Files
semantica/pyproject.toml
T
KaifAhmad1andClaude Sonnet 4.6 476267f764 fix: resolve merge conflict in monitoring extras causing TOML parse error
Duplicate opentelemetry entries with missing comma at line 161 broke
pip install and build. Consolidated to single correct bumped bounds.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-09 15:09:39 +05:30

223 lines
5.4 KiB
TOML

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "semantica"
version = "0.3.0-beta"
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 :: 4 - Beta",
"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"
]
keywords = [
"semantic-layer", "knowledge-graph", "nlp", "embeddings",
"entity-extraction", "relationship-extraction", "rdf", "ontology"
]
# ---------------- CORE DEPENDENCIES (SAFE DEFAULT) ----------------
dependencies = [
"numpy>=1.21.0",
"pandas>=1.3.0",
"scipy>=1.9.0",
"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",
"GitPython>=3.1.30",
"chardet>=5.1.0",
"protobuf>=5.29.1,<7.0",
"grpcio>=1.71.2",
"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",
"pydantic>=2.0.0",
"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",
"gensim>=4.3.0"
]
# ---------------- OPTIONAL DEPENDENCIES ----------------
[project.optional-dependencies]
# ---- LLM Providers ----
llm-openai = ["openai>=1.0.0"]
llm-groq = ["groq>=0.4.0"]
llm-gemini = ["google-genai>=0.1.0"]
llm-anthropic = ["anthropic>=0.18.0"]
llm-ollama = ["ollama>=0.1.0"]
llm-deepseek = ["deepseek>=0.1.0"]
llm-litellm = ["litellm>=1.0.0"]
llm-instructor = ["instructor>=1.0.0"]
llm-all = [
"semantica[llm-openai,llm-groq,llm-gemini,llm-anthropic,llm-ollama,llm-deepseek,llm-litellm,llm-instructor]"
]
# ---- Document Parsing ----
parse-docling = ["docling>=1.0.0"]
# ---- Database Connectors ----
db-snowflake = ["snowflake-connector-python>=3.0.0", "cryptography>=3.4.0"]
db-arrow = ["pyarrow>=10.0.0"]
db-all = [
"semantica[db-snowflake,db-arrow]"
]
# ---- Embedding / Models ----
models-huggingface = [
"transformers>=4.20.0",
"torch>=1.12.0"
]
# ---- Graph Backends ----
graph-neo4j = ["neo4j>=5.0.0"]
graph-falkordb = ["falkordb>=1.0.0", "redis>=4.3.0"]
graph-amazon-neptune = ["boto3>=1.24.0", "neo4j>=5.0.0"]
graph-all = [
"semantica[graph-neo4j,graph-falkordb,graph-amazon-neptune]"
]
# ---- Vector Store Backends ----
vectorstore-qdrant = ["qdrant-client>=1.0.0"]
vectorstore-weaviate = ["weaviate-client>=4.0.0"]
vectorstore-pinecone = ["pinecone-client>=3.0.0"]
vectorstore-milvus = ["pymilvus>=2.0.0"]
vectorstore-pgvector = ["psycopg[binary,pool]>=3.0.0", "pgvector>=0.2.0"]
vectorstore-all = [
"semantica[vectorstore-qdrant,vectorstore-weaviate,vectorstore-pinecone,vectorstore-milvus,vectorstore-pgvector]"
]
# ---- Infra / Queues / Workers ----
infra = [
"redis>=4.3.0",
"celery>=5.2.0",
"kafka-python>=2.0.0",
"pulsar-client>=3.0.0",
"pika>=1.3.0"
]
# ---- Cloud Providers ----
cloud = [
"boto3>=1.24.0",
"azure-storage-blob>=12.12.0",
"google-cloud-storage>=2.5.0"
]
# ---- Monitoring (FIXED) ----
monitoring = [
"prometheus-client>=0.14.0",
"opentelemetry-api>=1.30.0,<2.0.0",
"opentelemetry-sdk>=1.30.0,<2.0.0",
"opentelemetry-semantic-conventions>=0.58b0,<0.62",
"opentelemetry-instrumentation>=0.58b0,<0.62"
]
# ---- Visualization ----
viz = [
"pyvis>=0.3.0",
"graphviz>=0.20.0",
"d3blocks>=1.0.0"
]
# ---- GPU ----
gpu = [
"faiss-gpu>=1.7.0",
"cupy>=10.0.0"
]
# ---- Splitting / Chunking ----
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]"
]
# ---- Dev ----
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"
]
# ---- Everything ----
all = [
"semantica[dev,viz,gpu,infra,cloud,monitoring,llm-all,models-huggingface,split-all,graph-all,vectorstore-all,parse-docling]"
]
# ---------------- ENTRYPOINTS ----------------
[project.scripts]
semantica = "semantica.cli:main"
semantica-server = "semantica.server:main"
semantica-worker = "semantica.worker:main"
# ---------------- TOOLING ----------------
[tool.setuptools.packages.find]
where = ["."]
include = ["semantica*"]
[tool.black]
line-length = 88
[tool.isort]
profile = "black"
[tool.pytest.ini_options]
testpaths = ["tests"]