Hello everyone. Now, I have a rasa app and it works really well. However, I want to train more data for my chatbot using API (maybe using a custom channel). Specifically, I will send files like: nlu, story, domain via the API and will replace the old data files . And then call the API to activate the train command again.
I have a custom channel like this:
class MyBOT(InputChannel):
def name(cls) -> Text:
"""Name of your custom channel."""
return "mybot"
def blueprint(
self, on_new_message: Callable[[UserMessage], Awaitable[None]]
) -> Blueprint:
custom_webhook = Blueprint(
"custom_webhook_{}".format(type(self).__name__),
inspect.getmodule(self).__name__,
)
@custom_webhook.route("/", methods=["GET"])
async def health(request: Request) -> HTTPResponse:
return response.json({"status": "ok"})
@custom_webhook.route("/webhook", methods=["POST"])
async def receive(request: Request) -> HTTPResponse:
...
return response.json(collector.messages)
return custom_webhook
@custom_webhook.route("/custom/train", methods=["POST"])
async def health(request: Request) -> HTTPResponse:
# This is where I want to receive training data files from client side and replace existing data files.
return response.json({"status": "ok"})
But rasa doesn’t seem to be aware of my API /custom/train.
Does someone have any ideas?
Or is there another way to make the API call to trigger the rasa command? Please help me.