diff --git a/CHANGELOG.md b/CHANGELOG.md index ef1fe15a..dcc6339e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,6 +10,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/). ### Added - ML Enabled Galveston CGE [#641](https://github.com/IN-CORE/pyincore/issues/641) +- ML Enabled Mobile CGE [#658](https://github.com/IN-CORE/pyincore/issues/658) - Add ML enabled Seaside CGE [#657](https://github.com/IN-CORE/pyincore/issues/657) ### Changed diff --git a/docs/source/modules.rst b/docs/source/modules.rst index 1aab6ab0..9218c474 100644 --- a/docs/source/modules.rst +++ b/docs/source/modules.rst @@ -244,10 +244,14 @@ analyses/mlenabledcgegalveston :members: analyses/mlenabledcgejoplin -======================== +=========================== .. autoclass:: mlenabledcgejoplin.mlcgejoplin.MlEnabledCgeJoplin :members: +analyses/mlenabledcgemobile +=========================== +.. autoclass:: mlenabledcgemobile.mlcgemobile.MlEnabledCgeMobile + analyses/mlenabledcgeseaside ======================== .. autoclass:: mlenabledcgeseaside.mlcgeseaside.MlEnabledCgeSeaside diff --git a/pyincore/analyses/mlenabledcgemobile/DDS_coefficients.csv b/pyincore/analyses/mlenabledcgemobile/DDS_coefficients.csv new file mode 100644 index 00000000..d567ce49 --- /dev/null +++ b/pyincore/analyses/mlenabledcgemobile/DDS_coefficients.csv @@ -0,0 +1,28 @@ +"Testbed","Hazard","Model_Type","Model_Name","(Intercept)","DRY_BULK","LIQUID_BULK","CONTAINER","WAREHOUSE","AGRI","MINING","UTIL","CONST","MANU","WHOLE","RETAIL","TRANS","INFO","FINANCE","REALE","PROF","MANAGE","ADMIN","EDU","HEALTH","ART","ACCO","OTHER","HS1","HS2","HS3" 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CONST_WB_L1","-0.183968887045175","-0.0163184961514843","-0.00924423151134717","-0.00792383393909386","-0.00835910650493735","0.03735843945493","-0.0442536436824976","0.00484117427973605","-0.0769350408790973","-0.0055040546124186","-0.00252635733872177","0.00403702194594475","-0.000879949804753071","0.0017575200097518","-0.000428100780041094","0.00807051613127675","-0.000572417227377389","0.000843508731420523","0.0104841853909004","0.00725286990424575","0.0040215211418762","0.00153498724321435","0.0219953379182414","0.00317110932538627","-0.00371246274687898","-0.0027853069729306","-0.00432370711701698" +"Mobile","hurricane","sector_model","DFFD _ CONST_WB_L2","1.22214118642992","-0.0469899682459484","-0.0269417601733976","-0.0219695182305302","-0.0249539629557206","0.0783317557725369","-0.126055526072932","0.00870627824979863","-0.218603619379369","-0.0157716929992876","-0.00346063260159428","0.0120599016764133","0","0.00736780821907512","0","0.0353567204900813","-0.000132166084872947","0","0.0300666008345768","0.011848619288391","0.0201824865269697","0.00114700265678643","0.0205096773464351","0.00670984790792722","-0.0115515023924502","-0.00862716120524733","-0.0131361416703438" +"Mobile","hurricane","sector_model","DFFD _ CONST_WB_L3","2.74451502905009","-0.09639925224198","-0.0560520613428215","-0.0455461950223765","-0.0521644505088329","0.0651480413287325","-0.185109881037415","0.0519729799025388","-0.34801801318805","-0.0144722970029617","-0.016589878245363","0.00365184259854514","2.93348854637256e-05","0.010807912865574","-7.01096676741761e-05","0.0616743163130552","0.005079946352827","0.116575333455354","0.0276761777434124","0.0271565773080988","0.0267680211381332","0.00229890916692099","0.00236288678508152","0.014570523967491","-0.0114620926294485","-0.0138135852033224","-0.0380937955649039" +"Mobile","hurricane","sector_model","DFFD _ CONST_WB_L4","0.107098304153341","-0.00923366530807422","-0.00542763825917499","-0.00411372012412445","-0.0050231398436322","0.00350057575556454","-0.0177359447980932","0.00262339238916304","-0.0341686688138707","-0.00095865798885056","-0.000160060338727932","-0.000277943275749629","0.000404494161646192","0.00165464199443133","0.000511657382311215","0.00207777180710007","0.00188095026313401","0","0","0.000942042049562679","0.00404022117027876","0.000354527806018653","-0.000423991789095157","0.000410588096141434","-0.000479312798327537","-0.00120830238445632","-0.00467604807443821" +"Mobile","hurricane","sector_model","DFFD _ CONST_BB_L1","-0.224789464615059","-0.00307553036934294","-0.00172412615845365","-0.00127804089384674","-0.00155412168987131","0","-0.00784483799615421","0.00035059316029865","-0.0144474033635289","-0.0010982471518947","-0.00086604559760376","0.00111838147725674","0","0.000135353891694344","0","0.000530813921368343","-0.000286724101767849","0","0.00334553414266081","0.0010061168564943","0.00119464899178796","7.17081064816591e-05","0.00340377547543303","0.000249538020058577","-0.000768885937191123","-0.000519841253493864","-0.000616138273877983" +"Mobile","hurricane","sector_model","DFFD _ CONST_BB_L2","0.57392394566962","-0.0419822069687922","-0.0243654863005032","-0.0196910661833818","-0.0222079693554499","0.0280525699855014","-0.100263910728326","0.0134685314173448","-0.177387144962692","-0.0131830828214032","-0.00983547355357366","0.00598217517961457","0.000176489536716399","0.00701107758414188","-0.000443982738883327","0.0144793398341284","-0.00379174476663106","0","0.0334548917341096","0.00734543198265483","0.030619175653579","0.000727632432135296","0.0199788310983393","0.000917434141437732","-0.0126531894101264","-0.00800663598667031","-0.00723320272028457" +"Mobile","hurricane","sector_model","DFFD _ CONST_BB_L3","-0.44311827250469","-0.00566809230686122","-0.00339926722889818","-0.00254445257053208","-0.00309825932572212","0.00164652383512535","-0.00760097397805075","0.00609162955390956","-0.0157935327828064","-0.000677664751707873","-0.00111232363828029","-1.51426053322458e-05","8.33689261595204e-05","0.000944297936124217","-0.000103136167145098","0.00255147880879679","-0.000277592468404387","0","0","0.00232191861153573","0.00144451878824411","0.000163509601069971","-0.000323846884873127","0.000325401837110222","-0.000726911501458594","-0.000714805003673962","-0.00164163923378208" +"Mobile","hurricane","sector_model","DFFD _ 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b/pyincore/analyses/mlenabledcgemobile/DY_coefficients.csv @@ -0,0 +1,17 @@ +"Testbed","Hazard","Model_Type","Model_Name","(Intercept)","DRY_BULK","LIQUID_BULK","CONTAINER","WAREHOUSE","AGRI","MINING","UTIL","CONST","MANU","WHOLE","RETAIL","TRANS","INFO","FINANCE","REALE","PROF","MANAGE","ADMIN","EDU","HEALTH","ART","ACCO","OTHER","HS1","HS2","HS3" +"Mobile","hurricane","main_model","totDY","3.62097362982632","0","0","0.00400589239750462","0.0341518260295303","0","0","0","-0.0244420191485282","-0.021425002581498","-0.0280202660406534","-0.034222111785009","-0.0119536706821565","-0.0196452121989614","0","-0.0630981988076364","-0.0277049200054964","0","-0.0328818089892819","-0.0261532134970828","-0.0467390880848775","-0.00164896297530149","-0.0340451042677485","-0.0238429390362962","-0.0508859458233607","-0.0555575168569942","-0.0918893651969237" +"Mobile","hurricane","sector_model","DY _ 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+208,COUNTY_L1BB,46 +209,COUNTY_L2BB,168 +210,COUNTY_L3BB,475 +211,COUNTY_L2OB,24 +212,COUNTY_L3OB,30 +213,STATE_L1WA,16 +214,STATE_L2WA,155 +215,STATE_L3WA,295 +216,STATE_L4WA,24 +217,STATE_L1BA,23 +218,STATE_L2BA,85 +219,STATE_L3BA,239 +220,STATE_L1OA,15 +221,STATE_L2OA,12 +222,STATE_L3OA,15 +223,STATE_L1WB,30 +224,STATE_L2WB,149 +225,STATE_L3WB,284 +226,STATE_L4WB,23 +227,STATE_L1BB,22 +228,STATE_L2BB,81 +229,STATE_L3BB,230 +230,STATE_L2OB,12 +231,STATE_L3OB,15 +232,FED_L1WA,13 +233,FED_L2WA,109 +234,FED_L3WA,207 +235,FED_L4WA,17 +236,FED_L1BA,16 +237,FED_L2BA,59 +238,FED_L3BA,167 +239,FED_L1OA,9 +240,FED_L2OA,9 +241,FED_L3OA,11 +242,FED_L1WB,21 +243,FED_L2WB,105 +244,FED_L3WB,199 +245,FED_L4WB,16 +246,FED_L1BB,16 +247,FED_L2BB,57 +248,FED_L3BB,161 +249,FED_L2OB,8 +250,FED_L3OB,10 diff --git a/pyincore/analyses/mlenabledcgemobile/GI_base_val.csv b/pyincore/analyses/mlenabledcgemobile/GI_base_val.csv new file mode 100644 index 00000000..d2805e52 --- /dev/null +++ b/pyincore/analyses/mlenabledcgemobile/GI_base_val.csv @@ -0,0 +1,16 @@ +,household,value +0,HH1W,26.36709143 +1,HH2W,235.6540369 +2,HH3W,1297.882557 +3,HH4W,2920.545247 +4,HH5W,1514.630677 +5,HH1B,39.26236596 +6,HH2B,312.0192096 +7,HH3B,804.2194034 +8,HH4B,682.6302005 +9,HH5B,85.98389855 +10,HH1O,6.301462495 +11,HH2O,69.93708717 +12,HH3O,89.94230061 +13,HH4O,152.8671867 +14,HH5O,203.0678413 diff --git a/pyincore/analyses/mlenabledcgemobile/HH_base_val.csv b/pyincore/analyses/mlenabledcgemobile/HH_base_val.csv new file mode 100644 index 00000000..06b50ab1 --- /dev/null +++ b/pyincore/analyses/mlenabledcgemobile/HH_base_val.csv @@ -0,0 +1,16 @@ +,household,value +0,HH1W,13956 +1,HH2W,21096 +2,HH3W,34511 +3,HH4W,39430 +4,HH5W,11189 +5,HH1B,14439 +6,HH2B,15225 +7,HH3B,20677 +8,HH4B,10832 +9,HH5B,1157 +10,HH1O,2915 +11,HH2O,2470 +12,HH3O,1695 +13,HH4O,2451 +14,HH5O,1024 diff --git a/pyincore/analyses/mlenabledcgemobile/MIGT_coefficients.csv b/pyincore/analyses/mlenabledcgemobile/MIGT_coefficients.csv new file mode 100644 index 00000000..9b76c6d0 --- /dev/null +++ b/pyincore/analyses/mlenabledcgemobile/MIGT_coefficients.csv @@ -0,0 +1,17 @@ +"Testbed","Hazard","Model_Type","Model_Name","(Intercept)","DRY_BULK","LIQUID_BULK","CONTAINER","WAREHOUSE","AGRI","MINING","UTIL","CONST","MANU","WHOLE","RETAIL","TRANS","INFO","FINANCE","REALE","PROF","MANAGE","ADMIN","EDU","HEALTH","ART","ACCO","OTHER","HS1","HS2","HS3" +"Mobile","hurricane","main_model","totMIGT","-56.5207383308125","-0.762728505986173","-0.519399047607199","-0.316047148445714","-0.424834981275103","0","0","0","-0.0792566885622522","-0.0913803320669493","-0.112903781352632","-0.139990944035544","-0.0623995905499124","-0.101941921402386","-0.0575500280158685","-0.135444334399589","-0.0737222979140087","0","-0.140587357056306","-0.0874116132427721","-0.157724081000392","-0.0309489188205002","-0.20297247867995","-0.0699131087590196","-0.311257216908991","-0.255017579611042","-0.374311030176487" +"Mobile","hurricane","sector_model","MIGT _ HH1W","2.62581123966599","0","-0.00103551987403484","0","-0.00127737663388468","0","0","0","0","-0.000791835949599678","-0.00259653837927899","-0.00183612593466692","-0.000666837476827396","-0.000710714146857246","-0.000459801017776838","0","-0.000863611226072752","0","0","-0.000533142439654654","-0.000219381127755588","-0.000375597618664602","-0.00141892074187733","-0.000466735189421702","-0.0193232196586315","-0.0107673112866659","-0.00262195397385142" +"Mobile","hurricane","sector_model","MIGT _ HH2W","4.93528204591422","-0.00751390573659472","-0.00897037574645211","-0.000823936769045315","-0.00587023381187951","0","0","0","-0.000354648494957261","-0.00183623965677434","-0.00617411980058648","-0.00607413949685996","-0.00178577455034792","-0.00305739692169347","-0.00179684318447142","-0.00396850028001695","-0.00127444004102091","0","-0.00443519854205258","-0.00150866037195394","-0.00428904611760682","-0.00116623327387605","-0.00676560327432472","-0.00208850575092898","-0.0375330991054405","-0.0205692704003427","-0.00200872898950516" +"Mobile","hurricane","sector_model","MIGT _ HH3W","11.1504776195535","-0.0601268373476825","-0.0401902252653575","-0.0154566929894923","-0.0241079072709299","0","0","0","-0.0119162890004583","-0.0104255845254901","-0.0184225714844553","-0.020423476393245","-0.00641898885033715","-0.0145867164012032","-0.00479671725871203","-0.0294406292687523","-0.0109166207867224","0","-0.0173827916479449","-0.0100284534645704","-0.0153636421669902","-0.00239588713755635","-0.0223846974430079","-0.0125577694051355","-0.0835898024351689","-0.0438251871251735","0.0145191741532814" +"Mobile","hurricane","sector_model","MIGT _ HH4W","-34.8637710474862","-0.233043087692006","-0.173796628028657","-0.0824677927170686","-0.137998965199741","0","0","0","-0.0305094054722932","-0.0306426690230306","-0.0321961067020148","-0.0411832627931235","-0.0168787977116167","-0.0184940602921919","-0.0167339347362154","-0.0458114371659264","-0.0213427823477305","0","-0.0343211419681758","-0.0261218617647516","-0.0448211412524277","-0.00870686138221773","-0.0599582846264119","-0.0236565353141952","-0.00720942231828274","-0.0536197507113165","-0.216797928834176" +"Mobile","hurricane","sector_model","MIGT _ HH5W","-1.56361606088157","-0.0548605798648725","-0.034153131800271","-0.020532688151718","-0.0272821015448284","0","-0.00259571775738235","0","-0.00591791516448463","-0.00675141163313491","-0.00863655520329629","-0.00773874195469712","-0.00547460802969306","-0.00669350388075468","-0.00268959274846715","-0.00739059683704442","-0.0102590108372944","0","-0.0065794586424214","-0.00678527106895727","-0.0103521241400955","-0.00286075854151919","-0.010260129441479","-0.00380347384493488","-0.0040304756720387","-0.0134910233526583","-0.0498407858211607" +"Mobile","hurricane","sector_model","MIGT _ HH1B","3.36263575158569","0","-0.00210768282315729","-0.00133936257352298","-0.00322553011670678","0.00289746142269804","0","0","0.000102253487282331","-0.000938609872066945","-0.0027337053196558","-0.00266768420250176","-0.00107855579178778","-0.00165218105125798","-0.000914459322502427","0","-0.00120716006124005","0","-0.00192076091463013","-0.000900979040296641","-0.00100853421132585","-0.000414419104173684","-0.00278494868240803","-0.0005686001852411","-0.0198967110971462","-0.0110553512437108","-0.00243786713773717" +"Mobile","hurricane","sector_model","MIGT _ HH2B","3.88142611981654","-0.0125561223676255","-0.0151559688402599","-0.00557304414844138","-0.0119079695982844","0","0","0","-0.00156499983577939","-0.0020456771486058","-0.00425988161948151","-0.00690580823980178","-0.00221015839284323","-0.00310895672164479","-0.000453804077343466","-0.00247804692754397","-0.000798364528000159","0","-0.0108604246325598","-0.00182882923844207","-0.0113195470489437","-0.000747604635766244","-0.011584331125383","-0.00158385844909744","-0.0334550291714333","-0.0181851523694407","0" +"Mobile","hurricane","sector_model","MIGT _ HH3B","-1.00772126442865","-0.105860343709237","-0.0771941722336486","-0.0486672318553521","-0.0667986458765679","0","0","0","-0.00719771270954856","-0.0124920299809251","-0.0147913623743481","-0.021671162316724","-0.00898488260340865","-0.0143173260945529","-0.00487310040234829","-0.0171699282177148","-0.00744069621736055","0","-0.0207541044287323","-0.0141496600639409","-0.0279457668502192","-0.00398552715235669","-0.0331554519242798","-0.00887472794425863","-0.0788427785006316","-0.0401669281687648","0.0130411634365114" +"Mobile","hurricane","sector_model","MIGT _ HH4B","-40.5750009212539","-0.122672947606103","-0.0894205234652496","-0.0576319657113198","-0.0791679116048968","0","0","0","-0.0111918655137848","-0.0131662308666406","-0.0103219496653768","-0.0167647790594294","-0.00810321096514961","-0.00893852251772252","-0.00773162323724651","-0.0128292816239191","-0.00497220670781825","0","-0.0143360911014946","-0.0137203026373457","-0.0214223084211974","-0.0043262161372211","-0.0286812250290182","-0.00748061154987429","-0.00100638014573438","-0.0213272955922767","-0.0932968652803166" +"Mobile","hurricane","sector_model","MIGT _ HH5B","-4.07642796312607","-0.0122998902275319","-0.00847458108793814","-0.00601098600353221","-0.0076039128185848","0","0","0","-0.00124899428035116","-0.00107956626174431","-0.000957912400021727","-0.00140506842194111","-0.000852535956053228","-0.000497731792333214","-0.000225176990271164","-0.000744890379836178","-0.00102592470084767","0","-0.00134444962394831","-0.00127806612171686","-0.00155538958859787","-0.000493767068262083","-0.00241581554810889","-0.000546845367868665","-0.000462860786776012","-0.00221896960346839","-0.00910005031541847" +"Mobile","hurricane","sector_model","MIGT _ HH1O","0.611900639388301","-0.000121418801836704","-0.00034275795410632","-0.000116270008032327","-0.000339325069835411","0.0020293304425842","0","0","6.84694028728056e-05","-0.000154342812567359","-0.000523668427983801","-0.000355763504753486","-0.000151294657688786","-0.000326919620135027","-0.000176484459737045","0","-0.000186515127579939","0","0","-4.06342714688134e-05","-5.94877143146773e-05","-8.55022891314976e-05","-0.000654020287932551","-0.000148910583506905","-0.00398997655335995","-0.00222604381781103","-0.00049890957729345" +"Mobile","hurricane","sector_model","MIGT _ HH2O","-3.37453602334345","-0.0214212672185424","-0.0171851455558769","-0.00869525720017795","-0.0125693169781723","0","0","0","-0.00120974130509166","-0.00234680684494782","-0.00180733403662648","-0.00309448949500716","-0.00102565853717753","-0.00290850331966454","-9.82310175592671e-05","-0.00301248581891787","-0.000508304315129588","0","-0.00132608015274903","-0.00246723449830805","-0.00390699003184521","-0.000447589828138676","-0.00639944319219832","-0.0018143584198272","-0.0148104153659674","-0.00754351684326815","0.00179674018576846" +"Mobile","hurricane","sector_model","MIGT _ HH3O","-0.0653924052576365","-0.00962087138604782","-0.00712435950339245","-0.00297258423539252","-0.00456400527585605","0","0","0","-0.000153986537213686","-0.00112820676926423","-0.00108498224836861","-0.0023389945878921","-0.000439892218989228","-0.00108489076729844","-0.000214747981125995","-0.000865829215304888","-0.000589668598004554","0","-0.000249630788525142","-0.0010544431591331","-0.0045321234741145","-0.000346766339956602","-0.0027786042182746","-0.00175805459923722","-0.00718666609279886","-0.00360349556144466","0.00167780025563957" +"Mobile","hurricane","sector_model","MIGT _ HH4O","-10.2795745717089","-0.0299398882311717","-0.0225878239830684","-0.0143148195641641","-0.0190288323200221","0","0","0","-0.00140546894159649","-0.00329839706667507","-0.00246383223360363","-0.0041665123780691","-0.00189008868690254","-0.00206687150370512","-0.00242347864664728","-0.00189973710850881","-0.00217035941215881","0","-0.00538916923399391","-0.0022384480987107","-0.00579039889777528","-0.00119840934335562","-0.00747671406571441","-0.00239216231211765","-0.000425124325745624","-0.00510329373678814","-0.0219587375736658" +"Mobile","hurricane","sector_model","MIGT _ HH5O","-3.6302169117826","-0.0108313114551448","-0.00786899627087175","-0.00636582430529071","-0.00706564039626987","0","-0.000686601989141434","0","-0.000606772784941357","-0.00157601182811381","-0.000937138192172721","-0.00117175210312835","-0.00123950392536535","-0.000847015570457847","-0.000859282505247417","-0.000797085037081798","-0.0024190034486569","0","-0.00505783861108153","-0.000977831905958468","-0.00128816329872454","-0.000628476708086357","-0.00210260704612632","-0.000647112006186343","-0.000372066158628364","-0.0019958027506017","-0.0078734093808203" diff --git a/pyincore/analyses/mlenabledcgemobile/__init__.py b/pyincore/analyses/mlenabledcgemobile/__init__.py new file mode 100644 index 00000000..b8f822b4 --- /dev/null +++ b/pyincore/analyses/mlenabledcgemobile/__init__.py @@ -0,0 +1,9 @@ +# Copyright (c) 2024 University of Illinois and others. All rights reserved. +# +# This program and the accompanying materials are made available under the +# terms of the Mozilla Public License v2.0 which accompanies this distribution, +# and is available at https://www.mozilla.org/en-US/MPL/2.0/ + +from pyincore.analyses.mlenabledcgemobile.mlcgemobile import ( + MlEnabledCgeMobile, +) diff --git a/pyincore/analyses/mlenabledcgemobile/baseKAP.csv