Pydantic Cidoc-CRM implementation
Project description
Pydantic Cidoc-CRM Implementation
A Python implementation of Cidoc-CRM 7.1.1 using pydantic and rdflib.
Data modelling in conformity with Cidoc-CRM poses some challenges. Cidoc-CRM has a complex inheritance structure, from which specific range and domain restrictions are derived. Complying with these restrictions can be difficult at times. This package is an attempt to facilitate working with Cidoc-CRM in Python, as well as mitigate some of its challenges. By means of rigours type checking, domain and range are ensured to be correct at all times, as well as typos prevented that would hinder interoperability.
To conform to Python's syntax and standards, a few name changes had to be made:
- Underscores and dashes in class names are omitted (E24_Physical_Human-Made_Thing -> E24PhysicalHumanMadeThing)
- All properties start with a lower p (P1_is_identified_by -> p1_is_identified_by)
- Dashes in property names are replaced by underscores (P4_has_time-span -> p4_has_time_span)
However, when an object is serialized, all names are converted back.
Limitations
Cardinality and XSD types are not defined in the RDFS files. Since this model is automatically generated from theses files, they are not implemented here either. For now, every property accepts an instance or a list of instances of the required domain class or one of its subclasses.
Installation
$ pip3 install pydantic_cidoc_crm
Usage
from pydantic_cidoc_crm import E53Place, E41Appellation
x = E53Place(
iri="http:/localhost/a_place",
p1_is_identified_by=E41Appellation(
iri="http:/localhost/a_place/appellation",
p190_has_symbolic_content=["Berlin"]
)
)
x.serialize()
<http:/localhost/a_place/appellation> <http://www.cidoc-crm.org/cidoc-crm/P190_has_symbolic_content> "Berlin" .
<http:/localhost/a_place/appellation> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.cidoc-crm.org/cidoc-crm/E41_Appellation> .
<http:/localhost/a_place> <http://www.cidoc-crm.org/cidoc-crm/P1_is_identified_by> <http:/localhost/a_place/appellation> .
<http:/localhost/a_place> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.cidoc-crm.org/cidoc-crm/E53_Place>
Restrictions of domain:
from pydantic_cidoc_crm import E53Place, E41Appellation
x = E53Place(
iri="http:/localhost/a_place",
p48_has_preferred_identifier=E41Appellation(
iri="http:/localhost/a_place/identifier",
p190_has_symbolic_content="123"
)
)
Will throw a validation error:
pydantic.error_wrappers.ValidationError: 1 validation error for E53Place
p48_has_preferred_identifier
Domain must be E42Identifier or a subclass of it. (type=value_error)
Restriction of range and safeguard against typos:
from pydantic_cidoc_crm import E53Place, E41Appellation
x = E53Place(
iri="http:/localhost/a_place",
p1_is_identefied_by=E41Appellation(
iri="http:/localhost/a_place/appellation",
p190_has_symbolic_content="Berlin"
)
)
Will throw a validation error:
pydantic.error_wrappers.ValidationError: 1 validation error for E53Place
p1_is_identefied_by
extra fields not permitted (type=value_error.extra)
License
This project is licensed under MIT license - see the LICENSE file for more information.
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
File details
Details for the file pydantic_cidoc_crm-0.0.2.tar.gz
.
File metadata
- Download URL: pydantic_cidoc_crm-0.0.2.tar.gz
- Upload date:
- Size: 14.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | db57581354f1faff7b3bded00c7aa4d0c5a4b22be88cdb7cfb6ac6f72f9e12f9 |
|
MD5 | f1eef283f9e1b543c48a471de58e6ff8 |
|
BLAKE2b-256 | 1e6dc6fea4693c1dd89f16999454099b8eb56eb72dc98ecb4fb6eb268b8872a7 |
File details
Details for the file pydantic_cidoc_crm-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: pydantic_cidoc_crm-0.0.2-py3-none-any.whl
- Upload date:
- Size: 14.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c2296b8b529096e3edf2c7e85f52f78ecd36e5d5b3ce03108ba0b9cf50cc5a2b |
|
MD5 | ff6fda8f4e9f4d4022e70ae752facf41 |
|
BLAKE2b-256 | df826fdf6df08051ef2cf5d76cb3eb88f6b1dfbbb8130bc91db55b02c29f4851 |