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"89512dc2b80b1d5fb3dbbf3b5b472527a84d4f2f939d815233207795937cd634" +content-hash = "f2233f569211985c04212206cd953e17ac018398e75371c199cf3d56d5838a77" diff --git a/pyproject.toml b/pyproject.toml index 79f6d68a..afce3fd3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "linkml-runtime>=1.7.5", "linkml>1.7.10", "pandas>1.0.3", - "sssom-schema==1.1.0a2", + "sssom-schema==1.1.0a3", "sparqlwrapper>=2.0.0", "validators>=0.20.0", "deprecation>=2.1.0", diff --git a/src/sssom/constants.py b/src/sssom/constants.py index 41d52452..bf505a9e 100644 --- a/src/sssom/constants.py +++ b/src/sssom/constants.py @@ -82,6 +82,7 @@ PREDICATE_MODIFIER_NOT = "Not" PREDICATE_LABEL = "predicate_label" PREDICATE_TYPE = "predicate_type" +PUBLICATION_DATE = "publication_date" OBJECT_ID = "object_id" OBJECT_LABEL = "object_label" OBJECT_CATEGORY = "object_category" @@ -120,6 +121,7 @@ MATCH_STRING = "match_string" SUBJECT_PREPROCESSING = "subject_preprocessing" OBJECT_PREPROCESSING = "object_preprocessing" +RECORD_ID = "record_id" SEMANTIC_SIMILARITY_SCORE = "semantic_similarity_score" SEMANTIC_SIMILARITY_MEASURE = "semantic_similarity_measure" SEE_ALSO = "see_also" @@ -136,6 +138,8 @@ # see NO_TERM_FOUND = "sssom:NoTermFound" +ENTITY_TYPE_RDFS_LITERAL = "rdfs literal" + # PREDICATES OWL_EQUIVALENT_CLASS = "owl:equivalentClass" OWL_EQUIVALENT_PROPERTY = "owl:equivalentProperty" diff --git a/src/sssom/parsers.py b/src/sssom/parsers.py index ea4399bc..86382f66 100644 --- a/src/sssom/parsers.py +++ b/src/sssom/parsers.py @@ -39,7 +39,6 @@ get_filter_df_by_prefixes_index, ) from linkml_runtime.loaders.json_loader import JSONLoader -from linkml_runtime.loaders.rdflib_loader import RDFLibLoader from pandas.errors import EmptyDataError from rdflib import Graph from sssom_schema import EntityTypeEnum, Mapping, MappingSet @@ -80,6 +79,7 @@ ) from .context import ConverterHint, _get_built_in_prefix_map, ensure_converter +from .rdf_internal import MappingSetRDFConverter from .sssom_document import MappingSetDocument from .util import ( SSSOM_DEFAULT_RDF_SERIALISATION, @@ -617,24 +617,15 @@ def from_sssom_rdf( :returns: MappingSetDataFrame object """ converter = ensure_converter(prefix_map) - mapping_set = cast( - MappingSet, - RDFLibLoader().load( - source=g, - target_class=MappingSet, - schemaview=_get_sssom_schema_object().view, - prefix_map=converter.bimap, - ignore_unmapped_predicates=True, - ), - ) # The priority order for combining metadata is: # 1. Metadata appearing in the SSSOM document # 2. Metadata passed through ``meta`` to this function # 3. Default metadata - # As the Metadata appearing in the SSSOM document is already parsed by LinkML - # we only need to overwrite the metadata from 2 and 3 if it is not present + # We prepare a default dictionary with (2) and (3), which will be + # automatically combined with the metadata extracted from the RDF + # graph by the RDF converter. combine_meta = dict( ChainMap( meta or {}, @@ -642,9 +633,7 @@ def from_sssom_rdf( ) ) - _set_metadata_in_mapping_set(mapping_set, metadata=combine_meta, overwrite=False) - mdoc = MappingSetDocument(mapping_set=mapping_set, converter=converter) - return to_mapping_set_dataframe(mdoc) + return MappingSetRDFConverter().msdf_from_rdf(g, cc=converter, meta=combine_meta) def from_sssom_json( diff --git a/src/sssom/rdf_internal.py b/src/sssom/rdf_internal.py new file mode 100644 index 00000000..cd7d378d --- /dev/null +++ b/src/sssom/rdf_internal.py @@ -0,0 +1,992 @@ +"""Internal code for RDF import and export.""" + +from __future__ import annotations + +import logging +from datetime import date +from typing import Any, Callable, Dict, List, Optional, Set, Type, Union, cast + +from curies import Converter +from linkml_runtime.linkml_model.meta import SlotDefinition +from linkml_runtime.utils.schemaview import SchemaView +from pandas import DataFrame, Series +from rdflib import BNode, Graph, Literal, Node, URIRef +from rdflib.namespace import RDF, RDFS, XSD +from typing_extensions import override + +from .constants import ( + ENTITY_TYPE_RDFS_LITERAL, + EXTENSION_DEFINITIONS, + MAPPING_SET_ID, + MAPPINGS, + NO_TERM_FOUND, + OBJECT_ID, + OBJECT_TYPE, + PREDICATE_ID, + PREDICATE_MODIFIER, + PREDICATE_MODIFIER_NOT, + RECORD_ID, + SSSOM_URI_PREFIX, + SUBJECT_ID, + SUBJECT_TYPE, + SSSOMSchemaView, +) +from .util import MappingSetDataFrame, sort_df_rows_columns + +__all__ = ["MappingSetRDFConverter"] + +TRIPLE = tuple[Node, Node, Node] +DICT_OR_SERIES = Union[Dict[str, Any], Series] +MAPPINGS_IRI = URIRef(MAPPINGS, SSSOM_URI_PREFIX) +EXTENSION_DEFINITION_IRI = URIRef(EXTENSION_DEFINITIONS, SSSOM_URI_PREFIX) + +CurieConverterProvider = Callable[[], Converter] +"""A function that can provide a CURIE converter. + +We need this contraption because we have to create objects that will +need to use a CURIE converter at some point, but we want to create such +objects _before_ we get the converter -- because the converter to use +will be specific to a given MSDF or a given RDF graph, which is not yet +known at initialisation time. +""" + + +class ValueConverter(object): + """Base class for all value converters. + + A value converter converts a slot value to or from its RDF + representation. + """ + + def from_rdf(self, obj: Node) -> Any: + """Convert a RDF node into a SSSOM slot value. + + :param obj: The node to convert. + + :returns: The converted value. + + :raises ValueError: If the node cannot be converted into the + correct type of value for the slot. + """ + raise NotImplementedError + + def to_rdf(self, value: Any) -> Node: + """Convert a SSSOM slot value into a RDF