content: [build-system]
  requires = ['hatchling>=1.11.0']
  build-backend = 'hatchling.build'
  
  [project.urls]
  Documentation = 'https://morph-kgc.readthedocs.io'
  Source = 'https://github.com/morph-kgc/morph-kgc'
  Tracker = 'https://github.com/morph-kgc/morph-kgc/issues'
  CI = 'https://github.com/morph-kgc/morph-kgc/actions'
  Homepage = 'https://morph-kgc.readthedocs.io'
  History = 'https://github.com/morph-kgc/morph-kgc/releases'
  #Sponsor = ''
  
  [project]
  name = 'morph_kgc'
  description = 'Powerful [R2]RML engine to create RDF knowledge graphs from heterogeneous data sources.'
  readme = 'README.md'
  keywords = ['Morph-KGC', 'RDF', 'R2RML', 'RML', 'RML-star', 'Knowledge Graph', 'Data Integration']
  authors = [
    {name = 'Julián Arenas-Guerrero', email = 'julian.arenas.guerrero@upm.es'}
  ]
  license = 'Apache-2.0'
  classifiers = [
    'Programming Language :: Python :: 3',
    'Programming Language :: Python :: 3.10',
    'Programming Language :: Python :: 3.11',
    'Programming Language :: Python :: 3.12',
    'Programming Language :: Python :: 3.13',
    'License :: OSI Approved :: Apache Software License',
    'Operating System :: OS Independent',
    'Development Status :: 5 - Production/Stable',
    'Environment :: Console',
    'Intended Audience :: Information Technology',
    'Intended Audience :: Science/Research',
    'Topic :: Software Development :: Pre-processors',
    'Topic :: Database',
    'Topic :: Utilities',
    'Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator',
  ]
  requires-python = '>=3.9'
  dynamic = ['version']
  dependencies = [
    'pandas>=2.1.0, <3.0.0',
    'rdflib>=6.1.1, <8.0.0',
    'pyoxigraph>=0.3.0, <0.4.0',
    'ruamel.yaml>=0.18.0, <0.19.0',
    'jsonpath-python>=1.0.6, <2.0.0',
    'elementpath>=4.0.0, <5.0.0',
    'duckdb>=1.0.0, <2.0.0',
    'falcon>=3.0.0, <5.0.0'
  ]
  
  [tool.hatch.version]
  path = 'src/morph_kgc/_version.py'
  
  [project.optional-dependencies]
  test = ['pytest>=8.0.0, <9.0.0', 'SQLAlchemy>=2.0.0, <3.0.0', 'sql-metadata>=2.6.0, <3.0.0', 'openpyxl>=3.0.0, <4.0.0', 'odfpy>=1.4.1, <2.0.0', 'pyarrow>=14.0.0, <20.0.0']
  kafka = ['kafka-python>=2.0.2, <3.0.0']
  sqlite = ['SQLAlchemy>=2.0.0, <3.0.0', 'sql-metadata>=2.6.0, <3.0.0']
  mysql = ['pymysql>=1.1.0, <2.0.0', 'cryptography>=42.0.0, <43.0.0', 'SQLAlchemy>=2.0.0, <3.0.0', 'sql-metadata>=2.6.0, <3.0.0']
  postgresql = ['psycopg[binary]>=3.0.0, <4.0.0', 'SQLAlchemy>=2.0.0, <3.0.0', 'sql-metadata>=2.6.0, <3.0.0']
  oracle = ['oracledb>=2.5.0, <9.0.0', 'SQLAlchemy>=2.0.0, <3.0.0', 'sql-metadata>=2.6.0, <3.0.0']
  mssql = ['pymssql>=2.2.7, <3.0.0', 'SQLAlchemy>=2.0.0, <3.0.0', 'sql-metadata>=2.6.0, <3.0.0']
  excel = ['openpyxl>=3.0.0, <4.0.0', 'odfpy>=1.4.1, <2.0.0']
  tabular = ['pyarrow>=14.0.0, <16.0.0']
  spss = ['pyreadstat>=1.2.0, <2.0.0']
  kuzu = ['kuzu>=0.4.2, <2.0.0']
  neo4j = ['neo4j>=5.20.0, <6.0.0']
  snowflake =['snowflake-sqlalchemy>=1.7.3, <2.0.0']
  databricks =['databricks-sqlalchemy>=2.0.4, <3.0.0']
  all = [
    'morph_kgc[kafka]',
    'morph_kgc[mysql]',
    'morph_kgc[postgresql]',
    'morph_kgc[oracle]',
    'morph_kgc[mssql]',
    'morph_kgc[excel]',
    'morph_kgc[tabular]',
    'morph_kgc[spss]',
    'morph_kgc[kuzu]',
    'morph_kgc[neo4j]',
    'morph_kgc[snowflake]',
    'morph_kgc[databricks]',
  ]
  