Make data loader to ge data from csc url or from an uplaoded file

src/ai_dashboard/loader.py

@@ -2,6 +2,8 @@
 
 from typing import Any
 import logging
+import base64
+import io
 
 import pandas as pd
 
@@ -19,6 +21,9 @@ class DataLoader:
     def load_csv(self) -> Any:
         """Load data from the specified path/url."""
         logger.debug("Loading data from: %s", self.data_path)
+        if not self.data_path or self.data_path.strip() == "":
+            logger.info("No data_path provided. Waiting for user upload/URL...")
+            return None
         try:
             data = pd.read_csv(self.data_path)
             return data
@@ -35,3 +40,23 @@ class DataLoader:
         except Exception as err:  # pylint: disable=W0718
             logger.error("Failed to load data from %s: %s", self.data_path, err)
             raise err
+
+    def load_from_url(self, url: str) -> Any:
+        """Load CSV from a direct URL."""
+        try:
+            df = pd.read_csv(url)
+            return df
+        except Exception as err:
+            logger.error("Failed to load CSV from URL %s: %s", url, err)
+            raise err
+
+    def load_uploaded_csv(self, uploaded_contents: str) -> Any:
+        """Load CSV from uploaded file contents (Dash Upload)."""
+        try:
+            _, content_string = uploaded_contents.split(",")
+            decoded = base64.b64decode(content_string)
+            df = pd.read_csv(io.StringIO(decoded.decode("utf-8")))
+            return df
+        except Exception as err:
+            logger.error("Failed to load uploaded CSV: %s", err)
+            raise err