def schemaValidate(line_dict, schema_data):
"""
Consumes schema_data dict and validates data types and field specifications as mentioned in schema.json by invoking Validator() instance methods
Returns a dictionary, error_dict that contains key, value pairs corresponding to the schema mismatches observed in each json record
"""
line_obj = Validator(line_dict)
for key in schema_data['properties'].keys():
key_type = schema_data['properties'][key]['type']
if schema_data['properties'][
key]['is_required'] == "yes" and line_obj.line_dict.get(
key, 'NA') == 'NA':
line_obj.error_dict[key] = "Null Data Entry"
continue
if key_type == "string":
line_obj.isVarchar(
key, schema_data['properties'][key].get('field_len', None))
elif key_type == "int":
line_obj.isDigit(
key, schema_data['properties'][key].get('field_len', None))
elif key_type == "email":
line_obj.isValidEmail(key)
elif key_type == "datetime":
line_obj.isDateTime(key,
schema_data['properties'][key]['date_format'])
elif key_type == "enum":
line_obj.isValidEnum(key,
schema_data['properties'][key]['enum_list'])
else:
pass
if line_obj.error_dict.get('birth_date',
'NA') == 'NA' and line_obj.error_dict.get(
'created_at', 'NA') == 'NA':
#run isEighteen check only if Birth_Date and created_at are valid and not null
isEighteen(line_obj, line_obj.line_dict['birth_date'],
line_obj.line_dict['created_at'])
hasValidId(line_obj)
return line_obj.error_dict