b/pyincore/analyses/mlenabledcgemobile/baseKAP.csv new file mode 100644 index 00000000..4825d6d2 --- /dev/null +++ b/pyincore/analyses/mlenabledcgemobile/baseKAP.csv @@ -0,0 +1,27 @@ +,sector,baseKAP +0,DRY_BULK,68.969232 +1,LIQUID_BULK,379.673045 +2,CONTAINER,104.01497 +3,WAREHOUSE,329.637902 +4,AGRI,11.6641 +5,MINING,71.53602 +6,UTIL,31.34343 +7,CONST,602.8759 +8,MANU,1942.54 +9,WHOLE,1069.871 +10,RETAIL,2107.703 +11,TRANS,1094.644 +12,INFO,260.2147 +13,FINANCE,407.3137 +14,REALE,461.5123 +15,PROF,623.0549 +16,MANAGE,5.016901 +17,ADMIN,300.8597 +18,EDU,1564.064 +19,HEALTH,1228.571 +20,ART,2009.566 +21,ACCO,1108.459 +22,OTHER,3256.325 +23,HS1,6336.942 +24,HS2,15054.08 +25,HS3,7286.484 diff --git a/pyincore/analyses/mlenabledcgemobile/mlcgemobile.py b/pyincore/analyses/mlenabledcgemobile/mlcgemobile.py new file mode 100644 index 00000000..d70170ed --- /dev/null +++ b/pyincore/analyses/mlenabledcgemobile/mlcgemobile.py @@ -0,0 +1,190 @@ +# Copyright (c) 2024 University of Illinois and others. All rights reserved. +# +# This program and the accompanying materials are made available under the +# terms of the Mozilla Public License v2.0 which accompanies this distribution, +# and is available at https://www.mozilla.org/en-US/MPL/2.0/ + +import numpy as np +import os +import pandas as pd + +from pyincore import globals as pyglobals +from pyincore.client import IncoreClient +from pyincore.analyses.core_cge_ml import CoreCGEML +from pyincore.utils.cge_ml_file_util import CGEMLFileUtil + +logger = pyglobals.LOGGER + + +class MlEnabledCgeMobile(CoreCGEML): + model = "Machine Learning Enabled Computable General Equilibrium - Mobile" + + # Coefficients files + DDS_coefficients_file = "DDS_coefficients.csv" + DY_coefficients_file = "DY_coefficients.csv" + MIGT_coefficients_file = "MIGT_coefficients.csv" + DFFD_coefficients_file = "DFFD_coefficients.csv" + + # Base value files + DS_base_val_file = "DS_base_val.csv" + GI_base_val_file = "GI_base_val.csv" + HH_base_val_file = "HH_base_val.csv" + FD_base_val_file = "FD_base_val.csv" + + Base_KAP_file = "baseKAP.csv" + + base_file_path = os.path.join( + pyglobals.PYINCORE_PACKAGE_HOME, + "analyses", + "mlenabledcgemobile", + ) + + model_filenames = { + "ds": os.path.join( + base_file_path, + DDS_coefficients_file, + ), + "dy": os.path.join( + base_file_path, + DY_coefficients_file, + ), + "migt": os.path.join( + base_file_path, + MIGT_coefficients_file, + ), + "dffd": os.path.join( + base_file_path, + DFFD_coefficients_file, + ), + } + + filenames = [ + os.path.join( + base_file_path, + DS_base_val_file, + ), + os.path.join( + base_file_path, + GI_base_val_file, + ), + os.path.join( + base_file_path, + HH_base_val_file, + ), + os.path.join( + base_file_path, + FD_base_val_file, + ), + os.path.join( + base_file_path, + Base_KAP_file, + ), + ] + + def __init__(self, incore_client: IncoreClient): + ( + sectors, + base_cap_factors, + base_cap, + model_coeffs, + cap_shock_sectors, + ) = CGEMLFileUtil.parse_files(self.model_filenames, self.filenames) + self.base_cap_factors = base_cap_factors + self.base_cap = base_cap + self.model_coeffs = model_coeffs + self.cap_shock_sectors = cap_shock_sectors + labor_grps = [f"L{gp}" for gp in range(1, 5)] + + super(MlEnabledCgeMobile, self).