Csv To Vcf !exclusive! 【99% TOP】

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

with tempfile.NamedTemporaryFile(mode='w', suffix='.csv', delete=False) as f: f.write(csv_content) f.flush() result = self.converter.convert_to_string(f.name) self.assertIn("FN:John Doe", result) self.assertIn("TEL;TYPE=CELL:+1234567890", result) os.unlink(f.name) csv to vcf

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" This complete feature provides a robust

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 result) os.unlink(f.name) def add_photo(self