66 lines
2.1 KiB
C++
66 lines
2.1 KiB
C++
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// 文件名: src/web/web_server.cc
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#include "web_server.h"
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#include "spdlog/spdlog.h"
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WebServer::WebServer(SystemMonitor::SystemMonitor& monitor, uint16_t port)
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: m_monitor(monitor), m_port(port)
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{
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// Crow默认会输出很多调试信息，我们可以将其日志级别调高，
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// 以便只显示警告和错误，让我们的终端更干净。
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m_app.loglevel(crow::LogLevel::Warning);
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// 调用函数来设置所有的API路由
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setup_routes();
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}
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WebServer::~WebServer() {
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stop();
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}
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void WebServer::start() {
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if (m_thread.joinable()) {
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spdlog::warn("Web server is already running.");
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return;
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}
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// Crow的 run() 方法是一个阻塞操作，它会一直运行直到被停止。
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// 因此，我们必须在一个独立的线程中启动它，否则它会卡住我们的主程序。
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m_thread = std::thread([this]() {
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spdlog::info("Starting Web server on port {}", m_port);
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m_app.port(m_port).run();
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spdlog::info("Web server has stopped.");
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});
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}
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void WebServer::stop() {
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m_app.stop();
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if (m_thread.joinable()) {
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m_thread.join();
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}
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}
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void WebServer::setup_routes() {
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// ----------------------------------------------------------------
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// 定义第一个API路由: GET /api/system/status
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// ----------------------------------------------------------------
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CROW_ROUTE(m_app, "/api/system/status")
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([this] {
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auto cpu_util = m_monitor.getCpuUtilization();
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auto mem_info = m_monitor.getMemoryInfo();
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crow::json::wvalue response;
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response["cpu_usage_percentage"] = cpu_util.totalUsagePercentage;
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response["memory_total_kb"] = mem_info.total_kb;
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response["memory_free_kb"] = mem_info.available_kb;
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response["memory_usage_percentage"] = (mem_info.total_kb > 0)
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? (1.0 - static_cast<double>(mem_info.available_kb) / mem_info.total_kb) * 100.0
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: 0.0;
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return response;
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});
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// 未来在这里添加更多的路由，例如:
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// CROW_ROUTE(m_app, "/api/devices")([this]{ ... });
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}
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