From 6856b00c7c23374ba71839e46a15672f476e0042 Mon Sep 17 00:00:00 2001 From: silvtal Date: Tue, 5 Sep 2023 17:41:55 +0200 Subject: [PATCH 01/51] typo at addCOBRAVariables.m --- src/reconstruction/refinement/addCOBRAConstraints.m | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/reconstruction/refinement/addCOBRAConstraints.m b/src/reconstruction/refinement/addCOBRAConstraints.m index b5587149b6..5ac09e8579 100644 --- a/src/reconstruction/refinement/addCOBRAConstraints.m +++ b/src/reconstruction/refinement/addCOBRAConstraints.m @@ -147,12 +147,12 @@ if any(fieldsPresent) for i = 1:numel(ConstraintFields) if ~isfield(model,ConstraintFields{i}) - model = createEmptyField(model,ConstraintFields{i}); + model = createEmptyFields(model,ConstraintFields{i}); else if ~isempty(model.(ConstraintFields{i})) error('Inconsistent Field sizes detected. Expected an empty field but %s was non empty',ConstraintFields{i}) else - model = createEmptyField(model,ConstraintFields{i}); %Replace the existing to make sure the dimensions are correct. + model = createEmptyFields(model,ConstraintFields{i}); %Replace the existing to make sure the dimensions are correct. end end end @@ -276,4 +276,4 @@ name{constraintsCreated} = cname; end end -end \ No newline at end of file +end From 182c2afce81a9dd4ebbb23fb12ca4e31e250200b Mon Sep 17 00:00:00 2001 From: silvtal Date: Tue, 5 Sep 2023 18:09:36 +0200 Subject: [PATCH 02/51] MMT bug: createMultipleSpeciesModel.m ignored the biomasses argument from joinModelsPairwiseFromList.m --- .../SteadyCom/subroutines/SteadyComSubroutines.m | 2 +- .../createMultipleSpeciesModel.m | 9 +++++---- .../joinModelsPairwiseFromList.m | 6 +++++- 3 files changed, 11 insertions(+), 6 deletions(-) diff --git a/src/analysis/multiSpecies/SteadyCom/subroutines/SteadyComSubroutines.m b/src/analysis/multiSpecies/SteadyCom/subroutines/SteadyComSubroutines.m index 9f19bb2c6c..b71ae5f554 100644 --- a/src/analysis/multiSpecies/SteadyCom/subroutines/SteadyComSubroutines.m +++ b/src/analysis/multiSpecies/SteadyCom/subroutines/SteadyComSubroutines.m @@ -234,7 +234,7 @@ spName = spAbbr; end if isfield(infoCom, 'spBm') - indCom.spBm = modelCom.rxns(infoCom.spBm); + indCom.spBm = modelCom.rxns(infoCom.spBm); %modelCom.infoCom.spBm end if isfield(infoCom,'spATPM') indCom.spATPM = modelCom.rxns(infoCom.spATPM); diff --git a/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/createMultipleSpeciesModel.m b/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/createMultipleSpeciesModel.m index 9679dc4171..3bc61ca98f 100644 --- a/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/createMultipleSpeciesModel.m +++ b/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/createMultipleSpeciesModel.m @@ -1,4 +1,4 @@ -function [modelJoint] = createMultipleSpeciesModel(models, varargin) +function [modelJoint] = createMultipleSpeciesModel(models, biomasses, varargin) % Based on the implementation from *Klitgord and Segre 2010, PMID 21124952*. % The present implementation has been used in *PMID 23022739*, *PMID 25841013*, % *PMID 25901891*, *PMID 27893703*. @@ -24,6 +24,9 @@ % % * models{1,1} = model 1 % * models{2,1} = model 2... +% biomasses: Cell array containing names of biomass objective +% functions of models to join. Needs to be the same +% length as models. % % OPTIONAL INPUTS: % nameTagsModels: cell array of tags for reaction/metabolite abbreviation @@ -144,7 +147,6 @@ modelHost.mets(metIndices) = strrep(modelHost.mets(metIndices), '[e0]', '[e]'); end %% Remove futile cycles that may appear after joining (optional) - if remCyclesFlag database = loadVMHDatabase; @@ -156,8 +158,7 @@ unionRxns=unique(unionRxns); for i = 1:modelNumber model=models{i, 1}; - biomassReaction=model.rxns(find(strncmp(model.rxns, 'bio', 3))); - model = removeFutileCycles(model, biomassReaction, database,unionRxns); + model = removeFutileCycles(model, biomasses{i}, database,unionRxns); models{i, 1} = model; end end diff --git a/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/joinModelsPairwiseFromList.m b/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/joinModelsPairwiseFromList.m index 2d733cbed2..c1c309053b 100755 --- a/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/joinModelsPairwiseFromList.m +++ b/src/analysis/multiSpecies/microbiomeModelingToolbox/pairwiseInteractionModeling/joinModelsPairwiseFromList.m @@ -185,12 +185,16 @@ function joinModelsPairwiseFromList(modelList, modelFolder, varargin) model1 model2 }; + modelBiomasses = { + biomasses{i} + biomasses{k} + }; nameTagsModels = { strcat(modelList{i}, '_') strcat(modelList{k}, '_') }; if isempty(find(contains(existingModels,['pairedModel', '_', modelList{i}, '_', modelList{k}, '.mat']))) - [pairedModel] = createMultipleSpeciesModel(models, 'nameTagsModels', nameTagsModels,'mergeGenesFlag', mergeGenesFlag, 'remCyclesFlag', remCyclesFlag); + [pairedModel] = createMultipleSpeciesModel(models, modelBiomasses, 'nameTagsModels', nameTagsModels,'mergeGenesFlag', mergeGenesFlag, 'remCyclesFlag', remCyclesFlag); [pairedModel] = coupleRxnList2Rxn(pairedModel, pairedModel.rxns(strmatch(nameTagsModels{1, 1}, pairedModel.rxns)), strcat(nameTagsModels{1, 1}, biomasses{i}), c, u); [pairedModel] = coupleRxnList2Rxn(pairedModel, pairedModel.rxns(strmatch(nameTagsModels{2, 1}, pairedModel.rxns)), strcat(nameTagsModels{2, 1}, biomasses{k}), c, u); pairedModelsTemp{k} = pairedModel; From c881bd73eefdee11ea00cfe37c11b4aed90e3724 Mon Sep 17 00:00:00 2001 From: rosieluo2021 Date: Thu, 21 Sep 2023 05:04:42 +0100 Subject: [PATCH 03/51] Fixing bug for xomicsTomodelm --- .../XomicsToModel/XomicsToModel.m | 41 +++++++++++-------- 1 file changed, 23 insertions(+), 18 deletions(-) diff --git a/src/dataIntegration/XomicsToModel/XomicsToModel.m b/src/dataIntegration/XomicsToModel/XomicsToModel.m index c444813da3..cef22c4229 100644 --- a/src/dataIntegration/XomicsToModel/XomicsToModel.m +++ b/src/dataIntegration/XomicsToModel/XomicsToModel.m @@ -1525,27 +1525,32 @@ end % Check if the inactive genes are present in omics data - if any(ismember(specificData.inactiveGenes, activeEntrezGeneID)) && param.curationOverOmics - %manual curation takes precedence over omics - genesIgnoredBool = ismember(activeEntrezGeneID, specificData.inactiveGenes); - if param.printLevel > 0 - disp([num2str(sum(genesIgnoredBool)), ... - ' active genes from the omics data have been manually assigned as inactive genes and will be discarded from the omics data:']) - disp(activeEntrezGeneID(genesIgnoredBool)) - %https://blogs.mathworks.com/community/2007/07/09/printing-hyperlinks-to-the-command-window/ - %disp('This is a link to Google.') - end - specificData.inactiveGenes(ismember(specificData.inactiveGenes, activeEntrezGeneID)) = []; - elseif any(ismember(specificData.inactiveGenes, activeEntrezGeneID)) && ~param.curationOverOmics - %omics takes precedence over manual curation - genesIgnoredBool = ismember(specificData.inactiveGenes, activeEntrezGeneID); + if any(activeEntrezGeneID) + if any(ismember(specificData.inactiveGenes, activeEntrezGeneID)) && param.curationOverOmics + %manual curation takes precedence over omics + genesIgnoredBool = ismember(activeEntrezGeneID, specificData.inactiveGenes); + if param.printLevel > 0 + disp([num2str(sum(genesIgnoredBool)), ... + ' active genes from the omics data have been manually assigned as inactive genes and will be discarded from the omics data:']) + disp(activeEntrezGeneID(genesIgnoredBool)) + %https://blogs.mathworks.com/community/2007/07/09/printing-hyperlinks-to-the-command-window/ + %disp('This is a link to Google.') + end + specificData.inactiveGenes(ismember(specificData.inactiveGenes, activeEntrezGeneID)) = []; + elseif any(ismember(specificData.inactiveGenes, activeEntrezGeneID)) && ~param.curationOverOmics + %omics takes precedence over manual curation + genesIgnoredBool = ismember(specificData.inactiveGenes, activeEntrezGeneID); + if param.printLevel > 0 + disp([num2str(sum(genesIgnoredBool)), ' manually selected inactive genes have been marked as active by omics data and will be discarded:']) + disp(specificData.inactiveGenes(genesIgnoredBool)) + end + activeEntrezGeneID(ismember(activeEntrezGeneID, specificData.inactiveGenes)) = []; + end + else if param.printLevel > 0 - disp([num2str(sum(genesIgnoredBool)), ' manually selected inactive genes have been marked as active by omics data and will be discarded:']) - disp(specificData.inactiveGenes(genesIgnoredBool)) + disp('no manually selected active genes and omics data') end - activeEntrezGeneID(ismember(activeEntrezGeneID, specificData.inactiveGenes)) = []; end - % Check if the inactive genes are present in the model inactiveGeneBool = ismember(model.genes, specificData.inactiveGenes); if ~any(inactiveGeneBool) From 0b1316afe0116e867eb5ca563cef6aa5171bcbb2 Mon Sep 17 00:00:00 2001 From: rosieluo2021 Date: Thu, 21 Sep 2023 07:58:08 +0100 Subject: [PATCH 04/51] fixing bug --- src/dataIntegration/XomicsToModel/XomicsToModel.m | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/dataIntegration/XomicsToModel/XomicsToModel.m b/src/dataIntegration/XomicsToModel/XomicsToModel.m index cef22c4229..3a1ba045ae 100644 --- a/src/dataIntegration/XomicsToModel/XomicsToModel.m +++ b/src/dataIntegration/XomicsToModel/XomicsToModel.m @@ -1525,7 +1525,7 @@ end % Check if the inactive genes are present in omics data - if any(activeEntrezGeneID) + if ~isempty(activeEntrezGeneID) if any(ismember(specificData.inactiveGenes, activeEntrezGeneID)) && param.curationOverOmics %manual curation takes precedence over omics genesIgnoredBool = ismember(activeEntrezGeneID, specificData.inactiveGenes); From 0655842ae06796e634f57503e8d331a3a6ba4bcf Mon Sep 17 00:00:00 2001 From: Bram Nap <70942965+bramnap@users.noreply.github.com> Date: Thu, 12 Oct 2023 13:37:05 +0100 Subject: [PATCH 05/51] Fix file location path --- src/analysis/FVA/fastFVA/mex/generateMexFastFVA.m | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/analysis/FVA/fastFVA/mex/generateMexFastFVA.m b/src/analysis/FVA/fastFVA/mex/generateMexFastFVA.m index d47ae5e1c1..3b7a8b3a46 100644 --- a/src/analysis/FVA/fastFVA/mex/generateMexFastFVA.m +++ b/src/analysis/FVA/fastFVA/mex/generateMexFastFVA.m @@ -117,7 +117,7 @@ function generateMexFastFVA(rootPathCPLEX, printLevel) eval(['mex -setup c' compVerboseMode]); % define the name of the source code - filename = [CBTDIR filesep 'external' filesep 'analysis' filesep 'fastFVAmex' filesep 'cplexFVA.c']; + filename = [CBTDIR filesep 'src' filesep 'analysis' filesep 'FVA' filesep 'fastFVA' filesep 'mex' filesep 'cplexFVA.c']; % generation of MEX string with compiler options if isunix From e2174687dc3f6f0dec1a3e7a236a615a6c939e15 Mon Sep 17 00:00:00 2001 From: CodeGeasrb <132638335+CodeGeasrb@users.noreply.github.com> Date: Mon, 6 Nov 2023 14:12:29 -0600 Subject: [PATCH 06/51] Update modelExtraction.m --- src/dataIntegration/XomicsToModel/modelExtraction.m | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/src/dataIntegration/XomicsToModel/modelExtraction.m b/src/dataIntegration/XomicsToModel/modelExtraction.m index 3e546e3ac0..d932dffd6c 100644 --- a/src/dataIntegration/XomicsToModel/modelExtraction.m +++ b/src/dataIntegration/XomicsToModel/modelExtraction.m @@ -63,8 +63,11 @@ end %default weights of NaN - metWeights = NaN * ones(length(model.mets), 1); - rxnWeights = NaN * ones(length(model.rxns), 1); + % metWeights = NaN * ones(length(model.mets), 1); + % rxnWeights = NaN * ones(length(model.rxns), 1); + + metWeights = zeros(length(model.mets), 1); + rxnWeights = zeros(length(model.rxns), 1); if param.weightsFromOmics && isfield(model, 'expressionRxns') % If present set the fixed weight relative to median of the log of the gene expression value @@ -77,6 +80,9 @@ [bool, locb] = ismember(dummyGene, model.genes); activeModelGeneBool = model.geneExpVal >= exp(param.transcriptomicThreshold); defaultRxnWeight = median(log(model.geneExpVal(activeModelGeneBool))); + if isnan(defaultRxnWeight) + defaultRxnWeight = 0; + end if param.printLevel > 1 figure histogram(log(model.geneExpVal(activeModelGeneBool))) @@ -97,7 +103,6 @@ fprintf('%s\n', 'Using unitary weights on metabolites and reactions as input to thermoKernel.') defaultRxnWeicoreRxnBool = ismember(model.rxns, coreRxnAbbr);ght = 1.1; defaultMetWeight = 1.1; - defaultRxnWeight = 1.1; end % Correspondence between weights on core metabolites and reactions @@ -416,4 +421,4 @@ if param.printLevel > 0 [nMet, nRxn] = size(model.S); fprintf('%u%s%u%s\n', nMet, ' x ', nRxn, ' stoichiometric matrix after model extraction.') -end \ No newline at end of file +end From 1eed7f6c05bdd66fb7d9e6cdbc2815846e1029be Mon Sep 17 00:00:00 2001 From: Ines Thiele Date: Tue, 7 Nov 2023 10:20:16 +0000 Subject: [PATCH 07/51] recent edits --- papers | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/papers b/papers index 64f997ffb2..02c3ddff29 160000 --- a/papers +++ b/papers @@ -1 +1 @@ -Subproject commit 64f997ffb2ecac660381c6f4a401792ed7c165e0 +Subproject commit 02c3ddff29fcf251a86be624973d37a5264be21b From deea412284441832395a50ee0c1da25bd1ed89b6 Mon Sep 17 00:00:00 2001 From: annasheehy Date: Mon, 20 Nov 2023 13:37:24 +0000 Subject: [PATCH 08/51] Update individualised lab report --- .../setConstraints/individualizedLabReport.m | 184 +++++++++++------- 1 file changed, 116 insertions(+), 68 deletions(-) diff --git a/src/analysis/wholeBody/PSCMToolbox/setConstraints/individualizedLabReport.m b/src/analysis/wholeBody/PSCMToolbox/setConstraints/individualizedLabReport.m index 39510cd18a..9858742b50 100755 --- a/src/analysis/wholeBody/PSCMToolbox/setConstraints/individualizedLabReport.m +++ b/src/analysis/wholeBody/PSCMToolbox/setConstraints/individualizedLabReport.m @@ -10,7 +10,7 @@ % personalized or updated based on the input % data. This structure, with default parameters, can be obtained using the % script standardPhysiolDefaultParameters.m -% InputData InputData +% InputData InputData: specify compartment by placing [bc], [u] or [csf] after the metabolite name % optionCardiacOutput Different ways of calculatibg the cardiac % output based on physiological data have been implemented. % - Based on heart rate and stroke volume: CardiacOutput = HeartRate * StrokeVolume. (optionCardiacOutput = 1, default) @@ -96,7 +96,7 @@ Hematocrit = ismember(lower(InputData(:,1)),'hematocrit'); if ~isempty(find(Hematocrit)) He = InputData(Hematocrit,3); - IndividualParameters.Hematocrit =str2num(char(He{1}))/100 ; + IndividualParameters.Hematocrit = char(He{1})/100 ; end % Creatinine given in mg/dL in InputData and in IndividualParameters @@ -246,80 +246,128 @@ end %% apply HMDB data based on IndividualParameters modelPersonalized = model; -%modelPersonalized = physiologicalConstraintsHMDBbased(modelPersonalized,IndividualParameters); +modelPersonalized = physiologicalConstraintsHMDBbased(modelPersonalized,IndividualParameters); -%% prepare for the urine and blood concentration data -% -if 0 - %InputDataMetabolites=[Data.textdata(Start+1:end,VMH) MetConMin MetConMax]; - Type = 'direct'; - % first blood - % glucose - MW_glc= 180.16;% g�mol?1; - Glc = ismember(InputData(:,1),'Glucose'); - if ~isempty(find(Glc)) - Glc = InputData(Glc,3); - Glc =str2num(char(Glc{1})) ; - % calculate glucose in mM - GlcMin = Glc * 10 * (1/MW_glc)*1000*0.8; %in mmol/L - GlcMax = Glc * 10 * (1/MW_glc)*1000*1.2; %in mmol/L - GlcMin = cellstr(num2str(GlcMin)); - GlcMin = regexprep(GlcMin,' ',''); - for j = 1 : size(GlcMin,1) - GlcMin{j,1} = (GlcMin(j,1)); +% Obtain molecular weights using computeMW and create table of metabolite name and moleceular weight +InputDataT = array2table(InputData); +InputDataT.Properties.VariableNames = ["parameter" "unit" "MetCon"]; +mets = model.mets; +MW = computeMW(model); +AllMolecularWeights = unique(table(mets, MW)); + +%% Blood metabolites +Type = 'direct'; +counter = 0; +%Load each metabolite and MW, calculate lb and ub +ContainsBC = find(contains(InputDataT.parameter, '[bc]')); +BCmet = InputDataT.parameter(ContainsBC); +InputDataMetabolitesBC = cell(size(BCmet, 1),3); +if ~isempty(ContainsBC) + for i= 1:size(BCmet,1) + inputMet = BCmet{i}; + rowInd = find(ismember(AllMolecularWeights.mets, inputMet)); + if ~isempty(rowInd) + MW = AllMolecularWeights.MW(rowInd); + Conc = str2double(InputDataT.MetCon{i}); + + Name = inputMet; + MetConMin = Conc*10*(1/MW)*1000*0.8; + MetConMax = Conc*10*(1/MW)*1000*1.2; + InputDataMetabolitesBC(i, :) = {Name, MetConMin, MetConMax}; + clear Name MetConMin MinCon MetConMax MaxCon + else + missing{i} = inputMet; + missing = missing(~cellfun('isempty',missing)); end - GlcMax = cellstr(num2str(GlcMax)); - GlcMax = regexprep(GlcMax,' ',''); - for j = 1 : size(GlcMax,1) - GlcMax{j,1} = (GlcMax(j,1)); + counter = counter + 1; + fprintf('Calculated blood metabolite concentration #%d\n', counter); + + if isempty(rowInd) + disp 'Metabolite not found: please check spelling or naming of metabolite in input data' end - InputDataMetabolitesBC(1,:) = ['glc_D' GlcMin GlcMax]; end - % Cholesterol - MW_chsterol = 386.65;% g/mol; - Chsterol = ismember(InputData(:,1),'Cholesterol'); - if ~isempty(find(Chsterol)) - Chsterol = InputData(Chsterol,3); - Chsterol =str2num(char(Chsterol{1})) ; - % calculate Chsterol in mM - ChsterolMin = Chsterol * 10 * (1/MW_chsterol)*1000*0.8; %in mmol/L - ChsterolMax = Chsterol * 10 * (1/MW_chsterol)*1000*1.2; %in mmol/L - ChsterolMin = cellstr(num2str(ChsterolMin)); - ChsterolMin = regexprep(ChsterolMin,' ',''); - for j = 1 : size(ChsterolMin,1) - ChsterolMin{j,1} = (ChsterolMin(j,1)); + + for j = 1:size(BCmet(:)) + InputDataMetabolitesBC{j, 1}=strrep(InputDataMetabolitesBC{j, 1},'[bc]',''); + end + + if exist('InputDataMetabolitesBC','var') + modelPersonalized = physiologicalConstraintsHMDBbased(modelPersonalized,IndividualParameters, '',Type, InputDataMetabolitesBC, 'bc'); + end +end + %% Urine Metabolites +ContainsU = find(contains(InputDataT.parameter, '[u]')); +Umet = InputDataT.parameter(ContainsU); +InputDataMetabolitesU = cell(size(Umet, 1),3); +if ~isempty(ContainsU) + for i= 1:size(Umet,1) + inputMet = Umet{i}; + rowInd = find(ismember(AllMolecularWeights.mets, inputMet)); + if ~isempty(rowInd) + MW = AllMolecularWeights.MW(rowInd); + Conc = str2double(InputDataT.MetCon{i}); + + Name = inputMet; + MetConMin = Conc*10*(1/MW)*1000*0.8; + MetConMax = Conc*10*(1/MW)*1000*1.2; + InputDataMetabolitesU(i, :) = {Name, MetConMin, MetConMax}; + clear Name MetConMin MinCon MetConMax MaxCon + else + missing{i} = inputMet; + missing = missing(~cellfun('isempty',missing)); end - ChsterolMax = cellstr(num2str(ChsterolMax)); - ChsterolMax = regexprep(ChsterolMax,' ',''); - for j = 1 : size(ChsterolMax,1) - ChsterolMax{j,1} = (ChsterolMax(j,1)); + counter = counter + 1; + fprintf('Calculated urine metabolite concentration #%d\n', counter); + + if isempty(rowInd) + disp 'Metabolite not found: please check spelling or naming of metabolite in input data' end - InputDataMetabolitesBC(2,:) = ['chsterol' ChsterolMin ChsterolMax]; end - modelPersonalized = physiologicalConstraintsHMDBbased(modelPersonalized,IndividualParameters, Type, InputDataMetabolitesBC, 'bc'); - %urea given in mg/dl in input data - % Cholesterol - MW_urea = 60.06;% g/mol; - MW_creatinine = 113.1179;%g/mol - Urea = ismember(InputData(:,1),'Urea'); - if ~isempty(find(Urea)) - Urea = InputData(Urea,3); - Urea =str2num(char(Urea{1})) ; - % calculate Urea in mM - UreaMin = Urea * 10 * (1/MW_urea)*1000*0.8/(IndividualParameters.MConUrCreatinineMax * 10 * (1/MW_creatinine)); %in umol urea/mmol creatine - UreaMax = Urea * 10 * (1/MW_urea)*1000*1.2/(IndividualParameters.MConUrCreatinineMax * 10 * (1/MW_creatinine)); %in umol urea/mmol creatine - UreaMin = cellstr(num2str(UreaMin)); - UreaMin = regexprep(UreaMin,' ',''); - for j = 1 : size(UreaMin,1) - UreaMin{j,1} = (UreaMin(j,1)); + + for j = 1:size(Umet(:)) + InputDataMetabolitesU{j, 1}=strrep(InputDataMetabolitesU{j, 1},'[u]',''); + end + + if exist('InputDataMetabolitesU','var') + modelPersonalized = physiologicalConstraintsHMDBbased(modelPersonalized,IndividualParameters, '',Type, InputDataMetabolitesU, 'u'); + end +end + %% CSF metabolites +ContainsCSF = find(contains(InputDataT.parameter, '[csf]')); +CSFmet = InputDataT.parameter(ContainsCSF); +InputDataMetabolitesCSF = cell(size(CSFmet, 1),3); +if ~isempty(ContainsCSF) + for i= 1:size(CSFmet,1) + inputMet = CSFmet{i}; + rowInd = find(ismember(AllMolecularWeights.mets, inputMet)); + if ~isempty(rowInd) + MW = AllMolecularWeights.MW(rowInd); + Conc = str2double(InputDataT.MetCon{i}); + + Name = inputMet; + MetConMin = Conc*10*(1/MW)*1000*0.8; + MetConMax = Conc*10*(1/MW)*1000*1.2; + InputDataMetabolitesCSF(i, :) = {Name, MetConMin, MetConMax}; + clear Name MetConMin MinCon MetConMax MaxCon + else + missing{i} = inputMet; + missing = missing(~cellfun('isempty',missing)); end - UreaMax = cellstr(num2str(UreaMax)); - UreaMax = regexprep(UreaMax,' ',''); - for j = 1 : size(UreaMax,1) - UreaMax{j,1} = (UreaMax(j,1)); + counter = counter + 1; + fprintf('Calculated Cerebrospinal fluid metabolite concentration #%d\n', counter); + + if isempty(rowInd) + disp 'Metabolite not found: please check spelling or naming of metabolite in input data' end - InputDataMetabolitesU(2,:) = ['urea' UreaMin UreaMax]; end - modelPersonalized = physiologicalConstraintsHMDBbased(modelPersonalized,IndividualParameters, Type, InputDataMetabolitesU, 'u'); + + for j = 1:size(CSFmet(:)) + InputDataMetabolitesCSF{j, 1}=strrep(InputDataMetabolitesCSF{j, 1},'[csf]',''); + end + + if exist('InputDataMetabolitesCSF','var') + modelPersonalized = physiologicalConstraintsHMDBbased(modelPersonalized,IndividualParameters, '',Type, InputDataMetabolitesCSF, 'csf'); + end end -IndividualParametersNew =IndividualParameters; \ No newline at end of file + IndividualParametersNew = IndividualParameters; +end \ No newline at end of file From 238c584de82091c7f36432bbfa88b9553235ccea Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Mon, 20 Nov 2023 17:36:40 +0000 Subject: [PATCH 09/51] Update createNewMetaboliteStructure.m --- .../createNewMetaboliteStructure.m | 47 ++++++++++--------- 1 file changed, 25 insertions(+), 22 deletions(-) diff --git a/src/dataIntegration/metaboAnnotator/buildMetStruct/createNewMetaboliteStructure.m b/src/dataIntegration/metaboAnnotator/buildMetStruct/createNewMetaboliteStructure.m index 2d7fc38427..d5190d7d62 100644 --- a/src/dataIntegration/metaboAnnotator/buildMetStruct/createNewMetaboliteStructure.m +++ b/src/dataIntegration/metaboAnnotator/buildMetStruct/createNewMetaboliteStructure.m @@ -3,22 +3,30 @@ % no VMHId is provided in the header of the input, then VMHId are % generated. % -% INPUT -% Input Cell array containing the metabolites -% The information provided must be as follows: -% metList={ -% 'VMH ID' 'metabolite_name' 'HMDB' 'inchistring' 'neutral_formula' 'charged_formula' 'charge' -% 'cot' 'Cotinine' 'HMDB0001046' '' '' '' '' -% 'coto' 'Cotinine n-oxide' 'HMDB0001411' '' '' '' '' -% source source of the information contained in metArray -% (e.g., 'Manually assembled by IT') -% metabolite_structure_rBioNet (optional and only necessary if the -% input has no VMHId) +% USAGE: % -% OUTPUT -% metabolite_structure metabolite structure +% [metabolite_structure] = createNewMetaboliteStructure(input,source,metabolite_structure_rBioNet,metab,rxnDB) +% +% INPUT: +% Input: Cell array containing the metabolites +% The information provided must be as follows: +% metList={ +% 'VMH ID' 'metabolite_name' 'HMDB' 'inchistring' 'neutral_formula' 'charged_formula' 'charge' +% 'cot' 'Cotinine' 'HMDB0001046' '' '' '' '' +% 'coto' 'Cotinine n-oxide' 'HMDB0001411' '' '' '' '' +% source: source of the information contained in metArray +% (e.g., 'Manually assembled by IT') +% metabolite_structure_rBioNet: (optional and only necessary if the +% input has no VMHId) +% metab: +% rxnDB: % -% Ines Thiele, 09/2021 +% OUTPUT: +% metabolite_structure: metabolite structure +% +%.. Author: +% -Ines Thiele, 09/2021 +% -Farid Zare 20/11/2023 Documentation is enhanced. One line is added to generate a MATLAB valid variable name %load rbionet data rBioNetPath = fileparts(which('tutorial_MetaboAnnotator')); @@ -83,16 +91,11 @@ %make a temporary VMHId name in case the existing one is an invalid field name VMHId_suggestion = VMHId; - if isvarname(strcat('VMHId_', VMHId)) - fieldname = strcat('VMH_',VMHId); - else - - VMHId_suggestion = VMHId; - %VMHId = datestr(now,'yyyymmddTHHMMSS'); - - fieldname = strcat('VMH_',VMHId); + if ~isvarname(strcat('VMHId_', VMHId)) + VMHId = matlab.lang.makeValidName(strcat('VMHId_', VMHId)); end + fieldname = strcat('VMH_',VMHId); metabolite_structure.(fieldname) = struct(); metabolite_structure.(fieldname).VMHId_suggestion = VMHId_suggestion; From 527e73ad1d7220279243a7315a75734bb322ed99 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Mon, 20 Nov 2023 19:17:51 +0000 Subject: [PATCH 10/51] Update testFluxShifts.m --- test/verifiedTests/analysis/testFluxShifts/testFluxShifts.m | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/test/verifiedTests/analysis/testFluxShifts/testFluxShifts.m b/test/verifiedTests/analysis/testFluxShifts/testFluxShifts.m index 6f6f1cd33d..51edff8090 100644 --- a/test/verifiedTests/analysis/testFluxShifts/testFluxShifts.m +++ b/test/verifiedTests/analysis/testFluxShifts/testFluxShifts.m @@ -8,6 +8,7 @@ % Authors: % - Kristina Grausa 05/16/2022 - created % - Kristina Grausa 08/22/2022 - standard header and formatting +% - Farid Zare 11/20/2023 - Repository address corrected % global CBTDIR @@ -39,7 +40,7 @@ fprintf(' -- Running testFluxShifts.m using the solver interface: %s ... ', solvers.LP{k}); - assert(numel(dir('resultsPostOptimization\fluxShifts\')) > 2) + assert(numel(dir('resultsPostOptimization/fluxShifts/')) > 2) % output a success message fprintf('Done.\n'); From 4d3bace7610b156b9765ffac88f7fd23fcf9112e Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Mon, 20 Nov 2023 19:24:04 +0000 Subject: [PATCH 11/51] Update calculateFluxShifts.m --- .../calculateFluxShifts/calculateFluxShifts.m | 59 ++++++++++--------- 1 file changed, 30 insertions(+), 29 deletions(-) diff --git a/src/analysis/calculateFluxShifts/calculateFluxShifts.m b/src/analysis/calculateFluxShifts/calculateFluxShifts.m index d1506258f4..ba3e0bfe0b 100644 --- a/src/analysis/calculateFluxShifts/calculateFluxShifts.m +++ b/src/analysis/calculateFluxShifts/calculateFluxShifts.m @@ -1,6 +1,6 @@ function calculateFluxShifts(source, target) % Compares reaction flux values (min, max) between two models or more models -% in resultsPostOptimization\contextSpecificModels folder and writes the +% in resultsPostOptimization/contextSpecificModels folder and writes the % comparison results ('up', 'down', 1) in a new column in the target model % % USAGE: @@ -16,22 +16,23 @@ function calculateFluxShifts(source, target) % .. Authors: % - Kristina Grausa 05/16/2022 % - Kristina Grausa 08/23/2022 - standard header and formatting +% - Farid Zare 20/11/2023 - Repository addresses are corrected, standard variable names % Get target model/-s destTarget = {}; if string(target) == "All" - destTarget = string(strcat('resultsPostOptimization\contextSpecificModels\*.xls')); + destTarget = string(strcat('resultsPostOptimization/contextSpecificModels/*.xls')); else - destTarget = string(strcat('resultsPostOptimization\contextSpecificModels\*',char(target),'*.xls')); + destTarget = string(strcat('resultsPostOptimization/contextSpecificModels/*',char(target),'*.xls')); end - T = dir(destTarget); + xlsFilesInfo = dir(destTarget); % Source model - destSource = string(strcat('resultsPostOptimization\contextSpecificModels\*',char(source),'*.xls')); + destSource = string(strcat('resultsPostOptimization/contextSpecificModels/*',char(source),'*.xls')); S = dir(destSource); sheetName = 'Reaction List'; - filename = strcat(S.folder, '\', S.name); - dataSource=readtable(filename,'Sheet',sheetName); + filename = strcat(S.folder, '/', S.name); + dataSource = readtable(filename,'Sheet',sheetName); % Get minFlux and MaxFlux columns from source model minFluxSource = dataSource.MinFlux; @@ -47,59 +48,59 @@ function calculateFluxShifts(source, target) end % Get min and max flux data from target model file - for i=1:1:length(T) - if ~contains(T(i).name,char(source)) + for i=1:length(xlsFilesInfo) - filename = strcat(T(i).folder, '\', T(i).name); + if ~contains(xlsFilesInfo(i).name,char(source)) + filename = strcat(xlsFilesInfo(i).folder, '/', xlsFilesInfo(i).name); data=readtable(filename,'Sheet',sheetName); try % Get minFlux and MaxFlux columns from target model file - minFlux = data.MinFlux; - maxFlux = data.MaxFlux; + minFluxTarget = data.MinFlux; + maxFluxTarget = data.MaxFlux; % Create and fill cell arrays (min, max) with rounded flux % values from target model - minFlux_r = cell(height(minFlux),1); - maxFlux_r = cell(height(maxFlux),1); + minFluxTarget_r = cell(height(minFluxTarget),1); + maxFluxTarget_r = cell(height(maxFluxTarget),1); for k=1:1:height(data) - minFlux_r{k} = round(str2double(minFlux{k}),6); - maxFlux_r{k} = round(str2double(maxFlux{k}),6); + minFluxTarget_r{k} = round(str2double(minFluxTarget{k}),6); + maxFluxTarget_r{k} = round(str2double(maxFluxTarget{k}),6); end % Create and fill flux ratio cell arrays (target/source) - MinFluxRatio = cell(height(minFlux),1); - MaxFluxRatio = cell(height(minFlux),1); + MinFluxRatio = cell(height(minFluxTarget),1); + MaxFluxRatio = cell(height(minFluxTarget),1); % Calculate ratios for all reaction fluxes - for n=1:1:length(minFlux) - minRatio = minFlux_r{n}/minFluxSource_r{n}; - maxRatio = maxFlux_r{n}/maxFluxSource_r{n}; + for n=1:1:length(minFluxTarget) + minRatio = minFluxTarget_r{n}/minFluxSource_r{n}; + maxRatio = maxFluxTarget_r{n}/maxFluxSource_r{n}; minRatio = round(minRatio,6); maxRatio = round(maxRatio,6); % Source flux is 0 - if minFluxSource_r{n} == 0 && minFlux_r{n} ~= 0 + if minFluxSource_r{n} == 0 && minFluxTarget_r{n} ~= 0 minRatio = 'up'; end - if maxFluxSource_r{n} == 0 && maxFlux_r{n} ~= 0 + if maxFluxSource_r{n} == 0 && maxFluxTarget_r{n} ~= 0 maxRatio = 'up'; end % Target flux is 0 - if minFlux_r{n} == 0 && minFluxSource_r{n} ~= 0 + if minFluxTarget_r{n} == 0 && minFluxSource_r{n} ~= 0 minRatio = 'down'; end - if maxFlux_r{n} == 0 && maxFluxSource_r{n} ~= 0 + if maxFluxTarget_r{n} == 0 && maxFluxSource_r{n} ~= 0 maxRatio = 'down'; end % Both are 0 - if minFlux_r{n} == 0 && minFluxSource_r{n} == 0 + if minFluxTarget_r{n} == 0 && minFluxSource_r{n} == 0 minRatio = 1; end - if maxFlux_r{n} == 0 && maxFluxSource_r{n} == 0 + if maxFluxTarget_r{n} == 0 && maxFluxSource_r{n} == 0 maxRatio = 1; end @@ -108,7 +109,7 @@ function calculateFluxShifts(source, target) end % Save results - folderName = 'resultsPostOptimization\fluxShifts\'; + folderName = 'resultsPostOptimization/fluxShifts/'; if ~exist(folderName, 'dir') mkdir(folderName) end @@ -117,7 +118,7 @@ function calculateFluxShifts(source, target) ratioData.Properties.VariableNames = {strcat('MinFlux_',source{1}), strcat('MaxFlux_',source{1}), 'MinFluxRatio', 'MaxFluxRatio'}; newData = [data ratioData]; - temp = split(T(i).name,"."); + temp = split(xlsFilesInfo(i).name,"."); resultFileName = strcat(temp(1),'_flux_shifts.xls'); fullResultFilePath = strcat(folderName, resultFileName); writetable(newData,fullResultFilePath{1},'AutoFitWidth',false); From 02b8c62fef7b664d6688b71cdcb91a738d825da9 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Mon, 20 Nov 2023 19:32:04 +0000 Subject: [PATCH 12/51] Update filterNonFluxReactions.m --- .../filterNonFluxReactions/filterNonFluxReactions.m | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/src/analysis/filterNonFluxReactions/filterNonFluxReactions.m b/src/analysis/filterNonFluxReactions/filterNonFluxReactions.m index 59b464ef6f..ae40c96407 100644 --- a/src/analysis/filterNonFluxReactions/filterNonFluxReactions.m +++ b/src/analysis/filterNonFluxReactions/filterNonFluxReactions.m @@ -16,8 +16,9 @@ function filterNonFluxReactions(phenotype) % .. Authors: % - Kristina Grausa 05/16/2022 % - Kristina Grausa 08/23/2022 - standard header and formatting +% - Farid Zare 20/11/2023 - Repository addresses are correcteds - dest = string(strcat('resultsPostOptimization\contextSpecificModels\*', phenotype, '*.