sqlitedao 0.2.1

simple single file dao for sqlite

SqliteDao

     

A simplified DAO for SQL abstraction for personal projects. All in one file.

pip install sqlitedao

Examples

Create Table easily:

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:

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

INSERT:

lebron = {"name": "LeBron James", "position": "SF", "age": 35, "height": "6-8.5"}
kobe = {"name": "Kobe Bryant", "position":  "SG", "age": 41, "height": "6-6"}
jordan = {"name": "Michael Jordan", "position": "SG", "age": 56, "height": "6-6"}
dao.insert_rows(TEST_TABLE_NAME, [lebron, kobe, jordan])

READ:

result = dao.search_table(TEST_TABLE_NAME, {"position": "SG"})
[{'name': 'Kobe Bryant', 'position': 'SG', 'age': 41, 'height': '6-6'},
 {'name': 'Michael Jordan', 'position': 'SG', 'age': 56, 'height': '6-6'}]

Or with more search operations:

result = dao.search_table(TEST_TABLE_NAME, SearchDict().add_filter("age", 40, operator="<"))
result = dao.search_table(TEST_TABLE_NAME, SearchDict().add_filter("age", 40, operator="<"), group_by=["positions"])
result = dao.search_table(TEST_TABLE_NAME, {}, order_by=["age"])

UPDATE:

dao.update_many(TEST_TABLE_NAME, [{"age": 30}, {"age": 40}], [{"name": "A"}, {"name": "B"}])

update_row, update_rows is also available with slightly different functionality.

DELETE:

dao.delete_rows(TEST_TABLE_NAME, {"position": "SG"})

Same for update and deletion.

Create classes inheriting TableItem easily and deal with even less code,

dao.insert_item(item)
dao.insert_items(items)
dao.update_item(changed_item)
dao.update_items(changed_items)
dao.find_item(item_with_only_index_populated)
...

see test/item_test.py for example.

Helpers

1. SearchDict: allow more comparators than "="

2. ColumnDict: allow 'primary key && not null' to columns.

• 1, 2 not needed for full functions

3. TableItem: baseclass for python items <-> db row connection.