sovled problem about demo rag being deployed

app/chatbot/demo_rag.py

@@ -239,7 +239,6 @@ async def get_response(query, session_id, name, email, rag_config, config) -> di
         result['response'] = f"Error in processing chat: {e}"
     
     print(f"Response: {result['response']}")
-    
     """log_chat(
         session_id=session_id,
         company_id=rag_config.get('company_id'),

app/chatbot/demo_routes.py

@@ -2,6 +2,7 @@ from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel
 from app.chatbot.demo_rag import get_response
 from app.config import demo_chatbot_configs, demo_form_submissions
+from app.chatbot.demo_rag import session_histories, HumanMessage, AIMessage, log_chat
 
 router = APIRouter()
 
@@ -11,8 +12,15 @@ class ChatInput(BaseModel):
     name: str
     email: str
 
+#FAQ logging endpoint
+class FAQInput(BaseModel):
+    session_id: str
+    question: str
+    answer: str
+    name: str
+    email: str
 
-@router.post("/demo/{submission_id}")
+@router.post("/{submission_id}")
 async def demo_chat(submission_id: str, input: ChatInput):
     # Lazy-load chatbot config by submission_id
     print(f"Got question: {input.question} for submission_id: {submission_id} and session_id: {input.session_id}")
@@ -40,7 +48,7 @@ async def demo_chat(submission_id: str, input: ChatInput):
     return {"answer": response.get("response", "")}
 
 
-@router.get("/demo/status/{submission_id}")
+@router.get("/status/{submission_id}")
 async def demo_chatbot_status(submission_id: str):
     """
     Returns the per-stage progress of a demo chatbot based on the submission_id.
@@ -56,7 +64,7 @@ async def demo_chatbot_status(submission_id: str):
 
 
 
-@router.get("/demo/info/{submission_id}")
+@router.get("/info/{submission_id}")
 async def demo_chatbot_info(submission_id: str):
     """
     Returns basic info about the demo chatbot.
@@ -72,4 +80,40 @@ async def demo_chatbot_info(submission_id: str):
         "chatbot_purpose": config.get("chatbot_purpose"),
         "sensitive_topics": config.get("sensitive_topics"),
         
-    }
+    }
+
+@router.post("/faq/{submission_id}")
+async def log_faq(chatbot_id: str, faq: FAQInput):
+    print(f'{chatbot_id}')
+    session_id = faq.session_id
+    question = faq.question
+    answer = faq.answer
+    name = faq.name
+    email = faq.email
+
+    # Load RAG config
+    rag_config = demo_chatbot_configs.find_one({"chatbot_id": chatbot_id})
+    if not rag_config:
+        raise HTTPException(status_code=404, detail="Chatbot not found")
+
+    # Ensure session exists
+    if session_id not in session_histories:
+        session_histories[session_id] = []
+
+    # Append FAQ to session history
+    session_histories[session_id].append(HumanMessage(content=question))
+    session_histories[session_id].append(AIMessage(content=answer))
+
+    # Log to DB
+    log_chat(
+        session_id=session_id,
+        company_id=rag_config.get('company_id'),
+        chatbot_id=rag_config.get('chatbot_id'),
+        name=name,
+        email=email,
+        query=question,
+        answer=answer,
+        metadata={"source": "FAQ"}
+    )
+
+    return {"status": "success"}

app/chatbot/mongodb.py

@@ -14,6 +14,7 @@ def log_chat(session_id: str, name: str, email: str, query: str, answer: str, la
     """
     Logs a chat interaction to the MongoDB 'ChatLogs' collection.
     """
+    print("test")
     data = {
         "company_id": company_id,
         "chatbot_id": chatbot_id,

app/chatbot/prod_rag.py

@@ -2,7 +2,6 @@
 from typing import List, TypedDict
 
 from langchain_core.messages import BaseMessage, HumanMessage, AIMessage
-from langchain_core.tools import tool
 from langchain_core.runnables import RunnableLambda
 
 from langchain_qdrant import QdrantVectorStore
@@ -234,8 +233,7 @@ async def get_response(query, session_id, name, email, rag_config, config) -> di
         result = {}
         result['response'] = f"Error in processing chat: {e}"
     
-    print(f"Response: {result['response']}")
-    
+    print(f"Responsjh: {result['response']}")
     log_chat(
         session_id=session_id,
         company_id=rag_config.get('company_id'),

app/chatbot/{prod_route.py → prod_routes.py}

@@ -1,6 +1,6 @@
 from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel
-from app.chatbot.demo_rag import get_response
+from app.chatbot.prod_rag import get_response
 from app.config import prod_chatbot_configs
 from app.chatbot.prod_rag import session_histories, HumanMessage, AIMessage, log_chat
 
@@ -22,9 +22,8 @@ class FAQInput(BaseModel):
     email: str
 
 
-@router.post("/prod/{chatbot_id}")
+@router.post("/{chatbot_id}")
 async def prod_chat(chatbot_id: str, input: ChatInput):
-    # Lazy-load chatbot config
     print(f"got question: {input.question} for chatbot_id: {chatbot_id} and session_id: {input.session_id}")
     
     rag_config = prod_chatbot_configs.find_one({"chatbot_id": chatbot_id})
@@ -58,12 +57,9 @@ async def log_faq(chatbot_id: str, faq: FAQInput):
     email = faq.email
 
