How to get an AWS KMS Key description in python with boto3
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Python | Get an AWS KMS Key description in python with boto3
The describe_key() function is used to get the key description. It takes KeyArn and returns a dictionary having KeyMetadata.
These are some necessary items that let you get the key description
import boto3
AWS_ACCESS_KEY_ID = 'some-access-key-id'
AWS_SECRET_ACCESS_KEY = 'some-aws-secret-access-key'
REGION_NAME = 'eu-west-1'
Now creating a botocore.client.KMS object
kms_client = boto3.client(
'kms',
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
region_name=REGION_NAME
)
Key Description
Now call the describe_key() function with KeyArn. KeyArn is the combination of AWSAccountId and KeyId. e.g: KeyArn = arn:aws:kms:eu-west-1:<AWSAccountId>:key/<KeyId>
key_info = kms_client.describe_key(KeyId=arn:aws:kms:eu-west-1:444444444444:key/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx)
lets check key_info
print(key_info)
'''
Output :
{
'KeyMetadata': {
'AWSAccountId': '444444444444',
'KeyId': 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
'Arn': 'arn:aws:kms:eu-west-1:444444444444:key/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
'CreationDate': datetime.datetime(2020, 1, 1, 0, 18, 25, 914000, tzinfo=tzlocal()),
'Enabled': True,
'Description': 'This is the first encryption key',
'KeyUsage': 'ENCRYPT_DECRYPT',
'KeyState': 'Enabled',
'Origin': 'AWS_KMS',
'KeyManager': 'CUSTOMER',
'CustomerMasterKeySpec': 'SYMMETRIC_DEFAULT',
'EncryptionAlgorithms': ['SYMMETRIC_DEFAULT']
},
'ResponseMetadata': {
'RequestId': '22b6022a-3cca-4444-a333-0a621b99fa39',
'HTTPStatusCode': 200,
'HTTPHeaders': {
'x-amzn-requestid': '22b6022a-3cca-4444-a333-0a621b99fa39',
'cache-control': 'no-cache, no-store, must-revalidate, private',
'expires': '0',
'pragma': 'no-cache', 'date': 'Tue, 13 Apr 2020 09:18:33 GMT',
'content-type': 'application/x-amz-json-1.1',
'content-length': '513'
},
'RetryAttempts': 0
}
}
'''
now, lets get only key details
print(key_info['KeyMetadata'])
'''
Output :
{
'AWSAccountId': '444444444444',
'KeyId': 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
'Arn': 'arn:aws:kms:eu-west-1:444444444444:key/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
'CreationDate': datetime.datetime(2020, 1, 1, 0, 18, 25, 914000, tzinfo=tzlocal()),
'Enabled': True,
'Description': 'This is the first encryption key',
'KeyUsage': 'ENCRYPT_DECRYPT',
'KeyState': 'Enabled',
'Origin': 'AWS_KMS',
'KeyManager': 'CUSTOMER',
'CustomerMasterKeySpec': 'SYMMETRIC_DEFAULT',
'EncryptionAlgorithms': ['SYMMETRIC_DEFAULT']
}
'''
Tips and Tricks
What is pass in Python?
Python | Pass Statement
The pass statement is used as a placeholder for future code. It represents a null operation in Python. It is generally used for the purpose of filling up empty blocks of code which may execute during runtime but has yet to be written.
def myfunction():
pass
How can you generate random numbers?
Python | Generate random numbers
Python provides a module called random using which we can generate random numbers. e.g: print(random.random())
We have to import a random module and call the random() method as shown below:
import random
print(random.random())
The random() method generates float values lying between 0 and 1 randomly.
To generate customized random numbers between specified ranges, we can use the randrange() method
Syntax: randrange(beginning, end, step)
import random
print(random.randrange(5,100,2))
What is lambda in Python?
Python | Lambda function
A lambda function is a small anonymous function. This function can have any number of parameters but, can have just one statement.
Syntex:
lambda arguments : expression
a = lambda x,y : x+y
print(a(5, 6))
It also provides a nice way to write closures. With that power, you can do things like this.
def adder(x):
return lambda y: x + y
add5 = adder(5)
add5(1) #6
As you can see from the snippet of Python, the function adder takes in an argument x and returns an anonymous function, or lambda, that takes another argument y. That anonymous function allows you to create functions from functions. This is a simple example, but it should convey the power lambdas and closures have.
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It is a string's function that converts all uppercase characters into lowercase and vice versa. It automatically ignores all the non-alphabetic characters.
string = "IT IS IN LOWERCASE."
print(string.swapcase())
How to remove whitespaces from a string in Python?
Python | strip() Function | Remove whitespaces from a string
To remove the whitespaces and trailing spaces from the string, Python provides a strip([str]) built-in function. This function returns a copy of the string after removing whitespaces if present. Otherwise returns the original string.
string = " Python "
print(string.strip())
What is the usage of enumerate() function in Python?
Python | enumerate() Function
The enumerate() function is used to iterate through the sequence and retrieve the index position and its corresponding value at the same time.
lst = ["A","B","C"]
print (list(enumerate(lst)))
#[(0, 'A'), (1, 'B'), (2, 'C')]
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- filter() function accepts two arguments, a function and an iterable, where each element of the iterable is filtered through the function to test if the item is accepted or not.
>>> set(filter(lambda x:x>4, range(7))) # {5, 6}
-
map() function calls the specified function for each item of an iterable and returns a list of result
>>> set(map(lambda x:x**3, range(7))) # {0, 1, 64, 8, 216, 27, 125}
-
reduce() function reduces a sequence pair-wise, repeatedly until we arrive at a single value..
>>> reduce(lambda x,y:y-x, [1,2,3,4,5]) # 3
Let’s understand this:
2-1=1
3-1=2
4-2=2
5-2=3Hence, 3.
What is a namedtuple?
Python | namedtuple
A namedtuple will let us access a tuple’s elements using a name/label. We use the function namedtuple() for this, and import it from collections.
>>> from collections import namedtuple
#format
>>> result=namedtuple('result','Physics Chemistry Maths')
#declaring the tuple
>>> Chris=result(Physics=86,Chemistry=92,Maths=80)
>>> Chris.Chemistry
# 92
Write a code to add the values of same keys in two different dictionaries and return a new dictionary.
We can use the Counter method from the collections module
from collections import Counter
dict1 = {'a': 5, 'b': 3, 'c': 2}
dict2 = {'a': 2, 'b': 4, 'c': 3}
new_dict = Counter(dict1) + Counter(dict2)
print(new_dict)
# Print: Counter({'a': 7, 'b': 7, 'c': 5})
Python In-place swapping of two numbers
Python | In-place swapping of two numbers
>>> a, b = 10, 20
>>> print(a, b)
10 20
>>> a, b = b, a
>>> print(a, b)
20 10
Reversing a String in Python
Python | Reversing a String
>>> x = 'PythonWorld'
>>> print(x[: : -1])
dlroWnohtyP
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>>> x = ["Python", "Online", "Training"]
>>> print(" ".join(x))
Python Online Training
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Python | Return multiple values from functions
>>> def A():
return 2, 3, 4
>>> a, b, c = A()
>>> print(a, b, c)
2 3 4
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>>> s = 'Python'
>>> n = 5
>>> print(s * n)
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>>> x = 100
>>> print(sys.getsizeof(x))
28