Datalad Metadata Model
Project description
Datalad Metadata Model
This software implements the metadata model that datalad and datalad-metalad will use in the future (datalad-metalad>=0.3.0) to handle metadata.
Model Elements (the model layer)
The metadata model is defined by the API of the top-level classes. Those are:
-
MetadataRootRecord
-- holds top-level metadata information for a single version of a datalad dataset -
UUIDSet
-- holds metadata root records for a set of datasets that are identified by their UUIDs and their version. -
TreeVersionList
-- holds metadata root records and a sub-dataset tree for a dataset version and its sub-datasets -
Metadata
-- represents metadata for a single item, i.e. dataset or file. Metadata is associated with extractor names and extraction parameters. -
DatasetTree
-- a representation of the sub-dataset hierarchy of a dataset -
FileTree
-- a representation of the file-tree of a dataset -
...
Because of the large size of some datalad-datasets, e.g. tens of thousands of sub-datasets and hundres of millions of files, the implementation allows focus-based operations on individual parts of the potentially very large metadata model. The implementation uses the proxy-pattern, that means, it loads, modifies, and saves only the minimal necessary model elements that are necessary to operate on the metadata-information that the user is interested in.
Storage layer
The model elements have to be persisted on a storage backend. How the model is mapped on storage backends is defined by the storage layer, that is to a large degree independent of the model layer. The intention is to support multiple storage backends in the past.
Currently only one storage backend is supported:
git-mapping
-- a storage backend that stores a metadata model in a git repository. The model objects are stored outside of existing branches. They are referenced bydatalad
-specific git-references underrefs/datalad/*
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
Built Distribution
Hashes for datalad-metadata-model-0.3.4.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 029c8c443ec51c3a944cff01de58df1f8592b0c3ef7932d56a636d49740f0411 |
|
MD5 | 0ab9a21ae81032ed60ba7f9d7ac7c29a |
|
BLAKE2b-256 | 14c69bd53860f6ac84fe4330d2ed36ff7abe2b1cd839b5fe63f837328d7832a1 |
Hashes for datalad_metadata_model-0.3.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ebdf75ae3bbeedccbdcfd07112bcb64bcf0c8ca14b76135eb00bc249100df90 |
|
MD5 | 085811ba0f10b9148b290f7b2f5a13bc |
|
BLAKE2b-256 | f367ed124d8b6d4c59131edea22392d890635962caf5a9fed42dd9b2c5428482 |