A simple key-value database
Project description
Kivi.py 🥝
from kivi import Kivi
db = Kivi()
db.kv_create("mydb", {"greeting-1": "Good morning 🌅"})
A simple key-value database that uses JSON to store data
Supported data types
- String
- Boolean
- Integer
- Float
- Lists
- Dict
- Datetime
Why?
I just wanted a simple database to play around, why everything is so complex
Install
pip install kivi.py
Usage
Initialize database
from kivi import Kivi
db = Kivi(
src="Where the database files should be stored. Defaults to `os.getcwd()/.kivi_db`",
to_load=["path/to/file.json"])
[!NOTE]
to_load
only takes json file with default kivi format. If you want to store regular json data use create or merge
Create
Creates a new database and load it to the memory
-
Arguments:
name
: Name of the databasedata
: Dict consist of data
-
Example:
db.kv_create("wow", {"user-1": 123456})
Load
[!Note] It is recommended to load databases when initializing the database with
Kivi(to_load=[...])
Loads database into the memory
-
Arguments:
- data: Path to a json file or python dict
-
Returns: Index of the database
-
Example:
db.kv_load("/home/test/data/stuff.json")
Get
Get value from a database
-
Arguments:
index
: Index of the database (returned in kv_load or when creating the instance)key
: Key!
-
Example:
db.kv_get(0, "greeting")
Set / Update
Add or update key in a database
-
Arguments:
index
: Index of the database (returned in kv_load or when creating the instance)key
: Key!
-
Example:
db.kv_set(0, "gtr1", "greeting")
Merge
Merge data into the database
-
Arguments:
- index: Index of the database (returned in kv_load or when creating the instance)
- tomerge: Dict consist of data that needs to be merged
-
Example:
dt = { "thing-1": [123, True, {'user1': 'gibberish?#45'}], "thing-2": [123, True, {'user2': 'gibberish?#45', 'nuh': True}] } db.kv_merge(index=0, tomerge=dt, to_std=True)
[!Note] If the
tomerge
dict is not in the kivi formatting, setto_std = True
Index
WIP
Index data to perform queries much faster
-
Arguments:
data
: Data to index (a dict or list of dicts)fields
: Json fields that needs to be indexedchars
: Amount of characters that indexed key can have (Ex: "Spider" will be sliced to "spi" to create the key for index)
-
Example:
data = [ {"title": "Spooder man", "extract": "Marvel spooder man!"}, {"title": "Iron deficiency man", "extract": "Marvel no Fe?"} ] db.kv_index(data, ["title", "extract"], 3)
Query
WIP
Search for string in an indexed database
-
Arguments:
index
: Index of the database (returned in kv_load or when creating the instance)query
: String to search for in the database
-
Example:
db.kv_query(0, "Spider man")
Search
Search for string in a database
-
Arguments:
index
: Index of the database (returned in kv_load or when creating the instance)query
: String to search for in the databasestrict
: Pass 'False' to get more results
-
Example:
db.kv_search(0, "Spider man")
How it works
Data is stored inside json files in the following format
{
"name": "lot",
"items": {...}
}
items
contains the inserted data as a string alongside it's original data type like this,
{
"name": "lot",
"items": {
"thing-1": [
"{'user': 'gibberish?#45'}",
"dict"
],
"thing-2": [
"{'user': 'gibberish?#45'}",
"dict"
]
}
}
When you request data using kv_get
function, data will be automatically converted back to it's original type (limitations)
Requirements
- Python 3.5+
Limitations
The data convertion has lots of limits as of now (I don't plan of updating this either).
For example:
- Complex json structures will fail to convert
Project details
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