def from_ova(
cls,
obj: ova.Node,
nlp: t.Optional[t.Callable[[str], t.Any]] = None,
) -> t.Optional[SchemeNode]:
"""Generate SchemeNode object from OVA Node object."""
ova_type = obj["type"]
ova_scheme = obj["text"]
if ova_type in aif2scheme:
scheme = aif2scheme[t.cast(aif.SchemeType, ova_type)]
if scheme and (found_scheme :=
text2scheme[type(scheme)].get(ova_scheme)):
scheme = found_scheme
premise_descriptors = [
str(node_id)
for description, node_id in obj["descriptors"].items()
if not description.lower().startswith("s_conclusion")
]
timestamp = (dt.from_format(obj.get("date"), ova.DATE_FORMAT)
or pendulum.now())
return cls(
id=str(obj["id"]),
metadata=Metadata(timestamp, timestamp),
scheme=scheme,
premise_descriptors=premise_descriptors,
)
def from_aif(
cls,
obj: aif.Node,
nlp: t.Optional[t.Callable[[str], t.Any]] = None,
) -> t.Optional[SchemeNode]:
"""Generate SchemeNode object from AIF Node object."""
aif_type = obj["type"]
aif_scheme: str = obj.get("scheme", obj["text"])
if aif_type in aif2scheme:
scheme = aif2scheme[t.cast(aif.SchemeType, aif_type)]
# TODO: Handle formatting like capitalization, spaces, underscores, etc.
# TODO: Araucaria does not use spaces between scheme names
# aif_scheme = re.sub("([A-Z])", r" \1", aif_scheme)
if scheme and (found_scheme :=
text2scheme[type(scheme)].get(aif_scheme)):
scheme = found_scheme
timestamp = (dt.from_format(obj.get("timestamp"), aif.DATE_FORMAT)
or pendulum.now())
return cls(
id=obj["nodeID"],
metadata=Metadata(timestamp, timestamp),
scheme=scheme,
)
def from_ova(
cls, obj: ova.Analysis, nlp: t.Optional[t.Callable[[str], t.Any]]
) -> Resource:
return cls(
utils.parse(obj.get("plain_txt"), nlp),
obj.get("documentTitle"),
obj.get("documentSource"),
dt.from_format(obj.get("documentDate"), ova.DATE_FORMAT_ANALYSIS),
)
def from_ova(
cls,
obj: ova.Node,
nlp: t.Optional[t.Callable[[str], t.Any]] = None,
) -> AtomNode:
"""Generate AtomNode object from OVA Node object."""
timestamp = dt.from_format(obj.get("date"),
ova.DATE_FORMAT) or pendulum.now()
return cls(
id=str(obj["id"]),
metadata=Metadata(timestamp, timestamp),
text=utils.parse(obj["text"], nlp),
)
def from_aif(
cls,
obj: aif.Node,
nlp: t.Optional[t.Callable[[str], t.Any]] = None,
) -> AtomNode:
"""Generate AtomNode object from AIF Node object."""
timestamp = (dt.from_format(obj.get("timestamp"), aif.DATE_FORMAT)
or pendulum.now())
return cls(
id=obj["nodeID"],
metadata=Metadata(timestamp, timestamp),
text=utils.parse(obj["text"], nlp),
)
def from_ova(
cls,
obj: ova.Edge,
nodes: t.Mapping[str, Node],
) -> t.Optional[Edge]:
"""Generate Edge object from OVA Edge format."""
source_id = str(obj["from"]["id"])
target_id = str(obj["to"]["id"])
date = dt.from_format(obj.get("date"),
ova.DATE_FORMAT) or pendulum.now()
if source_id in nodes and target_id in nodes:
return cls(
id=utils.uuid(),
source=nodes[source_id],
target=nodes[target_id],
metadata=Metadata(date, date),
)
return None