*')); + dest = string(strcat('resultsPostOptimization/contextSpecificModels/*', phenotype, '*.*')); S = dir(dest); count = length(S); @@ -27,7 +28,7 @@ function filterNonFluxReactions(phenotype) for i=1:1:count sheetName = 'Reaction List'; - filename = strcat(S(i).folder, '\', S(i).name); + filename = strcat(S(i).folder, '/', S(i).name); data=readtable(filename,'Sheet',sheetName); % Copy headers @@ -75,7 +76,7 @@ function filterNonFluxReactions(phenotype) end % Save results - folderName = 'resultsPostOptimization\nonFluxReactions\'; + folderName = 'resultsPostOptimization/nonFluxReactions/'; if ~exist(folderName, 'dir') mkdir(folderName) end From 0ac5440dcdb581f5f9cd84d53ff0e40362b3d817 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Mon, 20 Nov 2023 19:33:27 +0000 Subject: [PATCH 13/51] Update testNonFluxReactions.m --- .../analysis/testNonFluxReactions/testNonFluxReactions.m | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/test/verifiedTests/analysis/testNonFluxReactions/testNonFluxReactions.m b/test/verifiedTests/analysis/testNonFluxReactions/testNonFluxReactions.m index 29d944f19b..a32481722a 100644 --- a/test/verifiedTests/analysis/testNonFluxReactions/testNonFluxReactions.m +++ b/test/verifiedTests/analysis/testNonFluxReactions/testNonFluxReactions.m @@ -8,6 +8,7 @@ % Authors: % - Kristina Grausa 05/16/2022 - created % - Kristina Grausa 08/22/2022 - standard header and formatting +% - Farid Zare 20/11/2023 - Repository addresses are corrected % global CBTDIR @@ -38,7 +39,7 @@ fprintf(' -- Running testNonFluxReactions.m using the solver interface: %s ... ', solvers.LP{k}); - assert(numel(dir('resultsPostOptimization\nonFluxReactions\')) > 2) + assert(numel(dir('resultsPostOptimization/nonFluxReactions/')) > 2) % output a success message fprintf('Done.\n'); From 62bf2f26764406d9c91ef75e29982956ceec3c4d Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Tue, 21 Nov 2023 11:34:38 +0000 Subject: [PATCH 14/51] Update testRateLimittingReactions.m --- .../testRateLimittingReactions/testRateLimittingReactions.m | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/test/verifiedTests/analysis/testRateLimittingReactions/testRateLimittingReactions.m b/test/verifiedTests/analysis/testRateLimittingReactions/testRateLimittingReactions.m index 9a701b7675..b33c911c7e 100644 --- a/test/verifiedTests/analysis/testRateLimittingReactions/testRateLimittingReactions.m +++ b/test/verifiedTests/analysis/testRateLimittingReactions/testRateLimittingReactions.m @@ -8,6 +8,7 @@ % Authors: % - Kristina Grausa 05/16/2022 - created % - Kristina Grausa 08/22/2022 - standard header and formatting +% - Farid Zare 11/21/2023 - Correction of repository address format % global CBTDIR @@ -38,7 +39,7 @@ fprintf(' -- Running testRateLimittingReactions.m using the solver interface: %s ... ', solvers.LP{k}); - assert(numel(dir('resultsPostOptimization\rateLimittingReactions')) > 2) + assert(numel(dir('resultsPostOptimization/rateLimittingReactions')) > 2) % output a success message fprintf('Done.\n'); @@ -46,4 +47,4 @@ end % change the directory -cd(currentDir) \ No newline at end of file +cd(currentDir) From 8ff55a5c5c24396c54e926bb802f22e6aada3f02 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Tue, 21 Nov 2023 11:35:16 +0000 Subject: [PATCH 15/51] Update filterRateLimittingReactions.m --- .../filterRateLimittingReactions.m | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/src/analysis/filterRateLimittingReactions/filterRateLimittingReactions.m b/src/analysis/filterRateLimittingReactions/filterRateLimittingReactions.m index a7303c765c..73a25d3f18 100644 --- a/src/analysis/filterRateLimittingReactions/filterRateLimittingReactions.m +++ b/src/analysis/filterRateLimittingReactions/filterRateLimittingReactions.m @@ -7,17 +7,19 @@ function filterRateLimittingReactions(phenotype) % % USAGE: % -% filterRateLimittingReactions(phenotype) +% filterRateLimittingReactions(phenotype) % % INPUTS: -% phenotype: char representing the phenotype name provided -% in each model name of the same phanotype +% phenotype: char representing the phenotype name provided +% in each model name of the same phanotype % % .. Authors: % - Kristina Grausa 05/16/2022 % - Kristina Grausa 08/23/2022 - standard header and formatting +% - Farid Zare 11/21/2023 - Correction of repository address format +% - dest = string(strcat('resultsPostOptimization\contextSpecificModels\*', phenotype, '*.xls')); + dest = string(strcat('resultsPostOptimization/contextSpecificModels/*', phenotype, '*.xls')); S = dir(dest); count = length(S); @@ -27,7 +29,7 @@ function filterRateLimittingReactions(phenotype) for i=1:1:count sheetName = 'Reaction List'; - filename = strcat(S(i).folder, '\', S(i).name); + filename = strcat(S(i).folder, '/', S(i).name); data=readtable(filename,'Sheet',sheetName); % Copy headers @@ -79,7 +81,7 @@ function filterRateLimittingReactions(phenotype) end % Save results - folderName = 'resultsPostOptimization\rateLimittingReactions\'; + folderName = 'resultsPostOptimization/rateLimittingReactions/'; if ~exist(folderName, 'dir') mkdir(folderName) end From 56b6f1b8dbf97aa395ffe686a7990ce33fd84b2b Mon Sep 17 00:00:00 2001 From: trjhensen Date: Tue, 21 Nov 2023 14:29:40 +0000 Subject: [PATCH 16/51] updated paths in tutorials and added VMH reaction data --- .../metaboRePort/VMH_reactionList.xlsx | Bin 0 -> 3029059 bytes .../metaboRePort/generateMetaboScore.m | 6 +- .../metaboRePort/populateModelwithRxnIDs.m | 4 +- .../metaboRePort/tutorial_MetaboRePort.m | 102 ++++++++++++------ .../metaboRePort/tutorial_MetaboRePort.mlx | Bin 3417 -> 3970 bytes 5 files changed, 77 insertions(+), 35 deletions(-) create mode 100644 src/reconstruction/metaboRePort/VMH_reactionList.xlsx diff --git a/src/reconstruction/metaboRePort/VMH_reactionList.xlsx b/src/reconstruction/metaboRePort/VMH_reactionList.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..3d6179e1d49c7ae16c4b34d277d17ca7d8620b65 GIT binary patch literal 3029059 zcmeFX1yh_|&@GC)yL)gA?rsSV!QB~PuwcOJxK@PR}0`* zBMnbS3l{@c4|_X`JQyhY90(}z-~ay~{}*SVKXC%s%Z>s%OSnb*Ql(D3!LEq?qwkf3 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+1,4 @@ -function [modelProp,ScoresOverall] = generateMemoteLikeScore(model,nworkers) +function [modelProp,ScoresOverall] = generateMetaboScore(model,nworkers) % Ines Thiele June 2022 @@ -53,7 +53,9 @@ a = printRxnFormula(model,'rxnAbbrList',model.rxns{i},'printFlag',0); c = regexp(a,'\[\w]'); c = c{1}; - clear comp; + if exist('comp','var') + clear comp; + end for k = 1 : length(c) comp{k} = a{1}(c(k):c(k)+2); end diff --git a/src/reconstruction/metaboRePort/populateModelwithRxnIDs.m b/src/reconstruction/metaboRePort/populateModelwithRxnIDs.m index d9886e0d76..dd19ff627f 100644 --- a/src/reconstruction/metaboRePort/populateModelwithRxnIDs.m +++ b/src/reconstruction/metaboRePort/populateModelwithRxnIDs.m @@ -1,6 +1,6 @@ function [modelUpdated] = populateModelwithRxnIDs(model) - -[~,~,RAW] = xlsread('C:\Users\0123322S\Dropbox\Studies\VMH\VMH_reactionList.xlsx'); +global CBTDIR +[~,~,RAW] = xlsread([CBTDIR filesep 'src' filesep 'reconstruction', filesep 'metaboReport', filesep, 'VMH_reactionList.xlsx']); % model field reactionList column header translate={ diff --git a/src/reconstruction/metaboRePort/tutorial_MetaboRePort.m b/src/reconstruction/metaboRePort/tutorial_MetaboRePort.m index f3460c4339..01e019d11f 100644 --- a/src/reconstruction/metaboRePort/tutorial_MetaboRePort.m +++ b/src/reconstruction/metaboRePort/tutorial_MetaboRePort.m @@ -1,54 +1,94 @@ -%% -% MetaboRePort: +%% MetaboRePort: +% Set path to the cobratoolbox +global CBTDIR +% Set root directory +root = ''; -load('C:\Users\0123322S\Desktop\X\met_strc_rBioNet_new_30_06_2022.mat') -%folder = 'C:\Users\0123322S\Downloads\AGORA2_mat_files\AGORA2_mat_files\AGORA2_mat_files_1\'; -folder = 'C:\Users\0123322S\Dropbox\MY PAPERS\SUBMITTED\Submitted\AGORA2\NatureBiotech\resubmission\AGORA2_recreated\'; -%folderUpdated = 'C:\Users\0123322S\Downloads\AGORA2_mat_files\AGORA2_mat_files\AGORA2_mat_files_1\'; -folderUpdated = 'C:\Users\0123322S\Dropbox\MY PAPERS\SUBMITTED\Submitted\AGORA2\NatureBiotech\resubmission\AGORA2_recreated\AGORA2_annotated\'; -%reportDir = 'C:\Users\0123322S\Documents\GitHub\MetaboRePort\reports'; -reportDir = 'C:\Users\0123322S\Dropbox\MY PAPERS\SUBMITTED\Submitted\AGORA2\NatureBiotech\resubmission\AGORA2_recreated\AGORA2_annotated\metaboRePorts\'; +% user defined path +folder = [root filesep 'refinedReconstructions']; % Set path to folder with reconstructions + +% Make folder to save the updated reconstructions +updatedReconstructPath = [root filesep 'updatedReconstructions']; +if exist(updatedReconstructPath,'dir')~=7 + mkdir(updatedReconstructPath) +end + +% Make folder to save the updated reconstructions as sbml files +annotatedSBMLreconstructions = [root filesep 'annotatedSBMLreconstructions']; +if exist(annotatedSBMLreconstructions,'dir')~=7 + mkdir(annotatedSBMLreconstructions) +end + +% Make folder to where the reports are saved +reportDir = [root filesep 'reports']; +if exist(reportDir,'dir')~=7 + mkdir(reportDir) +end + +% Load rBioNet metabolite structure information +metstructPath = [CBTDIR filesep 'tutorials' filesep 'dataIntegration' filesep... + 'metaboAnnotator' filesep 'data' filesep 'met_strc_rBioNet_new.mat']; + +% Ensure that the name of the rBioNet metabolite structure is metabolite_structure_rBioNet +metabolite_structure_rBioNet = load(metstructPath); +metabolite_structure_rBioNet = metabolite_structure_rBioNet.(string(fieldnames(metabolite_structure_rBioNet))); + +% Get reconstructions and reconstruction paths +directory = what(folder); +modelPaths = append(directory.path, filesep, directory.mat); +modelList = getModelPaths(folder); + +% Preallocate ScoresOverall table for speed +ScoresOverall = cell(length(modelList),2); -dInfo=dir(folder); -modelList={dInfo.name}; -modelList=modelList'; -modelList(~contains(modelList(:,1),'.mat'),:)=[]; tic; for i = 1 : length(modelList) - i - load(strcat(folder, modelList{i})); + disp(i) + % Load model + model = load(modelPaths(i)); + model = model.(string(fieldnames(model))); % ensure that the name of the loaded model is "model". + %[modelProp1,ScoresOverall1] = generateMemoteLikeScore(model); + % Populate and further annotate model with metabolite info [modelUpdated] = populateModelMetStr(model, metabolite_structure_rBioNet,1); [modelUpdated] = annotateSBOTerms(modelUpdated); - modelUpdated = rmfield(modelUpdated,'metInChIString'); % wrongly in microbe models + + if any(contains(fieldnames(modelUpdated), {'metInChIString'})) + modelUpdated = rmfield(modelUpdated,'metInChIString'); % wrongly in microbe models + end [modelUpdated] = populateModelwithRxnIDs(modelUpdated); - [modelProp2,ScoresOverall2] = generateMemoteLikeScore(modelUpdated); + [modelProp2,ScoresOverall2] = generateMetaboScore(modelUpdated); modelProperties.(regexprep(modelList{i},'.mat','')).ScoresOverall = ScoresOverall2; modelProperties.(regexprep(modelList{i},'.mat','')).modelUpdated = modelUpdated; modelProperties.(regexprep(modelList{i},'.mat','')).modelProp2 = modelProp2; ScoresOverall{i,1} = regexprep(modelList{i},'.mat',''); ScoresOverall{i,2} = num2str(ScoresOverall2); - if mod(i,10) - save('AGORA2_MetaboRePorts.mat','modelProperties','ScoresOverall'); + + if mod(i,10) % Save every ten models + save('MetaboRePorts.mat','modelProperties','ScoresOverall'); end - %% save updated mat file - model =modelUpdated; - save(strcat(folderUpdated,modelList{i}),'model'); - %%generate sbml file - %remove description from model structure as this causes issues - modelUpdated = rmfield(modelUpdated,'description'); - fileName = regexprep(modelList{i},'.mat',''); - outmodel = writeCbModel(modelUpdated, 'format','sbml', 'fileName', strcat(folderUpdated,'Annotated_',fileName)); + % save updated mat file + model = modelUpdated; + save(strcat(updatedReconstructPath, filesep, modelList(i), '.mat'),'model'); + + %% generate sbml file + % remove description from model structure as this causes issues + if any(contains(fieldnames(modelUpdated), {'description'})) + modelUpdated = rmfield(modelUpdated,'description'); + end + + % Set sbml path + sbmlPath = char(strcat(annotatedSBMLreconstructions, filesep, 'Annotated_',modelList(i))); + % Save model + outmodel = writeCbModel(modelUpdated, 'format','sbml', 'fileName', sbmlPath); end toc; - -evalc('generateMemoteLikeReport(modelProperties,reportDir)'); - -%% \ No newline at end of file +% Generate a generateMetaboReport for each reconstruction +evalc('generateMetaboReport(modelProperties,reportDir)'); \ No newline at end of file diff --git a/src/reconstruction/metaboRePort/tutorial_MetaboRePort.mlx b/src/reconstruction/metaboRePort/tutorial_MetaboRePort.mlx index 974a989d1eef513cf02b80fef55ee4e8b825c75e..ef3550591ab441de9a316197156ef31fdd4c5519 100644 GIT binary patch delta 2736 zcmY*bc{tST7a#jFLxi!7oor3n$&x{oHG8&Dk$um0E#GXTELmodhAYbq*FNPEV^YRm zSw>=veYv=bXrf4dy3h0b{jT%=^PY1)&-=Web3X5RUW!n%SaT~qw`b&y?&hX3J|+-o 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zo5r$THHxeo>&&DF=%s=3CsSshp%S(lIdDocK` zhh4GJn=W$M?TP;;<{?E{O&U@;ZdU(lcLq)iq>S$OWbG}5ey>k8e+eA*9?O||`NFuR z^%rZ47#^ z!3uuL=to~sSfXU}M6P|NQ;P#V>GZ@(0U=8xuZZCA{I;&rUU&IktKy7A<>jE83Xndv zP?l>A4G0x~=+!)0iekQg^{c*YZC)&~>nAhkP_JKu zbNrQdE9x)6aUMYLDZNr^dw-x#2>_17eg`Z zXn=B?n}^MlksH*vQGPt5wur+7$VYkQ z;*D0@4nsB?yoR!3Xo{a20y4n_yZ5F~)o1vsi23m7rAj!vPTlv8wdd#=(GMf^e0mXf zL6ViPza&?Vz^!ORQ+UNIo{U_!e;RiGV}NyK%D60H{U|k*<~T;HDdlY!6+wlX)-%5` zpg21Y4s=kO5l4(1IBtuA$qM&m;q*WZ3_(vUEnkL|>k+f~QvV9C5dOA=+RK}sUg@tx zEj+2OIP_UXV4DhG7s-Aly$--8XktDZs7AzsAARPT_*nYBn!mb$r^LT%7~giPFJj4p z`QfchMG!bw*-FK}h8S$G3W%VI3Cj$9Q|#Ecq<`0+vZ7qPDkE8G%7Nx!IEL{psN*Q%GWj2>yH!6~vOupRr* zaeZuxLjUK5qT&On_|);40S9Fl<^L0G>JFF|0D%4}{8uo{h_hjr=KtNyJ=B6ORU~js q0Ac#$VH-OS|M3p_NA=G!5N4`KmH)W+|0|#a{pTix7+F|;7ybsMc;D0j From a610c821d0c2be2700cd1ca049232382e8327db1 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Tue, 21 Nov 2023 17:39:36 +0000 Subject: [PATCH 17/51] Update testCheckModelPreFBA.m --- .../analysis/testFBA/testCheckModelPreFBA.m | 67 ++++++++++++++++--- 1 file changed, 56 insertions(+), 11 deletions(-) diff --git a/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m b/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m index 2c85907f7a..428c7a5828 100644 --- a/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m +++ b/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m @@ -1,15 +1,60 @@ -%test checkModelPreFBA(model,param) -if ~exist('model','var') - load 'Recon3DModel_301.mat' -end -printLevel=0; +% The COBRAToolbox: testcheckModelPreFBA.m +% +% Purpose: +% - testcheckModelPreFBA tests the functionality of checkModelPreFBA.m +% function +% +% Authors: +% - Ronan Fleming 06/11/2020 +% - Farid Zare: 21/11/2023 Revised the code +% + +global CBTDIR + +% define the required solvers +requiredSolvers = {'needsLP', 'matlab'}; + +% check if the specified requirements are fullfilled +solvers = prepareTest('needsLP', true); + +% save the current path and initialize the test +currentDir = cd(fileparts(which(mfilename))); + +% determine the test path for references +testPath = pwd; -model = findSExRxnInd(model,[],printLevel-1); +%Load Recon3DModel +model = getDistributedModel('Recon3DModel_301.mat'); -N = model.S(:,model.SIntRxnBool); +%Find the internal reaction subset of the network +printLevel = -1; +model = findSExRxnInd(model,[],printLevel); -%Recon3DModel_301, with open external reactions, is flux and -%stoichiometrically consistent, so check should be positive -isConsistent = checkModelPreFBA(model,param); +%Make an inconsistent model by adding an isolated metabolite +incModel = getDistributedModel('ecoli_core_model.mat'); +incModel = addExchangeRxn(incModel, 'isolatedMet', -10, 0); + +%Initialize the test +param.printLevel = 0; + +for k = 1:length(solvers.LP) + solverLPOK = changeCobraSolver(solvers.LP{k}, 'LP', 0); + if solverLPOK + fprintf(' -- Running testcheckModelPreFBA.m using the solver interface: %s ... ', solvers.LP{k}); + %Recon3DModel_301, with open external reactions, is flux and + %stoichiometrically consistent, so check should be positive + isConsistent = checkModelPreFBA(model, param); + assert(isConsistent) + + %The model containing only external reactions is flux and + %stoichiometrically inconsistent, so output must be zero + isConsistent = checkModelPreFBA(incModel, param); + assert(~isConsistent) + + % output a success message + fprintf('Done.\n'); + end +end -assert(isConsistent) +% change the directory +cd(currentDir) From dafa69e49a4d73f592bd2ce2a418414c0744edba Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Tue, 21 Nov 2023 17:46:16 +0000 Subject: [PATCH 18/51] Update testPrintFluxVector.m --- .../analysis/testPrint/testPrintFluxVector.m | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m b/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m index 77a2bc2aef..2b570ea525 100644 --- a/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m +++ b/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m @@ -6,6 +6,7 @@ % % Authors: % - Sylvain Arreckx March 2017 +% - Farid Zare 21/11/2023 old file deleted, A success message is added % global CBTDIR @@ -33,10 +34,16 @@ printFluxVector(model, flux); diary off +%Initialize the test +fprintf(' -- Running testPrintFluxVector.m:'); + text1 = importdata('refData_printFluxVector.txt'); text2 = importdata('printFluxVector.txt'); assert(isequal(text1, text2)); +% remove the old file +delete('printFluxVector.txt'); + printFluxVector(model, flux, true, false, 1, 'printFluxVector.txt', [], true); text1 = importdata('refData_printFluxVectorFormula.txt'); text2 = importdata('printFluxVector.txt'); @@ -45,5 +52,8 @@ % remove the generated file delete('printFluxVector.txt'); +% output a success message +fprintf('... Done.\n'); + % change the directory cd(currentDir) From 24716958db0ffe49f726c86bd95242ef9dd9436f Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Tue, 21 Nov 2023 17:47:36 +0000 Subject: [PATCH 19/51] Update printFluxVector.m --- src/analysis/exploration/printFluxVector.m | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/analysis/exploration/printFluxVector.m b/src/analysis/exploration/printFluxVector.m index cb66df399e..3114a2a9c0 100644 --- a/src/analysis/exploration/printFluxVector.m +++ b/src/analysis/exploration/printFluxVector.m @@ -20,7 +20,8 @@ function printFluxVector(model, fluxData, nonZeroFlag, excFlag, sortCol, fileNam % % .. Authors: -% - Markus Herrgard, Ronan Fleming +% - Markus Herrgard, Ronan Fleming +% - Farid Zare 21/11/2023 Corrected outputing multiple rxn names if isempty(fluxData) return @@ -70,7 +71,6 @@ function printFluxVector(model, fluxData, nonZeroFlag, excFlag, sortCol, fileNam % Add reaction formulas if formulaFlag if nonZeroFlag - labels = [model.rxns,model.rxns]; %only generate the formulas for the nonzero entries labels(bool,end+1) = printRxnFormula(model, labels(bool), false, false); else From 2d540a01f4199b8dfdf6731e2a9f7c95d9b7629a Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Tue, 21 Nov 2023 17:50:16 +0000 Subject: [PATCH 20/51] Update refData_printFluxVectorFormula.txt --- .../refData_printFluxVectorFormula.txt | 188 +++++++++--------- 1 file changed, 94 insertions(+), 94 deletions(-) diff --git a/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt b/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt index 867904b190..b2f6549d0d 100644 --- a/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt +++ b/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt @@ -1,95 +1,95 @@ -EX_nh4(e) nh4[e] <=> -2.94428 -ACKr ac[c] + atp[c] <=> actp[c] + adp[c] -2.25885 -FBA fdp[c] <=> dhap[c] + g3p[c] -1.71152 -NADH16 4 h[c] + nadh[c] + q8[c] -> 3 h[e] + nad[c] + q8h2[c] -1.49159 -PGM 2pg[c] <=> 3pg[c] -1.42238 -PGL 6pgl[c] + h2o[c] -> 6pgc[c] + h[c] -1.40227 -ATPM atp[c] + h2o[c] -> adp[c] + h[c] + pi[c] -1.34989 -ACt2r ac[e] + h[e] <=> ac[c] + h[c] -1.30769 -GLUDy glu-L[c] + h2o[c] + nadp[c] <=> akg[c] + h[c] + nadph[c] + nh4[c] -1.21412 -EX_akg(e) akg[e] -> -1.20749 -SUCOAS atp[c] + coa[c] + succ[c] <=> adp[c] + pi[c] + succoa[c] -1.16584 -TALA g3p[c] + s7p[c] <=> e4p[c] + f6p[c] -1.14795 -EX_h2o(e) h2o[e] <=> -1.14707 -GLUN gln-L[c] + h2o[c] -> glu-L[c] + nh4[c] -1.1135 -LDH_D lac-D[c] + nad[c] <=> h[c] + nadh[c] + pyr[c] -1.08906 -EX_lac_D(e) lac-D[e] -> -1.06887 -NH4t nh4[e] <=> nh4[c] -1.06158 -FRUpts2 fru[e] + pep[c] -> f6p[c] + pyr[c] -0.86488 -GLNS atp[c] + glu-L[c] + nh4[c] -> adp[c] + gln-L[c] + h[c] + pi[c] -0.863653 -EX_mal_L(e) mal-L[e] -> -0.809499 -RPE ru5p-D[c] <=> xu5p-D[c] -0.804466 -EX_glu_L(e) glu-L[e] -> -0.787283 -GND 6pgc[c] + nadp[c] -> co2[c] + nadph[c] + ru5p-D[c] -0.769666 -PGK 3pg[c] + atp[c] <=> 13dpg[c] + adp[c] -0.764849 -EX_pyr(e) pyr[e] -> -0.754928 -NADTRHD nad[c] + nadph[c] -> nadh[c] + nadp[c] -0.742302 -TPI dhap[c] <=> g3p[c] -0.666891 -PDH coa[c] + nad[c] + pyr[c] -> accoa[c] + co2[c] + nadh[c] -0.615602 -ADK1 amp[c] + atp[c] <=> 2 adp[c] -0.433592 -EX_glc(e) glc-D[e] <=> -0.303441 -SUCCt3 h[e] + succ[c] -> h[c] + succ[e] -0.243715 -FORt2 for[e] + h[e] -> for[c] + h[c] -0.241447 -ICDHyr icit[c] + nadp[c] <=> akg[c] + co2[c] + nadph[c] -0.225584 -CYTBD 2 h[c] + 0.5 o2[c] + q8h2[c] -> h2o[c] + 2 h[e] + q8[c] -0.204966 -PPCK atp[c] + oaa[c] -> adp[c] + co2[c] + pep[c] -0.196053 -PFL coa[c] + pyr[c] -> accoa[c] + for[c] -0.192419 -PPC co2[c] + h2o[c] + pep[c] -> h[c] + oaa[c] + pi[c] -0.177375 -FUMt2_2 fum[e] + 2 h[e] -> fum[c] + 2 h[c] -0.164879 -D_LACt2 h[e] + lac-D[e] <=> h[c] + lac-D[c] -0.124144 -FBP fdp[c] + h2o[c] -> f6p[c] + pi[c] -0.102242 -CO2t co2[e] <=> co2[c] -0.0630549 -FUM fum[c] + h2o[c] <=> mal-L[c] -0.0300513 -GLUSy akg[c] + gln-L[c] + h[c] + nadph[c] -> 2 glu-L[c] + nadp[c] -0.00684933 -MALS accoa[c] + glx[c] + h2o[c] -> coa[c] + h[c] + mal-L[c] 0.0325575 -GLNabc atp[c] + gln-L[e] + h2o[c] -> adp[c] + gln-L[c] + h[c] + pi[c] 0.0773591 -ME2 mal-L[c] + nadp[c] -> co2[c] + nadph[c] + pyr[c] 0.0859311 -THD2 2 h[e] + nadh[c] + nadp[c] -> 2 h[c] + nad[c] + nadph[c] 0.104875 -PYK adp[c] + h[c] + pep[c] -> atp[c] + pyr[c] 0.197811 -SUCDi q8[c] + succ[c] -> fum[c] + q8h2[c] 0.21567 -PTAr accoa[c] + pi[c] <=> actp[c] + coa[c] 0.291584 -EX_gln_L(e) gln-L[e] -> 0.293871 -FRD7 fum[c] + q8h2[c] -> q8[c] + succ[c] 0.312859 -ACONTb acon-C[c] + h2o[c] <=> icit[c] 0.318765 -FORti for[c] -> for[e] 0.319207 -EX_pi(e) pi[e] <=> 0.325191 -AKGDH akg[c] + coa[c] + nad[c] -> co2[c] + nadh[c] + succoa[c] 0.342624 -H2Ot h2o[e] <=> h2o[c] 0.371379 -PIt2r h[e] + pi[e] <=> h[c] + pi[c] 0.488194 -EX_for(e) for[e] -> 0.488894 -ACALD acald[c] + coa[c] + nad[c] <=> accoa[c] + h[c] + nadh[c] 0.537667 -MALt2_2 2 h[e] + mal-L[e] -> 2 h[c] + mal-L[c] 0.552527 -G6PDH2r g6p[c] + nadp[c] <=> 6pgl[c] + h[c] + nadph[c] 0.627707 -EX_acald(e) acald[e] -> 0.671497 -RPI r5p[c] <=> ru5p-D[c] 0.696624 -CS accoa[c] + h2o[c] + oaa[c] -> cit[c] + coa[c] + h[c] 0.714743 -EX_co2(e) co2[e] <=> 0.717239 -TKT1 r5p[c] + xu5p-D[c] <=> g3p[c] + s7p[c] 0.722254 +EX_nh4(e) nh4[e] <=> -2.94428 +ACKr ac[c] + atp[c] <=> actp[c] + adp[c] -2.25885 +FBA fdp[c] <=> dhap[c] + g3p[c] -1.71152 +NADH16 4 h[c] + nadh[c] + q8[c] -> 3 h[e] + nad[c] + q8h2[c] -1.49159 +PGM 2pg[c] <=> 3pg[c] -1.42238 +PGL 6pgl[c] + h2o[c] -> 6pgc[c] + h[c] -1.40227 +ATPM atp[c] + h2o[c] -> adp[c] + h[c] + pi[c] -1.34989 +ACt2r ac[e] + h[e] <=> ac[c] + h[c] -1.30769 +GLUDy glu-L[c] + h2o[c] + nadp[c] <=> akg[c] + h[c] + nadph[c] + nh4[c] -1.21412 +EX_akg(e) akg[e] -> -1.20749 +SUCOAS atp[c] + coa[c] + succ[c] <=> adp[c] + pi[c] + succoa[c] -1.16584 +TALA g3p[c] + s7p[c] <=> e4p[c] + f6p[c] -1.14795 +EX_h2o(e) h2o[e] <=> -1.14707 +GLUN gln-L[c] + h2o[c] -> glu-L[c] + nh4[c] -1.1135 +LDH_D lac-D[c] + nad[c] <=> h[c] + nadh[c] + pyr[c] -1.08906 +EX_lac_D(e) lac-D[e] -> -1.06887 +NH4t nh4[e] <=> nh4[c] -1.06158 +FRUpts2 fru[e] + pep[c] -> f6p[c] + pyr[c] -0.86488 +GLNS atp[c] + glu-L[c] + nh4[c] -> adp[c] + gln-L[c] + h[c] + pi[c] -0.863653 +EX_mal_L(e) mal-L[e] -> -0.809499 +RPE ru5p-D[c] <=> xu5p-D[c] -0.804466 +EX_glu_L(e) glu-L[e] -> -0.787283 +GND 6pgc[c] + nadp[c] -> co2[c] + nadph[c] + ru5p-D[c] -0.769666 +PGK 3pg[c] + atp[c] <=> 13dpg[c] + adp[c] -0.764849 +EX_pyr(e) pyr[e] -> -0.754928 +NADTRHD nad[c] + nadph[c] -> nadh[c] + nadp[c] -0.742302 +TPI dhap[c] <=> g3p[c] -0.666891 +PDH coa[c] + nad[c] + pyr[c] -> accoa[c] + co2[c] + nadh[c] -0.615602 +ADK1 amp[c] + atp[c] <=> 2 adp[c] -0.433592 +EX_glc(e) glc-D[e] <=> -0.303441 +SUCCt3 h[e] + succ[c] -> h[c] + succ[e] -0.243715 +FORt2 for[e] + h[e] -> for[c] + h[c] -0.241447 +ICDHyr icit[c] + nadp[c] <=> akg[c] + co2[c] + nadph[c] -0.225584 +CYTBD 2 h[c] + 0.5 o2[c] + q8h2[c] -> h2o[c] + 2 h[e] + q8[c] -0.204966 +PPCK atp[c] + oaa[c] -> adp[c] + co2[c] + pep[c] -0.196053 +PFL coa[c] + pyr[c] -> accoa[c] + for[c] -0.192419 +PPC co2[c] + h2o[c] + pep[c] -> h[c] + oaa[c] + pi[c] -0.177375 +FUMt2_2 fum[e] + 2 h[e] -> fum[c] + 2 h[c] -0.164879 +D_LACt2 h[e] + lac-D[e] <=> h[c] + lac-D[c] -0.124144 +FBP fdp[c] + h2o[c] -> f6p[c] + pi[c] -0.102242 +CO2t co2[e] <=> co2[c] -0.0630549 +FUM fum[c] + h2o[c] <=> mal-L[c] -0.0300513 +GLUSy akg[c] + gln-L[c] + h[c] + nadph[c] -> 2 glu-L[c] + nadp[c] -0.00684933 +MALS accoa[c] + glx[c] + h2o[c] -> coa[c] + h[c] + mal-L[c] 0.0325575 +GLNabc atp[c] + gln-L[e] + h2o[c] -> adp[c] + gln-L[c] + h[c] + pi[c] 0.0773591 +ME2 mal-L[c] + nadp[c] -> co2[c] + nadph[c] + pyr[c] 0.0859311 +THD2 2 h[e] + nadh[c] + nadp[c] -> 2 h[c] + nad[c] + nadph[c] 0.104875 +PYK adp[c] + h[c] + pep[c] -> atp[c] + pyr[c] 0.197811 +SUCDi q8[c] + succ[c] -> fum[c] + q8h2[c] 0.21567 +PTAr accoa[c] + pi[c] <=> actp[c] + coa[c] 0.291584 +EX_gln_L(e) gln-L[e] -> 0.293871 +FRD7 fum[c] + q8h2[c] -> q8[c] + succ[c] 0.312859 +ACONTb acon-C[c] + h2o[c] <=> icit[c] 0.318765 +FORti for[c] -> for[e] 0.319207 +EX_pi(e) pi[e] <=> 0.325191 +AKGDH akg[c] + coa[c] + nad[c] -> co2[c] + nadh[c] + succoa[c] 0.342624 +H2Ot h2o[e] <=> h2o[c] 0.371379 +PIt2r h[e] + pi[e] <=> h[c] + pi[c] 0.488194 +EX_for(e) for[e] -> 0.488894 +ACALD acald[c] + coa[c] + nad[c] <=> accoa[c] + h[c] + nadh[c] 0.537667 +MALt2_2 2 h[e] + mal-L[e] -> 2 h[c] + mal-L[c] 0.552527 +G6PDH2r g6p[c] + nadp[c] <=> 6pgl[c] + h[c] + nadph[c] 0.627707 +EX_acald(e) acald[e] -> 0.671497 +RPI r5p[c] <=> ru5p-D[c] 0.696624 +CS accoa[c] + h2o[c] + oaa[c] -> cit[c] + coa[c] + h[c] 0.714743 +EX_co2(e) co2[e] <=> 0.717239 +TKT1 r5p[c] + xu5p-D[c] <=> g3p[c] + s7p[c] 0.722254 Biomass_Ecoli_core_w_GAM 1.496 3pg[c] + 3.7478 accoa[c] + 59.81 atp[c] + 0.361 e4p[c] + 0.0709 f6p[c] + 0.129 g3p[c] + 0.205 g6p[c] + 0.2557 gln-L[c] + 4.9414 glu-L[c] + 59.81 h2o[c] + 3.547 nad[c] + 13.0279 nadph[c] + 1.7867 oaa[c] + 0.5191 pep[c] + 2.8328 pyr[c] + 0.8977 r5p[c] -> 59.81 adp[c] + 4.1182 akg[c] + 3.7478 coa[c] + 59.81 h[c] + 3.547 nadh[c] + 13.0279 nadp[c] + 59.81 pi[c] 0.725404 -EX_fum(e) fum[e] -> 0.726885 -PFK atp[c] + f6p[c] -> adp[c] + fdp[c] + h[c] 0.748077 -SUCCt2_2 2 h[e] + succ[e] -> 2 h[c] + succ[c] 0.835088 -ACONTa cit[c] <=> acon-C[c] + h2o[c] 0.862173 -EX_h(e) h[e] <=> 0.888396 -PGI g6p[c] <=> f6p[c] 0.88861 -EX_fru(e) fru[e] -> 1.03469 -GAPD g3p[c] + nad[c] + pi[c] <=> 13dpg[c] + h[c] + nadh[c] 1.09327 -MDH mal-L[c] + nad[c] <=> h[c] + nadh[c] + oaa[c] 1.10061 -GLCpts glc-D[e] + pep[c] -> g6p[c] + pyr[c] 1.10927 -ICL icit[c] -> glx[c] + succ[c] 1.11736 -EX_succ(e) succ[e] -> 1.3703 -ETOHt2r etoh[e] + h[e] <=> etoh[c] + h[c] 1.40903 -EX_ac(e) ac[e] -> 1.41719 -PPS atp[c] + h2o[c] + pyr[c] -> amp[c] + 2 h[c] + pep[c] + pi[c] 1.41931 -EX_o2(e) o2[e] <=> 1.43838 -ENO 2pg[c] <=> h2o[c] + pep[c] 1.4897 -GLUt2r glu-L[e] + h[e] <=> glu-L[c] + h[c] 1.53263 -ME1 mal-L[c] + nad[c] -> co2[c] + nadh[c] + pyr[c] 1.54421 -PYRt2r h[e] + pyr[e] <=> h[c] + pyr[c] 1.5877 -EX_etoh(e) etoh[e] -> 1.63024 -ACALDt acald[e] <=> acald[c] 1.83389 -O2t o2[e] <=> o2[c] 2.35046 -TKT2 e4p[c] + xu5p-D[c] <=> f6p[c] + g3p[c] 2.58549 -ALCD2x etoh[c] + nad[c] <=> acald[c] + h[c] + nadh[c] 2.76944 -ATPS4r adp[c] + 4 h[e] + pi[c] <=> atp[c] + h2o[c] + 3 h[c] 3.03492 -AKGt2r akg[e] + h[e] <=> akg[c] + h[c] 3.5784 +EX_fum(e) fum[e] -> 0.726885 +PFK atp[c] + f6p[c] -> adp[c] + fdp[c] + h[c] 0.748077 +SUCCt2_2 2 h[e] + succ[e] -> 2 h[c] + succ[c] 0.835088 +ACONTa cit[c] <=> acon-C[c] + h2o[c] 0.862173 +EX_h(e) h[e] <=> 0.888396 +PGI g6p[c] <=> f6p[c] 0.88861 +EX_fru(e) fru[e] -> 1.03469 +GAPD g3p[c] + nad[c] + pi[c] <=> 13dpg[c] + h[c] + nadh[c] 1.09327 +MDH mal-L[c] + nad[c] <=> h[c] + nadh[c] + oaa[c] 1.10061 +GLCpts glc-D[e] + pep[c] -> g6p[c] + pyr[c] 1.10927 +ICL icit[c] -> glx[c] + succ[c] 1.11736 +EX_succ(e) succ[e] -> 1.3703 +ETOHt2r etoh[e] + h[e] <=> etoh[c] + h[c] 1.40903 +EX_ac(e) ac[e] -> 1.41719 +PPS atp[c] + h2o[c] + pyr[c] -> amp[c] + 2 h[c] + pep[c] + pi[c] 1.41931 +EX_o2(e) o2[e] <=> 1.43838 +ENO 2pg[c] <=> h2o[c] + pep[c] 1.4897 +GLUt2r glu-L[e] + h[e] <=> glu-L[c] + h[c] 1.53263 +ME1 mal-L[c] + nad[c] -> co2[c] + nadh[c] + pyr[c] 1.54421 +PYRt2r h[e] + pyr[e] <=> h[c] + pyr[c] 1.5877 +EX_etoh(e) etoh[e] -> 1.63024 +ACALDt acald[e] <=> acald[c] 1.83389 +O2t o2[e] <=> o2[c] 2.35046 +TKT2 e4p[c] + xu5p-D[c] <=> f6p[c] + g3p[c] 2.58549 +ALCD2x etoh[c] + nad[c] <=> acald[c] + h[c] + nadh[c] 2.76944 +ATPS4r adp[c] + 4 h[e] + pi[c] <=> atp[c] + h2o[c] + 3 h[c] 3.03492 +AKGt2r akg[e] + h[e] <=> akg[c] + h[c] 3.5784 From cb5832870070e3b02d4d969a1fba984e81c3e242 Mon Sep 17 00:00:00 2001 From: Ines Thiele Date: Tue, 21 Nov 2023 22:16:53 +0000 Subject: [PATCH 21/51] changes to reportTemplate --- .../metaboRePort/reportTemplate.html | 45 +++++++++++++++++++ 1 file changed, 45 insertions(+) diff --git a/src/reconstruction/metaboRePort/reportTemplate.html b/src/reconstruction/metaboRePort/reportTemplate.html index 9bbe9b4ea2..8765ad21f5 100644 --- a/src/reconstruction/metaboRePort/reportTemplate.html +++ b/src/reconstruction/metaboRePort/reportTemplate.html @@ -2258,6 +2258,51 @@

