From 651737380b2be42ae5182a777abb0938a36aedc1 Mon Sep 17 00:00:00 2001
From: jmwang66 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期三, 09 八月 2023 16:48:02 +0800
Subject: [PATCH] Merge branch 'main' into dev_wjm_modelscope

---
 funasr/runtime/websocket/funasr-wss-server-2pass.cpp |  419 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 files changed, 419 insertions(+), 0 deletions(-)

diff --git a/funasr/runtime/websocket/funasr-wss-server-2pass.cpp b/funasr/runtime/websocket/funasr-wss-server-2pass.cpp
new file mode 100644
index 0000000..835cd8e
--- /dev/null
+++ b/funasr/runtime/websocket/funasr-wss-server-2pass.cpp
@@ -0,0 +1,419 @@
+/**
+ * Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights
+ * Reserved. MIT License  (https://opensource.org/licenses/MIT)
+ */
+/* 2022-2023 by zhaomingwork */
+
+// io server
+// Usage:funasr-wss-server  [--model_thread_num <int>] [--decoder_thread_num
+// <int>]
+//                    [--io_thread_num <int>] [--port <int>] [--listen_ip
+//                    <string>] [--punc-quant <string>] [--punc-dir <string>]
+//                    [--vad-quant <string>] [--vad-dir <string>] [--quantize
+//                    <string>] --model-dir <string> [--] [--version] [-h]
+#include <unistd.h>
+#include "websocket-server-2pass.h"
+
+using namespace std;
+void GetValue(TCLAP::ValueArg<std::string>& value_arg, string key,
+              std::map<std::string, std::string>& model_path) {
+  model_path.insert({key, value_arg.getValue()});
+  LOG(INFO) << key << " : " << value_arg.getValue();
+}
+int main(int argc, char* argv[]) {
+  try {
+    google::InitGoogleLogging(argv[0]);
+    FLAGS_logtostderr = true;
+
+    TCLAP::CmdLine cmd("funasr-wss-server", ' ', "1.0");
+    TCLAP::ValueArg<std::string> download_model_dir(
+        "", "download-model-dir",
+        "Download model from Modelscope to download_model_dir", false,
+        "/workspace/models", "string");
+    TCLAP::ValueArg<std::string> offline_model_dir(
+        "", OFFLINE_MODEL_DIR,
+        "default: damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx, the asr model path, which "
+        "contains model_quant.onnx, config.yaml, am.mvn",
+        false, "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx", "string");
+    TCLAP::ValueArg<std::string> online_model_dir(
+        "", ONLINE_MODEL_DIR,
+        "default: damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx, the asr model path, which "
+        "contains model_quant.onnx, config.yaml, am.mvn",
+        false, "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx", "string");
+
+    TCLAP::ValueArg<std::string> offline_model_revision(
+        "", "offline-model-revision", "ASR offline model revision", false,
+        "v1.2.1", "string");
+
+    TCLAP::ValueArg<std::string> online_model_revision(
+        "", "online-model-revision", "ASR online model revision", false,
+        "v1.0.6", "string");
+
+    TCLAP::ValueArg<std::string> quantize(
+        "", QUANTIZE,
+        "true (Default), load the model of model_quant.onnx in model_dir. If "
+        "set "
+        "false, load the model of model.onnx in model_dir",
+        false, "true", "string");
+    TCLAP::ValueArg<std::string> vad_dir(
+        "", VAD_DIR,
+        "default: damo/speech_fsmn_vad_zh-cn-16k-common-onnx, the vad model path, which contains "
+        "model_quant.onnx, vad.yaml, vad.mvn",
+        false, "damo/speech_fsmn_vad_zh-cn-16k-common-onnx", "string");
+    TCLAP::ValueArg<std::string> vad_revision(
+        "", "vad-revision", "VAD model revision", false, "v1.2.0", "string");
+    TCLAP::ValueArg<std::string> vad_quant(
+        "", VAD_QUANT,
+        "true (Default), load the model of model_quant.onnx in vad_dir. If set "
+        "false, load the model of model.onnx in vad_dir",
+        false, "true", "string");
+    TCLAP::ValueArg<std::string> punc_dir(
+        "", PUNC_DIR,
+        "default: damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx, the punc model path, which contains "
+        "model_quant.onnx, punc.yaml",
+        false, "damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx", "string");
+    TCLAP::ValueArg<std::string> punc_revision(
+        "", "punc-revision", "PUNC model revision", false, "v1.0.2", "string");
+    TCLAP::ValueArg<std::string> punc_quant(
+        "", PUNC_QUANT,
+        "true (Default), load the model of model_quant.onnx in punc_dir. If "
+        "set "
