lint 적용

README.md

@@ -64,7 +64,7 @@ sudo usermod -aG docker $USER
 ```
 * WSL상에 설치는 VSCode로 WSL에 리모트 연결한 상태에서 Extension 설치로도 가능하다
 
-### GPU 이용하기
+### Nvidia GPU 이용하기
 ```
 $ curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
   && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \

pyproject.toml

@@ -0,0 +1,46 @@
+exclude = [
+    ".bzr",
+    ".direnv",
+    ".eggs",
+    ".git",
+    ".git-rewrite",
+    ".hg",
+    ".mypy_cache",
+    ".nox",
+    ".pants.d",
+    ".pytype",
+    ".ruff_cache",
+    ".svn",
+    ".tox",
+    ".venv",
+    "__pypackages__",
+    "_build",
+    "buck-out",
+    "build",
+    "dist",
+    "node_modules",
+    "venv",
+]
+
+line-length = 120
+indent-width = 4
+
+[lint]
+# 기본적으로 Pyflakes('F')와 pycodestyle('E') 코드의 하위 집합을 활성화합니다.
+select = ["E4", "E7", "E9", "F"]
+ignore = []
+
+# 활성화된 모든 규칙에 대한 수정 허용.
+fixable = ["ALL"]
+unfixable = []
+
+# 밑줄 접두사가 붙은 경우 사용하지 않는 변수를 허용합니다.
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
+
+[format]
+quote-style = "double"
+indent-style = "space"
+skip-magic-trailing-comma = false
+line-ending = "auto"
+docstring-code-format = false
+docstring-code-line-length = "dynamic"

workspace/api.py

@@ -1,18 +1,19 @@
-import uvicorn
+import time
-import torch
+
-import math, time
-from fastapi import FastAPI, status, Path, Query, File, UploadFile, Form, Request
-from pydantic import BaseModel
-from fastapi.responses import HTMLResponse
 from app import *
+from fastapi import FastAPI, status
+from pydantic import BaseModel
 
 app = FastAPI()
 
+
 class HealthCheck(BaseModel):
     """Response model to validate and return when performing a health check."""
+
     global request_id
     status: str = "OK"
-    timestamp: int = math.floor(time.time())
+    timestamp: int = int(time.time())
+
 
 @app.get(
     "/health",
@@ -33,7 +34,7 @@ async def get_health() -> HealthCheck:
         HealthCheck: Returns a JSON response with the health status
     """
     global request_id
-    return HealthCheck(status="OK", timestamp=math.floor(time.time()))
+    return HealthCheck(status="OK", timestamp=int(time.time()))
 
 
 @app.get("/")

workspace/app.py

@@ -1,2 +0,0 @@
-import numpy as np
-import torch

workspace/option.py

@@ -2,6 +2,7 @@ import torch
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
+
 class dict_options:
     opt = {}
     opt["device"] = device