def convert_and_write(cls, source_path: Path, output_path: Path) -> None:
"""Converts the given training data file and saves it to the output directory.
Args:
source_path: Path to the training data file.
output_path: Path to the output directory.
"""
from rasa.core.training.story_reader.yaml_story_reader import KEY_ACTIVE_LOOP
output_core_path = cls.generate_path_for_converted_training_data_file(
source_path, output_path
)
reader = MarkdownStoryReader(unfold_or_utterances=False)
writer = YAMLStoryWriter()
loop = asyncio.get_event_loop()
steps = loop.run_until_complete(reader.read_from_file(source_path))
if YAMLStoryWriter.stories_contain_loops(steps):
print_warning(
f"Training data file '{source_path}' contains forms. "
f"Any 'form' events will be converted to '{KEY_ACTIVE_LOOP}' events. "
f"Please note that in order for these stories to work you still "
f"need the 'FormPolicy' to be active. However the 'FormPolicy' is "
f"deprecated, please consider switching to the new 'RulePolicy', "
f"for which you can find the documentation here: {DOCS_URL_RULES}."
)
writer.dump(output_core_path, steps)
print_success(f"Converted Core file: '{source_path}' >> '{output_core_path}'.")
def _write_core_yaml(training_data_path: Path, output_path: Path,
source_path: Path) -> None:
reader = MarkdownStoryReader()
writer = YAMLStoryWriter()
loop = asyncio.get_event_loop()
steps = loop.run_until_complete(reader.read_from_file(training_data_path))
writer.dump(output_path, steps)
print_success(f"Converted Core file: '{source_path}' >> '{output_path}'.")