node. + + For multi-valued slots, this method will be called once for + every value in the slot. + + :param value: The value to convert. + + :returns: A RDF node representing the value. + """ + raise NotImplementedError + + +class BaseStringValueConverter(ValueConverter): + """Converter for all string-based slots.""" + + primary_type: URIRef + allowed_types: Set[URIRef] + + def __init__( + self, + primary_type: URIRef = XSD.string, + allowed_types: Optional[List[URIRef]] = None, + ): + """Create a new instance. + + :param primary_type: The datatype used to represent the value in + RDF context, according to the SSSOM/RDF specification. A + value of `rdfs:Resource` means the value is represented as + a named resource (IRI) rather than as a literal. + :param allowed_types: Additional RDF types that are acceptable + to represent the value in RDF context. + """ + self.primary_type = primary_type + if allowed_types is not None: + self.allowed_types = set(allowed_types) + else: + self.allowed_types = set() + + @override + def from_rdf(self, obj: Node) -> str: + """Convert a RDF node into a string-based value.""" + if isinstance(obj, URIRef) and ( + self.primary_type == RDFS.Resource or RDFS.Resource in self.allowed_types + ): + return str(obj) + elif isinstance(obj, Literal): + # A "naked" literal is a xsd:string literal + datatype = obj.datatype or XSD.string + if datatype == self.primary_type or datatype in self.allowed_types: + return str(obj.value) + + if self.primary_type == RDFS.Resource: + msg = "Invalid node type (named resource expected)" + else: + msg = f"Invalid node type ({self.primary_type} literal expected)" + raise ValueError(msg) + + @override + def to_rdf(self, value: str) -> Node: + """Convert a string-based value into a RDF node.""" + if self.primary_type == RDFS.Resource: + return URIRef(value) + elif self.primary_type == XSD.string: + # Datatype is not needed for a xsd:string + return Literal(value) + else: + return Literal(value, datatype=self.primary_type) + + +class StringValueConverter(BaseStringValueConverter): + """Converter for string-typed slots. + + A string-typed slot is quite naturally represented by a string + literal. However, for compatibility with the LinkML-based loader, + we also accept a named resource when converting from RDF. + """ + + def __init__(self) -> None: + """Create a new instance.""" + super().__init__(allowed_types=[RDFS.Resource]) + + +class NonRelativeURIValueConverter(BaseStringValueConverter): + """Converter for SSSOM URI-typed slots. + + As par the SSSOM/RDF specification, a URI-typed slot is represented + as a named RDF resource. However when converting from RDF, we also + accept (1) `xsd:anyURI` literals (as recommended by the spec) and + (2) `xsd:string` literals (for compatibility with the LinkML-based + loader). + """ + + def __init__(self) -> None: + """Create a new instance.""" + super().__init__(primary_type=RDFS.Resource, allowed_types=[XSD.string, XSD.anyURI]) + + +class EntityReferenceValueConverter(BaseStringValueConverter): + """Converter for EntityReference-typed slots. + + Entity references are represented as named resources in RDF, but we + also accept string literals for backwards compatibility. + + Importantly, throughout SSSOM-Py entity references are expected to + be stored in CURIE form, so this converter must take care of + compressing the values when converting from RDF and conversely + expanding them when converting to RDF. + """ + + ccp: CurieConverterProvider + + def __init__(self, ccp: CurieConverterProvider): + """Create a new instance. + + :param ccp: An object that shall provide the CURIE converter to + use for CURIE expansion/contraction. + """ + super().__init__(primary_type=RDFS.Resource, allowed_types=[XSD.string]) + self.ccp = ccp + + @override + def from_rdf(self, obj: Node) -> str: + """Convert a RDF node into an entity reference value.""" + value = super().from_rdf(obj) + return self.ccp().compress(value, passthrough=True) + + @override + def to_rdf(self, value: str) -> Node: + """Convert an entity reference value into a RDF node.""" + value = self.ccp().expand(value, passthrough=True) + return super().to_rdf(value) + + +class DateValueConverter(ValueConverter): + """Converter for date-typed slots. + + Date-typed slots are represented in RDF as ISO-formatted `xsd:date` + literals. + """ + + @override + def from_rdf(self, obj: Node) -> date: + """Convert a RDF node into a SSSOM date value.""" + if isinstance(obj, Literal) and obj.datatype == XSD.date: + # RDFLib guarantees us to return a date + return cast(date, obj.toPython()) + + raise ValueError("Invalid node type (xsd:date literal expected)") + + @override + def to_rdf(self, value: Union[str, date]) -> Node: + """Convert a SSSOM date value into a RDF node.""" + if isinstance(value, date): + return Literal(value, datatype=XSD.date) + else: + # Let's just hope the value is already in the shape + # of an ISO-formatted date... + return Literal(str(value), datatype=XSD.date) + + +class DoubleValueConverter(ValueConverter): + """Converter for double-typed slots. + + Double-typed slots are represented in RDF as `xsd:double` literals. + """ + + @override + def from_rdf(self, obj: Node) -> float: + """Convert a RDF node into a SSSOM double value.""" + if isinstance(obj, Literal) and obj.datatype == XSD.double: + # RDFLib guarantees us to return a float + return cast(float, obj.toPython()) + + raise ValueError("Invalid node type (xsd:double expected)") + + @override + def to_rdf(self, value: float) -> Node: + """Convert a SSSOM double value into a RDF node.""" + return Literal(value, datatype=XSD.double) + + +class