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-0.1.64.tar.gz (111.5 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-0.1.64-py3-none-any.whl (143.6 kB view details)

Uploaded Python 3

File details

Details for the file mhd_model-0.1.64.tar.gz.

File metadata

  • Download URL: mhd_model-0.1.64.tar.gz
  • Upload date:
  • Size: 111.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.1 {"installer":{"name":"uv","version":"0.11.1","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-0.1.64.tar.gz
Algorithm Hash digest
SHA256 9576050a8b49eebc359e684d18889256837e568b8752b03ded70e4610d414274
MD5 eb10b88184a1423762b222883bd477c7
BLAKE2b-256 a4ffcb7152ced76f9b58f447822a6f0a5cd296e0acf420702ce9f2352310500d

See more details on using hashes here.

File details

Details for the file mhd_model-0.1.64-py3-none-any.whl.

File metadata

  • Download URL: mhd_model-0.1.64-py3-none-any.whl
  • Upload date:
  • Size: 143.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.1 {"installer":{"name":"uv","version":"0.11.1","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-0.1.64-py3-none-any.whl
Algorithm Hash digest
SHA256 640afcbb291978bc731d2a9a9e6a0e622c37ebaf6f9e390d7886393626e9ea76
MD5 32270f44b2411b07464bab7e568c1b96
BLAKE2b-256 d8d923bebb3f72a2a0310647c494dfbfd9b3db88e9239d9b26554243c15bb1fe

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