Stora is a simple, reactive local storage library.

>>> from stora import stora
>>> apple = {"name": "Apple", "price": "10", "size": "small"}
>>> s = stora(apple)
>>> s.state
'{"name": "Apple", "price": "10", "size": "small"}'
>>> s.file
'/home/user/project/state.json'
>>> s.state["size"] = "middle"
>>> s.state
'{"name": "Apple", "price": "10", "size": "middle"}'

Stora allows you to save dict to local as json extremely easily. There’s no need to manually open file and read, or save file after change your dict data — but nowadays, just editor the state, and Stora will automatically save for you!

Stora is a new Python package, welcome issue and pull request.

Stora is available on PyPI:

$ python3 -m pip install stora

Stora only support Python 3.6+.

Stora is ready for simple data storage.

if you need high performance, use a professional database is a better choice.

• Data persistence saving.
• Synchronize data saving to local.
• Customizable file names.
• Customize the save directory.
• Save format is json by default.
• Read format is dict by default.
• TODO Save files asynchronously
• TODO Debounce function

Stora will save data as state.json in current working directory.

from stora import stora
apple = {"name": "Apple", "price": "10", "size": "small"}
s = stora(apple)
print(s.state) # {"name": "Apple", "price": "10", "size": "small"}

PS: You can also decide the filename and filepath.

s = stora(apple, filename='apple.json', filepath='~/.data/')

Now open state.json, you will see:

{
    "name": "Apple",
    "price": "10",
    "size": "small"
}

Next time when you initialize a stora class in the same working directory, Stora will search if there is a file called state.json, if it exists it will load it and return a reactive dict.

from stora import stora
s = stora()    # Stora will search state.json and load it
print(s.state) # {"name": "Apple", "price": "10", "size": "small"}

PS: If the filename and filepath are specified, use the following code to initialize it.

s = stora(filename='apple.json', filepath='~/.data/')

Fetching and assignment operations are exactly the same as dict.

# Fetching
print(s.state['name']) # Apple
print(s.state['price']) # 10
# Assignment
s.state['name'] = 'Banana'
s.state['price'] = 20

Now you will see that the contents of the state.json have changed.

{
    "name": "Banana",
    "price": "20",
    "size": "small"
}

Here's a feature that may cause confusion. If initialize stora again,

from stora import stora
apple = {"name": "Apple", "price": "10", "size": "small"}
s = stora(apple)
print(s.state) # {"name": "Banana", "price": "20", "size": "small"}

run print(s.state), you will find the data is not what you assign to stora, it's data saved in state.json .

That's because stora sets the data already read under the current filepath and filename to a higher priority in order to prevent data loss.

You can force an overwrite of the stora state, or define a new stora with different filename or filepath.

s1 = stora(apple, force=True) # force an overwrite
s2 = stora(apple, filename='apple-10.json') # define a new stora with different filename or filepath

Coming soon.

git clone https://github.com/louisyoungx/stora.git