MercurySQLite 0.1.2

Use built-in sqlite3 library to operate sql in a more pythonic way.

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MercurySQLite

Operate SQLite in a more pythonic way.

What is it

Operate SQLite database in a more Pythonic way.

For example....

Create Database

SQL

CREATE DATABASE IF NOT EXISTS test;

MercurySQLite

db = DataBase('test')

Create Table

SQL

CREATE TABLE IF NOT EXISTS test (
    id INTEGER PRIMARY KEY
);

MercurySQLite

table = db['test']
table.newColumn('id', int, primaryKey=True)

Delete Table

SQL

DROP TABLE IF EXISTS test;

MercurySQLite

del db['test']

Add Column

SQL

ALTER TABLE test
ADD COLUMN name TEXT;

MercurySQLite

table['name'] = str

Add Primary Key Column

SQL

ALTER TABLE test
ADD COLUMN id INTEGER PRIMARY KEY;

MercurySQLite

table['id'] = int, 'Primary Key'  # 'Primary Key' is case-insensitive

Delete Column

SQL

ALTER TABLE table
DROP COLUMN name;

MercurySQLite

del table['name']

Add Record

SQL

INSERT INTO test (id, name) VALUES (1, 'Bernie Huang');

MercurySQLite

table.insert(id=1, name='Bernie Huang')

Query

SQL

SELECT * FROM test WHERE id=1 AND name='Bernie Huang';

MercurySQLite

rec = table.select(
      (table['id'] == 1) & \
      (table['name'] == 'test')
)   # rec = [{'id': 1, 'name': 'Bernie Huang'}]

Delete Record

SQL

DELETE * FROM test WHERE id=1 AND name='Bernie Huang';

MercurySQLite

((table['id'] == 1) & (table['name'] == 'test')).delete()

Dependencies:

• sqlite3 (comes with Python)

  So ... no dependencies!

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Why is it called MercurySQLite

(===== The following is just some fun speculation by ChatGPT, don't mind it =====)

Speed and Agility: Mercury is the messenger god in ancient Roman mythology, and is synonymous with speed and flexibility. By putting "Mercury" in the name of the library, you might want to convey the speed and agility of this library when handling SQLite databases.

Lightweight: Mercury is a relatively light metal, which may indicate that your library is designed to be lightweight, suitable for resource-sensitive environments such as embedded systems or mobile devices.

Fluidity: Mercury is a liquid metal at room temperature, with good fluidity. This may symbolize that your library provides a smooth API, making operations on SQLite databases more flexible and easy.

Accuracy: Under temperature changes, mercury shows a stable volume, which makes it widely used in thermometers. This may indicate that your library is accurate and stable when handling data, with good reliability.

Chemical Stability: Mercury is a chemically stable element and does not easily react with other elements. This may mean that your library is stable and not prone to conflicts when integrated with other Python libraries or frameworks.