semantica/pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "semantica"
version = "0.5.0"
description = "Accountability and context layer for AI agents. Context graphs, decision intelligence, full provenance tracking, and explainable reasoning engines — every AI decision traceable, every output auditable."
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 :: 5 - Production/Stable",
  "Intended Audience :: Developers",
  "Intended Audience :: Science/Research",
  "Intended Audience :: Information Technology",
  "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 :: Scientific/Engineering :: Information Analysis",
  "Topic :: Text Processing :: Linguistic",
  "Topic :: Database :: Database Engines/Servers",
  "Topic :: Software Development :: Libraries :: Python Modules"
]

keywords = [
  "knowledge-graph", "context-graph", "ai-agents", "llm", "decision-intelligence",
  "provenance", "explainability", "reasoning-engine", "entity-extraction",
  "relation-extraction", "graph-rag", "knowledge-intelligence", "semantic-layer",
  "nlp", "embeddings", "ontology", "rdf", "triplet-extraction", "agentic-ai",
  "knowledge-base", "entity-resolution", "w3c-prov", "audit-trail"
]

# ---------------- CORE DEPENDENCIES (SAFE DEFAULT) ----------------
dependencies = [
  "numpy>=2.0.2",
  "pandas>=1.3.0",
  "scipy>=1.13.1",
  "scikit-learn>=1.0.0",
  "umap-learn>=0.5.12",
  "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>=3.9.4",
  "seaborn>=0.11.0",
  "plotly>=5.10.0",
  "ipywidgets>=8.0.0",
  "requests>=2.32.5",
  "GitPython>=3.1.50",
  "chardet>=5.1.0",
  "protobuf>=5.29.1,<7.0",
  "grpcio>=1.71.2",
  "beautifulsoup4>=4.15.0",
  "lxml>=4.9.0",
  "pypdf2>=2.10.0",
  "python-docx>=1.2.0",
  "openpyxl>=3.1.5",
  "pillow>=11.3.0",
  "librosa>=0.9.0",
  "opencv-python>=4.13.0.92",
  "faiss-cpu>=1.7.0",
  "fastembed>=0.2.0",
  "onnxruntime>=1.20.1",
  "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>=1.2.1",
  "loguru>=0.7.3",
  "structlog>=22.1.0",
  "gensim>=4.4.0"
]

[project.urls]
Homepage      = "https://getsemantica.ai"
Documentation = "https://docs.getsemantica.ai"
Repository    = "https://github.com/semantica-agi/semantica"
Changelog     = "https://github.com/semantica-agi/semantica/blob/main/CHANGELOG.md"
"Bug Tracker" = "https://github.com/semantica-agi/semantica/issues"
Discord       = "https://discord.gg/sV34vps5hH"

# ---------------- 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 = ["openai>=1.0.0"]
llm-litellm = ["litellm>=1.83.9"]
llm-instructor = ["instructor>=1.15.3"]

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>=4.5.0", "cryptography>=49.0.0"]
db-arrow = ["pyarrow>=21.0.0"]
ingest-parquet = ["pyarrow>=21.0.0"]

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>=3.0.0",
  "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>=0.62b1,<0.62"
]

# ---- Visualization ----
viz = [
  "pyvis>=0.3.0",
  "graphviz>=0.21",
  "d3blocks>=1.0.0"
]

# ---- GPU ----
gpu = [
  "faiss-gpu>=1.7.0",
  "cupy>=10.0.0"
]

# ---- Agentic Framework Integrations ----
agno = ["agno>=1.0.0"]

# ---- File Watching ----
watch = ["watchdog>=3.0.0"]

# ---- Splitting / Chunking ----
split-tiktoken = ["tiktoken>=0.5.0"]
split-community = ["python-louvain>=0.16"]
split-topic = ["bertopic>=0.15.0", "gensim>=4.4.0"]

split-all = [
  "semantica[split-tiktoken,split-community,split-topic]"
]

# ---- Dev ----
dev = [
  "pytest>=7.1.0",
  "pytest-cov>=7.1.0",
  "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"
]

# Explorer Dashboard
explorer = [
  "fastapi>=0.100.0",
  "uvicorn[standard]>=0.22.0",
  "websockets>=11.0",
  "python-multipart>=0.0.6"
]
explorer-lite = [
  "streamlit>=1.25.0",
  "streamlit-agraph>=0.0.45"
]

# Everything (cross-platform — gpu excluded; install semantica[gpu] separately on Linux)
all = [
  "semantica[dev,viz,infra,cloud,monitoring,watch,llm-all,models-huggingface,split-all,graph-all,vectorstore-all,parse-docling,ingest-parquet,explorer]",
  "semantica[dev,viz,infra,cloud,monitoring,watch,llm-all,models-huggingface,split-all,graph-all,vectorstore-all,parse-docling,ingest-parquet,agno]"
]

# ---------------- ENTRYPOINTS ----------------
[project.scripts]
semantica = "semantica.cli:main"
semantica-server = "semantica.server:main"
semantica-worker = "semantica.worker:main"
semantica-explorer = "semantica.explorer:main"
semantica-mcp = "semantica.mcp_server:main"

# ---------------- TOOLING ----------------
[tool.setuptools.packages.find]
where = ["."]
include = ["semantica*", "integrations*"]

[tool.setuptools.package-data]
# Explicit patterns are more reliable than **/* across setuptools versions.
# static/* covers index.html / favicon; static/assets/* covers all JS/CSS chunks.
"semantica" = ["static/*", "static/assets/*"]

[tool.black]
line-length = 88

[tool.isort]
profile = "black"

[tool.pytest.ini_options]
testpaths = ["tests"]
markers = [
    "integration: marks tests that require external services or API keys (deselect with '-m not integration')",
]