Django field and PostgreSQL backend for infinity timestamp support with psycopg3
Project description
Django field and PostgreSQL backend for infinity timestamp support with psycopg >=3.
Maps PostgreSQL’s infinity / -infinity timestamp values to datetime.max / datetime.min in Python, making them usable as regular DateTimeField values in Django models.
Currently only DateTimeField is supported. DateField and TimeField infinity values are not yet handled. Contributions welcome!
Installation
pip install django-psycopg-infinity
Configuration
Set the custom database backend in your Django settings:
DATABASES = {
"default": {
"ENGINE": "django_psycopg_infinity.backends.postgresql",
# ... other settings
},
}
Then use DateTimeInfinityField in your models:
from django.db import models
from django_psycopg_infinity.fields import DateTimeInfinityField
class MyModel(models.Model):
valid_until = DateTimeInfinityField(null=True, blank=True)
Usage
from datetime import datetime
# Store positive infinity
obj.valid_until = datetime.max
obj.save()
# Or use the string representation
obj.valid_until = "infinity"
obj.save()
# Retrieve - always returns an aware datetime
obj.refresh_from_db()
assert obj.valid_until.replace(tzinfo=None) == datetime.max
Development
Tests require a running PostgreSQL instance:
cp .env.example .env # edit as needed
uv run runtests.py
Releasing
Releases are published to PyPI automatically when a version tag is pushed. The CI runs the full test suite before publishing.
Create a new release on GitHub with a v-prefixed tag (e.g. v0.1.0) and the workflow handles the rest.
Versioning is derived from git tags via hatch-vcs, so there are no version strings to update manually.
License
Apache-2.0
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file django_psycopg_infinity-0.1.0.tar.gz.
File metadata
- Download URL: django_psycopg_infinity-0.1.0.tar.gz
- Upload date:
- Size: 11.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e004e8d55991dd733e4abb844466e3daeb6f2a50b298457f7462bd20198d400c
|
|
| MD5 |
e2b10ec53602e5c3d4014c8025b78170
|
|
| BLAKE2b-256 |
ff6291e11de1501fed49e9f76174d610bff2717bb5d8071abe9c86824f72a94f
|
File details
Details for the file django_psycopg_infinity-0.1.0-py3-none-any.whl.
File metadata
- Download URL: django_psycopg_infinity-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
26fb2584f1748067e1b9ef8182cbe21d9211abdaf1fd22739ab77948dae7f9ab
|
|
| MD5 |
9ed0164b19493a50bd33ee2bc13a60fe
|
|
| BLAKE2b-256 |
7182dbf21af8274b31a08f856225d74ff47bd4c0866e14bf97596d9dfb38b618
|