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information_resource_registry.py
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information_resource_registry.py
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# Auto generated from information_resource_registry.yaml by pythongen.py version: 0.0.1
# Generation date: 2024-03-08T21:54:53
# Schema: Information-Resource-Registry-Schema
#
# id: https://w3id.org/biolink/information_resource_registry.yaml
# description:
# license: https://creativecommons.org/publicdomain/zero/1.0/
import dataclasses
import re
from jsonasobj2 import JsonObj, as_dict
from typing import Optional, List, Union, Dict, ClassVar, Any
from dataclasses import dataclass
from linkml_runtime.linkml_model.meta import EnumDefinition, PermissibleValue, PvFormulaOptions
from linkml_runtime.utils.slot import Slot
from linkml_runtime.utils.metamodelcore import empty_list, empty_dict, bnode
from linkml_runtime.utils.yamlutils import YAMLRoot, extended_str, extended_float, extended_int
from linkml_runtime.utils.dataclass_extensions_376 import dataclasses_init_fn_with_kwargs
from linkml_runtime.utils.formatutils import camelcase, underscore, sfx
from linkml_runtime.utils.enumerations import EnumDefinitionImpl
from rdflib import Namespace, URIRef
from linkml_runtime.utils.curienamespace import CurieNamespace
from linkml_runtime.linkml_model.types import String
metamodel_version = "1.7.0"
version = "1.0.0"
# Overwrite dataclasses _init_fn to add **kwargs in __init__
dataclasses._init_fn = dataclasses_init_fn_with_kwargs
# Namespaces
BIOGRID = CurieNamespace('BIOGRID', 'http://identifiers.org/biogrid/')
SO = CurieNamespace('SO', 'http://purl.obolibrary.org/obo/SO_')
BIOLINK = CurieNamespace('biolink', 'https://w3id.org/biolink/')
INFORES = CurieNamespace('infores', 'https://w3id.org/biolink/infores/')
LINKML = CurieNamespace('linkml', 'https://w3id.org/linkml/')
OBOINOWL = CurieNamespace('oboInOwl', 'http://www.geneontology.org/formats/oboInOwl#')
RDF = CurieNamespace('rdf', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#')
RDFS = CurieNamespace('rdfs', 'http://www.w3.org/2000/01/rdf-schema#')
SKOS = CurieNamespace('skos', 'http://www.w3.org/2004/02/skos/core#')
XSD = CurieNamespace('xsd', 'http://www.w3.org/2001/XMLSchema#')
DEFAULT_ = INFORES
# Types
# Class references
@dataclass
class InformationResourceContainer(YAMLRoot):
"""
A collection of information resources
"""
_inherited_slots: ClassVar[List[str]] = []
class_class_uri: ClassVar[URIRef] = INFORES["InformationResourceContainer"]
class_class_curie: ClassVar[str] = "infores:InformationResourceContainer"
class_name: ClassVar[str] = "InformationResourceContainer"
class_model_uri: ClassVar[URIRef] = INFORES.InformationResourceContainer
information_resources: Optional[Union[Union[dict, "InformationResource"], List[Union[dict, "InformationResource"]]]] = empty_list()
def __post_init__(self, *_: List[str], **kwargs: Dict[str, Any]):
if not isinstance(self.information_resources, list):
self.information_resources = [self.information_resources] if self.information_resources is not None else []
self.information_resources = [v if isinstance(v, InformationResource) else InformationResource(**as_dict(v)) for v in self.information_resources]
super().__post_init__(**kwargs)
@dataclass
class InformationResource(YAMLRoot):
"""
A database or knowledgebase and its supporting ecosystem of interfaces and services that deliver content to
consumers (e.g. web portals, APIs, query endpoints, streaming services, data downloads, etc.). A single
Information Resource by this definition may span many different datasets or databases, and include many access
endpoints and user interfaces. Information Resources include project-specific resources such as a Translator
Knowledge Provider, and community knowledgebases like ChemBL, OMIM, or DGIdb.
"""
_inherited_slots: ClassVar[List[str]] = []
class_class_uri: ClassVar[URIRef] = INFORES["InformationResource"]
class_class_curie: ClassVar[str] = "infores:InformationResource"
class_name: ClassVar[str] = "InformationResource"
class_model_uri: ClassVar[URIRef] = INFORES.InformationResource
id: str = None
status: Optional[Union[str, "InformationResourceStatusEnum"]] = None
name: Optional[str] = None
xref: Optional[Union[str, List[str]]] = empty_list()
synonym: Optional[Union[str, List[str]]] = empty_list()
description: Optional[str] = None
knowledge_level: Optional[Union[str, "KnowledgeLevelEnum"]] = None
agent_type: Optional[Union[str, "AgentTypeEnum"]] = None
def __post_init__(self, *_: List[str], **kwargs: Dict[str, Any]):
if self._is_empty(self.id):
self.MissingRequiredField("id")
if not isinstance(self.id, str):
self.id = str(self.id)
if self.status is not None and not isinstance(self.status, InformationResourceStatusEnum):
self.status = InformationResourceStatusEnum(self.status)
if self.name is not None and not isinstance(self.name, str):
self.name = str(self.name)
if not isinstance(self.xref, list):
self.xref = [self.xref] if self.xref is not None else []
self.xref = [v if isinstance(v, str) else str(v) for v in self.xref]
if not isinstance(self.synonym, list):
self.synonym = [self.synonym] if self.synonym is not None else []
self.synonym = [v if isinstance(v, str) else str(v) for v in self.synonym]
if self.description is not None and not isinstance(self.description, str):
self.description = str(self.description)
if self.knowledge_level is not None and not isinstance(self.knowledge_level, KnowledgeLevelEnum):
self.knowledge_level = KnowledgeLevelEnum(self.knowledge_level)
if self.agent_type is not None and not isinstance(self.agent_type, AgentTypeEnum):
self.agent_type = AgentTypeEnum(self.agent_type)
super().__post_init__(**kwargs)
# Enumerations
class InformationResourceStatusEnum(EnumDefinitionImpl):
"""
The status of the infores identifier
"""
released = PermissibleValue(text="released")
deprecated = PermissibleValue(text="deprecated")
draft = PermissibleValue(text="draft")
modified = PermissibleValue(text="modified")
_defn = EnumDefinition(
name="InformationResourceStatusEnum",
description="The status of the infores identifier",
)
class KnowledgeLevelEnum(EnumDefinitionImpl):
"""
The level of knowledge that supports an edge or node. This is a general categorization of the type of evidence
that supports a statement, and is not intended to be a comprehensive description of the evidence. For example, a
statement may be supported by a single publication, but that publication may contain multiple types of evidence,
such as a computational prediction and a manual curation. In this case, the knowledge level would be "curated",
and the evidence would be described in more detail in the evidence graph.
