def __init__(self,
syncon,
lemma,
positions,
type=None,
type_=None,
relevance=0,
attributes=[]):
"""Initialise the Entity object
To minimise the `abuse` of the Python `type` keyword, the
initialisation method also accepts `type_`. The former argument
is used when the initialisation is nested inside other
data-model classes. In these cases the __init__ receives a
dictionary containing `type` not `type_`, because that how the
response the server sends is defined. Otherwise when the object
can be directly initialised using the second alternative.
Again, to mitigate this name clash with the keyword the property
was suffixed with the underscore.
In the remote case a position dictionary is empty, the Position
is not initialised to prevent an error to be raised.
"""
self._syncon = syncon
self._positions = []
self._relevance = relevance
self._attributes = []
if not (type or type_):
raise MissingArgumentError("Missing required argument type")
self._type = (type_ or type)
self._lemma = lemma
if not isinstance(positions, list):
raise ETypeError(positions, list)
for position in positions:
if not isinstance(position, dict):
raise ETypeError(expected=dict, current=position)
if not position:
raise EValueError(position, "Entity.positions")
self._positions.append(Position(**position))
if not isinstance(attributes, list):
raise ETypeError(attributes, list)
for attr in attributes:
if not isinstance(attr, dict):
raise ETypeError(expected=dict, current=attr)
if not attr:
raise EValueError(attr, "Entity.attributes")
self._attributes.append(Attribute(**attr))
def __init__(self, tokens, start, end, type=None, type_=None):
"""Initialise the Phrase object
To minimise the `abuse` of the Python `type` keyword, the
initialisation method also accepts `type_`. The former argument
is used when the initialisation is nested inside other
data-model classes. In these cases the __init__ receives a
dictionary containing `type` not `type_`, because that how the
response the server sends is defined. Otherwise when the object
can be directly initialised using the second alternative.
Again, to mitigate this name clash with the keyword the
property was suffixed with the underscore.
In the remote case a token dictionary is empty, the Token is not
initialised to prevent an error to be raised.
"""
super().__init__(start=start, end=end)
if not (type or type_):
raise MissingArgumentError("Missing required argument type")
self._type = (type_ or type)
self._tokens = []
if not isinstance(tokens, list):
raise ETypeError(tokens, list)
for token in tokens:
if not isinstance(token, dict):
raise ETypeError(expected=list, current=token)
if not token:
raise EValueError(token, "Phrase.tokens")
self._tokens.append(Token(**token))
def __init__(self, verb, related=[]):
self._verb = {}
self._related = []
if not isinstance(verb, dict):
raise ETypeError(verb, dict)
if not verb:
raise EValueError(verb, "Relation.verb")
self._verb = Verb(**verb)
if not isinstance(related, list):
raise ETypeError(related, list)
for rel in related:
if not isinstance(rel, dict):
raise ETypeError(expected=dict, current=rel)
if not rel:
raise EValueError(rel, "Relation.related")
self._related.append(Related(**rel))
def __init__(self, description, languages):
self._description = description
self._languages = []
if not isinstance(languages, list):
raise ETypeError(languages, list)
for language in languages:
if not isinstance(language, dict):
raise ETypeError(expected=list, current=language)
if not language:
raise EValueError(language, "Iptc.languages")
self._languages.append(Language(**language))
def __init__(self, phrases, start, end):
super().__init__(start=start, end=end)
self._phrases = []
if not isinstance(phrases, list):
raise ETypeError(phrases, list)
for phrase in phrases:
if not isinstance(phrase, dict):
raise ETypeError(expected=dict, current=phrase)
if not phrase:
raise EValueError(phrase, "Sentence.phrase")
self._phrases.append(Phrase(**phrase))
def __init__(self, value, score, positions):
self._value = value
self._score = score
self._positions = []
