add 400 research papers ...3.pkl

frontend/react-app/src/pages/UserProfile.jsx

@@ -1,4 +1,18 @@
+import { useNavigate } from "react-router-dom";
+
+const useLogout = () => {
+  const navigate = useNavigate();
+
+  const handleLogout = async () => {
+    localStorage.removeItem("appToken");
+    navigate("/login");
+  };
+
+  return handleLogout;
+};
+
 function UserProfile() {
+  const handleLogout = useLogout();
   return (
     <div className="flex justify-center items-center h-[100vh] bg-gradient-to-tr from-slate-50 to-blue-100">
       <div className="bg-slate-50 shadow-md rounded-lg p-4">
@@ -67,7 +81,11 @@ function UserProfile() {
           </div>
         </div>
         <div className="flex justify-center items-center">
-          <button className="px-4 py-2 bg-black text-white font-bold rounded-full">Logout</button>
+          <button
+            onClick={handleLogout}
+            className="px-4 py-2 bg-black text-white font-bold rounded-full">
+            Logout
+          </button>
         </div>
       </div>
     </div>

src/logics/data_extraction.py

@@ -126,9 +126,9 @@ def get_results(
 
     def store_data(
         self,
-        save_file_name: str = "master_data.pkl",
-        max_results: int = 10,
-        days: int = 60,
+        save_file_name: str = "master_data3.pkl",
+        max_results: int = 500,
+        days: int = 365*2,
     ) -> None:
         # Call the get_results method and store the dataframe in the self.extracted_data attribute
         self.extracted_data = self.get_results(max_results, days)
@@ -165,15 +165,15 @@ def get_stored_data(self) -> pd.DataFrame:
         type=str,
         help="Maximum results to store",
         nargs="?",
-        default=50,
+        default=500,
     )
     parser.add_argument(
         "-d",
         "--days",
         type=str,
         help="Store only for these many past days",
         nargs="?",
-        default=50,
+        default=365*2,
     )
 
     # Parse the arguments

test.py

@@ -1,4 +1,4 @@
 import pandas as pd
-df = pd.read_json("./data/master_data.json")
+df = pd.read_pickle("data/master_data3.pkl")
 print(df.shape)
-print(df.title.tail(20).iloc[5])
+print(df.head(20))