refactor: フォーマットの修正

Author: Hara

src/minifig_detector.py

@@ -60,7 +60,8 @@ def preprocess_image(self, img):
 
         # 灰色（114）でパディングして640x640に調整
         img_padded = cv2.copyMakeBorder(
-            img_resized, top, bottom, left, right, cv2.BORDER_CONSTANT, value=(114, 114, 114))
+            img_resized, top, bottom, left, right, cv2.BORDER_CONSTANT,
+            value=(114, 114, 114))
 
         # YOLO入力形式に変換: HWC→CHW, [0,1]正規化, バッチ次元追加
         img_input = img_padded.transpose(2, 0, 1).astype(
@@ -133,7 +134,8 @@ def postprocess(self, pred, scale, pad):
 
         # 信頼度閾値を満たす検出がない場合
         if not boxes:
-            return {"wasDetected": False, "direction": "NONE", "confidence": 0.0}
+            return {"wasDetected": False,
+                    "direction": "NONE", "confidence": 0.0}
 
         # Non-Maximum Suppression で重複検出を除去
         indices = cv2.dnn.NMSBoxes(
@@ -161,7 +163,8 @@ def detect(self, image_path: str) -> dict:
             image_path (str): 画像ファイルのパス
 
         Returns:
-            dict: 検出結果 {"wasDetected": bool, "direction": str, "confidence": float}
+            dict: 検出結果 {"wasDetected": bool, "direction": str,
+                         "confidence": float}
         """
         # 共通エラーレスポンス
         error_result = {"wasDetected": False,

src/server/fastapi_server.py

@@ -128,7 +128,6 @@ def upload_minifig_image(file: UploadFile = File(...)) -> JSONResponse:
     Returns:
         JSONResponse: 結果メッセージとステータスコード
     """
-
     # 画像のファイル名の取得
     file_name = file.filename
 
@@ -164,31 +163,37 @@ def upload_minifig_image(file: UploadFile = File(...)) -> JSONResponse:
         if detection_result["direction"] == "front":
             # frontは既存がfront以外なら即更新、frontなら高信頼度で更新
             if (best_minifig_result["best_direction"] != "front" or
-                    detection_result["confidence"] > best_minifig_result["best_confidence"]):
+                    detection_result["confidence"] >
+                    best_minifig_result["best_confidence"]):
                 # それぞれの値を更新
                 best_minifig_result["best_image_path"] = file_path
-                best_minifig_result["best_confidence"] = detection_result["confidence"]
-                best_minifig_result["best_direction"] = detection_result["direction"]
+                best_minifig_result["best_confidence"] = (
+                    detection_result["confidence"])
+                best_minifig_result["best_direction"] = (
+                    detection_result["direction"])
 
         # 既存の最良画像がfrontでなく、検出結果の信頼度が高い場合
         elif (best_minifig_result["best_direction"] != "front" and
-              detection_result["confidence"] > best_minifig_result["best_confidence"]):
+              detection_result["confidence"] >
+              best_minifig_result["best_confidence"]):
             # それぞれの値を更新
             best_minifig_result["best_image_path"] = file_path
-            best_minifig_result["best_confidence"] = detection_result["confidence"]
-            best_minifig_result["best_direction"] = detection_result["direction"]
+            best_minifig_result["best_confidence"] = (
+                detection_result["confidence"])
+            best_minifig_result["best_direction"] = (
+                detection_result["direction"])
 
     # 4枚未満の場合
     if best_minifig_result["image_count"] < 4:
         return JSONResponse(
             content={
-                "message": f"Image {best_minifig_result['image_count']} processed successfully",
+                "message": (f"Image {best_minifig_result['image_count']} "
+                            "processed successfully"),
                 "detection_result": detection_result,
                 "images_received": best_minifig_result["image_count"],
-                "remaining": 4 - best_minifig_result["image_count"]
-            },
-            status_code=status.HTTP_200_OK
-        )
+                "remaining": 4 -
+                best_minifig_result["image_count"]},
+            status_code=status.HTTP_200_OK)
 
     # アップロード対象画像を決定
     if best_minifig_result["best_image_path"]:

tests/mock_official_interface.py

@@ -1,6 +1,6 @@
 """テスト用の競技システムモック.
 
-@author: Claude
+@author: Hara1274
 """
 import os