Genes without any SBO Ter

+
From 2ffac474acaf15853a15e460d089c6caeae16aec Mon Sep 17 00:00:00 2001 From: Ines Thiele Date: Tue, 21 Nov 2023 22:59:31 +0000 Subject: [PATCH 22/51] changes to generateMetaboScore --- src/reconstruction/metaboRePort/generateMetaboScore.m | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/src/reconstruction/metaboRePort/generateMetaboScore.m b/src/reconstruction/metaboRePort/generateMetaboScore.m index 2b6f2940c0..eb2e4494f7 100644 --- a/src/reconstruction/metaboRePort/generateMetaboScore.m +++ b/src/reconstruction/metaboRePort/generateMetaboScore.m @@ -45,7 +45,7 @@ DmR = DmR + 1; elseif ~isempty(find(contains(model.rxns{i},'Sink_'))) || ~isempty(find(contains(model.rxns{i},'sink_'))) SinkR = SinkR + 1; - elseif ~isempty(find(contains(model.rxns{i},'biomass'))) + elseif ~isempty(find(contains(lower(model.rxns{i}),'biomass'))) % Biomass Reactions SBO:0000629 Presence BioR = BioR + 1; else @@ -95,16 +95,17 @@ modelProp.Details.SinkRxns = [model.rxns(contains(model.rxns,'Sink_'));model.rxns(contains(model.rxns,'sink_'))]; % biomass reactions modelProp.BiomassRxns = BioR; -modelProp.Details.BiomassRxns = model.rxns(contains(model.rxns,'biomass'));% exclude EX_biomass? +modelProp.Details.BiomassRxns = model.rxns(contains(lower(model.rxns,'biomass')));% exclude EX_biomass? modelProp.MetabolicRxns = MetR; modelProp.Details.MetabolicRxns =MetRxns'; modelProp.TransportRxns = TransR; modelProp.Details.TransportRxns =TransRxns'; -% reactions without GPR - TODO should be only internal reactions +% internal reactions without GPR RxnsWOGpr = model.rxns(find(cellfun(@isempty,model.grRules))); - +External = [modelProp.Details.ExchangeRxns;modelProp.Details.DemandRxns;modelProp.Details.SinkRxns ;modelProp.Details.BiomassRxns ]; +RxnsWOGpr = setdiff(RxnsWOGpr,External); modelProp.RxnsWithoutGpr = length(RxnsWOGpr)*100/modelProp.n; modelProp.Details.RxnsWithoutGpr = RxnsWOGpr; From ca253b4467cefb186ac1bae6c7deba1592b06342 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Wed, 22 Nov 2023 14:48:51 +0000 Subject: [PATCH 23/51] Update refData_printFluxVectorFormula.txt --- .../refData_printFluxVectorFormula.txt | 188 +++++++++--------- 1 file changed, 94 insertions(+), 94 deletions(-) diff --git a/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt b/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt index b2f6549d0d..867904b190 100644 --- a/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt +++ b/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt @@ -1,95 +1,95 @@ -EX_nh4(e) nh4[e] <=> -2.94428 -ACKr ac[c] + atp[c] <=> actp[c] + adp[c] -2.25885 -FBA fdp[c] <=> dhap[c] + g3p[c] -1.71152 -NADH16 4 h[c] + nadh[c] + q8[c] -> 3 h[e] + nad[c] + q8h2[c] -1.49159 -PGM 2pg[c] <=> 3pg[c] -1.42238 -PGL 6pgl[c] + h2o[c] -> 6pgc[c] + h[c] -1.40227 -ATPM atp[c] + h2o[c] -> adp[c] + h[c] + pi[c] -1.34989 -ACt2r ac[e] + h[e] <=> ac[c] + h[c] -1.30769 -GLUDy glu-L[c] + h2o[c] + nadp[c] <=> akg[c] + h[c] + nadph[c] + nh4[c] -1.21412 -EX_akg(e) akg[e] -> -1.20749 -SUCOAS atp[c] + coa[c] + succ[c] <=> adp[c] + pi[c] + succoa[c] -1.16584 -TALA g3p[c] + s7p[c] <=> e4p[c] + f6p[c] -1.14795 -EX_h2o(e) h2o[e] <=> -1.14707 -GLUN gln-L[c] + h2o[c] -> glu-L[c] + nh4[c] -1.1135 -LDH_D lac-D[c] + nad[c] <=> h[c] + nadh[c] + pyr[c] -1.08906 -EX_lac_D(e) lac-D[e] -> -1.06887 -NH4t nh4[e] <=> nh4[c] -1.06158 -FRUpts2 fru[e] + pep[c] -> f6p[c] + pyr[c] -0.86488 -GLNS atp[c] + glu-L[c] + nh4[c] -> adp[c] + gln-L[c] + h[c] + pi[c] -0.863653 -EX_mal_L(e) mal-L[e] -> -0.809499 -RPE ru5p-D[c] <=> xu5p-D[c] -0.804466 -EX_glu_L(e) glu-L[e] -> -0.787283 -GND 6pgc[c] + nadp[c] -> co2[c] + nadph[c] + ru5p-D[c] -0.769666 -PGK 3pg[c] + atp[c] <=> 13dpg[c] + adp[c] -0.764849 -EX_pyr(e) pyr[e] -> -0.754928 -NADTRHD nad[c] + nadph[c] -> nadh[c] + nadp[c] -0.742302 -TPI dhap[c] <=> g3p[c] -0.666891 -PDH coa[c] + nad[c] + pyr[c] -> accoa[c] + co2[c] + nadh[c] -0.615602 -ADK1 amp[c] + atp[c] <=> 2 adp[c] -0.433592 -EX_glc(e) glc-D[e] <=> -0.303441 -SUCCt3 h[e] + succ[c] -> h[c] + succ[e] -0.243715 -FORt2 for[e] + h[e] -> for[c] + h[c] -0.241447 -ICDHyr icit[c] + nadp[c] <=> akg[c] + co2[c] + nadph[c] -0.225584 -CYTBD 2 h[c] + 0.5 o2[c] + q8h2[c] -> h2o[c] + 2 h[e] + q8[c] -0.204966 -PPCK atp[c] + oaa[c] -> adp[c] + co2[c] + pep[c] -0.196053 -PFL coa[c] + pyr[c] -> accoa[c] + for[c] -0.192419 -PPC co2[c] + h2o[c] + pep[c] -> h[c] + oaa[c] + pi[c] -0.177375 -FUMt2_2 fum[e] + 2 h[e] -> fum[c] + 2 h[c] -0.164879 -D_LACt2 h[e] + lac-D[e] <=> h[c] + lac-D[c] -0.124144 -FBP fdp[c] + h2o[c] -> f6p[c] + pi[c] -0.102242 -CO2t co2[e] <=> co2[c] -0.0630549 -FUM fum[c] + h2o[c] <=> mal-L[c] -0.0300513 -GLUSy akg[c] + gln-L[c] + h[c] + nadph[c] -> 2 glu-L[c] + nadp[c] -0.00684933 -MALS accoa[c] + glx[c] + h2o[c] -> coa[c] + h[c] + mal-L[c] 0.0325575 -GLNabc atp[c] + gln-L[e] + h2o[c] -> adp[c] + gln-L[c] + h[c] + pi[c] 0.0773591 -ME2 mal-L[c] + nadp[c] -> co2[c] + nadph[c] + pyr[c] 0.0859311 -THD2 2 h[e] + nadh[c] + nadp[c] -> 2 h[c] + nad[c] + nadph[c] 0.104875 -PYK adp[c] + h[c] + pep[c] -> atp[c] + pyr[c] 0.197811 -SUCDi q8[c] + succ[c] -> fum[c] + q8h2[c] 0.21567 -PTAr accoa[c] + pi[c] <=> actp[c] + coa[c] 0.291584 -EX_gln_L(e) gln-L[e] -> 0.293871 -FRD7 fum[c] + q8h2[c] -> q8[c] + succ[c] 0.312859 -ACONTb acon-C[c] + h2o[c] <=> icit[c] 0.318765 -FORti for[c] -> for[e] 0.319207 -EX_pi(e) pi[e] <=> 0.325191 -AKGDH akg[c] + coa[c] + nad[c] -> co2[c] + nadh[c] + succoa[c] 0.342624 -H2Ot h2o[e] <=> h2o[c] 0.371379 -PIt2r h[e] + pi[e] <=> h[c] + pi[c] 0.488194 -EX_for(e) for[e] -> 0.488894 -ACALD acald[c] + coa[c] + nad[c] <=> accoa[c] + h[c] + nadh[c] 0.537667 -MALt2_2 2 h[e] + mal-L[e] -> 2 h[c] + mal-L[c] 0.552527 -G6PDH2r g6p[c] + nadp[c] <=> 6pgl[c] + h[c] + nadph[c] 0.627707 -EX_acald(e) acald[e] -> 0.671497 -RPI r5p[c] <=> ru5p-D[c] 0.696624 -CS accoa[c] + h2o[c] + oaa[c] -> cit[c] + coa[c] + h[c] 0.714743 -EX_co2(e) co2[e] <=> 0.717239 -TKT1 r5p[c] + xu5p-D[c] <=> g3p[c] + s7p[c] 0.722254 +EX_nh4(e) nh4[e] <=> -2.94428 +ACKr ac[c] + atp[c] <=> actp[c] + adp[c] -2.25885 +FBA fdp[c] <=> dhap[c] + g3p[c] -1.71152 +NADH16 4 h[c] + nadh[c] + q8[c] -> 3 h[e] + nad[c] + q8h2[c] -1.49159 +PGM 2pg[c] <=> 3pg[c] -1.42238 +PGL 6pgl[c] + h2o[c] -> 6pgc[c] + h[c] -1.40227 +ATPM atp[c] + h2o[c] -> adp[c] + h[c] + pi[c] -1.34989 +ACt2r ac[e] + h[e] <=> ac[c] + h[c] -1.30769 +GLUDy glu-L[c] + h2o[c] + nadp[c] <=> akg[c] + h[c] + nadph[c] + nh4[c] -1.21412 +EX_akg(e) akg[e] -> -1.20749 +SUCOAS atp[c] + coa[c] + succ[c] <=> adp[c] + pi[c] + succoa[c] -1.16584 +TALA g3p[c] + s7p[c] <=> e4p[c] + f6p[c] -1.14795 +EX_h2o(e) h2o[e] <=> -1.14707 +GLUN gln-L[c] + h2o[c] -> glu-L[c] + nh4[c] -1.1135 +LDH_D lac-D[c] + nad[c] <=> h[c] + nadh[c] + pyr[c] -1.08906 +EX_lac_D(e) lac-D[e] -> -1.06887 +NH4t nh4[e] <=> nh4[c] -1.06158 +FRUpts2 fru[e] + pep[c] -> f6p[c] + pyr[c] -0.86488 +GLNS atp[c] + glu-L[c] + nh4[c] -> adp[c] + gln-L[c] + h[c] + pi[c] -0.863653 +EX_mal_L(e) mal-L[e] -> -0.809499 +RPE ru5p-D[c] <=> xu5p-D[c] -0.804466 +EX_glu_L(e) glu-L[e] -> -0.787283 +GND 6pgc[c] + nadp[c] -> co2[c] + nadph[c] + ru5p-D[c] -0.769666 +PGK 3pg[c] + atp[c] <=> 13dpg[c] + adp[c] -0.764849 +EX_pyr(e) pyr[e] -> -0.754928 +NADTRHD nad[c] + nadph[c] -> nadh[c] + nadp[c] -0.742302 +TPI dhap[c] <=> g3p[c] -0.666891 +PDH coa[c] + nad[c] + pyr[c] -> accoa[c] + co2[c] + nadh[c] -0.615602 +ADK1 amp[c] + atp[c] <=> 2 adp[c] -0.433592 +EX_glc(e) glc-D[e] <=> -0.303441 +SUCCt3 h[e] + succ[c] -> h[c] + succ[e] -0.243715 +FORt2 for[e] + h[e] -> for[c] + h[c] -0.241447 +ICDHyr icit[c] + nadp[c] <=> akg[c] + co2[c] + nadph[c] -0.225584 +CYTBD 2 h[c] + 0.5 o2[c] + q8h2[c] -> h2o[c] + 2 h[e] + q8[c] -0.204966 +PPCK atp[c] + oaa[c] -> adp[c] + co2[c] + pep[c] -0.196053 +PFL coa[c] + pyr[c] -> accoa[c] + for[c] -0.192419 +PPC co2[c] + h2o[c] + pep[c] -> h[c] + oaa[c] + pi[c] -0.177375 +FUMt2_2 fum[e] + 2 h[e] -> fum[c] + 2 h[c] -0.164879 +D_LACt2 h[e] + lac-D[e] <=> h[c] + lac-D[c] -0.124144 +FBP fdp[c] + h2o[c] -> f6p[c] + pi[c] -0.102242 +CO2t co2[e] <=> co2[c] -0.0630549 +FUM fum[c] + h2o[c] <=> mal-L[c] -0.0300513 +GLUSy akg[c] + gln-L[c] + h[c] + nadph[c] -> 2 glu-L[c] + nadp[c] -0.00684933 +MALS accoa[c] + glx[c] + h2o[c] -> coa[c] + h[c] + mal-L[c] 0.0325575 +GLNabc atp[c] + gln-L[e] + h2o[c] -> adp[c] + gln-L[c] + h[c] + pi[c] 0.0773591 +ME2 mal-L[c] + nadp[c] -> co2[c] + nadph[c] + pyr[c] 0.0859311 +THD2 2 h[e] + nadh[c] + nadp[c] -> 2 h[c] + nad[c] + nadph[c] 0.104875 +PYK adp[c] + h[c] + pep[c] -> atp[c] + pyr[c] 0.197811 +SUCDi q8[c] + succ[c] -> fum[c] + q8h2[c] 0.21567 +PTAr accoa[c] + pi[c] <=> actp[c] + coa[c] 0.291584 +EX_gln_L(e) gln-L[e] -> 0.293871 +FRD7 fum[c] + q8h2[c] -> q8[c] + succ[c] 0.312859 +ACONTb acon-C[c] + h2o[c] <=> icit[c] 0.318765 +FORti for[c] -> for[e] 0.319207 +EX_pi(e) pi[e] <=> 0.325191 +AKGDH akg[c] + coa[c] + nad[c] -> co2[c] + nadh[c] + succoa[c] 0.342624 +H2Ot h2o[e] <=> h2o[c] 0.371379 +PIt2r h[e] + pi[e] <=> h[c] + pi[c] 0.488194 +EX_for(e) for[e] -> 0.488894 +ACALD acald[c] + coa[c] + nad[c] <=> accoa[c] + h[c] + nadh[c] 0.537667 +MALt2_2 2 h[e] + mal-L[e] -> 2 h[c] + mal-L[c] 0.552527 +G6PDH2r g6p[c] + nadp[c] <=> 6pgl[c] + h[c] + nadph[c] 0.627707 +EX_acald(e) acald[e] -> 0.671497 +RPI r5p[c] <=> ru5p-D[c] 0.696624 +CS accoa[c] + h2o[c] + oaa[c] -> cit[c] + coa[c] + h[c] 0.714743 +EX_co2(e) co2[e] <=> 0.717239 +TKT1 r5p[c] + xu5p-D[c] <=> g3p[c] + s7p[c] 0.722254 Biomass_Ecoli_core_w_GAM 1.496 3pg[c] + 3.7478 accoa[c] + 59.81 atp[c] + 0.361 e4p[c] + 0.0709 f6p[c] + 0.129 g3p[c] + 0.205 g6p[c] + 0.2557 gln-L[c] + 4.9414 glu-L[c] + 59.81 h2o[c] + 3.547 nad[c] + 13.0279 nadph[c] + 1.7867 oaa[c] + 0.5191 pep[c] + 2.8328 pyr[c] + 0.8977 r5p[c] -> 59.81 adp[c] + 4.1182 akg[c] + 3.7478 coa[c] + 59.81 h[c] + 3.547 nadh[c] + 13.0279 nadp[c] + 59.81 pi[c] 0.725404 -EX_fum(e) fum[e] -> 0.726885 -PFK atp[c] + f6p[c] -> adp[c] + fdp[c] + h[c] 0.748077 -SUCCt2_2 2 h[e] + succ[e] -> 2 h[c] + succ[c] 0.835088 -ACONTa cit[c] <=> acon-C[c] + h2o[c] 0.862173 -EX_h(e) h[e] <=> 0.888396 -PGI g6p[c] <=> f6p[c] 0.88861 -EX_fru(e) fru[e] -> 1.03469 -GAPD g3p[c] + nad[c] + pi[c] <=> 13dpg[c] + h[c] + nadh[c] 1.09327 -MDH mal-L[c] + nad[c] <=> h[c] + nadh[c] + oaa[c] 1.10061 -GLCpts glc-D[e] + pep[c] -> g6p[c] + pyr[c] 1.10927 -ICL icit[c] -> glx[c] + succ[c] 1.11736 -EX_succ(e) succ[e] -> 1.3703 -ETOHt2r etoh[e] + h[e] <=> etoh[c] + h[c] 1.40903 -EX_ac(e) ac[e] -> 1.41719 -PPS atp[c] + h2o[c] + pyr[c] -> amp[c] + 2 h[c] + pep[c] + pi[c] 1.41931 -EX_o2(e) o2[e] <=> 1.43838 -ENO 2pg[c] <=> h2o[c] + pep[c] 1.4897 -GLUt2r glu-L[e] + h[e] <=> glu-L[c] + h[c] 1.53263 -ME1 mal-L[c] + nad[c] -> co2[c] + nadh[c] + pyr[c] 1.54421 -PYRt2r h[e] + pyr[e] <=> h[c] + pyr[c] 1.5877 -EX_etoh(e) etoh[e] -> 1.63024 -ACALDt acald[e] <=> acald[c] 1.83389 -O2t o2[e] <=> o2[c] 2.35046 -TKT2 e4p[c] + xu5p-D[c] <=> f6p[c] + g3p[c] 2.58549 -ALCD2x etoh[c] + nad[c] <=> acald[c] + h[c] + nadh[c] 2.76944 -ATPS4r adp[c] + 4 h[e] + pi[c] <=> atp[c] + h2o[c] + 3 h[c] 3.03492 -AKGt2r akg[e] + h[e] <=> akg[c] + h[c] 3.5784 +EX_fum(e) fum[e] -> 0.726885 +PFK atp[c] + f6p[c] -> adp[c] + fdp[c] + h[c] 0.748077 +SUCCt2_2 2 h[e] + succ[e] -> 2 h[c] + succ[c] 0.835088 +ACONTa cit[c] <=> acon-C[c] + h2o[c] 0.862173 +EX_h(e) h[e] <=> 0.888396 +PGI g6p[c] <=> f6p[c] 0.88861 +EX_fru(e) fru[e] -> 1.03469 +GAPD g3p[c] + nad[c] + pi[c] <=> 13dpg[c] + h[c] + nadh[c] 1.09327 +MDH mal-L[c] + nad[c] <=> h[c] + nadh[c] + oaa[c] 1.10061 +GLCpts glc-D[e] + pep[c] -> g6p[c] + pyr[c] 1.10927 +ICL icit[c] -> glx[c] + succ[c] 1.11736 +EX_succ(e) succ[e] -> 1.3703 +ETOHt2r etoh[e] + h[e] <=> etoh[c] + h[c] 1.40903 +EX_ac(e) ac[e] -> 1.41719 +PPS atp[c] + h2o[c] + pyr[c] -> amp[c] + 2 h[c] + pep[c] + pi[c] 1.41931 +EX_o2(e) o2[e] <=> 1.43838 +ENO 2pg[c] <=> h2o[c] + pep[c] 1.4897 +GLUt2r glu-L[e] + h[e] <=> glu-L[c] + h[c] 1.53263 +ME1 mal-L[c] + nad[c] -> co2[c] + nadh[c] + pyr[c] 1.54421 +PYRt2r h[e] + pyr[e] <=> h[c] + pyr[c] 1.5877 +EX_etoh(e) etoh[e] -> 1.63024 +ACALDt acald[e] <=> acald[c] 1.83389 +O2t o2[e] <=> o2[c] 2.35046 +TKT2 e4p[c] + xu5p-D[c] <=> f6p[c] + g3p[c] 2.58549 +ALCD2x etoh[c] + nad[c] <=> acald[c] + h[c] + nadh[c] 2.76944 +ATPS4r adp[c] + 4 h[e] + pi[c] <=> atp[c] + h2o[c] + 3 h[c] 3.03492 +AKGt2r akg[e] + h[e] <=> akg[c] + h[c] 3.5784 From 2c3e2382e6f4022d48686a70a06dc69e23049ec6 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Wed, 22 Nov 2023 14:54:30 +0000 Subject: [PATCH 24/51] Update printFluxVector.m --- src/analysis/exploration/printFluxVector.m | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/analysis/exploration/printFluxVector.m b/src/analysis/exploration/printFluxVector.m index 3114a2a9c0..cb66df399e 100644 --- a/src/analysis/exploration/printFluxVector.m +++ b/src/analysis/exploration/printFluxVector.m @@ -20,8 +20,7 @@ function printFluxVector(model, fluxData, nonZeroFlag, excFlag, sortCol, fileNam % % .. Authors: -% - Markus Herrgard, Ronan Fleming -% - Farid Zare 21/11/2023 Corrected outputing multiple rxn names +% - Markus Herrgard, Ronan Fleming if isempty(fluxData) return @@ -71,6 +70,7 @@ function printFluxVector(model, fluxData, nonZeroFlag, excFlag, sortCol, fileNam % Add reaction formulas if formulaFlag if nonZeroFlag + labels = [model.rxns,model.rxns]; %only generate the formulas for the nonzero entries labels(bool,end+1) = printRxnFormula(model, labels(bool), false, false); else From 8fa240100453233b0bf37178cf76160271bc6156 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Wed, 22 Nov 2023 14:56:45 +0000 Subject: [PATCH 25/51] Update testPrintFluxVector.m --- .../analysis/testPrint/testPrintFluxVector.m | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m b/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m index 2b570ea525..77a2bc2aef 100644 --- a/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m +++ b/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m @@ -6,7 +6,6 @@ % % Authors: % - Sylvain Arreckx March 2017 -% - Farid Zare 21/11/2023 old file deleted, A success message is added % global CBTDIR @@ -34,16 +33,10 @@ printFluxVector(model, flux); diary off -%Initialize the test -fprintf(' -- Running testPrintFluxVector.m:'); - text1 = importdata('refData_printFluxVector.txt'); text2 = importdata('printFluxVector.txt'); assert(isequal(text1, text2)); -% remove the old file -delete('printFluxVector.txt'); - printFluxVector(model, flux, true, false, 1, 'printFluxVector.txt', [], true); text1 = importdata('refData_printFluxVectorFormula.txt'); text2 = importdata('printFluxVector.txt'); @@ -52,8 +45,5 @@ % remove the generated file delete('printFluxVector.txt'); -% output a success message -fprintf('... Done.\n'); - % change the directory cd(currentDir) From 6686d355e181322c7d82999b239faac4d61b1682 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Wed, 22 Nov 2023 14:58:36 +0000 Subject: [PATCH 26/51] Update testCheckModelPreFBA.m --- .../analysis/testFBA/testCheckModelPreFBA.m | 67 +++---------------- 1 file changed, 11 insertions(+), 56 deletions(-) diff --git a/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m b/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m index 428c7a5828..2c85907f7a 100644 --- a/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m +++ b/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m @@ -1,60 +1,15 @@ -% The COBRAToolbox: testcheckModelPreFBA.m -% -% Purpose: -% - testcheckModelPreFBA tests the functionality of checkModelPreFBA.m -% function -% -% Authors: -% - Ronan Fleming 06/11/2020 -% - Farid Zare: 21/11/2023 Revised the code -% - -global CBTDIR - -% define the required solvers -requiredSolvers = {'needsLP', 'matlab'}; - -% check if the specified requirements are fullfilled -solvers = prepareTest('needsLP', true); - -% save the current path and initialize the test -currentDir = cd(fileparts(which(mfilename))); - -% determine the test path for references -testPath = pwd; - -%Load Recon3DModel -model = getDistributedModel('Recon3DModel_301.mat'); - -%Find the internal reaction subset of the network -printLevel = -1; -model = findSExRxnInd(model,[],printLevel); - -%Make an inconsistent model by adding an isolated metabolite -incModel = getDistributedModel('ecoli_core_model.mat'); -incModel = addExchangeRxn(incModel, 'isolatedMet', -10, 0); - -%Initialize the test -param.printLevel = 0; +%test checkModelPreFBA(model,param) +if ~exist('model','var') + load 'Recon3DModel_301.mat' +end +printLevel=0; -for k = 1:length(solvers.LP) - solverLPOK = changeCobraSolver(solvers.LP{k}, 'LP', 0); - if solverLPOK - fprintf(' -- Running testcheckModelPreFBA.m using the solver interface: %s ... ', solvers.LP{k}); - %Recon3DModel_301, with open external reactions, is flux and - %stoichiometrically consistent, so check should be positive - isConsistent = checkModelPreFBA(model, param); - assert(isConsistent) +model = findSExRxnInd(model,[],printLevel-1); - %The model containing only external reactions is flux and - %stoichiometrically inconsistent, so output must be zero - isConsistent = checkModelPreFBA(incModel, param); - assert(~isConsistent) +N = model.S(:,model.SIntRxnBool); - % output a success message - fprintf('Done.\n'); - end -end +%Recon3DModel_301, with open external reactions, is flux and +%stoichiometrically consistent, so check should be positive +isConsistent = checkModelPreFBA(model,param); -% change the directory -cd(currentDir) +assert(isConsistent) From 0a047de56f834ca560a9a9eb0998e54b32b12d67 Mon Sep 17 00:00:00 2001 From: rosieluo2021 Date: Wed, 22 Nov 2023 17:41:09 +0000 Subject: [PATCH 27/51] Fixing bugs for testChangeCobraSolverm and testMergeTwoModelsm --- src/reconstruction/refinement/mergeTwoModels.m | 8 ++++---- .../base/testSolvers/testChangeCobraSolver.m | 10 ++++++++-- 2 files changed, 12 insertions(+), 6 deletions(-) diff --git a/src/reconstruction/refinement/mergeTwoModels.m b/src/reconstruction/refinement/mergeTwoModels.m index fca791dad2..8419f67ac1 100644 --- a/src/reconstruction/refinement/mergeTwoModels.m +++ b/src/reconstruction/refinement/mergeTwoModels.m @@ -160,10 +160,10 @@ %Check, that there are no duplicated IDs in the primary key fields. ureacs = unique(modelNew.rxns); -% if ~(numel(modelNew.rxns) == numel(ureacs)) -% error(['The following reactions were present in both models but had distinct stoichiometries:\n',... -% strjoin(ureacs(cellfun(@(x) sum(ismember(modelNew.rxns,x)) > 1,ureacs)),', ')]); -% end +if ~(numel(modelNew.rxns) == numel(ureacs)) + error(['The following reactions were present in both models but had distinct stoichiometries:\n',... + strjoin(ureacs(cellfun(@(x) sum(ismember(modelNew.rxns,x)) > 1,ureacs)),', ')]); +end if mergeGenes && (isfield(model1,'rxnGeneMat') || isfield(model2, 'rxnGeneMat')) %recreating the rxnGeneMat diff --git a/test/verifiedTests/base/testSolvers/testChangeCobraSolver.m b/test/verifiedTests/base/testSolvers/testChangeCobraSolver.m index 4fe5c11df9..9acb2ebc68 100644 --- a/test/verifiedTests/base/testSolvers/testChangeCobraSolver.m +++ b/test/verifiedTests/base/testSolvers/testChangeCobraSolver.m @@ -16,19 +16,25 @@ cd(fileDir); % Three arguments -ok = changeCobraSolver('pdco', 'MINLP', 0); -assert(ok == false); +if any(ismember('MINLP',OPT_PROB_TYPES)) + ok = changeCobraSolver('pdco', 'MINLP', 0); + assert(ok == false); +else + fprintf('There is no MINLP in opt problem types') +end ok = changeCobraSolver('pdco', 'LP', 0); assert(ok == true); global CBT_LP_SOLVER assert(strcmp(CBT_LP_SOLVER, 'pdco')) +if any(ismember('MINLP',OPT_PROB_TYPES)) global CBT_MINLP_SOLVER CBT_MINLP_SOLVER = []; ok = changeCobraSolver('pdco', 'MINLP', 0); assert(ok == false); assert(isempty(CBT_MINLP_SOLVER)) +end try ok = changeCobraSolver('gurobi_mex', 'MILP', 1); From d78688731a80a6aeb85b5246a635bd0764a7c0e8 Mon Sep 17 00:00:00 2001 From: Hadjar_Rahou Date: Mon, 27 Nov 2023 11:29:57 +0000 Subject: [PATCH 28/51] Fixing a bug where ATN does not match the reference --- .../analysis/testTopology/testMoieties.m | 20 ++++++++++++++++--- 1 file changed, 17 insertions(+), 3 deletions(-) diff --git a/test/verifiedTests/analysis/testTopology/testMoieties.m b/test/verifiedTests/analysis/testTopology/testMoieties.m index b59245c8f6..1474d5ad88 100644 --- a/test/verifiedTests/analysis/testTopology/testMoieties.m +++ b/test/verifiedTests/analysis/testTopology/testMoieties.m @@ -94,11 +94,25 @@ [dATM, metAtomMappedBool, rxnAtomMappedBool, M2A, Ti2R] = buildAtomTransitionMultigraph(model, rxnfileDir, options); A = incidence(dATM); - +%New Hadjar (matlab changes the order of the tables) +ATN = buildAtomTransitionNetwork(model, rxnfileDir); %Already checked that ATN==ATN0 +s=zeros(size(ATN.A,2),1); +t=zeros(size(ATN.A,2),1); +for i=1:size(ATN.A,2) + s(i)=find(ATN.A(:,i)==-1); + t(i)=find(ATN.A(:,i)==1); +end +EdgeTable = table([s t],ATN.atrans,ATN.rxns,'VariableNames',{'EndNodes' 'Trans' 'rxns'}); +NodeTable = table(ATN.atoms,ATN.mets,ATN.atns,ATN.elements,'VariableNames',{'Atom' 'mets' 'AtomNumber' 'Element'}); +GATN=digraph(EdgeTable,NodeTable); +%p = isomorphism(GATN,dATM); %After testing whether it is isomorphic, it can be used to permute the nodes of the graph + %check that the incidence matrices are the same, taking into account %the reordering of edges by the digraph function - assert(all(all(A == ATN0.A(:,dATM.Edges.OrigTransInstIndex))), 'Atom transition network does not match reference.') - + %assert(all(all(A == ATN0.A(:,dATM.Edges.OrigTransInstIndex))), 'Atom transition network does not match reference.') + %assert(all(all(A == ATN0.A(:,dATM.Edges.TransInstIndex))), 'Atom + %transition network does not match reference.') % Hadjar: It's not a good idea to directly compare incidence matrices because MATLAB may change the order of edges + assert( isisomorphic(dATM,GATN,'EdgeVariables','Trans'), 'Atom transition network does not match reference.') if 0 %TODO, currently this is incompatible with classifyMoieties %test addition of fake reaction to model, that is not atom mapped From 429d3b68897e12f5ef2de7ddf725de4fa01c1f8c Mon Sep 17 00:00:00 2001 From: Almut Heinken Date: Tue, 28 Nov 2023 22:29:51 +0100 Subject: [PATCH 29/51] Added option to create boxplots in mgPipe --- .../additionalAnalysis/analyzeMgPipeResults.m | 13 +++- .../additionalAnalysis/makeViolinPlots.m | 64 ++++++++++++++----- .../performStatisticalAnalysis.m | 10 ++- .../microbiomeModelingToolbox/mgPipe/mgPipe.m | 2 - 4 files changed, 69 insertions(+), 20 deletions(-) mode change 100644 => 100755 src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/makeViolinPlots.m diff --git a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/analyzeMgPipeResults.m b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/analyzeMgPipeResults.m index 54504a7449..8bfadd3f13 100755 --- a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/analyzeMgPipeResults.m +++ b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/analyzeMgPipeResults.m @@ -22,10 +22,13 @@ function analyzeMgPipeResults(infoFilePath,resPath,varargin) % statistical analysis are saved % violinPath: char with path of directory where violin plots are % saved +% plotType Type of plot to be created: violin plot (default) +% or boxplot. Allowed entries: "ViolinPlot","Boxplot" % sampleGroupHeaders list of one or more column headers in file with the % sample information that should be analyzed % (e.g., disease status, age). If not provided, the % second column will be used. +% % % .. Author: Almut Heinken, 12/2020 @@ -34,6 +37,7 @@ function analyzeMgPipeResults(infoFilePath,resPath,varargin) parser.addRequired('resPath', @ischar); parser.addParameter('statPath', [pwd filesep 'Statistics'], @ischar); parser.addParameter('violinPath', [pwd filesep 'ViolinPlots'], @ischar); +parser.addParameter('plotType', 'ViolinPlot', @ischar); parser.addParameter('sampleGroupHeaders', '', @iscellstr); parser.parse(infoFilePath, resPath, varargin{:}); @@ -42,8 +46,13 @@ function analyzeMgPipeResults(infoFilePath,resPath,varargin) resPath = parser.Results.resPath; statPath = parser.Results.statPath; violinPath = parser.Results.violinPath; +plotType = parser.Results.plotType; sampleGroupHeaders = parser.Results.sampleGroupHeaders; +if ~any(strcmp(plotType,{'ViolinPlot','Boxplot'})) + error('Invalid entry for plot type!') +end + % create the folders mkdir(statPath) mkdir(violinPath) @@ -108,13 +117,13 @@ function analyzeMgPipeResults(infoFilePath,resPath,varargin) writetable(cell2table(significantFeatures),[statPath filesep filename '_' sampleGroupHeaders{j} '_SignificantFeatures'],'FileType','text','WriteVariableNames',false,'Delimiter','tab'); end - % create violin plots + % create plots currentDir=pwd; cd(violinPath) % create violin plots for net uptake and secretion files if any(contains(fileList{i,1},{'net_uptake_fluxes.csv','net_secretion_fluxes.csv'})) - makeViolinPlots(sampleData, infoFile, 'stratification',sampleGroupHeaders{j}, 'plottedFeature', filename, 'unit', 'mmol/person/day') + makeViolinPlots(sampleData, infoFile, 'stratification',sampleGroupHeaders{j}, 'plotType' , plotType, 'plottedFeature', filename, 'unit', 'mmol/person/day') end cd(currentDir) end diff --git a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/makeViolinPlots.m b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/makeViolinPlots.m old mode 100644 new mode 100755 index a3e4463fac..cd0094afa6 --- a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/makeViolinPlots.m +++ b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/makeViolinPlots.m @@ -13,8 +13,10 @@ function makeViolinPlots(sampleData, sampleInformation, varargin) % stratification Column header containing the desired group % classification in sampleInformation table. If not % provided, the second column will be used. +% plotType Type of plot to be created: violin plot (default) or +% boxplot. Allowed entries: "ViolinPlot","Boxplot" % plottedFeature Name of the feature to plot that will be displayed -% as the plot title (e.g., 'Fluxes') +% as the plot title (e.g., 'Flux"es') % unit Unit of the plotted data that will be displayed as % the y axis label (e.g., mmol/person/day) % @@ -24,6 +26,7 @@ function makeViolinPlots(sampleData, sampleInformation, varargin) parser = inputParser(); parser.addRequired('sampleData', @iscell); parser.addRequired('sampleInformation', @iscell); +parser.addParameter('plotType', 'ViolinPlot', @ischar); parser.addParameter('stratification', '', @ischar); parser.addParameter('plottedFeature', '', @ischar); parser.addParameter('unit', '', @ischar); @@ -32,6 +35,7 @@ function makeViolinPlots(sampleData, sampleInformation, varargin) sampleData = parser.Results.sampleData; sampleInformation = parser.Results.sampleInformation; +plotType = parser.Results.plotType; stratification = parser.Results.stratification; plottedFeature = parser.Results.plottedFeature; unit = parser.Results.unit; @@ -57,10 +61,29 @@ function makeViolinPlots(sampleData, sampleInformation, varargin) end sampleData(delArray,:)=[]; -% use for violin plots +sampleStratification = {}; for i=2:size(sampleData,2) sampleStratification{i-1,1}=sampleInformation{find(strcmp(sampleInformation(:,1),sampleData{1,i})),stratCol}; end + +% define colors for boxplots +if strcmp(plotType,'Boxplot') + groups = unique(sampleStratification); + if length(groups)==2 + cols =[1 0 0 + 0 0 1]; + elseif length(groups)==3 + cols =[0 1 0 + 1 0 0 + 0 0 1]; + else + cols = []; + for j=1:length(groups) + cols(j,:)=[rand rand rand]; + end + end +end + for i=2:size(sampleData,1) % get the predicted metabolite varname=strrep(sampleData{i,1},'EX_',''); @@ -68,7 +91,7 @@ function makeViolinPlots(sampleData, sampleInformation, varargin) if ~isempty(find(strcmp(database.metabolites(:,1),varname))) varname=database.metabolites{find(strcmp(database.metabolites(:,1),varname)),2}; end - % plot the violins + % create plots % if there are nonzero values in each stratification group and the % values aren't all the same strats=unique(sampleStratification); @@ -82,31 +105,42 @@ function makeViolinPlots(sampleData, sampleInformation, varargin) for j=1:length(strats) valsinstrat(j)=sum(plotdata(find(strcmp(sampleStratification,strats{j})))); uniquevals(j)=numel(unique(plotdata(find(strcmp(sampleStratification,strats{j}))))); + % workaround if all values in one category are zero + if abs(valsinstrat(j))<0.0000001 + plotdata(find(strcmp(sampleStratification,strats{j}))) = 0.0000001; + end end - if ~any(valsinstrat<0.0000001) && ~any(uniquevals<2) + + if ~any(uniquevals<2) figure hold on - violinplot(plotdata,sampleStratification); + if strcmp(plotType,'ViolinPlot') + violinplot(plotdata,sampleStratification); + elseif strcmp(plotType,'Boxplot') + boxplot(plotdata,sampleStratification) + h = findobj(gca,'Tag','Box'); + for j=1:length(h) + patch(get(h(j),'XData'),get(h(j),'YData'),cols(j,:),'FaceAlpha',.5); + end + else + error('Invalid entry for plot type!') + end if length(strats) > 3 - set(gca, 'FontSize', 12) + set(gca, 'FontSize', 10) else - set(gca, 'FontSize', 14) + set(gca, 'FontSize', 16) end if length(strats) > 6 xtickangle(45) end - if contains(version,'(R202') % for Matlab R2020a and newer - ylim([0 max(max(cell2mat(sampleData(i,2:end))))]) - else - ylim([0 max(max(str2double(sampleData(i,2:end))))]) - end + ylim([min(plotdata) max(plotdata)]) if ~isempty(unit) h=ylabel(unit); set(h,'interpreter','none') end - h=title(varname,'FontSize',14); + h=title(varname,'FontSize',16,'FontWeight','bold'); set(h,'interpreter','none') set(gca,'TickLabelInterpreter','none') filename=strrep(varname,' ','_'); @@ -118,12 +152,12 @@ function makeViolinPlots(sampleData, sampleInformation, varargin) filename=strrep(filename,'/','_'); filename=strrep(filename,'___','_'); filename=strrep(filename,'__','_'); - + % some filenames may be too long if length(filename)>25 filename=filename(1:25); end - + if ~isempty(plottedFeature) featName=[strrep(plottedFeature,' ','_') '_']; else diff --git a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m index 8e66db1617..c0620f477b 100755 --- a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m +++ b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m @@ -116,6 +116,13 @@ dataAll=str2double(sampleData(i,2:end)); end + % remove fluxes under the solver limit + for j=1:length(dataAll) + if abs(dataAll(j)) < 0.0000000001 + dataAll(j) = 0; + end + end + % separate data by group for j=1:length(groups) dataGrouped{j}=dataAll'; @@ -185,7 +192,8 @@ nsMets={}; cnt=1; for i=2:size(Statistics,1) - if Statistics{i,5}==0 + if Statistics{i,3}>=0.05 || isnan(Statistics{i,3}) +% if Statistics{i,5}==0 nsMets{cnt,1}=Statistics{i,1}; cnt=cnt+1; end diff --git a/src/analysis/multiSpecies/microbiomeModelingToolbox/mgPipe/mgPipe.m b/src/analysis/multiSpecies/microbiomeModelingToolbox/mgPipe/mgPipe.m index 6078b74a35..b6ed096307 100644 --- a/src/analysis/multiSpecies/microbiomeModelingToolbox/mgPipe/mgPipe.m +++ b/src/analysis/multiSpecies/microbiomeModelingToolbox/mgPipe/mgPipe.m @@ -295,8 +295,6 @@ modelNames{i}=['microbiota_model_samp_' sampNames{i}]; end -close all - if ~isempty(infoFilePath) [modelStats,summary,statistics]=retrieveModelStats(resPath, modelNames, abunFilePath, numWorkers, infoFilePath); else From 4d02c6f7553d9a3de5dc56511e49c360fa7c3cc1 Mon Sep 17 00:00:00 2001 From: Almut Heinken Date: Tue, 28 Nov 2023 23:02:46 +0100 Subject: [PATCH 30/51] Added option to create boxplots in mgPipe --- .../additionalAnalysis/performStatisticalAnalysis.m | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m index c0620f477b..09b7823e9e 100755 --- a/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m +++ b/src/analysis/multiSpecies/microbiomeModelingToolbox/additionalAnalysis/performStatisticalAnalysis.m @@ -192,8 +192,7 @@ nsMets={}; cnt=1; for i=2:size(Statistics,1) - if Statistics{i,3}>=0.05 || isnan(Statistics{i,3}) -% if Statistics{i,5}==0 + if Statistics{i,5}==0 nsMets{cnt,1}=Statistics{i,1}; cnt=cnt+1; end From b5f0a6dd8aebe4211938e386b3e0413adf887a8c Mon Sep 17 00:00:00 2001 From: Yanjun Date: Wed, 29 Nov 2023 15:08:10 +0000 Subject: [PATCH 31/51] new function for eshcer map --- src/visualization/EscherMap/flux2json.m | 96 ++++++++++++++++++++++ src/visualization/EscherMap/model2escher.m | 17 ++++ 2 files changed, 113 insertions(+) create mode 100644 src/visualization/EscherMap/flux2json.m create mode 100644 src/visualization/EscherMap/model2escher.m diff --git a/src/visualization/EscherMap/flux2json.m b/src/visualization/EscherMap/flux2json.m new file mode 100644 index 0000000000..f7b4d70b32 --- /dev/null +++ b/src/visualization/EscherMap/flux2json.m @@ -0,0 +1,96 @@ +function flux2json(model,FBAtype,outputFolder) +%This function print predicted fluxes to a json file used +%for escher map. The json file generated here could be directly used in EshcerMap https://escher.github.io/#/ +%to visualise the flux distribution +% + +% INPUT +% model: (the following fields are required - others can be supplied) +% +% * S - `m x n` Stoichiometric matrix +% * c - `n x 1` Linear objective coefficients +% * lb - `n x 1` Lower bounds on net flux +% * ub - `n x 1` Upper bounds on net flux +% * mets - `m x 1` Metabolite IDs +% * rxns - `n x 1` Reaction IDs + +% FBAtype: 'FBA' or 'EFBA' +% outputFolder: + + +% OUTPUT +% A json file + +% .. Author: Yanjun Liu 26/04/2023 + +if ~exist("model", 'var') + error('Input is missing') +end + +if exist('FBAtype','var') + switch FBAtype + case 'FBA' + solution = optimizeCbModel(model); + case 'EFBA' + param.solver = 'mosek'; + param.printLevel = 0; + param = mosekParamSetEFBA(param); + solution = entropicFluxBalanceAnalysis(model,param); + end +end + +if ~exist('outputFilename','var') + outputFolder = pwd; + %outputFilename = [outputFilename filesep 'flux.json']; +end + +rxns = model.rxns; +rxnNames = model.rxnNames; +flux = solution.v; + +T = table(rxns,rxnNames,flux); + + + + +% Extract the key-value pairs from the data +keys = table2array(T(:,1)); +values = table2array(T(:,3)); + +% Convert the key-value pairs to a struct +jsonStruct = struct; +for i = 1:numel(keys) + key = keys{i}; + value = values(i); + try + jsonStruct.(key) = value; + catch + if contains(key,'[') + key = regexprep(key,'[\w\*]',''); + elseif contains(key,'-') + key = regexprep(key,'-',''); + + else + key = ['x_',key]; + jsonStruct.