From 5b0c559bfa4f5b31de5bfd494bdaaff9dbcd24c1 Mon Sep 17 00:00:00 2001 From: Edu Benet Cerda Date: Wed, 23 Oct 2024 16:07:06 +0100 Subject: [PATCH] added OECM --- .../mANYg-nLw-7vELPUJLEtj7CR1vAd.xml | 6 + .../mANYg-nLw-7vELPUJLEtj7CR1vAp.xml | 2 + .../+iam/+data/BANKOFCANADAconnection.m | 16 +- .../+iam/+data/OECMconnection.m | 250 ++++++++++++++++++ .../+iam/@IAMTimeseries/IAMTimeseries.m | 2 +- tbx/IAMDataExplorer/+iam/DataExplorer.mlapp | Bin 51247 -> 51623 bytes tbx/IAMDataExplorer/app/IAMDataExplorer.mlapp | Bin 71804 -> 75011 bytes tests/tUserInterfaces.m | 2 +- 8 files changed, 274 insertions(+), 4 deletions(-) create mode 100644 resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAd.xml create mode 100644 resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAp.xml create mode 100644 tbx/IAMDataExplorer/+iam/+data/OECMconnection.m diff --git a/resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAd.xml b/resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAd.xml new file mode 100644 index 0000000..99772b4 --- /dev/null +++ b/resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAd.xml @@ -0,0 +1,6 @@ + + + + + \ No newline at end of file diff --git a/resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAp.xml b/resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAp.xml new file mode 100644 index 0000000..5bb939d --- /dev/null +++ b/resources/project/6U865ss7rJpoyBgB-D79RE0ihrc/mANYg-nLw-7vELPUJLEtj7CR1vAp.xml @@ -0,0 +1,2 @@ + + \ No newline at end of file diff --git a/tbx/IAMDataExplorer/+iam/+data/BANKOFCANADAconnection.m b/tbx/IAMDataExplorer/+iam/+data/BANKOFCANADAconnection.m index d5d6390..3e82905 100644 --- a/tbx/IAMDataExplorer/+iam/+data/BANKOFCANADAconnection.m +++ b/tbx/IAMDataExplorer/+iam/+data/BANKOFCANADAconnection.m @@ -64,6 +64,18 @@ obj.IA = ia; rl.run_id = ones(height(rl),1); + myRuns = configureDictionary('string','double'); + current = 0; + for i = 1 : height(rl) + if isKey(myRuns, rl.CL_SCENARIO(i)) + rl.run_id(i) = myRuns(rl.CL_SCENARIO(i)); + else + current = current + 1; + myRuns(rl.CL_SCENARIO(i)) = current; + rl.run_id(i) = current; + end + end + rl.unit = data_raw{ia, "CL_UNIT"}; rl.model = repmat("CL", height(rl), 1); @@ -164,12 +176,12 @@ end function runs = getRunsList(obj) - runs = obj.TimeseriesList; + runs = unique(obj.TimeseriesList(:,{'scenario', 'model','run_id'}), 'stable', 'rows'); end function value = getDocumentation(~, ~, ~) - value = struct('description','Please visit the official LIMITS Website for details '); + value = struct('description','Please visit the official Bank of Canada Website for details '); end diff --git a/tbx/IAMDataExplorer/+iam/+data/OECMconnection.m