Dear Community,
Please help with the Azure BotFramework Python SDK flow implementation I have described below.
Step 1 : I need my bot to ask a question initially when members are added i.e
async def on_members_added_activity(
self, members_added: [ChannelAccount], turn_context: TurnContext
):
for member in members_added:
if member.id != turn_context.activity.recipient.id:
await turn_context.send_activity(
"Welcome to the Sample Bot! May I help you with something?"
)
*This is the 'Welcome Prompt' - "Welcome to the Sample Bot! May I help you with something?"
Step 2: If the response from the user for the 'Welcome Prompt' is 'Yes':
- I need to call QnAMaker and let the user ask a question. After QnAMaker should answers the question from the Knowledge Base, I need to prompt the user again and check if the user needs another query answered. (This is the 'More Help Prompt')
Step 2: If the response to the 'More Help Prompt' is 'Yes':
- Repeat Step 2
Step 3: else if the response to the initial 'Welcome Prompt' or the 'More Help Prompt' is 'No':
- I need to run a Waterfall Dialog and prompt the user for getting various inputs in a sequential manner. Ex: Name, Age etc.
I don't mind if the flow isn't exactly as described above. The prompts can be anywhere or structured differently and I just need the QnaMaker and Dialog triggering and switching to work.
Any help in calling QnaMaker from Waterflow Dialog will also be appreciated.
I found these implemented in the C# and JavaScript SDKs but, couldn't get a reference code in Python.
Thanks in advance for the help.
Edit:
Adding links of C# and JS references which may help.
The Bot Framework SDK v4 is delivered as an open source SDK on GitHub, targeting .NET, JavaScript, Python, and Java.
Reference code using python SDK: https://github.com/microsoft/BotBuilder-Samples/tree/main/samples/python/49.qnamaker-all-features