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+/**
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+ * Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights
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+ * Reserved. MIT License (https://opensource.org/licenses/MIT)
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+ */
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+/* 2022-2023 by zhaomingwork */
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+
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+// io server
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+// Usage:funasr-wss-server [--model_thread_num <int>] [--decoder_thread_num
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+// <int>]
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+// [--io_thread_num <int>] [--port <int>] [--listen_ip
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+// <string>] [--punc-quant <string>] [--punc-dir <string>]
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+// [--vad-quant <string>] [--vad-dir <string>] [--quantize
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+// <string>] --model-dir <string> [--] [--version] [-h]
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+#include <unistd.h>
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+#include "websocket-server-2pass.h"
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+
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+using namespace std;
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+void GetValue(TCLAP::ValueArg<std::string>& value_arg, string key,
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+ std::map<std::string, std::string>& model_path) {
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+ model_path.insert({key, value_arg.getValue()});
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+ LOG(INFO) << key << " : " << value_arg.getValue();
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+}
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+int main(int argc, char* argv[]) {
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+ try {
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+ google::InitGoogleLogging(argv[0]);
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+ FLAGS_logtostderr = true;
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+
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+ TCLAP::CmdLine cmd("funasr-wss-server", ' ', "1.0");
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+ TCLAP::ValueArg<std::string> download_model_dir(
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+ "", "download-model-dir",
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+ "Download model from Modelscope to download_model_dir", false,
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+ "/workspace/models", "string");
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+ TCLAP::ValueArg<std::string> offline_model_dir(
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+ "", OFFLINE_MODEL_DIR,
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+ "default: /workspace/models/offline_asr, the asr model path, which "
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+ "contains model_quant.onnx, config.yaml, am.mvn",
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+ false, "/workspace/models/offline_asr", "string");
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+ TCLAP::ValueArg<std::string> online_model_dir(
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+ "", ONLINE_MODEL_DIR,
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+ "default: /workspace/models/online_asr, the asr model path, which "
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+ "contains model_quant.onnx, config.yaml, am.mvn",
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+ false, "/workspace/models/online_asr", "string");
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+
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+ TCLAP::ValueArg<std::string> offline_model_revision(
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+ "", "offline-model-revision", "ASR offline model revision", false,
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+ "v1.2.1", "string");
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+
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+ TCLAP::ValueArg<std::string> online_model_revision(
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+ "", "online-model-revision", "ASR online model revision", false,
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+ "v1.0.4", "string");
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+
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+ TCLAP::ValueArg<std::string> quantize(
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+ "", QUANTIZE,
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+ "true (Default), load the model of model_quant.onnx in model_dir. If "
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+ "set "
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+ "false, load the model of model.onnx in model_dir",
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+ false, "true", "string");
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+ TCLAP::ValueArg<std::string> vad_dir(
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+ "", VAD_DIR,
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+ "default: /workspace/models/vad, the vad model path, which contains "
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+ "model_quant.onnx, vad.yaml, vad.mvn",
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+ false, "/workspace/models/vad", "string");
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+ TCLAP::ValueArg<std::string> vad_revision(
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+ "", "vad-revision", "VAD model revision", false, "v1.2.0", "string");
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+ TCLAP::ValueArg<std::string> vad_quant(
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+ "", VAD_QUANT,
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+ "true (Default), load the model of model_quant.onnx in vad_dir. If set "
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+ "false, load the model of model.onnx in vad_dir",
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+ false, "true", "string");
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+ TCLAP::ValueArg<std::string> punc_dir(
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+ "", PUNC_DIR,
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+ "default: /workspace/models/punc, the punc model path, which contains "
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+ "model_quant.onnx, punc.yaml",
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+ false, "/workspace/models/punc", "string");
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+ TCLAP::ValueArg<std::string> punc_revision(
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+ "", "punc-revision", "PUNC model revision", false, "0.4.7", "string");
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+ TCLAP::ValueArg<std::string> punc_quant(
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+ "", PUNC_QUANT,
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+ "true (Default), load the model of model_quant.onnx in punc_dir. If "
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+ "set "
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+ "false, load the model of model.onnx in punc_dir",
