def to_training_sentences(self, from_state: str) -> None:
"""Transition to training_sentences state."""
# Use doit to train
saved_argv = sys.argv
try:
# Store doit database in profile directory
sys.argv = [
sys.argv[0],
"--db-file",
str(self.profile.write_path(".doit.db")),
]
train_profile(Path(self.profile.read_path()), self.profile)
self.transition("training_intent")
intent_fst_path = self.profile.read_path(
self.profile.get("intent.fsticuffs.intent_fst", "intent.fst"))
intent_fst = fst.Fst.read(str(intent_fst_path))
self.send(self.intent_trainer, TrainIntent(intent_fst))
except Exception as e:
self.transition("ready")
self.send(self.training_receiver, ProfileTrainingFailed(str(e)))
finally:
# Restore sys.argv
sys.argv = saved_argv
def to_training_sentences(self, from_state: str) -> None:
"""Transition to training_sentences state."""
# Use doit to train
saved_argv = sys.argv
try:
# Store doit database in profile directory
sys.argv = [
sys.argv[0],
"--db-file",
str(self.profile.write_path(".doit.db")),
]
code, errors = train_profile(Path(self.profile.read_path()), self.profile)
if code != 0:
raise Exception("\n".join(errors))
self.transition("training_intent")
intent_graph_path = self.profile.read_path(
self.profile.get("intent.fsticuffs.intent_graph", "intent.json")
)
with open(intent_graph_path, "r") as graph_file:
json_graph = json.load(graph_file)
intent_graph = rhasspynlu.json_to_graph(json_graph)
self.send(self.intent_trainer, TrainIntent(intent_graph))
except Exception as e:
self.transition("ready")
self.send(self.training_receiver, ProfileTrainingFailed(str(e)))
finally:
# Restore sys.argv
sys.argv = saved_argv