Puchikarui

Puchikarui is a minimalist SQLite helper library for Python 3 which supports ORM features.

Sample code

from puchikarui import Database

setup_script = """
CREATE TABLE person(
   ID INTEGER PRIMARY KEY AUTOINCREMENT,
   name TEXT NOT NULL,
   age INTEGER);"""
db = Database("test/data/demo.db",
              setup_script=setup_script)
# create new persons
for name, age in zip("ABCDE", range(20, 25)):
    db.insert("person", name=f"Person {name}", age=age)
# update data
db.update("person", "age = age + 2", where="age >= 20")
# Select data using parameters
for person in db.select("person", where="age > ?", values=(23,)):
    print(dict(person))

Sample ORM code

from puchikarui import Database

INIT_SCRIPT = '''
CREATE TABLE person (
       ID INTEGER PRIMARY KEY AUTOINCREMENT,
       name TEXT,
       age INTEGER
);
'''

class PeopleDB(Database):
  def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.add_script(INIT_SCRIPT)
        self.add_table('person', 'ID name age', id_cols='ID')


db = PeopleDB('test.db')
people = db.person.select()
# create sample people records in the first run
if not people:
  print("Creating people records ...")
  for name, age in zip('ABCDE', range(20, 25)):
    db.person.insert(f'Person {name}', age)
  people = db.person.select()

print("All people")
print("----------------------")
for person in people:
  print(person.ID, person.name, person.age)

For more information please see puchikarui documentation.

Installation

puchikarui is available on PyPI and can be installed using pip.

pip install puchikarui

Why puchikarui

puchikarui is a tiny, 100% pure-Python library that provides extra functionality to Python 3’s sqlite3 module. It helps working directly with sqlite3 easier, with less magic, and more control, rather than hiding sqlite3 module away from the users.

Although puchikarui does provide some ORM-like features, it is NOT an ORM library. If you want ORM features, please consider PonyORM, SQLAlchemy, or peewee.

Features

• Working with simple use cases is simple (e.g. just create a new DB object with db = Database('file.db') and start working)
• Database can be loaded into memory before querying for boosting up performance
• connections and cursors can be created, used, and closed automatically or manually
• Flexible execution context management (single or multiple cursors)
• Use up-to-date database best practices (using parameters to prevent SQL injection, optimize settings for buck insert, et cetera)
• Defining database schemas is simple

Meaning

The name puchikarui came from two Japanese words プチ (puchi) which means small, and 軽い (karui), which means light, soft, and gentle.

It represents the motivation for developing this library: a tiny, lightweight library that makes working with sqlite3 simpler.

$ python3 -m jamdict lookup "プチ"
========================================
Found entries
========================================
Entry: 1115200 | Kj:   | Kn: プチ
--------------------
1. small ((prefix))

$ python3 -m jamdict lookup "軽い"
========================================
Found entries
========================================
Entry: 1252560 | Kj:  軽い | Kn: かるい, かろい
--------------------
1. light (i.e. not heavy)/feeling light (i.e. offering little resistance, moving easily) ((adjective (keiyoushi)))
2. light (i.e. of foot)/effortless/nimble/agile ((adjective (keiyoushi)))
3. non-serious/minor/unimportant/trivial ((adjective (keiyoushi)))
4. slight/small/gentle/soft/easy/lighthearted (e.g. joke) ((adjective (keiyoushi)))
5. easy/simple ((adjective (keiyoushi)))
6. indiscriminate ((adjective (keiyoushi)))