"""
curated = PermissibleValue(
text="curated",
description="""knowledge generated through manual curation or interpretation of data or published study results""")
predicted = PermissibleValue(
text="predicted",
description="""predictions generated computationally through inference over less direct forms of evidence (without human intervention or review)""")
text_mined = PermissibleValue(
text="text_mined",
description="knowledge extracted from published text by NLP agents (without human intervention or review)")
correlation = PermissibleValue(
text="correlation",
description="""statistical correlations calculated between variables in a clinical or omics dataset, by an automated analysis pipeline""")
observed = PermissibleValue(
text="observed",
description="""edge reports a phenomenon that was reported/observed to have occurred (and possibly some quantification, e.g. how many times, at what frequency)""")
other = PermissibleValue(
text="other",
description="knowledge level may not fit into the categories above, or is not provided/known")
mixed = PermissibleValue(
text="mixed",
description="""used for sources that might provide edges with different knowledge levels, e.g.correlations in addition to curated Edges - set tag to Curated, unless predicate rules override""")
_defn = EnumDefinition(
name="KnowledgeLevelEnum",
description="""The level of knowledge that supports an edge or node. This is a general categorization of the type of evidence that supports a statement, and is not intended to be a comprehensive description of the evidence. For example, a statement may be supported by a single publication, but that publication may contain multiple types of evidence, such as a computational prediction and a manual curation. In this case, the knowledge level would be \"curated\", and the evidence would be described in more detail in the evidence graph.""",
)
class AgentTypeEnum(EnumDefinitionImpl):
"""
The type of agent that supports an edge or node. This is a general categorization of the type of agent that
supports a statement, and is not intended to be a comprehensive description of the agent. For example, a statement
may be supported by a single publication, but that publication may contain multiple types of evidence, such as a
computational prediction and a manual curation. In this case, the agent type would be "publication", and the
evidence would be described in more detail in the evidence graph.
"""
not_provided = PermissibleValue(
text="not_provided",
description="agent type is not provided or known")
computational_model = PermissibleValue(
text="computational_model",
description="a computational model, such as a machine learning model")
_defn = EnumDefinition(
name="AgentTypeEnum",
description="""The type of agent that supports an edge or node. This is a general categorization of the type of agent that supports a statement, and is not intended to be a comprehensive description of the agent. For example, a statement may be supported by a single publication, but that publication may contain multiple types of evidence, such as a computational prediction and a manual curation. In this case, the agent type would be \"publication\", and the evidence would be described in more detail in the evidence graph.""",
)
# Slots
class slots:
pass
slots.status = Slot(uri=INFORES.status, name="status", curie=INFORES.curie('status'),
model_uri=INFORES.status, domain=None, range=Optional[Union[str, "InformationResourceStatusEnum"]])
slots.information_resources = Slot(uri=INFORES.information_resources, name="information_resources", curie=INFORES.curie('information_resources'),
model_uri=INFORES.information_resources, domain=None, range=Optional[Union[Union[dict, InformationResource], List[Union[dict, InformationResource]]]])
slots.name = Slot(uri=RDFS.label, name="name", curie=RDFS.curie('label'),
model_uri=INFORES.name, domain=None, range=Optional[str])
slots.id = Slot(uri=INFORES.id, name="id", curie=INFORES.curie('id'),
model_uri=INFORES.id, domain=None, range=str)
slots.xref = Slot(uri=INFORES.xref, name="xref", curie=INFORES.curie('xref'),
model_uri=INFORES.xref, domain=None, range=Optional[Union[str, List[str]]])
slots.synonym = Slot(uri=INFORES.synonym, name="synonym", curie=INFORES.curie('synonym'),
model_uri=INFORES.synonym, domain=None, range=Optional[Union[str, List[str]]])
slots.description = Slot(uri=RDFS.comment, name="description", curie=RDFS.curie('comment'),
model_uri=INFORES.description, domain=None, range=Optional[str])
slots.knowledge_level = Slot(uri=INFORES.knowledge_level, name="knowledge level", curie=INFORES.curie('knowledge_level'),
model_uri=INFORES.knowledge_level, domain=None, range=Optional[Union[str, "KnowledgeLevelEnum"]])
slots.agent_type = Slot(uri=INFORES.agent_type, name="agent type", curie=INFORES.curie('agent_type'),
model_uri=INFORES.agent_type, domain=None, range=Optional[Union[str, "AgentTypeEnum"]])