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+ false, "true", "string");
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+
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+ TCLAP::ValueArg<std::string> listen_ip("", "listen-ip", "listen ip", false,
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+ "0.0.0.0", "string");
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+ TCLAP::ValueArg<int> port("", "port", "port", false, 10095, "int");
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+ TCLAP::ValueArg<int> io_thread_num("", "io-thread-num", "io thread num",
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+ false, 8, "int");
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+ TCLAP::ValueArg<int> decoder_thread_num(
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+ "", "decoder-thread-num", "decoder thread num", false, 8, "int");
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+ TCLAP::ValueArg<int> model_thread_num("", "model-thread-num",
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+ "model thread num", false, 1, "int");
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+
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+ TCLAP::ValueArg<std::string> certfile(
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+ "", "certfile",
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+ "default: ../../../ssl_key/server.crt, path of certficate for WSS "
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+ "connection. if it is empty, it will be in WS mode.",
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+ false, "../../../ssl_key/server.crt", "string");
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+ TCLAP::ValueArg<std::string> keyfile(
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+ "", "keyfile",
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+ "default: ../../../ssl_key/server.key, path of keyfile for WSS "
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+ "connection",
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+ false, "../../../ssl_key/server.key", "string");
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+
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+ cmd.add(certfile);
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+ cmd.add(keyfile);
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+
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+ cmd.add(download_model_dir);
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+ cmd.add(offline_model_dir);
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+ cmd.add(online_model_dir);
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+ cmd.add(offline_model_revision);
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+ cmd.add(online_model_revision);
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+ cmd.add(quantize);
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+ cmd.add(vad_dir);
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+ cmd.add(vad_revision);
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+ cmd.add(vad_quant);
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+ cmd.add(punc_dir);
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+ cmd.add(punc_revision);
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+ cmd.add(punc_quant);
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+
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+ cmd.add(listen_ip);
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+ cmd.add(port);
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+ cmd.add(io_thread_num);
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+ cmd.add(decoder_thread_num);
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+ cmd.add(model_thread_num);
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+ cmd.parse(argc, argv);
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+
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+ std::map<std::string, std::string> model_path;
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+ GetValue(offline_model_dir, OFFLINE_MODEL_DIR, model_path);
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+ GetValue(online_model_dir, ONLINE_MODEL_DIR, model_path);
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+ GetValue(quantize, QUANTIZE, model_path);
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+ GetValue(vad_dir, VAD_DIR, model_path);
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+ GetValue(vad_quant, VAD_QUANT, model_path);
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+ GetValue(punc_dir, PUNC_DIR, model_path);
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+ GetValue(punc_quant, PUNC_QUANT, model_path);
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+
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+ GetValue(offline_model_revision, "offline-model-revision", model_path);
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+ GetValue(online_model_revision, "online-model-revision", model_path);
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+ GetValue(vad_revision, "vad-revision", model_path);
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+ GetValue(punc_revision, "punc-revision", model_path);
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+
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+ // Download model form Modelscope
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+ try {
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+ std::string s_download_model_dir = download_model_dir.getValue();
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+
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+ std::string s_vad_path = model_path[VAD_DIR];
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+ std::string s_vad_quant = model_path[VAD_QUANT];
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+ std::string s_offline_asr_path = model_path[OFFLINE_MODEL_DIR];
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+ std::string s_online_asr_path = model_path[ONLINE_MODEL_DIR];
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+ std::string s_asr_quant = model_path[QUANTIZE];
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+ std::string s_punc_path = model_path[PUNC_DIR];
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+ std::string s_punc_quant = model_path[PUNC_QUANT];
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+
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+ std::string python_cmd =
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+ "python -m funasr.utils.runtime_sdk_download_tool --type onnx --quantize True ";
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+
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+ if (vad_dir.isSet() && !s_vad_path.empty()) {
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+ std::string python_cmd_vad;
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+ std::string down_vad_path;
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+ std::string down_vad_model;
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+
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+ if (access(s_vad_path.c_str(), F_OK) == 0) {
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+ // local
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+ python_cmd_vad = python_cmd + " --model-name " + s_vad_path +
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+ " --export-dir ./ " + " --model_revision " +
