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requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "bp-monitoring-pipeline"
version = "1.0.0"
description = "Blood Pressure Monitoring Pipeline — PPG signal ingestion, processing, and AI-based ABP prediction"
authors = [{ name = "Data Engineering Team" }]
requires-python = ">=3.11"
readme = "README.md"
license = { text = "MIT" }
dependencies = [
# ── Web Framework ─────────────────────────────────────────────────────────
"fastapi>=0.110.0",
"uvicorn[standard]>=0.29.0",
# ── Database — Supabase / PostgreSQL / SQLite ─────────────────────────────
"sqlalchemy>=2.0.0",
"asyncpg>=0.29.0", # Async PostgreSQL driver (Supabase production)
"alembic>=1.13.0", # Schema migrations (production deploys)
"aiosqlite>=0.20.0", # SQLite async driver (local dev fallback)
# ── Message Broker ────────────────────────────────────────────────────────
"aio-pika>=9.4.0", # Async RabbitMQ / CloudAMQP (AMQP + AMQPS)
# ── Validation & Settings ─────────────────────────────────────────────────
"pydantic>=2.0.0",
"pydantic-settings>=2.0.0",
"python-dotenv>=1.0.0",
# ── Signal Processing ─────────────────────────────────────────────────────
"scipy>=1.12.0", # Butterworth filter, interpolation, segmentation
"numpy>=1.26.0", # Numerical arrays throughout the pipeline
# ── Image Processing (VG adjacency matrix → PIL → torchvision tensor) ────
"Pillow>=10.0.0", # PIL.Image used in numba_vgtlnet_preprocessor.py
# ── HTTP Client (scripts/mock_iot_sender.py) ──────────────────────────────
"httpx>=0.27.0",
]
[project.optional-dependencies]
# ── GPU / AI Model dependencies ───────────────────────────────────────────────
# Install with: pip install -e ".[gpu]"
# Required for GANVGTLNetService (production inference).
# NOT needed for the FastAPI / ETL #1 container — only the Colab consumer.
gpu = [
"torch>=2.0.0",
"torchvision>=0.15.0", # torchvision.transforms used in vgtlnet preprocessor
"timm>=0.9.0", # timm.create_model("convnextv2_tiny...") in vgtlnet.py
"numba>=0.59.0", # @njit JIT compiler for visibility graph (optional speedup)
]
# ── Development & Testing dependencies ───────────────────────────────────────
# Install with: pip install -e ".[dev]"
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"pytest-cov>=5.0.0",
"httpx>=0.27.0", # Async HTTP client for API integration tests
"anyio>=4.0.0", # Async test backend
"ruff>=0.4.0", # Linter + formatter
"mypy>=1.10.0", # Static type checker
]
# ── All extras combined (convenience) ────────────────────────────────────────
# Install with: pip install -e ".[all]"
all = [
"torch>=2.0.0",
"torchvision>=0.15.0",
"timm>=0.9.0",
"numba>=0.59.0",
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"pytest-cov>=5.0.0",
"httpx>=0.27.0",
"anyio>=4.0.0",
"ruff>=0.4.0",
"mypy>=1.10.0",
]
[tool.setuptools.packages.find]
where = ["."]
include = ["src*", "scripts*"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
[tool.ruff]
line-length = 100
target-version = "py311"
select = ["E", "F", "I", "UP", "B"]
[tool.mypy]
python_version = "3.11"
strict = true
ignore_missing_imports = true
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