dbzero-modelkit 1.1.1

Reusable dbzero-backed data model utilities

dbzero-modelkit

Reusable model primitives for projects that store Python objects with dbzero.

dbzero-modelkit provides small, focused building blocks for common model patterns: sparse calendars, active-date windows, month-indexed storage, multilingual strings, FIFO queues, and tag-based object locks. The package is application-neutral and is intended to be imported by any Python project using dbzero.

Installation

pip install dbzero-modelkit

Requirements:

• Python 3.9 or newer
• dbzero>=0.3.0

Included Models

• ActiveBase and ActiveIndex for objects that are active only within a date or datetime range.
• Calendar, MonthCalendar, get_month_index, and get_date_from_month_index for sparse date-based values.
• LanguageCode and ML_String for primary text values with optional translations.
• FiFoQueue and FQ_Item for dbzero-backed FIFO queues.
• MonthStore for one-object-per-month storage with lazy item creation.
• ObjectLock for temporary tag-based locking of dbzero objects.

Quick Start

Initialize dbzero before creating or loading dbzero-backed model objects:

from datetime import date

import dbzero as db0

from dbzero_modelkit import Calendar, FiFoQueue

db0.init("./db0_data", read_write=True)
db0.open("main", "rw")

calendar = Calendar(base_year=2026)
calendar.set(date(2026, 1, 1), "available")

queue = FiFoQueue()
queue.push_back(kind="email", recipient="[e-mail]")

assert calendar.get(date(2026, 1, 1)) == "available"
assert queue.pop_front(1) == [
    {"kind": "email", "recipient": "[e-mail]"},
]

db0.close()