(key) = value; + end + + end +end +% Convert the struct to JSON format +jsonString = jsonencode(jsonStruct); + +% Write the JSON string to a file +fid = fopen([outputFolder filesep 'data.json'], 'w'); +if fid == -1 + error('Could not open file for writing'); +end +fwrite(fid, jsonString, 'char'); +fclose(fid); + + + +end + + + diff --git a/src/visualization/EscherMap/model2escher.m b/src/visualization/EscherMap/model2escher.m new file mode 100644 index 0000000000..dda163310e --- /dev/null +++ b/src/visualization/EscherMap/model2escher.m @@ -0,0 +1,17 @@ +function [model] = model2escher(model) +% this function prepare the model to draw escher map +% +% EscherMap only accept model in Json format. Some reaction IDs in Recon3D +% are started with number,which generating issue when converted into Json +% file. The function here add 'A_' to the reaction IDs starting with number + +% Yanjun Liu Nov,2023 + +tmp = regexp(model.rxns,'^\d'); +bool = ~cellfun(@isempty,tmp); +idxs = find(bool); +for i = 1:length(idxs) + model.rxns{idxs(i)} = ['A_',model.rxns{idxs(i)}]; +end + +model.mets = regexprep(model.mets, '\[(\w+)\]', '_$1'); \ No newline at end of file From 277c6fd2ef736f1321030b28449a15a2f78b8774 Mon Sep 17 00:00:00 2001 From: Samira Ranjbar <83096733+Sami990@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:13:35 +0000 Subject: [PATCH 32/51] Update getFormulaAndChargeFromInChI.m --- .../thermo/inchi/old/getFormulaAndChargeFromInChI.m | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m b/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m index 030065bdaf..156943d015 100644 --- a/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m +++ b/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m @@ -21,7 +21,7 @@ q = {}; if ~isempty(strmatch('q',layers)) - q = layers{strmatch('q',layers)}; % charge + q = layers{strmatch('q',layers)} % charge end if ~isempty(q) @@ -32,16 +32,18 @@ f1_nH = numAtomsOfElementInFormula(f1,'H'); % nH in fully protonated formula if ~isempty(p) - nH = f1_nH + str2double(p(2:end)); % nH in pseudoisomer formula + nH = f1_nH + str2double(p(2:end)); % nH in pseudoisomer formulamulaA else nH = f1_nH; end formula = regexprep(f1,'H[a-z]*[0-9]*',''); % Remove all H from fully protonated formula if nH == 1 - formula = [formula 'H']; + formula = regexprep(formula, '(C\d+)', '$1H'); +% formula =[formula 'H']; elseif nH > 1 - formula = [formula 'H' num2str(nH)]; % Add appropriate nH back in to create pseudoisomer formula + formula = regexprep(formula, '(C\d+)', sprintf('$1H%d', nH)); +% formula = [formula 'H' num2str(nH)]; % Add appropriate nH back in to create pseudoisomer formula elseif nH < 0 error('Negative number of H in formula.') % Should never get here end @@ -55,3 +57,4 @@ end end + From 18c8df672c59c619ee116f331705c00808dbc8c6 Mon Sep 17 00:00:00 2001 From: Samira Ranjbar <83096733+Sami990@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:15:02 +0000 Subject: [PATCH 33/51] Update testFindRxnsFromGenes.m --- .../analysis/testExploration/testFindRxnsFromGenes.m | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m b/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m index d6f065b5ca..4f23f0d7d8 100644 --- a/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m +++ b/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m @@ -46,16 +46,16 @@ % check that result array has correct size and rxns assert(size(geneRxnsArray, 1) == length(rxnInds)) -assert(size(geneRxnsArray, 2) == 5) +assert(size(geneRxnsArray, 2) == 6) assert(isequal(geneRxnsArray(:, 1), model.rxns(rxnInds))) -assert(isequal(geneRxnsArray(:, 5), strcat('gene_', model.genes(geneInd)))) +assert(isequal(geneRxnsArray(:, 6), strcat('gene_', model.genes(geneInd)))) % check that result structure has correct size and rxns for i = 1:length(geneInd) geneRxns = (geneRxnsStruct.(['gene_', model.genes{geneInd(i)}])); rxnInds = find(~cellfun(@isempty, strfind(model.rules, ['x(', num2str(geneInd(i)), ')']))); assert(size(geneRxns, 1) == length(rxnInds)) - assert(size(geneRxns, 2) == 4) + assert(size(geneRxns, 2) == 5) assert(isequal(geneRxns(:, 1), model.rxns(rxnInds))) end From ed841b77a49a7598df712c351cec8fe78f44e42c Mon Sep 17 00:00:00 2001 From: Samira Ranjbar <83096733+Sami990@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:30:53 +0000 Subject: [PATCH 34/51] Update getFormulaAndChargeFromInChI.m --- .../inchi/old/getFormulaAndChargeFromInChI.m | 133 ++++++++++++------ 1 file changed, 90 insertions(+), 43 deletions(-) diff --git a/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m b/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m index 156943d015..3f4e14366d 100644 --- a/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m +++ b/src/analysis/thermo/inchi/old/getFormulaAndChargeFromInChI.m @@ -1,60 +1,107 @@ -function [formula, nH, charge] = getFormulaAndChargeFromInChI(inchi) +function [formula, protons] = getFormulaFromInChI(InChI) +% Extracts the chemical formula of a given compound from +% the InChI string provided +% +% USAGE: +% +% [formula, protons] = getFormulaFromInChI(InChI) +% +% INPUT: +% InChI: The Inchi String of the chemical formula (e.g. InChI= +% extract formula from `InChI = 1S/C3H4O3/c1-2(4)3(5)6/h1H3, (H,5,6)/p-1` for pyruvate +% +% OUTPUTS: +% formula: The chemical formula (including the protonation state +% protons: The total number of protons -% [formula,charge] = getFormulaAndChargeFromInChI(inchi) -% -% INPUT -% inchi.......Nonstandard IUPAC InChI for a particular pseudoisomer of a -% metabolite -% -% OUTPUTS -% formula....The chemical formula for the input pseudoisomer -% charge.....The charge on the input pseudoisomer +%Authors: +% Samira Ranjbar -November 2023 (revise) -layers = regexp(inchi,'/','split'); -f1 = layers{2}; % Fully protonated formula +[token,rem] = strtok(InChI, '/'); +formula=strtok(rem, '/'); -p = {}; -if ~isempty(strmatch('p',layers)) - p = layers{strmatch('p',layers)}; % nH to add or subtract -end +%This could be a composite formula, so combine it. +tokens = strsplit(formula,'.'); -q = {}; -if ~isempty(strmatch('q',layers)) - q = layers{strmatch('q',layers)} % charge +%The protonation state can also modify the formula! To get it, we remove +%any reconstruction fields, as they do not influence it. +InChI = regexprep(InChI,'/r.*',''); +p_layer = regexp(InChI,'/p(.*?)/|/p(.*?)$','tokens'); +protonationProtons = 0; +if ~isempty(p_layer) + individualProtons = cellfun(@(x) {strsplit(x{1},';')},p_layer); + protonationProtons = cellfun(@(x) sum(cellfun(@(y) eval(y) , x)), individualProtons); end -if ~isempty(q) - charge = str2double(q(2:end)); -else - charge = 0; -end +%Calc the coefs for all formulas +if (numel(tokens) > 1) || (~isempty(regexp(formula,'(^[0-9]+)'))) || (~isempty(p_layer)) + CoefLists = cellfun(@(x) calcFormula(x), tokens,'UniformOutput',0); + if ~isempty(p_layer) + %CoefLists = [CoefLists;{{'H';protonationProtons}}];%was crashing + %with formula C62H90N13O14P.Co.H2O + CoefLists{end+1} = {'H';protonationProtons}; + end + %and now, combine them. + Elements = {}; + Coefficients = []; + for i = 1:numel(CoefLists) + if isempty(CoefLists{i}) + %This should only happen, if there was no actual formula. + continue + end + currentForm = CoefLists{i}; + Elements = [Elements,setdiff(currentForm(1,:),Elements)]; + current_coefs = cell2mat(currentForm(2,:)); + [A,B] = ismember(Elements,currentForm(1,:)); + %Extend the coefficients if necessary + Coefficients(end+1:numel(Elements)) = 0; + Coefficients(A) = Coefficients(A)+current_coefs; + end -f1_nH = numAtomsOfElementInFormula(f1,'H'); % nH in fully protonated formula -if ~isempty(p) - nH = f1_nH + str2double(p(2:end)); % nH in pseudoisomer formulamulaA + Coefs = num2cell(Coefficients); + Coefs(cellfun(@(x) x == 1, Coefs)) = {[]}; + Coefs = cellfun(@(x) num2str(x) , Coefs,'UniformOutput',0); + if nargout > 1 + protons = Coefficients(ismember(Elements,'H')); + end + formula = strjoin([Elements , {''}],Coefs); else - nH = f1_nH; + %had to add this for some inchi, e.g. + %InChI=1/C21H30O4/c1-19-8-5-14(23)11-13(19)3-4-15-16(19)6-9-20(2)17(15)7-10-21(20,25)18(24)12-22/h11,15-17,22,25H,3-10,12H2,1-2H3/t15-,16+,17+,19+,20+,21+/m1/s1 + protons = numAtomsOfElementInFormula(formula, 'H',0); end -formula = regexprep(f1,'H[a-z]*[0-9]*',''); % Remove all H from fully protonated formula -if nH == 1 - formula = regexprep(formula, '(C\d+)', '$1H'); -% formula =[formula 'H']; -elseif nH > 1 - formula = regexprep(formula, '(C\d+)', sprintf('$1H%d', nH)); -% formula = [formula 'H' num2str(nH)]; % Add appropriate nH back in to create pseudoisomer formula -elseif nH < 0 - error('Negative number of H in formula.') % Should never get here +zero='0'; +indZero=strfind(formula,zero); +if ~isempty(indZero) + if isletter(formula(indZero-1)) + if 0 + warning('Formula contains a zero with a letter preceeding it, replacing with letter.') + fprintf('%s%s\n','Formula before:, ', formula) + end + formula = strrep(formula, formula(indZero-1:indZero), formula(indZero-1)); + if 0 + fprintf('%s%s\n','Formula after:, ', formula) + end + end end -% In case there is Hg in formula -f1_nHg = numAtomsOfElementInFormula(f1,'Hg'); -if f1_nHg == 1 - formula = [formula 'Hg']; -elseif f1_nHg > 1 - formula = [formula 'Hg' num2str(f1_nHg)]; end + +function [CoefList] = calcFormula(Formula) +multiplier = 1; +isReplicated = regexp(Formula,'(^[0-9]+)','tokens'); +ElementTokens = regexp(Formula,'([A-Z][a-z]?)([0-9]*)','tokens'); +Elements = cellfun(@(x) x{1}, ElementTokens,'UniformOutput',0); +Coefs = cellfun(@(x) str2num(x{2}), ElementTokens,'UniformOutput',0); +Coefs(cellfun(@isempty, Coefs)) = {1}; + +if ~isempty(isReplicated) + multiplier = str2num(isReplicated{1}{1}); + Coefs = cellfun(@(x) x*multiplier, Coefs,'UniformOutput',0); end +CoefList = [Elements;Coefs]; +end From 4b3f39252c21469cdc7ac49a69a14d4227d3a661 Mon Sep 17 00:00:00 2001 From: Samira Ranjbar <83096733+Sami990@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:32:20 +0000 Subject: [PATCH 35/51] Update testFindRxnsFromGenes.m --- .../analysis/testExploration/testFindRxnsFromGenes.m | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m b/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m index 4f23f0d7d8..65f9377fb8 100644 --- a/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m +++ b/test/verifiedTests/analysis/testExploration/testFindRxnsFromGenes.m @@ -5,7 +5,8 @@ % % Authors: % - Original file: Stefania Magnusdottir August 2017 -% +% Samira Ranjbar -November 2023 (revise) + global CBTDIR From b8800fd844c35cb70a97c7bac8276fc16b4e4d4b Mon Sep 17 00:00:00 2001 From: Yanjun Date: Thu, 30 Nov 2023 13:45:25 +0000 Subject: [PATCH 36/51] testPrintConstraintm --- .../testPrint/refData_printConstraints.txt | 198 +++++------------- .../analysis/testPrint/testPrintConstraints.m | 4 +- 2 files changed, 56 insertions(+), 146 deletions(-) diff --git a/test/verifiedTests/analysis/testPrint/refData_printConstraints.txt b/test/verifiedTests/analysis/testPrint/refData_printConstraints.txt index 3e73d63c74..38210963f1 100644 --- a/test/verifiedTests/analysis/testPrint/refData_printConstraints.txt +++ b/test/verifiedTests/analysis/testPrint/refData_printConstraints.txt @@ -1,144 +1,54 @@ -MinConstraints: -ACALD -1000 -ACALDt -1000 -ACKr -1000 -ACONTa -1000 -ACONTb -1000 -ACt2r -1000 -ADK1 -1000 -AKGt2r -1000 -ALCD2x -1000 -ATPM 8.39 -ATPS4r -1000 -CO2t -1000 -D_LACt2 -1000 -ENO -1000 -ETOHt2r -1000 -EX_co2(e) -1000 -EX_glc(e) -10 -EX_h(e) -1000 -EX_h2o(e) -1000 -EX_nh4(e) -1000 -EX_o2(e) -1000 -EX_pi(e) -1000 -FBA -1000 -FUM -1000 -G6PDH2r -1000 -GAPD -1000 -GLUDy -1000 -GLUt2r -1000 -H2Ot -1000 -ICDHyr -1000 -LDH_D -1000 -MDH -1000 -NH4t -1000 -O2t -1000 -PGI -1000 -PGK -1000 -PGM -1000 -PIt2r -1000 -PTAr -1000 -PYRt2r -1000 -RPE -1000 -RPI -1000 -SUCOAS -1000 -TALA -1000 -TKT1 -1000 -TKT2 -1000 -TPI -1000 -maxConstraints: -ACALD 1000 -ACALDt 1000 -ACKr 1000 -ACONTa 1000 -ACONTb 1000 -ACt2r 1000 -ADK1 1000 -AKGDH 1000 -AKGt2r 1000 -ALCD2x 1000 -ATPM 1000 -ATPS4r 1000 -Biomass_Ecoli_core_w_GAM 1000 -CO2t 1000 -CS 1000 -CYTBD 1000 -D_LACt2 1000 -ENO 1000 -ETOHt2r 1000 -EX_ac(e) 1000 -EX_acald(e) 1000 -EX_akg(e) 1000 -EX_co2(e) 1000 -EX_etoh(e) 1000 -EX_for(e) 1000 -EX_fru(e) 1000 -EX_fum(e) 1000 -EX_glc(e) 1000 -EX_gln_L(e) 1000 -EX_glu_L(e) 1000 -EX_h(e) 1000 -EX_h2o(e) 1000 -EX_lac_D(e) 1000 -EX_mal_L(e) 1000 -EX_nh4(e) 1000 -EX_o2(e) 1000 -EX_pi(e) 1000 -EX_pyr(e) 1000 -EX_succ(e) 1000 -FBA 1000 -FBP 1000 -FORt2 1000 -FORti 1000 -FRD7 1000 -FRUpts2 1000 -FUM 1000 -FUMt2_2 1000 -G6PDH2r 1000 -GAPD 1000 -GLCpts 1000 -GLNS 1000 -GLNabc 1000 -GLUDy 1000 -GLUN 1000 -GLUSy 1000 -GLUt2r 1000 -GND 1000 -H2Ot 1000 -ICDHyr 1000 -ICL 1000 -LDH_D 1000 -MALS 1000 -MALt2_2 1000 -MDH 1000 -ME1 1000 -ME2 1000 -NADH16 1000 -NADTRHD 1000 -NH4t 1000 -O2t 1000 -PDH 1000 -PFK 1000 -PFL 1000 -PGI 1000 -PGK 1000 -PGL 1000 -PGM 1000 -PIt2r 1000 -PPC 1000 -PPCK 1000 -PPS 1000 -PTAr 1000 -PYK 1000 -PYRt2r 1000 -RPE 1000 -RPI 1000 -SUCCt2_2 1000 -SUCCt3 1000 -SUCDi 1000 -SUCOAS 1000 -TALA 1000 -THD2 1000 -TKT1 1000 -TKT2 1000 -TPI 1000 + Forward_Reaction, 0 bound Name lb ub equation + ____________________________ _______________________________________________________ __ ____ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ + {'AKGDH' } {'2-Oxoglutarate dehydrogenase' } 0 1000 {'akg[c] + coa[c] + nad[c] -> co2[c] + nadh[c] + succoa[c] ' } + {'Biomass_Ecoli_core_w_GAM'} {'Biomass Objective Function with GAM' } 0 1000 {'1.496 3pg[c] + 3.7478 accoa[c] + 59.81 atp[c] + 0.361 e4p[c] + 0.0709 f6p[c] + 0.129 g3p[c] + 0.205 g6p[c] + 0.2557 gln-L[c] + 4.9414 glu-L[c] + 59.81 h2o[c] + 3.547 nad[c] + 13.0279 nadph[c] + 1.7867 oaa[c] + 0.5191 pep[c] + 2.8328 pyr[c] + 0.8977 r5p[c] -> 59.81 adp[c] + 4.1182 akg[c] + 3.7478 coa[c] + 59.81 h[c] + 3.547 nadh[c] + 13.0279 nadp[c] + 59.81 pi[c] '} + {'CS' } {'citrate synthase' } 0 1000 {'accoa[c] + h2o[c] + oaa[c] -> cit[c] + coa[c] + h[c] ' } + {'CYTBD' } {'cytochrome oxidase bd (ubiquinol-8: 2 protons)' } 0 1000 {'2 h[c] + 0.5 o2[c] + q8h2[c] -> h2o[c] + 2 h[e] + q8[c] ' } + {'EX_ac(e)' } {'Acetate exchange' } 0 1000 {'ac[e] -> ' } + {'EX_acald(e)' } {'Acetaldehyde exchange' } 0 1000 {'acald[e] -> ' } + {'EX_akg(e)' } {'2-Oxoglutarate exchange' } 0 1000 {'akg[e] -> ' } + {'EX_etoh(e)' } {'Ethanol exchange' } 0 1000 {'etoh[e] -> ' } + {'EX_for(e)' } {'Formate exchange' } 0 1000 {'for[e] -> ' } + {'EX_fru(e)' } {'D-Fructose exchange' } 0 1000 {'fru[e] -> ' } + {'EX_fum(e)' } {'Fumarate exchange' } 0 1000 {'fum[e] -> ' } + {'EX_gln_L(e)' } {'L-Glutamine exchange' } 0 1000 {'gln-L[e] -> ' } + {'EX_glu_L(e)' } {'L-Glutamate exchange' } 0 1000 {'glu-L[e] -> ' } + {'EX_lac_D(e)' } {'D-Lactate exchange' } 0 1000 {'lac-D[e] -> ' } + {'EX_mal_L(e)' } {'L-Malate exchange' } 0 1000 {'mal-L[e] -> ' } + {'EX_pyr(e)' } {'Pyruvate exchange' } 0 1000 {'pyr[e] -> ' } + {'EX_succ(e)' } {'Succinate exchange' } 0 1000 {'succ[e] -> ' } + {'FBP' } {'fructose-bisphosphatase' } 0 1000 {'fdp[c] + h2o[c] -> f6p[c] + pi[c] ' } + {'FORt2' } {'formate transport via proton symport (uptake only)' } 0 1000 {'for[e] + h[e] -> for[c] + h[c] ' } + {'FORti' } {'formate transport via diffusion' } 0 1000 {'for[c] -> for[e] ' } + {'FRD7' } {'fumarate reductase' } 0 1000 {'fum[c] + q8h2[c] -> q8[c] + succ[c] ' } + {'FRUpts2' } {'Fructose transport via PEP:Pyr PTS (f6p generating)'} 0 1000 {'fru[e] + pep[c] -> f6p[c] + pyr[c] ' } + {'FUMt2_2' } {'Fumarate transport via proton symport (2 H)' } 0 1000 {'fum[e] + 2 h[e] -> fum[c] + 2 h[c] ' } + {'GLCpts' } {'D-glucose transport via PEP:Pyr PTS' } 0 1000 {'glc-D[e] + pep[c] -> g6p[c] + pyr[c] ' } + {'GLNS' } {'glutamine synthetase' } 0 1000 {'atp[c] + glu-L[c] + nh4[c] -> adp[c] + gln-L[c] + h[c] + pi[c] ' } + {'GLNabc' } {'L-glutamine transport via ABC system' } 0 1000 {'atp[c] + gln-L[e] + h2o[c] -> adp[c] + gln-L[c] + h[c] + pi[c] ' } + {'GLUN' } {'glutaminase' } 0 1000 {'gln-L[c] + h2o[c] -> glu-L[c] + nh4[c] ' } + {'GLUSy' } {'glutamate synthase (NADPH)' } 0 1000 {'akg[c] + gln-L[c] + h[c] + nadph[c] -> 2 glu-L[c] + nadp[c] ' } + {'GND' } {'phosphogluconate dehydrogenase' } 0 1000 {'6pgc[c] + nadp[c] -> co2[c] + nadph[c] + ru5p-D[c] ' } + {'ICL' } {'Isocitrate lyase' } 0 1000 {'icit[c] -> glx[c] + succ[c] ' } + {'MALS' } {'malate synthase' } 0 1000 {'accoa[c] + glx[c] + h2o[c] -> coa[c] + h[c] + mal-L[c] ' } + {'MALt2_2' } {'Malate transport via proton symport (2 H)' } 0 1000 {'2 h[e] + mal-L[e] -> 2 h[c] + mal-L[c] ' } + {'ME1' } {'malic enzyme (NAD)' } 0 1000 {'mal-L[c] + nad[c] -> co2[c] + nadh[c] + pyr[c] ' } + {'ME2' } {'malic enzyme (NADP)' } 0 1000 {'mal-L[c] + nadp[c] -> co2[c] + nadph[c] + pyr[c] ' } + {'NADH16' } {'NADH dehydrogenase (ubiquinone-8 & 3 protons)' } 0 1000 {'4 h[c] + nadh[c] + q8[c] -> 3 h[e] + nad[c] + q8h2[c] ' } + {'NADTRHD' } {'NAD transhydrogenase' } 0 1000 {'nad[c] + nadph[c] -> nadh[c] + nadp[c] ' } + {'PDH' } {'pyruvate dehydrogenase' } 0 1000 {'coa[c] + nad[c] + pyr[c] -> accoa[c] + co2[c] + nadh[c] ' } + {'PFK' } {'phosphofructokinase' } 0 1000 {'atp[c] + f6p[c] -> adp[c] + fdp[c] + h[c] ' } + {'PFL' } {'pyruvate formate lyase' } 0 1000 {'coa[c] + pyr[c] -> accoa[c] + for[c] ' } + {'PGL' } {'6-phosphogluconolactonase' } 0 1000 {'6pgl[c] + h2o[c] -> 6pgc[c] + h[c] ' } + {'PPC' } {'phosphoenolpyruvate carboxylase' } 0 1000 {'co2[c] + h2o[c] + pep[c] -> h[c] + oaa[c] + pi[c] ' } + {'PPCK' } {'phosphoenolpyruvate carboxykinase' } 0 1000 {'atp[c] + oaa[c] -> adp[c] + co2[c] + pep[c] ' } + {'PPS' } {'phosphoenolpyruvate synthase' } 0 1000 {'atp[c] + h2o[c] + pyr[c] -> amp[c] + 2 h[c] + pep[c] + pi[c] ' } + {'PYK' } {'pyruvate kinase' } 0 1000 {'adp[c] + h[c] + pep[c] -> atp[c] + pyr[c] ' } + {'SUCCt2_2' } {'succinate transport via proton symport (2 H)' } 0 1000 {'2 h[e] + succ[e] -> 2 h[c] + succ[c] ' } + {'SUCCt3' } {'succinate transport out via proton antiport' } 0 1000 {'h[e] + succ[c] -> h[c] + succ[e] ' } + {'SUCDi' } {'succinate dehydrogenase (irreversible)' } 0 1000 {'q8[c] + succ[c] -> fum[c] + q8h2[c] ' } + {'THD2' } {'NAD(P) transhydrogenase' } 0 1000 {'2 h[e] + nadh[c] + nadp[c] -> 2 h[c] + nad[c] + nadph[c] ' } + Forward_Reaction, non-0 bound Name lb ub equation + _____________________________ _______________________________ ____ ____ ______________________________________________ + {'ATPM'} {'ATP maintenance requirement'} 8.39 1000 {'atp[c] + h2o[c] -> adp[c] + h[c] + pi[c] '} + diff --git a/test/verifiedTests/analysis/testPrint/testPrintConstraints.m b/test/verifiedTests/analysis/testPrint/testPrintConstraints.m index 45f5b862f3..eb7cee7373 100644 --- a/test/verifiedTests/analysis/testPrint/testPrintConstraints.m +++ b/test/verifiedTests/analysis/testPrint/testPrintConstraints.m @@ -23,8 +23,8 @@ delete('printConstraints.txt'); diary('printConstraints.txt'); -minInf = -Inf; -maxInf = +Inf; +minInf = 0;% [-Inf,-1000,-100,0]try different combination to test the function +maxInf = 1000; % [0,100,1000,+Inf] printConstraints(model, minInf, maxInf); diary off text1 = readMixedData('refData_printConstraints.txt'); From f123e8885411b272b2ac0a2cb952efc4b1e358b6 Mon Sep 17 00:00:00 2001 From: Yanjun Date: Thu, 30 Nov 2023 13:48:33 +0000 Subject: [PATCH 37/51] debug testPrintConstraintsm --- external/analysis/octave-networks-toolbox | 2 +- src/analysis/exploration/printConstraints.m | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/external/analysis/octave-networks-toolbox b/external/analysis/octave-networks-toolbox index c4d9402c83..3bfab48b7c 160000 --- a/external/analysis/octave-networks-toolbox +++ b/external/analysis/octave-networks-toolbox @@ -1 +1 @@ -Subproject commit c4d9402c83abe2f54d632be90b77c82920c6105d +Subproject commit 3bfab48b7ccaa63b50bbc8806db1fa1ff668b201 diff --git a/src/analysis/exploration/printConstraints.m b/src/analysis/exploration/printConstraints.m index 21c3b9a4e8..8227cb1b02 100644 --- a/src/analysis/exploration/printConstraints.m +++ b/src/analysis/exploration/printConstraints.m @@ -18,7 +18,7 @@ function printConstraints(model, minInf, maxInf, rxnSelection, modelAfter, print % % .. Authors: -% - Ines Thiele 02/09, Ronan Fleming 2020 +% - Ines Thiele 02/09, Ronan Fleming 2020, Yanjun Liu 2023 if ~exist('minInf','var')|| isempty(minInf) minInf=-Inf; @@ -67,7 +67,7 @@ function printConstraints(model, minInf, maxInf, rxnSelection, modelAfter, print if ~any(closedRxnBool | reversibleRxnBool | fwdRxnBool0b | revRxnBool0b | fwdRxnBoolNon0b | revRxnBoolNon0b) - boolRemainder = rxnSelection & ~(closedRxnBool | reversibleRxnBool | fwdRxnBool | revRxnBool); + boolRemainder = rxnSelection & ~(closedRxnBool | reversibleRxnBool | fwdRxnBool0b | revRxnBool0b | fwdRxnBoolNon0b | revRxnBoolNon0b); warning('no subset with bounds between [minInf maxInf]') else boolRemainder=0; From 864db3bce8226922ae03c91ab344747b72b89113 Mon Sep 17 00:00:00 2001 From: Hadjar_Rahou Date: Thu, 30 Nov 2023 18:29:30 +0000 Subject: [PATCH 38/51] Debug testBiomassPrecursorCheck function --- src/analysis/exploration/biomassPrecursorCheck.m | 16 ++++++++++++---- .../testBiomassPrecursorCheck.m | 4 +++- 2 files changed, 15 insertions(+), 5 deletions(-) diff --git a/src/analysis/exploration/biomassPrecursorCheck.m b/src/analysis/exploration/biomassPrecursorCheck.m index d37e209379..e569d6e50a 100644 --- a/src/analysis/exploration/biomassPrecursorCheck.m +++ b/src/analysis/exploration/biomassPrecursorCheck.m @@ -32,6 +32,7 @@ % (returned only if checkConservedQuantities = true) % % .. Authors: - Pep Charusanti & Richard Que (July 2010) +% - Hadjar Rahou (Nov 2023) (fix a bug) if ~exist('checkCoupling','var') || isempty(checkCoupling) checkCoupling = 0; @@ -118,12 +119,19 @@ EMV = findElementaryMoietyVectors(model); else % atom transition network is supplied. - EMV = identifyConservedMoieties(model, ATN); - types = classifyMoieties(EMV, model.S); - EMV = EMV(:, strcmp(types, 'Internal')); + %EMV = identifyConservedMoieties(model, ATN); + %types = classifyMoieties(EMV, model.S); + %EMV = EMV(:, strcmp(types, 'Internal')); + arm = identifyConservedMoieties(model, ATN); %Hadjar + L=arm.L; + types = classifyMoieties(L, model.S); + L = L(strcmp(types, 'Internal'),:); + EMV=L'; end % biomass metabolites that contain conserved moieties - mCofactor = any(model.S(:, colS_biomass) ~= 0, 2) & any(EMV, 2); + %mCofactor = any(model.S(:, colS_biomass) ~= 0, 2) & any(EMV, 2); + mCofactor = (any(model.S(:, colS_biomass) < 0, 2) & any(EMV, 2)); %Hadjar + %pause(2); % elementary moieties involved in biomass production cofactorPairMatrix = EMV(:, any(EMV(mCofactor, :), 1)); % each cell of cofactorPair stores the set of cofactor metabolites to be produced. diff --git a/test/verifiedTests/analysis/testBiomassPrecursorCheck/testBiomassPrecursorCheck.m b/test/verifiedTests/analysis/testBiomassPrecursorCheck/testBiomassPrecursorCheck.m index f84e3b43a5..6b53bfebba 100644 --- a/test/verifiedTests/analysis/testBiomassPrecursorCheck/testBiomassPrecursorCheck.m +++ b/test/verifiedTests/analysis/testBiomassPrecursorCheck/testBiomassPrecursorCheck.m @@ -5,6 +5,7 @@ % % Authors: % - Siu Hung Joshua Chan June 2018 +% - Hadjar Rahou (Nov 2023) (fix a bug) % save the current path currentDir = pwd; @@ -159,7 +160,8 @@ dataDir = fileparts(which('testBiomassPrecursorCheck')); % build the atom transition network using the data -ATN = buildAtomTransitionNetwork(model, [dataDir filesep 'data' filesep 'atomMapped']); +%ATN = buildAtomTransitionNetwork(model, [dataDir filesep 'data' filesep 'atomMapped']); +[ATN, ~, ~, ~, ~] = buildAtomTransitionMultigraph(model, [dataDir filesep 'data' filesep 'atomMapped']); %Hadjar % add a hypothetical biomass reaction to the model model = addReaction(model, 'BIOMASS', 'reactionFormula', '0.1 dopa[c] + 0.1 h2o[c] + 0.2 thbpt[c] -> 0.2 dhbpt[c]', 'objectiveCoef', 1); From 93176822ad857d2c338f144a4006d099e002c3a5 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Fri, 8 Dec 2023 11:58:04 +0000 Subject: [PATCH 39/51] Update testPrintFluxVector.m --- .../analysis/testPrint/testPrintFluxVector.m | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m b/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m index 77a2bc2aef..2b570ea525 100644 --- a/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m +++ b/test/verifiedTests/analysis/testPrint/testPrintFluxVector.m @@ -6,6 +6,7 @@ % % Authors: % - Sylvain Arreckx March 2017 +% - Farid Zare 21/11/2023 old file deleted, A success message is added % global CBTDIR @@ -33,10 +34,16 @@ printFluxVector(model, flux); diary off +%Initialize the test +fprintf(' -- Running testPrintFluxVector.m:'); + text1 = importdata('refData_printFluxVector.txt'); text2 = importdata('printFluxVector.txt'); assert(isequal(text1, text2)); +% remove the old file +delete('printFluxVector.txt'); + printFluxVector(model, flux, true, false, 1, 'printFluxVector.txt', [], true); text1 = importdata('refData_printFluxVectorFormula.txt'); text2 = importdata('printFluxVector.txt'); @@ -45,5 +52,8 @@ % remove the generated file delete('printFluxVector.txt'); +% output a success message +fprintf('... Done.\n'); + % change the directory cd(currentDir) From a95bb4aa8b8f4a671f4cf3b565d47345f2ebec38 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Fri, 8 Dec 2023 12:03:05 +0000 Subject: [PATCH 40/51] Update refData_printFluxVectorFormula.txt --- .../refData_printFluxVectorFormula.txt | 188 +++++++++--------- 1 file changed, 94 insertions(+), 94 deletions(-) diff --git a/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt b/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt index 867904b190..b2f6549d0d 100644 --- a/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt +++ b/test/verifiedTests/analysis/testPrint/refData_printFluxVectorFormula.txt @@ -1,95 +1,95 @@ -EX_nh4(e) nh4[e] <=> -2.94428 -ACKr ac[c] + atp[c] <=> actp[c] + adp[c] -2.25885 -FBA fdp[c] <=> dhap[c] + g3p[c] -1.71152 -NADH16 4 h[c] + nadh[c] + q8[c] -> 3 h[e] + nad[c] + q8h2[c] -1.49159 -PGM 2pg[c] <=> 3pg[c] -1.42238 -PGL 6pgl[c] + h2o[c] -> 6pgc[c] + h[c] -1.40227 -ATPM atp[c] + h2o[c] -> adp[c] + h[c] + pi[c] -1.34989 -ACt2r ac[e] + h[e] <=> ac[c] + h[c] -1.30769 -GLUDy glu-L[c] + h2o[c] + nadp[c] <=> akg[c] + h[c] + nadph[c] + nh4[c] -1.21412 -EX_akg(e) akg[e] -> -1.20749 -SUCOAS atp[c] + coa[c] + succ[c] <=> adp[c] + pi[c] + succoa[c] -1.16584 -TALA g3p[c] + s7p[c] <=> e4p[c] + f6p[c] -1.14795 -EX_h2o(e) h2o[e] <=> -1.14707 -GLUN gln-L[c] + h2o[c] -> glu-L[c] + nh4[c] -1.1135 -LDH_D lac-D[c] + nad[c] <=> h[c] + nadh[c] + pyr[c] -1.08906 -EX_lac_D(e) lac-D[e] -> -1.06887 -NH4t nh4[e] <=> nh4[c] -1.06158 -FRUpts2 fru[e] + pep[c] -> f6p[c] + pyr[c] -0.86488 -GLNS atp[c] + glu-L[c] + nh4[c] -> adp[c] + gln-L[c] + h[c] + pi[c] -0.863653 -EX_mal_L(e) mal-L[e] -> -0.809499 -RPE ru5p-D[c] <=> xu5p-D[c] -0.804466 -EX_glu_L(e) glu-L[e] -> -0.787283 -GND 6pgc[c] + nadp[c] -> co2[c] + nadph[c] + ru5p-D[c] -0.769666 -PGK 3pg[c] + atp[c] <=> 13dpg[c] + adp[c] -0.764849 -EX_pyr(e) pyr[e] -> -0.754928 -NADTRHD nad[c] + nadph[c] -> nadh[c] + nadp[c] -0.742302 -TPI dhap[c] <=> g3p[c] -0.666891 -PDH coa[c] + nad[c] + pyr[c] -> accoa[c] + co2[c] + nadh[c] -0.615602 -ADK1 amp[c] + atp[c] <=> 2 adp[c] -0.433592 -EX_glc(e) glc-D[e] <=> -0.303441 -SUCCt3 h[e] + succ[c] -> h[c] + succ[e] -0.243715 -FORt2 for[e] + h[e] -> for[c] + h[c] -0.241447 -ICDHyr icit[c] + nadp[c] <=> akg[c] + co2[c] + nadph[c] -0.225584 -CYTBD 2 h[c] + 0.5 o2[c] + q8h2[c] -> h2o[c] + 2 h[e] + q8[c] -0.204966 -PPCK atp[c] + oaa[c] -> adp[c] + co2[c] + pep[c] -0.196053 -PFL coa[c] + pyr[c] -> accoa[c] + for[c] -0.192419 -PPC co2[c] + h2o[c] + pep[c] -> h[c] + oaa[c] + pi[c] -0.177375 -FUMt2_2 fum[e] + 2 h[e] -> fum[c] + 2 h[c] -0.164879 -D_LACt2 h[e] + lac-D[e] <=> h[c] + lac-D[c] -0.124144 -FBP fdp[c] + h2o[c] -> f6p[c] + pi[c] -0.102242 -CO2t co2[e] <=> co2[c] -0.0630549 -FUM fum[c] + h2o[c] <=> mal-L[c] -0.0300513 -GLUSy akg[c] + gln-L[c] + h[c] + nadph[c] -> 2 glu-L[c] + nadp[c] -0.00684933 -MALS accoa[c] + glx[c] + h2o[c] -> coa[c] + h[c] + mal-L[c] 0.0325575 -GLNabc atp[c] + gln-L[e] + h2o[c] -> adp[c] + gln-L[c] + h[c] + pi[c] 0.0773591 -ME2 mal-L[c] + nadp[c] -> co2[c] + nadph[c] + pyr[c] 0.0859311 -THD2 2 h[e] + nadh[c] + nadp[c] -> 2 h[c] + nad[c] + nadph[c] 0.104875 -PYK adp[c] + h[c] + pep[c] -> atp[c] + pyr[c] 0.197811 -SUCDi q8[c] + succ[c] -> fum[c] + q8h2[c] 0.21567 -PTAr accoa[c] + pi[c] <=> actp[c] + coa[c] 0.291584 -EX_gln_L(e) gln-L[e] -> 0.293871 -FRD7 fum[c] + q8h2[c] -> q8[c] + succ[c] 0.312859 -ACONTb acon-C[c] + h2o[c] <=> icit[c] 0.318765 -FORti for[c] -> for[e] 0.319207 -EX_pi(e) pi[e] <=> 0.325191 -AKGDH akg[c] + coa[c] + nad[c] -> co2[c] + nadh[c] + succoa[c] 0.342624 -H2Ot h2o[e] <=> h2o[c] 0.371379 -PIt2r h[e] + pi[e] <=> h[c] + pi[c] 0.488194 -EX_for(e) for[e] -> 0.488894 -ACALD acald[c] + coa[c] + nad[c] <=> accoa[c] + h[c] + nadh[c] 0.537667 -MALt2_2 2 h[e] + mal-L[e] -> 2 h[c] + mal-L[c] 0.552527 -G6PDH2r g6p[c] + nadp[c] <=> 6pgl[c] + h[c] + nadph[c] 0.627707 -EX_acald(e) acald[e] -> 0.671497 -RPI r5p[c] <=> ru5p-D[c] 0.696624 -CS accoa[c] + h2o[c] + oaa[c] -> cit[c] + coa[c] + h[c] 0.714743 -EX_co2(e) co2[e] <=> 0.717239 -TKT1 r5p[c] + xu5p-D[c] <=> g3p[c] + s7p[c] 0.722254 +EX_nh4(e) nh4[e] <=> -2.94428 +ACKr ac[c] + atp[c] <=> actp[c] + adp[c] -2.25885 +FBA fdp[c] <=> dhap[c] + g3p[c] -1.71152 +NADH16 4 h[c] + nadh[c] + q8[c] -> 3 h[e] + nad[c] + q8h2[c] -1.49159 +PGM 2pg[c] <=> 3pg[c] -1.42238 +PGL 6pgl[c] + h2o[c] -> 6pgc[c] + h[c] -1.40227 +ATPM atp[c] + h2o[c] -> adp[c] + h[c] + pi[c] -1.34989 +ACt2r ac[e] + h[e] <=> ac[c] + h[c] -1.30769 +GLUDy glu-L[c] + h2o[c] + nadp[c] <=> akg[c] + h[c] + nadph[c] + nh4[c] -1.21412 +EX_akg(e) akg[e] -> -1.20749 +SUCOAS atp[c] + coa[c] + succ[c] <=> adp[c] + pi[c] + succoa[c] -1.16584 +TALA g3p[c] + s7p[c] <=> e4p[c] + f6p[c] -1.14795 +EX_h2o(e) h2o[e] <=> -1.14707 +GLUN gln-L[c] + h2o[c] -> glu-L[c] + nh4[c] -1.1135 +LDH_D lac-D[c] + nad[c] <=> h[c] + nadh[c] + pyr[c] -1.08906 +EX_lac_D(e) lac-D[e] -> -1.06887 +NH4t nh4[e] <=> nh4[c] -1.06158 +FRUpts2 fru[e] + pep[c] -> f6p[c] + pyr[c] -0.86488 +GLNS atp[c] + glu-L[c] + nh4[c] -> adp[c] + gln-L[c] + h[c] + pi[c] -0.863653 +EX_mal_L(e) mal-L[e] -> -0.809499 +RPE ru5p-D[c] <=> xu5p-D[c] -0.804466 +EX_glu_L(e) glu-L[e] -> -0.787283 +GND 6pgc[c] + nadp[c] -> co2[c] + nadph[c] + ru5p-D[c] -0.769666 +PGK 3pg[c] + atp[c] <=> 13dpg[c] + adp[c] -0.764849 +EX_pyr(e) pyr[e] -> -0.754928 +NADTRHD nad[c] + nadph[c] -> nadh[c] + nadp[c] -0.742302 +TPI dhap[c] <=> g3p[c] -0.666891 +PDH coa[c] + nad[c] + pyr[c] -> accoa[c] + co2[c] + nadh[c] -0.615602 +ADK1 amp[c] + atp[c] <=> 2 adp[c] -0.433592 +EX_glc(e) glc-D[e] <=> -0.303441 +SUCCt3 h[e] + succ[c] -> h[c] + succ[e] -0.243715 +FORt2 for[e] + h[e] -> for[c] + h[c] -0.241447 +ICDHyr icit[c] + nadp[c] <=> akg[c] + co2[c] + nadph[c] -0.225584 +CYTBD 2 h[c] + 0.5 o2[c] + q8h2[c] -> h2o[c] + 2 h[e] + q8[c] -0.204966 +PPCK atp[c] + oaa[c] -> adp[c] + co2[c] + pep[c] -0.196053 +PFL coa[c] + pyr[c] -> accoa[c] + for[c] -0.192419 +PPC co2[c] + h2o[c] + pep[c] -> h[c] + oaa[c] + pi[c] -0.177375 +FUMt2_2 fum[e] + 2 h[e] -> fum[c] + 2 h[c] -0.164879 +D_LACt2 h[e] + lac-D[e] <=> h[c] + lac-D[c] -0.124144 +FBP fdp[c] + h2o[c] -> f6p[c] + pi[c] -0.102242 +CO2t co2[e] <=> co2[c] -0.0630549 +FUM fum[c] + h2o[c] <=> mal-L[c] -0.0300513 +GLUSy akg[c] + gln-L[c] + h[c] + nadph[c] -> 2 glu-L[c] + nadp[c] -0.00684933 +MALS accoa[c] + glx[c] + h2o[c] -> coa[c] + h[c] + mal-L[c] 0.0325575 +GLNabc atp[c] + gln-L[e] + h2o[c] -> adp[c] + gln-L[c] + h[c] + pi[c] 0.0773591 +ME2 mal-L[c] + nadp[c] -> co2[c] + nadph[c] + pyr[c] 0.0859311 +THD2 2 h[e] + nadh[c] + nadp[c] -> 2 h[c] + nad[c] + nadph[c] 0.104875 +PYK adp[c] + h[c] + pep[c] -> atp[c] + pyr[c] 0.197811 +SUCDi q8[c] + succ[c] -> fum[c] + q8h2[c] 0.21567 +PTAr accoa[c] + pi[c] <=> actp[c] + coa[c] 0.291584 +EX_gln_L(e) gln-L[e] -> 0.293871 +FRD7 fum[c] + q8h2[c] -> q8[c] + succ[c] 0.312859 +ACONTb acon-C[c] + h2o[c] <=> icit[c] 0.318765 +FORti for[c] -> for[e] 0.319207 +EX_pi(e) pi[e] <=> 0.325191 +AKGDH akg[c] + coa[c] + nad[c] -> co2[c] + nadh[c] + succoa[c] 0.342624 +H2Ot h2o[e] <=> h2o[c] 0.371379 +PIt2r h[e] + pi[e] <=> h[c] + pi[c] 0.488194 +EX_for(e) for[e] -> 0.488894 +ACALD acald[c] + coa[c] + nad[c] <=> accoa[c] + h[c] + nadh[c] 0.537667 +MALt2_2 2 h[e] + mal-L[e] -> 2 h[c] + mal-L[c] 0.552527 +G6PDH2r g6p[c] + nadp[c] <=> 6pgl[c] + h[c] + nadph[c] 0.627707 +EX_acald(e) acald[e] -> 0.671497 +RPI r5p[c] <=> ru5p-D[c] 0.696624 +CS accoa[c] + h2o[c] + oaa[c] -> cit[c] + coa[c] + h[c] 0.714743 +EX_co2(e) co2[e] <=> 0.717239 +TKT1 r5p[c] + xu5p-D[c] <=> g3p[c] + s7p[c] 0.722254 Biomass_Ecoli_core_w_GAM 1.496 3pg[c] + 3.7478 accoa[c] + 59.81 atp[c] + 0.361 e4p[c] + 0.0709 f6p[c] + 0.129 g3p[c] + 0.205 g6p[c] + 0.2557 gln-L[c] + 4.9414 glu-L[c] + 59.81 h2o[c] + 3.547 nad[c] + 13.0279 nadph[c] + 1.7867 oaa[c] + 0.5191 pep[c] + 2.8328 pyr[c] + 0.8977 r5p[c] -> 59.81 adp[c] + 4.1182 akg[c] + 3.7478 coa[c] + 59.81 h[c] + 3.547 nadh[c] + 13.0279 nadp[c] + 59.81 pi[c] 0.725404 -EX_fum(e) fum[e] -> 0.726885 -PFK atp[c] + f6p[c] -> adp[c] + fdp[c] + h[c] 0.748077 -SUCCt2_2 2 h[e] + succ[e] -> 2 h[c] + succ[c] 0.835088 -ACONTa cit[c] <=> acon-C[c] + h2o[c] 0.862173 -EX_h(e) h[e] <=> 0.888396 -PGI g6p[c] <=> f6p[c] 0.88861 -EX_fru(e) fru[e] -> 1.03469 -GAPD g3p[c] + nad[c] + pi[c] <=> 13dpg[c] + h[c] + nadh[c] 1.09327 -MDH mal-L[c] + nad[c] <=> h[c] + nadh[c] + oaa[c] 1.10061 -GLCpts glc-D[e] + pep[c] -> g6p[c] + pyr[c] 1.10927 -ICL icit[c] -> glx[c] + succ[c] 1.11736 -EX_succ(e) succ[e] -> 1.3703 -ETOHt2r etoh[e] + h[e] <=> etoh[c] + h[c] 1.40903 -EX_ac(e) ac[e] -> 1.41719 -PPS atp[c] + h2o[c] + pyr[c] -> amp[c] + 2 h[c] + pep[c] + pi[c] 1.41931 -EX_o2(e) o2[e] <=> 1.43838 -ENO 2pg[c] <=> h2o[c] + pep[c] 1.4897 -GLUt2r glu-L[e] + h[e] <=> glu-L[c] + h[c] 1.53263 -ME1 mal-L[c] + nad[c] -> co2[c] + nadh[c] + pyr[c] 1.54421 -PYRt2r h[e] + pyr[e] <=> h[c] + pyr[c] 1.5877 -EX_etoh(e) etoh[e] -> 1.63024 -ACALDt acald[e] <=> acald[c] 1.83389 -O2t o2[e] <=> o2[c] 2.35046 -TKT2 e4p[c] + xu5p-D[c] <=> f6p[c] + g3p[c] 2.58549 -ALCD2x etoh[c] + nad[c] <=> acald[c] + h[c] + nadh[c] 2.76944 -ATPS4r adp[c] + 4 h[e] + pi[c] <=> atp[c] + h2o[c] + 3 h[c] 3.03492 -AKGt2r akg[e] + h[e] <=> akg[c] + h[c] 3.5784 +EX_fum(e) fum[e] -> 0.726885 +PFK atp[c] + f6p[c] -> adp[c] + fdp[c] + h[c] 0.748077 +SUCCt2_2 2 h[e] + succ[e] -> 2 h[c] + succ[c] 0.835088 +ACONTa cit[c] <=> acon-C[c] + h2o[c] 0.862173 +EX_h(e) h[e] <=> 0.888396 +PGI g6p[c] <=> f6p[c] 0.88861 +EX_fru(e) fru[e] -> 1.03469 +GAPD g3p[c] + nad[c] + pi[c] <=> 13dpg[c] + h[c] + nadh[c] 1.09327 +MDH mal-L[c] + nad[c] <=> h[c] + nadh[c] + oaa[c] 1.10061 +GLCpts glc-D[e] + pep[c] -> g6p[c] + pyr[c] 1.10927 +ICL icit[c] -> glx[c] + succ[c] 1.11736 +EX_succ(e) succ[e] -> 1.3703 +ETOHt2r etoh[e] + h[e] <=> etoh[c] + h[c] 1.40903 +EX_ac(e) ac[e] -> 1.41719 +PPS atp[c] + h2o[c] + pyr[c] -> amp[c] + 2 h[c] + pep[c] + pi[c] 1.41931 +EX_o2(e) o2[e] <=> 1.43838 +ENO 2pg[c] <=> h2o[c] + pep[c] 1.4897 +GLUt2r glu-L[e] + h[e] <=> glu-L[c] + h[c] 1.53263 +ME1 mal-L[c] + nad[c] -> co2[c] + nadh[c] + pyr[c] 1.54421 +PYRt2r h[e] + pyr[e] <=> h[c] + pyr[c] 1.5877 +EX_etoh(e) etoh[e] -> 1.63024 +ACALDt acald[e] <=> acald[c] 1.83389 +O2t o2[e] <=> o2[c] 2.35046 +TKT2 e4p[c] + xu5p-D[c] <=> f6p[c] + g3p[c] 2.58549 +ALCD2x etoh[c] + nad[c] <=> acald[c] + h[c] + nadh[c] 2.76944 +ATPS4r adp[c] + 4 h[e] + pi[c] <=> atp[c] + h2o[c] + 3 h[c] 3.03492 +AKGt2r akg[e] + h[e] <=> akg[c] + h[c] 3.5784 From 9068ce7895736d33d0da1da8cb29cded377501d1 Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Fri, 8 Dec 2023 12:05:22 +0000 Subject: [PATCH 41/51] Update printFluxVector.m --- src/analysis/exploration/printFluxVector.m | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/analysis/exploration/printFluxVector.m b/src/analysis/exploration/printFluxVector.m index cb66df399e..3114a2a9c0 100644 --- a/src/analysis/exploration/printFluxVector.m +++ b/src/analysis/exploration/printFluxVector.m @@ -20,7 +20,8 @@ function printFluxVector(model, fluxData, nonZeroFlag, excFlag, sortCol, fileNam % % .. Authors: -% - Markus Herrgard, Ronan Fleming +% - Markus Herrgard, Ronan Fleming +% - Farid Zare 21/11/2023 Corrected outputing multiple rxn names if isempty(fluxData) return @@ -70,7 +71,6 @@ function printFluxVector(model, fluxData, nonZeroFlag, excFlag, sortCol, fileNam % Add reaction formulas if formulaFlag if nonZeroFlag - labels = [model.rxns,model.rxns]; %only generate the formulas for the nonzero entries labels(bool,end+1) = printRxnFormula(model, labels(bool), false, false); else From b1a12772170eebde9ac947dfa53b02aa6d467cbd Mon Sep 17 00:00:00 2001 From: Farid Zare <50587630+FaridZare17@users.noreply.github.com> Date: Fri, 8 Dec 2023 12:13:23 +0000 Subject: [PATCH 42/51] Update testCheckModelPreFBA.m --- .../analysis/testFBA/testCheckModelPreFBA.m | 67 ++++++++++++++++--- 1 file changed, 56 insertions(+), 11 deletions(-) diff --git a/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m b/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m index 2c85907f7a..1a840c3bbc 100644 --- a/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m +++ b/test/verifiedTests/analysis/testFBA/testCheckModelPreFBA.m @@ -1,15 +1,60 @@ -%test checkModelPreFBA(model,param) -if ~exist('model','var') - load 'Recon3DModel_301.mat' -end -printLevel=0; +% The COBRAToolbox: testcheckModelPreFBA.m +% +% Purpose: +% - testcheckModelPreFBA tests the functionality of checkModelPreFBA.m +% function +% +% Authors: +% - Ronan Fleming 06/11/2020 +% - Farid Zare: 21/11/2023 Revised the code +% + +global CBTDIR + +% define the required solvers +requiredSolvers = {'needsLP', 'matlab'}; + +% check if the specified requirements are fullfilled +solvers = prepareTest('needsLP', true); + +% save the current path and initialize the test +currentDir = cd(fileparts(which(mfilename))); + +% determine the test path for references +testPath = pwd; -model = findSExRxnInd(model,[],printLevel-1); +%Load Recon3DModel +model = getDistributedModel('Recon3DModel_301.mat'); -N = model.S(:,model.SIntRxnBool); +%Find the internal reaction subset of the network +printLevel = -1; +model = findSExRxnInd(model,[],printLevel); -%Recon3DModel_301, with open external reactions, is flux and -%stoichiometrically consistent, so check should be positive -isConsistent = checkModelPreFBA(model,param); +%Make an inconsistent model by adding an isolated metabolite +incModel = getDistributedModel('ecoli_core_model.mat'); +incModel = addExchangeRxn(incModel, 'isolatedMet', -10, 0); + +%Initialize the test +param.printLevel = 0; + +for k = 1:length(solvers.LP) + solverLPOK = changeCobraSolver(solvers.LP{k}, 'LP', 0); + if solverLPOK + fprintf(' -- Running testcheckModelPreFBA.m using the solver interface: %s ... ', solvers.LP{k}); + %Recon3DModel_301, with open external reactions, is flux and + %stoichiometrically consistent, so check should be positive + isConsistent = checkModelPreFBA(model, param); + assert(isConsistent) + + %The model containing an isolated metabolite is flux and + %stoichiometrically inconsistent, so output must be zero + isConsistent = checkModelPreFBA(incModel, param); + assert(~isConsistent) + + % output a success message + fprintf('Done.