🐞 fix: 增加错误之后对已解析段落的缓存功能,再次重试时不再重头开始

解析长视频时,当附件大小过大时不再调用后进行报错,而是将附件进行分批次发送

在每篇笔记开头默认增加地址来源链接,对模糊处可溯源

backend/tests/test_task_serial_executor.py

@@ -0,0 +1,42 @@
+import importlib.util
+import pathlib
+import threading
+import time
+import unittest
+
+
+ROOT = pathlib.Path(__file__).resolve().parents[1]
+MODULE_PATH = ROOT / "app" / "services" / "task_serial_executor.py"
+spec = importlib.util.spec_from_file_location("task_serial_executor", MODULE_PATH)
+if spec is None or spec.loader is None:
+    raise ImportError("task_serial_executor module spec not found")
+task_serial_executor = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(task_serial_executor)
+SerialTaskExecutor = task_serial_executor.SerialTaskExecutor
+
+
+class TestTaskSerialExecutor(unittest.TestCase):
+    def test_executor_runs_tasks_one_by_one(self):
+        executor = SerialTaskExecutor()
+        state_lock = threading.Lock()
+        state = {"active": 0, "peak_active": 0}
+
+        def critical_work():
+            with state_lock:
+                state["active"] += 1
+                state["peak_active"] = max(state["peak_active"], state["active"])
+            time.sleep(0.05)
+            with state_lock:
+                state["active"] -= 1
+
+        threads = [threading.Thread(target=lambda: executor.run(critical_work)) for _ in range(2)]
+        for t in threads:
+            t.start()
+        for t in threads:
+            t.join()
+
+        self.assertEqual(state["peak_active"], 1)
+
+
+if __name__ == "__main__":
+    unittest.main()