From 3ea800e4ec35f34ebfd64cf33e5011225fac62b7 Mon Sep 17 00:00:00 2001 From: Stefan Verhoeven Date: Wed, 22 Nov 2023 16:31:47 +0100 Subject: [PATCH] Started on refactor to switch from python to cli --- .../sygma/PredictMetabolitesModel.java | 26 +++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/plugin/src/java/nl/esciencecenter/e3dchem/sygma/PredictMetabolitesModel.java b/plugin/src/java/nl/esciencecenter/e3dchem/sygma/PredictMetabolitesModel.java index f0e854c..f224e14 100644 --- a/plugin/src/java/nl/esciencecenter/e3dchem/sygma/PredictMetabolitesModel.java +++ b/plugin/src/java/nl/esciencecenter/e3dchem/sygma/PredictMetabolitesModel.java @@ -1,7 +1,10 @@ package nl.esciencecenter.e3dchem.sygma; +import java.io.BufferedReader; import java.io.IOException; +import java.io.InputStreamReader; import java.util.ArrayList; +import java.util.Arrays; import java.util.List; import org.knime.chem.types.SmilesCell; @@ -54,6 +57,29 @@ protected DataTableSpec[] configure(DataTableSpec[] inSpecs) throws InvalidSetti return super.configure(inSpecs); } + public List generateForSingleParent(String parent) { + PredictMetabolitesConfig config = getConfig(); + // TODO add path to sygma cli to config + String cliPath = "sygma"; + + ProcessBuilder processBuilder = new ProcessBuilder(cliPath, + cliPath, + "--phase1_cycles", Integer.toString(config.getPhase1cycles().getIntValue()), + "--phase2_cycles", Integer.toString(config.getPhase2cycles().getIntValue()), + parent + ); + Process process = processBuilder.start(); + BufferedReader reader = new BufferedReader(new InputStreamReader(process.getInputStream())); + StringBuilder output = new StringBuilder(); + int read; + char[] buffer = new char[4096]; + while ((read = reader.read(buffer)) != -1) { + output.append(buffer, 0, read); + } + List records = Arrays.asList(output.toString().split("\\$\\$\\$\\$")); + return records; + } + @Override public BufferedDataTable[] execute(BufferedDataTable[] inData, ExecutionContext exec) throws Exception { // When copying inData to output table using a Python pandas dataframe