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+ model_path["vad-revision"];
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+ down_vad_path = s_vad_path;
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+ } else {
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+ // modelscope
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+ LOG(INFO) << "Download model: " << s_vad_path
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+ << " from modelscope: ";
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+ python_cmd_vad = python_cmd + " --model-name " +
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+ s_vad_path +
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+ " --export-dir " + s_download_model_dir +
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+ " --model_revision " + model_path["vad-revision"];
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+ down_vad_path =
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+ s_download_model_dir +
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+ "/" + s_vad_path;
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+ }
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+
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+ int ret = system(python_cmd_vad.c_str());
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+ if (ret != 0) {
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+ LOG(INFO) << "Failed to download model from modelscope. If you set local vad model path, you can ignore the errors.";
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+ }
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+ down_vad_model = down_vad_path + "/model_quant.onnx";
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+ if (s_vad_quant == "false" || s_vad_quant == "False" ||
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+ s_vad_quant == "FALSE") {
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+ down_vad_model = down_vad_path + "/model.onnx";
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+ }
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+
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+ if (access(down_vad_model.c_str(), F_OK) != 0) {
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+ LOG(ERROR) << down_vad_model << " do not exists.";
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+ exit(-1);
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+ } else {
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+ model_path[VAD_DIR] = down_vad_path;
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+ LOG(INFO) << "Set " << VAD_DIR << " : " << model_path[VAD_DIR];
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+ }
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+ }
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+ else {
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+ LOG(INFO) << "VAD model is not set, use default.";
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+ }
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+
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+ if (offline_model_dir.isSet() && !s_offline_asr_path.empty()) {
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+ std::string python_cmd_asr;
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+ std::string down_asr_path;
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+ std::string down_asr_model;
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+
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+ if (access(s_offline_asr_path.c_str(), F_OK) == 0) {
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+ // local
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+ python_cmd_asr = python_cmd + " --model-name " + s_offline_asr_path +
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+ " --export-dir ./ " + " --model_revision " +
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+ model_path["offline-model-revision"];
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+ down_asr_path = s_offline_asr_path;
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+ } else {
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+ // modelscope
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+ LOG(INFO) << "Download model: " << s_offline_asr_path
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+ << " from modelscope : ";
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+ python_cmd_asr = python_cmd + " --model-name " +
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+ s_offline_asr_path +
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+ " --export-dir " + s_download_model_dir +
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+ " --model_revision " + model_path["offline-model-revision"];
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+ down_asr_path
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+ = s_download_model_dir + "/" + s_offline_asr_path;
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+ }
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+
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+ int ret = system(python_cmd_asr.c_str());
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+ if (ret != 0) {
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+ LOG(INFO) << "Failed to download model from modelscope. If you set local asr model path, you can ignore the errors.";
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+ }
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+ down_asr_model = down_asr_path + "/model_quant.onnx";
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+ if (s_asr_quant == "false" || s_asr_quant == "False" ||
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+ s_asr_quant == "FALSE") {
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+ down_asr_model = down_asr_path + "/model.onnx";
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+ }
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+
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+ if (access(down_asr_model.c_str(), F_OK) != 0) {
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+ LOG(ERROR) << down_asr_model << " do not exists.";
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+ exit(-1);
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+ } else {
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+ model_path[MODEL_DIR] = down_asr_path;
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+ LOG(INFO) << "Set " << MODEL_DIR << " : " << model_path[MODEL_DIR];
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+ }
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+ } else {
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+ LOG(INFO) << "ASR Offline model is not set, use default.";
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+ }
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+
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+ if (online_model_dir.isSet() && !s_online_asr_path.empty()) {
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+ std::string python_cmd_asr;
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+ std::string down_asr_path;
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+ std::string down_asr_model;
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+
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+ if (access(s_online_asr_path.c_str(), F_OK) == 0) {
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+ // local
