toonic/pyproject.toml at main · semcod/toonic · 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
[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "toonic"
dynamic = ["version"]
description = "Toonic — Universal TOON Format Platform for LLM-optimized file representations"
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [
    {name = "Tom Sapletta", email = "tom@sapletta.com"},
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Software Development :: Libraries",
]
dependencies = [
    "anyio>=4.13.0",
]

[project.optional-dependencies]
video = ["opencv-python>=4.8"]
audio = ["numpy>=1.24", "webrtcvad>=2.0"]
server = ["fastapi>=0.110", "uvicorn>=0.27", "pyyaml>=6.0", "httpx>=0.27", "websockets>=12.0"]
llm = ["litellm>=1.30"]
detection = ["ultralytics>=8.0", "opencv-python>=4.8"]
monitoring = ["httpx>=0.27", "pyyaml>=6.0"]
cctv = ["opencv-python>=4.8", "ultralytics>=8.0", "fastapi>=0.110", "uvicorn>=0.27", "pyyaml>=6.0", "httpx>=0.27", "websockets>=12.0", "litellm>=1.30"]
all = ["opencv-python>=4.8", "numpy>=1.24", "webrtcvad>=2.0", "ultralytics>=8.0", "fastapi>=0.110", "uvicorn>=0.27", "pyyaml>=6.0", "httpx>=0.27", "websockets>=12.0", "litellm>=1.30"]
dev = ["pytest>=7.0", "pytest-asyncio>=0.23", "pytest-cov>=4.0", "pyyaml>=6.0", "numpy>=1.24", "fastapi>=0.110", "uvicorn>=0.27", "httpx>=0.27", "websockets>=12.0",
    "goal>=2.1.0",
    "costs>=0.1.20",
    "pfix>=0.1.60",
]

[project.scripts]
toonic = "toonic.cli:cli_main"
toonic-server = "toonic.server.__main__:main"
toonic-client = "toonic.server.client:main"

[project.urls]
Homepage = "https://github.com/wronai/toonic"
Repository = "https://github.com/wronai/toonic"

[tool.setuptools.dynamic]
version = {file = "VERSION"}

[tool.setuptools.packages.find]
include = ["toonic*"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]
addopts = "-v --tb=short"

[tool.pfix]
# Self-healing Python configuration
model = "openrouter/qwen/qwen3-coder-next"
auto_apply = true
auto_install_deps = true
auto_restart = false
max_retries = 3
create_backups = false
git_auto_commit = false

[tool.pfix.runtime_todo]
enabled = true
todo_file = "TODO.md"
min_severity = "low"
deduplicate = true

[tool.costs]
# AI Cost tracking configuration
badge = true
update_readme = true
readme_path = "README.md"
default_model = "openrouter/qwen/qwen3-coder-next"
analysis_mode = "byok"
full_history = true
max_commits = 500

# Cost thresholds for badge colors (USD)
badge_color_thresholds = { low = 1.0, medium = 5.0, high = 10.0, critical = 50.0 }

[dependency-groups]
dev = [
    "fastapi>=0.136.3",
    "httpx>=0.28.1",
    "pyyaml>=6.0.3",
]