ML implemented
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@@ -0,0 +1,55 @@
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using System.Diagnostics;
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namespace Application.Endpoints.SicknessPrediction;
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public class PythonScriptRunner
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{
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public async Task<BaseResponse> RunPythonScript(string scriptPath, string args)
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{
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var response = new BaseResponse();
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using (Process process = new Process())
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{
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process.StartInfo = new ProcessStartInfo("python", $"\"{scriptPath}\" \"{args}\"")
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{
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RedirectStandardOutput = true,
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RedirectStandardError = true, // Redirect standard error to capture any errors.
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UseShellExecute = false,
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CreateNoWindow = true,
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};
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try
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{
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process.Start();
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// Read output and error streams.
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var output = await process.StandardOutput.ReadToEndAsync();
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var error = await process.StandardError.ReadToEndAsync();
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process.WaitForExit();
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if (process.ExitCode == 0) // Assuming exit code 0 as a success.
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{
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Console.WriteLine(output);
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response.StatusCode = HttpStatusCodes.OK;
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response.Message = "Success";
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response.Data = output;
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}
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else
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{
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Console.WriteLine(error);
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response.StatusCode = HttpStatusCodes.InternalServerError;
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response.Message = error; // Using the error output as the message if not successful.
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response.Data = null;
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}
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}
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catch (Exception ex)
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{
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response.StatusCode = HttpStatusCodes.InternalServerError;
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response.Message = $"An error occurred while executing the Python script: {ex.Message}";
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response.Data = null;
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}
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return response;
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}
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}
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}
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