+        "false, load the model of model.onnx in punc_dir",
+        false, "true", "string");
+
+    TCLAP::ValueArg<std::string> listen_ip("", "listen-ip", "listen ip", false,
+                                           "0.0.0.0", "string");
+    TCLAP::ValueArg<int> port("", "port", "port", false, 10095, "int");
+    TCLAP::ValueArg<int> io_thread_num("", "io-thread-num", "io thread num",
+                                       false, 8, "int");
+    TCLAP::ValueArg<int> decoder_thread_num(
+        "", "decoder-thread-num", "decoder thread num", false, 8, "int");
+    TCLAP::ValueArg<int> model_thread_num("", "model-thread-num",
+                                          "model thread num", false, 4, "int");
+
+    TCLAP::ValueArg<std::string> certfile(
+        "", "certfile",
+        "default: ../../../ssl_key/server.crt, path of certficate for WSS "
+        "connection. if it is empty, it will be in WS mode.",
+        false, "../../../ssl_key/server.crt", "string");
+    TCLAP::ValueArg<std::string> keyfile(
+        "", "keyfile",
+        "default: ../../../ssl_key/server.key, path of keyfile for WSS "
+        "connection",
+        false, "../../../ssl_key/server.key", "string");
+
+    cmd.add(certfile);
+    cmd.add(keyfile);
+
+    cmd.add(download_model_dir);
+    cmd.add(offline_model_dir);
+    cmd.add(online_model_dir);
+    cmd.add(offline_model_revision);
+    cmd.add(online_model_revision);
+    cmd.add(quantize);
+    cmd.add(vad_dir);
+    cmd.add(vad_revision);
+    cmd.add(vad_quant);
+    cmd.add(punc_dir);
+    cmd.add(punc_revision);
+    cmd.add(punc_quant);
+
+    cmd.add(listen_ip);
+    cmd.add(port);
+    cmd.add(io_thread_num);
+    cmd.add(decoder_thread_num);
+    cmd.add(model_thread_num);
+    cmd.parse(argc, argv);
+
+    std::map<std::string, std::string> model_path;
+    GetValue(offline_model_dir, OFFLINE_MODEL_DIR, model_path);
+    GetValue(online_model_dir, ONLINE_MODEL_DIR, model_path);
+    GetValue(quantize, QUANTIZE, model_path);
+    GetValue(vad_dir, VAD_DIR, model_path);
+    GetValue(vad_quant, VAD_QUANT, model_path);
+    GetValue(punc_dir, PUNC_DIR, model_path);
+    GetValue(punc_quant, PUNC_QUANT, model_path);
+
+    GetValue(offline_model_revision, "offline-model-revision", model_path);
+    GetValue(online_model_revision, "online-model-revision", model_path);
+    GetValue(vad_revision, "vad-revision", model_path);
+    GetValue(punc_revision, "punc-revision", model_path);
+
+    // Download model form Modelscope
+    try {
+      std::string s_download_model_dir = download_model_dir.getValue();
+
+      std::string s_vad_path = model_path[VAD_DIR];
+      std::string s_vad_quant = model_path[VAD_QUANT];
+      std::string s_offline_asr_path = model_path[OFFLINE_MODEL_DIR];
+      std::string s_online_asr_path = model_path[ONLINE_MODEL_DIR];
+      std::string s_asr_quant = model_path[QUANTIZE];
+      std::string s_punc_path = model_path[PUNC_DIR];
+      std::string s_punc_quant = model_path[PUNC_QUANT];
+
+      std::string python_cmd =
+          "python -m funasr.utils.runtime_sdk_download_tool --type onnx --quantize True ";
+
+      if (!s_vad_path.empty()) {
+        std::string python_cmd_vad;
+        std::string down_vad_path;
+        std::string down_vad_model;
+
+        if (access(s_vad_path.c_str(), F_OK) == 0) {
+          // local
+          python_cmd_vad = python_cmd + " --model-name " + s_vad_path +
+                           " --export-dir ./ " + " --model_revision " +
+                           model_path["vad-revision"];
+          down_vad_path = s_vad_path;
+        } else {
+          // modelscope
+          LOG(INFO) << "Download model: " << s_vad_path
+                    << " from modelscope: "; 
+		  python_cmd_vad = python_cmd + " --model-name " +
+                s_vad_path +
+                " --export-dir " + s_download_model_dir +
+                " --model_revision " + model_path["vad-revision"]; 
+		  down_vad_path  =
+                s_download_model_dir +
+                "/" + s_vad_path;
+        }
+
+        int ret = system(python_cmd_vad.c_str());
+        if (ret != 0) {
+          LOG(INFO) << "Failed to download model from modelscope. If you set local vad model path, you can ignore the errors.";
+        }
+        down_vad_model = down_vad_path + "/model_quant.onnx";
+        if (s_vad_quant == "false" || s_vad_quant == "False" ||
+            s_vad_quant == "FALSE") {
