Fixes for broken rows; full dataset now

MetObjects.csv.gz

@@ -0,0 +1,3 @@
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+size 37059735

add_images.py

@@ -24,7 +24,7 @@ retries = Retry(total=3,
 
 s.mount('https://', HTTPAdapter(max_retries=retries))
 
-# Function to load and clean the CSV data
+# Function to load and clean the CSV data & add images
 def load_and_clean_csv(file_path):
     valid_rows = []
     invalid_rows = []
@@ -32,7 +32,7 @@ def load_and_clean_csv(file_path):
     index = 0
 
     # Read the gzip file line by line
-    with gzip.open(file_path, 'rt') as f:
+    with gzip.open(file_path, 'rt', newline='\r\n', encoding='utf-8') as f:
         reader = csv.reader(f)
         header = next(reader)  # Read the header separately
         header.append("primaryImageSmall")  # Add the new column to the header
@@ -57,9 +57,48 @@ def load_and_clean_csv(file_path):
                     if index % 100 == 0:
                         print("Fetched " + str(index) +" image URLs")
                 else:
+                    print("Invalid: "+object_id)
+                    print(row)
                     invalid_rows.append(line)
             except Exception as e:
                 print(e)
+                print("Invalid + error: "+object_id)
+                invalid_rows.append(line)
+
+    print(f"Found {len(invalid_rows)} invalid rows")
+    return valid_rows, invalid_rows
+
+# Function to load and clean the CSV data & add images
+def test_csv(file_path):
+    valid_rows = []
+    invalid_rows = []
+
+    index = 0
+
+    # Read the gzip file line by line
+    with gzip.open(file_path, 'rt', newline='\r\n', encoding='utf-8') as f:
+        reader = csv.reader(f)
+        header = next(reader)  # Read the header separately
+        valid_rows.append(header)
+        expected_columns = len(header)
+
+        for line in f:
+            try:
+                # Try to parse the line
+                row = next(csv.reader([line]))
+                index = index + 1
+                if len(row) == expected_columns:
+                    object_id = row[4]
+                    print(object_id)
+                    valid_rows.append(row)
+                else:
+                    print("Invalid: "+object_id)
+                    print(len(row), expected_columns)
+                    print(row)
+                    invalid_rows.append(line)
+            except Exception as e:
+                print(e)
+                print("Invalid + error: "+object_id)
                 invalid_rows.append(line)
 
     print(f"Found {len(invalid_rows)} invalid rows")
@@ -89,6 +128,9 @@ def main():
     input_file = 'metadata.csv.gz'
     output_file = 'metadata_images.csv.gz'
 
+    # Test
+    # test_csv(input_file)
+
     # Load and clean the data
     valid_rows, invalid_rows = load_and_clean_csv(input_file)
 

clean.py

@@ -3,7 +3,7 @@ import gzip
 import io
 
 def load_and_process_csv(input_file_path, output_file_path):
-    with gzip.open(input_file_path, 'rt', newline='', encoding='utf-8') as infile:
+    with gzip.open(input_file_path, 'rt', newline='\r\n', encoding='utf-8') as infile:
         reader = csv.reader(infile)
         rows = list(reader)
 
@@ -11,8 +11,9 @@ def load_and_process_csv(input_file_path, output_file_path):
     for row in rows:
         processed_row = []
         for field in row:
-            if field.startswith('"') and field.endswith('"'):
-                field = field.replace('\n', ' ')
+            # if field.startswith('"') and field.endswith('"'):
+            field = field.replace('\n', ' ')
+            field = field.replace('\r', ' ')
             processed_row.append(field)
         processed_rows.append(processed_row)
 

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