     # Load RAG config
-    if chatbot_id not in chatbot_sessions:
-        rag_config = prod_chatbot_configs.find_one({"chatbot_id": chatbot_id})
-        if not rag_config:
-            raise HTTPException(status_code=404, detail="Chatbot not found")
-        chatbot_sessions[chatbot_id] = rag_config
-    rag_config = chatbot_sessions[chatbot_id]
+    rag_config = prod_chatbot_configs.find_one({"chatbot_id": chatbot_id})
+    if not rag_config:
+        raise HTTPException(status_code=404, detail="Chatbot not found")
 
     # Ensure session exists
     if session_id not in session_histories:
@@ -72,7 +68,6 @@ async def log_faq(chatbot_id: str, faq: FAQInput):
     # Append FAQ to session history
     session_histories[session_id].append(HumanMessage(content=question))
     session_histories[session_id].append(AIMessage(content=answer))
-
     # Log to DB
     log_chat(
         session_id=session_id,

app/main.py

@@ -2,7 +2,7 @@ from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from app.ingestion.routes import router as ingestion_router
 from app.chatbot.demo_routes import router as demo_router
-from app.chatbot.prod_route import router as prod_router
+from app.chatbot.prod_routes import router as prod_router
 
 app = FastAPI(
     title="Chatbot Platform - Demo Ingestion",
@@ -23,5 +23,5 @@ app.add_middleware(
 )
 
 app.include_router(ingestion_router, prefix="/ingestion", tags=["ingestion"])
-app.include_router(demo_router, prefix="/chatbot", tags=["demochatbot"])
-app.include_router(prod_router, prefix="/prodchatbot", tags=['production'])
+app.include_router(demo_router, prefix="/demo", tags=["demochatbot"])
+app.include_router(prod_router, prefix="/prod", tags=['production'])