__init__( + incore_client, + sectors, + labor_groups=labor_grps, + ) # 4 labor groups + + def run(self) -> bool: + """Executes the ML enabled CGE model for Mobile""" + + logger.info(f"Running {self.model} model...") + sector_shocks = pd.read_csv( + self.get_input_dataset("sector_shocks").get_file_path("csv") + ) + # arrange the capital shocks in the same order as the sectors + shocks = [] + + for sector in self.cap_shock_sectors: + if sector.upper() not in [v.upper() for v in sector_shocks["sector"]]: + raise ValueError( + f"Sector {sector} not found in the sector shocks file with\n {sector_shocks['sector']} sectors.\n" + + "Please make sure you have used the correct capital shocks" + ) + shocks.append( + sector_shocks.loc[sector_shocks["sector"] == sector.upper()]["shock"] + ) + capital_shocks = np.array(shocks, dtype=np.float64).reshape(1, -1) + # logger.info(f"capital_shocks shape: {capital_shocks.shape}") + # logger.info(f"capital_shocks: {capital_shocks}") + # logger.info(f"base_cap: {self.base_cap}") + + super().run_core_cge_ml( + self.base_cap, + capital_shocks, + self.model_coeffs, + self.base_cap_factors, + ) + logger.info(f"Running {self.model} model completed.") + + return True + + def get_spec(self): + return { + "name": "Mobile-cge", + "description": "CGE model for Mobile.", + "input_parameters": [ + { + "id": "result_name", + "required": False, + "description": "Result CSV dataset name prefix", + "type": str, + } + ], + "input_datasets": [ + { + "id": "sector_shocks", + "required": True, + "description": "Aggregation of building functionality states to capital shocks per sector", + "type": ["incore:capitalShocks"], + } + ], + "output_datasets": [ + { + "id": "domestic-supply", + "parent_type": "", + "description": "CSV file of resulting domestic supply", + "type": "incore:Employment", + }, + { + "id": "gross-income", + "parent_type": "", + "description": "CSV file of resulting gross income", + "type": "incore:Employment", + }, + { + "id": "pre-disaster-factor-demand", + "parent_type": "", + "description": "CSV file of factor demand before disaster", + "type": "incore:FactorDemand", + }, + { + "id": "post-disaster-factor-demand", + "parent_type": "", + "description": "CSV file of resulting factor-demand", + "type": "incore:FactorDemand", + }, + { + "id": "household-count", + "parent_type": "", + "description": "CSV file of household count", + "type": "incore:HouseholdCount", + }, + ], + } diff --git a/tests/pyincore/analyses/mlenabledcgemobile/test_mlcgemobile.py b/tests/pyincore/analyses/mlenabledcgemobile/test_mlcgemobile.py new file mode 100644 index 00000000..72c79ae8 --- /dev/null +++ b/tests/pyincore/analyses/mlenabledcgemobile/test_mlcgemobile.py @@ -0,0 +1,14 @@ +from pyincore import IncoreClient, globals as pyglobals +from pyincore.analyses.mlenabledcgemobile import MlEnabledCgeMobile + +client = IncoreClient(pyglobals.INCORE_API_DEV_URL) + +mlcgemobile = MlEnabledCgeMobile(client) + +sector_shocks = "68434532d11a287c7c34a64a" + +mlcgemobile.load_remote_input_dataset("sector_shocks", sector_shocks) +# optional +mlcgemobile.set_parameter("result_name", "test_mobile_mlcge_result") + +mlcgemobile.run_analysis()