b/tbx/IAMDataExplorer/+iam/+data/OECMconnection.m new file mode 100644 index 0000000..eafbbcd --- /dev/null +++ b/tbx/IAMDataExplorer/+iam/+data/OECMconnection.m @@ -0,0 +1,250 @@ +classdef OECMconnection < iam.data.Connection + + % Copyright 2021-2022 The MathWorks, Inc. + + properties (Dependent) + Environment + end + + properties (SetAccess = private) + Url (1,1) string + TimeseriesList + end + + properties (Access = private) + RawData + IA + IC + YEARS + end + + properties (SetAccess = private) + Config struct = struct( ... + 'name', "OECM", 'env', "boc",'productName', "OECM", ... + 'database', "OECM", "welcome", "Welcome to the One Earth Climate Model"); + + ConnectionProperties + end + + properties (Constant, Access = private) + ENVIRONMENT = "OECM"; + end + + properties + AllEnvironments + end + + methods + + function obj = OECMconnection(url) + + arguments + url (1,1) string = "https://www.uts.edu.au/sites/default/files/2022-05/" + end + + obj.Url = url; + + try + globalR = obj.Url + "/OECM_Global_2022_04_22_Results_All_CSV.xlsx"; + opts = detectImportOptions(globalR, Range = 'A2', ReadVariableNames = true, TextType = 'string', VariableNamingRule='preserve'); + opts = opts.setvaropts("Remarks", "Type","string"); + data_raw = readtable(globalR,opts); + data_raw.REGION = repmat("GLOBAL", height(data_raw),1); + + data_rawEurope = readtable(obj.Url + "OECM_OECD_Europe_2022_04_22_Results_All_CSV.xlsx", opts); + data_rawEurope.REGION = repmat("EUROPE", height(data_rawEurope),1); + + data_rawNA = readtable(obj.Url + "OECM_OECD_North_America_2022_04_22_Results_All_CSV.xlsx", opts); + data_rawNA.REGION = repmat("North America", height(data_rawNA),1); + + data_raw = [data_raw; data_rawEurope; data_rawNA]; + catch e + error('iam:data:OECMconnection:UnableToGetData', "Unable to get the raw data." + e.message) + end + + data_raw.MODEL = repmat("OECM", height(data_raw),1); + idx = ismissing(data_raw.Sector); + data_raw.Sector(idx) = data_raw.Sector(find(idx)-1); + data_raw.VARIABLE = data_raw.Sector + "|" + data_raw.Subsector + "|" + data_raw.Description; + data_raw.SCENARIO = data_raw.Label; + idx = data_raw.SCENARIO == "IEA WEO 21"; + data_raw.MODEL(idx) = "IEA"; + idx = ismissing(data_raw.SCENARIO); + data_raw.SCENARIO(idx) = "TOTAL"; + data_raw.Description = strtrim(data_raw.Description) + " " + strtrim(data_raw.Remarks); + data_raw.UNIT = data_raw.Unit; + data_raw.Unit = []; + data_raw.Sector = []; + data_raw.Subsector = []; + data_raw.Index = []; + data_raw.Label = []; + data_raw.run_id = ones(height(data_raw),1); + myRuns = configureDictionary('string','double'); + current = 0; + for i = 1 : height(data_raw) + if