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An easy and fun way to permanently store python objects.
An easy and fun way to store python objects.
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Object Bucket is a python package that allows you to store python objects permanently in a more user friendly way.
The object-bucket package can be installed by using pip.
pip install object-bucket
from object_bucket import Bucket
test_bucket = Bucket("name-of-the-bucket")
test_obj = [1, 2, 3, 4]
test_bucket.add_droplet("droplet-name", test_obj)
Trying to add a droplet with the same name will cause an error.
add_droplets
method.
droplets = {
"one": 1,
"two": 2,
"three": [2, 3, 4]
}
test_bucket.add_droplets(droplets)
new_obj = {1: "a"}
test_bucket.modify_droplet("droplet-name", new_obj)
Trying to modify a droplet that does not exists will cause an error.
All the things mentioned above will not be added or saved permanently, to do so it is necessary to save the bucket.
test_bucket.save_bucket()
from object_bucket import Bucket
test_bucket = Bucket("name-of-the-bucket")
a = test.bucker.get_droplet("droplet-name")
print(a) # {1: "a"}
Trying to get a droplet that does not exists will cause an error.
drop1 = [1, 2, 3, 4]
drop2 = "Hello"
drop3 = {1: "a", 2: "b"}
test_bucket.add_droplet("drop1", drop1)
test_bucket.add_droplet("drop2", drop2)
test_bucket.add_droplet("drop3", drop3)
# to get all the droplets
a = test_bucket.get_all_droplets()
print(a)
# output
{"drop1": [1, 2, 3, 4], "drop2": "Hello", "drop3": {1: "a", 2: "b"}}
test_bucket.delete_bucket()
remove_bucket
function
from object_bucket import remove_bucket
remove_bucket("name-of_bucket_to_be_removed", bucket_file_path="file-path-of-the-bucket")
It might be a hastle to remember to save to bucket, so you can use the context manager to avoid using the ""save_bucket"" method.
Note Using ""Bucket().delete_bucket"" inside the context
manager is useless as at the end the file will be saved automatically.
manager is useless as at the end the file will be saved automatically.
from object_bucket import Bucket
with Bucket("name-of-the-bucket") as b:
# code to execute
b.add_droplet("name", 1)
# ...etc
b.delete_bucket() # wont work as the file will be again saved,
# but the runtime contents will be cleared
from object_bucket import Bucket
t = Bucket("name")
if t:
print("Hello") # -> does not print anything as bucket is empty
t.add_droplet("demo", 1)
if t:
print("Hello 2") # -> prints "hello 2" as the bucket has at least one droplet
len
method
from object_bucket import Bucket
t = Bucket("name")
print(len(t)) # -> 0
t.add_droplet("demo", [1, 2, 3])
print(len(t)) # -> 1
This will work with any python object, including functions, classes, lambda functions ..etc
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