\n'); + end +end -assert(isConsistent) +% change the directory +cd(currentDir) From b3cad97e9c36ddbf099e7b2d28c8587eab0c93c6 Mon Sep 17 00:00:00 2001 From: Yanjun Date: Thu, 14 Dec 2023 12:27:33 +0000 Subject: [PATCH 43/51] update function in XomicsToModel --- external/analysis/octave-networks-toolbox | 2 +- .../XomicsToModel/analysis/quanQualAcc.m | 113 ++++++++++++++++++ 2 files changed, 114 insertions(+), 1 deletion(-) create mode 100644 src/dataIntegration/XomicsToModel/analysis/quanQualAcc.m diff --git a/external/analysis/octave-networks-toolbox b/external/analysis/octave-networks-toolbox index c4d9402c83..3bfab48b7c 160000 --- a/external/analysis/octave-networks-toolbox +++ b/external/analysis/octave-networks-toolbox @@ -1 +1 @@ -Subproject commit c4d9402c83abe2f54d632be90b77c82920c6105d +Subproject commit 3bfab48b7ccaa63b50bbc8806db1fa1ff668b201 diff --git a/src/dataIntegration/XomicsToModel/analysis/quanQualAcc.m b/src/dataIntegration/XomicsToModel/analysis/quanQualAcc.m new file mode 100644 index 0000000000..a170cc7e68 --- /dev/null +++ b/src/dataIntegration/XomicsToModel/analysis/quanQualAcc.m @@ -0,0 +1,113 @@ +function [comparisonData] = quanQualAcc( validationData,predictedFlux, param) + +%param.boundPrecisionLimit + +if nargin < 3 || isempty(param) + param = struct; +end +load(which('Recon3_3.mat')); +model = Recon3_3; +% Add default parameters +if ~isfield(param, 'boundPrecisionLimit') + feasTol = getCobraSolverParams('LP', 'feasTol'); + param.boundPrecisionLimit = feasTol * 10; +end + +if iscell(validationData.mean) + validationData.mean = str2double(validationData.mean); +end +if iscell(validationData.SD) + validationData.SD = str2double(validationData.SD); +end + +% Experimental mean (experimentalMean < boundPrecisionLimit are considered as zero) +experimentalMean = validationData.mean; + +% Identify secretions and uptakes present in the model +exoMetRxnsIdx = ismember(validationData.rxns, model.rxns); + +% Secretions +rxnTargetSecList = validationData.rxns((experimentalMean - validationData.SD) > 0 & exoMetRxnsIdx); +rxnTargetSec_mean = validationData.mean((experimentalMean - validationData.SD) > 0 & exoMetRxnsIdx); +rxnTargetSec_SD = validationData.SD((experimentalMean - validationData.SD) > 0 & exoMetRxnsIdx); + +% Uptakes +rxnTargetUptList = validationData.rxns((experimentalMean + validationData.SD) < 0 & exoMetRxnsIdx); +rxnTargetUpt_mean = validationData.mean((experimentalMean + validationData.SD) < 0 & exoMetRxnsIdx); +rxnTargetUpt_SD = validationData.SD((experimentalMean + validationData.SD) < 0 & exoMetRxnsIdx); + +% Unchanged +rxnTargetUnList = validationData.rxns(exoMetRxnsIdx & ... + (experimentalMean + validationData.SD) > 0 & ... + (experimentalMean - validationData.SD) < 0); +rxnTargetUn_mean = validationData.mean(exoMetRxnsIdx & ... + (experimentalMean + validationData.SD) > 0 & ... + (experimentalMean - validationData.SD) < 0); +rxnTargetUn_SD = validationData.SD(exoMetRxnsIdx & ... + (experimentalMean + validationData.SD) > 0 & ... + (experimentalMean - validationData.SD) < 0); +% Prepare the table with the accuracy data +nRows = length(rxnTargetSecList) + length(rxnTargetUnList) + length(rxnTargetUptList); +varTypes = {'string', 'double', 'double', 'double', 'double', 'double', 'double', 'double'}; +varNames = {'rxns', 'mean', 'SD', 'target', 'v', 'predict', 'agree', 'dv'}; +fullReport = table('Size', [nRows length(varTypes)], 'VariableTypes', varTypes, 'VariableNames', varNames); + +% Analysis of flux predictions +fullReport.rxns = [rxnTargetUptList; rxnTargetUnList; rxnTargetSecList]; +fullReport.mean = [rxnTargetUpt_mean; rxnTargetUn_mean; rxnTargetSec_mean]; +fullReport.SD = [rxnTargetUpt_SD; rxnTargetUn_SD; rxnTargetSec_SD]; + +target = sign(fullReport.mean); +%if (experimentalMean + validationData.SD) > 0 & (experimentalMean - validationData.SD) < 0 +%consider the value to be unreliable to determine uptake or secretion and +%assign NA +target(ismember(fullReport.rxns,rxnTargetUnList)) = 2; +%mean experimental uptake rates below precision limit +%considered zero +target(abs(fullReport.mean) < param.boundPrecisionLimit) = 0; +fullReport.target = target; + +fluxRxn = predictedFlux; +%fullReport.v = fluxRxn(findRxnIDs(model,fullReport.rxns)); +[Bout,LIBkey,LOCAkey] = mapAontoB(fluxRxn.rxns,fullReport.rxns,fluxRxn,fullReport); +fullReport.v(LIBkey) = fluxRxn.v(LOCAkey(LIBkey)); +predict = sign(fullReport.v); +%if the predicted flux magnitude is below fluxEpsilon, +%the predicted flux is considered zero +predict(abs(predict) < param.boundPrecisionLimit) = 0; +fullReport.predict = predict; + +fullReport.agree = fullReport.target == fullReport.predict; +fullReport.dv = abs(fullReport.mean - fullReport.v); + +%% Flux prediction accuracy + +nRows = 1; +varTypes = {'double', 'double', 'double'}; +varNames = {'wEuclidNorm', 'accuracy', 'Spearman'}; +comparisonStats = table('Size', [nRows length(varTypes)], 'VariableTypes', varTypes, 'VariableNames', varNames); + +%v = fullReport.v; +dv = fullReport.dv; +vExp = fullReport.mean; +bool = ~(isoutlier(dv) | isnan(dv) | isnan(vExp)); +w = sparse(1./(1 + (vExp.^2))); +if any(bool) + comparisonStats.wEuclidNorm = sqrt(dv(bool)' * diag(w(bool)) * dv(bool)); +else + comparisonStats.wEuclidNorm = NaN; +end +% confusionMatrix +C = confusionmat(fullReport.target, fullReport.predict, 'ORDER',[2,1, 0, -1]); +comparisonStats.qualAccuracy = sum(diag(C), 1) / sum(sum(C, 1)); + +if isnan(comparisonStats.wEuclidNorm) + pause(0.1) +end + +%spearman rank +[comparisonStats.Spearman,comparisonStats.SpearmanPval] = corr(fullReport.mean(isfinite(fullReport.mean)),fullReport.v(isfinite(fullReport.v)),'Type','Spearman'); + +comparisonData.fullReport = fullReport; +comparisonData.comparisonStats = comparisonStats; +end \ No newline at end of file From 6d64af178be2dc3f00aee8cfd17b1bf0063e54b1 Mon Sep 17 00:00:00 2001 From: Farid Zare Date: Sun, 17 Dec 2023 00:58:33 +0000 Subject: [PATCH 44/51] adding MatGPT to CobraToolbox --- src/chatGPT/MatGPT/.gitattributes | 28 +++ src/chatGPT/MatGPT/.gitignore | 4 + src/chatGPT/MatGPT/CONTRIBUTING.md | 25 ++ src/chatGPT/MatGPT/LICENSE.txt | 21 ++ src/chatGPT/MatGPT/MatGPT.mlapp | Bin 0 -> 96274 bytes src/chatGPT/MatGPT/README.md | 123 ++++++++++ src/chatGPT/MatGPT/SECURITY.md | 3 + src/chatGPT/MatGPT/contents/index.html | 50 ++++ src/chatGPT/MatGPT/contents/presets.csv | 288 +++++++++++++++++++++++ src/chatGPT/MatGPT/contents/styles.css | 116 +++++++++ src/chatGPT/MatGPT/helpers/CodeChecker.m | 268 +++++++++++++++++++++ src/chatGPT/MatGPT/helpers/TextHelper.m | 174 ++++++++++++++ src/chatGPT/MatGPT/helpers/chatGPT.m | 160 +++++++++++++ src/chatGPT/MatGPT/helpers/chatter.m | 114 +++++++++ 14 files changed, 1374 insertions(+) create mode 100644 src/chatGPT/MatGPT/.gitattributes create mode 100644 src/chatGPT/MatGPT/.gitignore create mode 100644 src/chatGPT/MatGPT/CONTRIBUTING.md create mode 100644 src/chatGPT/MatGPT/LICENSE.txt create mode 100644 src/chatGPT/MatGPT/MatGPT.mlapp create mode 100644 src/chatGPT/MatGPT/README.md create mode 100644 src/chatGPT/MatGPT/SECURITY.md create mode 100644 src/chatGPT/MatGPT/contents/index.html create mode 100644 src/chatGPT/MatGPT/contents/presets.csv create mode 100644 src/chatGPT/MatGPT/contents/styles.css create mode 100644 src/chatGPT/MatGPT/helpers/CodeChecker.m create mode 100644 src/chatGPT/MatGPT/helpers/TextHelper.m create mode 100644 src/chatGPT/MatGPT/helpers/chatGPT.m create mode 100644 src/chatGPT/MatGPT/helpers/chatter.m diff --git a/src/chatGPT/MatGPT/.gitattributes b/src/chatGPT/MatGPT/.gitattributes new file mode 100644 index 0000000000..d2bd0c966f --- /dev/null +++ b/src/chatGPT/MatGPT/.gitattributes @@ -0,0 +1,28 @@ +*.fig binary +*.mat binary +*.mdl binary diff merge=mlAutoMerge +*.mdlp binary +*.mexa64 binary +*.mexw64 binary +*.mexmaci64 binary +*.mlapp binary +*.mldatx binary +*.mlproj binary +*.mlx binary +*.p binary +*.sfx binary +*.sldd binary +*.slreqx binary merge=mlAutoMerge +*.slmx binary merge=mlAutoMerge +*.sltx binary +*.slxc binary +*.slx binary merge=mlAutoMerge +*.slxp binary + +## Other common binary file types +*.docx binary +*.exe binary +*.jpg binary +*.pdf binary +*.png binary +*.xlsx binary diff --git a/src/chatGPT/MatGPT/.gitignore b/src/chatGPT/MatGPT/.gitignore new file mode 100644 index 0000000000..7371b76ea9 --- /dev/null +++ b/src/chatGPT/MatGPT/.gitignore @@ -0,0 +1,4 @@ +*.mlx +contents/ChatData.mat +contents/GeneratedCode/ +helpers/*.asv \ No newline at end of file diff --git a/src/chatGPT/MatGPT/CONTRIBUTING.md b/src/chatGPT/MatGPT/CONTRIBUTING.md new file mode 100644 index 0000000000..e53523faa3 --- /dev/null +++ b/src/chatGPT/MatGPT/CONTRIBUTING.md @@ -0,0 +1,25 @@ +# Contributing + +>_If you believe you have discovered a security vulnerability, please **do not** open an issue or make a pull request. Follow the instructions in the [SECURITY.MD](SECURITY.md) file in this repository._ + +Thank you for your interest in contributing to this repo. + +**Contributions do not have to be code!** If you see a way to explain things more clearly or a great example of how to use something, please contribute it (or a link to your content). We welcome issues even if you don't code the solution. We also welcome pull requests to resolve issues that we haven't gotten to yet! + +## How to contribute + +* **Open an issue:** Start by [creating an issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue) in the repository that you're interested in. That will start a conversation with the maintainer. When you are creating a bug report, please include as many details as possible. Please remember that other people do not have your background or understanding of the issue; make sure you are clear and complete in your description. +* **Work in your own public fork:** If you choose to make a contribution, you should [fork the repository](https://docs.github.com/en/get-started/quickstart/fork-a-repo). This creates an editable copy on GitHub where you can write, test, and refine your changes. We suggest that you keep your changes small and focused on the issue you submitted. +* **Sign a Contributor License Agreement (CLA):** We require that all outside contributors sign a [CLA](https://en.wikipedia.org/wiki/Contributor_License_Agreement) before we can accept your contribution. When you create a pull request (see below), we'll reach out to you if you do not already have one on file. Essentially, the CLA gives us permission to publish your contribution as part of the repository. +* **Make a pull request:** "[Pull Request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests)" is a confusing term, but it means exactly what it says: You're requesting that the maintainers of the repository pull your changes in. If you don't have a CLA on file, we'll reach out to you. Your contribution will be reviewed, and we may ask you to revise your pull request based on our feedback. Once everyone is satisfied, we'll merge your pull request into the repository. + +## Guidelines + +We don't have best practices for writing MATLAB® code, but we do have some recommendations: + +* You should not have any warnings or errors in the [code analyzer report](http://www.mathworks.com/help/matlab/matlab_prog/matlab-code-analyzer-report.html) +* [Loren Shure's blog](https://blogs.mathworks.com/loren) has [great advice on improving your MATLAB code](https://blogs.mathworks.com/loren/category/best-practice/) +* Examples should be written as [live scripts](https://www.mathworks.com/help/matlab/matlab_prog/what-is-a-live-script-or-function.html) and then [exported as HTML](https://www.mathworks.com/help/matlab/matlab_prog/share-live-scripts.html). +* We adhere to the [CommonMark](https://commonmark.org/) specification where it does not conflict with GitHub rendering. If you edit your Markdown in Visual Studio Code or a similar editor, it uses [markdownlint](https://github.com/DavidAnson/markdownlint) to highlight issues in your Markdown. + +**Again, thanks for contributing, and we look forward to your issues and pull requests!** diff --git a/src/chatGPT/MatGPT/LICENSE.txt b/src/chatGPT/MatGPT/LICENSE.txt new file mode 100644 index 0000000000..2969c2a68e --- /dev/null +++ b/src/chatGPT/MatGPT/LICENSE.txt @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 Toshiaki Takeuchi + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/src/chatGPT/MatGPT/MatGPT.mlapp b/src/chatGPT/MatGPT/MatGPT.mlapp new file mode 100644 index 0000000000000000000000000000000000000000..f832dbb18497b0bfda503ef16d6e33afba77eba4 GIT binary patch literal 96274 zcmZsiQ;aSQtggqlJ+lUDY<*+fwr$(CZQHhOt+8#}=RY?)*~xCwrfGWj+`a89F9iyQ z1_T5I^u9TH@IAV3B|sDFjf1;5>DF}1t7*_cn$C|cMiYueixSRfjM+9CHd=$ZFNcdS1 zN4odXzqtmX%iB{%-oXcU=$yCdf<=8|;GM!s68GF$%g5MRjr>DQn)W zdJ}qE>iXWYYzy*S27Y&AuA@N4B#||-;p0}?HjLu1(yGh3+?}K5t3GZwEK_C z88{FSED#!yo}-Di6FuGkufRY^|E>M+sQI@oJIH_rdFPc|c+Nwu7l;MHZaEkdq2TQ= zMIxj4$=B)iLK>JbWJUCbi+Yg!TwbV?{Q$#Tb9 zJnoq@8=v6_k<$uQF`VduqQorMnM~7Pd}c^BF93p&zUF9hxBf;OJ+&a}OZdC4d&nNL z%e6_>)QYTD2zK^T38X4hd?hAd2YhC5Do@bq8Dou<>>~;p{tY3l7pCt(r*?sJ1PG@I 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+
+
Role
+
Content
+
+
+ + + \ No newline at end of file diff --git a/src/chatGPT/MatGPT/contents/presets.csv b/src/chatGPT/MatGPT/contents/presets.csv new file mode 100644 index 0000000000..6ee4b4ec3b --- /dev/null +++ b/src/chatGPT/MatGPT/contents/presets.csv @@ -0,0 +1,288 @@ +name,content,prompt,model,max_tokens,temperature,test_code +AI Assistant,You are a helpful assistant. Answer as concisely as possible. ,Where is the capital of France?,gpt-3.5-turbo,1000,1,0 +English to MATLAB Code,You are a helpful assistant that generates MATLAB code using the latest features from R2021a or later. ,"Define two random vectors x and y, fit a linear model to the data, and plot both the data and fitted line.",gpt-3.5-turbo,1000,0,1 +English to Simulink Model,"You are a helpful assistant that creates Simulink models. +You create the models by generating MATLAB code that adds all the necessary blocks and set their parameters. +Automatically arrange the blocks by adding this line of code: +Simulink.BlockDiagram.arrangeSystem(model) +Save the model and run it.","Model name: 'sine_multiplied' +Add Sine Wave block with amplification = 1. +Multiply the sine wave signal by 3. +Add Scope block with 2 input ports. +Visualize both signals by connecting them to the same Scope block. ",gpt-3.5-turbo,1000,0,1 +Summarize Code,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and provide concise summary of what the code does. ,"Summarize what the following code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 does. + +```matlab +m = 0:.01:1; +T = -4:.01:25; +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +```",gpt-3.5-turbo,1000,0,0 +Explain Code Step by Step,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and explain the code step by step.,"Explain what the following code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 does. + +```matlab +m = 0:.01:1; +T = -4:.01:25; +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +```",gpt-3.5-turbo,1000,0,0 +Script to function,You are a friendly and helpful teaching assistant for MATLAB programmers. Convert MATLAB scripts to a local function and call the function using sample inputs. ,"Convert the following script by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 to a function, using m and T as input variables and set default values to those variables. + +```matlab +m = 0:.01:1; +T = -4:.01:25; +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +```",gpt-3.5-turbo,1000,0,1 +Write doc to function,"You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze a MATLAB function and add an elaborate, high quality docstring to the function.","Write useful docstring to this function derived from the code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418, using comment format %PLOTBLOOMINGLIGHTS does blah blah blah. + +```matlab +function plotBloomingLight(m,T) +arguments + m double {mustBeVector} = 0:.01:1; + T double {mustBeVector} = -4:.01:25; +end +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +end +```",gpt-3.5-turbo,1000,0,0 +Fix Bug,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze buggy MATLAB code and provide error free code using latest features from R2021a or later. ,"Fix bug in the following MATLAB code + +```matlab +% Buggy MATLAB code + +a = 1; b = 2; +function y = add(a, b) +y = ""a"" + b +end +``` + +% Fixed MATLAB code",gpt-3.5-turbo,1000,0,0 +Write Unit Tests,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB functions and write appropriate unit tests.,"Write unit tests for this function, + +```matlab +function y = add(a, b) +y = a + b +end +```",gpt-3.5-turbo,1000,0,0 +Vectorize Code,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and rewrite it to improve efficiency using vectorization rather than for loops.,"Vectorize the following code without using for loop. + +```matlab +i = 0; +for t = 0:.01:10 + i = i + 1; + y(i) = sin(t); +end +```",gpt-3.5-turbo,1000,0,1 +Act as MATLAB Command Window,"You are a MATLAB interpreter. I will give you MATLAB code, you'll reply with what the Command Window should show. Do not provide any explanations. Do not respond with anything except the output of the code. ","```matlab +x = (1:10)*2 +``` + +",gpt-3.5-turbo,1000,0,0 +Sentiment Analysis,You are a helpful assistant that helps data scientists by analyzing sentiment expressed in a given text.,"Decide whether sentiment is positive, neutral, or negative for the following text + +1. ""I can't stand homework"" +2. ""This sucks. I'm bored 😠"" +3. ""I can't wait for Halloween!!!"" +4. ""My cat is adorable ❤️❤️"" +5. ""I hate chocolate"" + +Text sentiment ratings:",gpt-3.5-turbo,1000,0,0 +Contact Extraction,You are a helpful assistant that helps data scientists by analyzing unstructured data and extract personally identifiable information.,"Extract the name and mailing address from this text: + +Dear Kelly, + +It was great to talk to you at the seminar. I thought Jane's talk was quite good. +Thank you for the book. Here's my address + +2111 Ash Lane, Crestview CA 92002 + +Best, + +Maya",gpt-3.5-turbo,1000,0,0 +Extract table from PDF,You are a helpful assistant that helps data scientists by analyzing unstructured data and recreate a table from the text extracted from a PDF file.,"format the following PDF data into a table. Start with a title, then the table and end with a footer citing the source. + +A(Percentage)verage annual export growth rates of creative goods, 2006−2020 + + + Region 2006−2010 2011−2015 + + Developing economies 9.8 4.9 + + Developed economies 1.5 0.2 + + Least developed countries 19.5 4.2 + + Small island developing States 12.8 -0.6 + + World – creative goods 5.1 2.7 + + World – all goods 3.6 -1.8 + + Source: UNCTAD based on UN COMTRADE Database. + + + 2016−2020 + + 2.0 + + 0.3 + + 38.3 + + -29.8 + + 1.2 + + 2.6 + + + 2006−2020 + + 5.9 + + 1.3 + + 10.1 + + -3.9 + + 3.5 + + 2.4 + + + 2020 + + -10.6 + + -14.9 + + -2.2 + + -48.5 + + -12.5 + + -7.2 + + + ",gpt-3.5-turbo,1000,0,0 +Top 10 SciFi movies,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a table of top 10 science fiction movies, their year of release, and box office gross. Name columns 'Title', 'Year', and 'Gross'.",gpt-3.5-turbo,1000,0,0 +San Francisco Weather,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a table of weather temperatures for San Francisco. +Name columns 'Month', 'High', and 'Low'. +Use abbreviated month names. Use numbers only for temperature using Fahrenheit.",gpt-3.5-turbo,1000,0,0 +Boston Housing Prices,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Housing prices are correlated with size of the house. +Create a table of housing prices in Boston based on square footage as size +with columns named 'Sqft' and 'Price' with 10 rows. Randomize the values in 'Sqft', +while maintaining the correlation to 'Price' with some variation.",gpt-3.5-turbo,1000,0,0 +Boston Landmarks,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a markdown table of famous landmarks in Boston + with latitude and longitude in decimal degrees, i.e. 42.361145, -71.057083 + Generate MATLAB Code that stores the data in variables landmarks, lat and lon. + Use geoscatter function to plot the data points. Annotate the data points with the names of the landmarks using text function. + Avoid using for loop.",gpt-3.5-turbo,1000,0,0 +Remove duplicate names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Here is a list of names. + +John Smith +William Davis +Sarah Brown +Thomas Miller +Julia Johnson +Adam White +David Taylor +Smith Paul +Davis William +Brown Jennifer + +Create a table with two columns from this list +that split the first name and last name. +If first name appears as last name, correct the order. +remove any duplicates. Show the table in markdown format.",gpt-3.5-turbo,1000,0,0 +Email Domains to Company Names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Identify legal company names based on the following domains + +1. @apple.com +2. @walmart.com +3. @exxonmobil.com +4. @berkshirehathaway.com +5. @amazon.com +6. @unitedhealthgroup.com +7. @cvs.com +8. @costco.com +9. @jpmorganchase.com +10. @home-depot.com +11. @mcdonalds.com +12. @chevron.com1 +13. @unitedparcelservice.com +14. @dell.com",gpt-3.5-turbo,1000,0,0 +Normalize University Names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Normalize the list of university names below. If a university has multiple names, apply the most common full name, not an abbreviation. + +CMU +Caltech +Carnegie Mellon UNiversity +Carnegie Mellon University +Cambrige +Cambridge University +Columbia +Columbia University +Cornell +Cornell University +Duke +Duke University +Duke Univiersity +Georgia Institute of Technolog +Georgia Institute of Technology +Georgia Tech +Georgia Tech. +Georgiatech +MIT +Massachusetts Institute of Technology + +",gpt-3.5-turbo,1000,0,0 diff --git a/src/chatGPT/MatGPT/contents/styles.css b/src/chatGPT/MatGPT/contents/styles.css new file mode 100644 index 0000000000..4eab99705c --- /dev/null +++ b/src/chatGPT/MatGPT/contents/styles.css @@ -0,0 +1,116 @@ +.table { + display: table; + border-collapse: collapse; + width: 100%; + margin: 0px 0px 0px 0px; + font-size: 0.9em; + font-family: sans-serif; + min-width: 400px; +} + +.table-row { + display: table-row; + border-bottom: 1px solid #dddddd; +} + +.table-row:nth-of-type(even) { + background-color: #f3f3f3; +} + +.table-row:last-of-type { + border-bottom: 2px solid #104871; +} + +.table-cell, +.table-header { + display: table-cell; + padding: 12px 15px; + white-space: pre-wrap; +} + +.table-row.active-row { + font-weight: bold; + color: #104871; +} + +.table-header { + background-color: #104871; + color: #ffffff; + text-align: left; +} + +.code-block { + display: block; + font-size: 1.15em; + background-color: #dcebf3; + border: 1px solid #ccc; + padding: 10px; + margin: 0px 0px 0px 0px; +} + +.test-block-green { + display: block; + font-size: 1.15em; + background-color: #dcf3dc; + border: 1px solid #ccc; + padding: 10px; + margin: 0px 0px 0px 0px; +} + +.test-block-red { + display: block; + font-size: 1.15em; + background-color: #f3dcdc; + border: 1px solid #ccc; + padding: 10px; + margin: 0px 0px 0px 0px; +} + +.code-inline { + font-size: 1.25em; + font-weight: normal; +} + +.ml-figure { + max-width: 100%; + max-height: 100%; +} + +.test-report div { + margin-bottom: 10px; +} + +.test, +.figures, +.artifacts { + border: 1px solid #7d9dd6; + border-radius: 10px; + padding: 10px; +} + +table.resp { + width: 100%; + background-color: #ffffff; + border-collapse: collapse; + border-width: 2px; + border-color: #404040; + border-style: solid; + color: #000000; +} + +table.resp td, +table.resp th { + border-width: 2px; + border-color: #404040; + border-style: solid; + padding: 3px; +} + +table.resp thead { + background-color: #404040; + color: #ffffff; +} + +tr:nth-child(even) { + background-color: #f2f2f2; +} diff --git a/src/chatGPT/MatGPT/helpers/CodeChecker.m b/src/chatGPT/MatGPT/helpers/CodeChecker.m new file mode 100644 index 0000000000..1949890699 --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/CodeChecker.m @@ -0,0 +1,268 @@ +classdef CodeChecker < handle + % CODECHECKER - Class for evaluating code from ChatGPT + % CodeChecker is a class that can extract code from ChatGPT + % responses, run the code with a unit testing framework, and return + % the test results in a format for display in a chat window. Each + % input message from ChatGPT gets its own test folder to hold the + % generated code and artifacts like test results and images + % + % Example: + % + % % Get a message from ChatGPT + % myBot = chatGPT(); + % response = send(myBot,"Create a bar plot in MATLAB."); + % + % % Create object + % checker = CodeChecker(response); + % + % % Check code for validity and display test report + % runChecks(checker); + % report = checker.Report; + + properties (SetAccess=private) + ChatResponse % ChatGPT response that may have code + OutputFolder % Full path with test results + Results % Table with code check results + Timestamp % Unique string with current time to use for names + Artifacts % List of files generated by the checks + ErrorMessages % Cell str of any error messages from results + Report % String with the nicely formatted results + end + + methods + %% Constructor + function obj = CodeChecker(inputStr,pathStr) + %CODECHECKER Constructs an instance of this class + % checker = CodeChecker(message) creates an instance + % of the CodeChecker class given a response from + % ChatGPT in the string "message". + arguments + inputStr string {mustBeTextScalar} + pathStr string {mustBeTextScalar} = ""; + end + obj.ChatResponse = inputStr; + if pathStr == "" + s = dir; + pathStr = s(1).folder; + end + % Construct a unique output folder name using a timstamp + obj.Timestamp = string(datetime('now','Format','yyyy-MM-dd''T''HH-mm-SS')); + obj.OutputFolder = fullfile(pathStr,"contents","GeneratedCode","Test-" + obj.Timestamp); + + % Empty Results table + obj.Results = []; + end + end + methods (Access=public) + function runChecks(obj) + % RUNCHECKS - Run generated code and check for errors + % runChecks(obj) will run each piece of generated code. NOTE: + % This function does not check generated code for + % correctness, just validity + + % make the output folder + mkdir(obj.OutputFolder) + + % Get list of current files so we know which artifacts to move + % to the output folder + filesBefore = dir(); + + % save code files and get their names for testing; + saveCodeFiles(obj); + + % Run all test files + runCodeFiles(obj); + + % Move all newly generated files + filesAfter = dir(); + obj.Artifacts = string(setdiff({filesAfter.name},{filesBefore.name})); + for i = 1:length(obj.Artifacts) + movefile(obj.Artifacts(i),obj.OutputFolder) + end + + % Fill the results properties like Report and ErrorMessages + processResults(obj) + end + end + + methods(Access=private) + function saveCodeFiles(obj) + % SAVECODEFILES Saves M-files for testing + % saveCodeFiles(obj) will parse the ChatResponse propety for + % code blocks and save them to separate M-files with unique + % names in the OutputFolder property location + + % Extract code blocks + [startTag,endTag] = TextHelper.codeBlockPattern(); + codeBlocks = extractBetween(obj.ChatResponse,startTag,endTag); + + % Create Results table + obj.Results = table('Size',[length(codeBlocks) 4],'VariableTypes',["string","string","string","logical"], ... + 'VariableNames',["ScriptName","ScriptContents","ScriptOutput","IsError"]); + obj.Results.ScriptContents = codeBlocks; + + % Save code blocks to M-files + for i = 1:height(obj.Results) + % Open file with the function name or a generic test name. + obj.Results.ScriptName(i) = "Test" + i + "_" + replace(obj.Timestamp,"-","_"); + fid = fopen(obj.Results.ScriptName(i) + ".m","w"); + + % Add the code to the file + fprintf(fid,"%s",obj.Results.ScriptContents(i)); + fclose(fid); + end + end + + function runCodeFiles(obj) + % RUNCODEFILES - Tries to run all the generated scripts and + % captures outputs/figures + + % Before tests, make existing figure handles invisible + figsBefore = findobj('Type','figure'); + for i = 1:length(figsBefore) + figsBefore(i).HandleVisibility = "off"; + end + + % Also check for open and closed Simulink files + addOns = matlab.addons.installedAddons; + addOns = addOns(addOns.Name=="Simulink",:); + hasSimulink = ~isdeployed && ~isempty(addOns) && addOns.Enabled; + if hasSimulink + BDsBefore = find_system('SearchDepth',0); + SLXsBefore = dir("*.slx"); + SLXsBefore = {SLXsBefore.name}'; + end + + % Iterate through scripts. Run the code and capture any output + for i = 1:height(obj.Results) + try + output = evalc(obj.Results.ScriptName(i)); + if isempty(output) + output = "This code did not produce any output"; + end + obj.Results.ScriptOutput(i) = output; + catch ME + obj.Results.IsError(i) = true; + obj.Results.ScriptOutput(i) = TextHelper.shortErrorReport(ME); + end + end + + % Find newly Simulink models + if hasSimulink + BDsNew = setdiff(find_system("SearchDepth",0),BDsBefore); + BDsNew(BDsNew=="simulink") = []; + SLXsfiles = dir("*.slx"); + SLXsNew = setdiff({SLXsfiles.name}',SLXsBefore); + SLXsNew = extractBefore(SLXsNew,".slx"); + + % Load the new SLX-files. Add to list of new BDs + for i = 1:length(SLXsNew) + load_system(SLXsNew{i}); + end + BDsNew = union(BDsNew,SLXsNew); + + % Print screenshots for the new BDs. Then save and close them + for i = 1:length(BDsNew) + print("-s" + BDsNew{i},"-dpng",BDsNew{i} + ".png"); + save_system(BDsNew{i}); + close_system(BDsNew{i}); + end + end + + % Save new figures as png and reset the old figures as visible + figsAfter = findobj("Type","figure"); + for i = 1:length(figsAfter) + saveas(figsAfter(i),"Figure" + i + ".png"); + end + for i = 1:length(figsBefore) + figsBefore(i).HandleVisibility = "on"; + end + end + + function processResults(obj) + % PROCESSRESULTS - Process the test results + % + % processResults(obj) will assign values to the properties + % Report and ErrorMessages. obj.Report is a string with a + % nicely formatted report, and obj.ErrorMessages is a cellstr + % with any error messages + % + + % Get the error messages from the Results table + obj.ErrorMessages = obj.Results.ScriptOutput(obj.Results.IsError); + + % Set up the report header + numBlocks = height(obj.Results); + numErrors = length(obj.ErrorMessages); + reportHeader = sprintf(['