+          down_vad_model = down_vad_path + "/model.onnx";
+        }
+
+        if (access(down_vad_model.c_str(), F_OK) != 0) {
+          LOG(ERROR) << down_vad_model << " do not exists.";
+          exit(-1);
+        } else {
+          model_path[VAD_DIR] = down_vad_path;
+          LOG(INFO) << "Set " << VAD_DIR << " : " << model_path[VAD_DIR];
+        }
+      }
+      else {
+        LOG(INFO) << "VAD model is not set, use default.";
+      }
+
+      if (!s_offline_asr_path.empty()) {
+        std::string python_cmd_asr;
+        std::string down_asr_path;
+        std::string down_asr_model;
+
+        if (access(s_offline_asr_path.c_str(), F_OK) == 0) {
+          // local
+          python_cmd_asr = python_cmd + " --model-name " + s_offline_asr_path +
+                           " --export-dir ./ " + " --model_revision " +
+                           model_path["offline-model-revision"];
+          down_asr_path = s_offline_asr_path;
+        } else {
+          // modelscope
+          LOG(INFO) << "Download model: " << s_offline_asr_path
+                    << " from modelscope : "; 
+          python_cmd_asr = python_cmd + " --model-name " +
+                  s_offline_asr_path +
+                  " --export-dir " + s_download_model_dir +
+                  " --model_revision " + model_path["offline-model-revision"]; 
+          down_asr_path
+                = s_download_model_dir + "/" + s_offline_asr_path;
+        }
+
+        int ret = system(python_cmd_asr.c_str());
+        if (ret != 0) {
+          LOG(INFO) << "Failed to download model from modelscope. If you set local asr model path, you can ignore the errors.";
+        }
+        down_asr_model = down_asr_path + "/model_quant.onnx";
+        if (s_asr_quant == "false" || s_asr_quant == "False" ||
+            s_asr_quant == "FALSE") {
+          down_asr_model = down_asr_path + "/model.onnx";
+        }
+
+        if (access(down_asr_model.c_str(), F_OK) != 0) {
+          LOG(ERROR) << down_asr_model << " do not exists.";
+          exit(-1);
+        } else {
+          model_path[OFFLINE_MODEL_DIR] = down_asr_path;
+          LOG(INFO) << "Set " << OFFLINE_MODEL_DIR << " : " << model_path[OFFLINE_MODEL_DIR];
+        }
+      } else {
+        LOG(INFO) << "ASR Offline model is not set, use default.";
+      }
+
+      if (!s_online_asr_path.empty()) {
+        std::string python_cmd_asr;
+        std::string down_asr_path;
+        std::string down_asr_model;
+
+        if (access(s_online_asr_path.c_str(), F_OK) == 0) {
+          // local
+          python_cmd_asr = python_cmd + " --model-name " + s_online_asr_path +
+                           " --export-dir ./ " + " --model_revision " +
+                           model_path["online-model-revision"];
+          down_asr_path = s_online_asr_path;
+        } else {
+          // modelscope
+          LOG(INFO) << "Download model: " << s_online_asr_path
+                    << " from modelscope : "; 
+          python_cmd_asr = python_cmd + " --model-name " +
+                    s_online_asr_path +
+                    " --export-dir " + s_download_model_dir +
+                    " --model_revision " + model_path["online-model-revision"]; 
+          down_asr_path
+                  = s_download_model_dir + "/" + s_online_asr_path;
+        }
+
+        int ret = system(python_cmd_asr.c_str());
+        if (ret != 0) {
+          LOG(INFO) << "Failed to download model from modelscope. If you set local asr model path,  you can ignore the errors.";
+        }
+        down_asr_model = down_asr_path + "/model_quant.onnx";
+        if (s_asr_quant == "false" || s_asr_quant == "False" ||
+            s_asr_quant == "FALSE") {
+          down_asr_model = down_asr_path + "/model.onnx";
+        }
+
+        if (access(down_asr_model.c_str(), F_OK) != 0) {
+          LOG(ERROR) << down_asr_model << " do not exists.";
+          exit(-1);
+        } else {
+          model_path[ONLINE_MODEL_DIR] = down_asr_path;
+          LOG(INFO) << "Set " << ONLINE_MODEL_DIR << " : " << model_path[ONLINE_MODEL_DIR];
+        }
+      } else {
+        LOG(INFO) << "ASR online model is not set, use default.";
+      }
+
+      if (!s_punc_path.empty()) {
+        std::string python_cmd_punc;
+        std::string down_punc_path;
+        std::string down_punc_model;
+
+        if (access(s_punc_path.c_str(), F_OK) == 0) {
+          // local
+          python_cmd_punc = python_cmd + " --model-name " + s_punc_path +
