def _parse_intent(self, intent_data: Dict[Text, Any]) -> None:
import rasa.shared.nlu.training_data.entities_parser as entities_parser
import rasa.shared.nlu.training_data.synonyms_parser as synonyms_parser
intent = intent_data.get(KEY_INTENT, "")
if not intent:
rasa.shared.utils.io.raise_warning(
f"Issue found while processing '{self.filename}': "
f"The intent has an empty name. "
f"Intents should have a name defined under the {KEY_INTENT} key. "
f"It will be skipped.",
docs=DOCS_URL_TRAINING_DATA,
)
return
examples = intent_data.get(KEY_INTENT_EXAMPLES, "")
intent_metadata = intent_data.get(KEY_METADATA)
for example, entities, metadata in self._parse_training_examples(
examples, intent):
plain_text = entities_parser.replace_entities(example)
synonyms_parser.add_synonyms_from_entities(plain_text, entities,
self.entity_synonyms)
self.training_examples.append(
Message.build(plain_text, intent, entities, intent_metadata,
metadata))
def _parse_item(self, line: Text) -> None:
"""Parses an md list item line based on the current section type."""
import rasa.shared.nlu.training_data.lookup_tables_parser as lookup_tables_parser # noqa: E501
import rasa.shared.nlu.training_data.synonyms_parser as synonyms_parser
from rasa.shared.nlu.training_data import entities_parser
match = re.match(item_regex, line)
if match:
item = match.group(1)
if self.current_section == INTENT:
parsed = entities_parser.parse_training_example(
item, self.current_title)
synonyms_parser.add_synonyms_from_entities(
parsed.get(TEXT), parsed.get("entities", []),
self.entity_synonyms)
self.training_examples.append(parsed)
elif self.current_section == SYNONYM:
synonyms_parser.add_synonym(item, self.current_title,
self.entity_synonyms)
elif self.current_section == REGEX:
self.regex_features.append({
"name": self.current_title,
"pattern": item
})
elif self.current_section == LOOKUP:
lookup_tables_parser.add_item_to_lookup_tables(
self.current_title, item, self.lookup_tables)
def test_add_synonyms_from_entities():
training_example = "I want to fly from Berlin to LA"
entities = [
{
"start": 19,
"end": 25,
"value": "Berlin",
"entity": "city",
"role": "to"
},
{
"start": 29,
"end": 31,
"value": "Los Angeles",
"entity": "city",
"role": "from",
},
]
result = {}
synonyms_parser.add_synonyms_from_entities(training_example, entities,
result)
assert result == {"LA": "Los Angeles"}
