolomicsHub/mhd_model.git

cd mhd-model

# install python if it is not installed
uv python install 3.12

# install python dependencies
uv sync

# install pre-commit to check repository integrity and format checking
uv run pre-commit

# open your IDE (vscode, pycharm, etc.) and set python interpreter as .venv/bin/python

Commandline Usage

# you can use any python version >= 3.12
pip install mhd-model

mhd-cli

Example API Usage

from mhd_model.mhd_client import MhdClient, MhdClientError

mhd_webservice_base_url = "https://www.metabolomicshub.org/api/submission"
api_key = "<your-api-key>"

def get_new_mhd_accession_example():
    mhd_client: MhdClient = MhdClient(mhd_webservice_base_url, api_key)

    try:
        accession = mhd_client.get_new_mhd_accession(
            dataset_repository_identifier="MTBLS1234567", accession_type="mhd"
        )
        print("Accession: %s" % accession)
    except MhdClientError as ex:
        print("Error: %s" % ex.message)

def get_new_test_mhd_accession_example():
    mhd_client: MhdClient = MhdClient(mhd_webservice_base_url, api_key)

    try:
        accession = mhd_client.get_new_mhd_accession(
            dataset_repository_identifier="MTBLS4444", accession_type="test"
        )
        print("Accession: %s" % accession)
    except MhdClientError as ex:
        print("Error: %s" % ex.message)


def submit_legacy_dataset_example():
    announcement_file_path = "MTBLS9876543.announcement.json"
    dataset_repository_id = "MTBLS9876543"
    announcement_reason="Initial revision"
    mhd_client: MhdClient = MhdClient(mhd_webservice_base_url, api_key)

    try:
        revision: SubmittedRevision = mhd_client.submit_announcement_file(
            dataset_repository_id=dataset_repository_id,
            mhd_id=None,
            file_path=announcement_file_path,
            announcement_reason=announcement_reason,
        )
        print("Revision: %s" % revision.revision)
    except MhdClientError as ex:
        print("Error: %s" % ex.message)


def submit_mhd_dataset_example():
    announcement_file_path = "MTBLS9876543.announcement.json"
    mhd_id = "MHD0000001"
    dataset_repository_id = "MTBLS22222"
    announcement_reason="Initial revision"
    mhd_client: MhdClient = MhdClient(mhd_webservice_base_url, api_key)

    try:
        revision: SubmittedRevision = mhd_client.submit_announcement_file(
            dataset_repository_id=dataset_repository_id,
            mhd_id=mhd_id,
            file_path=announcement_file_path,
            announcement_reason=announcement_reason,
        )
        print("Revision: %s" % revision.revision)
    except MhdClientError as ex:
        print("Error: %s" % ex.message)

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

mhd_model-0.1.41.tar.gz (105.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mhd_model-0.1.41-py3-none-any.whl (136.8 kB view details)

Uploaded Python 3

File details

Details for the file mhd_model-0.1.41.tar.gz.

File metadata

  • Download URL: mhd_model-0.1.41.tar.gz
  • Upload date:
  • Size: 105.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.28 {"installer":{"name":"uv","version":"0.9.28","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for mhd_model-0.1.41.tar.gz
Algorithm Hash digest
SHA256 a28cbd789982d2bc8d7b3e74c7dbabd5b059a86db552b2023487e56e22286fcd
MD5 beaf56b7de25d790391d262991215e27
BLAKE2b-256 8580bf86621d88b16afb8ae915f58829882a38abb86528f4226a9f35189991fb

See more details on using hashes here.

File details

Details for the file mhd_model-0.1.41-py3-none-any.whl.

File metadata

  • Download URL: mhd_model-0.1.41-py3-none-any.whl
  • Upload date:
  • Size: 136.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.28 {"installer":{"name":"uv","version":"0.9.28","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for mhd_model-0.1.41-py3-none-any.whl
Algorithm Hash digest
SHA256 283cd70a6f5a15ac620ab9c758443e57a3805268b9e38b5a1a1d76675804795a
MD5 9788e70013cc176534c1774df48aefbc
BLAKE2b-256 d8a3c9c68857333e18c2f3300d4ba6acb830ca48c8a5c21ee5dc0c3b284d5ff7

See more details on using hashes here.

Supported by

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