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+ python_cmd_asr = python_cmd + " --model-name " + s_online_asr_path +
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+ " --export-dir ./ " + " --model_revision " +
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+ model_path["online-model-revision"];
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+ down_asr_path = s_online_asr_path;
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+ } else {
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+ // modelscope
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+ LOG(INFO) << "Download model: " << s_online_asr_path
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+ << " from modelscope : ";
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+ python_cmd_asr = python_cmd + " --model-name " +
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+ s_online_asr_path +
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+ " --export-dir " + s_download_model_dir +
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+ " --model_revision " + model_path["online-model-revision"];
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+ down_asr_path
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+ = s_download_model_dir + "/" + s_online_asr_path;
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+ }
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+
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+ int ret = system(python_cmd_asr.c_str());
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+ if (ret != 0) {
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+ LOG(INFO) << "Failed to download model from modelscope. If you set local asr model path, you can ignore the errors.";
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+ }
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+ down_asr_model = down_asr_path + "/model_quant.onnx";
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+ if (s_asr_quant == "false" || s_asr_quant == "False" ||
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+ s_asr_quant == "FALSE") {
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+ down_asr_model = down_asr_path + "/model.onnx";
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+ }
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+
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+ if (access(down_asr_model.c_str(), F_OK) != 0) {
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+ LOG(ERROR) << down_asr_model << " do not exists.";
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+ exit(-1);
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+ } else {
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+ model_path[MODEL_DIR] = down_asr_path;
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+ LOG(INFO) << "Set " << MODEL_DIR << " : " << model_path[MODEL_DIR];
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+ }
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+ } else {
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+ LOG(INFO) << "ASR online model is not set, use default.";
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+ }
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+
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+ if (punc_dir.isSet() && !s_punc_path.empty()) {
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+ std::string python_cmd_punc;
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+ std::string down_punc_path;
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+ std::string down_punc_model;
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+
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+ if (access(s_punc_path.c_str(), F_OK) == 0) {
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+ // local
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+ python_cmd_punc = python_cmd + " --model-name " + s_punc_path +
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+ " --export-dir ./ " + " --model_revision " +
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+ model_path["punc-revision"];
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+ down_punc_path = s_punc_path;
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+ } else {
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+ // modelscope
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+ LOG(INFO) << "Download model: " << s_punc_path
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+ << " from modelscope : "; python_cmd_punc = python_cmd + " --model-name " +
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+ s_punc_path +
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+ " --export-dir " + s_download_model_dir +
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+ " --model_revision " + model_path["punc-revision "];
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+ down_punc_path =
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+ s_download_model_dir +
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+ "/" + s_punc_path;
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+ }
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+
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+ int ret = system(python_cmd_punc.c_str());
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+ if (ret != 0) {
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+ LOG(INFO) << "Failed to download model from modelscope. If you set local punc model path, you can ignore the errors.";
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+ }
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+ down_punc_model = down_punc_path + "/model_quant.onnx";
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+ if (s_punc_quant == "false" || s_punc_quant == "False" ||
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+ s_punc_quant == "FALSE") {
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+ down_punc_model = down_punc_path + "/model.onnx";
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+ }
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+
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+ if (access(down_punc_model.c_str(), F_OK) != 0) {
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+ LOG(ERROR) << down_punc_model << " do not exists.";
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+ exit(-1);
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+ } else {
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+ model_path[PUNC_DIR] = down_punc_path;
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+ LOG(INFO) << "Set " << PUNC_DIR << " : " << model_path[PUNC_DIR];
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+ }
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+ } else {
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+ LOG(INFO) << "PUNC model is not set, use default.";
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+ }
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+
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+ } catch (std::exception const& e) {
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+ LOG(ERROR) << "Error: " << e.what();
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+ }
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+
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+ std::string s_listen_ip = listen_ip.getValue();
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+ 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;
|
|
|
+}
|