Files
semantica/pyproject.toml

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7.1 KiB
TOML

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "semantica"
version = "0.0.5"
description = "🧠 Semantica - An Open Source Framework for building Semantic Layers and Knowledge Engineering "
readme = "README.md"
license = {text = "MIT"}
authors = [
{name = "Hawksight AI", email = "semantica-dev@users.noreply.github.com"}
]
maintainers = [
{name = "Hawksight AI", email = "semantica-dev@users.noreply.github.com"}
]
requires-python = ">=3.8"
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Text Processing :: Linguistic",
"Topic :: Database :: Database Engines/Servers",
"Topic :: Internet :: WWW/HTTP :: Indexing/Search"
]
keywords = [
"semantic-layer", "knowledge-engineering", "nlp", "knowledge-graph",
"embeddings", "entity-extraction", "relationship-extraction", "rdf",
"ontology", "semantic-analysis", "ai", "machine-learning"
]
dependencies = [
"numpy>=1.21.0",
"pandas>=1.3.0",
"scikit-learn>=1.0.0",
"umap-learn>=0.5.0",
"spacy>=3.4.0",
"transformers>=4.20.0",
"torch>=1.12.0",
"sentence-transformers>=2.2.0",
"rdflib>=6.2.0",
"networkx>=2.8.0",
"matplotlib>=3.5.0",
"seaborn>=0.11.0",
"plotly>=5.10.0",
"ipywidgets>=8.0.0",
"requests>=2.28.0",
"beautifulsoup4>=4.11.0",
"lxml>=4.9.0",
"pypdf2>=2.10.0",
"python-docx>=0.8.11",
"openpyxl>=3.0.10",
"pillow>=9.2.0",
"librosa>=0.9.0",
"opencv-python>=4.6.0",
"faiss-cpu>=1.7.0",
"fastembed>=0.2.0",
"onnxruntime>=1.17.0",
"tokenizers>=0.15.0",
"weaviate-client>=3.15.0",
"qdrant-client>=1.3.0",
"neo4j>=5.0.0",
"falkordb>=1.0.0",
"pymongo>=4.2.0",
"sqlalchemy>=1.4.0",
"psycopg2-binary>=2.9.0",
"pymysql>=1.0.0",
"redis>=4.3.0",
"celery>=5.2.0",
"kafka-python>=2.0.0",
"pulsar-client>=3.0.0",
"pika>=1.3.0",
"boto3>=1.24.0",
"azure-storage-blob>=12.12.0",
"google-cloud-storage>=2.5.0",
"pydantic>=2.0.0",
"fastmcp>=0.1.0",
"click>=8.1.0",
"rich>=12.5.0",
"tqdm>=4.64.0",
"pyyaml>=6.0",
"toml>=0.10.0",
"python-dotenv>=0.20.0",
"loguru>=0.6.0",
"structlog>=22.1.0",
"prometheus-client>=0.14.0",
"opentelemetry-api>=1.12.0",
"opentelemetry-sdk>=1.12.0",
"opentelemetry-instrumentation",
"fastapi>=0.78.0",
"uvicorn>=0.18.0",
"pytest>=7.1.0",
"pytest-cov>=3.0.0",
"pytest-asyncio>=0.19.0",
"black>=22.6.0",
"isort>=5.10.0",
"flake8>=4.0.0",
"mypy>=0.971",
"pre-commit>=2.19.0"
]
[project.urls]
Homepage = "https://github.com/Hawksight-AI/semantica"
Repository = "https://github.com/Hawksight-AI/semantica"
"Bug Tracker" = "https://github.com/Hawksight-AI/semantica/issues"
Discussions = "https://github.com/Hawksight-AI/semantica/discussions"
[project.optional-dependencies]
dev = [
"pytest>=7.1.0",
"pytest-cov>=3.0.0",
"pytest-asyncio>=0.19.0",
"black>=22.6.0",
"isort>=5.10.0",
"flake8>=4.0.0",
"mypy>=0.971",
"pre-commit>=2.19.0",
"jupyter>=1.0.0",
"ipykernel>=6.15.0",
"notebook>=6.4.0"
]
viz = [
"pyvis>=0.3.0",
"graphviz>=0.20.0",
"umap-learn>=0.5.0",
"d3blocks>=1.0.0"
]
gpu = [
"torch>=1.12.0",
"faiss-gpu>=1.7.0",
