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simple DAO builder and abstraction for sqlite

Project description


PyPI version   Python 3.x   PyPI license   Downloads   Unit Test

A simplified DAO for SQL abstraction for personal projects.

pip install sqlitedao

Demo project: sqlite_img_app


Create Table easily:

from sqlitedao import SqliteDao

dao = SqliteDao.get_instance(DB_PATH)

create_table_columns = {
    "name": "text",
    "position": "text",
    "age": "integer",
    "height": "text"
dao.create_table(TEST_TABLE_NAME, create_table_columns)

Or with a bit more control:

from sqlitedao import ColumnDict

columns = ColumnDict()
    .add_column("name", "text", "PRIMARY KEY")\
    .add_column("position", "text")\
    .add_column("age", "integer")\
    .add_column("height", "text")
create_table_indexes = {
    "name_index": ["position"]
dao.create_table(TEST_TABLE_NAME, columns, create_table_indexes)

Retrieve items as a list of python dictionaries:

from sqlitedao import SearchDict

search = SearchDict().add_filter("age", 50, operator=">")
rows = xdao.search_table(TEST_TABLE_NAME, search)
# [{"name": "Michael Jordan", "position": "SG", "age": 56, "height": "6-6"}]

Create DAO classes by inheriting TableItem easily and deal with less code:

from sqlitedao import TableItem

class Player(TableItem):

    INDEX_KEYS = ["name"]
        "name": str,
        "position": str,
        "age": int,
        "height": str

    def __init__(self, row_tuple=None, **kwargs):
        super().__init__(row_tuple, **kwargs)

    def load_tuple(self): = self.row_tuple["name"]
        self.position = self.row_tuple["position"]
        self.age = self.row_tuple["age"]
        self.height = self.row_tuple["height"]

    def grow(self):
        self.age += 1
        self.row_tuple['age'] += 1

# Perform DAO action with above structured class

see test files for more examples. This can greatly simplify and ease the creation cost for pet projects based on sqlite.

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