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-1.5.0.tar.gz (86.1 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-1.5.0-py3-none-any.whl (56.5 kB view details)

Uploaded Python 3

File details

Details for the file entity_query_language-1.5.0.tar.gz.

File metadata

  • Download URL: entity_query_language-1.5.0.tar.gz
  • Upload date:
  • Size: 86.1 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-1.5.0.tar.gz
Algorithm Hash digest
SHA256 ddc75668ca83574ea6970e8f700396975c59dabf909cb8d5ed55627645c7b0b4
MD5 f93dd0373bb9346e4666857b28bd83d1
BLAKE2b-256 a6ba90d2d6d60892b4fa608d8001963de3343dab567ea18541633d9eeea07d05

See more details on using hashes here.

Provenance

The following attestation bundles were made for entity_query_language-1.5.0.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-1.5.0-py3-none-any.whl.

File metadata

File hashes

Hashes for entity_query_language-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e24e04b6856674b22bd5f96a12ebae6d0df054dd270623e37252579ce2d2400c
MD5 98c96854acdb5c12d5bd1a7fef7b31b0
BLAKE2b-256 83c6d234ae0864442e01bde18a25da02060cc084390969538476dc5ade4b8bdc

See more details on using hashes here.

Provenance

The following attestation bundles were made for entity_query_language-1.5.0-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