账号解析&接口相应性能
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+71
-2
@@ -51,6 +51,50 @@ def require_token(token: Optional[str]):
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if ADMIN_TOKEN and token != ADMIN_TOKEN:
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raise HTTPException(status_code=401, detail="Unauthorized")
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# ---- 内存缓存:提升 API 响应速度 ----
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class Cache:
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def __init__(self):
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self._profiles_cache = {"data": None, "ts": 0}
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self._profiles_cache_ttl = 2 # 配置缓存 2 秒
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self._status_cache = {"data": None, "ts": 0}
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self._status_cache_ttl = 1 # 状态缓存 1 秒
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def get_profiles(self) -> Optional[List[Dict[str, Any]]]:
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"""获取缓存的 profiles,未过期则返回缓存"""
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now = time.time()
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if self._profiles_cache["data"] and (now - self._profiles_cache["ts"]) < self._profiles_cache_ttl:
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return self._profiles_cache["data"]
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return None
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def set_profiles(self, data: List[Dict[str, Any]]):
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"""更新 profiles 缓存"""
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self._profiles_cache["data"] = data
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self._profiles_cache["ts"] = time.time()
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def invalidate_profiles(self):
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"""使 profiles 缓存失效"""
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self._profiles_cache["data"] = None
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self._profiles_cache["ts"] = 0
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def get_status(self) -> Optional[Dict[str, Any]]:
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"""获取缓存的状态"""
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now = time.time()
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if self._status_cache["data"] and (now - self._status_cache["ts"]) < self._status_cache_ttl:
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return self._status_cache["data"]
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return None
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def set_status(self, data: Dict[str, Any]):
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"""更新状态缓存"""
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self._status_cache["data"] = data
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self._status_cache["ts"] = time.time()
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def invalidate_status(self):
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"""使状态缓存失效"""
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self._status_cache["data"] = None
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self._status_cache["ts"] = 0
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cache = Cache()
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# ---- logging hub (queue + websocket broadcast) ----
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class LogHub:
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def __init__(self):
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@@ -337,6 +381,8 @@ class TaskManager:
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self.stop_event.clear()
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self.running = True
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self.progress.update({"total": len(profiles), "done": 0, "current": "", "status": "running", "last_error": ""})
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# 使状态缓存失效
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cache.invalidate_status()
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def run():
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try:
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@@ -367,6 +413,8 @@ class TaskManager:
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self._log(f"[任务][致命错误] {e}")
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finally:
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self.running = False
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# 使状态缓存失效
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cache.invalidate_status()
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self.thread = threading.Thread(target=run, daemon=True)
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self.thread.start()
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@@ -403,6 +451,11 @@ def ping():
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@app.get("/api/status")
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def status(token: Optional[str] = None):
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require_token(token)
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# 尝试从缓存获取
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cached = cache.get_status()
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if cached is not None:
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return cached
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cfg = taskmgr.load_config()
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storage_path = _resolve_storage_path(cfg)
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login_ok = False
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@@ -413,13 +466,16 @@ def status(token: Optional[str] = None):
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loghub.emit(f"[状态] 检查登录态异常: {e}")
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login_msg = str(e)
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return {
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result = {
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"running": taskmgr.running,
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"progress": taskmgr.progress,
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"login_ok": login_ok,
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"login_msg": login_msg,
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"storage_state_path": storage_path,
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}
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# 更新缓存
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cache.set_status(result)
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return result
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@app.get("/api/config")
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def get_config(token: Optional[str] = None):
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@@ -440,7 +496,14 @@ def set_config(payload: Dict[str, Any], token: Optional[str] = None):
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def get_profiles(token: Optional[str] = None):
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require_token(token)
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require_login_state()
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return taskmgr.load_profiles()
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# 尝试从缓存获取
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cached = cache.get_profiles()
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if cached is not None:
