Copier des données entre bases

Copy any kind of data between databases

Description

A general process which allows to copy any kind of data from one database to another. It copies any data type handled by both (input and output) databases, including directory data such as Subject or Center, which will be copied recursively.

Data can also be copied into the input database under a new name, for instance copy an existing subject to a new one with a different name.

The process relies on database organization, so it will appropriately rename data when needed to follow the right patterns. It can also operate between databases which do not follow the same ontology organization.

There are a few restrictions, though:

• Input and output databases must use the same data types; each data to be copied must have a type which is understood and has a location in the output database. Moreover, the key attributes set for data must match "sufficiently" (links must work to generate output locations).
• data UUIDs will change, but referentials UUIDs in data will not. Thus data will reference referentials at their former location. This is a limitation that may be overcome, one day.

Paramètres

data_type: Choice ( input )

input_data: Any Type ( entrée )

output_database: Choice ( input )

output_data: Any Type ( sortie )

Informations techniques

Toolbox : Gestion des données

Niveau d'utilisateur : 0

Identifiant : copydata

Nom de fichier : brainvisa/toolboxes/data management/processes/copydata.py

Supported file formats :

input_data :

Z compressed ECAT v image, BMP image, DEF Label Translation, Database Cache file, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIFTI file, GIS image, Graph and data, Gyri Model, HTML, Hiérarchie, JPEG image, JSON file, Label Translation, Maillage MESH, MINC image, MNI OBJ mesh, Matlab file, Minf, NIFTI-1 image, PBM image, PGM image, PLY mesh, PNG image, PPM image, Referential, SPM image, SQLite Database File, Sigraph Learner, TIFF image, TIFF(.tif) image, Maillage TRI, Template model, Template model domain, Text Data Table, Transformation matrix, VIDA image, XBM image, XPM image, Z compressed ECAT i image, Z compressed ECAT v image, Z compressed GIFTI file, Z compressed GIS image, Z compressed MESH mesh, Z compressed MNI OBJ mesh, Z compressed PLY mesh, Z compressed SPM image, Z compressed TRI mesh, Z compressed VIDA image, gz compressed ECAT i image, gz compressed ECAT v image, gz compressed GIFTI file, gz compressed GIS image, gz compressed MESH mesh, gz compressed MINC image, gz compressed MNI OBJ mesh, gz compressed NIFTI-1 image, gz compressed PLY mesh, gz compressed SPM image, gz compressed TRI mesh, gz compressed VIDA image

output_data :

Z compressed ECAT v image, BMP image, DEF Label Translation, Database Cache file, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIF image, GIFTI file, GIS image, Graph and data, Gyri Model, HTML, Hiérarchie, JPEG image, JSON file, Label Translation, Maillage MESH, MINC image, MNI OBJ mesh, Matlab file, Minf, NIFTI-1 image, PBM image, PGM image, PLY mesh, PNG image, PPM image, Referential, SPM image, SQLite Database File, Sigraph Learner, TIFF image, TIFF(.tif) image, Maillage TRI, Template model, Template model domain, Text Data Table, Transformation matrix, VIDA image, XBM image, XPM image, Z compressed ECAT i image, Z compressed ECAT v image, Z compressed GIFTI file, Z compressed GIS image, Z compressed MESH mesh, Z compressed MNI OBJ mesh, Z compressed PLY mesh, Z compressed SPM image, Z compressed TRI mesh, Z compressed VIDA image, gz compressed ECAT i image, gz compressed ECAT v image, gz compressed GIFTI file, gz compressed GIS image, gz compressed MESH mesh, gz compressed MINC image, gz compressed MNI OBJ mesh, gz compressed NIFTI-1 image, gz compressed PLY mesh, gz compressed SPM image, gz compressed TRI mesh, gz compressed VIDA image