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vertex_ai_server.h
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vertex_ai_server.h
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// Copyright 2021-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of NVIDIA CORPORATION nor the names of its
// contributors may be used to endorse or promote products derived
// from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#pragma once
#include "http_server.h"
namespace triton { namespace server {
// Handle Vertex HTTP requests to inference server APIs
class VertexAiAPIServer : public HTTPAPIServer {
public:
static TRITONSERVER_Error* Create(
const std::shared_ptr<TRITONSERVER_Server>& server,
triton::server::TraceManager* trace_manager,
const std::shared_ptr<SharedMemoryManager>& smb_manager,
const int32_t port, const std::string address, const int thread_cnt,
std::string default_model_name,
std::unique_ptr<HTTPServer>* vertex_ai_server);
private:
explicit VertexAiAPIServer(
const std::shared_ptr<TRITONSERVER_Server>& server,
triton::server::TraceManager* trace_manager,
const std::shared_ptr<SharedMemoryManager>& shm_manager,
const int32_t port, const std::string address, const int thread_cnt,
const std::string& prediction_route, const std::string& health_route,
const std::string& default_model_name);
void Handle(evhtp_request_t* req) override;
void HandleMetrics(evhtp_request_t* req);
TRITONSERVER_Error* GetInferenceHeaderLength(
evhtp_request_t* req, int32_t content_length,
size_t* header_length) override;
// Currently the compression schema hasn't been defined,
// assume identity compression type is used for both request and response
DataCompressor::Type GetRequestCompressionType(evhtp_request_t* req) override
{
return DataCompressor::Type::IDENTITY;
}
DataCompressor::Type GetResponseCompressionType(evhtp_request_t* req) override
{
return DataCompressor::Type::IDENTITY;
}
re2::RE2 prediction_regex_;
re2::RE2 health_regex_;
const std::string health_mode_;
// For default model, assume that only one version of "model" is presented
const std::string model_name_;
const std::string model_version_str_;
static const std::string binary_mime_type_;
static const std::string redirect_header_;
};
}} // namespace triton::server