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return cached
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# 缓存未命中,从文件加载
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data = taskmgr.load_profiles()
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cache.set_profiles(data)
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return data
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@app.post("/api/profiles")
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def set_profiles(payload: List[Dict[str, Any]], token: Optional[str] = None):
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@@ -448,6 +511,8 @@ def set_profiles(payload: List[Dict[str, Any]], token: Optional[str] = None):
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require_login_state()
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with open(PROFILES_PATH, "w", encoding="utf-8") as f:
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json.dump(payload, f, ensure_ascii=False, indent=2)
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# 更新缓存
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cache.set_profiles(payload)
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loghub.emit(f"[Profiles] 已保存 profiles.json,共 {len(payload)} 条")
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return {"ok": True}
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@@ -491,6 +556,8 @@ def resolve_profile(payload: Dict[str, Any], token: Optional[str] = None):
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merged, added, updated = _merge_profile(existing, profile)
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with open(PROFILES_PATH, "w", encoding="utf-8") as f:
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json.dump(merged, f, ensure_ascii=False, indent=2)
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# 更新缓存
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cache.set_profiles(merged)
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if added:
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loghub.emit(f"[Profiles] 解析新增账号:{profile.get('xhs_no') or profile.get('url')}")
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elif updated:
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@@ -662,6 +729,8 @@ def profiles_import_excel(payload: Dict[str, Any], token: Optional[str] = None):
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add_count += 1
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with open(PROFILES_PATH, "w", encoding="utf-8") as f:
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json.dump(merged, f, ensure_ascii=False, indent=2)
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# 更新缓存
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cache.set_profiles(merged)
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loghub.emit(f"[Profiles] Excel 导入完成:新增 {add_count} 条(总计 {len(merged)})")
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return {"ok": True, "added": add_count, "total": len(merged), "profiles": merged}
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@@ -470,6 +470,15 @@ def resolve_profile_by_search(
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page.goto(search_url, wait_until="domcontentloaded", timeout=60000)
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page.wait_for_timeout(1200)
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# 检查当前 URL,防止被重定向到个人主页
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current_url = page.url
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_log(log, f"[账号] 当前页面:{current_url}")
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if "/user/profile/" in current_url and current_url != search_url:
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# 被重定向到某个用户主页,这可能是搜索机制导致的
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_log(log, f"[账号] 检测到重定向到用户主页,尝试返回搜索页")
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page.goto(search_url, wait_until="domcontentloaded", timeout=60000)
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page.wait_for_timeout(1500)
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# ✅ 不再嵌套调用 check_login_state_with_storage(避免二次启动 playwright)
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for t in ["扫码登录", "安全验证", "请先登录", "登录后查看"]:
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try:
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@@ -490,14 +499,19 @@ def resolve_profile_by_search(
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try:
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loc = page.locator(sel)
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if loc.count() > 0:
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_log(log, f"[账号] 找到用户标签:{sel}")
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loc.first.click(timeout=3000)
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page.wait_for_timeout(500)
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return True
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except Exception:
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pass
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try:
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_log(log, f"[账号] 尝试通过角色定位用户标签")
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page.get_by_role("tab", name="用户").click(timeout=3000)
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page.wait_for_timeout(500)
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return True
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except Exception:
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_log(log, f"[账号] 未找到用户标签,可能已经是用户搜索结果")
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return False
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def _wait_user_items() -> bool:
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@@ -546,6 +560,7 @@ def resolve_profile_by_search(
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items, use_anchor_only = _find_user_items()
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n = items.count()
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_log(log, f"[账号] 找到 {n} 个用户结果,使用模式:{'锚点链接' if use_anchor_only else '结构化元素'}")
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if n == 0:
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context.close(); browser.close()
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raise RuntimeError("未找到用户结果(可能被拦截/需要更完整登录态)")
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@@ -555,6 +570,7 @@ def resolve_profile_by_search(
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for i in range(n):
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it = items.nth(i)
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_log(log, f"[账号] 分析第 {i+1}/{n} 个结果...")
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if use_anchor_only:
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href = (it.get_attribute("href") or "").strip()
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nickname = ""
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@@ -618,6 +634,8 @@ def resolve_profile_by_search(
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if _extract_profile_id_from_href(href):
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score += 5
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_log(log, f"[账号] - 昵称: {nickname[:30] if len(nickname) > 30 else nickname}, 账号: {xhs_no}, 得分: {score}")
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if score > best_score:
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best_score = score
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url = "https://www.xiaohongshu.com" + href if href.startswith("/") else href
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