Metadata-Version: 2.1
Name: kivi.py
Version: 0.1.2
Summary: A simple key-value database
Home-page: https://github.com/Itz-fork/kivi.py
Download-URL: https://github.com/Itz-fork/kivi.py/releases/tag/kivi.py-pypi-0.1.2
Author: Itz-fork
Author-email: git.itzfork@gmail.com
License: MIT
Keywords: databse,key-value,key-value database,kivi.py
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/markdown
License-File: LICENSE

# Kivi.py 🥝

```py
from kivi import Kivi

db = Kivi()
db.kv_create("mydb", {"greeting-1": "Good morning 🌅"})
```

A simple key-value database that uses [JSON](https://www.json.org/json-en.html) 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

<img src="https://raw.githubusercontent.com/Itz-fork/Kivi.py/main/assests/crying.jpg" width=200, height=auto />


## Install

```
pip install kivi.py
```

## Usage
- [Init](#initialize-database)
- [Create](#create)
- [Load](#load)
- [Get](#get)
- [Set / Update](#set--update)
- [Merge](#merge)
- [Index](#index)
- [Query](#query)
- [Search](#search)

---

### Initialize database
```py
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](#create) or [merge](#merge)

---

### Create
Creates a new database and load it to the memory

- Arguments:
    - `name`: Name of the database
    - `data`: Dict consist of data

- Example:
    ```py
    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:
    ```py
    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:
    ```py
    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:
    ```py
    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:
    ```py
    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, set `to_std = True`

---

### Index

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 indexed
    - `chars`: Amount of characters that indexed key can have (Ex: "Spider" will be sliced to "spi" to create the key for index)
        
- Example:
    ```py
    data = [
        {"title": "Spooder man", "extract": "Marvel spooder man!"},
        {"title": "Iron deficiency man", "extract": "Marvel no Fe?"}
    ]
    db.kv_index(data, ["title", "extract"], 3)
    ```

---

### Query

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:
    ```py
    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 database
    - `strict`: Pass 'False' to get more results

- Example:
    ```py
    db.kv_search(0, "Spider man")
    ```


## How it works
Data is stored inside json files in the following format

```json
{
    "name": "lot",
    "items": {...}
}
```

`items` contains the inserted data as a string alongside it's original data type like this,
```json
{
    "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](#limitations))


## Requirements
- Python 3.5+
    - [dependecies](requirements.txt)


### 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