Here are the test results. ' ... + 'There were %d code blocks tested and %d errors.

'], ... + numBlocks,numErrors); + + % Handle plurals + if numBlocks == 1 + reportHeader = replace(reportHeader,'were','was'); + reportHeader = replace(reportHeader,'blocks','block'); + end + if numErrors == 1 + reportHeader = replace(reportHeader,'errors','error'); + end + + % Loop through results table to make the report + testReport = reportHeader; + for i = 1:height(obj.Results) + + % Start the report with the script name + testReport = [testReport sprintf('

Test: %s

', ... + obj.Results.ScriptName(i))]; %#ok + + % Use error style if code produced an error + codeBlockClass = "test-block-green"; + if obj.Results.IsError(i) + codeBlockClass = "test-block-red"; + end + + % Add code + testReport = [testReport sprintf('%%%% Code: \n\n%s\n\n', ... + codeBlockClass,obj.Results.ScriptContents(i))]; %#ok + + % Add output + testReport = [testReport sprintf('%%%% Command Window Output: \n\n%s', ... + obj.Results.ScriptOutput(i))]; %#ok + + % Add the closing tags + testReport = [testReport '
']; %#ok + end + + % Show any image artifacts + imageFiles = obj.Artifacts(contains(obj.Artifacts,".png")); + folders = split(obj.OutputFolder,filesep); + if ~isempty(imageFiles) + testReport = [testReport '

Figures

']; + for i = 1:length(imageFiles) + % Get the relative path of the image. Assumes that the HTML + % file is at the same level as the "GeneratedCode" folder + relativePath = fullfile(folders(end-1),folders(end),imageFiles(i)); + relativePath = replace(relativePath,'\','/'); + + % Assemble the html code for displaying the image + testReport = [testReport sprintf('
',relativePath)]; %#ok + end + testReport = [testReport '
']; + end + + % List the artifacts + testReport = [testReport '

Artifacts

']; + testReport = [testReport sprintf('The following artifacts were saved to: %s\n\n',obj.OutputFolder)]; + for i = 1:length(obj.Artifacts) + testReport = [testReport sprintf(' %s\n',obj.Artifacts(i))]; %#ok + end + testReport = [testReport '
']; + + % Close the initial div for the overall report + testReport = [testReport '
']; + + % Assign testReport to Report property + obj.Report = testReport; + end + end +end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/TextHelper.m b/src/chatGPT/MatGPT/helpers/TextHelper.m new file mode 100644 index 0000000000..dff8ac7720 --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/TextHelper.m @@ -0,0 +1,174 @@ +classdef TextHelper + %TEXTHELPER Collection of static methods for text processing + % TextHelper has multiple static methods that can be used for the + % weird text processing used by MatGPT + + methods (Access=public,Static) + %% codeBlockPattern + function [startPat,endPat] = codeBlockPattern() + % CODEBLOCKPATTERN - text matching pattern for the code blocks in backticks + % + % [startPat,endPat] = codeBlockPattern returns some start and end + % patterns for the backticks so you can use for + + % Code blocks start and end with 3 backticks + backticks = "```"; + startPat = backticks + wildcardPattern + newline; + endPat = newline + backticks + (newline|textBoundary); + end + + %% exceptionReport + function report = shortErrorReport(ME) + % shortErrorReport - get a shortened report from MException + % + % report = shortErrorReport(ME) will use the getReport method + % from MException input and shorten it to show the error + % message and first stack entry + + % Get full report from MException object and remove HTML tags + report = getReport(ME); + report = TextHelper.removeHTMLtags(report); + + % Count occurrences of "Error" (how big is the Stack) + errorPattern = "Error" + wildcardPattern(Except="Error"); + stackCount = count(report,errorPattern); + + % Construct pattern to match all but the first stack entry + allButFirstError = asManyOfPattern(errorPattern,1,stackCount-1) + textBoundary; + + % Extract before the constructed pattern. + report = extractBefore(report,allButFirstError); + end + + function str = removeHTMLtags(str) + % removeHTMLtags - removes all HTML tags from a string. This is + % usefull because MATLAB's error messages often come with + % hyperlinks. This function removes them. + htmlTags = "<" + wildcardPattern + ">"; + str = erase(str,htmlTags); + end + + function newStr = replaceCodeMarkdown(str,options) + % replaceCodeMarkdown - Replaces ``` markdown with tags + % + % newStr = replaceCodeMarkdown(str) will parse the input str + % and replace any code blocks enclosed in backticks ``` with + % tags using the style class "code-block" + % + % newStr = replaceCodeBlocks(___,type=T) specifies the type + % of markdown to replace or the specific tag used: + % "block" - (default) code enclosed in "```" + % "inline" - code enclosed in "`" + % T - code enclosed in the string stored in T + % + % newStr = replaceCodeBlocks(___,className=C) specifies the + % class name used in the code tag in a string. Default is + % "code-block" + % + % Example input: + % + % ```matlab + % x = 1; + % ``` + % + % Example output: + % + % x=1; + % + arguments + str string {mustBeTextScalar} + options.type string {mustBeTextScalar} = "block" + options.className string {mustBeTextScalar} = "code-block"; + end + + switch options.type + case "block" + [startTag,endTag] = TextHelper.codeBlockPattern(); + case "inline" + startTag = "`"; + endTag = "`"; + otherwise + startTag = options.type; + endTag = options.type; + end + + % Extract text with and without the tgs + textWithoutTags = extractBetween(str,startTag,endTag); + textWithTags = extractBetween(str,startTag,endTag, ... + Boundaries="inclusive"); + + % Replace the blocks with backticks with alternae versions + textWithCodeTags = "" + ... + textWithoutTags + ""; + newStr = replace(str,textWithTags,textWithCodeTags); + end + + function newStr = replaceTableMarkdown(str) + %REPLACETABLE replaces Markdown table with HTML table + % Accepts a scalar string array as input + % table must have the border for the header i.e. | --- | + + arguments + str string {mustBeTextScalar} + end + + % define table pattern + tblpat = lineBoundary + "|" + (" "|"-") + wildcardPattern(1,Inf) + (" "|"-") + "|" + lineBoundary; + % extract table + tblstr = extract(str,tblpat); + % table is not found, exit + if isempty(tblstr) + newStr = str; + return + end + try + % remove "|" at the beginning and end of a line + tblBordersPat = [lineBoundary+"|","|"+lineBoundary]; + trimmedTbl = strtrim(erase(strtrim(tblstr), tblBordersPat)); + % split each line by "|" + splittedTbl = arrayfun(@(x) (strtrim(split(x,"|")))', trimmedTbl, UniformOutput=false); + % get the number of columns in each line + numCols = cellfun(@numel, splittedTbl); + % find the header separator + separatorPat = optionalPattern(":") + asManyOfPattern(characterListPattern("-"),2) + optionalPattern(":"); + % the header is the 1 row up + headerRowIdx = find(cellfun(@(x) all(contains(x,separatorPat)), splittedTbl),1) - 1; + % lines with the same number of cols are in the table + rowIdx = numCols == numCols(headerRowIdx); + % extract table block and merge lines into a string + tblBlock = splittedTbl(rowIdx); + mergedTbl = vertcat(tblBlock{:}); + % extract header + theader = string(mergedTbl(1,:)); + % extract body + tbody = mergedTbl(3:end,:); + % generate table header + htmlTbl = "" + newline; + htmlTbl = htmlTbl + "" + newline; + htmlTbl = htmlTbl + "" + newline; + for ii = 1:numel(theader) + htmlTbl = htmlTbl + "" + newline; + end + htmlTbl = htmlTbl + "" + newline; + htmlTbl = htmlTbl + "" + newline; + % generate table body + htmlTbl = htmlTbl + "" + newline; + for ii = 1:size(tbody,1) + htmlTbl = htmlTbl + "" + newline; + for jj = 1:numel(theader) + htmlTbl = htmlTbl + "" + newline; + end + htmlTbl = htmlTbl + "" + newline; + end + htmlTbl = htmlTbl + "" + newline; + htmlTbl = htmlTbl + "
" + theader(ii) + "
" + tbody(ii,jj) + "
"; + % replace markdown table with html table + newStr = replace(str,join(tblstr,newline),htmlTbl); + catch + % if error, return the original string + newStr = str; + return + end + end + end +end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/chatGPT.m b/src/chatGPT/MatGPT/helpers/chatGPT.m new file mode 100644 index 0000000000..67087f8d91 --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/chatGPT.m @@ -0,0 +1,160 @@ +classdef chatGPT < handle + %CHATGPT defines a class to access ChatGPT API + % Create an instance using your own API key, and optionally + % max_tokens that determine the length of the response + % + % chat method lets you send a prompt text to the API as HTTP request + % and parses the response. + % + % Before using, set an environment variable with your OpenAI API key + % named OPENAI_API_KEY + % + % setenv("OPENAI_API_KEY","your key here") + + properties (Access = public) + % the API endpoint + api_endpoint = "https://api.openai.com/v1/chat/completions"; + % ChatGPT model to use - gpt-3.5-turbo, etc. + model; + % what role the bot should play + role; + % the max length of response + max_tokens; + % temperature = 0 precise, = 1 balanced, = 2 creative + temperature; + % store chat log in messages object + messages; + % store usage + completion_tokens = 0; + prompt_tokens = 0; + total_tokens = 0; + end + + methods + function obj = chatGPT(options) + %CHATGPT Constructor method to create an instance + % Set up an instance with optional parameters + + arguments + options.model string {mustBeTextScalar, ... + mustBeMember(options.model, ... + ["gpt-3.5-turbo","gpt-3.5-turbo-0613", ... + "gpt-4","gpt-4-0613", ... + "gpt-4-32k","gpt-4-32k-0613"])} = "gpt-3.5-turbo"; + options.role string {mustBeTextScalar} = ... + "You are a helpful assistant."; + options.max_tokens (1,1) double {mustBeNumeric, ... + mustBeLessThan(options.max_tokens,4096)} = 1000; + options.temperature (1,1) double {mustBeNumeric, ... + mustBeInRange(options.temperature,0,2)} = 1; + end + + obj.model = options.model; + obj.role = options.role; + obj.max_tokens = options.max_tokens; + obj.temperature = options.temperature; + obj.messages = struct('role',"system",'content',obj.role); + end + + function responseText = chat(obj,prompt) + %CHAT This send http requests to the api + % Pass the prompt as input argument to send the request + + arguments + obj + prompt string {mustBeTextScalar} + end + + % retrieve API key from the environment + api_key = getenv("OPENAI_API_KEY"); + if isempty(api_key) + id = "chatGPT:missingKey"; + msg = "No API key found in the enviroment variable" + newline; + msg = msg + "Before using, set an environment variable "; + msg = msg + "with your OpenAI API key as 'MY_OPENAI_KEY'"; + msg = msg + newline + newline + "setenv('OPENAI_API_KEY','your key here')"; + ME = MException(id,msg); + throw(ME) + end + + % constructing messages object that retains the chat history + % send user prompt with 'user' role + if ~isempty(obj.messages) + obj.messages = [obj.messages, ... + struct('role',"user",'content',prompt)]; + else + obj.messages = struct('role',"user",'content',prompt); + end + + % shorten calls to MATLAB HTTP interfaces + import matlab.net.* + import matlab.net.http.* + % construct http message content + query = struct('model',obj.model,'messages',obj.messages,'max_tokens',obj.max_tokens,'temperature',obj.temperature); + % the headers for the API request + headers = HeaderField('Content-Type', 'application/json'); + headers(2) = HeaderField('Authorization', "Bearer " + api_key); + % the request message + request = RequestMessage('post',headers,query); + % send the request and store the response + response = send(request, URI(obj.api_endpoint)); + % extract the response text + if response.StatusCode == "OK" + % extract text from the response + responseText = response.Body.Data.choices(1).message; + responseText = string(responseText.content); + responseText = strtrim(responseText); + % add the text to the messages with 'assistant' role + obj.messages = [obj.messages, ... + struct('role',"assistant",'content',responseText)]; + % add the tokens used + obj.completion_tokens = obj.completion_tokens + ... + response.Body.Data.usage.completion_tokens; + obj.prompt_tokens = obj.prompt_tokens + ... + response.Body.Data.usage.prompt_tokens; + obj.total_tokens = obj.total_tokens + ... + response.Body.Data.usage.total_tokens; + else + responseText = "Error "; + responseText = responseText + response.StatusCode + newline; + responseText = responseText + response.StatusLine.ReasonPhrase; + end + end + + function [completion_tokensd, prompt_tokens, total_tokens] = usage(obj) + %USAGE retunrs the number of tokens used + completion_tokensd = obj.completion_tokens; + prompt_tokens = obj.prompt_tokens; + total_tokens = obj.total_tokens; + end + + function saveChat(obj,options) + %SAVECHAT saves the chat history in a file + % Specify the format using .mat, .xlsx or .json + arguments + obj + options.format string {mustBeTextScalar, ... + mustBeMember(options.format, ... + [".mat",".xlsx",".json"])} = ".mat"; + end + if isempty(obj.messages) + warning("No chat history.") + else + if options.format == ".mat" + s = obj.messages; + save("chathistory.mat","s") + elseif options.format == ".xlsx" + tbl = struct2table(obj.messages); + writetable(tbl,"chathistory.xlsx") + elseif options.format == ".json" + json = jsonencode(obj.messages); + writelines(json,"chathistory.json") + else + error("Unknown format.") + end + end + + end + + end +end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/chatter.m b/src/chatGPT/MatGPT/helpers/chatter.m new file mode 100644 index 0000000000..c129962fdc --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/chatter.m @@ -0,0 +1,114 @@ +classdef chatter < chatGPT + %CHATTER extends chatGPT superclass + % This subclass adds a new method 'injectChatLog' + + methods + function responseText = chat(obj,prompt,options) + %CHAT This send http requests to the api + % Pass the prompt as input argument to send the request + % Only messages with valid roles are sent in messages object + arguments + obj + prompt string {mustBeTextScalar} + options.timeout double {mustBeScalarOrEmpty} + options.stop string {mustBeText,mustBeNonzeroLengthText} + end + + % retrieve API key from the environment + api_key = getenv("OPENAI_API_KEY"); + if isempty(api_key) + id = "chatter:missingKey"; + msg = "No API key found in the enviroment variable" + newline; + msg = msg + "Before using, set an environment variable "; + msg = msg + "with your OpenAI API key as 'MY_OPENAI_KEY'"; + msg = msg + newline + newline + "setenv('MY_OPENAI_KEY','your key here')"; + ME = MException(id,msg); + throw(ME) + end + + % constructing messages object that retains the chat history + % send user prompt with 'user' role + if ~isempty(obj.messages) + obj.messages = [obj.messages, ... + struct('role',"user",'content',prompt)]; + else + obj.messages = struct('role',"user",'content',prompt); + end + + % extract messages with valid roles + m = obj.messages; + roles = arrayfun(@(x) string(x.role),m); + m(~ismember(roles,["system","user","assistant"])) = []; + % shorten calls to MATLAB HTTP interfaces + import matlab.net.* + import matlab.net.http.* + % construct http message content + % + if isfield(options,'stop') + query = struct('model',obj.model,'messages',m,'max_tokens',obj.max_tokens,'temperature',obj.temperature,'stop',options.stop); + else + query = struct('model',obj.model,'messages',m,'max_tokens',obj.max_tokens,'temperature',obj.temperature); + end + % the headers for the API request + headers = HeaderField('Content-Type', 'application/json'); + headers(2) = HeaderField('Authorization', "Bearer " + api_key); + % the request message + request = RequestMessage('post',headers,query); + + % Create a HTTPOptions object; set proxy in MATLAB Web Preferences if needed + httpOpts = matlab.net.http.HTTPOptions; + % Set the ConnectTimeout option to 30 seconds + if isfield(options,'timeout') && options.timeout > 0 + httpOpts.ConnectTimeout = options.timeout; + end + % send the request and store the response + response = send(request, URI(obj.api_endpoint),httpOpts); + + % extract the response text + if response.StatusCode == "OK" + % extract text from the response + responseText = response.Body.Data.choices(1).message; + responseText = string(responseText.content); + responseText = strtrim(responseText); + % add the text to the messages with 'assistant' role + obj.messages = [obj.messages, ... + struct('role',"assistant",'content',responseText)]; + % add the numbers of tokens used + obj.completion_tokens = obj.completion_tokens + ... + response.Body.Data.usage.completion_tokens; + obj.prompt_tokens = obj.prompt_tokens + ... + response.Body.Data.usage.prompt_tokens; + obj.total_tokens = obj.total_tokens + ... + response.Body.Data.usage.total_tokens; + else + responseText = "Error "; + responseText = responseText + response.StatusCode + newline; + responseText = responseText + response.StatusLine.ReasonPhrase; + if string(response.StatusCode) == "401" + responseText = responseText + newline + "Check your API key."; + responseText = responseText + newline + "You may have an invalid API key."; + elseif string(response.StatusCode) == "404" + responseText = responseText + newline + "You may not have access to the model: " + ... + obj.model + ". Consider using another model."; + elseif string(response.StatusCode) == "429" + responseText = responseText + newline + "You exceeded the API limit. Your free trial for OpenAI API may have expired."; + end + id = "chatter:invalidKey"; + ME = MException(id,responseText); + throw(ME) + end + end + + function injectChatLog(obj,role,content) + %INJECTCHATLOG injects a message into messages object + % This method add a new message externally that hold + % information for display or record keeping and not to be + % sent to ChatGPT API. + % role must be something other than system, user or + % assistant. + if ~ismember(role, ["system","user","assistant"]) + obj.messages = [obj.messages,struct('role',role,'content',content)]; + end + end + end +end \ No newline at end of file From 0c2646a9d00484f521eef13114dcff8bb7df0bc4 Mon Sep 17 00:00:00 2001 From: Farid Zare Date: Sun, 17 Dec 2023 02:10:05 +0000 Subject: [PATCH 45/51] test --- src/chatGPT/MatGPT2/test1.txt | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/chatGPT/MatGPT2/test1.txt diff --git a/src/chatGPT/MatGPT2/test1.txt b/src/chatGPT/MatGPT2/test1.txt new file mode 100644 index 0000000000..e69de29bb2 From a862a58c9aa09087bf5f0422c04e2000a2e9fb62 Mon Sep 17 00:00:00 2001 From: Farid Zare Date: Sun, 17 Dec 2023 02:25:14 +0000 Subject: [PATCH 46/51] remove folders --- src/chatGPT/MatGPT/.gitattributes | 28 --- src/chatGPT/MatGPT/.gitignore | 4 - src/chatGPT/MatGPT/CONTRIBUTING.md | 25 -- src/chatGPT/MatGPT/LICENSE.txt | 21 -- src/chatGPT/MatGPT/MatGPT.mlapp | Bin 96274 -> 0 bytes src/chatGPT/MatGPT/README.md | 123 ---------- src/chatGPT/MatGPT/SECURITY.md | 3 - src/chatGPT/MatGPT/contents/index.html | 50 ---- src/chatGPT/MatGPT/contents/presets.csv | 288 ----------------------- src/chatGPT/MatGPT/contents/styles.css | 116 --------- src/chatGPT/MatGPT/helpers/CodeChecker.m | 268 --------------------- src/chatGPT/MatGPT/helpers/TextHelper.m | 174 -------------- src/chatGPT/MatGPT/helpers/chatGPT.m | 160 ------------- src/chatGPT/MatGPT/helpers/chatter.m | 114 --------- src/chatGPT/MatGPT2/test1.txt | 0 15 files changed, 1374 deletions(-) delete mode 100644 src/chatGPT/MatGPT/.gitattributes delete mode 100644 src/chatGPT/MatGPT/.gitignore delete mode 100644 src/chatGPT/MatGPT/CONTRIBUTING.md delete mode 100644 src/chatGPT/MatGPT/LICENSE.txt delete mode 100644 src/chatGPT/MatGPT/MatGPT.mlapp delete mode 100644 src/chatGPT/MatGPT/README.md delete mode 100644 src/chatGPT/MatGPT/SECURITY.md delete mode 100644 src/chatGPT/MatGPT/contents/index.html delete mode 100644 src/chatGPT/MatGPT/contents/presets.csv delete mode 100644 src/chatGPT/MatGPT/contents/styles.css delete mode 100644 src/chatGPT/MatGPT/helpers/CodeChecker.m delete mode 100644 src/chatGPT/MatGPT/helpers/TextHelper.m delete mode 100644 src/chatGPT/MatGPT/helpers/chatGPT.m delete mode 100644 src/chatGPT/MatGPT/helpers/chatter.m delete mode 100644 src/chatGPT/MatGPT2/test1.txt diff --git a/src/chatGPT/MatGPT/.gitattributes b/src/chatGPT/MatGPT/.gitattributes deleted file mode 100644 index d2bd0c966f..0000000000 --- a/src/chatGPT/MatGPT/.gitattributes +++ /dev/null @@ -1,28 +0,0 @@ -*.fig binary -*.mat binary -*.mdl binary diff merge=mlAutoMerge -*.mdlp binary -*.mexa64 binary -*.mexw64 binary -*.mexmaci64 binary -*.mlapp binary -*.mldatx binary -*.mlproj binary -*.mlx binary -*.p binary -*.sfx binary -*.sldd binary -*.slreqx binary merge=mlAutoMerge -*.slmx binary merge=mlAutoMerge -*.sltx binary -*.slxc binary -*.slx binary merge=mlAutoMerge -*.slxp binary - -## Other common binary file types -*.docx binary -*.exe binary -*.jpg binary -*.pdf binary -*.png binary -*.xlsx binary diff --git a/src/chatGPT/MatGPT/.gitignore b/src/chatGPT/MatGPT/.gitignore deleted file mode 100644 index 7371b76ea9..0000000000 --- a/src/chatGPT/MatGPT/.gitignore +++ /dev/null @@ -1,4 +0,0 @@ -*.mlx -contents/ChatData.mat -contents/GeneratedCode/ -helpers/*.asv \ No newline at end of file diff --git a/src/chatGPT/MatGPT/CONTRIBUTING.md b/src/chatGPT/MatGPT/CONTRIBUTING.md deleted file mode 100644 index e53523faa3..0000000000 --- a/src/chatGPT/MatGPT/CONTRIBUTING.md +++ /dev/null @@ -1,25 +0,0 @@ -# Contributing - ->_If you believe you have discovered a security vulnerability, please **do not** open an issue or make a pull request. Follow the instructions in the [SECURITY.MD](SECURITY.md) file in this repository._ - -Thank you for your interest in contributing to this repo. - -**Contributions do not have to be code!** If you see a way to explain things more clearly or a great example of how to use something, please contribute it (or a link to your content). We welcome issues even if you don't code the solution. We also welcome pull requests to resolve issues that we haven't gotten to yet! - -## How to contribute - -* **Open an issue:** Start by [creating an issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue) in the repository that you're interested in. That will start a conversation with the maintainer. When you are creating a bug report, please include as many details as possible. Please remember that other people do not have your background or understanding of the issue; make sure you are clear and complete in your description. -* **Work in your own public fork:** If you choose to make a contribution, you should [fork the repository](https://docs.github.com/en/get-started/quickstart/fork-a-repo). This creates an editable copy on GitHub where you can write, test, and refine your changes. We suggest that you keep your changes small and focused on the issue you submitted. -* **Sign a Contributor License Agreement (CLA):** We require that all outside contributors sign a [CLA](https://en.wikipedia.org/wiki/Contributor_License_Agreement) before we can accept your contribution. When you create a pull request (see below), we'll reach out to you if you do not already have one on file. Essentially, the CLA gives us permission to publish your contribution as part of the repository. -* **Make a pull request:** "[Pull Request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests)" is a confusing term, but it means exactly what it says: You're requesting that the maintainers of the repository pull your changes in. If you don't have a CLA on file, we'll reach out to you. Your contribution will be reviewed, and we may ask you to revise your pull request based on our feedback. Once everyone is satisfied, we'll merge your pull request into the repository. - -## Guidelines - -We don't have best practices for writing MATLAB® code, but we do have some recommendations: - -* You should not have any warnings or errors in the [code analyzer report](http://www.mathworks.com/help/matlab/matlab_prog/matlab-code-analyzer-report.html) -* [Loren Shure's blog](https://blogs.mathworks.com/loren) has [great advice on improving your MATLAB code](https://blogs.mathworks.com/loren/category/best-practice/) -* Examples should be written as [live scripts](https://www.mathworks.com/help/matlab/matlab_prog/what-is-a-live-script-or-function.html) and then [exported as HTML](https://www.mathworks.com/help/matlab/matlab_prog/share-live-scripts.html). -* We adhere to the [CommonMark](https://commonmark.org/) specification where it does not conflict with GitHub rendering. If you edit your Markdown in Visual Studio Code or a similar editor, it uses [markdownlint](https://github.com/DavidAnson/markdownlint) to highlight issues in your Markdown. - -**Again, thanks for contributing, and we look forward to your issues and pull requests!** diff --git a/src/chatGPT/MatGPT/LICENSE.txt b/src/chatGPT/MatGPT/LICENSE.txt deleted file mode 100644 index 2969c2a68e..0000000000 --- a/src/chatGPT/MatGPT/LICENSE.txt +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2023 Toshiaki Takeuchi - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/src/chatGPT/MatGPT/MatGPT.mlapp b/src/chatGPT/MatGPT/MatGPT.mlapp deleted file mode 100644 index f832dbb18497b0bfda503ef16d6e33afba77eba4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 96274 zcmZsiQ;aSQtggqlJ+lUDY<*+fwr$(CZQHhOt+8#}=RY?)*~xCwrfGWj+`a89F9iyQ z1_T5I^u9TH@IAV3B|sDFjf1;5>DF}1t7*_cn$C|cMiYueixSRfjM+9CHd=$ZFNcdS1 zN4odXzqtmX%iB{%-oXcU=$yCdf<=8|;GM!s68GF$%g5MRjr>DQn)W zdJ}qE>iXWYYzy*S27Y&AuA@N4B#||-;p0}?HjLu1(yGh3+?}K5t3GZwEK_C z88{FSED#!yo}-Di6FuGkufRY^|E>M+sQI@oJIH_rdFPc|c+Nwu7l;MHZaEkdq2TQ= zMIxj4$=B)iLK>JbWJUCbi+Yg!TwbV?{Q$#Tb9 zJnoq@8=v6_k<$uQF`VduqQorMnM~7Pd}c^BF93p&zUF9hxBf;OJ+&a}OZdC4d&nNL z%e6_>)QYTD2zK^T38X4hd?hAd2YhC5Do@bq8Dou<>>~;p{tY3l7pCt(r*?sJ1PG@I 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- - - \ No newline at end of file diff --git a/src/chatGPT/MatGPT/contents/presets.csv b/src/chatGPT/MatGPT/contents/presets.csv deleted file mode 100644 index 6ee4b4ec3b..0000000000 --- a/src/chatGPT/MatGPT/contents/presets.csv +++ /dev/null @@ -1,288 +0,0 @@ -name,content,prompt,model,max_tokens,temperature,test_code -AI Assistant,You are a helpful assistant. Answer as concisely as possible. ,Where is the capital of France?,gpt-3.5-turbo,1000,1,0 -English to MATLAB Code,You are a helpful assistant that generates MATLAB code using the latest features from R2021a or later. ,"Define two random vectors x and y, fit a linear model to the data, and plot both the data and fitted line.",gpt-3.5-turbo,1000,0,1 -English to Simulink Model,"You are a helpful assistant that creates Simulink models. -You create the models by generating MATLAB code that adds all the necessary blocks and set their parameters. -Automatically arrange the blocks by adding this line of code: -Simulink.BlockDiagram.arrangeSystem(model) -Save the model and run it.","Model name: 'sine_multiplied' -Add Sine Wave block with amplification = 1. -Multiply the sine wave signal by 3. -Add Scope block with 2 input ports. -Visualize both signals by connecting them to the same Scope block. ",gpt-3.5-turbo,1000,0,1 -Summarize Code,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and provide concise summary of what the code does. ,"Summarize what the following code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 does. - -```matlab -m = 0:.01:1; -T = -4:.01:25; -x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; -P=exp(-T/5)/2; -s=sinpi(P); -c=cospi(P); -y=2*m'.^5.*(1.6*m'-1).^2.*s; -S=x.*(m'.*s+y.*c); -X=S.*sinpi(T); -Y=S.*cospi(T); -Z=m'.*c+y.*s; -surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); -axis( 'equal','off') -view([0 33]) -colormap(flip(hot)) -shading('interp') -```",gpt-3.5-turbo,1000,0,0 -Explain Code Step by Step,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and explain the code step by step.,"Explain what the following code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 does. - -```matlab -m = 0:.01:1; -T = -4:.01:25; -x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; -P=exp(-T/5)/2; -s=sinpi(P); -c=cospi(P); -y=2*m'.^5.*(1.6*m'-1).^2.*s; -S=x.*(m'.*s+y.*c); -X=S.*sinpi(T); -Y=S.*cospi(T); -Z=m'.*c+y.*s; -surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); -axis( 'equal','off') -view([0 33]) -colormap(flip(hot)) -shading('interp') -```",gpt-3.5-turbo,1000,0,0 -Script to function,You are a friendly and helpful teaching assistant for MATLAB programmers. Convert MATLAB scripts to a local function and call the function using sample inputs. ,"Convert the following script by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 to a function, using m and T as input variables and set default values to those variables. - -```matlab -m = 0:.01:1; -T = -4:.01:25; -x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; -P=exp(-T/5)/2; -s=sinpi(P); -c=cospi(P); -y=2*m'.^5.*(1.6*m'-1).^2.*s; -S=x.*(m'.*s+y.*c); -X=S.*sinpi(T); -Y=S.*cospi(T); -Z=m'.*c+y.*s; -surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); -axis( 'equal','off') -view([0 33]) -colormap(flip(hot)) -shading('interp') -```",gpt-3.5-turbo,1000,0,1 -Write doc to function,"You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze a MATLAB function and add an elaborate, high quality docstring to the function.","Write useful docstring to this function derived from the code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418, using comment format %PLOTBLOOMINGLIGHTS does blah blah blah. - -```matlab -function plotBloomingLight(m,T) -arguments - m double {mustBeVector} = 0:.01:1; - T double {mustBeVector} = -4:.01:25; -end -x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; -P=exp(-T/5)/2; -s=sinpi(P); -c=cospi(P); -y=2*m'.^5.*(1.6*m'-1).^2.*s; -S=x.*(m'.*s+y.*c); -X=S.*sinpi(T); -Y=S.*cospi(T); -Z=m'.*c+y.*s; -surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); -axis( 'equal','off') -view([0 33]) -colormap(flip(hot)) -shading('interp') -end -```",gpt-3.5-turbo,1000,0,0 -Fix Bug,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze buggy MATLAB code and provide error free code using latest features from R2021a or later. ,"Fix bug in the following MATLAB code - -```matlab -% Buggy MATLAB code - -a = 1; b = 2; -function y = add(a, b) -y = ""a"" + b -end -``` - -% Fixed MATLAB code",gpt-3.5-turbo,1000,0,0 -Write Unit Tests,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB functions and write appropriate unit tests.,"Write unit tests for this function, - -```matlab -function y = add(a, b) -y = a + b -end -```",gpt-3.5-turbo,1000,0,0 -Vectorize Code,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and rewrite it to improve efficiency using vectorization rather than for loops.,"Vectorize the following code without using for loop. - -```matlab -i = 0; -for t = 0:.01:10 - i = i + 1; - y(i) = sin(t); -end -```",gpt-3.5-turbo,1000,0,1 -Act as MATLAB Command Window,"You are a MATLAB interpreter. I will give you MATLAB code, you'll reply with what the Command Window should show. Do not provide any explanations. Do not respond with anything except the output of the code. ","```matlab -x = (1:10)*2 -``` - -",gpt-3.5-turbo,1000,0,0 -Sentiment Analysis,You are a helpful assistant that helps data scientists by analyzing sentiment expressed in a given text.,"Decide whether sentiment is positive, neutral, or negative for the following text - -1. ""I can't stand homework"" -2. ""This sucks. I'm bored 😠"" -3. ""I can't wait for Halloween!!!"" -4. ""My cat is adorable ❤️❤️"" -5. ""I hate chocolate"" - -Text sentiment ratings:",gpt-3.5-turbo,1000,0,0 -Contact Extraction,You are a helpful assistant that helps data scientists by analyzing unstructured data and extract personally identifiable information.,"Extract the name and mailing address from this text: - -Dear Kelly, - -It was great to talk to you at the seminar. I thought Jane's talk was quite good. -Thank you for the book. Here's my address - -2111 Ash Lane, Crestview CA 92002 - -Best, - -Maya",gpt-3.5-turbo,1000,0,0 -Extract table from PDF,You are a helpful assistant that helps data scientists by analyzing unstructured data and recreate a table from the text extracted from a PDF file.,"format the following PDF data into a table. Start with a title, then the table and end with a footer citing the source. - -A(Percentage)verage annual export growth rates of creative goods, 2006−2020 - - - Region 2006−2010 2011−2015 - - Developing economies 9.8 4.9 - - Developed economies 1.5 0.2 - - Least developed countries 19.5 4.2 - - Small island developing States 12.8 -0.6 - - World – creative goods 5.1 2.7 - - World – all goods 3.6 -1.8 - - Source: UNCTAD based on UN COMTRADE Database. - - - 2016−2020 - - 2.0 - - 0.3 - - 38.3 - - -29.8 - - 1.2 - - 2.6 - - - 2006−2020 - - 5.9 - - 1.3 - - 10.1 - - -3.9 - - 3.5 - - 2.4 - - - 2020 - - -10.6 - - -14.9 - - -2.2 - - -48.5 - - -12.5 - - -7.2 - - - ",gpt-3.5-turbo,1000,0,0 -Top 10 SciFi movies,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a table of top 10 science fiction movies, their year of release, and box office gross. Name columns 'Title', 'Year', and 'Gross'.",gpt-3.5-turbo,1000,0,0 -San Francisco Weather,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a table of weather temperatures for San Francisco. -Name columns 'Month', 'High', and 'Low'. -Use abbreviated month names. Use numbers only for temperature using Fahrenheit.",gpt-3.5-turbo,1000,0,0 -Boston Housing Prices,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Housing prices are correlated with size of the house. -Create a table of housing prices in Boston based on square footage as size -with columns named 'Sqft' and 'Price' with 10 rows. Randomize the values in 'Sqft', -while maintaining the correlation to 'Price' with some variation.",gpt-3.5-turbo,1000,0,0 -Boston Landmarks,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a markdown table of famous landmarks in Boston - with latitude and longitude in decimal degrees, i.e. 42.361145, -71.057083 - Generate MATLAB Code that stores the data in variables landmarks, lat and lon. - Use geoscatter function to plot the data points. Annotate the data points with the names of the landmarks using text function. - Avoid using for loop.",gpt-3.5-turbo,1000,0,0 -Remove duplicate names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Here is a list of names. - -John Smith -William Davis -Sarah Brown -Thomas Miller -Julia Johnson -Adam White -David Taylor -Smith Paul -Davis William -Brown Jennifer - -Create a table with two columns from this list -that split the first name and last name. -If first name appears as last name, correct the order. -remove any duplicates. Show the table in markdown format.",gpt-3.5-turbo,1000,0,0 -Email Domains to Company Names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Identify legal company names based on the following domains - -1. @apple.com -2. @walmart.com -3. @exxonmobil.com -4. @berkshirehathaway.com -5. @amazon.com -6. @unitedhealthgroup.com -7. @cvs.com -8. @costco.com -9. @jpmorganchase.com -10. @home-depot.com -11. @mcdonalds.com -12. @chevron.com1 -13. @unitedparcelservice.com -14. @dell.com",gpt-3.5-turbo,1000,0,0 -Normalize University Names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Normalize the list of university names below. If a university has multiple names, apply the most common full name, not an abbreviation. - -CMU -Caltech -Carnegie Mellon UNiversity -Carnegie Mellon University -Cambrige -Cambridge University -Columbia -Columbia University -Cornell -Cornell University -Duke -Duke University -Duke Univiersity -Georgia Institute of Technolog -Georgia Institute of Technology -Georgia Tech -Georgia Tech. -Georgiatech -MIT -Massachusetts Institute of Technology - -",gpt-3.5-turbo,1000,0,0 diff --git a/src/chatGPT/MatGPT/contents/styles.css b/src/chatGPT/MatGPT/contents/styles.css deleted file mode 100644 index 4eab99705c..0000000000 --- a/src/chatGPT/MatGPT/contents/styles.css +++ /dev/null @@ -1,116 +0,0 @@ -.table { - display: table; - border-collapse: collapse; - width: 100%; - margin: 0px 0px 0px 0px; - font-size: 0.9em; - font-family: sans-serif; - min-width: 400px; -} - -.table-row { - display: table-row; - border-bottom: 1px solid #dddddd; -} - -.table-row:nth-of-type(even) { - background-color: #f3f3f3; -} - -.table-row:last-of-type { - border-bottom: 2px solid #104871; -} - -.table-cell, -.table-header { - display: table-cell; - padding: 12px 15px; - white-space: pre-wrap; -} - -.table-row.active-row { - font-weight: bold; - color: #104871; -} - -.table-header { - background-color: #104871; - color: #ffffff; - text-align: left; -} - -.code-block { - display: block; - font-size: 1.15em; - background-color: #dcebf3; - border: 1px solid #ccc; - padding: 10px; - margin: 0px 0px 0px 0px; -} - -.test-block-green { - display: block; - font-size: 1.15em; - background-color: #dcf3dc; - border: 1px solid #ccc; - padding: 10px; - margin: 0px 0px 0px 0px; -} - -.test-block-red { - display: block; - font-size: 1.15em; - background-color: #f3dcdc; - border: 1px solid #ccc; - padding: 10px; - margin: 0px 0px 0px 0px; -} - -.code-inline { - font-size: 1.25em; - font-weight: normal; -} - -.ml-figure { - max-width: 100%; - max-height: 100%; -} - -.test-report div { - margin-bottom: 10px; -} - -.test, -.figures, -.artifacts { - border: 1px solid #7d9dd6; - border-radius: 10px; - padding: 10px; -} - -table.resp { - width: 100%; - background-color: #ffffff; - border-collapse: collapse; - border-width: 2px; - border-color: #404040; - border-style: solid; - color: #000000; -} - -table.resp td, -table.resp th { - border-width: 2px; - border-color: #404040; - border-style: solid; - padding: 3px; -} - -table.resp thead { - background-color: #404040; - color: #ffffff; -} - -tr:nth-child(even) { - background-color: #f2f2f2; -} diff --git a/src/chatGPT/MatGPT/helpers/CodeChecker.m b/src/chatGPT/MatGPT/helpers/CodeChecker.m deleted file mode 100644 index 1949890699..0000000000 --- a/src/chatGPT/MatGPT/helpers/CodeChecker.m +++ /dev/null @@ -1,268 +0,0 @@ -classdef CodeChecker < handle - % CODECHECKER - Class for evaluating code from ChatGPT - % CodeChecker is a class that can extract code from ChatGPT - % responses, run the code with a unit testing framework, and return - % the test results in a format for display in a chat window. Each - % input message from ChatGPT gets its own test folder to hold the - % generated code and artifacts like test results and images - % - % Example: - % - % % Get a message from ChatGPT - % myBot = chatGPT(); - % response = send(myBot,"Create a bar plot in MATLAB."); - % - % % Create object - % checker = CodeChecker(response); - % - % % Check code for validity and display test report - % runChecks(checker); - % report = checker.Report; - - properties (SetAccess=private) - ChatResponse % ChatGPT response that may have code - OutputFolder % Full path with test results - Results % Table with code check results - Timestamp % Unique string with current time to use for names - Artifacts % List of files generated by the checks - ErrorMessages % Cell str of any error messages from results - Report % String with the nicely formatted results - end - - methods - %% Constructor - function obj = CodeChecker(inputStr,pathStr) - %CODECHECKER Constructs an instance of this class - % checker = CodeChecker(message) creates an instance - % of the CodeChecker class given a response from - % ChatGPT in the string "message". - arguments - inputStr string {mustBeTextScalar} - pathStr string {mustBeTextScalar} = ""; - end - obj.ChatResponse = inputStr; - if pathStr == "" - s = dir; - pathStr = s(1).folder; - end - % Construct a unique output folder name using a timstamp - obj.Timestamp = string(datetime('now','Format','yyyy-MM-dd''T''HH-mm-SS')); - obj.OutputFolder = fullfile(pathStr,"contents","GeneratedCode","Test-" + obj.Timestamp); - - % Empty Results table - obj.Results = []; - end - end - methods (Access=public) - function runChecks(obj) - % RUNCHECKS - Run generated code and check for errors - % runChecks(obj) will run each piece of generated code. NOTE: - % This function does not check generated code for - % correctness, just validity - - % make the output folder - mkdir(obj.OutputFolder) - - % Get list of current files so we know which artifacts to move - % to the output folder - filesBefore = dir(); - - % save code files and get their names for testing; - saveCodeFiles(obj); - - % Run all test files - runCodeFiles(obj); - - % Move all newly generated files - filesAfter = dir(); - obj.Artifacts = string(setdiff({filesAfter.name},{filesBefore.name})); - for i = 1:length(obj.Artifacts) - movefile(obj.Artifacts(i),obj.OutputFolder) - end - - % Fill the results properties like Report and ErrorMessages - processResults(obj) - end - end - - methods(Access=private) - function saveCodeFiles(obj) - % SAVECODEFILES Saves M-files for testing - % saveCodeFiles(obj) will parse the ChatResponse propety for - % code blocks and save them to separate M-files with unique - % names in the OutputFolder property location - - % Extract code blocks - [startTag,endTag] = TextHelper.codeBlockPattern(); - codeBlocks = extractBetween(obj.ChatResponse,startTag,endTag); - - % Create Results table - obj.Results = table('Size',[length(codeBlocks) 4],'VariableTypes',["string","string","string","logical"], ... - 'VariableNames',["ScriptName","ScriptContents","ScriptOutput","IsError"]); - obj.Results.ScriptContents = codeBlocks; - - % Save code blocks to M-files - for i = 1:height(obj.Results) - % Open file with the function name or a generic test name. - obj.Results.ScriptName(i) = "Test" + i + "_" + replace(obj.Timestamp,"-","_"); - fid = fopen(obj.Results.ScriptName(i) + ".m","w"); - - % Add the code to the file - fprintf(fid,"%s",obj.Results.ScriptContents(i)); - fclose(fid); - end - end - - function runCodeFiles(obj) - % RUNCODEFILES - Tries to run all the generated scripts and - % captures outputs/figures - - % Before tests, make existing figure handles invisible - figsBefore = findobj('Type','figure'); - for i = 1:length(figsBefore) - figsBefore(i).HandleVisibility = "off"; - end - - % Also check for open and closed Simulink files - addOns = matlab.addons.installedAddons; - addOns = addOns(addOns.Name=="Simulink",:); - hasSimulink = ~isdeployed && ~isempty(addOns) && addOns.Enabled; - if hasSimulink - BDsBefore = find_system('SearchDepth',0); - SLXsBefore = dir("*.slx"); - SLXsBefore = {SLXsBefore.name}'; - end - - % Iterate through scripts. Run the code and capture any output - for i = 1:height(obj.Results) - try - output = evalc(obj.Results.ScriptName(i)); - if isempty(output) - output = "This code did not produce any output"; - end - obj.Results.ScriptOutput(i) = output; - catch ME - obj.Results.IsError(i) = true; - obj.Results.ScriptOutput(i) = TextHelper.shortErrorReport(ME); - end - end - - % Find newly Simulink models - if hasSimulink - BDsNew = setdiff(find_system("SearchDepth",0),BDsBefore); - BDsNew(BDsNew=="simulink") = []; - SLXsfiles = dir("*.slx"); - SLXsNew = setdiff({SLXsfiles.name}',SLXsBefore); - SLXsNew = extractBefore(SLXsNew,".slx"); - - % Load the new SLX-files. Add to list of new BDs - for i = 1:length(SLXsNew) - load_system(SLXsNew{i}); - end - BDsNew = union(BDsNew,SLXsNew); - - % Print screenshots for the new BDs. Then save and close them - for i = 1:length(BDsNew) - print("-s" + BDsNew{i},"-dpng",BDsNew{i} + ".png"); - save_system(BDsNew{i}); - close_system(BDsNew{i}); - end - end - - % Save new figures as png and reset the old figures as visible - figsAfter = findobj("Type","figure"); - for i = 1:length(figsAfter) - saveas(figsAfter(i),"Figure" + i + ".png"); - end - for i = 1:length(figsBefore) - figsBefore(i).HandleVisibility = "on"; - end - end - - function processResults(obj) - % PROCESSRESULTS - Process the test results - % - % processResults(obj) will assign values to the properties - % Report and ErrorMessages. obj.Report is a string with a - % nicely formatted report, and obj.ErrorMessages is a cellstr - % with any error messages - % - - % Get the error messages from the Results table - obj.ErrorMessages = obj.Results.ScriptOutput(obj.Results.IsError); - - % Set up the report header - numBlocks = height(obj.Results); - numErrors = length(obj.ErrorMessages); - reportHeader = sprintf(['

