sparqlib 0.5.0

This package provides parsers and serializers for the SPARQL 1.1 Query and Update Language.

SPARQLib

This package provides parsers and serializers for the SPARQL 1.1 Query Language.

Note: This is not a SPARQL processing engine.

Install

pip install sparqlib

For CLI support:

pip install sparqlib[cli]

CLI

SPARQLib provides a command-line interface for formatting SPARQL files.

sparqlib --help
sparqlib -h

Commands

format

Format SPARQL files in-place:

sparqlib format path/to/query.rq
sparqlib format path/to/directory/

Check if files are formatted without making changes:

sparqlib format --check path/to/query.rq

Usage

import sparqlib

query = r'''
PREFIX : <http://www.example.org/>
SELECT * WHERE { ?s ?p ?o }
'''

# Use the convenience function
formatted = sparqlib.format_string(query)
print(formatted)

Statement type detection

Determine the type and sub-type of a SPARQL statement:

import sparqlib

# From a statement string
result = sparqlib.statement_type_from_string("SELECT * WHERE { ?s ?p ?o }")
print(result.type)     # SparqlType.QUERY
print(result.subtype)  # QuerySubType.SELECT

# From a parsed tree
tree = sparqlib.parse("INSERT DATA { <s> <p> <o> }")
result = sparqlib.statement_type(tree)
print(result.type)     # SparqlType.UPDATE
print(result.subtype)  # UpdateSubType.INSERT_DATA

Supported query sub-types: SELECT, CONSTRUCT, DESCRIBE, ASK

Supported update sub-types: INSERT_WHERE, INSERT_DATA, DELETE_WHERE, DELETE_DATA, MODIFY, DROP, CLEAR, LOAD, CREATE, ADD, MOVE, COPY

Note: MODIFY includes both INSERT and DELETE operations. E.g., DELETE {…} INSERT {…} WHERE {…}

Preserving comments

Comments are preserved end-to-end through format_string and parse/serialize by default. To disable comment preservation, use preserve_comments=False:

import sparqlib

query = "SELECT * WHERE { # comment\n  ?s ?p ?o }\n"
formatted = sparqlib.format_string(query)
print(formatted)

tree = sparqlib.parse(query)
print(sparqlib.serialize(tree))

no_comments = sparqlib.format_string(query, preserve_comments=False)
print(no_comments)

Notes:

• Comments are preserved using stable anchoring (nearby-token association), not exact original spacing.
• Comments are emitted as standalone lines by default for safety, but common inline forms are preserved:
  • SELECT ?x # comment (inline after a token)
  • WHERE { # comment (inline after {)
  • FILTER(... ) # comment (inline after ))

For advanced usage with the AST:

from sparqlib.parser import sparql_query_parser
from sparqlib.serializer import SparqlSerializer

tree = sparql_query_parser.parse(query)
serializer = SparqlSerializer()
result = serializer.visit_topdown(tree)
print(result)

Features

Iterative Stack-Based Serializer

The SPARQL serializer uses an iterative stack-based approach, allowing serialization of queries with arbitrary complexity and nesting depth (e.g., 1500+ nested OPTIONALs) without triggering Python's RecursionError.

Deep Nesting Example

from sparqlib.parser import sparql_query_parser
from sparqlib.serializer import SparqlSerializer

# Create a deeply nested query string
depth = 2000
query = "SELECT * WHERE { " + ("OPTIONAL { " * depth) + "?s ?p ?o" + (" }" * depth) + " }"

# Parse and serialize (no RecursionError)
tree = sparql_query_parser.parse(query)
serializer = SparqlSerializer()
result = serializer.visit_topdown(tree)
print(f"Successfully serialized query with nesting depth {depth}")

Extensibility

The serializer can be extended through subclassing to customize output:

from sparqlib.serializer import SparqlSerializer
from lark import Tree

class CustomSerializer(SparqlSerializer):
    def _build_handler_map(self):
        handlers = super()._build_handler_map()
        handlers["var"] = {"enter": CustomSerializer._custom_var_enter, "exit": None}
        return handlers

    def _custom_var_enter(self, tree: Tree, context: dict) -> bool:
        self._parts.append(tree.children[0].value.upper())
        self._parts.append(" ")
        return True

Conformance

The parser and serializer passes all 1,070+ tests including those from the https://github.com/w3c/rdf-tests repository.