rasa.core.training.structures

Checkpoint Objects

filter_trackers

filter_trackers(trackers: List[DialogueStateTracker]) -> List[DialogueStateTracker]

Filters out all trackers that do not satisfy the conditions.

StoryStep Objects

explicit_events

explicit_events(domain: Domain, should_append_final_listen: bool = True) -> List[Union[Event, List[Event]]]

Returns events contained in the story step including implicit events.

Story Objects

from_events

@staticmethod
from_events(events: List[Event], story_name: Optional[Text] = None) -> "Story"

Create a story from a list of events.

StoryGraph Objects

ordered_steps

ordered_steps() -> List[StoryStep]

Returns the story steps ordered by topological order of the DAG.

cyclic_edges

cyclic_edges() -> List[Tuple[Optional[StoryStep], Optional[StoryStep]]]

Returns the story steps ordered by topological order of the DAG.

overlapping_checkpoint_names

@staticmethod
overlapping_checkpoint_names(cps: List[Checkpoint], other_cps: List[Checkpoint]) -> Set[Text]

Find overlapping checkpoints names.

with_cycles_removed

with_cycles_removed() -> "StoryGraph"

Create a graph with the cyclic edges removed from this graph.

get

get(step_id: Text) -> Optional[StoryStep]

Looks a story step up by its id.

as_story_string

as_story_string() -> Text

Convert the graph into the story file format.

order_steps

@staticmethod
order_steps(story_steps: List[StoryStep]) -> Tuple[deque, List[Tuple[Text, Text]]]

Topological sort of the steps returning the ids of the steps.

topological_sort

@staticmethod
topological_sort(graph: Dict[Text, Set[Text]]) -> Tuple[deque, List[Tuple[Text, Text]]]

Creates a top sort of a directed graph. This is an unstable sorting!

is_empty

is_empty() -> bool

Checks if StoryGraph is empty.