[WIP] Catalog guypirro

astro_data/extra/guypirro/convert.py

@@ -0,0 +1,91 @@
+import csv
+import re
+import sys
+import argparse
+
+def process_text_to_csv(input_file, output_file):
+    # Read the input file
+    with open(input_file, 'r', encoding='utf-8') as f:
+        input_text = f.read()
+
+    # Build a map of P-objects for reference
+    p_objects = {}
+    p_pattern = re.compile(r'^P\d+\s+([^\s]+)\s+')
+
+    for line in input_text.split('\n'):
+        match = p_pattern.match(line.strip())
+        if match:
+            designation = match.group(1)
+            p_number = f"P{line.strip().split()[0][1:]}"  # Extract P-number
+            p_objects[designation] = p_number
+
+    # Process all objects
+    objects = []
+    current_object = None
+
+    for line in input_text.split('\n'):
+        line = line.strip()
+
+        # Skip empty lines, section headers, and P-object listings
+        if not line or 'Constellation:' in line or line.startswith('P') or 'The Guy Pirro' in line:
+            continue
+
+        # Parse object entries
+        # Match pattern: designation(s) + type + optional comments
+        parts = line.split()
+        if len(parts) >= 2:
+            # Handle potential multi-word object designations
+            if parts[0] in ['IC', 'NGC', 'Messier', 'Caldwell']:
+                # Find where the type begins (after the designation)
+                i = 1
+                while i < len(parts) and parts[i][0].isdigit():
+                    i += 1
+
+                designation = ' '.join(parts[:i])
+                type_and_comments = parts[i:]
+
+                # Find where the type ends and comments begin
+                type_end = 1  # At least one word for type
+                while (type_end < len(type_and_comments) and
+                       type_and_comments[type_end].lower() in ['cluster', 'nebula', 'galaxy', 'remnant']):
+                    type_end += 1
+
+                obj_type = ' '.join(type_and_comments[:type_end])
+                comments = ' '.join(type_and_comments[type_end:])
+
+                # Clean up the designation
+                designation = designation.replace(' ', '')
+
+                # Look up P-object designation
+                p_designation = p_objects.get(designation, '')
+
+                objects.append({
+                    'object': designation,
+                    'type': obj_type.strip(),
+                    'comments': comments.strip(),
+                    'p-object': p_designation
+                })
+
+    # Write to CSV
+    with open(output_file, 'w', newline='', encoding='utf-8') as f:
+        writer = csv.DictWriter(f, fieldnames=['object', 'type', 'comments', 'p-object'])
+        writer.writeheader()
+        writer.writerows(objects)
+
+def main():
+    parser = argparse.ArgumentParser(description='Convert deep sky object text file to CSV.')
+    parser.add_argument('input_file', help='Input text file to convert')
+    parser.add_argument('-o', '--output', default='deep_sky_objects.csv',
+                        help='Output CSV file (default: deep_sky_objects.csv)')
+
+    args = parser.parse_args()
+
+    try:
+        process_text_to_csv(args.input_file, args.output)
+        print(f"Successfully converted {args.input_file} to {args.output}")
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+if __name__ == "__main__":
+    main()