EnumValueConverter(ValueConverter): + """Converter for enum-typed slots. + + An enum value is represented in RDF as a named resource if the value + is defined (in the LinkML model) as having a `meaning` IRI, or as a + string literal otherwise. + + When parsing, even if the value does have a `meaning` IRI we accept + both the named resource form and the string literal form. + """ + + allowed_values: Set[str] + values_by_uri: Dict[URIRef, str] + uris_by_value: Dict[str, URIRef] + + def __init__(self, schema: SchemaView, name: str): + """Create a new instance. + + :param schema: The SSSOM LinkML schema. + :param name: The name of the enum type. + """ + self.values_by_iri = {} + self.uris_by_value = {} + + definition = schema.get_enum(name) + self.allowed_values = set(definition.permissible_values.keys()) + for k, v in definition.permissible_values.items(): + if v.meaning is not None: + uri = URIRef(schema.expand_curie(v.meaning)) + self.values_by_iri[uri] = k + self.uris_by_value[k] = uri + + @override + def from_rdf(self, obj: Node) -> Any: + """Convert a RDF node into a SSSOM enum value.""" + if isinstance(obj, URIRef): + value = self.values_by_iri.get(obj) + if value is None: + raise ValueError(f"Invalid enum value {obj}") + return value + elif isinstance(obj, Literal): + if obj.datatype is None or obj.datatype == XSD.string: + if obj.value not in self.allowed_values: + raise ValueError(f"Invalid enum value {obj}") + return obj.value + + raise ValueError("Invalid node type (IRI or string literal expected)") + + @override + def to_rdf(self, value: Any) -> Node: + """Convert a SSSOM enum value into a RDF node.""" + # Make sure we have a _text_ value, regardless what the rest of + # SSSOM-Py can give us... + value = str(value) + uri = self.uris_by_value.get(value) + if uri is not None: + return uri + else: + # We do _not_ check whether the value is a valid value for + # the enum. If it is not, then something wrong happened + # upstream of us (a set was constructed or accepted with + # invalid values) and it's not up to us to deal with the + # the fallout. + return Literal(value) + + +class ValueConverterFactory(object): + """Helper object to create value converters.""" + + constructors: Dict[str, Type[ValueConverter]] + + def __init__(self) -> None: + """Create a new instance.""" + self.constructors = { + "date": DateValueConverter, + "double": DoubleValueConverter, + "string": StringValueConverter, + "ncname": StringValueConverter, + "EntityReference": EntityReferenceValueConverter, + "uriorcurie": EntityReferenceValueConverter, + "NonRelativeURI": NonRelativeURIValueConverter, + } + + def create( + self, range_name: str, schema: SchemaView, ccp: CurieConverterProvider + ) -> Optional[ValueConverter]: + """Create a new value converter. + + :param range_name: The range for which a value converter is + wanted. + :param schema: The SSSOM LinkML schema. + :param ccp: The object that will provide the CURIE converter to + use, for the value converters that need one. + + :returns: A suitable value converter for the range. May be None + if the range is not a scalar range. + """ + if schema.get_class(range_name) is not None: + # This range is for objects, not scalar values + return None + + if range_name.endswith("_enum"): + return EnumValueConverter(schema, range_name) + + ctor = self.constructors.get(range_name) + if ctor == EntityReferenceValueConverter: + # CURIE provider needed + return EntityReferenceValueConverter(ccp) + elif ctor is not None: + return ctor() + else: + # This should only happen if a brand new type of slot has + # been introduced in the SSSOM schema + raise NotImplementedError(f"Range {range_name} is not supported") + + +class ObjectConverter(object): + """Base class for conversion of SSSOM objects to and from RDF. + + One instance of this class will handle the (de)serialisation of one + particular type of object (e.g. MappingSet, Mapping). + + The base class implements the logic that is common to all types of + objects. It should be subclassed for objects that require specific + logic. + """ + + name: str + """The name of the SSSOM class whose conversion is handled by this + object.""" + + object_uri: URIRef + """The URI representing the SSSOM class in RDF context.""" + + slots_by_name: Dict[str, SlotDefinition] + """All the valid slots for the class, addressed by their names.""" + + slots_by_uri: Dict[URIRef, SlotDefinition] + """All the valid slots for the class, addressed by the URIs that + represent them in RDF context.""" + + value_converters: Dict[str, ValueConverter] + """All the value converters used to convert slot values to/from RDF, + addressed by slot range.""" + + schema: SSSOMSchemaView + """Helper object to access information from the SSSOM schema.""" + + ccp: CurieConverterProvider + """The object to call when CURIE expansion/contraction is needed.""" + + def __init__(self, class_name: str, ccp: CurieConverterProvider): + """Create a new instance for a class of objects. + + :param class_name: The name of the SSSOM class of objects to + convert. + :param ccp: A callable object that shall provide a CURIE + converter on demand. + """ + self.schema = SSSOMSchemaView() + self.ccp = ccp + + # Prepare the slot tables... + self.slots_by_name = {} + self.slots_by_uri = {} + ranges: List[SlotDefinition] = [] + for slot in self.schema.view.class_induced_slots(class_name): + self.slots_by_name[slot.name] = slot + self.slots_by_uri[self._get_slot_uri(slot)] = slot + ranges.append(slot.range) + + # ... and the scalar converters table + self.value_converters = {} + factory = ValueConverterFactory() + for rng in set(ranges): + vc = factory.create(rng, self.schema.view, ccp) + if vc is not None: + self.value_converters[rng] = vc + + # The name and URI of the class + self.name = self._fix_class_name(class_name) + object_class = self.schema.view.get_class(class_name) + if object_class.class_uri is not None: + self.object_uri = URIRef(self.schema.view.expand_curie(object_class.class_uri)) + else: + self.object_uri = URIRef(self.name, SSSOM_URI_PREFIX) + + # + # Conversion from RDF + # + + def dict_from_rdf( + self, g: Graph, subject: Node, dest: Optional[Dict[str, Any]] = None + ) -> Dict[str, Any]: + """Parse a SSSOM object from a RDF node. + + Given a RDF node representing a SSSOM object, this method + constructs a dictionary from all the triples where the node is + the subject. + + :param g: The graph to parse the object from. + :param subject: The root node of the object to extract. + :param dest: The dictionary into which the parsed object will be + stored, if specified. Client code may use this argument to + provide a "pre-filled" dictionary with default values. If + not provided, a new empty dictionary will be used instead. + + :returns: A dictionary representing the SSSOM object, where keys + are the slot names. This will be the same dictionary as the + `dest` argument, if present. + + :raises ValueError: If the contents of the RDF graph does not + represent a valid SSSOM object. + """ + if dest is None: + dest = {} + self._init_dict_from_rdf(g, subject, dest) + + for pred, obj in g.predicate_objects(subject): + pred = cast(URIRef, pred) + if pred == RDF.type: + if obj != self.object_uri: + raise ValueError(f"Invalid type {obj} for a {self.name} object") + continue + + if self._process_triple(g, cast(TRIPLE, [subject, pred, obj]), dest): + continue + + slot = self.slots_by_uri.get(pred) + if slot is not None: + try: + value = self._get_value_converter(slot).from_rdf(obj) + except ValueError as e: + raise ValueError(f"Invalid value for {slot.name}", e) + if slot.multivalued: + self._multivalue_from_rdf(value, slot.name, dest) + else: + dest[slot.name] = value + elif not self._extension_from_rdf(cast(TRIPLE, [subject, pred, obj]), dest): + logging.warning(f"Ignoring unexpected triple {subject} {pred} {obj}") + + return dest + + # Helper methods for conversion from RDF + + def _init_dict_from_rdf(self, g: Graph, subject: Node, dest: Dict[str, Any]) -> None: + """Initialize a dictionary representing a parsed object. + + This method is used to check that the subject node is of a + suitable type for the object to be parsed. Subclasses may + override it to alter the check as needed and also to perform + any additional specific operations at the beginning of the + conversion. + + :param g: The graph to parse the object from. + :param subject: The root node of the object to extract. + :param dest: The dictionary in which to store the parsed object. + + :raises ValueError: If the provided root node is not suitable + for the type of object to extract. + """ + if not isinstance(subject, BNode): + raise ValueError(f"Invalid node type for a {self.name} object") + + def _process_triple(self, g: Graph, triple: TRIPLE, dest: Dict[str, Any]) -> bool: + """Process an individual triple associated with a SSSOM object. + + This method is intended to allow subclasses to implement custom + processing of some RDF triples, before letting the triple being + handled by the common logic in the `dict_from_rdf` method. + + :param g: The graph to parse the object from. + :param triple: The triple to process. + :param dest: The dictionary in which to store the parsed object. + + :returns: True if the triple has been processed successfully, or + False to let the triple be handed by the common logic. + """ + return False + + def _extension_from_rdf(self, triple: TRIPLE, dest: Dict[str, Any]) -> bool: + """Process a triple that may represent an extension slot. + + :param triple: The triple to process. + :param dest: The dictionary in which to store the parsed object. + + :returns: True if the triple does represent a valid extension + slot, False otherwise. + """ + # FIXME: Not implemented yet, ignore all for now + return False + + def _multivalue_from_rdf(self, value: Any, slot_name: str, dest: Dict[str, Any]) -> None: + """Store a single value into a multi-valued slot. + + Subclasses should override this method if the object for which + they are intended does not represent multi-valued slots as a + simple list. + + :param value: The value to store. + :param slot_name: The name of the slot the value is for. + :param dest: The dictionary in which to store the parsed object. + """ + if slot_name not in dest: + dest[slot_name] = [value] + else: + dest[slot_name].append(value) + + # + # Conversion to RDF + # + + def dict_to_rdf(self, g: Graph, obj: DICT_OR_SERIES) -> Node: + """Export a SSSOM object to a RDF graph. + + :param g: The graph to export the object to. + :param obj: The dictionary representing the SSSOM object to + export. + + :returns: The root node representing the exporting object. + """ + subject = self._init_dict_to_rdf(g, obj) + g.add(cast(TRIPLE, [subject, RDF.type, self.object_uri])) + + for k, v in obj.items(): + key = str(k) + if self._process_slot(g, subject, key, v): + continue + + slot = self.slots_by_name.get(key) + if slot is not None: + pred = self._get_slot_uri(slot) + converter = self._get_value_converter(slot) + if slot.multivalued: + for value in self._get_multi_values(v): + if not self._is_empty(value): + o = converter.to_rdf(value) + g.add(cast(TRIPLE, [subject, pred, o])) + else: + if not self._is_empty(v): + g.add(cast(TRIPLE, [subject, pred, converter.to_rdf(v)])) + elif not