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semantica/pyproject.toml
T
KaifAhmad1 5cc0c7eac4 feat(embeddings): switch default to FastEmbed and update docs
Set FastEmbed as default embedding provider in TextEmbedder. Updated dependencies in pyproject.toml. Refreshed Context Module notebook and documentation to reflect changes. Added verification tests.
2025-12-18 13:40:39 +05:30

291 lines
7.0 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",
"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",
"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>=1.10.0",
"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"
]
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"
]