Merge pull request 'updated eployment script' (#2) from dev into main

Reviewed-on: #2

app.py

@@ -1,6 +1,6 @@
 import os
 from typing import Optional
-from fastapi import FastAPI, HTTPException, Security, Depends, Request
+from fastapi import FastAPI, HTTPException, Security, Depends
 from fastapi.security import APIKeyHeader
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
@@ -27,23 +27,9 @@ import os
 from PyPDF2 import PdfReader
 from config import QUIZ_TYPES
 from config import Config
-import logging
-import time
 # Load environment variables
 load_dotenv()
-from config import Config
-API_KEY = Config.API_KEY_ACCESS
-
-# Configure logging
-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
-)
-logger = logging.getLogger(__name__)
-
-# Also configure uvicorn logger
-uvicorn_logger = logging.getLogger("uvicorn.access")
-uvicorn_logger.setLevel(logging.INFO)
+API_KEY = os.getenv("API_KEY_ACCESS")
 
 base_path = os.path.join("data", "config_files")
 QUESTIONS_PATH = os.path.join(base_path, "questions.json")
@@ -60,40 +46,6 @@ app = FastAPI(
     version="1.0.0"
 )
 
-# Add request logging middleware
-@app.middleware("http")
-async def log_requests(request: Request, call_next):
-    start_time = time.time()
-
-    # Log incoming request (using both logger and print for visibility)
-    log_msg = f"🔥 INCOMING REQUEST: {request.method} {request.url}"
-    logger.info(log_msg)
-    print(log_msg)
-
-  
-
-    # Get request body for POST requests
-    if request.method == "POST":
-        body = await request.body()
-        body_msg = f"🔥 Request Body: {body.decode('utf-8') if body else 'Empty'}"
-        logger.info(body_msg)
-        print(body_msg)
-
-        # Re-create request with body for downstream processing
-        async def receive():
-            return {"type": "http.request", "body": body}
-        request._receive = receive
-
-    response = await call_next(request)
-
-    # Log response
-    process_time = time.time() - start_time
-    response_msg = f"🔥 RESPONSE: {response.status_code} - Time: {process_time:.4f}s"
-    logger.info(response_msg)
-    print(response_msg)
-
-    return response
-
 # Add CORS middleware
 app.add_middleware(
     CORSMiddleware,
@@ -116,7 +68,6 @@ async def get_api_key(api_key_header: str = Security(api_key_header)) -> str:
         )
     
     token = api_key_header.split(' ')[1]
-    print(f"Token : {token}")
     if token != API_KEY:
         raise HTTPException(
             status_code=401,
@@ -337,7 +288,7 @@ async def generate_pdf_endpoint(
         if request.form_id:
             print(f"Fetching form response for form_id: {request.form_id}")  # Debugging print
             try:
-                x_api_key = Config.BACKEND_XAPI_KEY
+                x_api_key = os.getenv("BACKEND_XAPI_KEY")
                 url = f"{backend_base_url}/v3/api/custom/theme-document/answer/{request.form_id}?x-project={x_api_key}"
                 result = requests.get(url)
                 result.raise_for_status()  # Ensure we raise an error for bad responses

config.py

@@ -1,7 +1,4 @@
 import os
-from dotenv import load_dotenv
-
-load_dotenv()
 QUIZ_TYPES = {
     1: {
         "name": "Single Line Text Inputs",

gunicorn.pid

@@ -0,0 +1 @@
+18759

requirements.txt

@@ -25,7 +25,3 @@ reportlab==4.3.1
 python-docx==1.1.2
 unstructured==0.17.2
 pypdf==5.4.0
-gunicorn==23.0.0
-python-dotenv
-
-

src/llm.py

@@ -62,8 +62,6 @@ def setup_prompt_template(theme: int, resume: str,full_history=None,form_respons
         ("system", chat_prompt(theme, resume,full_history,form_response,generate_theme)),
         MessagesPlaceholder(variable_name="messages")
     ])
-
-
 def fetch_conversation_history(conversation_id: str) -> List[Message]:
     """
     Fetch conversation history from the API using the conversation ID.
@@ -76,54 +74,18 @@ def fetch_conversation_history(conversation_id: str) -> List[Message]:
         response = requests.get(url)
         response.raise_for_status()  # Raise an error for bad responses
         data = response.json()["data"]  # First JSON parse
-
-        if isinstance(data, str):
-            print("Data is a string, parsing as JSON...")
-            data = json.loads(data)
-           
-
+        data = json.loads(json.loads(data))
         # Parse the API response into Message objects
         messages = []
-        
-        # Check if data exists and is a list
-        if data and isinstance(data, list):
-            for item in data:
-               
-                
-                # Check if item is a dictionary
-                if isinstance(item, dict):
-                    role = item.get("role", "unknown")
-                    content = item.get("content", "")
-                    timestamp = datetime.now().isoformat()  # Use current timestamp if not provided
-                    messages.append(Message(role=role, content=content))
-                elif isinstance(item, str):
-                    # If item is a string, it might be JSON that needs parsing
-                    try:
-                        parsed_item = json.loads(item)
-                        if isinstance(parsed_item, dict):
-                            role = parsed_item.get("role", "unknown")
-                            content = parsed_item.get("content", "")
-                            messages.append(Message(role=role, content=content))
-                        else:
-                            print(f"Parsed item is not a dict: {parsed_item}")
-                    except json.JSONDecodeError as json_err:
-                        print(f"Failed to parse JSON string: {item}, error: {json_err}")
-                else:
-                    print(f"Unexpected item type: {type(item)} for item: {item}")
-        else:
-            print(f"No data or data is not a list. Data: {data}")
-            
+        for item in data:
+            role = item.get("role", "unknown")
+            content = item.get("content", "")
+            timestamp = datetime.now().isoformat()  # Use current timestamp if not provided
+            messages.append(Message(role=role, content=content))
         return messages
-        
     except requests.RequestException as e:
         print(f"Error fetching conversation history: {e}")
         return []
-    except KeyError as e:
-        print(f"Expected key not found in response: {e}")
-        return []
-    except Exception as e:
-        print(f"Unexpected error: {e}")
-        return []
 
 
 def convert_to_langchain_messages(messages: List[Message]) -> List[HumanMessage | AIMessage]:
@@ -168,8 +130,6 @@ def ai_chat(query: str, conversation_id: str, theme_id: int, resume: str, full_h
     
     # Fetch conversation history from the API
     history = fetch_conversation_history(conversation_id)
-
-    print(history)
     
     config = {"configurable": {"thread_id": conversation_id}}
     language = "English"

start.sh

@@ -3,8 +3,5 @@
 # Create logs directory if it doesn't exist
 mkdir -p logs
 
-# Activate virtual environment
-source venv/bin/activate
-
 # Start Gunicorn with the configuration
 gunicorn -c gunicorn_config.py app:app