feat: ms-bot-framework with dynamic adaptive cards

backend/app/routers/bot.py

@@ -0,0 +1,23 @@
+from fastapi import APIRouter, Request, Depends
+from botbuilder.schema import Activity
+from botbuilder.core import TurnContext
+from backend.app.factories.bot_factory import BotFactory
+
+router = APIRouter()
+
+@router.post("/api/messages", response_model=None)
+async def messages(
+    req: Request,
+    bot = Depends(lambda: BotFactory().get_bot("dayta")),
+    adapter = Depends(lambda: BotFactory().get_adapter()    )
+    ):
+    body = await req.json()
+    activity = Activity().deserialize(body)
+
+    async def call_bot_logic(turn_context: TurnContext):
+        await bot.on_turn(turn_context)
+
+    auth_header = req.headers.get("Authorization", "")
+    await adapter.process_activity(activity, auth_header, call_bot_logic)
+
+    return {}  

backend/app/routers/direct_line.py

@@ -0,0 +1,86 @@
+from fastapi import APIRouter, HTTPException
+from typing import Dict, Any
+from uuid import uuid4
+from botbuilder.core import TurnContext
+from botbuilder.schema import Activity, ActivityTypes
+from backend.app.factories.bot_factory import BotFactory
+
+router = APIRouter(prefix="/v3/directline")
+
+# In-memory conversation store
+conversations: Dict[str, Dict[str, Any]] = {}
+# Each conversation will look like:
+# { "activities": [ { id, type, text, from } ], "watermark": int }
+
+@router.post("/conversations")
+async def start_conversation():
+    conversation_id = str(uuid4())
+    conversations[conversation_id] = {
+        "activities": [],
+        "watermark": 0
+    }
+
+    return {
+        "conversationId": conversation_id,
+        "token": "mock-token",  # Optional for dev use
+        "streamUrl": f"/v3/directline/conversations/{conversation_id}/stream"
+    }
+
+@router.get("/conversations/{conversation_id}/activities")
+async def get_activities(conversation_id: str, watermark: int = 0):
+    if conversation_id not in conversations:
+        raise HTTPException(status_code=404, detail="Conversation not found")
+
+    activities = conversations[conversation_id]["activities"]
+    return {
+        "activities": activities[watermark:],
+        "watermark": len(activities)
+    }
+
+@router.post("/conversations/{conversation_id}/activities")
+async def post_activity(conversation_id: str, activity: Dict[str, Any]):
+    if conversation_id not in conversations:
+        raise HTTPException(status_code=404, detail="Conversation not found")
+
+    # Starting with deserializing the activity
+    act = Activity().deserialize(activity)
+
+    #  Store my responses in this list please
+    bot_responses = []
+
+    #Patch TurnContext.send_activity to capture output
+    async def call_bot_logic(turn_context: TurnContext):
+        async def capture_response(response):
+            
+            # If it's a string, wrap it into an Activity
+            if isinstance(response, str):
+                bot_activity = Activity(
+                    type=ActivityTypes.message,
+                    text=response,
+                    from_property={"id": "bot"}
+                )
+            else:
+                bot_activity = response
+
+            bot_responses.append(bot_activity)
+
+        turn_context.send_activity = capture_response
+        await bot.on_turn(turn_context)
+    # 4. Call the adapter with the activity
+    adapter = BotFactory().get_adapter()
+    bot = BotFactory().get_bot("dayta")
+    auth_header = ""  
+
+    await adapter.process_activity(act, auth_header, call_bot_logic)
+
+    # 5. Store bot responses into conversation memory
+    for act in bot_responses:
+        conversations[conversation_id]["activities"].append({
+            "id": str(uuid4()),
+            "type": act.type,
+            "text": act.text,
+            "from": {"id": "bot"},
+            "attachments": [a.serialize() for a in (act.attachments or [])]
+        })
+
+    return { "id": str(uuid4()) }