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Wrapper around sqlite3 which allows working simply with python dictionaries as well as combining it with sql syntax.

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sqlite3dict

Wrapper around sqlite3 which allows working simply with python dictionaries as well as combining it with sql syntax.

Installation

Use the package manager pip to install sqlite3dict.

pip install sqlite3dict

Usage

from sqlite3dict import Storage

from datetime import datetime

# ******************************************************************************
# * Test
# ******************************************************************************
with Storage("test.sqlite") as store:

    definitions = {
        "name": "TEXT", 
        "age": "INTEGER", 
        "amount": "DOUBLE", 
        "createdate": "DATETIME",
        "resident": "BOOLEAN"
    }

    # This creates the table (collection) only if it does not exist already
    collection = store.init_collection("test", definitions)
    
    # Insert data
    collection.insert({
        "name": "John Doe", 
        "age": 25, 
        "amount": 100.23, 
        "createdate": datetime.now(),
        "resident": True,
        "additional": {
            "prop1": 1,
            "prop2": 1,
            "other": ["A", "B"]
        }
    })
    
    collection.insert({
        "name": "John Doe", 
        "age": 10, 
        "amount": 100.00, 
        "createdate": datetime.now(),
        "resident": True
    })
    
    # Update inserted data by given criteria
    collection.update().data({
        "createdate": datetime.now(), 
        "age": 15, 
        "amount": 99.38, 
        "resident": False
    }).where("age = 25").execute()
    
    # Simple query for data
    list = collection.query().where("age = 15").limit(10).offset(0).order("createdate", "ASC").order("ID").execute()
                     
    for item in list:
        print("item:", item)
    
    # Delete data by given criteria
    collection.delete().where("age = 15").execute()
    
    # Native SQL query in case you still need it
    items = store.query_native("select * from test")
    for item in items:
        print("native item:", item)
    
    # Drop table (collection)    
    store.delete_collection("test") 

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

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Wrapper around sqlite3 which allows working simply with python dictionaries as well as combining it with sql syntax.

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