synthetic-datagen/pyproject.toml at master · harveybc/synthetic-datagen · GitHub

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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "synthetic-datagen"
version = "1.0.0"
description = "Self-contained synthetic typical_price timeseries generator with plugin architecture"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [{name = "Harvey Bastidas", email = "harveybc@users.noreply.github.com"}]
keywords = ["synthetic-data", "timeseries", "gan", "vae", "financial"]

dependencies = [
    "numpy>=1.24",
    "pandas>=2.0",
    "tensorflow>=2.14",
    "scipy>=1.11",
    "scikit-learn>=1.3",
    "deap>=1.4",
]

[project.optional-dependencies]
dev = ["pytest>=7.0", "pytest-cov"]

[project.scripts]
sdg = "app.main:main"

[project.entry-points."sdg.trainer"]
vae_trainer = "sdg_plugins.trainer.vae_trainer:VaeTrainer"
gan_trainer = "sdg_plugins.trainer.gan_trainer:GanTrainer"
vae_gan_trainer = "sdg_plugins.trainer.vae_gan_trainer:VaeGanTrainer"

[project.entry-points."sdg.generator"]
typical_price_generator = "sdg_plugins.generator.typical_price_generator:TypicalPriceGenerator"

[project.entry-points."sdg.evaluator"]
distribution_evaluator = "sdg_plugins.evaluator.distribution_evaluator:DistributionEvaluator"
predictive_evaluator = "sdg_plugins.evaluator.predictive_evaluator:PredictiveEvaluator"
augmentation_evaluator = "sdg_plugins.evaluator.augmentation_evaluator:AugmentationEvaluator"

[project.entry-points."sdg.optimizer"]
ga_optimizer = "sdg_plugins.optimizer.ga_optimizer:GaOptimizer"

[tool.setuptools.packages.find]
include = ["app*", "sdg_plugins*"]