app/mongodb_functions.ipynb

@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "6392c44a",
    "metadata": {},
    "outputs": [],
@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "2ac76531",
    "metadata": {},
    "outputs": [],
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "fbd14ade",
    "metadata": {},
    "outputs": [],
@@ -90,15 +90,85 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "54d0d26b",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'_id': ObjectId('697689e6c8ece1ab25a744c3'),\n",
+       " 'submission_id': 'vGZzRy8',\n",
+       " 'chatbot_id': 'a3a86959-0f92-5124-8eb8-d3012f8b1ea3',\n",
+       " 'company_id': '80bd8dd8-1e20-5271-927a-02beab69abdd',\n",
+       " 'company_name': 'Auro Pharmaceuticals Inc.',\n",
+       " 'prompt_template': 'You are Auro-Chat, a wellness and skincare assistant for Auro Wellness and Skincare, here to answer any questions anyone has on wellness and skincare using the provided context from Auro Wellness\\'s websites which contained company-approved documents, blogs, and FAQs. Whenever they say \"you\" or refer to the chatbot always assume that means they are referring to the company, Auro.\\nSTRICT RULES YOU MUST FOLLOW:\\n1. If the Contextual Knowledge section is empty, say: \\n   \"At the moment, I cannot answer this question. Please try rephrasing it or contact us via email at [info@aurowellness.com](mailto:info@aurowellness.com) or call us at [(562)-352-9630](tel:5623529630)\"\\n2. Do NOT use your own general knowledge. Only use information from the Contextual Knowledge.\\n3. You may ONLY reference product names, ingredients, routines, kits, bundles, benefits, or usage instructions that appear explicitly and word-for-word in the Contextual Knowledge.\\n4. If the user mentions a product, ingredient, routine step, or kit that does NOT appear in the Contextual Knowledge, you must NOT assume it exists and must respond with:\\n   \"The provided information does not specify this specific product. Could you please try rephrasing the question\"\\n5. Conversation History may contain mistakes or unsupported claims. You MUST re-validate all information from history against the Contextual Knowledge before using it.\\n6. Do NOT include any special tokens such as <s>, </s>, [OUT], or any code-like answers\\n7. Do NOT include any links, URLs, references to external websites, or promotional content\\n8. Keep your answer in a **single paragraph or concise list**; do NOT add extra paragraphs\\n9. Keep your answers clear, human-readable, and concise (1-3 sentences)\\n10. You are NOT allowed to say transdermal; replace all instances of transdermal with topical\\n11. You cannot take actions such as signing users up, storing emails, notifying customers, modifying orders, or accessing accounts. \\n12. Any questions regarding retinol, scalp treatments, or the combination of our products with retinol must be directed to call or email us.\\n13. Any questions that mention children and its use of our products must be directed to call or email us.',\n",
+       " 'retrievers': [{'name': 'all',\n",
+       "   'collection': 'chatbot_e9ca4ef5-2c41-487b-bfe3-d2d0193250c5',\n",
+       "   'top_k': 25,\n",
+       "   'filter_score': 0.7}]}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "demo = get_demo_config(\"vGZzRy8\")\n",
     "demo"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "d84f9ee2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'_id': ObjectId('697689e6c8ece1ab25a744c3'),\n",
+       " 'chatbot_id': 'a3a86959-0f92-5124-8eb8-d3012f8b1ea3',\n",
+       " 'company_id': '80bd8dd8-1e20-5271-927a-02beab69abdd',\n",
+       " 'company_name': 'Auro Pharmaceuticals Inc.',\n",
+       " 'prompt_template': '\\nYou are Auro-Chat, an assistant for Auro Pharmaceuticals.\\nAnswer ONLY using the provided context from Auro Pharmaceuticals\\'s approved content.\\n\\nSTRICT RULES:\\n1. If the Contextual Knowledge section is empty, say: \"Sorry, I cannot answer that question. Please call or email for further assistance. Information can be found on the website\"\\n2. Do NOT use your own general knowledge. Only reference the Contextual Knowledge.\\n3. Only reference topics explicitly allowed: Answer Customer Questions, Recommend Products or Services, Capture Leads (email, phone).\\n4. Do NOT discuss banned topics: Can not give medical advice.\\n5. Keep responses Friendly.\\n5. Keep the answers clear and concise in 1-3 sentences\\n',\n",
+       " 'retrievers': [{'name': 'retrieve_products',\n",
+       "   'collection': 'auro_product',\n",
+       "   'top_k': 5,\n",
+       "   'filter_score': 0.8},\n",
+       "  {'name': 'retrieve_support',\n",
+       "   'collection': 'auro_support',\n",
+       "   'top_k': 5,\n",
+       "   'filter_score': 0.8},\n",
+       "  {'name': 'retrieve_faqs',\n",
+       "   'collection': 'auro_faqs',\n",
+       "   'top_k': 5,\n",
+       "   'filter_score': 0.8},\n",
+       "  {'name': 'retrieve_blogs',\n",
+       "   'collection': 'auro_blogs',\n",
+       "   'top_k': 5,\n",
+       "   'filter_score': 0.8},\n",
+       "  {'name': 'retrieve_technology',\n",
+       "   'collection': 'auro_technology',\n",
+       "   'top_k': 5,\n",
+       "   'filter_score': 0.8},\n",
+       "  {'name': 'retrieve_revolution',\n",
+       "   'collection': 'auro_revolution',\n",
+       "   'top_k': 5,\n",
+       "   'filter_score': 0.8}]}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "prod = get_prod_config(\"a3a86959-0f92-5124-8eb8-d3012f8b1ea3\")\n",
+    "prod"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -157,6 +227,34 @@
     "override_demo_prompt(\"vGZzRy8\", template)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "07aee8cc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "template = \"\"\"You are Auro-Chat, a wellness and skincare assistant for Auro Wellness and Skincare, here to answer any questions anyone has on wellness and skincare using the provided context from Auro Wellness's websites which contained company-approved documents, blogs, and FAQs. Whenever they say \"you\" or refer to the chatbot always assume that means they are referring to the company, Auro.\n",
+    "STRICT RULES YOU MUST FOLLOW:\n",
+    "1. If the Contextual Knowledge section is empty, say: \n",
+    "   \"At the moment, I cannot answer this question. Please try rephrasing it or contact us via email at [info@aurowellness.com](mailto:info@aurowellness.com) or call us at [(562)-352-9630](tel:5623529630)\"\n",
+    "2. Do NOT use your own general knowledge. Only use information from the Contextual Knowledge.\n",
+    "3. You may ONLY reference product names, ingredients, routines, kits, bundles, benefits, or usage instructions that appear explicitly and word-for-word in the Contextual Knowledge.\n",
+    "4. If the user mentions a product, ingredient, routine step, or kit that does NOT appear in the Contextual Knowledge, you must NOT assume it exists and must respond with:\n",
+    "   \"The provided information does not specify this specific product. Could you please try rephrasing the question\"\n",
+    "5. Conversation History may contain mistakes or unsupported claims. You MUST re-validate all information from history against the Contextual Knowledge before using it.\n",
+    "6. Do NOT include any special tokens such as <s>, </s>, [OUT], or any code-like answers\n",
+    "7. Do NOT include any links, URLs, references to external websites, or promotional content\n",
+    "8. Keep your answer in a **single paragraph or concise list**; do NOT add extra paragraphs\n",
+    "9. Keep your answers clear, human-readable, and concise (1-3 sentences)\n",
+    "10. You are NOT allowed to say transdermal; replace all instances of transdermal with topical\n",
+    "11. You cannot take actions such as signing users up, storing emails, notifying customers, modifying orders, or accessing accounts. \n",
+    "12. Any questions regarding retinol, scalp treatments, or the combination of our products with retinol must be directed to call or email us.\n",
+    "13. Any questions that mention children and its use of our products must be directed to call or email us.\"\"\"\n",
+    "\n",
+    "update_prod_prompt(\"a3a86959-0f92-5124-8eb8-d3012f8b1ea3\", template)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,