if not isinstance(self._positions, list):
raise ETypeError(self._positions, list)
for position in positions:
if not isinstance(position, dict):
raise ETypeError(expected=dict, current=position)
if not position:
raise EValueError(position, "MainLemma.positions")
self._positions.append(Position(**position))
def __init__(self, name, fields):
self._name = name
self._fields = []
if not isinstance(fields, list):
raise ETypeError(fields, list)
for fld in fields:
if not isinstance(fld, dict):
raise ETypeError(expected=dict, current=fld)
if not fld:
raise EValueError(fld, "Template.fields")
self.fields.append(Field(**fld))
def __init__(self, namespace, taxonomy):
self._namespace = namespace
self._categories = []
if not isinstance(taxonomy, list):
raise ETypeError(taxonomy, list)
for txn in taxonomy:
if not isinstance(txn, dict):
raise ETypeError(expected=dict, current=txn)
if not txn:
raise EValueError(txn, "Taxonomy.taxonomy")
self._categories.append(Categories(**txn))
def __init__(
self,
namespace,
label,
hierarchy,
frequency,
score,
winner,
positions,
id=None,
id_=None,
):
"""Initialise the Category object
To minimise the `abuse` of the Python `type` id, the
initialisation method also accepts `id_`. The former argument
is used when the initialisation is nested inside other
data-model classes. In these cases the __init__ receives a
dictionary containing `type` not `id_`, because that how the
response the server sends is defined. Otherwise when the object
can be directly initialised using the second alternative.
Again, to mitigate this name clash with the reserved keyword
the property was suffixed with the underscore.
"""
if id is None and id_ is None:
raise MissingArgumentError("Missing required argument: id")
if id is not None:
self._id = id
else:
self._id = id_
self._namespace = namespace
self._label = label
self._hierarchy = hierarchy
self._frequency = frequency
self._score = score
self._winner = winner
self._positions = []
if not isinstance(positions, list):
raise ETypeError(list, positions)
for position in positions:
if not isinstance(position, dict):
raise ETypeError(dict, position)
if not position:
raise EValueError(position, "Category.positions")
self._positions.append(Position(**position))
def __init__(self, id, label="", categories=[]):
self._id = id
self._label = label
self._categories = []
if not isinstance(categories, list):
raise ETypeError(categories, list)
for ctg in categories:
if not isinstance(ctg, dict):
raise ETypeError(expected=dict, current=ctg)
if not ctg:
raise EValueError(ctg, "Category.categories")
self._categories.append(Categories(**ctg))
def __init__(self, name, value, positions=[]):
self._name = name
self._value = value
self._positions = []
if not isinstance(positions, list):
raise ETypeError(positions, list)
for position in positions:
if not isinstance(position, dict):
raise ETypeError(expected=dict, current=position)
if not position:
raise EValueError(position, "ExtractionField.positions")
self._positions.append(Position(**position))
def __init__(self, syncon, score, positions, lemma=""):
self._syncon = syncon
self._lemma = lemma
self._score = score
self._positions = []
if not isinstance(positions, list):
raise ETypeError(positions, list)
for position in positions:
if not isinstance(position, dict):
raise ETypeError(expected=dict, current=position)
if not position:
raise EValueError(position, "MainSyncon.positions")
self._positions.append(Position(**position))
def __init__(self, name, description, languages):
self._name = name
self._description = description
self._languages = []
if not isinstance(languages, list):
raise ETypeError(languages, list)
for lng in languages:
if not isinstance(lng, dict):
raise ETypeError(expected=dict, current=lng)
if not lng:
raise EValueError(lng, "Context.language")
self._languages.append(ContextLanguage(**lng))
def __init__(self, lemma, syncon, sentiment, items=[]):
self._lemma = lemma
self._syncon = syncon
self._sentiment = sentiment
self._items = []
if not isinstance(items, list):
raise ETypeError(items, list)