+                            " --export-dir ./ " + " --model_revision " +
+                            model_path["punc-revision"];
+          down_punc_path = s_punc_path;
+        } else {
+          // modelscope
+          LOG(INFO) << "Download model: " << s_punc_path
+                    << " from modelscope : "; python_cmd_punc = python_cmd + " --model-name " +
+                s_punc_path +
+                " --export-dir " + s_download_model_dir +
+                " --model_revision " + model_path["punc-revision"]; 
+          down_punc_path  =
+                s_download_model_dir +
+                "/" + s_punc_path;
+        }
+
+        int ret = system(python_cmd_punc.c_str());
+        if (ret != 0) {
+          LOG(INFO) << "Failed to download model from modelscope. If you set local punc model path, you can ignore the errors.";
+        }
+        down_punc_model = down_punc_path + "/model_quant.onnx";
+        if (s_punc_quant == "false" || s_punc_quant == "False" ||
+            s_punc_quant == "FALSE") {
+          down_punc_model = down_punc_path + "/model.onnx";
+        }
+
+        if (access(down_punc_model.c_str(), F_OK) != 0) {
+          LOG(ERROR) << down_punc_model << " do not exists.";
+          exit(-1);
+        } else {
+          model_path[PUNC_DIR] = down_punc_path;
+          LOG(INFO) << "Set " << PUNC_DIR << " : " << model_path[PUNC_DIR];
+        }
+      } else {
+        LOG(INFO) << "PUNC model is not set, use default.";
+      }
+
+    } catch (std::exception const& e) {
+      LOG(ERROR) << "Error: " << e.what();
+    }
+
+    std::string s_listen_ip = listen_ip.getValue();
+    int s_port = port.getValue();
+    int s_io_thread_num = io_thread_num.getValue();
+    int s_decoder_thread_num = decoder_thread_num.getValue();
+
+    int s_model_thread_num = model_thread_num.getValue();
+
+    asio::io_context io_decoder;  // context for decoding
+    asio::io_context io_server;   // context for server
+
+    std::vector<std::thread> decoder_threads;
+
+    std::string s_certfile = certfile.getValue();
+    std::string s_keyfile = keyfile.getValue();
+
+    bool is_ssl = false;
+    if (!s_certfile.empty()) {
+      is_ssl = true;
+    }
+
+    auto conn_guard = asio::make_work_guard(
+        io_decoder);  // make sure threads can wait in the queue
+    auto server_guard = asio::make_work_guard(
+        io_server);  // make sure threads can wait in the queue
+    // create threads pool
+    for (int32_t i = 0; i < s_decoder_thread_num; ++i) {
+      decoder_threads.emplace_back([&io_decoder]() { io_decoder.run(); });
+    }
+
+    server server_;  // server for websocket
+    wss_server wss_server_;
+    if (is_ssl) {
+      wss_server_.init_asio(&io_server);  // init asio
+      wss_server_.set_reuse_addr(
+          true);  // reuse address as we create multiple threads
+
+      // list on port for accept
+      wss_server_.listen(asio::ip::address::from_string(s_listen_ip), s_port);
+      WebSocketServer websocket_srv(
+          io_decoder, is_ssl, nullptr, &wss_server_, s_certfile,
+          s_keyfile);  // websocket server for asr engine
+      websocket_srv.initAsr(model_path, s_model_thread_num);  // init asr model
+
+    } else {
+      server_.init_asio(&io_server);  // init asio
+      server_.set_reuse_addr(
+          true);  // reuse address as we create multiple threads
+
+      // list on port for accept
+      server_.listen(asio::ip::address::from_string(s_listen_ip), s_port);
+      WebSocketServer websocket_srv(
+          io_decoder, is_ssl, &server_, nullptr, s_certfile,
+          s_keyfile);  // websocket server for asr engine
+      websocket_srv.initAsr(model_path, s_model_thread_num);  // init asr model
+    }
+
+    std::cout << "asr model init finished. listen on port:" << s_port
+              << std::endl;
+
+    // Start the ASIO network io_service run loop
+    std::vector<std::thread> ts;
+    // create threads for io network
+    for (size_t i = 0; i < s_io_thread_num; i++) {
+      ts.emplace_back([&io_server]() { io_server.run(); });
+    }
+    // wait for theads
+    for (size_t i = 0; i < s_io_thread_num; i++) {
+      ts[i].join();
+    }
+
+    // wait for theads
+    for (auto& t : decoder_threads) {
+      t.join();
+    }
+
+  } catch (std::exception const& e) {
+    std::cerr << "Error: " << e.what() << std::endl;
+  }
+
+  return 0;
+}

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