Here are the test results. ' ... - 'There were %d code blocks tested and %d errors.

'], ... - numBlocks,numErrors); - - % Handle plurals - if numBlocks == 1 - reportHeader = replace(reportHeader,'were','was'); - reportHeader = replace(reportHeader,'blocks','block'); - end - if numErrors == 1 - reportHeader = replace(reportHeader,'errors','error'); - end - - % Loop through results table to make the report - testReport = reportHeader; - for i = 1:height(obj.Results) - - % Start the report with the script name - testReport = [testReport sprintf('

Test: %s

', ... - obj.Results.ScriptName(i))]; %#ok - - % Use error style if code produced an error - codeBlockClass = "test-block-green"; - if obj.Results.IsError(i) - codeBlockClass = "test-block-red"; - end - - % Add code - testReport = [testReport sprintf('%%%% Code: \n\n%s\n\n', ... - codeBlockClass,obj.Results.ScriptContents(i))]; %#ok - - % Add output - testReport = [testReport sprintf('%%%% Command Window Output: \n\n%s', ... - obj.Results.ScriptOutput(i))]; %#ok - - % Add the closing tags - testReport = [testReport '
']; %#ok - end - - % Show any image artifacts - imageFiles = obj.Artifacts(contains(obj.Artifacts,".png")); - folders = split(obj.OutputFolder,filesep); - if ~isempty(imageFiles) - testReport = [testReport '

Figures

']; - for i = 1:length(imageFiles) - % Get the relative path of the image. Assumes that the HTML - % file is at the same level as the "GeneratedCode" folder - relativePath = fullfile(folders(end-1),folders(end),imageFiles(i)); - relativePath = replace(relativePath,'\','/'); - - % Assemble the html code for displaying the image - testReport = [testReport sprintf('
',relativePath)]; %#ok - end - testReport = [testReport '
']; - end - - % List the artifacts - testReport = [testReport '

Artifacts

']; - testReport = [testReport sprintf('The following artifacts were saved to: %s\n\n',obj.OutputFolder)]; - for i = 1:length(obj.Artifacts) - testReport = [testReport sprintf(' %s\n',obj.Artifacts(i))]; %#ok - end - testReport = [testReport '
']; - - % Close the initial div for the overall report - testReport = [testReport '
']; - - % Assign testReport to Report property - obj.Report = testReport; - end - end -end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/TextHelper.m b/src/chatGPT/MatGPT/helpers/TextHelper.m deleted file mode 100644 index dff8ac7720..0000000000 --- a/src/chatGPT/MatGPT/helpers/TextHelper.m +++ /dev/null @@ -1,174 +0,0 @@ -classdef TextHelper - %TEXTHELPER Collection of static methods for text processing - % TextHelper has multiple static methods that can be used for the - % weird text processing used by MatGPT - - methods (Access=public,Static) - %% codeBlockPattern - function [startPat,endPat] = codeBlockPattern() - % CODEBLOCKPATTERN - text matching pattern for the code blocks in backticks - % - % [startPat,endPat] = codeBlockPattern returns some start and end - % patterns for the backticks so you can use for - - % Code blocks start and end with 3 backticks - backticks = "```"; - startPat = backticks + wildcardPattern + newline; - endPat = newline + backticks + (newline|textBoundary); - end - - %% exceptionReport - function report = shortErrorReport(ME) - % shortErrorReport - get a shortened report from MException - % - % report = shortErrorReport(ME) will use the getReport method - % from MException input and shorten it to show the error - % message and first stack entry - - % Get full report from MException object and remove HTML tags - report = getReport(ME); - report = TextHelper.removeHTMLtags(report); - - % Count occurrences of "Error" (how big is the Stack) - errorPattern = "Error" + wildcardPattern(Except="Error"); - stackCount = count(report,errorPattern); - - % Construct pattern to match all but the first stack entry - allButFirstError = asManyOfPattern(errorPattern,1,stackCount-1) + textBoundary; - - % Extract before the constructed pattern. - report = extractBefore(report,allButFirstError); - end - - function str = removeHTMLtags(str) - % removeHTMLtags - removes all HTML tags from a string. This is - % usefull because MATLAB's error messages often come with - % hyperlinks. This function removes them. - htmlTags = "<" + wildcardPattern + ">"; - str = erase(str,htmlTags); - end - - function newStr = replaceCodeMarkdown(str,options) - % replaceCodeMarkdown - Replaces ``` markdown with tags - % - % newStr = replaceCodeMarkdown(str) will parse the input str - % and replace any code blocks enclosed in backticks ``` with - % tags using the style class "code-block" - % - % newStr = replaceCodeBlocks(___,type=T) specifies the type - % of markdown to replace or the specific tag used: - % "block" - (default) code enclosed in "```" - % "inline" - code enclosed in "`" - % T - code enclosed in the string stored in T - % - % newStr = replaceCodeBlocks(___,className=C) specifies the - % class name used in the code tag in a string. Default is - % "code-block" - % - % Example input: - % - % ```matlab - % x = 1; - % ``` - % - % Example output: - % - % x=1; - % - arguments - str string {mustBeTextScalar} - options.type string {mustBeTextScalar} = "block" - options.className string {mustBeTextScalar} = "code-block"; - end - - switch options.type - case "block" - [startTag,endTag] = TextHelper.codeBlockPattern(); - case "inline" - startTag = "`"; - endTag = "`"; - otherwise - startTag = options.type; - endTag = options.type; - end - - % Extract text with and without the tgs - textWithoutTags = extractBetween(str,startTag,endTag); - textWithTags = extractBetween(str,startTag,endTag, ... - Boundaries="inclusive"); - - % Replace the blocks with backticks with alternae versions - textWithCodeTags = "" + ... - textWithoutTags + ""; - newStr = replace(str,textWithTags,textWithCodeTags); - end - - function newStr = replaceTableMarkdown(str) - %REPLACETABLE replaces Markdown table with HTML table - % Accepts a scalar string array as input - % table must have the border for the header i.e. | --- | - - arguments - str string {mustBeTextScalar} - end - - % define table pattern - tblpat = lineBoundary + "|" + (" "|"-") + wildcardPattern(1,Inf) + (" "|"-") + "|" + lineBoundary; - % extract table - tblstr = extract(str,tblpat); - % table is not found, exit - if isempty(tblstr) - newStr = str; - return - end - try - % remove "|" at the beginning and end of a line - tblBordersPat = [lineBoundary+"|","|"+lineBoundary]; - trimmedTbl = strtrim(erase(strtrim(tblstr), tblBordersPat)); - % split each line by "|" - splittedTbl = arrayfun(@(x) (strtrim(split(x,"|")))', trimmedTbl, UniformOutput=false); - % get the number of columns in each line - numCols = cellfun(@numel, splittedTbl); - % find the header separator - separatorPat = optionalPattern(":") + asManyOfPattern(characterListPattern("-"),2) + optionalPattern(":"); - % the header is the 1 row up - headerRowIdx = find(cellfun(@(x) all(contains(x,separatorPat)), splittedTbl),1) - 1; - % lines with the same number of cols are in the table - rowIdx = numCols == numCols(headerRowIdx); - % extract table block and merge lines into a string - tblBlock = splittedTbl(rowIdx); - mergedTbl = vertcat(tblBlock{:}); - % extract header - theader = string(mergedTbl(1,:)); - % extract body - tbody = mergedTbl(3:end,:); - % generate table header - htmlTbl = "" + newline; - htmlTbl = htmlTbl + "" + newline; - htmlTbl = htmlTbl + "" + newline; - for ii = 1:numel(theader) - htmlTbl = htmlTbl + "" + newline; - end - htmlTbl = htmlTbl + "" + newline; - htmlTbl = htmlTbl + "" + newline; - % generate table body - htmlTbl = htmlTbl + "" + newline; - for ii = 1:size(tbody,1) - htmlTbl = htmlTbl + "" + newline; - for jj = 1:numel(theader) - htmlTbl = htmlTbl + "" + newline; - end - htmlTbl = htmlTbl + "" + newline; - end - htmlTbl = htmlTbl + "" + newline; - htmlTbl = htmlTbl + "
" + theader(ii) + "
" + tbody(ii,jj) + "
"; - % replace markdown table with html table - newStr = replace(str,join(tblstr,newline),htmlTbl); - catch - % if error, return the original string - newStr = str; - return - end - end - end -end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/chatGPT.m b/src/chatGPT/MatGPT/helpers/chatGPT.m deleted file mode 100644 index 67087f8d91..0000000000 --- a/src/chatGPT/MatGPT/helpers/chatGPT.m +++ /dev/null @@ -1,160 +0,0 @@ -classdef chatGPT < handle - %CHATGPT defines a class to access ChatGPT API - % Create an instance using your own API key, and optionally - % max_tokens that determine the length of the response - % - % chat method lets you send a prompt text to the API as HTTP request - % and parses the response. - % - % Before using, set an environment variable with your OpenAI API key - % named OPENAI_API_KEY - % - % setenv("OPENAI_API_KEY","your key here") - - properties (Access = public) - % the API endpoint - api_endpoint = "https://api.openai.com/v1/chat/completions"; - % ChatGPT model to use - gpt-3.5-turbo, etc. - model; - % what role the bot should play - role; - % the max length of response - max_tokens; - % temperature = 0 precise, = 1 balanced, = 2 creative - temperature; - % store chat log in messages object - messages; - % store usage - completion_tokens = 0; - prompt_tokens = 0; - total_tokens = 0; - end - - methods - function obj = chatGPT(options) - %CHATGPT Constructor method to create an instance - % Set up an instance with optional parameters - - arguments - options.model string {mustBeTextScalar, ... - mustBeMember(options.model, ... - ["gpt-3.5-turbo","gpt-3.5-turbo-0613", ... - "gpt-4","gpt-4-0613", ... - "gpt-4-32k","gpt-4-32k-0613"])} = "gpt-3.5-turbo"; - options.role string {mustBeTextScalar} = ... - "You are a helpful assistant."; - options.max_tokens (1,1) double {mustBeNumeric, ... - mustBeLessThan(options.max_tokens,4096)} = 1000; - options.temperature (1,1) double {mustBeNumeric, ... - mustBeInRange(options.temperature,0,2)} = 1; - end - - obj.model = options.model; - obj.role = options.role; - obj.max_tokens = options.max_tokens; - obj.temperature = options.temperature; - obj.messages = struct('role',"system",'content',obj.role); - end - - function responseText = chat(obj,prompt) - %CHAT This send http requests to the api - % Pass the prompt as input argument to send the request - - arguments - obj - prompt string {mustBeTextScalar} - end - - % retrieve API key from the environment - api_key = getenv("OPENAI_API_KEY"); - if isempty(api_key) - id = "chatGPT:missingKey"; - msg = "No API key found in the enviroment variable" + newline; - msg = msg + "Before using, set an environment variable "; - msg = msg + "with your OpenAI API key as 'MY_OPENAI_KEY'"; - msg = msg + newline + newline + "setenv('OPENAI_API_KEY','your key here')"; - ME = MException(id,msg); - throw(ME) - end - - % constructing messages object that retains the chat history - % send user prompt with 'user' role - if ~isempty(obj.messages) - obj.messages = [obj.messages, ... - struct('role',"user",'content',prompt)]; - else - obj.messages = struct('role',"user",'content',prompt); - end - - % shorten calls to MATLAB HTTP interfaces - import matlab.net.* - import matlab.net.http.* - % construct http message content - query = struct('model',obj.model,'messages',obj.messages,'max_tokens',obj.max_tokens,'temperature',obj.temperature); - % the headers for the API request - headers = HeaderField('Content-Type', 'application/json'); - headers(2) = HeaderField('Authorization', "Bearer " + api_key); - % the request message - request = RequestMessage('post',headers,query); - % send the request and store the response - response = send(request, URI(obj.api_endpoint)); - % extract the response text - if response.StatusCode == "OK" - % extract text from the response - responseText = response.Body.Data.choices(1).message; - responseText = string(responseText.content); - responseText = strtrim(responseText); - % add the text to the messages with 'assistant' role - obj.messages = [obj.messages, ... - struct('role',"assistant",'content',responseText)]; - % add the tokens used - obj.completion_tokens = obj.completion_tokens + ... - response.Body.Data.usage.completion_tokens; - obj.prompt_tokens = obj.prompt_tokens + ... - response.Body.Data.usage.prompt_tokens; - obj.total_tokens = obj.total_tokens + ... - response.Body.Data.usage.total_tokens; - else - responseText = "Error "; - responseText = responseText + response.StatusCode + newline; - responseText = responseText + response.StatusLine.ReasonPhrase; - end - end - - function [completion_tokensd, prompt_tokens, total_tokens] = usage(obj) - %USAGE retunrs the number of tokens used - completion_tokensd = obj.completion_tokens; - prompt_tokens = obj.prompt_tokens; - total_tokens = obj.total_tokens; - end - - function saveChat(obj,options) - %SAVECHAT saves the chat history in a file - % Specify the format using .mat, .xlsx or .json - arguments - obj - options.format string {mustBeTextScalar, ... - mustBeMember(options.format, ... - [".mat",".xlsx",".json"])} = ".mat"; - end - if isempty(obj.messages) - warning("No chat history.") - else - if options.format == ".mat" - s = obj.messages; - save("chathistory.mat","s") - elseif options.format == ".xlsx" - tbl = struct2table(obj.messages); - writetable(tbl,"chathistory.xlsx") - elseif options.format == ".json" - json = jsonencode(obj.messages); - writelines(json,"chathistory.json") - else - error("Unknown format.") - end - end - - end - - end -end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/chatter.m b/src/chatGPT/MatGPT/helpers/chatter.m deleted file mode 100644 index c129962fdc..0000000000 --- a/src/chatGPT/MatGPT/helpers/chatter.m +++ /dev/null @@ -1,114 +0,0 @@ -classdef chatter < chatGPT - %CHATTER extends chatGPT superclass - % This subclass adds a new method 'injectChatLog' - - methods - function responseText = chat(obj,prompt,options) - %CHAT This send http requests to the api - % Pass the prompt as input argument to send the request - % Only messages with valid roles are sent in messages object - arguments - obj - prompt string {mustBeTextScalar} - options.timeout double {mustBeScalarOrEmpty} - options.stop string {mustBeText,mustBeNonzeroLengthText} - end - - % retrieve API key from the environment - api_key = getenv("OPENAI_API_KEY"); - if isempty(api_key) - id = "chatter:missingKey"; - msg = "No API key found in the enviroment variable" + newline; - msg = msg + "Before using, set an environment variable "; - msg = msg + "with your OpenAI API key as 'MY_OPENAI_KEY'"; - msg = msg + newline + newline + "setenv('MY_OPENAI_KEY','your key here')"; - ME = MException(id,msg); - throw(ME) - end - - % constructing messages object that retains the chat history - % send user prompt with 'user' role - if ~isempty(obj.messages) - obj.messages = [obj.messages, ... - struct('role',"user",'content',prompt)]; - else - obj.messages = struct('role',"user",'content',prompt); - end - - % extract messages with valid roles - m = obj.messages; - roles = arrayfun(@(x) string(x.role),m); - m(~ismember(roles,["system","user","assistant"])) = []; - % shorten calls to MATLAB HTTP interfaces - import matlab.net.* - import matlab.net.http.* - % construct http message content - % - if isfield(options,'stop') - query = struct('model',obj.model,'messages',m,'max_tokens',obj.max_tokens,'temperature',obj.temperature,'stop',options.stop); - else - query = struct('model',obj.model,'messages',m,'max_tokens',obj.max_tokens,'temperature',obj.temperature); - end - % the headers for the API request - headers = HeaderField('Content-Type', 'application/json'); - headers(2) = HeaderField('Authorization', "Bearer " + api_key); - % the request message - request = RequestMessage('post',headers,query); - - % Create a HTTPOptions object; set proxy in MATLAB Web Preferences if needed - httpOpts = matlab.net.http.HTTPOptions; - % Set the ConnectTimeout option to 30 seconds - if isfield(options,'timeout') && options.timeout > 0 - httpOpts.ConnectTimeout = options.timeout; - end - % send the request and store the response - response = send(request, URI(obj.api_endpoint),httpOpts); - - % extract the response text - if response.StatusCode == "OK" - % extract text from the response - responseText = response.Body.Data.choices(1).message; - responseText = string(responseText.content); - responseText = strtrim(responseText); - % add the text to the messages with 'assistant' role - obj.messages = [obj.messages, ... - struct('role',"assistant",'content',responseText)]; - % add the numbers of tokens used - obj.completion_tokens = obj.completion_tokens + ... - response.Body.Data.usage.completion_tokens; - obj.prompt_tokens = obj.prompt_tokens + ... - response.Body.Data.usage.prompt_tokens; - obj.total_tokens = obj.total_tokens + ... - response.Body.Data.usage.total_tokens; - else - responseText = "Error "; - responseText = responseText + response.StatusCode + newline; - responseText = responseText + response.StatusLine.ReasonPhrase; - if string(response.StatusCode) == "401" - responseText = responseText + newline + "Check your API key."; - responseText = responseText + newline + "You may have an invalid API key."; - elseif string(response.StatusCode) == "404" - responseText = responseText + newline + "You may not have access to the model: " + ... - obj.model + ". Consider using another model."; - elseif string(response.StatusCode) == "429" - responseText = responseText + newline + "You exceeded the API limit. Your free trial for OpenAI API may have expired."; - end - id = "chatter:invalidKey"; - ME = MException(id,responseText); - throw(ME) - end - end - - function injectChatLog(obj,role,content) - %INJECTCHATLOG injects a message into messages object - % This method add a new message externally that hold - % information for display or record keeping and not to be - % sent to ChatGPT API. - % role must be something other than system, user or - % assistant. - if ~ismember(role, ["system","user","assistant"]) - obj.messages = [obj.messages,struct('role',role,'content',content)]; - end - end - end -end \ No newline at end of file diff --git a/src/chatGPT/MatGPT2/test1.txt b/src/chatGPT/MatGPT2/test1.txt deleted file mode 100644 index e69de29bb2..0000000000 From 196f8e648966d759610c7f3c4fcc4bdf2cc0fc45 Mon Sep 17 00:00:00 2001 From: Farid Zare Date: Sun, 17 Dec 2023 02:28:42 +0000 Subject: [PATCH 47/51] remove unwanted files --- src/chatGPT/MatGPT/.gitattributes | 28 +++ src/chatGPT/MatGPT/.gitignore | 4 + src/chatGPT/MatGPT/CONTRIBUTING.md | 25 ++ src/chatGPT/MatGPT/LICENSE.txt | 21 ++ src/chatGPT/MatGPT/MatGPT.mlapp | Bin 0 -> 96274 bytes src/chatGPT/MatGPT/README.md | 123 ++++++++++ src/chatGPT/MatGPT/SECURITY.md | 3 + src/chatGPT/MatGPT/contents/index.html | 50 ++++ src/chatGPT/MatGPT/contents/presets.csv | 288 +++++++++++++++++++++++ src/chatGPT/MatGPT/contents/styles.css | 116 +++++++++ src/chatGPT/MatGPT/helpers/CodeChecker.m | 268 +++++++++++++++++++++ src/chatGPT/MatGPT/helpers/TextHelper.m | 174 ++++++++++++++ src/chatGPT/MatGPT/helpers/chatGPT.m | 160 +++++++++++++ src/chatGPT/MatGPT/helpers/chatter.m | 114 +++++++++ 14 files changed, 1374 insertions(+) create mode 100644 src/chatGPT/MatGPT/.gitattributes create mode 100644 src/chatGPT/MatGPT/.gitignore create mode 100644 src/chatGPT/MatGPT/CONTRIBUTING.md create mode 100644 src/chatGPT/MatGPT/LICENSE.txt create mode 100644 src/chatGPT/MatGPT/MatGPT.mlapp create mode 100644 src/chatGPT/MatGPT/README.md create mode 100644 src/chatGPT/MatGPT/SECURITY.md create mode 100644 src/chatGPT/MatGPT/contents/index.html create mode 100644 src/chatGPT/MatGPT/contents/presets.csv create mode 100644 src/chatGPT/MatGPT/contents/styles.css create mode 100644 src/chatGPT/MatGPT/helpers/CodeChecker.m create mode 100644 src/chatGPT/MatGPT/helpers/TextHelper.m create mode 100644 src/chatGPT/MatGPT/helpers/chatGPT.m create mode 100644 src/chatGPT/MatGPT/helpers/chatter.m diff --git a/src/chatGPT/MatGPT/.gitattributes b/src/chatGPT/MatGPT/.gitattributes new file mode 100644 index 0000000000..d2bd0c966f --- /dev/null +++ b/src/chatGPT/MatGPT/.gitattributes @@ -0,0 +1,28 @@ +*.fig binary +*.mat binary +*.mdl binary diff merge=mlAutoMerge +*.mdlp binary +*.mexa64 binary +*.mexw64 binary +*.mexmaci64 binary +*.mlapp binary +*.mldatx binary +*.mlproj binary +*.mlx binary +*.p binary +*.sfx binary +*.sldd binary +*.slreqx binary merge=mlAutoMerge +*.slmx binary merge=mlAutoMerge +*.sltx binary +*.slxc binary +*.slx binary merge=mlAutoMerge +*.slxp binary + +## Other common binary file types +*.docx binary +*.exe binary +*.jpg binary +*.pdf binary +*.png binary +*.xlsx binary diff --git a/src/chatGPT/MatGPT/.gitignore b/src/chatGPT/MatGPT/.gitignore new file mode 100644 index 0000000000..7371b76ea9 --- /dev/null +++ b/src/chatGPT/MatGPT/.gitignore @@ -0,0 +1,4 @@ +*.mlx +contents/ChatData.mat +contents/GeneratedCode/ +helpers/*.asv \ No newline at end of file diff --git a/src/chatGPT/MatGPT/CONTRIBUTING.md b/src/chatGPT/MatGPT/CONTRIBUTING.md new file mode 100644 index 0000000000..e53523faa3 --- /dev/null +++ b/src/chatGPT/MatGPT/CONTRIBUTING.md @@ -0,0 +1,25 @@ +# Contributing + +>_If you believe you have discovered a security vulnerability, please **do not** open an issue or make a pull request. Follow the instructions in the [SECURITY.MD](SECURITY.md) file in this repository._ + +Thank you for your interest in contributing to this repo. + +**Contributions do not have to be code!** If you see a way to explain things more clearly or a great example of how to use something, please contribute it (or a link to your content). We welcome issues even if you don't code the solution. We also welcome pull requests to resolve issues that we haven't gotten to yet! + +## How to contribute + +* **Open an issue:** Start by [creating an issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue) in the repository that you're interested in. That will start a conversation with the maintainer. When you are creating a bug report, please include as many details as possible. Please remember that other people do not have your background or understanding of the issue; make sure you are clear and complete in your description. +* **Work in your own public fork:** If you choose to make a contribution, you should [fork the repository](https://docs.github.com/en/get-started/quickstart/fork-a-repo). This creates an editable copy on GitHub where you can write, test, and refine your changes. We suggest that you keep your changes small and focused on the issue you submitted. +* **Sign a Contributor License Agreement (CLA):** We require that all outside contributors sign a [CLA](https://en.wikipedia.org/wiki/Contributor_License_Agreement) before we can accept your contribution. When you create a pull request (see below), we'll reach out to you if you do not already have one on file. Essentially, the CLA gives us permission to publish your contribution as part of the repository. +* **Make a pull request:** "[Pull Request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests)" is a confusing term, but it means exactly what it says: You're requesting that the maintainers of the repository pull your changes in. If you don't have a CLA on file, we'll reach out to you. Your contribution will be reviewed, and we may ask you to revise your pull request based on our feedback. Once everyone is satisfied, we'll merge your pull request into the repository. + +## Guidelines + +We don't have best practices for writing MATLAB® code, but we do have some recommendations: + +* You should not have any warnings or errors in the [code analyzer report](http://www.mathworks.com/help/matlab/matlab_prog/matlab-code-analyzer-report.html) +* [Loren Shure's blog](https://blogs.mathworks.com/loren) has [great advice on improving your MATLAB code](https://blogs.mathworks.com/loren/category/best-practice/) +* Examples should be written as [live scripts](https://www.mathworks.com/help/matlab/matlab_prog/what-is-a-live-script-or-function.html) and then [exported as HTML](https://www.mathworks.com/help/matlab/matlab_prog/share-live-scripts.html). +* We adhere to the [CommonMark](https://commonmark.org/) specification where it does not conflict with GitHub rendering. If you edit your Markdown in Visual Studio Code or a similar editor, it uses [markdownlint](https://github.com/DavidAnson/markdownlint) to highlight issues in your Markdown. + +**Again, thanks for contributing, and we look forward to your issues and pull requests!** diff --git a/src/chatGPT/MatGPT/LICENSE.txt b/src/chatGPT/MatGPT/LICENSE.txt new file mode 100644 index 0000000000..2969c2a68e --- /dev/null +++ b/src/chatGPT/MatGPT/LICENSE.txt @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 Toshiaki Takeuchi + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/src/chatGPT/MatGPT/MatGPT.mlapp b/src/chatGPT/MatGPT/MatGPT.mlapp new file mode 100644 index 0000000000000000000000000000000000000000..f832dbb18497b0bfda503ef16d6e33afba77eba4 GIT binary patch literal 96274 zcmZsiQ;aSQtggqlJ+lUDY<*+fwr$(CZQHhOt+8#}=RY?)*~xCwrfGWj+`a89F9iyQ z1_T5I^u9TH@IAV3B|sDFjf1;5>DF}1t7*_cn$C|cMiYueixSRfjM+9CHd=$ZFNcdS1 zN4odXzqtmX%iB{%-oXcU=$yCdf<=8|;GM!s68GF$%g5MRjr>DQn)W zdJ}qE>iXWYYzy*S27Y&AuA@N4B#||-;p0}?HjLu1(yGh3+?}K5t3GZwEK_C z88{FSED#!yo}-Di6FuGkufRY^|E>M+sQI@oJIH_rdFPc|c+Nwu7l;MHZaEkdq2TQ= zMIxj4$=B)iLK>JbWJUCbi+Yg!TwbV?{Q$#Tb9 zJnoq@8=v6_k<$uQF`VduqQorMnM~7Pd}c^BF93p&zUF9hxBf;OJ+&a}OZdC4d&nNL z%e6_>)QYTD2zK^T38X4hd?hAd2YhC5Do@bq8Dou<>>~;p{tY3l7pCt(r*?sJ1PG@I 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+
+
Role
+
Content
+
+
+ + + \ No newline at end of file diff --git a/src/chatGPT/MatGPT/contents/presets.csv b/src/chatGPT/MatGPT/contents/presets.csv new file mode 100644 index 0000000000..6ee4b4ec3b --- /dev/null +++ b/src/chatGPT/MatGPT/contents/presets.csv @@ -0,0 +1,288 @@ +name,content,prompt,model,max_tokens,temperature,test_code +AI Assistant,You are a helpful assistant. Answer as concisely as possible. ,Where is the capital of France?,gpt-3.5-turbo,1000,1,0 +English to MATLAB Code,You are a helpful assistant that generates MATLAB code using the latest features from R2021a or later. ,"Define two random vectors x and y, fit a linear model to the data, and plot both the data and fitted line.",gpt-3.5-turbo,1000,0,1 +English to Simulink Model,"You are a helpful assistant that creates Simulink models. +You create the models by generating MATLAB code that adds all the necessary blocks and set their parameters. +Automatically arrange the blocks by adding this line of code: +Simulink.BlockDiagram.arrangeSystem(model) +Save the model and run it.","Model name: 'sine_multiplied' +Add Sine Wave block with amplification = 1. +Multiply the sine wave signal by 3. +Add Scope block with 2 input ports. +Visualize both signals by connecting them to the same Scope block. ",gpt-3.5-turbo,1000,0,1 +Summarize Code,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and provide concise summary of what the code does. ,"Summarize what the following code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 does. + +```matlab +m = 0:.01:1; +T = -4:.01:25; +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +```",gpt-3.5-turbo,1000,0,0 +Explain Code Step by Step,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and explain the code step by step.,"Explain what the following code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 does. + +```matlab +m = 0:.01:1; +T = -4:.01:25; +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +```",gpt-3.5-turbo,1000,0,0 +Script to function,You are a friendly and helpful teaching assistant for MATLAB programmers. Convert MATLAB scripts to a local function and call the function using sample inputs. ,"Convert the following script by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418 to a function, using m and T as input variables and set default values to those variables. + +```matlab +m = 0:.01:1; +T = -4:.01:25; +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +```",gpt-3.5-turbo,1000,0,1 +Write doc to function,"You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze a MATLAB function and add an elaborate, high quality docstring to the function.","Write useful docstring to this function derived from the code by Cecelya https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/12418, using comment format %PLOTBLOOMINGLIGHTS does blah blah blah. + +```matlab +function plotBloomingLight(m,T) +arguments + m double {mustBeVector} = 0:.01:1; + T double {mustBeVector} = -4:.01:25; +end +x=1-(5/4*(1-mod(3.6*T, 2)).^2-1/4).^2/2; +P=exp(-T/5)/2; +s=sinpi(P); +c=cospi(P); +y=2*m'.^5.*(1.6*m'-1).^2.*s; +S=x.*(m'.*s+y.*c); +X=S.*sinpi(T); +Y=S.*cospi(T); +Z=m'.*c+y.*s; +surf(X,Y,x.*Z,X.^2+Y.^2+Z.^4); +axis( 'equal','off') +view([0 33]) +colormap(flip(hot)) +shading('interp') +end +```",gpt-3.5-turbo,1000,0,0 +Fix Bug,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze buggy MATLAB code and provide error free code using latest features from R2021a or later. ,"Fix bug in the following MATLAB code + +```matlab +% Buggy MATLAB code + +a = 1; b = 2; +function y = add(a, b) +y = ""a"" + b +end +``` + +% Fixed MATLAB code",gpt-3.5-turbo,1000,0,0 +Write Unit Tests,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB functions and write appropriate unit tests.,"Write unit tests for this function, + +```matlab +function y = add(a, b) +y = a + b +end +```",gpt-3.5-turbo,1000,0,0 +Vectorize Code,You are a friendly and helpful teaching assistant for MATLAB programmers. Analyze MATLAB code and rewrite it to improve efficiency using vectorization rather than for loops.,"Vectorize the following code without using for loop. + +```matlab +i = 0; +for t = 0:.01:10 + i = i + 1; + y(i) = sin(t); +end +```",gpt-3.5-turbo,1000,0,1 +Act as MATLAB Command Window,"You are a MATLAB interpreter. I will give you MATLAB code, you'll reply with what the Command Window should show. Do not provide any explanations. Do not respond with anything except the output of the code. ","```matlab +x = (1:10)*2 +``` + +",gpt-3.5-turbo,1000,0,0 +Sentiment Analysis,You are a helpful assistant that helps data scientists by analyzing sentiment expressed in a given text.,"Decide whether sentiment is positive, neutral, or negative for the following text + +1. ""I can't stand homework"" +2. ""This sucks. I'm bored 😠"" +3. ""I can't wait for Halloween!!!"" +4. ""My cat is adorable ❤️❤️"" +5. ""I hate chocolate"" + +Text sentiment ratings:",gpt-3.5-turbo,1000,0,0 +Contact Extraction,You are a helpful assistant that helps data scientists by analyzing unstructured data and extract personally identifiable information.,"Extract the name and mailing address from this text: + +Dear Kelly, + +It was great to talk to you at the seminar. I thought Jane's talk was quite good. +Thank you for the book. Here's my address + +2111 Ash Lane, Crestview CA 92002 + +Best, + +Maya",gpt-3.5-turbo,1000,0,0 +Extract table from PDF,You are a helpful assistant that helps data scientists by analyzing unstructured data and recreate a table from the text extracted from a PDF file.,"format the following PDF data into a table. Start with a title, then the table and end with a footer citing the source. + +A(Percentage)verage annual export growth rates of creative goods, 2006−2020 + + + Region 2006−2010 2011−2015 + + Developing economies 9.8 4.9 + + Developed economies 1.5 0.2 + + Least developed countries 19.5 4.2 + + Small island developing States 12.8 -0.6 + + World – creative goods 5.1 2.7 + + World – all goods 3.6 -1.8 + + Source: UNCTAD based on UN COMTRADE Database. + + + 2016−2020 + + 2.0 + + 0.3 + + 38.3 + + -29.8 + + 1.2 + + 2.6 + + + 2006−2020 + + 5.9 + + 1.3 + + 10.1 + + -3.9 + + 3.5 + + 2.4 + + + 2020 + + -10.6 + + -14.9 + + -2.2 + + -48.5 + + -12.5 + + -7.2 + + + ",gpt-3.5-turbo,1000,0,0 +Top 10 SciFi movies,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a table of top 10 science fiction movies, their year of release, and box office gross. Name columns 'Title', 'Year', and 'Gross'.",gpt-3.5-turbo,1000,0,0 +San Francisco Weather,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a table of weather temperatures for San Francisco. +Name columns 'Month', 'High', and 'Low'. +Use abbreviated month names. Use numbers only for temperature using Fahrenheit.",gpt-3.5-turbo,1000,0,0 +Boston Housing Prices,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Housing prices are correlated with size of the house. +Create a table of housing prices in Boston based on square footage as size +with columns named 'Sqft' and 'Price' with 10 rows. Randomize the values in 'Sqft', +while maintaining the correlation to 'Price' with some variation.",gpt-3.5-turbo,1000,0,0 +Boston Landmarks,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Create a markdown table of famous landmarks in Boston + with latitude and longitude in decimal degrees, i.e. 42.361145, -71.057083 + Generate MATLAB Code that stores the data in variables landmarks, lat and lon. + Use geoscatter function to plot the data points. Annotate the data points with the names of the landmarks using text function. + Avoid using for loop.",gpt-3.5-turbo,1000,0,0 +Remove duplicate names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Here is a list of names. + +John Smith +William Davis +Sarah Brown +Thomas Miller +Julia Johnson +Adam White +David Taylor +Smith Paul +Davis William +Brown Jennifer + +Create a table with two columns from this list +that split the first name and last name. +If first name appears as last name, correct the order. +remove any duplicates. Show the table in markdown format.",gpt-3.5-turbo,1000,0,0 +Email Domains to Company Names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Identify legal company names based on the following domains + +1. @apple.com +2. @walmart.com +3. @exxonmobil.com +4. @berkshirehathaway.com +5. @amazon.com +6. @unitedhealthgroup.com +7. @cvs.com +8. @costco.com +9. @jpmorganchase.com +10. @home-depot.com +11. @mcdonalds.com +12. @chevron.com1 +13. @unitedparcelservice.com +14. @dell.com",gpt-3.5-turbo,1000,0,0 +Normalize University Names,You are a helpful assistant that helps data scientists extract useful public data for analysis.,"Normalize the list of university names below. If a university has multiple names, apply the most common full name, not an abbreviation. + +CMU +Caltech +Carnegie Mellon UNiversity +Carnegie Mellon University +Cambrige +Cambridge University +Columbia +Columbia University +Cornell +Cornell University +Duke +Duke University +Duke Univiersity +Georgia Institute of Technolog +Georgia Institute of Technology +Georgia Tech +Georgia Tech. +Georgiatech +MIT +Massachusetts Institute of Technology + +",gpt-3.5-turbo,1000,0,0 diff --git a/src/chatGPT/MatGPT/contents/styles.css b/src/chatGPT/MatGPT/contents/styles.css new file mode 100644 index 0000000000..4eab99705c --- /dev/null +++ b/src/chatGPT/MatGPT/contents/styles.css @@ -0,0 +1,116 @@ +.table { + display: table; + border-collapse: collapse; + width: 100%; + margin: 0px 0px 0px 0px; + font-size: 0.9em; + font-family: sans-serif; + min-width: 400px; +} + +.table-row { + display: table-row; + border-bottom: 1px solid #dddddd; +} + +.table-row:nth-of-type(even) { + background-color: #f3f3f3; +} + +.table-row:last-of-type { + border-bottom: 2px solid #104871; +} + +.table-cell, +.table-header { + display: table-cell; + padding: 12px 15px; + white-space: pre-wrap; +} + +.table-row.active-row { + font-weight: bold; + color: #104871; +} + +.table-header { + background-color: #104871; + color: #ffffff; + text-align: left; +} + +.code-block { + display: block; + font-size: 1.15em; + background-color: #dcebf3; + border: 1px solid #ccc; + padding: 10px; + margin: 0px 0px 0px 0px; +} + +.test-block-green { + display: block; + font-size: 1.15em; + background-color: #dcf3dc; + border: 1px solid #ccc; + padding: 10px; + margin: 0px 0px 0px 0px; +} + +.test-block-red { + display: block; + font-size: 1.15em; + background-color: #f3dcdc; + border: 1px solid #ccc; + padding: 10px; + margin: 0px 0px 0px 0px; +} + +.code-inline { + font-size: 1.25em; + font-weight: normal; +} + +.ml-figure { + max-width: 100%; + max-height: 100%; +} + +.test-report div { + margin-bottom: 10px; +} + +.test, +.figures, +.artifacts { + border: 1px solid #7d9dd6; + border-radius: 10px; + padding: 10px; +} + +table.resp { + width: 100%; + background-color: #ffffff; + border-collapse: collapse; + border-width: 2px; + border-color: #404040; + border-style: solid; + color: #000000; +} + +table.resp td, +table.resp th { + border-width: 2px; + border-color: #404040; + border-style: solid; + padding: 3px; +} + +table.resp thead { + background-color: #404040; + color: #ffffff; +} + +tr:nth-child(even) { + background-color: #f2f2f2; +} diff --git a/src/chatGPT/MatGPT/helpers/CodeChecker.m b/src/chatGPT/MatGPT/helpers/CodeChecker.m new file mode 100644 index 0000000000..1949890699 --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/CodeChecker.m @@ -0,0 +1,268 @@ +classdef CodeChecker < handle + % CODECHECKER - Class for evaluating code from ChatGPT + % CodeChecker is a class that can extract code from ChatGPT + % responses, run the code with a unit testing framework, and return + % the test results in a format for display in a chat window. Each + % input message from ChatGPT gets its own test folder to hold the + % generated code and artifacts like test results and images + % + % Example: + % + % % Get a message from ChatGPT + % myBot = chatGPT(); + % response = send(myBot,"Create a bar plot in MATLAB."); + % + % % Create object + % checker = CodeChecker(response); + % + % % Check code for validity and display test report + % runChecks(checker); + % report = checker.Report; + + properties (SetAccess=private) + ChatResponse % ChatGPT response that may have code + OutputFolder % Full path with test results + Results % Table with code check results + Timestamp % Unique string with current time to use for names + Artifacts % List of files generated by the checks + ErrorMessages % Cell str of any error messages from results + Report % String with the nicely formatted results + end + + methods + %% Constructor + function obj = CodeChecker(inputStr,pathStr) + %CODECHECKER Constructs an instance of this class + % checker = CodeChecker(message) creates an instance + % of the CodeChecker class given a response from + % ChatGPT in the string "message". + arguments + inputStr string {mustBeTextScalar} + pathStr string {mustBeTextScalar} = ""; + end + obj.ChatResponse = inputStr; + if pathStr == "" + s = dir; + pathStr = s(1).folder; + end + % Construct a unique output folder name using a timstamp + obj.Timestamp = string(datetime('now','Format','yyyy-MM-dd''T''HH-mm-SS')); + obj.OutputFolder = fullfile(pathStr,"contents","GeneratedCode","Test-" + obj.Timestamp); + + % Empty Results table + obj.Results = []; + end + end + methods (Access=public) + function runChecks(obj) + % RUNCHECKS - Run generated code and check for errors + % runChecks(obj) will run each piece of generated code. NOTE: + % This function does not check generated code for + % correctness, just validity + + % make the output folder + mkdir(obj.OutputFolder) + + % Get list of current files so we know which artifacts to move + % to the output folder + filesBefore = dir(); + + % save code files and get their names for testing; + saveCodeFiles(obj); + + % Run all test files + runCodeFiles(obj); + + % Move all newly generated files + filesAfter = dir(); + obj.Artifacts = string(setdiff({filesAfter.name},{filesBefore.name})); + for i = 1:length(obj.Artifacts) + movefile(obj.Artifacts(i),obj.OutputFolder) + end + + % Fill the results properties like Report and ErrorMessages + processResults(obj) + end + end + + methods(Access=private) + function saveCodeFiles(obj) + % SAVECODEFILES Saves M-files for testing + % saveCodeFiles(obj) will parse the ChatResponse propety for + % code blocks and save them to separate M-files with unique + % names in the OutputFolder property location + + % Extract code blocks + [startTag,endTag] = TextHelper.codeBlockPattern(); + codeBlocks = extractBetween(obj.ChatResponse,startTag,endTag); + + % Create Results table + obj.Results = table('Size',[length(codeBlocks) 4],'VariableTypes',["string","string","string","logical"], ... + 'VariableNames',["ScriptName","ScriptContents","ScriptOutput","IsError"]); + obj.Results.ScriptContents = codeBlocks; + + % Save code blocks to M-files + for i = 1:height(obj.Results) + % Open file with the function name or a generic test name. + obj.Results.ScriptName(i) = "Test" + i + "_" + replace(obj.Timestamp,"-","_"); + fid = fopen(obj.Results.ScriptName(i) + ".m","w"); + + % Add the code to the file + fprintf(fid,"%s",obj.Results.ScriptContents(i)); + fclose(fid); + end + end + + function runCodeFiles(obj) + % RUNCODEFILES - Tries to run all the generated scripts and + % captures outputs/figures + + % Before tests, make existing figure handles invisible + figsBefore = findobj('Type','figure'); + for i = 1:length(figsBefore) + figsBefore(i).HandleVisibility = "off"; + end + + % Also check for open and closed Simulink files + addOns = matlab.addons.installedAddons; + addOns = addOns(addOns.Name=="Simulink",:); + hasSimulink = ~isdeployed && ~isempty(addOns) && addOns.Enabled; + if hasSimulink + BDsBefore = find_system('SearchDepth',0); + SLXsBefore = dir("*.slx"); + SLXsBefore = {SLXsBefore.name}'; + end + + % Iterate through scripts. Run the code and capture any output + for i = 1:height(obj.Results) + try + output = evalc(obj.Results.ScriptName(i)); + if isempty(output) + output = "This code did not produce any output"; + end + obj.Results.ScriptOutput(i) = output; + catch ME + obj.Results.IsError(i) = true; + obj.Results.ScriptOutput(i) = TextHelper.shortErrorReport(ME); + end + end + + % Find newly Simulink models + if hasSimulink + BDsNew = setdiff(find_system("SearchDepth",0),BDsBefore); + BDsNew(BDsNew=="simulink") = []; + SLXsfiles = dir("*.slx"); + SLXsNew = setdiff({SLXsfiles.name}',SLXsBefore); + SLXsNew = extractBefore(SLXsNew,".slx"); + + % Load the new SLX-files. Add to list of new BDs + for i = 1:length(SLXsNew) + load_system(SLXsNew{i}); + end + BDsNew = union(BDsNew,SLXsNew); + + % Print screenshots for the new BDs. Then save and close them + for i = 1:length(BDsNew) + print("-s" + BDsNew{i},"-dpng",BDsNew{i} + ".png"); + save_system(BDsNew{i}); + close_system(BDsNew{i}); + end + end + + % Save new figures as png and reset the old figures as visible + figsAfter = findobj("Type","figure"); + for i = 1:length(figsAfter) + saveas(figsAfter(i),"Figure" + i + ".png"); + end + for i = 1:length(figsBefore) + figsBefore(i).HandleVisibility = "on"; + end + end + + function processResults(obj) + % PROCESSRESULTS - Process the test results + % + % processResults(obj) will assign values to the properties + % Report and ErrorMessages. obj.Report is a string with a + % nicely formatted report, and obj.ErrorMessages is a cellstr + % with any error messages + % + + % Get the error messages from the Results table + obj.ErrorMessages = obj.Results.ScriptOutput(obj.Results.IsError); + + % Set up the report header + numBlocks = height(obj.Results); + numErrors = length(obj.ErrorMessages); + reportHeader = sprintf(['

