Csv To Vcf [best] | FULL • RELEASE |

def add_photo(self, contact: Dict, photo_path: str) -> str: """Add photo to vCard (base64 encoded)""" import base64 with open(photo_path, 'rb') as f: photo_data = base64.b64encode(f.read()).decode('utf-8') return f"PHOTO;ENCODING=b;TYPE=JPEG:photo_data"

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

args = parser.parse_args()

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)")

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)') csv to vcf

# Convert converter = CSVToVCFConverter()

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

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)