Importation procedures

Python classes are provided to insert neuroimaging genetic data in a cubicweb database. The major advantage of this module is to guarantee a unified schema that in turn enables us to design common views.

piws.scripts: Unified importation methods

base.Base(session[, can_read, can_update, ...])	This class enables us to add new entities and relations in CW.
subjects.Subjects(session, project_name, ...)	This class enables us to add new subjects in CW.
genetics.Genetics(session, project_name, ...)	This class enables us to load the genetic data to CW.
scans.Scans(session, project_name, ...[, ...])	This class enables us to load the scan data to CW.
questionnaires.Questionnaires(session, ...)	This class enables us to load the questionnaire to CW.
processings.Processings(session, ...[, ...])	This class enables us to load the processing data to CW.
groups.CWGroups(session, list_group_names[, ...])	This class enables us to add new user groups in CW.
users.CWUsers(session, users)	This class enables us to add new users in CW and associate this user to one or multiple groups.

piws.demo: Demonstration

To exemplify the proposed unified importation methods, a demonstrator has been leveraged. By executing the ‘generate_toy_dataset.py’ function, a toy neuroimaging genetic data is created on your local file system.

The ‘import_to_dataset.py’ then inserts the generated data in a cubicweb database using the previously presented unified insertion procedures.