Skip to main content

Reusable dbzero-backed data model utilities

Project description

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="user@example.test")

assert calendar.get(date(2026, 1, 1)) == "available"
assert queue.pop_front(1) == [
    {"kind": "email", "recipient": "user@example.test"},
]

db0.close()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dbzero_modelkit-1.0.0.tar.gz (16.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dbzero_modelkit-1.0.0-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file dbzero_modelkit-1.0.0.tar.gz.

File metadata

  • Download URL: dbzero_modelkit-1.0.0.tar.gz
  • Upload date:
  • Size: 16.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dbzero_modelkit-1.0.0.tar.gz
Algorithm Hash digest
SHA256 13095627cc6a3193a0b51e62e853bcd62b81e6081f34fe74f78b74dad522e034
MD5 969d85c283b572fdca04eb807ff318a8
BLAKE2b-256 d1b802656b4c0355b2877eb062359183621b5423b39e22dca17e5e57da869d3f

See more details on using hashes here.

Provenance

The following attestation bundles were made for dbzero_modelkit-1.0.0.tar.gz:

Publisher: publish.yml on dbzero-software/dbzero-modelkit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dbzero_modelkit-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for dbzero_modelkit-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3324d0a5119e511d3f3636e3b9604f380829207227f44646bf6f178ac6ba2d71
MD5 449bcac33d59a589456d40074fb6157d
BLAKE2b-256 79bcb91dcf1d7c684249e7030857f83657fca599f7ec8e6d23b5830876cf6aa4

See more details on using hashes here.

Provenance

The following attestation bundles were made for dbzero_modelkit-1.0.0-py3-none-any.whl:

Publisher: publish.yml on dbzero-software/dbzero-modelkit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page