Skip to main content

A solution for research data management

Project description

The CADET-Research Data Management toolbox

Getting started

Installation

CADET-RDM can be installed using

pip install cadetrdm

Initialize Project Repository

Create a new project repository or convert an existing repository into a CADET-RDM repo:

cadet-rdm initialize-repo <path-to-repo> <output-folder-name>

or from python

from cadetrdm import initialize_repo
initialize_repo(path_to_repo, output_folder_name)

The output_folder_name can be given optionally. It defaults to output.

Use CADET-RDM in Python

Tracking Results

from cadetrdm import ProjectRepo

"""
Your imports and function declarations
e.g. generate_data(), write_data_to_file(), analyse_data() and plot_analysis_results()
"""

if __name__ == '__main__':
    # Instantiate CADET-RDM ProjectRepo handler
    repo = ProjectRepo()

    # If you've made changes to the code, commit the changes
    repo.commit("Add code to generate and analyse example data")

    # Everything written to the output_folder within this context manager gets tracked
    # The method repo.output_data() generates full paths to within your output_folder
    with repo.track_results(results_commit_message="Generate and analyse example data"):
        data = generate_data()
        output_filepath = repo.output_data(sub_path="raw_data/data.csv")
        write_data_to_file(data, output_filepath)

        analysis_results = analyse_data(data)
        figure_path=repo.output_data("analysis/regression.png")
        plot_analysis_results(analysis_results, figure_path)

Sharing Results

To share your project code and results with others, you need to create remote repositories on e.g. GitHub or GitLab. You need to create a remote for both the project repo and the results repo.

Once created, the remotes need to be added to the local repositories.

cadet-cli add-remote-to-repo <path_to_repo> git@<my_git_server.foo>:<project>.git
cadet-cli add-remote-to-repo <path_to_repo/output_folder> git@<my_git_server.foo>:<project>_output.git

or in Python:

repo = ProjectRepo()
repo.add_remote("git@<my_git_server.foo>:<project>.git")
repo.output_repo.add_remote("git@<my_git_server.foo>:<project>_output.git")

Once remotes are configured, you can push all changes to the project repo and the results repos with the command

# push all changes to the Project and Output repositories with one command:
repo.push()

Re-using results from previous iterations

Each result stored with CADET-RDM is given a unique branch name, formatted as: <timestamp>_<output_folder>_"from"_<active_project_branch>_<project_repo_hash[:7]>

With this branch name, previously generated data can be loaded in as input data for further calculations.

cached_array_path = repo.input_data(branch_name=branch_name, file_path="raw_data/data.csv")

Alternatively, using the auto-generated cache of previous results, CADET-RDM can infer the correct branch name from the path to the file within the cache

cached_array_path = repo.input_data(file_path="output_cached/<branch_name>/raw_data/data.csv")

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

CADET-RDM-0.0.5.tar.gz (29.5 kB view hashes)

Uploaded Source

Built Distribution

CADET_RDM-0.0.5-py3-none-any.whl (29.8 kB view hashes)

Uploaded Python 3

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