Update mock API routes and prefixes

backend/common/canifa_api.py

@@ -2,14 +2,16 @@
 Canifa API Service
 Xử lý các logic liên quan đến API của Canifa (Magento)
 """
+
 import logging
+from typing import Any
+
 import httpx
-from typing import Optional, Dict, Any
 
 logger = logging.getLogger(__name__)
 
 # URL API Canifa
-CANIFA_CUSTOMER_API = "https://canifa.com/v1/magento/customer"
+CANIFA_CUSTOMER_API = "https://vsf2.canifa.com/v1/magento/customer"
 
 # GraphQL Query Body giả lập (để lấy User Info)
 CANIFA_QUERY_BODY = [
@@ -17,12 +19,13 @@ CANIFA_QUERY_BODY = [
         "customer": "customer-custom-query",
         "metadata": {
             "fields": "\n customer {\n gender\n customer_id\n phone_number\n date_of_birth\n default_billing\n default_shipping\n email\n firstname\n is_subscribed\n lastname\n middlename\n prefix\n suffix\n taxvat\n addresses {\n city\n country_code\n default_billing\n default_shipping\n extension_attributes {\n attribute_code\n value\n }\n custom_attributes {\n attribute_code\n value\n }\n firstname\n id\n lastname\n postcode\n prefix\n region {\n region_code\n region_id\n region\n }\n street\n suffix\n telephone\n vat_id\n }\n is_subscribed\n }\n "
-        }
         },
-    {}
+    },
+    {},
 ]
 
-async def verify_canifa_token(token: str) -> Optional[Dict[str, Any]]:
+
+async def verify_canifa_token(token: str) -> dict[str, Any] | None:
     """
     Verify token với API Canifa (Magento).
     Dùng token làm cookie `vsf-customer` để gọi API lấy thông tin customer.
@@ -39,16 +42,12 @@ async def verify_canifa_token(token: str) -> Optional[Dict[str, Any]]:
     headers = {
         "accept": "application/json, text/plain, */*",
         "content-type": "application/json",
-        "Cookie": f"vsf-customer={token}"  # Quan trọng: Gửi token dưới dạng Cookie
+        "Cookie": f"vsf-customer={token}",  # Quan trọng: Gửi token dưới dạng Cookie
     }
 
     try:
         async with httpx.AsyncClient(timeout=10.0) as client:
-            response = await client.post(
-                CANIFA_CUSTOMER_API,
-                json=CANIFA_QUERY_BODY,
-                headers=headers
-            )
+            response = await client.post(CANIFA_CUSTOMER_API, json=CANIFA_QUERY_BODY, headers=headers)
 
             if response.status_code == 200:
                 data = response.json()
@@ -62,7 +61,6 @@ async def verify_canifa_token(token: str) -> Optional[Dict[str, Any]]:
                 # Nếu Canifa trả list (batch request)
                 return data
 
-            else:
             logger.warning(f"Canifa API Failed: {response.status_code} - {response.text}")
             return None
 
@@ -70,7 +68,8 @@ async def verify_canifa_token(token: str) -> Optional[Dict[str, Any]]:
         logger.error(f"Error calling Canifa API: {e}")
         return None
 
-async def extract_user_id_from_canifa_response(data: Any) -> Optional[str]:
+
+async def extract_user_id_from_canifa_response(data: Any) -> str | None:
     """
     Bóc customer_id từ response data của Canifa.
     """
@@ -83,16 +82,16 @@ async def extract_user_id_from_canifa_response(data: Any) -> Optional[str]:
 
         # Format 1: data['customer']
         if isinstance(data, dict):
-            customer = data.get('customer') or data.get('data', {}).get('customer')
+            customer = data.get("customer") or data.get("data", {}).get("customer")
 
         # Format 2: data là list (nếu query batch)
         elif isinstance(data, list) and len(data) > 0:
             item = data[0]
             if isinstance(item, dict):
-                customer = item.get('result', {}).get('customer') or item.get('data', {}).get('customer')
+                customer = item.get("result", {}).get("customer") or item.get("data", {}).get("customer")
 
         if customer and isinstance(customer, dict):
-            user_id = customer.get('customer_id') or customer.get('id')
+            user_id = customer.get("customer_id") or customer.get("id")
             if user_id:
                 return str(user_id)
 

backend/run.txt

@@ -13,3 +13,5 @@ docker restart chatbot-backend && docker logs -f chatbot-backend
 docker logs -f chatbot-backend
 
 docker restart chatbot-backend
+
+sudo docker compose -f docker-compose.prod.yml up -d --build