isKey(myRuns, data_raw.MODEL(i) + data_raw.SCENARIO(i)) + data_raw.run_id(i) = myRuns(data_raw.MODEL(i) + data_raw.SCENARIO(i)); + else + current = current + 1; + myRuns(data_raw.MODEL(i) + data_raw.SCENARIO(i)) = current; + data_raw.run_id(i) = current; + end + end + + % data_raw = movevars(data_raw, ["MODEL", "SCENARIO", "VARIABLE", "run_id", "UNIT"]) + + % data_raw.VARIABLE = string(data_raw.CL_VARIABLE ) + "|" + string(data_raw.CL_SECTOR ); + % data_raw.CL_GEOGRAPHY = string(data_raw.CL_GEOGRAPHY); + % data_raw.CL_SCENARIO = string(data_raw.CL_SCENARIO); + % data_raw.CL_UNIT = string(data_raw.CL_UNIT); + % data_raw.CL_SECTOR = string(data_raw.CL_SECTOR); + + obj.RawData = data_raw; + + data_raw = data_raw(:, ["MODEL", "SCENARIO", "REGION", "VARIABLE", "run_id", "UNIT"]); + + [data_raw,ia,ic] = unique(data_raw(:,["MODEL", "SCENARIO", "REGION", "VARIABLE", 'run_id', 'UNIT' ]), 'stable', 'rows'); + + obj.IC = ic; + obj.IA = ia; + % + % data_raw.run_id = ones(height(data_raw),1); + % data_raw.unit = data_raw{ia, "CL_UNIT"}; + + % data_raw.model = repmat("CL", height(data_raw), 1); + + obj.TimeseriesList = data_raw; + obj.TimeseriesList.Properties.VariableNames = {'model', 'scenario', 'region', 'variable', 'run_id', 'unit'}; + end + + function ts = getBulkData(obj, varargin) + + p = inputParser(); + + func = @(x) isstring(x) | ischar(x); + addParameter(p, 'models', '', func) + addParameter(p, 'scenarios', '', func) + addParameter(p, 'runs', [], @isnumeric) + addParameter(p, 'variables', '', func) + addParameter(p, 'regions', '', func) + addParameter(p, 'years', '', func) + addParameter(p, 'units', '', func) + addParameter(p, 'timeslices', '', func) + + parse(p, varargin{:}); + + idx = true(height(obj.TimeseriesList), 1); + if ~isempty(p.Results.models) + idx = idx & ismember(obj.TimeseriesList.model, p.Results.models); + end + + if ~isempty(p.Results.scenarios) + idx = idx & ismember(obj.TimeseriesList.scenario, p.Results.scenarios); + end + + if ~isempty(p.Results.runs) + idx = idx & ismember(obj.TimeseriesList.run_id, p.Results.runs); + end + + if ~isempty(p.Results.variables) + idx = idx & ismember(obj.TimeseriesList.variable, p.Results.variables); + end + + if ~isempty(p.Results.regions) + idx = idx & ismember(obj.TimeseriesList.region, p.Results.regions); + end + + idxA = find(idx); + tlist = obj.TimeseriesList(idx, :); + + data = struct([]); + for num = 1 : numel(idxA) + + idxC = ismember(obj.IC, idxA(num)); + rawdata = obj.RawData(idxC, :); + + valuesIdx = startsWith(rawdata.Properties.VariableNames, '2'); + + data(num).model = tlist.model(num); + data(num).scenario = tlist.scenario(num); + data(num).variable = tlist.variable(num); + data(num).region = tlist.region(num); + data(num).runId = tlist.run_id(num); + data(num).version = []; + data(num).unit = tlist.unit(num); + data(num).years = str2double(rawdata.Properties.VariableNames(valuesIdx)); + data(num).values = timetable( datetime(data(num).years', 1,1), rawdata{:,valuesIdx}', DimensionNames = {'Year', 'Variables'}); + + end + + ts = iam.IAMTimeseries(data); + + end + + function params = getRunDetails(obj, runId) + idx = obj.TimeseriesList.run_id == runId; + params = obj.TimeseriesList.variable(idx); + end + + function refs = getRefs(obj) + + models = obj.getAllModels; + ID = (1 : numel(models))'; + Name = models; + refs.models = table(ID,Name); + + scenarios = obj.getAllScenarios; + ID = (1 : numel(scenarios))'; + Name = scenarios; + refs.scenarios = table(ID,Name); + + vars = unique(obj.TimeseriesList.variable); + ID = (1 : numel(vars))'; + Name = vars; + refs.variables = table(ID,Name); + + reg = unique(obj.TimeseriesList.region); + ID = (1 : numel(reg))'; + Name = reg; + refs.regions = table(ID,Name); + + end + + function runs = getRunsList(obj) + runs = unique(obj.TimeseriesList(:,{'scenario', 'model','run_id'}), 'stable', 'rows'); + end + + function value = getDocumentation(~, ~, ~) + + value = struct('description','Please visit the official LIMITS Website for details '); + + end + + end + + methods + function value = get.Environment(obj) + value = obj.ENVIRONMENT; + end + + function response = getAllModels(obj) + response = unique(obj.TimeseriesList.model); + end + + function response = getAllScenarios(obj) + response = unique(obj.TimeseriesList.scenario); + end + + function value = getEnvironments(obj) + productName = obj.Config.productName; + env = obj.Config.env; + uiUrl = obj.Url; + name = obj.Config.name; + scheme = ""; + + value = table(productName, env, uiUrl, name, scheme); + end + + end + +end diff --git a/tbx/IAMDataExplorer/+iam/@IAMTimeseries/IAMTimeseries.m b/tbx/IAMDataExplorer/+iam/@IAMTimeseries/IAMTimeseries.m index 76b3569..30838e8 100644 --- a/tbx/IAMDataExplorer/+iam/@IAMTimeseries/IAMTimeseries.m +++ b/tbx/IAMDataExplorer/+iam/@IAMTimeseries/IAMTimeseries.m @@ -158,7 +158,7 @@ function lst = getRunList(obj) lst = table( ... [obj.Model]',[obj.Scenario]',[obj.Variable]',[obj.Region]',[obj.RunId]',[obj.Version]', ... - 'VariableNames',{'Model','Scenario','Variable','Region','RunId','Verison'}... + 'VariableNames',{'Model','Scenario','Variable','Region','RunId','Version'}... ); end diff --git a/tbx/IAMDataExplorer/+iam/DataExplorer.mlapp b/tbx/IAMDataExplorer/+iam/DataExplorer.mlapp index de9b88ac2e525eb1a06af0ec727c1a176445ff0d..f18e4f2a454371e00cb9b43d7bfad13e6473304a 100644 GIT binary patch delta 49774 zcmV(zK<2-%kOQZa1F-u73gpw;|EU)M011GT1p`HYr2M$F`P;u;JV=lLNYHkxOe9Oh zE|&Yk?