791aee867bb9fdc51756074e2f2117c11c843fde,rasa/shared/nlu/training_data/formats/readerwriter.py,TrainingDataWriter,generate_message,#Any#,75

Before Change

        // format (e.g. `/greet{"name": "Rasa"}) and we don"t have to add the NLU
        // entity annotation
        if not text.startswith(INTENT_MESSAGE_PREFIX):
            entities = sorted(message.get("entities", []), key=lambda k: k["start"])

            for entity in entities:
                md += text[pos : entity["start"]]
                md += TrainingDataWriter.generate_entity(text, entity)

After Change

            entities_with_start_and_end = [
                e for e in entities if "start" in e and "end" in e
            ]
            sorted_entities = sorted(
                entities_with_start_and_end, key=operator.itemgetter("start")
            )

            for entity in sorted_entities:
                md += text[pos : entity["start"]]
                md += TrainingDataWriter.generate_entity(text, entity)
                pos = entity["end"]

        md += text[pos:]

        return md

Instances