Here are the test results. ' ... + 'There were %d code blocks tested and %d errors.

'], ... + numBlocks,numErrors); + + % Handle plurals + if numBlocks == 1 + reportHeader = replace(reportHeader,'were','was'); + reportHeader = replace(reportHeader,'blocks','block'); + end + if numErrors == 1 + reportHeader = replace(reportHeader,'errors','error'); + end + + % Loop through results table to make the report + testReport = reportHeader; + for i = 1:height(obj.Results) + + % Start the report with the script name + testReport = [testReport sprintf('

Test: %s

', ... + obj.Results.ScriptName(i))]; %#ok + + % Use error style if code produced an error + codeBlockClass = "test-block-green"; + if obj.Results.IsError(i) + codeBlockClass = "test-block-red"; + end + + % Add code + testReport = [testReport sprintf('%%%% Code: \n\n%s\n\n', ... + codeBlockClass,obj.Results.ScriptContents(i))]; %#ok + + % Add output + testReport = [testReport sprintf('%%%% Command Window Output: \n\n%s', ... + obj.Results.ScriptOutput(i))]; %#ok + + % Add the closing tags + testReport = [testReport '
']; %#ok + end + + % Show any image artifacts + imageFiles = obj.Artifacts(contains(obj.Artifacts,".png")); + folders = split(obj.OutputFolder,filesep); + if ~isempty(imageFiles) + testReport = [testReport '

Figures

']; + for i = 1:length(imageFiles) + % Get the relative path of the image. Assumes that the HTML + % file is at the same level as the "GeneratedCode" folder + relativePath = fullfile(folders(end-1),folders(end),imageFiles(i)); + relativePath = replace(relativePath,'\','/'); + + % Assemble the html code for displaying the image + testReport = [testReport sprintf('
',relativePath)]; %#ok + end + testReport = [testReport '
']; + end + + % List the artifacts + testReport = [testReport '

Artifacts

']; + testReport = [testReport sprintf('The following artifacts were saved to: %s\n\n',obj.OutputFolder)]; + for i = 1:length(obj.Artifacts) + testReport = [testReport sprintf(' %s\n',obj.Artifacts(i))]; %#ok + end + testReport = [testReport '
']; + + % Close the initial div for the overall report + testReport = [testReport '
']; + + % Assign testReport to Report property + obj.Report = testReport; + end + end +end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/TextHelper.m b/src/chatGPT/MatGPT/helpers/TextHelper.m new file mode 100644 index 0000000000..dff8ac7720 --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/TextHelper.m @@ -0,0 +1,174 @@ +classdef TextHelper + %TEXTHELPER Collection of static methods for text processing + % TextHelper has multiple static methods that can be used for the + % weird text processing used by MatGPT + + methods (Access=public,Static) + %% codeBlockPattern + function [startPat,endPat] = codeBlockPattern() + % CODEBLOCKPATTERN - text matching pattern for the code blocks in backticks + % + % [startPat,endPat] = codeBlockPattern returns some start and end + % patterns for the backticks so you can use for + + % Code blocks start and end with 3 backticks + backticks = "```"; + startPat = backticks + wildcardPattern + newline; + endPat = newline + backticks + (newline|textBoundary); + end + + %% exceptionReport + function report = shortErrorReport(ME) + % shortErrorReport - get a shortened report from MException + % + % report = shortErrorReport(ME) will use the getReport method + % from MException input and shorten it to show the error + % message and first stack entry + + % Get full report from MException object and remove HTML tags + report = getReport(ME); + report = TextHelper.removeHTMLtags(report); + + % Count occurrences of "Error" (how big is the Stack) + errorPattern = "Error" + wildcardPattern(Except="Error"); + stackCount = count(report,errorPattern); + + % Construct pattern to match all but the first stack entry + allButFirstError = asManyOfPattern(errorPattern,1,stackCount-1) + textBoundary; + + % Extract before the constructed pattern. + report = extractBefore(report,allButFirstError); + end + + function str = removeHTMLtags(str) + % removeHTMLtags - removes all HTML tags from a string. This is + % usefull because MATLAB's error messages often come with + % hyperlinks. This function removes them. + htmlTags = "<" + wildcardPattern + ">"; + str = erase(str,htmlTags); + end + + function newStr = replaceCodeMarkdown(str,options) + % replaceCodeMarkdown - Replaces ``` markdown with tags + % + % newStr = replaceCodeMarkdown(str) will parse the input str + % and replace any code blocks enclosed in backticks ``` with + % tags using the style class "code-block" + % + % newStr = replaceCodeBlocks(___,type=T) specifies the type + % of markdown to replace or the specific tag used: + % "block" - (default) code enclosed in "```" + % "inline" - code enclosed in "`" + % T - code enclosed in the string stored in T + % + % newStr = replaceCodeBlocks(___,className=C) specifies the + % class name used in the code tag in a string. Default is + % "code-block" + % + % Example input: + % + % ```matlab + % x = 1; + % ``` + % + % Example output: + % + % x=1; + % + arguments + str string {mustBeTextScalar} + options.type string {mustBeTextScalar} = "block" + options.className string {mustBeTextScalar} = "code-block"; + end + + switch options.type + case "block" + [startTag,endTag] = TextHelper.codeBlockPattern(); + case "inline" + startTag = "`"; + endTag = "`"; + otherwise + startTag = options.type; + endTag = options.type; + end + + % Extract text with and without the tgs + textWithoutTags = extractBetween(str,startTag,endTag); + textWithTags = extractBetween(str,startTag,endTag, ... + Boundaries="inclusive"); + + % Replace the blocks with backticks with alternae versions + textWithCodeTags = "" + ... + textWithoutTags + ""; + newStr = replace(str,textWithTags,textWithCodeTags); + end + + function newStr = replaceTableMarkdown(str) + %REPLACETABLE replaces Markdown table with HTML table + % Accepts a scalar string array as input + % table must have the border for the header i.e. | --- | + + arguments + str string {mustBeTextScalar} + end + + % define table pattern + tblpat = lineBoundary + "|" + (" "|"-") + wildcardPattern(1,Inf) + (" "|"-") + "|" + lineBoundary; + % extract table + tblstr = extract(str,tblpat); + % table is not found, exit + if isempty(tblstr) + newStr = str; + return + end + try + % remove "|" at the beginning and end of a line + tblBordersPat = [lineBoundary+"|","|"+lineBoundary]; + trimmedTbl = strtrim(erase(strtrim(tblstr), tblBordersPat)); + % split each line by "|" + splittedTbl = arrayfun(@(x) (strtrim(split(x,"|")))', trimmedTbl, UniformOutput=false); + % get the number of columns in each line + numCols = cellfun(@numel, splittedTbl); + % find the header separator + separatorPat = optionalPattern(":") + asManyOfPattern(characterListPattern("-"),2) + optionalPattern(":"); + % the header is the 1 row up + headerRowIdx = find(cellfun(@(x) all(contains(x,separatorPat)), splittedTbl),1) - 1; + % lines with the same number of cols are in the table + rowIdx = numCols == numCols(headerRowIdx); + % extract table block and merge lines into a string + tblBlock = splittedTbl(rowIdx); + mergedTbl = vertcat(tblBlock{:}); + % extract header + theader = string(mergedTbl(1,:)); + % extract body + tbody = mergedTbl(3:end,:); + % generate table header + htmlTbl = "" + newline; + htmlTbl = htmlTbl + "" + newline; + htmlTbl = htmlTbl + "" + newline; + for ii = 1:numel(theader) + htmlTbl = htmlTbl + "" + newline; + end + htmlTbl = htmlTbl + "" + newline; + htmlTbl = htmlTbl + "" + newline; + % generate table body + htmlTbl = htmlTbl + "" + newline; + for ii = 1:size(tbody,1) + htmlTbl = htmlTbl + "" + newline; + for jj = 1:numel(theader) + htmlTbl = htmlTbl + "" + newline; + end + htmlTbl = htmlTbl + "" + newline; + end + htmlTbl = htmlTbl + "" + newline; + htmlTbl = htmlTbl + "
" + theader(ii) + "
" + tbody(ii,jj) + "
"; + % replace markdown table with html table + newStr = replace(str,join(tblstr,newline),htmlTbl); + catch + % if error, return the original string + newStr = str; + return + end + end + end +end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/chatGPT.m b/src/chatGPT/MatGPT/helpers/chatGPT.m new file mode 100644 index 0000000000..67087f8d91 --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/chatGPT.m @@ -0,0 +1,160 @@ +classdef chatGPT < handle + %CHATGPT defines a class to access ChatGPT API + % Create an instance using your own API key, and optionally + % max_tokens that determine the length of the response + % + % chat method lets you send a prompt text to the API as HTTP request + % and parses the response. + % + % Before using, set an environment variable with your OpenAI API key + % named OPENAI_API_KEY + % + % setenv("OPENAI_API_KEY","your key here") + + properties (Access = public) + % the API endpoint + api_endpoint = "https://api.openai.com/v1/chat/completions"; + % ChatGPT model to use - gpt-3.5-turbo, etc. + model; + % what role the bot should play + role; + % the max length of response + max_tokens; + % temperature = 0 precise, = 1 balanced, = 2 creative + temperature; + % store chat log in messages object + messages; + % store usage + completion_tokens = 0; + prompt_tokens = 0; + total_tokens = 0; + end + + methods + function obj = chatGPT(options) + %CHATGPT Constructor method to create an instance + % Set up an instance with optional parameters + + arguments + options.model string {mustBeTextScalar, ... + mustBeMember(options.model, ... + ["gpt-3.5-turbo","gpt-3.5-turbo-0613", ... + "gpt-4","gpt-4-0613", ... + "gpt-4-32k","gpt-4-32k-0613"])} = "gpt-3.5-turbo"; + options.role string {mustBeTextScalar} = ... + "You are a helpful assistant."; + options.max_tokens (1,1) double {mustBeNumeric, ... + mustBeLessThan(options.max_tokens,4096)} = 1000; + options.temperature (1,1) double {mustBeNumeric, ... + mustBeInRange(options.temperature,0,2)} = 1; + end + + obj.model = options.model; + obj.role = options.role; + obj.max_tokens = options.max_tokens; + obj.temperature = options.temperature; + obj.messages = struct('role',"system",'content',obj.role); + end + + function responseText = chat(obj,prompt) + %CHAT This send http requests to the api + % Pass the prompt as input argument to send the request + + arguments + obj + prompt string {mustBeTextScalar} + end + + % retrieve API key from the environment + api_key = getenv("OPENAI_API_KEY"); + if isempty(api_key) + id = "chatGPT:missingKey"; + msg = "No API key found in the enviroment variable" + newline; + msg = msg + "Before using, set an environment variable "; + msg = msg + "with your OpenAI API key as 'MY_OPENAI_KEY'"; + msg = msg + newline + newline + "setenv('OPENAI_API_KEY','your key here')"; + ME = MException(id,msg); + throw(ME) + end + + % constructing messages object that retains the chat history + % send user prompt with 'user' role + if ~isempty(obj.messages) + obj.messages = [obj.messages, ... + struct('role',"user",'content',prompt)]; + else + obj.messages = struct('role',"user",'content',prompt); + end + + % shorten calls to MATLAB HTTP interfaces + import matlab.net.* + import matlab.net.http.* + % construct http message content + query = struct('model',obj.model,'messages',obj.messages,'max_tokens',obj.max_tokens,'temperature',obj.temperature); + % the headers for the API request + headers = HeaderField('Content-Type', 'application/json'); + headers(2) = HeaderField('Authorization', "Bearer " + api_key); + % the request message + request = RequestMessage('post',headers,query); + % send the request and store the response + response = send(request, URI(obj.api_endpoint)); + % extract the response text + if response.StatusCode == "OK" + % extract text from the response + responseText = response.Body.Data.choices(1).message; + responseText = string(responseText.content); + responseText = strtrim(responseText); + % add the text to the messages with 'assistant' role + obj.messages = [obj.messages, ... + struct('role',"assistant",'content',responseText)]; + % add the tokens used + obj.completion_tokens = obj.completion_tokens + ... + response.Body.Data.usage.completion_tokens; + obj.prompt_tokens = obj.prompt_tokens + ... + response.Body.Data.usage.prompt_tokens; + obj.total_tokens = obj.total_tokens + ... + response.Body.Data.usage.total_tokens; + else + responseText = "Error "; + responseText = responseText + response.StatusCode + newline; + responseText = responseText + response.StatusLine.ReasonPhrase; + end + end + + function [completion_tokensd, prompt_tokens, total_tokens] = usage(obj) + %USAGE retunrs the number of tokens used + completion_tokensd = obj.completion_tokens; + prompt_tokens = obj.prompt_tokens; + total_tokens = obj.total_tokens; + end + + function saveChat(obj,options) + %SAVECHAT saves the chat history in a file + % Specify the format using .mat, .xlsx or .json + arguments + obj + options.format string {mustBeTextScalar, ... + mustBeMember(options.format, ... + [".mat",".xlsx",".json"])} = ".mat"; + end + if isempty(obj.messages) + warning("No chat history.") + else + if options.format == ".mat" + s = obj.messages; + save("chathistory.mat","s") + elseif options.format == ".xlsx" + tbl = struct2table(obj.messages); + writetable(tbl,"chathistory.xlsx") + elseif options.format == ".json" + json = jsonencode(obj.messages); + writelines(json,"chathistory.json") + else + error("Unknown format.") + end + end + + end + + end +end \ No newline at end of file diff --git a/src/chatGPT/MatGPT/helpers/chatter.m b/src/chatGPT/MatGPT/helpers/chatter.m new file mode 100644 index 0000000000..c129962fdc --- /dev/null +++ b/src/chatGPT/MatGPT/helpers/chatter.m @@ -0,0 +1,114 @@ +classdef chatter < chatGPT + %CHATTER extends chatGPT superclass + % This subclass adds a new method 'injectChatLog' + + methods + function responseText = chat(obj,prompt,options) + %CHAT This send http requests to the api + % Pass the prompt as input argument to send the request + % Only messages with valid roles are sent in messages object + arguments + obj + prompt string {mustBeTextScalar} + options.timeout double {mustBeScalarOrEmpty} + options.stop string {mustBeText,mustBeNonzeroLengthText} + end + + % retrieve API key from the environment + api_key = getenv("OPENAI_API_KEY"); + if isempty(api_key) + id = "chatter:missingKey"; + msg = "No API key found in the enviroment variable" + newline; + msg = msg + "Before using, set an environment variable "; + msg = msg + "with your OpenAI API key as 'MY_OPENAI_KEY'"; + msg = msg + newline + newline + "setenv('MY_OPENAI_KEY','your key here')"; + ME = MException(id,msg); + throw(ME) + end + + % constructing messages object that retains the chat history + % send user prompt with 'user' role + if ~isempty(obj.messages) + obj.messages = [obj.messages, ... + struct('role',"user",'content',prompt)]; + else + obj.messages = struct('role',"user",'content',prompt); + end + + % extract messages with valid roles + m = obj.messages; + roles = arrayfun(@(x) string(x.role),m); + m(~ismember(roles,["system","user","assistant"])) = []; + % shorten calls to MATLAB HTTP interfaces + import matlab.net.* + import matlab.net.http.* + % construct http message content + % + if isfield(options,'stop') + query = struct('model',obj.model,'messages',m,'max_tokens',obj.max_tokens,'temperature',obj.temperature,'stop',options.stop); + else + query = struct('model',obj.model,'messages',m,'max_tokens',obj.max_tokens,'temperature',obj.temperature); + end + % the headers for the API request + headers = HeaderField('Content-Type', 'application/json'); + headers(2) = HeaderField('Authorization', "Bearer " + api_key); + % the request message + request = RequestMessage('post',headers,query); + + % Create a HTTPOptions object; set proxy in MATLAB Web Preferences if needed + httpOpts = matlab.net.http.HTTPOptions; + % Set the ConnectTimeout option to 30 seconds + if isfield(options,'timeout') && options.timeout > 0 + httpOpts.ConnectTimeout = options.timeout; + end + % send the request and store the response + response = send(request, URI(obj.api_endpoint),httpOpts); + + % extract the response text + if response.StatusCode == "OK" + % extract text from the response + responseText = response.Body.Data.choices(1).message; + responseText = string(responseText.content); + responseText = strtrim(responseText); + % add the text to the messages with 'assistant' role + obj.messages = [obj.messages, ... + struct('role',"assistant",'content',responseText)]; + % add the numbers of tokens used + obj.completion_tokens = obj.completion_tokens + ... + response.Body.Data.usage.completion_tokens; + obj.prompt_tokens = obj.prompt_tokens + ... + response.Body.Data.usage.prompt_tokens; + obj.total_tokens = obj.total_tokens + ... + response.Body.Data.usage.total_tokens; + else + responseText = "Error "; + responseText = responseText + response.StatusCode + newline; + responseText = responseText + response.StatusLine.ReasonPhrase; + if string(response.StatusCode) == "401" + responseText = responseText + newline + "Check your API key."; + responseText = responseText + newline + "You may have an invalid API key."; + elseif string(response.StatusCode) == "404" + responseText = responseText + newline + "You may not have access to the model: " + ... + obj.model + ". Consider using another model."; + elseif string(response.StatusCode) == "429" + responseText = responseText + newline + "You exceeded the API limit. Your free trial for OpenAI API may have expired."; + end + id = "chatter:invalidKey"; + ME = MException(id,responseText); + throw(ME) + end + end + + function injectChatLog(obj,role,content) + %INJECTCHATLOG injects a message into messages object + % This method add a new message externally that hold + % information for display or record keeping and not to be + % sent to ChatGPT API. + % role must be something other than system, user or + % assistant. + if ~ismember(role, ["system","user","assistant"]) + obj.messages = [obj.messages,struct('role',role,'content',content)]; + end + end + end +end \ No newline at end of file From a30f813085c0d17c501f12f7c805dbe2ce3e0f44 Mon Sep 17 00:00:00 2001 From: Farid Zare Date: Sun, 17 Dec 2023 02:35:38 +0000 Subject: [PATCH 48/51] test --- .../calculateFluxShifts/calculateFluxShifts.m | 130 ++++++++++++++++++ 1 file changed, 130 insertions(+) create mode 100644 src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m diff --git a/src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m b/src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m new file mode 100644 index 0000000000..ba3e0bfe0b --- /dev/null +++ b/src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m @@ -0,0 +1,130 @@ +function calculateFluxShifts(source, target) +% Compares reaction flux values (min, max) between two models or more models +% in resultsPostOptimization/contextSpecificModels folder and writes the +% comparison results ('up', 'down', 1) in a new column in the target model +% +% USAGE: +% +% calculateFluxShifts(source, target) +% +% INPUTS: +% source: model strusture +% target: model strusture or a string value "All" when +% comparing all models in the folder resultsPostOptimization\contextSpecificModels +% to the souce +% +% .. Authors: +% - Kristina Grausa 05/16/2022 +% - Kristina Grausa 08/23/2022 - standard header and formatting +% - Farid Zare 20/11/2023 - Repository addresses are corrected, standard variable names + + % Get target model/-s + destTarget = {}; + if string(target) == "All" + destTarget = string(strcat('resultsPostOptimization/contextSpecificModels/*.xls')); + else + destTarget = string(strcat('resultsPostOptimization/contextSpecificModels/*',char(target),'*.xls')); + end + xlsFilesInfo = dir(destTarget); + + % Source model + destSource = string(strcat('resultsPostOptimization/contextSpecificModels/*',char(source),'*.xls')); + S = dir(destSource); + sheetName = 'Reaction List'; + filename = strcat(S.folder, '/', S.name); + dataSource = readtable(filename,'Sheet',sheetName); + + % Get minFlux and MaxFlux columns from source model + minFluxSource = dataSource.MinFlux; + maxFluxSource = dataSource.MaxFlux; + + % Create and fill cell arrays (min, max) with rounded flux values from source model + minFluxSource_r = cell(height(dataSource), 1); + maxFluxSource_r = cell(height(dataSource), 1); + + for i=1:1:height(minFluxSource_r) + minFluxSource_r{i} = round(str2double(minFluxSource{i}),6); + maxFluxSource_r{i} = round(str2double(maxFluxSource{i}),6); + end + + % Get min and max flux data from target model file + for i=1:length(xlsFilesInfo) + + if ~contains(xlsFilesInfo(i).name,char(source)) + filename = strcat(xlsFilesInfo(i).folder, '/', xlsFilesInfo(i).name); + data=readtable(filename,'Sheet',sheetName); + + try + % Get minFlux and MaxFlux columns from target model file + minFluxTarget = data.MinFlux; + maxFluxTarget = data.MaxFlux; + + % Create and fill cell arrays (min, max) with rounded flux + % values from target model + minFluxTarget_r = cell(height(minFluxTarget),1); + maxFluxTarget_r = cell(height(maxFluxTarget),1); + + for k=1:1:height(data) + minFluxTarget_r{k} = round(str2double(minFluxTarget{k}),6); + maxFluxTarget_r{k} = round(str2double(maxFluxTarget{k}),6); + end + + % Create and fill flux ratio cell arrays (target/source) + MinFluxRatio = cell(height(minFluxTarget),1); + MaxFluxRatio = cell(height(minFluxTarget),1); + + % Calculate ratios for all reaction fluxes + for n=1:1:length(minFluxTarget) + minRatio = minFluxTarget_r{n}/minFluxSource_r{n}; + maxRatio = maxFluxTarget_r{n}/maxFluxSource_r{n}; + minRatio = round(minRatio,6); + maxRatio = round(maxRatio,6); + + % Source flux is 0 + if minFluxSource_r{n} == 0 && minFluxTarget_r{n} ~= 0 + minRatio = 'up'; + end + if maxFluxSource_r{n} == 0 && maxFluxTarget_r{n} ~= 0 + maxRatio = 'up'; + end + + % Target flux is 0 + if minFluxTarget_r{n} == 0 && minFluxSource_r{n} ~= 0 + minRatio = 'down'; + end + if maxFluxTarget_r{n} == 0 && maxFluxSource_r{n} ~= 0 + maxRatio = 'down'; + end + + % Both are 0 + if minFluxTarget_r{n} == 0 && minFluxSource_r{n} == 0 + minRatio = 1; + end + if maxFluxTarget_r{n} == 0 && maxFluxSource_r{n} == 0 + maxRatio = 1; + end + + MinFluxRatio{n} = minRatio; + MaxFluxRatio{n} = maxRatio; + end + + % Save results + folderName = 'resultsPostOptimization/fluxShifts/'; + if ~exist(folderName, 'dir') + mkdir(folderName) + end + + ratioData = cell2table([minFluxSource_r, maxFluxSource_r, MinFluxRatio, MaxFluxRatio]); + ratioData.Properties.VariableNames = {strcat('MinFlux_',source{1}), strcat('MaxFlux_',source{1}), 'MinFluxRatio', 'MaxFluxRatio'}; + newData = [data ratioData]; + + temp = split(xlsFilesInfo(i).name,"."); + resultFileName = strcat(temp(1),'_flux_shifts.xls'); + fullResultFilePath = strcat(folderName, resultFileName); + writetable(newData,fullResultFilePath{1},'AutoFitWidth',false); + catch e + disp(e); + end + end + end +end From c8db84c18717cff57bcda8391ff94722b284157c Mon Sep 17 00:00:00 2001 From: Farid Zare Date: Sun, 17 Dec 2023 02:37:18 +0000 Subject: [PATCH 49/51] remove test --- .../calculateFluxShifts/calculateFluxShifts.m | 130 ------------------ 1 file changed, 130 deletions(-) delete mode 100644 src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m diff --git a/src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m b/src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m deleted file mode 100644 index ba3e0bfe0b..0000000000 --- a/src/chatGPT2/calculateFluxShifts/calculateFluxShifts.m +++ /dev/null @@ -1,130 +0,0 @@ -function calculateFluxShifts(source, target) -% Compares reaction flux values (min, max) between two models or more models -% in resultsPostOptimization/contextSpecificModels folder and writes the -% comparison results ('up', 'down', 1) in a new column in the target model -% -% USAGE: -% -% calculateFluxShifts(source, target) -% -% INPUTS: -% source: model strusture -% target: model strusture or a string value "All" when -% comparing all models in the folder resultsPostOptimization\contextSpecificModels -% to the souce -% -% .. Authors: -% - Kristina Grausa 05/16/2022 -% - Kristina Grausa 08/23/2022 - standard header and formatting -% - Farid Zare 20/11/2023 - Repository addresses are corrected, standard variable names - - % Get target model/-s - destTarget = {}; - if string(target) == "All" - destTarget = string(strcat('resultsPostOptimization/contextSpecificModels/*.xls')); - else - destTarget = string(strcat('resultsPostOptimization/contextSpecificModels/*',char(target),'*.xls')); - end - xlsFilesInfo = dir(destTarget); - - % Source model - destSource = string(strcat('resultsPostOptimization/contextSpecificModels/*',char(source),'*.xls')); - S = dir(destSource); - sheetName = 'Reaction List'; - filename = strcat(S.folder, '/', S.name); - dataSource = readtable(filename,'Sheet',sheetName); - - % Get minFlux and MaxFlux columns from source model - minFluxSource = dataSource.MinFlux; - maxFluxSource = dataSource.MaxFlux; - - % Create and fill cell arrays (min, max) with rounded flux values from source model - minFluxSource_r = cell(height(dataSource), 1); - maxFluxSource_r = cell(height(dataSource), 1); - - for i=1:1:height(minFluxSource_r) - minFluxSource_r{i} = round(str2double(minFluxSource{i}),6); - maxFluxSource_r{i} = round(str2double(maxFluxSource{i}),6); - end - - % Get min and max flux data from target model file - for i=1:length(xlsFilesInfo) - - if ~contains(xlsFilesInfo(i).name,char(source)) - filename = strcat(xlsFilesInfo(i).folder, '/', xlsFilesInfo(i).name); - data=readtable(filename,'Sheet',sheetName); - - try - % Get minFlux and MaxFlux columns from target model file - minFluxTarget = data.MinFlux; - maxFluxTarget = data.MaxFlux; - - % Create and fill cell arrays (min, max) with rounded flux - % values from target model - minFluxTarget_r = cell(height(minFluxTarget),1); - maxFluxTarget_r = cell(height(maxFluxTarget),1); - - for k=1:1:height(data) - minFluxTarget_r{k} = round(str2double(minFluxTarget{k}),6); - maxFluxTarget_r{k} = round(str2double(maxFluxTarget{k}),6); - end - - % Create and fill flux ratio cell arrays (target/source) - MinFluxRatio = cell(height(minFluxTarget),1); - MaxFluxRatio = cell(height(minFluxTarget),1); - - % Calculate ratios for all reaction fluxes - for n=1:1:length(minFluxTarget) - minRatio = minFluxTarget_r{n}/minFluxSource_r{n}; - maxRatio = maxFluxTarget_r{n}/maxFluxSource_r{n}; - minRatio = round(minRatio,6); - maxRatio = round(maxRatio,6); - - % Source flux is 0 - if minFluxSource_r{n} == 0 && minFluxTarget_r{n} ~= 0 - minRatio = 'up'; - end - if maxFluxSource_r{n} == 0 && maxFluxTarget_r{n} ~= 0 - maxRatio = 'up'; - end - - % Target flux is 0 - if minFluxTarget_r{n} == 0 && minFluxSource_r{n} ~= 0 - minRatio = 'down'; - end - if maxFluxTarget_r{n} == 0 && maxFluxSource_r{n} ~= 0 - maxRatio = 'down'; - end - - % Both are 0 - if minFluxTarget_r{n} == 0 && minFluxSource_r{n} == 0 - minRatio = 1; - end - if maxFluxTarget_r{n} == 0 && maxFluxSource_r{n} == 0 - maxRatio = 1; - end - - MinFluxRatio{n} = minRatio; - MaxFluxRatio{n} = maxRatio; - end - - % Save results - folderName = 'resultsPostOptimization/fluxShifts/'; - if ~exist(folderName, 'dir') - mkdir(folderName) - end - - ratioData = cell2table([minFluxSource_r, maxFluxSource_r, MinFluxRatio, MaxFluxRatio]); - ratioData.Properties.VariableNames = {strcat('MinFlux_',source{1}), strcat('MaxFlux_',source{1}), 'MinFluxRatio', 'MaxFluxRatio'}; - newData = [data ratioData]; - - temp = split(xlsFilesInfo(i).name,"."); - resultFileName = strcat(temp(1),'_flux_shifts.xls'); - fullResultFilePath = strcat(folderName, resultFileName); - writetable(newData,fullResultFilePath{1},'AutoFitWidth',false); - catch e - disp(e); - end - end - end -end From 50be4051726913f2c315567d75a23312675bfb8e Mon Sep 17 00:00:00 2001 From: Yanjun Date: Mon, 18 Dec 2023 12:26:28 +0000 Subject: [PATCH 50/51] FastLeakTest modification --- src/reconstruction/modelGeneration/fastLeakTest.m | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/src/reconstruction/modelGeneration/fastLeakTest.m b/src/reconstruction/modelGeneration/fastLeakTest.m index f3549a3f83..e60302eb26 100644 --- a/src/reconstruction/modelGeneration/fastLeakTest.m +++ b/src/reconstruction/modelGeneration/fastLeakTest.m @@ -20,6 +20,7 @@ % .. Authors: % - IT Jan 2015 % - description added by AH July 2017 +% - modification YJ Liu Dec 2023 % if nargin<3 demandTest = 'true'; @@ -27,14 +28,16 @@ tol = 1e-06; modelClosed = model; % find all reactions that have only one entry in S -exp = full((sum(model.S ~= 0) == 1) & (sum(model.S < 0) == 1))'; -upt = full((sum(model.S ~= 0) == 1) & (sum(model.S > 0) == 1))'; -count = exp | upt; +exp = full((sum(model.S ~= 0) == 1)' & (model.ub >0)); +upt = full((sum(model.S ~= 0) == 1)' & (model.lb <0)); +reversibleEx = full((sum(model.S ~= 0) == 1)' & (model.lb <0) & (model.ub >0)); +count = exp | upt |reversibleEx; %Exporters should not be able to have a flux lower than zero %Importers should not be able to have a flux larger than zero modelClosed.lb(exp) = 0; modelClosed.ub(upt) = 0; +modelClosed.lb(count) = 0; %no uptake flux through any exchange reactions is permitted ExR = modelClosed.rxns(find(count)); From 46f9a63c80351934fddee62b78bf3c1ce07d5305 Mon Sep 17 00:00:00 2001 From: Farid Zare Date: Mon, 8 Jan 2024 17:00:20 +0000 Subject: [PATCH 51/51] Add MatGPT --- .gitmodules | 3 +++ external/visualization/MatGPT | 1 + 2 files changed, 4 insertions(+) create mode 160000 external/visualization/MatGPT diff --git a/.gitmodules b/.gitmodules index 9cf32f9c23..aafa21209a 100644 --- a/.gitmodules +++ b/.gitmodules @@ -75,3 +75,6 @@ [submodule "external/base/io/xlread"] path = external/base/io/xlread url = https://github.com/tpfau/xlread +[submodule "external/visualization/MatGPT"] + path = external/visualization/MatGPT + url = git@github.com:toshiakit/MatGPT.git diff --git a/external/visualization/MatGPT b/external/visualization/MatGPT new file mode 160000 index 0000000000..61dea6bdba --- /dev/null +++ b/external/visualization/MatGPT @@ -0,0 +1 @@ +Subproject commit 61dea6bdba984d663422e8a25977193d7a07ebd8

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