Csv To Vcf ~repack~ May 2026

def detect_delimiter(self, sample: str) -> str: """Detect CSV delimiter (comma, semicolon, or tab)""" common_delimiters = [',', ';', '\t', '|'] delimiter_counts = {} for delimiter in common_delimiters: if delimiter in sample: # Count occurrences in first line first_line = sample.split('\n')[0] delimiter_counts[delimiter] = first_line.count(delimiter) if delimiter_counts: return max(delimiter_counts, key=delimiter_counts.get) return ',' # Default to comma

def format_date(self, date_str: str) -> str: """Format date for VCF (YYYYMMDD)""" if not date_str: return "" # Try different date formats formats = ['%Y-%m-%d', '%m/%d/%Y', '%d/%m/%Y', '%Y%m%d'] for fmt in formats: try: date_obj = datetime.strptime(date_str, fmt) return date_obj.strftime('%Y%m%d') except ValueError: continue return date_str.replace('-', '').replace('/', '')

def normalize_column_name(self, col: str) -> str: """Normalize column names to standard format""" col = col.lower().strip() mapping = 'name': 'name', 'fullname': 'name', 'displayname': 'name', 'phone': 'phone', 'mobile': 'phone', 'telephone': 'phone', 'cell': 'phone', 'workphone': 'phone', 'email': 'email', 'emailaddress': 'email', 'company': 'company', 'organization': 'company', 'title': 'title', 'jobtitle': 'title', 'position': 'title', 'address': 'address', 'street': 'address', 'website': 'website', 'url': 'website', 'webpage': 'website', 'birthday': 'birthday', 'bday': 'birthday', 'dob': 'birthday', 'notes': 'notes', 'comment': 'notes', 'description': 'notes' return mapping.get(col, col) csv to vcf

# Check if input file exists if not os.path.exists(args.input): print(f"Error: Input file 'args.input' not found") return 1

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

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

def convert(self, input_file: str, output_file: Optional[str] = None, encoding: Optional[str] = None) -> int: """Convert CSV to VCF and save to file""" # Read CSV contacts = self.read_csv(input_file, encoding) if not contacts: print("No valid contacts found in CSV file") return 0 print(f"Found len(contacts) contacts") # Determine output filename if not output_file: input_path = Path(input_file) output_file = input_path.stem + '.vcf' # Write VCF file try: with open(output_file, 'w', encoding='utf-8') as f: for i, contact in enumerate(contacts, start=1): vcf_card = self.create_vcf_card(contact, i) f.write(vcf_card) if i < len(contacts): f.write('\n') print(f"Successfully converted len(contacts) contacts to output_file") return len(contacts) except Exception as e: raise Exception(f"Error writing VCF file: str(e)") str: """Detect CSV delimiter (comma

def normalize_contact(self, row: Dict) -> Dict: """Normalize contact data""" contact = {} for key, value in row.items(): if value and isinstance(value, str): value = value.strip() if value: contact[key] = value return contact