File size: 5,869 Bytes
723f9ab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 | """
Data Validation and Constraints
Validate data before insertion/update
"""
import re
from typing import Dict, List, Any
class DataValidator:
"""Validate data against rules and constraints"""
def validate_row(self, data: Dict, schema: List[Dict]) -> Dict:
"""Validate a row against schema"""
errors = []
for column in schema:
col_name = column['name']
col_type = column.get('type', 'TEXT')
nullable = column.get('nullable', True)
unique = column.get('unique', False)
value = data.get(col_name)
# Check nullable
if not nullable and value is None:
errors.append(f"{col_name}: Cannot be null")
continue
if value is not None:
# Type validation
type_error = self._validate_type(value, col_type)
if type_error:
errors.append(f"{col_name}: {type_error}")
# Custom validators
if 'validator' in column:
validator_error = self._run_validator(value, column['validator'])
if validator_error:
errors.append(f"{col_name}: {validator_error}")
if errors:
return {'ok': False, 'errors': errors}
return {'ok': True}
def validate_email(self, email: str) -> bool:
"""Validate email format"""
pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
return bool(re.match(pattern, email))
def validate_phone(self, phone: str) -> bool:
"""Validate phone number"""
# Remove common separators
cleaned = re.sub(r'[\s\-\(\)]', '', phone)
# Check if it's digits and reasonable length
return cleaned.isdigit() and 10 <= len(cleaned) <= 15
def validate_url(self, url: str) -> bool:
"""Validate URL format"""
pattern = r'^https?://[^\s/$.?#].[^\s]*$'
return bool(re.match(pattern, url))
def validate_credit_card(self, card: str) -> bool:
"""Validate credit card using Luhn algorithm"""
# Remove spaces and dashes
card = re.sub(r'[\s\-]', '', card)
if not card.isdigit() or len(card) < 13 or len(card) > 19:
return False
# Luhn algorithm
total = 0
reverse_digits = card[::-1]
for i, digit in enumerate(reverse_digits):
n = int(digit)
if i % 2 == 1:
n *= 2
if n > 9:
n -= 9
total += n
return total % 10 == 0
def validate_range(self, value: Any, min_val: Any = None, max_val: Any = None) -> bool:
"""Validate value is within range"""
if min_val is not None and value < min_val:
return False
if max_val is not None and value > max_val:
return False
return True
def validate_length(self, value: str, min_len: int = None, max_len: int = None) -> bool:
"""Validate string length"""
length = len(value)
if min_len is not None and length < min_len:
return False
if max_len is not None and length > max_len:
return False
return True
def validate_pattern(self, value: str, pattern: str) -> bool:
"""Validate against regex pattern"""
return bool(re.match(pattern, value))
def _validate_type(self, value: Any, expected_type: str) -> str:
"""Validate value type"""
expected_type = expected_type.upper()
if expected_type in ['INTEGER', 'INT']:
if not isinstance(value, int):
return f"Expected integer, got {type(value).__name__}"
elif expected_type in ['DECIMAL', 'FLOAT', 'DOUBLE']:
if not isinstance(value, (int, float)):
return f"Expected number, got {type(value).__name__}"
elif expected_type == 'BOOLEAN':
if not isinstance(value, bool):
return f"Expected boolean, got {type(value).__name__}"
elif expected_type in ['VARCHAR', 'TEXT', 'STRING']:
if not isinstance(value, str):
return f"Expected string, got {type(value).__name__}"
return None
def _run_validator(self, value: Any, validator: Dict) -> str:
"""Run custom validator"""
validator_type = validator.get('type')
if validator_type == 'email':
if not self.validate_email(value):
return "Invalid email format"
elif validator_type == 'phone':
if not self.validate_phone(value):
return "Invalid phone number"
elif validator_type == 'url':
if not self.validate_url(value):
return "Invalid URL format"
elif validator_type == 'range':
min_val = validator.get('min')
max_val = validator.get('max')
if not self.validate_range(value, min_val, max_val):
return f"Value must be between {min_val} and {max_val}"
elif validator_type == 'length':
min_len = validator.get('min')
max_len = validator.get('max')
if not self.validate_length(value, min_len, max_len):
return f"Length must be between {min_len} and {max_len}"
elif validator_type == 'pattern':
pattern = validator.get('pattern')
if not self.validate_pattern(value, pattern):
return f"Value does not match required pattern"
return None
data_validator = DataValidator()
|