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. This serves as a front end to other query languages like sql or prolog.

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 and equal check to another value is just how you expect:

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(type_=Body, domain=world.bodies), body.name == "Body2"))
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 = {0.0.1},
}

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-0.1.1.tar.gz (57.3 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-0.1.1-py3-none-any.whl (38.3 kB view details)

Uploaded Python 3

File details

Details for the file entity_query_language-0.1.1.tar.gz.

File metadata

  • Download URL: entity_query_language-0.1.1.tar.gz
  • Upload date:
  • Size: 57.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for entity_query_language-0.1.1.tar.gz
Algorithm Hash digest
SHA256 5e416d4ee80cc5fe3a795674fcad62f77a2f3d8c12fdd3841b221337ab93952f
MD5 0387abb7c3a86801c1463a0f1accb648
BLAKE2b-256 f8560b666d80699826607a4e4e3f409b12211db4e7fc98f3f2ada0a5785c7170

See more details on using hashes here.

Provenance

The following attestation bundles were made for entity_query_language-0.1.1.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-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for entity_query_language-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 56f91f19659b48df4dba211375c61ab49353a24d325270c66fc17a1cacec4e1d
MD5 2193595a15c48ea4bf9c9e731fff7b38
BLAKE2b-256 a42443afe4ebf6c47622a0105ef3a072ef2e6677824d1c44187083206dab0817

See more details on using hashes here.

Provenance

The following attestation bundles were made for entity_query_language-0.1.1-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