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PostgreSQL range type support for Canonical's Storm ORM using Spans

Project description

StormSpans

StormSpans brings support for PostgreSQL’s range types to Canonical’s Storm ORM using PsycoSpans paired with Spans.

This package’s functionality probably be merged with storm-legacy in the future.

Installation

Psycospans exists on PyPI.

pip install psycospans

Documentation

For full doumentation please run pydoc stormspans from a shell.

Example

from spans import intrange
from storm.locals import *
from stormspans import IntRange


class Model(Storm):
    id = Int(primary=True)
    span = IntRange(default=intrange(1, 10))

    def __init__(self, span):
        self.span = span


# NOTE: URI must start with postgres+spans://
store = Store(create_database("postgres+spans://<url>"))
store.execute("""
    CREATE TABLE int_range_test(
        id SERIAL,
        span int4range
    )
""")

store.add(Model(intrange(1, 100))
store.commit()

Changelog

Version 1.0.0

Released on 9th October 2018

  • Added support for storm-legacy
  • Added support for Python 3.4 and later. Note that this only work with storm-legacy since Storm is not Python 3 compatible

Version 0.1.0

Released 12th June 2014

  • Initial commit

Project details


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