Csv To Vcf Fix May 2026

def read_csv(self, file_path: str, encoding: Optional[str] = None) -> List[Dict]: """Read CSV file and return list of dictionaries""" if not encoding: encoding = self.detect_encoding(file_path) print(f"Detected encoding: encoding") contacts = [] try: with open(file_path, 'r', encoding=encoding) as f: # Detect delimiter sample = f.read(1024) f.seek(0) delimiter = self.detect_delimiter(sample) print(f"Detected delimiter: delimiter") reader = csv.DictReader(f, delimiter=delimiter) # Normalize column names reader.fieldnames = [self.normalize_column_name(col) for col in reader.fieldnames] for row_num, row in enumerate(reader, start=2): contact = self.normalize_contact(row) if contact.get('name') or contact.get('phone'): contacts.append(contact) else: print(f"Warning: Row row_num skipped - missing name or phone") except Exception as e: raise Exception(f"Error reading CSV file: str(e)") return contacts

This complete feature provides a robust, production-ready CSV to VCF converter with extensive error handling, format detection, and customization options. csv to vcf

try: count = converter.convert(args.input, args.output, args.encoding) print(f"\n✓ Conversion complete! count contacts converted.") return 0 except Exception as e: print(f"\n✗ Error: str(e)") return 1 if == " main ": exit(main()) 3. Installation Requirements # Install required package pip install chardet Or create requirements.txt echo "chardet>=5.0.0" > requirements.txt pip install -r requirements.txt 4. Usage Examples # Basic conversion python csv_to_vcf.py contacts.csv Specify output file python csv_to_vcf.py contacts.csv -o my_contacts.vcf Specify encoding for non-UTF8 files python csv_to_vcf.py contacts.csv -e iso-8859-1 In Python script from csv_to_vcf import CSVToVCFConverter encoding: Optional[str] = None) -&gt

def convert_to_string(self, input_file: str, encoding: Optional[str] = None) -> str: """Convert CSV to VCF string (without saving to file)""" contacts = self.read_csv(input_file, encoding) vcf_strings = [] for i, contact in enumerate(contacts, start=1): vcf_strings.append(self.create_vcf_card(contact, i)) return '\n'.join(vcf_strings) def main(): parser = argparse.ArgumentParser( description='Convert CSV contacts to VCF (vCard) format', formatter_class=argparse.RawDescriptionHelpFormatter, epilog=""" Examples: python csv_to_vcf.py contacts.csv python csv_to_vcf.py contacts.csv -o output.vcf python csv_to_vcf.py contacts.csv -e iso-8859-1 """ ) encoding) vcf_strings = [] for i

1. CSV Format Requirements The converter expects CSV files with the following columns (case-insensitive):

parser.add_argument('input', help='Input CSV file path') parser.add_argument('-o', '--output', help='Output VCF file path') parser.add_argument('-e', '--encoding', help='CSV file encoding (auto-detected if not specified)')