self._extension_to_rdf(g, subject, key, v): + logging.warning(f"Ignoring unexpected {key}={v} slot") + + return subject + + # Helper methods for conversion to RDF + + def _is_empty(self, value: Any) -> bool: + """Check is value is an empty value. + + This method is mostly a hack to cope with the fact that "empty" + values are not properly represented as such in the data frame + part of a MSDF (apart for double-typed slots). + + :param value: The value to check. + + :returns: True if the value is empty. + """ + return value is None or (hasattr(value, "__len__") and len(value) == 0) + + def _init_dict_to_rdf(self, g: Graph, obj: DICT_OR_SERIES) -> Node: + """Create the root node representing a SSSOM object. + + Subclasses should override this method to customize the way + their SSSOM object is represented in RDF. The default bhaviour + is to represent the object as a blank node. + """ + return BNode() + + def _process_slot(self, g: Graph, subject: Node, name: str, value: Any) -> bool: + """Process an individual slot for RDF export. + + This method is intended to allow subclasses to implement custom + processing to export some SSSOM slots, before letting the slot + being handled by the common logic in the `dict_to_rdf` method. + + :param g: The graph the object is exported to. + :param subject: The node representing the exported object. + :param name: The name of the slot to process. + :param value: The value of the slot: + + :returns: True if the slot has been processed successfully, or + False to let the slot be handled by the common logic. + """ + return False + + def _extension_to_rdf(self, g: Graph, subject: Node, name: str, value: Any) -> bool: + """Export an extension slot to RDF. + + :param g: The graph to export to. + :param subject: The node representing the exported object. + :param name: The name of the extension slot. + :param value: The value of the extension slot. + + :returns: True if `name` is the name of a valid extension, + otherwise False. + """ + # FIXME: Not implemented yet, ignore all for now + return False + + def _get_multi_values(self, value: Any) -> List[Any]: + """Get the values of a multi valued slot as a list. + + Subclasses should override this method if their object does not + represent multi-valued slots as a simple list. + + :param value: The object representing the value of a multivalued + slot. + + :returns: The list of values. + """ + if not isinstance(value, list): + # Should not really happen (the value of a multi-valued slot + # should always be a list, even if it has only one value), + # but just in case + return [value] + else: + return value + + # + # Other helper methods + # + + def _get_value_converter(self, slot: SlotDefinition) -> ValueConverter: + """Get the value converter for a given slot. + + :param slot: The slot for which to convert value. + + :returns: A value converter suitable to convert a RDF node into + a SSSOM slot value, or a SSSOM slot value into a RDF node. + """ + converter = self.value_converters.get(slot.range) + if converter is None: + # This should have been caught already at init time by the + # ValueConverterFactory + raise NotImplementedError(f"Unsupported range {slot.range} for {slot.name}") + return converter + + def _get_slot_uri(self, slot: SlotDefinition) -> URIRef: + """Get the URI that represents a SSSOM slot. + + A SSSOM slot is represented by a property whose URI is either + explicitly defined in the LinkML model (in which case it is + available in the `slot_uri` field of the slot definition), or + constructed as `sssom:slot_name`. + + :param slot: The slot definition. + + :returns: The URI that represents the slot in RDF context. + """ + if slot.slot_uri is not None: + return URIRef(self.schema.view.expand_curie(slot.slot_uri)) + else: + return URIRef(slot.name, SSSOM_URI_PREFIX) + + def _fix_class_name(self, name: str) -> str: + """Transform a LinkML class name. + + The SSSOM LinkML schema defines its classes with lower-case, + space-containing names, which must be transformed into + Pascal-cased names (e.g. `mapping set` becomes `MappingSet`). + There does not seem to be a way to obtain the transformed name + from the SSSOMSchemaView object (or any other LinkML object), + so we do the transformation here. + + :param name: The original name of a LinkML-defined class. + + :returns: The Pascal-case form of the name. + """ + fixed: List[str] = [] + upper = True + for _, c in enumerate(name): + if c == " ": + upper = True + elif upper: + fixed.append(c.upper()) + upper = False + else: + fixed.append(c) + return "".join(fixed) + + +class MappingSetRDFConverter(ObjectConverter): + """Helper class to convert mapping sets to/from RDF. + + Use this class to deserialise a mapping set from a RDF graph into a + MappingSetDataFrame object:: + + from rdflib import Graph + + g = Graph().parse("my_set.sssom.ttl") + rdf_converter = MappingSetRDFConverter() + msdf = rdf_converter.msdf_from_rdf(g) + + or to serialise a MappingSetDataFrame into a RDF graph:: + + g = rdf_converter().msdf_to_rdf(msdf) + g.serialize("my_set.sssom.ttl") + + """ + + mapping_converter: ObjectConverter + extension_definition_converter: ObjectConverter + curie_converter: Converter + hydrate: bool + + def __init__(self, hydrate: bool = False): + """Create a new instance. + + :param hydrate: Default value for the `hydrate` parameter of the + `msdf_to_rdf` method. + """ + super().