simple_grpc_health_metadata.cc

// Copyright (c) 2020-2021, NVIDIA CORPORATION. All rights reserved.
//
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//  * Redistributions in binary form must reproduce the above copyright
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#include <unistd.h>
#include <iostream>
#include <string>
#include "grpc_client.h"

namespace tc = triton::client;

#define FAIL_IF_ERR(X, MSG)                                        \
  {                                                                \
    tc::Error err = (X);                                          \
    if (!err.IsOk()) {                                             \
      std::cerr << "error: " << (MSG) << ": " << err << std::endl; \
      exit(1);                                                     \
    }                                                              \
  }

namespace {

void
Usage(char** argv, const std::string& msg = std::string())
{
  if (!msg.empty()) {
    std::cerr << "error: " << msg << std::endl;
  }

  std::cerr << "Usage: " << argv[0] << " [options]" << std::endl;
  std::cerr << "\t-v" << std::endl;
  std::cerr << "\t-u <URL for inference service>" << std::endl;
  std::cerr << "\t-H <HTTP header>" << std::endl;
  std::cerr << std::endl;
  std::cerr
      << "For -H, header must be 'Header:Value'. May be given multiple times."
      << std::endl;

  exit(1);
}

}  // namespace

int
main(int argc, char** argv)
{
  bool verbose = false;
  std::string url("localhost:8001");
  tc::Headers http_headers;

  // Parse commandline...
  int opt;
  while ((opt = getopt(argc, argv, "vu:H:")) != -1) {
    switch (opt) {
      case 'v':
        verbose = true;
        break;
      case 'u':
        url = optarg;
        break;
      case 'H': {
        std::string arg = optarg;
        std::string header = arg.substr(0, arg.find(":"));
        http_headers[header] = arg.substr(header.size() + 1);
        break;
      }
      case '?':
        Usage(argv);
        break;
    }
  }

  // We use a simple model that takes 2 input tensors of 16 integers
  // each and returns 2 output tensors of 16 integers each. One output
  // tensor is the element-wise sum of the inputs and one output is
  // the element-wise difference.
  std::string model_name = "simple";
  std::string model_version = "";

  // Create a InferenceServerGrpcClient instance to communicate with the
  // server using gRPC protocol.
  std::unique_ptr<tc::InferenceServerGrpcClient> client;
  FAIL_IF_ERR(
      tc::InferenceServerGrpcClient::Create(&client, url, verbose),
      "unable to create grpc client");

  bool live;
  FAIL_IF_ERR(
      client->IsServerLive(&live, http_headers),
      "unable to get server liveness");
  if (!live) {
    std::cerr << "error: server is not live" << std::endl;
    exit(1);
  }

  bool ready;
  FAIL_IF_ERR(
      client->IsServerReady(&ready, http_headers),
      "unable to get server readiness");
  if (!ready) {
    std::cerr << "error: server is not live" << std::endl;
    exit(1);
  }

  bool model_ready;
  FAIL_IF_ERR(
      client->IsModelReady(
          &model_ready, model_name, model_version, http_headers),
      "unable to get model readiness");
  if (!model_ready) {
    std::cerr << "error: model " << model_name << " is not live" << std::endl;
    exit(1);
  }

  inference::ServerMetadataResponse server_metadata;
  FAIL_IF_ERR(
      client->ServerMetadata(&server_metadata, http_headers),
      "unable to get server metadata");
  if (server_metadata.name().compare("triton") != 0) {
    std::cerr << "error: unexpected server metadata: "
              << server_metadata.DebugString() << std::endl;
    exit(1);
  }

  inference::ModelMetadataResponse model_metadata;
  FAIL_IF_ERR(
      client->ModelMetadata(
          &model_metadata, model_name, model_version, http_headers),
      "unable to get model metadata");
  if (model_metadata.name().compare(model_name) != 0) {
    std::cerr << "error: unexpected model metadata: "
              << model_metadata.DebugString() << std::endl;
    exit(1);
  }

  inference::ModelConfigResponse model_config;
  FAIL_IF_ERR(
      client->ModelConfig(
          &model_config, model_name, model_version, http_headers),
      "unable to get model config");
  if (model_config.config().name().compare(model_name) != 0) {
    std::cerr << "error: unexpected model config: "
              << model_config.DebugString() << std::endl;
    exit(1);
  }

  tc::Error err = client->ModelMetadata(
      &model_metadata, "wrong_model_name", model_version, http_headers);
  if (err.IsOk()) {
    std::cerr << "error: expected an error but got: " << err << std::endl;
    exit(1);
  }

  std::cout << err << std::endl;

  return 0;
}