[REFORMAT] Ran black reformat

backend/modules/nlp/service.py

@@ -1,11 +1,11 @@
 # modules/nlp/service.py
 
 from sqlalchemy.orm import Session
-from sqlalchemy import desc # Import desc for ordering
+from sqlalchemy import desc  # Import desc for ordering
 from google import genai
 import json
 from datetime import datetime, timezone
-from typing import List # Import List
+from typing import List  # Import List
 
 # Import the new model and Enum
 from .models import ChatMessage, MessageSender
@@ -14,7 +14,8 @@ from core.config import settings
 client = genai.Client(api_key=settings.GOOGLE_API_KEY)
 
 ### Base prompt for MAIA, used for inital user requests
-SYSTEM_PROMPT = """
+SYSTEM_PROMPT = (
+    """
 You are MAIA - My AI Assistant. Your job is to parse user requests into structured JSON commands and generate a user-facing response text.
 
 Available functions/intents:
@@ -109,8 +110,11 @@ MAIA:
   "response_text": "Okay, I've deleted task 2 from your list."
 }
 
-The datetime right now is """+str(datetime.now(timezone.utc))+""".
+The datetime right now is """
+    + str(datetime.now(timezone.utc))
+    + """.
 """
+)
 
 ### Prompt for MAIA to forward user request to AI
 SYSTEM_FORWARD_PROMPT = f"""
@@ -123,6 +127,7 @@ Here is the user request:
 
 # --- Chat History Service Functions ---
 
+
 def save_chat_message(db: Session, user_id: int, sender: MessageSender, text: str):
     """Saves a chat message to the database."""
     db_message = ChatMessage(user_id=user_id, sender=sender, text=text)
@@ -131,16 +136,21 @@ def save_chat_message(db: Session, user_id: int, sender: MessageSender, text: st
     db.refresh(db_message)
     return db_message
 
+
 def get_chat_history(db: Session, user_id: int, limit: int = 50) -> List[ChatMessage]:
     """Retrieves the last 'limit' chat messages for a user."""
-    return db.query(ChatMessage)\
-             .filter(ChatMessage.user_id == user_id)\
-             .order_by(desc(ChatMessage.timestamp))\
-             .limit(limit)\
-             .all()[::-1] # Reverse to get oldest first for display order
+    return (
+        db.query(ChatMessage)
+        .filter(ChatMessage.user_id == user_id)
+        .order_by(desc(ChatMessage.timestamp))
+        .limit(limit)
+        .all()[::-1]
+    )  # Reverse to get oldest first for display order
+
 
 # --- Existing NLP Service Functions ---
 
+
 def process_request(request: str):
     """
     Process the user request using the Google GenAI API.
@@ -152,7 +162,7 @@ def process_request(request: str):
         config={
             "temperature": 0.3,  # Less creativity, more factual
             "response_mime_type": "application/json",
-        }
+        },
     )
 
     # Parse the JSON response
@@ -160,7 +170,9 @@ def process_request(request: str):
         parsed_response = json.loads(response.text)
         # Validate required fields
         if not all(k in parsed_response for k in ("intent", "params", "response_text")):
-             raise ValueError("AI response missing required fields (intent, params, response_text)")
+            raise ValueError(
+                "AI response missing required fields (intent, params, response_text)"
+            )
         return parsed_response
     except (json.JSONDecodeError, ValueError) as e:
         print(f"Error parsing AI response: {e}")
@@ -169,9 +181,10 @@ def process_request(request: str):
         return {
             "intent": "error",
             "params": {},
-            "response_text": "Sorry, I had trouble understanding that request or formulating a response. Could you please try rephrasing?"
+            "response_text": "Sorry, I had trouble understanding that request or formulating a response. Could you please try rephrasing?",
         }
 
+
 def ask_ai(request: str):
     """
     Ask the AI a question.
@@ -179,6 +192,6 @@ def ask_ai(request: str):
     """
     response = client.models.generate_content(
         model="gemini-2.0-flash",
-        contents=SYSTEM_FORWARD_PROMPT+request,
+        contents=SYSTEM_FORWARD_PROMPT + request,
     )
-    return response.text
+    return response.text