Skip to main content

Provides a relational query language that is pythonic and intuitive. Entity Query Language serves as a front end to other query languages like sql or prolog

Project description

Entity Query Language (EQL)

EQL is a relational query language that is pythonic, and intuitive.

The interface side of EQL is inspired by euROBIN entity query language white paper.

Installation

pip install entity_query_language

Documentation

Read the documentation here.

Example Usage

An important feature of EQL is that you do not need to do operations like JOIN in SQL, this is performed implicitly. EQL tries to mirror your intent in a query statement with as less boiler plate code as possiple. For example an attribute access with an equality check to another value is as simple as using python's dot notation with the equality operator. For example:

from entity_query_language import entity, an, let
from dataclasses import dataclass
from typing_extensions import List


@dataclass(unsafe_hash=True)
class Body:
    name: str


@dataclass(eq=False)
class World:
    id_: int
    bodies: List[Body]


world = World(1, [Body("Body1"), Body("Body2")])

results_generator = an(entity(body := let("body", type_=Body, domain=world.bodies), body.name == "Body2")).evaluate()
results = list(results_generator)
assert results[0].name == "Body2"

where this creates a body variable that gets its values from world.bodies, and filters them to have their att "name" equal to "Body1".

To Cite:

@software{bassiouny2025eql,
author = {Bassiouny, Abdelrhman},
title = {Entity-Query-Language},
url = {https://github.com/AbdelrhmanBassiouny/entity_query_language},
version = {1.3.0},
}

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

entity_query_language-1.4.0.tar.gz (84.6 kB view details)

Uploaded Source

Built Distribution

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

entity_query_language-1.4.0-py3-none-any.whl (55.0 kB view details)

Uploaded Python 3

File details

Details for the file entity_query_language-1.4.0.tar.gz.

File metadata

  • Download URL: entity_query_language-1.4.0.tar.gz
  • Upload date:
  • Size: 84.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for entity_query_language-1.4.0.tar.gz
Algorithm Hash digest
SHA256 b0356c34686ecb5c4aa700b47e387f7db087f1f676b114a60194dcd783b8c6d9
MD5 45cc0d10ee12be9c0c2f36f9a39db429
BLAKE2b-256 40f780ed42b706798d63ea7a8d8991a649fc660220d7c1008cd11d18fabdc6b5

See more details on using hashes here.

Provenance

The following attestation bundles were made for entity_query_language-1.4.0.tar.gz:

Publisher: publish-to-test-pypi.yml on AbdelrhmanBassiouny/entity_query_language

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

File details

Details for the file entity_query_language-1.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for entity_query_language-1.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 67ae0b304c7c5235398998bef63df23c8880e671dc48fb6f523d1ecc1677132a
MD5 2cca66c4d41c5da0d74a12fdea871507
BLAKE2b-256 71541b12af1f6625d9b03da6edd5fae98821616d62f96ec6332373b64eae372d

See more details on using hashes here.

Provenance

The following attestation bundles were made for entity_query_language-1.4.0-py3-none-any.whl:

Publisher: publish-to-test-pypi.yml on AbdelrhmanBassiouny/entity_query_language

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