__init__("mapping set", self.get_curie_converter) + self.mapping_converter = MappingConverter(self.get_curie_converter) + self.extension_definition_converter = ObjectConverter( + "extension definition", self.get_curie_converter + ) + self.hydrate = hydrate + self.curie_converter = Converter() + + def get_curie_converter(self) -> Converter: + """Provide the current CURIE converter.""" + return self.curie_converter + + # + # Conversion from RDF + # + + def msdf_from_rdf( + self, g: Graph, cc: Optional[Converter] = None, meta: Optional[Dict[str, Any]] = None + ) -> MappingSetDataFrame: + """Extract a MappingSetDataFrame from a RDF graph. + + This is the main method intended for use by client code for RDF + parsing. + + :param g: The graph to parse from. + :param cc: The CURIE converter to use for all CURIE expansion + or contraction operations. If not specified, a converter + based on the namespaces declared within the graph will be + used instead. This is the converter that will be associated + with the returned MappingSetDataFrame object. + :param meta: Default metadata to use, if any. + + :returns: The first MappingSetDataFrame found in the graph. + """ + if cc is None: + cc = Converter.from_rdflib(g) + self.curie_converter = cc + + sets = [s for s in g.subjects(RDF.type, self.object_uri)] + if len(sets) == 0: + raise Exception("No mapping set in graph") + elif len(sets) > 1: + logging.warning("More than one mapping set in graph, ignoring supernumerary sets") + + meta = self.dict_from_rdf(g, sets[0], dest=meta) + if MAPPINGS in meta: + # dict_from_rdf returns a dictionary containing everything, + # including the mappings. We must take the mappings out and + # turn them into a data frame instead. + mappings = meta.pop(MAPPINGS) + df = sort_df_rows_columns(DataFrame(m for m in mappings)) + else: + # Empty set? + df = DataFrame() + + return MappingSetDataFrame.with_converter(df=df, metadata=meta, converter=cc) + + @override + def _init_dict_from_rdf(self, g: Graph, subject: Node, dest: Dict[str, Any]) -> None: + # A mapping set can (and in fact *should*) be represented by a + # named resource, which is then interpreted as the value of the + # MAPPING_SET_ID slot. + if isinstance(subject, URIRef): + dest[MAPPING_SET_ID] = str(subject) + elif not isinstance(subject, BNode): + raise ValueError("Invalid node type for a MappingSet object") + + # Extension definitions should be processed early on, so that we + # have them at hand when we'll process the individual triples. + extension_definitions: List[Dict[str, Any]] = [] + for ed_node in g.objects(subject, EXTENSION_DEFINITION_IRI): + ed = self.extension_definition_converter.dict_from_rdf(g, ed_node) + extension_definitions.append(ed) + if len(extension_definitions) > 0: + dest[EXTENSION_DEFINITIONS] = extension_definitions + + @override + def _process_triple(self, g: Graph, triple: TRIPLE, dest: Dict[str, Any]) -> bool: + done = False + if triple[1] == MAPPINGS_IRI: + mapping = self.mapping_converter.dict_from_rdf(g, triple[2]) + if MAPPINGS not in dest: + dest[MAPPINGS] = [mapping] + else: + dest[MAPPINGS].append(mapping) + done = True + elif triple[1] == EXTENSION_DEFINITION_IRI: + # Already dealt with in the initialisation step + done = True + + return done + + # + # Conversion to RDF + # + + def msdf_to_rdf( + self, + msdf: MappingSetDataFrame, + g: Optional[Graph] = None, + cc: Optional[Converter] = None, + hydrate: Optional[bool] = None, + ) -> Graph: + """Export a MappingSetDataFrame into a RDF graph. + + This is the main method intended for use by client code for RDF + export. + + :param msdf: The MappingSetDataFrame to export. + :param g: The graph to export to. If not given a new graph will + be created. + :param cc: The CURIE converter to use for all CURIE expansion or + contraction operations. If not given, the converter bound to + the MappingSetDataFrame will be used instead. + :param hydrate: Whether to generate "direct triples" for each + mapping in the MappingSetDataFrame. + + :returns: The RDF graph with the exported MappingSetDataFrame. + This will be the same object as the `g` argument, if given. + """ + if g is None: + g = Graph() + self.curie_converter = cc or msdf.converter + for k, v in self.curie_converter.bimap.items(): + g.namespace_manager.bind(k, v) + if hydrate is None: + hydrate = self.hydrate + ms_node = self.dict_to_rdf(g, msdf.metadata) + for _, row in msdf.df.iterrows(): + self._mapping_to_rdf(g, ms_node, row, hydrate) + + return g + + @override + def _init_dict_to_rdf(self, g: Graph, obj: DICT_OR_SERIES) -> Node: + if MAPPING_SET_ID in obj: + return URIRef(obj[MAPPING_SET_ID]) + else: + return BNode() + + @override + def _process_slot(self, g: Graph, subject: Node, name: str, value: Any) -> bool: + done = False + if name == MAPPING_SET_ID: + # Already dealt with in the initialisation step + done = True + elif name == EXTENSION_DEFINITIONS: + for ed in value: + ed_node = self.extension_definition_converter.dict_to_rdf(g, ed) + g.add(cast(TRIPLE, [subject, EXTENSION_DEFINITION_IRI, ed_node])) + done = True + elif name == MAPPINGS: + # We don't really expect to have any mappings here, as the + # dict_to_rdf method is supposed to be called with only the + # metadata part of a MappingSetDataFrame. Still, we cover + # possibility, just in case. + for mapping in value: + self._mapping_to_rdf(g, subject, mapping, self.hydrate) + done = True + + return done + + def _mapping_to_rdf( + self, g: Graph, subject: Node, mapping: DICT_OR_SERIES, hydrate: bool + ) -> None: + mapping_node = self.mapping_converter.dict_to_rdf(g, mapping) + g.add(cast(TRIPLE, [subject, MAPPINGS_IRI, mapping_node])) + + if hydrate: + subject_id = mapping.get(SUBJECT_ID) + predicate_id = mapping.get(PREDICATE_ID) + object_id = mapping.get(OBJECT_ID) + + if ( + mapping.get(SUBJECT_TYPE) != ENTITY_TYPE_RDFS_LITERAL + and mapping.get(OBJECT_TYPE) != ENTITY_TYPE_RDFS_LITERAL + and mapping.get(PREDICATE_MODIFIER) != PREDICATE_MODIFIER_NOT + and subject_id is not None + and subject_id != NO_TERM_FOUND + and object_id is not None + and object_id != NO_TERM_FOUND + and predicate_id is not None + ): + subject_ref = URIRef(self.curie_converter.expand(subject_id)) + pred_ref = URIRef(self.curie_converter.expand(predicate_id)) + object_ref = URIRef(self.curie_converter.expand(object_id)) + g.add(cast(TRIPLE, [subject_ref, pred_ref, object_ref])) + + +class MappingConverter(ObjectConverter): + """Specialised class to (de)serialise Mapping objects.""" + + def __init__(self, ccp: CurieConverterProvider) -> None: + """Create a new instance.""" + super().