for itm in items:
if not isinstance(itm, dict):
raise ETypeError(expected=dict, current=itm)
if not itm:
raise EValueError(itm, "Sentiment.items")
self._items.append(Items(**itm))
def __init__(self, overall, negativity, positivity, items=[]):
self._overall = overall
self._negativity = negativity
self._positivity = positivity
self._items = []
if not isinstance(items, list):
raise ETypeError(items, list)
for itm in items:
if not isinstance(itm, dict):
raise ETypeError(expected=dict, current=itm)
if not itm:
raise EValueError(itm, "Sentiment.items")
self._items.append(Items(**itm))
def __init__(self, syncon, label, properties=[]):
self._syncon = syncon
self._label = label
self._properties = []
if not isinstance(properties, list):
raise ETypeError(properties, list)
for prop in properties:
if not isinstance(prop, dict):
import pdb
pdb.set_trace()
raise ETypeError(expected=dict, current=prop)
if not prop:
raise EValueError(prop, "Knowledge.properties")
self._properties.append(Property(**prop))
def __init__(self, namespace, template, fields):
if not template:
raise MissingArgumentError("Missing required argument: template")
self._template = template
self._namespace = namespace
self._fields = []
if not isinstance(fields, list):
raise ETypeError(list, fields)
for fld in fields:
if not isinstance(fld, dict):
raise ETypeError(dict, fld)
if not fld:
raise EValueError(fld, "Extraction.fields")
self._fields.append(ExtractionField(**fld))
def __init__(self, relation, text, lemma, syncon, phrase, relevance, related=[], type=None, type_=None):
self._relation = relation
self._text = text
self._lemma = lemma
self._syncon = syncon
self._phrase = phrase
self._relevance = relevance
self._type = type or type_
self._related = []
if not isinstance(related, list):
raise ETypeError(related, list)
for rel in related:
if not isinstance(rel, dict):
raise ETypeError(expected=dict, current=rel)
if not rel:
raise EValueError(rel, "Relation.related")
self._related.append(Related(**rel))
def __init__(self,
attribute,
lemma,
syncon,
type=None,
type_=None,
attributes=[]):
self._attribute = attribute
self._lemma = lemma
self._syncon = syncon
self._type = type_ or type
self._attributes = []
if not isinstance(attributes, list):
raise ETypeError(attributes, list)
for attr in attributes:
if not isinstance(attr, dict):
raise ETypeError(expected=dict, current=attr)
if not attr:
raise EValueError(attr, "Entity.attributes")
self._attributes.append(Attribute(**attr))
def __init__(
self,
start,
end,
syncon,
pos,
lemma,
dependency,
paragraph,
sentence,
phrase,
atoms=[],
morphology=None,
vsyn=None,
type=None,
type_=None,
):
"""Initialise the Property object
To minimise the `abuse` of the Python `type` keyword, the
initialisation method also accepts `type_`. The former argument
is used when the initialisation is nested inside other
data-model classes. In these cases the __init__ receives a
dictionary containing `type` not `type_`, because that how the
response the server sends is defined. Otherwise when the object
can be directly initialised using the second alternative.
Again, to mitigate this name clash with the reserved keyword
the property was suffixed with the underscore.
"""
super().__init__(start=start, end=end)
self._syncon = syncon
# by default if only one value is passed, it is considered
# to be the key
self._pos = pos
self._lemma = lemma
self._atoms = []
self._vsyn = None
if not isinstance(dependency, dict):
raise ETypeError(dependency, dict)
if not dependency:
raise EValueError(dependency, "Token.dependency")
self._dependency = Dependency(**dependency)
self._morphology = morphology
self._paragraph = paragraph
self._sentence = sentence
self._phrase = phrase
self._type = type or type_
if not isinstance(atoms, list):
raise ETypeError(list, atoms)
for atom in atoms:
if not isinstance(atom, dict):
raise ETypeError(dict, atom)
if not atom:
raise EValueError(atom, "Token.atom")
self._atoms.append(Atom(**atom))
if vsyn:
if not isinstance(vsyn, dict):
raise ETypeError(dict, vsyn)
self._vsyn = VSyncon(**vsyn)