"cupy>=10.0.0"
]
cloud = [
"boto3>=1.24.0",
"azure-storage-blob>=12.12.0",
"google-cloud-storage>=2.5.0",
"kubernetes>=24.0.0",
"helm>=3.10.0"
]
monitoring = [
"prometheus-client>=0.14.0",
"opentelemetry-api>=1.12.0",
"opentelemetry-sdk>=1.12.0",
"opentelemetry-instrumentation>=0.32.0",
"grafana-api>=1.0.0",
"elasticsearch>=8.5.0"
]
llm-openai = [
"openai>=1.0.0"
]
llm-gemini = [
"google-generativeai>=0.3.0"
]
llm-groq = [
"groq>=0.4.0"
]
llm-anthropic = [
"anthropic>=0.18.0"
]
llm-ollama = [
"ollama>=0.1.0"
]
llm-all = [
"semantica[llm-openai,llm-gemini,llm-groq,llm-anthropic,llm-ollama]"
]
models-huggingface = [
"transformers>=4.20.0",
"torch>=1.12.0"
]
split-tiktoken = [
"tiktoken>=0.5.0"
]
split-community = [
"python-louvain>=0.16"
]
split-topic = [
"bertopic>=0.15.0",
"gensim>=4.3.0"
]
split-all = [
"semantica[split-tiktoken,split-community,split-topic]"
]
graph-neo4j = [
"neo4j>=5.0.0"
]
graph-falkordb = [
"falkordb>=1.0.0",
"redis>=4.3.0"
]
graph-all = [
"semantica[graph-neo4j,graph-falkordb]"
]
all = [
"semantica[dev,viz,gpu,cloud,monitoring,llm-all,models-huggingface,split-all,graph-all]"
]
[project.scripts]
semantica = "semantica.cli:main"
semantica-server = "semantica.server:main"
semantica-worker = "semantica.worker:main"
[tool.setuptools.packages.find]
where = ["."]
include = ["semantica*"]
exclude = ["tests*", "docs*", "examples*"]
[tool.setuptools.package-data]
semantica = ["*.yaml", "*.yml", "*.json", "*.toml", "*.txt", "*.md"]
[tool.black]
line-length = 88
target-version = ['py38', 'py39', 'py310', 'py311', 'py312']
include = '\.pyi?$'
extend-exclude = '''
/(
# directories
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| build
| dist
)/
'''
[tool.isort]
profile = "black"
multi_line_output = 3
line_length = 88
known_first_party = ["semantica"]
known_third_party = ["numpy", "pandas", "scikit-learn", "spacy", "transformers", "torch"]
[tool.mypy]
python_version = "3.9"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
check_untyped_defs = true
disallow_untyped_decorators = true
no_implicit_optional = true
warn_redundant_casts = true
warn_unused_ignores = true
warn_no_return = true
warn_unreachable = true
strict_equality = true
show_error_codes = true
[tool.pytest.ini_options]
minversion = "7.0"
addopts = "-ra -q --strict-markers --strict-config"
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
markers = [
"slow: marks tests as slow (deselect with '-m \"not slow\"')",
"integration: marks tests as integration tests",
"unit: marks tests as unit tests",
"gpu: marks tests that require GPU",
"cloud: marks tests that require cloud services"
]
[tool.coverage.run]
source = ["semantica"]
omit = [
"*/tests/*",
"*/test_*",
"*/__pycache__/*",
"*/migrations/*"
]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"def __repr__",
"if self.debug:",
"if settings.DEBUG",
"raise AssertionError",
"raise NotImplementedError",
"if 0:",
"if __name__ == .__main__.:",
"class .*\\bProtocol\\):",
"@(abc\\.)?abstractmethod"
]