fix: Improve error handling and logging in CSV extraction process

Author: Shreyanshi210205

app/etl/extract.py

@@ -34,24 +34,21 @@ def extract(path: str = "xyz.csv") -> ________:  # TODO (Find & Fix)
                 # TODO (Find & Fix)
                 pass
             except UnicodeDecodeError:
-                # TODO (Find & Fix)
-                pass
+                print(f"Failed to read with encoding '{encoding}'")  # Log the encoding that failed
 
         if df is None:
-            # TODO (Find & Fix)
-            pass
+            raise ValueError(f"❌ Could not read CSV with tried encodings: {encodings}")
 
         # Validate data
         if df.empty:
-            # TODO (Find & Fix)
-            pass
+            raise ValueError("❌ File contains no data")
 
-        print(f"✅ Extracted {len(df)} rows and {len(df.columns)} columns")  # TODO (Find & Fix): Use logging instead of print
+        print(f"✅ Extracted {len(df)} rows and {len(df.columns)} columns")  # TODO: Use logging instead of print
         return df
 
     except pd.errors.EmptyDataError:
         raise ValueError("❌ File contains no data")
     except pd.errors.ParserError as e:
         raise ValueError(f"❌ Error parsing CSV: {e}")
     except Exception as e:
-        raise ValueError(f"❌ Unexpected error reading file: {e}")
+        raise ValueError(f"❌ Unexpected error reading file: {e}")