__init__("mapping", ccp) + + @override + def _init_dict_from_rdf(self, g: Graph, subject: Node, dest: Dict[str, Any]) -> None: + # If the root node is a named resource, then it is interpreted + # as the RECORD_ID for the mapping. + if isinstance(subject, URIRef): + dest[RECORD_ID] = self.ccp().compress(str(subject), passthrough=True) + elif not isinstance(subject, BNode): + raise ValueError(f"Invalid node type for a {self.name} object") + + @override + def _multivalue_from_rdf(self, value: Any, slot_name: str, dest: Dict[str, Any]) -> None: + # Within the data frame part of a MappingSetDataFrame, a + # multivalued slot is expected to be represented as a single + # string containing |-separated values. + if slot_name not in dest: + dest[slot_name] = value + else: + dest[slot_name] = dest[slot_name] + "|" + value + + @override + def _init_dict_to_rdf(self, g: Graph, obj: DICT_OR_SERIES) -> Node: + if RECORD_ID in obj: + return URIRef(self.ccp().expand(obj[RECORD_ID])) + else: + return BNode() + + @override + def _get_multi_values(self, value: Any) -> List[Any]: + return cast(List[Any], value.split("|")) diff --git a/src/sssom/writers.py b/src/sssom/writers.py index 387496c1..345c31e2 100644 --- a/src/sssom/writers.py +++ b/src/sssom/writers.py @@ -18,7 +18,6 @@ TextIO, Tuple, Union, - cast, ) import pandas as pd @@ -27,17 +26,17 @@ from curies import Converter from deprecation import deprecated from jsonasobj2 import JsonObj -from linkml_runtime.dumpers import JSONDumper, rdflib_dumper -from linkml_runtime.utils.schemaview import SchemaView +from linkml_runtime.dumpers import JSONDumper from rdflib import Graph, URIRef from rdflib.namespace import OWL, RDF from sssom_schema import slots from sssom.validators import check_all_prefixes_in_curie_map -from .constants import CURIE_MAP, PREDICATE_MODIFIER_NOT, SCHEMA_YAML, SSSOM_URI_PREFIX, PathOrIO +from .constants import CURIE_MAP, PREDICATE_MODIFIER_NOT, SSSOM_URI_PREFIX, PathOrIO from .context import _load_sssom_context from .parsers import to_mapping_set_document +from .rdf_internal import MappingSetRDFConverter from .util import ( RDF_FORMATS, SSSOM_DEFAULT_RDF_SERIALISATION, @@ -372,16 +371,7 @@ def to_owl_graph(msdf: MappingSetDataFrame) -> Graph: def to_rdf_graph(msdf: MappingSetDataFrame, *, hydrate: bool = False) -> Graph: """Convert a mapping set dataframe to an RDF graph.""" - doc = to_mapping_set_document(msdf) - graph = rdflib_dumper.as_rdf_graph( - element=doc.mapping_set, - schemaview=SchemaView(SCHEMA_YAML), - # TODO Use msdf.converter directly via https://github.com/linkml/linkml-runtime/pull/278 - prefix_map=msdf.converter.bimap, - ) - if hydrate: - _hydrate_axioms(graph, add_no_term_found=False, add_negative=False) - return cast(Graph, graph) + return MappingSetRDFConverter().msdf_to_rdf(msdf, hydrate=hydrate) EXAMPLE_SPARQL_QUERY = """\ diff --git a/tests/data/pre-standard-rdf.ttl b/tests/data/pre-standard-rdf.ttl new file mode 100644 index 00000000..c82869c3 --- /dev/null +++ b/tests/data/pre-standard-rdf.ttl @@ -0,0 +1,26 @@ +@prefix COMENT: . +@prefix ORGENT: . +@prefix dcterms: . +@prefix owl: . +@prefix semapv: . +@prefix skos: . +@prefix sssom: . +@prefix xsd: . + +[] a sssom:MappingSet; + dcterms:issued "2025-10-28"^^xsd:date; + dcterms:license "https://creativecommons.org/licenses/by/4.0/"^^xsd:anyURI; + sssom:mapping_set_id "https://example.org/sets/standard-rdf"^^xsd:anyURI; + sssom:mappings [ a owl:Axiom; + dcterms:created "2025-10-27"^^xsd:date; + owl:annotatedProperty skos:closeMatch; + owl:annotatedSource ORGENT:0001; + owl:annotatedTarget COMENT:0011; + sssom:confidence 7.0E-1; + sssom:mapping_cardinality "1:1"; + sssom:mapping_justification semapv:ManualMappingCuration; + sssom:object_label "alpha"; + sssom:predicate_modifier "Not"; + sssom:subject_label "alice"; + sssom:subject_type "owl class" + ] . diff --git a/tests/data/record-id-as-node.ttl b/tests/data/record-id-as-node.ttl new file mode 100644 index 00000000..a528c192 --- /dev/null +++ b/tests/data/record-id-as-node.ttl @@ -0,0 +1,19 @@ +@prefix COMENT: . +@prefix ORGENT: . +@prefix dcterms: . +@prefix mymaps: . +@prefix owl: . +@prefix semapv: . +@prefix skos: . +@prefix sssom: . +@prefix xsd: . + +mymaps:0001 a owl:Axiom; + owl:annotatedProperty skos:closeMatch; + owl:annotatedSource ORGENT:0001; + owl:annotatedTarget COMENT:0011; + sssom:mapping_justification semapv:ManualMappingCuration . + + a sssom:MappingSet; + dcterms:license ; + sssom:mappings mymaps:0001 . diff --git a/tests/data/standard-rdf.ttl b/tests/data/standard-rdf.ttl new file mode 100644 index 00000000..e40c1f8a --- /dev/null +++ b/tests/data/standard-rdf.ttl @@ -0,0 +1,25 @@ +@prefix COMENT: . +@prefix ORGENT: . +@prefix dcterms: . +@prefix owl: . +@prefix semapv: . +@prefix skos: . +@prefix sssom: . +@prefix xsd: . + + a sssom:MappingSet; + dcterms:issued "2025-10-28"^^xsd:date; + dcterms:license ; + sssom:mappings [ a owl:Axiom; + dcterms:created "2025-10-27"^^xsd:date; + owl:annotatedProperty skos:closeMatch; + owl:annotatedSource ORGENT:0001; + owl:annotatedTarget COMENT:0011; + sssom:confidence 7.0E-1; + sssom:mapping_cardinality "1:1"; + sssom:mapping_justification semapv:ManualMappingCuration; + sssom:object_label "alpha"; + sssom:predicate_modifier sssom:NegatedPredicate; + sssom:subject_label "alice"; + sssom:subject_type owl:Class + ] . diff --git a/tests/test_convert.py b/tests/test_convert.py index e1a15286..f8a40d21 100644 --- a/tests/test_convert.py +++ b/tests/test_convert.py @@ -126,7 +126,7 @@ def test_to_rdf_hydrated(self) -> None: "skos:exactMatch", "HP:0003348", SEMAPV.ManualMappingCuration.value, - "NOT", + "Not", ), ( "mesh:C563052", @@ -158,6 +158,8 @@ def test_to_rdf_hydrated(self) -> None: "UMLS": "https://uts.nlm.nih.gov/uts/umls/concept/", "mesh": "http://id.nlm.nih.gov/mesh/", "sssom": "https://w3id.org/sssom/", + "skos": "http://www.w3.org/2004/02/skos/core#", + "semapv": "https://w3id.org/semapv/vocab/", } ) msdf = MappingSetDataFrame(df, converter=converter) diff --git a/tests/test_parsers.py b/tests/test_parsers.py index 2f37f2e2..369f5d38 100644 --- a/tests/test_parsers.py +++ b/tests/test_parsers.py @@ -4,12 +4,13 @@ import json import math import os -import typing import unittest from collections import ChainMap +from datetime import date from pathlib import Path from tempfile import TemporaryDirectory from textwrap import dedent +from typing import Any, Dict, Union, cast, get_args from xml.dom import minidom import numpy as np @@ -18,7 +19,25 @@ from curies import Converter from rdflib import Graph -from sssom.constants import CURIE_MAP, get_default_metadata +from sssom.constants import ( + CONFIDENCE, + CURIE_MAP, + LICENSE, + MAPPING_CARDINALITY, + MAPPING_DATE, + MAPPING_JUSTIFICATION, + MAPPING_SET_ID, + OBJECT_ID, + OBJECT_LABEL, + PREDICATE_ID, + PREDICATE_MODIFIER, + PUBLICATION_DATE, + RECORD_ID, + SUBJECT_ID, + SUBJECT_LABEL, + SUBJECT_TYPE, + get_default_metadata, +) from sssom.context import SSSOM_BUILT_IN_PREFIXES, ensure_converter, get_converter from sssom.io import parse_file from sssom.parsers import ( @@ -29,6 +48,7 @@ from_sssom_dataframe, from_sssom_json, from_sssom_rdf, + parse_sssom_rdf, parse_sssom_table, split_dataframe_by_prefix, ) @@ -38,6 +58,19 @@ from tests.constants import test_out_dir +def assert_dict_contains( + test: unittest.TestCase, + expected_values: Dict[str, Any], + actual_values: Union[Dict[str, Any], pd.Series], +) -> None: + """Check that a dictionary contains expected values.""" + for k, v in expected_values.items(): + if isinstance(v, float): + test.assertTrue(np.isclose(v, actual_values[k])) + else: + test.assertEqual(v, actual_values[k]) + + class TestParse(unittest.TestCase): """A test case for parser functionality.""" @@ -277,6 +310,38 @@ def test_parse_sssom_rdf(self) -> None: f"{self.rdf_graph_file} has the wrong number of mappings.", ) + def test_parse_standard_and_old_style_rdf(self) -> None: + """Test parsing a RDF conforming to pre-standard and standard SSSOM/RDF serialisation.""" + msdf = parse_sssom_rdf(f"{test_data_dir}/standard-rdf.ttl") + self.assertEqual(msdf.metadata[MAPPING_SET_ID], "https://example.org/sets/standard-rdf") + self.assertEqual(msdf.metadata[LICENSE], "https://creativecommons.org/licenses/by/4.0/") + self.assertEqual(msdf.metadata[PUBLICATION_DATE], date(2025, 10, 28)) + expected_values = { + SUBJECT_ID: "ORGENT:0001", + OBJECT_ID: "COMENT:0011", + PREDICATE_ID: "skos:closeMatch", + MAPPING_JUSTIFICATION: "semapv:ManualMappingCuration", + SUBJECT_LABEL: "alice", + OBJECT_LABEL: "alpha", + SUBJECT_TYPE: "owl class", + MAPPING_CARDINALITY: "1:1", + PREDICATE_MODIFIER: "Not", + CONFIDENCE: 0.7, + MAPPING_DATE: date(2025, 10, 27), + } + assert_dict_contains(self, expected_values, cast(pd.Series, msdf.df.loc[0])) + + msdf = parse_sssom_rdf(f"{test_data_dir}/pre-standard-rdf.ttl") + self.assertEqual(msdf.metadata[MAPPING_SET_ID], "https://example.org/sets/standard-rdf") + self.assertEqual(msdf.metadata[LICENSE], "https://creativecommons.org/licenses/by/4.0/") + self.assertEqual(msdf.metadata[PUBLICATION_DATE], date(2025, 10, 28)) + assert_dict_contains(self, expected_values, cast(pd.Series, msdf.df.loc[0])) + + def test_parse_rdf_with_record_id(self) -> None: + """Test parsing a RDF file containing record IDs as named resources.""" + msdf = parse_sssom_rdf(f"{test_data_dir}/record-id-as-node.ttl") + self.assertEqual("mymaps:0001", msdf.df.loc[0][RECORD_ID]) + def test_parse_sssom_json(self) -> None: """Test parsing JSON.""" msdf = from_sssom_json( @@ -577,7 +642,7 @@ def test_split_df(self) -> None: sdf = pd.DataFrame(subrows, columns=columns) - for method in [None, *typing.get_args(SplitMethod)]: + for method in [None, *get_args(SplitMethod)]: with self.subTest(method=method): self.assert_msdf(msdf, sdf, method) diff --git a/tests/test_writers.py b/tests/test_writers.py index 526401c6..3780adf4 100644 --- a/tests/test_writers.py +++ b/tests/test_writers.py @@ -13,6 +13,7 @@ from sssom import MappingSetDataFrame from sssom.constants import ( CREATOR_ID, + MAPPING_JUSTIFICATION, OBJECT_ID, OBJECT_LABEL, PREDICATE_ID, @@ -203,13 +204,15 @@ def test_rdflib_endpoint(self) -> None: SUBJECT_ID, PREDICATE_ID, OBJECT_ID, - SEMAPV.ManualMappingCuration.value, + MAPPING_JUSTIFICATION, ] df = pd.DataFrame(rows, columns=columns) converter = curies.Converter.from_prefix_map( { "DOID": "http://purl.obolibrary.org/obo/DOID_", "UMLS": "https://uts.nlm.nih.gov/uts/umls/concept/", + "skos": "http://www.w3.org/2004/02/skos/core#", + "semapv": "https://w3id.org/semapv/vocab/", } ) msdf = MappingSetDataFrame(df, converter=converter)