LMP-Probabilistic-Forecaster/pyproject.toml at master · sundar139/LMP-Probabilistic-Forecaster · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
[build-system]
requires = ["hatchling>=1.25"]
build-backend = "hatchling.build"

[project]
name = "lmp-forecaster"
version = "0.1.0"
description = "Local-first probabilistic forecasting platform for PJM day-ahead zonal LMP"
readme = "README.md"
requires-python = ">=3.12,<3.13"
authors = [{ name = "Rohit" }]
license = { text = "Proprietary" }
dependencies = [
  "torch",
  "neuralforecast",
  "lightning",
  "pandas",
  "polars",
  "pyarrow",
  "numpy",
  "scikit-learn",
  "optuna",
  "mlflow",
  "dvc",
  "httpx",
  "pydantic",
  "pydantic-settings",
  "typer",
  "rich",
  "python-dotenv",
  "holidays",
  "matplotlib",
  "plotly",
  "fastapi",
  "uvicorn[standard]",
  "streamlit",
  "orjson",
  "pytest",
  "pytest-cov",
  "ruff",
  "mypy",
  "PyYAML",
]

[project.scripts]
lmp-forecaster = "lmp_forecaster.cli:app"

[tool.hatch.build.targets.wheel]
packages = ["src/lmp_forecaster"]

[tool.hatch.build.targets.sdist]
include = [
  "src/lmp_forecaster",
  "conf",
  "scripts",
  "tests",
  "README.md",
  "pyproject.toml",
]

[tool.uv.sources]
torch = { index = "pytorch-cu128" }

[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true

[tool.uv]
package = true

[tool.ruff]
line-length = 100
target-version = "py312"

[tool.ruff.lint]
select = ["E", "F", "I", "B", "UP", "N", "C4"]
ignore = []

[tool.mypy]
python_version = "3.12"
strict = true
warn_unused_configs = true
warn_redundant_casts = true
warn_unused_ignores = true
exclude = [
  "^data/",
]

[[tool.mypy.overrides]]
module = ["yaml"]
ignore_missing_imports = true

[[tool.mypy.overrides]]
module = ["pandas"]
ignore_missing_imports = true

[[tool.mypy.overrides]]
module = ["neuralforecast", "neuralforecast.*"]
ignore_missing_imports = true

[tool.pytest.ini_options]
minversion = "8.0"
addopts = "-q"
testpaths = ["tests"]
pythonpath = ["src"]