debug

util/RTCContext.cpp

@@ -64,39 +64,30 @@ void RTCContext::onAudioProcess(const char* roomId, const char* peerId,
     namespace py = boost::python;
 
     // 1. 获取 GIL（绝对必要）
-    py::gil_scoped_acquire gil;
+    PyGILState_STATE gstate = PyGILState_Ensure();
 
     try {
         std::cout << "-----------------------------------" << std::endl;
         std::cout << "dataCount:" << audioFrame.dataCount << std::endl;
-
-        // 2. 严格校验输入数据
         if (!audioFrame.data || audioFrame.dataCount <= 0) {
             std::cerr << "Invalid audio frame data" << std::endl;
+            PyGILState_Release(gstate);
             return;
         }
-
         std::cout << "step1" << std::endl;
-        // 3. 检查 NumPy API 状态（关键！）
-        if (PyArray_API == nullptr) {
-            std::cerr << "NumPy API not initialized" << std::endl;
-            return;
-        }
+        npy_intp dims[1] = {audioFrame.dataCount};
 
         std::cout << "step2" << std::endl;
-        // 4. 安全创建 NumPy 数组（深拷贝方案）
-        npy_intp dims[1] = {audioFrame.dataCount};
-        PyObject* pyArray = PyArray_SimpleNew(1, dims, NPY_INT16);  // 创建新数组
-        if (!pyArray) {
-            std::cerr << "Failed to create NumPy array" << std::endl;
-            return;
-        }
+        PyObject* pyArray = PyArray_SimpleNew(1, dims, NPY_INT16);
         std::cout << "step3" << std::endl;
-
-        // 5. 拷贝数据（避免外部内存问题）
-        void* array_data = PyArray_DATA((PyArrayObject*)pyArray);
+        if (!pyArray) {
+            PyGILState_Release(gstate);
+            throw std::runtime_error("Failed to create NumPy array");
+        }
         std::cout << "step4" << std::endl;
-        std::memcpy(array_data, audioFrame.data, audioFrame.dataCount * sizeof(int16_t));
+        std::memcpy(PyArray_DATA((PyArrayObject*)pyArray),
+                    audioFrame.data,
+                    audioFrame.dataCount * sizeof(int16_t));
         std::cout << "step5" << std::endl;
 
         // 6. 执行回调