修复前端无法编译的问题

backend/test.py

@@ -1,27 +0,0 @@
-import os
-
-
-def print_tree(root, prefix=""):
-    items = sorted(
-        name for name in os.listdir(root)
-        if name != "__pycache__"
-    )
-    total = len(items)
-
-    for i, name in enumerate(items):
-        path = os.path.join(root, name)
-        is_last = (i == total - 1)
-
-        connector = "└── " if is_last else "├── "
-        print(prefix + connector + name)
-
-        if os.path.isdir(path):
-            extension = "    " if is_last else "│   "
-            print_tree(path, prefix + extension)
-
-
-root_dir = r"E:\ScnuProject\InsightRadar\backend\app"
-print(os.path.basename(root_dir) + "/")
-print_tree(root_dir)
-
-

backend/test1.py

@@ -1,57 +0,0 @@
-# from dotenv import load_dotenv
-# import os
-# import time
-#
-# print("step 1: loading env")
-# load_dotenv()
-#
-# hf_token = os.getenv("HF_TOKEN")
-# print("step 2:", "HF_TOKEN loaded" if hf_token else "No token")
-#
-# print("step 3: importing sentence-transformers")
-# from sentence_transformers import SentenceTransformer
-#
-# print("step 4: start loading model")
-# t0 = time.time()
-# model = SentenceTransformer(r"E:\Models\bge-m3", local_files_only=True, device="cuda")
-# print(f"step 5: model loaded in {time.time() - t0:.2f}s")
-#
-# print("step 6: importing sklearn/numpy")
-# from sklearn.metrics.pairwise import cosine_similarity
-# import numpy as np
-#
-# titles = [
-#     # A组：同品牌同产品，但含义不同
-#     "苹果发布新款iPhone，影像系统再次升级",
-#     "苹果推出全新iPhone，摄像头性能进一步增强",
-#     "苹果回应新款iPhone发热问题：将通过系统更新修复",
-#     "苹果下调部分旧款iPhone售价，新机型并未参与促销",
-#
-#     # B组：看起来都像“苹果新闻”，但主题已变
-#     "苹果公司股价上涨，市值再创新高",
-#     "苹果供应链承压，部分零部件厂商下调全年预期",
-#     "苹果被曝缩减Vision产品产量，市场需求不及预期",
-#     "苹果发布新款MacBook，并未更新iPhone产品线",
-#
-#     # C组：同样是“发布/推出”，但主体不同
-#     "华为发布新款手机，影像能力进一步提升",
-#     "小米推出全新手机，影像系统迎来升级",
-#     "OPPO发布年度旗舰机型，主打夜景拍摄",
-# ]
-#
-# print("step 7: start encoding")
-# t1 = time.time()
-# embeddings = model.encode(
-#     titles,
-#     normalize_embeddings=True,
-#     show_progress_bar=True,
-#     batch_size=16
-# )
-# print(f"step 8: encode done in {time.time() - t1:.2f}s")
-#
-# sim = cosine_similarity(embeddings)
-# print(np.round(sim, 4))
-#
-import secrets
-
-print(secrets.token_urlsafe(64))

backend/test_main.http

@@ -1,34 +0,0 @@
-# Health
-GET http://127.0.0.1:8000/
-Accept: application/json
-
-###
-# Send register verification code
-POST http://127.0.0.1:8000/api/v1/auth/register/send-code
-Content-Type: application/json
-
-{
-  "email": "demo@example.com"
-}
-
-###
-# Register by verification code
-POST http://127.0.0.1:8000/api/v1/auth/register
-Content-Type: application/json
-
-{
-  "email": "demo@example.com",
-  "password": "DemoPass123",
-  "verification_code": "123456",
-  "nickname": "demo_user"
-}
-
-###
-# Login
-POST http://127.0.0.1:8000/api/v1/auth/login
-Content-Type: application/json
-
-{
-  "email": "demo@example.com",
-  "password": "DemoPass123"
-}