SunshineDB 1.5

Lightweight json-database library for Python

Sunshine

Lightweight json-database library for Python

Installing database library

pip install SunshineDB

Class

Sunshine - database management class.

Has the following set of methods:

0. push()
1. all()
2. get()
3. update()
4. contains()
5. delete()
6. drop()
7. backup()

Creating database

You just need to create an instance of the Sunshine-class, passing the path to the json-file as an argument.

For example,

from SunshineDB import Sunshine

database: Sunshine = Sunshine('../databases/database.json')

Methods

Method examples will be given using the database variable we set.

push()

Adds an object with the given fields to the database.
Requires one argument:

• data_to_push (dictionary[string, any]) - the key-value dictionary to be added to the database.

Returns ID.

identifier: int = database.push(
    {
        'name'       : 'Bertram Gilfoyle',
        'job'        : 'Pied Piper Inc.',
        'occupation' : 'Vice President Of Architecture'
    }
)

print(identifier) 
# output >> 22104564398807 
#           ^^^^^^^^^^^^^^
# ID is 14-digit integer

all()

Returns all database objects.

data: list[dict[str, any]] = database.all()

print(data)
# output >> 
# [
#   {
#       'id': 22104564398807, 
#       'name': 'Bertram Gilfoyle', 
#       'job': 'Pied Piper Inc.', 
#       'occupation': 'Vice President Of Architecture'
#   }
# ]

get()

Returns a database object using a query, or returns the number of given elements in the first one up to the number specified in the count argument.
Requires two arguments:

• query (dictionary[string, any]) - a key-value dictionary that will be used to select elements,
• count (integer) - the number of requested elements.

You cannot use both arguments together.

data: list[dict[str, any]] = database.get(
    query = {
        'job' : 'Pied Piper Inc.'
    }
)

print(data)
# output >> 
# [
#   {
#       'id': 22104564398807, 
#       'name': 'Bertram Gilfoyle', 
#       'job': 'Pied Piper Inc.', 
#       'occupation': 'Vice President Of Architecture'
#   }
# ]

# And the same will be displayed if you call the get-method like this
data: list[dict[str, any]] = database.get(count = 1)

update()

Updates a database object with an ID.
Requires two arguments:

• id (14-digit integer) - numeric identifier,
• data_to_update (dictionary[string, any]) - the key-value dictionary that will be updated in the database object.

database.update(
    22104564398807, 
    {
        'occupation' : 'Network engineer'
    }
)
# changed to >> 
# [
#   {
#       'id': 22104564398807, 
#       'name': 'Bertram Gilfoyle', 
#       'job': 'Pied Piper Inc.', 
#       'occupation': 'Network engineer'
#   }
# ]

contains()

Checks by query, if an element is contained in the database.
Requires two arguments:

• key (string),
• value (any).

These arguments will be searched in the database.

Returns boolean.

data: bool = database.contains('name', 'Bertram Gilfoyle')
print(data)
# output >> True
#           ^^^^
# contains-method returns boolean

data: bool = database.contains('name', 'Dinesh Chugtai')
print(data)
# output >> False

delete()

Removes the object with the given ID from the database.
Requires one argument:

• id (14-digit integer) - numeric identifier,

database.delete(22104564398807)

# database-file >>
# {
#   "data": []
# }

drop()

Removes all objects from the database.

database.drop()

# database-file >>
# {
#   "data": []
# }

backup()

Creates a database backup at the given path.
Requires one argument:

• path (string) - path to the folder where the backup-file will be saved.

database.backup('../databases/backups/')

Author

     _      _  _               _ _   
  __| | ___| || |   ___  _   _| | |_ 
 / _` |/ _ \ || |_ / _ \| | | | | __|
| (_| |  __/__   _| (_) | |_| | | |_ 
 \__,_|\___|  |_|  \___/ \__,_|_|\__|

Thank you a lot!

How to reach me