&87Mf4yBtJvB-z?8;A^(rzDcqm&5}9I zbHKlUj<$CulfCV=AI1YjIZJ{&{7l)~dB#32i@S)Dn}cgVIvfCDbg=#A^>%rky%ld> z|KFG6lcTGnFZ0OH^MEeMiC_5dZqq2qXhvQWpds>So}Z? z|M~QNxZGrvs4qd#CiM8l67YQ((K8xvh~-rQ&Xc$R-qFm%_9cSjB#!C40D)f8q5wwc zb#$Ewe#ye%gMXK7is{sqf(oWY^Xt{whaKBpXlSw|@(`i~KlfuA{W0C`!v_XaVz}~u zXTN00Chdbk!jwo*tKJ@6zI*rg^ADdc-d#8%sl<8u;Yx>chp!m>(iz?$jOwTThoIp? zvC70jC>2sOmfrWX_YgE^;83Cyu;-KHCjQ{hXw-%Vb(A$S!*`N_@Un4<;x|7F{aHk9 zRCJNhgue#~7n`_+2i+tn@D9Q-l5jbHr!m|}a$hbq;qO7hhr|zHpgYg#bx3b;{CK-5 ziX^t9;MW_*@xsUg9YMQsOed}wT8(4p`2)~g(g?;88WhRzN%n1)B;R^6tzl zI^mANAWWlSThZtSc0w2aCMvQ`oF{Q~cf6wWZ>nf?c-f?>Pw{n_B{9a14P)=LaT~mq zgqn@hICvsszT+gl%fjWVAUl(t$uoGHlB*RZXMV9lh0Vw0G@g4;TH?Jdy!H!P1$^%+ zy2xlco^FxQUwaq^Ru?L6f_EW*qXTS}15f7#VB~*{hHD&ChGX*mKVve?g!(U_D>o=_CyGq` zY`(%)GYF|!OTqlyt6w`7KmSw#A6@%lgmT)FO zc;#nB)lmAIIxW!dMqH?bAW|3~V`Z&*?W%giJf?;uqS7j+eY995fl)8RR8nXM`>ZSwi2FM8GbW zmK1j>#h$=kw{&jNbz0nw3|ASwH34LFom^9a8nHTXu#UkG0tMVi6y8<)9pCU)&@lNf9(B3uu6Yktatc;w$}eBykcy3;0z}=NB_Q zPjNk7l{tgupg%x=VS0>=d3kAQX0By?1pMgWK= z1$$$3j<#A9(Q2w3R5#Xpj8nhxL6iutS;whbKP)cF4XUgNqJ>2qyg|FDq8T+wWe&7QN8g9T|CqaJ=CuwWN;WQ92!% zwrn9lsKR4+kNGw$>;MOI$Y)1f3C5h+E!;wXz!q}3hG9*i3NIg<_QK+^vCewQ>Z~KI z=z=QX`?#$A!VlNkSd@P8>atQ395I`BZBW`sc*aqYH(QstRQt8`sggsI7*lD^k7!m{ zz3AX$LI!^!5&`)O8DQxi%Lyw==9?_T5;`j=4aNjpv#SHg>e5ppW|~sw?@P)L*l^@2Ua0u@!8tpXtrfb>YTV$&i*}^QN2lT&@KPgXUJF&02LOh73;$160?d4`uGAZM0nY^$g(rB~B0xari-_ zFDEEH&%@t^Qz#pltd1MKoWaDByHUqW)Q8sD&(ZMQ&$zQ;5Y_q!7;E2xM_*>iCJv4h zxIY+vzf8QH=VN$#g>O4w4YZkmCFM|4Mk(R?3WJ22BC1Ws{*UBTpC0ZZta(KJc$0pb z{S(Ma;$!}G^z&$|;+0j#$PlZ1>m=zyu3hImsI6bIWcoEQOh;G=EC7?vn@-B$+|}db zR?;%C5z#6@p7^*(ZlJTNb9*qm%^D@U(+$!vRsd=ms|CmBQ{<)hcL_GU8Me3lhjU9L zuWbCy*0`J;eGj_ZjhjzpcD8LQ3$#P$M3Gf|&r>t`#a zm#o5Tu_S#3c_%h1%UyvGwwxr)DT{t3bogqkK%a_;k9d zl-S*cHDhe=tt-*&?%0%kwfEVQt~Eo=?i3`*{F^wrvBdqa$qxB{_rFUouMRJoK`jKG zKgK^eo%NK>P;ai~7dw3swv2U6+9XyFxM!;HH@JHjMlMMqC`BG+-C9D zcg*6!kkKm*#sl1Z6Vc06QotA1?u17E-C#T&53u%>fo=@Oa4!vN3h%N=(n@iDl<`cH zZsssXg=K})Q^FH}g*mvjWvxPEO)ado7`-XOeaumFcg39LgKPd5w8%nw-Fw+Wk=>bx zD#dmru_%H z?%P^c)wNRTAFB0^GhJ#g>U_60*VvfG^5s01d9u;Ll#~Ugon>@RnzD*I=L$02f<`V|RN;*NquYdqm%#A`j1)%X zG{USO%Yr0N*21wY!YnU@Q#mp0^XNYVY}k;fi__4kLy|7s>u(Fqt&COp$1gb9fUA-{ zNQ2r&9-|V~pdlRy7kaICJUow*Lfqf5cPeRr*^i-f)6%dvcWoO$4BT!8tIA#sfdzfm zC%^)@uXXr)Wv`K#)=bb1rwuu?Gc0o9X%#t}PrJ~? 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testCase.press(testCase.App.LoginButton_3) - h = findall(0,'Type','figure', 'Name','IAM Explorer'); + h = findall(0,'Type','figure', 'Name','IAM Explorer');feature f t = h.RunningAppInstance; testCase.verifyNotEmpty(t); testCase.verifyTrue(isvalid(h));